Serveur d'exploration Chloroquine

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Repurposing Brigatinib for the Treatment of Colorectal Cancer Based on Inhibition of ER-phagy

Identifieur interne : 000820 ( Pmc/Corpus ); précédent : 000819; suivant : 000821

Repurposing Brigatinib for the Treatment of Colorectal Cancer Based on Inhibition of ER-phagy

Auteurs : Zhe Zhang ; Wei Gao ; Li Zhou ; Yan Chen ; Siyuan Qin ; Lu Zhang ; Jiayang Liu ; Yujia He ; Yunlong Lei ; Hai-Ning Chen ; Junhong Han ; Zong-Guang Zhou ; Edouard C. Nice ; Changlong Li ; Canhua Huang ; Xiawei Wei

Source :

RBID : PMC:6691391

Abstract

Rationale: The sustained and severe endoplasmic reticulum (ER) stress in cancer cells may contribute to apoptotic cell death, thus representing a potential target for cancer therapy. Brigatinib is an anaplastic lymphoma kinase (ALK) inhibitor approved for the treatment of ALK-positive non-small-cell lung cancer (NSCLC). However, it remains unclear if brigatinib has alternative model of action to exert antitumor effect in ALK-negative cancers.

Methods: ALK-positive NSCLC cells and various human ALK-negative cancer cells, especially human colorectal cancer (CRC) cells were used to examine the tumor suppression effect of brigatinib alone or in combination with autophagy inhibitors in vitro and in vivo. A variety of biochemical assays were conducted to elucidate the underlying mechanisms of brigatinib in CRC cells.

Results: Here, we show the significant anti-cancer effect of brigatinib in CRC through induction of apoptosis by sustained ER stress. Mechanistically, brigatinib induces ER stress via promoting the interaction between ubiquitin-specific peptidase 5 (USP5), a deubiquitinase, and oxysterol-binding protein-related protein 8 (ORP8), leading to ORP8 deubiquitination, accumulation and growth inhibition. Furthermore, we find that brigatinib-mediated ER stress simultaneously induces autophagic response via ER-phagy that acts as a protective mechanism to relieve excessive ER stress. As such, combination of brigatinib with autophagy inhibitors significantly enhances the anti-CRC effect of brigatinib both in vitro and in vivo, supporting the repurposing of brigatinib in CRC, independently of ALK.

Conclusion: The unearthed new molecular action of brigatinib suggests that therapeutic modulation of ER stress and autophagy might represent a valid strategy to treat CRC and perhaps other ALK-negative cancers.


Url:
DOI: 10.7150/thno.36254
PubMed: 31410188
PubMed Central: 6691391

Links to Exploration step

PMC:6691391

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Repurposing Brigatinib for the Treatment of Colorectal Cancer Based on Inhibition of ER-phagy</title>
<author>
<name sortKey="Zhang, Zhe" sort="Zhang, Zhe" uniqKey="Zhang Z" first="Zhe" last="Zhang">Zhe Zhang</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gao, Wei" sort="Gao, Wei" uniqKey="Gao W" first="Wei" last="Gao">Wei Gao</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhou, Li" sort="Zhou, Li" uniqKey="Zhou L" first="Li" last="Zhou">Li Zhou</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Yan" sort="Chen, Yan" uniqKey="Chen Y" first="Yan" last="Chen">Yan Chen</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Qin, Siyuan" sort="Qin, Siyuan" uniqKey="Qin S" first="Siyuan" last="Qin">Siyuan Qin</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhang, Lu" sort="Zhang, Lu" uniqKey="Zhang L" first="Lu" last="Zhang">Lu Zhang</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Liu, Jiayang" sort="Liu, Jiayang" uniqKey="Liu J" first="Jiayang" last="Liu">Jiayang Liu</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="He, Yujia" sort="He, Yujia" uniqKey="He Y" first="Yujia" last="He">Yujia He</name>
<affiliation>
<nlm:aff id="A2">West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lei, Yunlong" sort="Lei, Yunlong" uniqKey="Lei Y" first="Yunlong" last="Lei">Yunlong Lei</name>
<affiliation>
<nlm:aff id="A3">Department of Biochemistry and Molecular Biology, and Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Hai Ning" sort="Chen, Hai Ning" uniqKey="Chen H" first="Hai-Ning" last="Chen">Hai-Ning Chen</name>
<affiliation>
<nlm:aff id="A4">Department of Gastrointestinal Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Han, Junhong" sort="Han, Junhong" uniqKey="Han J" first="Junhong" last="Han">Junhong Han</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhou, Zong Guang" sort="Zhou, Zong Guang" uniqKey="Zhou Z" first="Zong-Guang" last="Zhou">Zong-Guang Zhou</name>
<affiliation>
<nlm:aff id="A4">Department of Gastrointestinal Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nice, Edouard C" sort="Nice, Edouard C" uniqKey="Nice E" first="Edouard C." last="Nice">Edouard C. Nice</name>
<affiliation>
<nlm:aff id="A5">Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Li, Changlong" sort="Li, Changlong" uniqKey="Li C" first="Changlong" last="Li">Changlong Li</name>
<affiliation>
<nlm:aff id="A2">West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Huang, Canhua" sort="Huang, Canhua" uniqKey="Huang C" first="Canhua" last="Huang">Canhua Huang</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wei, Xiawei" sort="Wei, Xiawei" uniqKey="Wei X" first="Xiawei" last="Wei">Xiawei Wei</name>
<affiliation>
<nlm:aff id="A6">Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">31410188</idno>
<idno type="pmc">6691391</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691391</idno>
<idno type="RBID">PMC:6691391</idno>
<idno type="doi">10.7150/thno.36254</idno>
<date when="2019">2019</date>
<idno type="wicri:Area/Pmc/Corpus">000820</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000820</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Repurposing Brigatinib for the Treatment of Colorectal Cancer Based on Inhibition of ER-phagy</title>
<author>
<name sortKey="Zhang, Zhe" sort="Zhang, Zhe" uniqKey="Zhang Z" first="Zhe" last="Zhang">Zhe Zhang</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Gao, Wei" sort="Gao, Wei" uniqKey="Gao W" first="Wei" last="Gao">Wei Gao</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhou, Li" sort="Zhou, Li" uniqKey="Zhou L" first="Li" last="Zhou">Li Zhou</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Yan" sort="Chen, Yan" uniqKey="Chen Y" first="Yan" last="Chen">Yan Chen</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Qin, Siyuan" sort="Qin, Siyuan" uniqKey="Qin S" first="Siyuan" last="Qin">Siyuan Qin</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhang, Lu" sort="Zhang, Lu" uniqKey="Zhang L" first="Lu" last="Zhang">Lu Zhang</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Liu, Jiayang" sort="Liu, Jiayang" uniqKey="Liu J" first="Jiayang" last="Liu">Jiayang Liu</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="He, Yujia" sort="He, Yujia" uniqKey="He Y" first="Yujia" last="He">Yujia He</name>
<affiliation>
<nlm:aff id="A2">West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Lei, Yunlong" sort="Lei, Yunlong" uniqKey="Lei Y" first="Yunlong" last="Lei">Yunlong Lei</name>
<affiliation>
<nlm:aff id="A3">Department of Biochemistry and Molecular Biology, and Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Hai Ning" sort="Chen, Hai Ning" uniqKey="Chen H" first="Hai-Ning" last="Chen">Hai-Ning Chen</name>
<affiliation>
<nlm:aff id="A4">Department of Gastrointestinal Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Han, Junhong" sort="Han, Junhong" uniqKey="Han J" first="Junhong" last="Han">Junhong Han</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhou, Zong Guang" sort="Zhou, Zong Guang" uniqKey="Zhou Z" first="Zong-Guang" last="Zhou">Zong-Guang Zhou</name>
<affiliation>
<nlm:aff id="A4">Department of Gastrointestinal Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nice, Edouard C" sort="Nice, Edouard C" uniqKey="Nice E" first="Edouard C." last="Nice">Edouard C. Nice</name>
<affiliation>
<nlm:aff id="A5">Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Li, Changlong" sort="Li, Changlong" uniqKey="Li C" first="Changlong" last="Li">Changlong Li</name>
<affiliation>
<nlm:aff id="A2">West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Huang, Canhua" sort="Huang, Canhua" uniqKey="Huang C" first="Canhua" last="Huang">Canhua Huang</name>
<affiliation>
<nlm:aff id="A1">State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wei, Xiawei" sort="Wei, Xiawei" uniqKey="Wei X" first="Xiawei" last="Wei">Xiawei Wei</name>
<affiliation>
<nlm:aff id="A6">Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Theranostics</title>
<idno type="eISSN">1838-7640</idno>
<imprint>
<date when="2019">2019</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>
<bold>Rationale</bold>
: The sustained and severe endoplasmic reticulum (ER) stress in cancer cells may contribute to apoptotic cell death, thus representing a potential target for cancer therapy. Brigatinib is an anaplastic lymphoma kinase (ALK) inhibitor approved for the treatment of ALK-positive non-small-cell lung cancer (NSCLC). However, it remains unclear if brigatinib has alternative model of action to exert antitumor effect in ALK-negative cancers.</p>
<p>
<bold>Methods</bold>
: ALK-positive NSCLC cells and various human ALK-negative cancer cells, especially human colorectal cancer (CRC) cells were used to examine the tumor suppression effect of brigatinib alone or in combination with autophagy inhibitors
<italic> in vitro</italic>
and
<italic>in vivo</italic>
. A variety of biochemical assays were conducted to elucidate the underlying mechanisms of brigatinib in CRC cells.</p>
<p>
<bold>Results</bold>
: Here, we show the significant anti-cancer effect of brigatinib in CRC through induction of apoptosis by sustained ER stress. Mechanistically, brigatinib induces ER stress via promoting the interaction between ubiquitin-specific peptidase 5 (USP5), a deubiquitinase, and oxysterol-binding protein-related protein 8 (ORP8), leading to ORP8 deubiquitination, accumulation and growth inhibition. Furthermore, we find that brigatinib-mediated ER stress simultaneously induces autophagic response via ER-phagy that acts as a protective mechanism to relieve excessive ER stress. As such, combination of brigatinib with autophagy inhibitors significantly enhances the anti-CRC effect of brigatinib both
<italic>in vitro</italic>
and
<italic> in vivo</italic>
, supporting the repurposing of brigatinib in CRC, independently of ALK.</p>
<p>
<bold>Conclusion</bold>
: The unearthed new molecular action of brigatinib suggests that therapeutic modulation of ER stress and autophagy might represent a valid strategy to treat CRC and perhaps other ALK-negative cancers.</p>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct>
<analytic>
<author>
<name sortKey="Cerezo, M" uniqKey="Cerezo M">M Cerezo</name>
</author>
<author>
<name sortKey="Lehraiki, A" uniqKey="Lehraiki A">A Lehraiki</name>
</author>
<author>
<name sortKey="Millet, A" uniqKey="Millet A">A Millet</name>
</author>
<author>
<name sortKey="Rouaud, F" uniqKey="Rouaud F">F Rouaud</name>
</author>
<author>
<name sortKey="Plaisant, M" uniqKey="Plaisant M">M Plaisant</name>
</author>
<author>
<name sortKey="Jaune, E" uniqKey="Jaune E">E Jaune</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Niessner, H" uniqKey="Niessner H">H Niessner</name>
</author>
<author>
<name sortKey="Sinnberg, T" uniqKey="Sinnberg T">T Sinnberg</name>
</author>
<author>
<name sortKey="Kosnopfel, C" uniqKey="Kosnopfel C">C Kosnopfel</name>
</author>
<author>
<name sortKey="Smalley, Ksm" uniqKey="Smalley K">KSM Smalley</name>
</author>
<author>
<name sortKey="Beck, D" uniqKey="Beck D">D Beck</name>
</author>
<author>
<name sortKey="Praetorius, C" uniqKey="Praetorius C">C Praetorius</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhang, Z" uniqKey="Zhang Z">Z Zhang</name>
</author>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author>
<name sortKey="Zhou, L" uniqKey="Zhou L">L Zhou</name>
</author>
<author>
<name sortKey="Lei, Y" uniqKey="Lei Y">Y Lei</name>
</author>
<author>
<name sortKey="Zhang, Y" uniqKey="Zhang Y">Y Zhang</name>
</author>
<author>
<name sortKey="Huang, C" uniqKey="Huang C">C Huang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Jacquemyn, J" uniqKey="Jacquemyn J">J Jacquemyn</name>
</author>
<author>
<name sortKey="Cascalho, A" uniqKey="Cascalho A">A Cascalho</name>
</author>
<author>
<name sortKey="Goodchild, Re" uniqKey="Goodchild R">RE Goodchild</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rutkowski, Dt" uniqKey="Rutkowski D">DT Rutkowski</name>
</author>
<author>
<name sortKey="Kaufman, Rj" uniqKey="Kaufman R">RJ Kaufman</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hetz, C" uniqKey="Hetz C">C Hetz</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lisbona, F" uniqKey="Lisbona F">F Lisbona</name>
</author>
<author>
<name sortKey="Rojas Rivera, D" uniqKey="Rojas Rivera D">D Rojas-Rivera</name>
</author>
<author>
<name sortKey="Thielen, P" uniqKey="Thielen P">P Thielen</name>
</author>
<author>
<name sortKey="Zamorano, S" uniqKey="Zamorano S">S Zamorano</name>
</author>
<author>
<name sortKey="Todd, D" uniqKey="Todd D">D Todd</name>
</author>
<author>
<name sortKey="Martinon, F" uniqKey="Martinon F">F Martinon</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zheng, Y" uniqKey="Zheng Y">Y Zheng</name>
</author>
<author>
<name sortKey="Wang, K" uniqKey="Wang K">K Wang</name>
</author>
<author>
<name sortKey="Wu, Y" uniqKey="Wu Y">Y Wu</name>
</author>
<author>
<name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name>
</author>
<author>
<name sortKey="Chen, X" uniqKey="Chen X">X Chen</name>
</author>
<author>
<name sortKey="Hu, Cw" uniqKey="Hu C">CW Hu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Song, S" uniqKey="Song S">S Song</name>
</author>
<author>
<name sortKey="Tan, J" uniqKey="Tan J">J Tan</name>
</author>
<author>
<name sortKey="Miao, Y" uniqKey="Miao Y">Y Miao</name>
</author>
<author>
<name sortKey="Zhang, Q" uniqKey="Zhang Q">Q Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rouschop, Km" uniqKey="Rouschop K">KM Rouschop</name>
</author>
<author>
<name sortKey="Van Den Beucken, T" uniqKey="Van Den Beucken T">T van den Beucken</name>
</author>
<author>
<name sortKey="Dubois, L" uniqKey="Dubois L">L Dubois</name>
</author>
<author>
<name sortKey="Niessen, H" uniqKey="Niessen H">H Niessen</name>
</author>
<author>
<name sortKey="Bussink, J" uniqKey="Bussink J">J Bussink</name>
</author>
<author>
<name sortKey="Savelkouls, K" uniqKey="Savelkouls K">K Savelkouls</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Anding, Al" uniqKey="Anding A">AL Anding</name>
</author>
<author>
<name sortKey="Baehrecke, Eh" uniqKey="Baehrecke E">EH Baehrecke</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Bernales, S" uniqKey="Bernales S">S Bernales</name>
</author>
<author>
<name sortKey="Schuck, S" uniqKey="Schuck S">S Schuck</name>
</author>
<author>
<name sortKey="Walter, P" uniqKey="Walter P">P Walter</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Grumati, P" uniqKey="Grumati P">P Grumati</name>
</author>
<author>
<name sortKey="Dikic, I" uniqKey="Dikic I">I Dikic</name>
</author>
<author>
<name sortKey="Stolz, A" uniqKey="Stolz A">A Stolz</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Dikic, I" uniqKey="Dikic I">I Dikic</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Khaminets, A" uniqKey="Khaminets A">A Khaminets</name>
</author>
<author>
<name sortKey="Heinrich, T" uniqKey="Heinrich T">T Heinrich</name>
</author>
<author>
<name sortKey="Mari, M" uniqKey="Mari M">M Mari</name>
</author>
<author>
<name sortKey="Grumati, P" uniqKey="Grumati P">P Grumati</name>
</author>
<author>
<name sortKey="Huebner, Ak" uniqKey="Huebner A">AK Huebner</name>
</author>
<author>
<name sortKey="Akutsu, M" uniqKey="Akutsu M">M Akutsu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Viswanath, P" uniqKey="Viswanath P">P Viswanath</name>
</author>
<author>
<name sortKey="Radoul, M" uniqKey="Radoul M">M Radoul</name>
</author>
<author>
<name sortKey="Izquierdo Garcia, Jl" uniqKey="Izquierdo Garcia J">JL Izquierdo-Garcia</name>
</author>
<author>
<name sortKey="Ong, Wq" uniqKey="Ong W">WQ Ong</name>
</author>
<author>
<name sortKey="Luchman, Ha" uniqKey="Luchman H">HA Luchman</name>
</author>
<author>
<name sortKey="Cairncross, Jg" uniqKey="Cairncross J">JG Cairncross</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author>
<name sortKey="Kebebew, E" uniqKey="Kebebew E">E Kebebew</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Das, M" uniqKey="Das M">M Das</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Markham, A" uniqKey="Markham A">A Markham</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Siaw, Jt" uniqKey="Siaw J">JT Siaw</name>
</author>
<author>
<name sortKey="Wan, H" uniqKey="Wan H">H Wan</name>
</author>
<author>
<name sortKey="Pfeifer, K" uniqKey="Pfeifer K">K Pfeifer</name>
</author>
<author>
<name sortKey="Rivera, Vm" uniqKey="Rivera V">VM Rivera</name>
</author>
<author>
<name sortKey="Guan, J" uniqKey="Guan J">J Guan</name>
</author>
<author>
<name sortKey="Palmer, Rh" uniqKey="Palmer R">RH Palmer</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Huang, Ws" uniqKey="Huang W">WS Huang</name>
</author>
<author>
<name sortKey="Liu, S" uniqKey="Liu S">S Liu</name>
</author>
<author>
<name sortKey="Zou, D" uniqKey="Zou D">D Zou</name>
</author>
<author>
<name sortKey="Thomas, M" uniqKey="Thomas M">M Thomas</name>
</author>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author>
<name sortKey="Zhou, T" uniqKey="Zhou T">T Zhou</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name>
</author>
<author>
<name sortKey="Chen, Hn" uniqKey="Chen H">HN Chen</name>
</author>
<author>
<name sortKey="Wang, K" uniqKey="Wang K">K Wang</name>
</author>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author>
<name sortKey="Huang, Z" uniqKey="Huang Z">Z Huang</name>
</author>
<author>
<name sortKey="Liu, J" uniqKey="Liu J">J Liu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhou, L" uniqKey="Zhou L">L Zhou</name>
</author>
<author>
<name sortKey="Gao, W" uniqKey="Gao W">W Gao</name>
</author>
<author>
<name sortKey="Wang, K" uniqKey="Wang K">K Wang</name>
</author>
<author>
<name sortKey="Huang, Z" uniqKey="Huang Z">Z Huang</name>
</author>
<author>
<name sortKey="Zhang, L" uniqKey="Zhang L">L Zhang</name>
</author>
<author>
<name sortKey="Zhang, Z" uniqKey="Zhang Z">Z Zhang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Hetz, C" uniqKey="Hetz C">C Hetz</name>
</author>
<author>
<name sortKey="Papa, Fr" uniqKey="Papa F">FR Papa</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lagace, Ta" uniqKey="Lagace T">TA Lagace</name>
</author>
<author>
<name sortKey="Ridgway, Nd" uniqKey="Ridgway N">ND Ridgway</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Fagone, P" uniqKey="Fagone P">P Fagone</name>
</author>
<author>
<name sortKey="Jackowski, S" uniqKey="Jackowski S">S Jackowski</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Du, X" uniqKey="Du X">X Du</name>
</author>
<author>
<name sortKey="Turner, N" uniqKey="Turner N">N Turner</name>
</author>
<author>
<name sortKey="Yang, H" uniqKey="Yang H">H Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Olkkonen, Vm" uniqKey="Olkkonen V">VM Olkkonen</name>
</author>
<author>
<name sortKey="Li, S" uniqKey="Li S">S Li</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zhong, W" uniqKey="Zhong W">W Zhong</name>
</author>
<author>
<name sortKey="Qin, S" uniqKey="Qin S">S Qin</name>
</author>
<author>
<name sortKey="Zhu, B" uniqKey="Zhu B">B Zhu</name>
</author>
<author>
<name sortKey="Pu, M" uniqKey="Pu M">M Pu</name>
</author>
<author>
<name sortKey="Liu, F" uniqKey="Liu F">F Liu</name>
</author>
<author>
<name sortKey="Wang, L" uniqKey="Wang L">L Wang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Li, J" uniqKey="Li J">J Li</name>
</author>
<author>
<name sortKey="Zheng, X" uniqKey="Zheng X">X Zheng</name>
</author>
<author>
<name sortKey="Lou, N" uniqKey="Lou N">N Lou</name>
</author>
<author>
<name sortKey="Zhong, W" uniqKey="Zhong W">W Zhong</name>
</author>
<author>
<name sortKey="Yan, D" uniqKey="Yan D">D Yan</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Du, X" uniqKey="Du X">X Du</name>
</author>
<author>
<name sortKey="Zadoorian, A" uniqKey="Zadoorian A">A Zadoorian</name>
</author>
<author>
<name sortKey="Lukmantara, Ie" uniqKey="Lukmantara I">IE Lukmantara</name>
</author>
<author>
<name sortKey="Qi, Y" uniqKey="Qi Y">Y Qi</name>
</author>
<author>
<name sortKey="Brown, Aj" uniqKey="Brown A">AJ Brown</name>
</author>
<author>
<name sortKey="Yang, H" uniqKey="Yang H">H Yang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yamamoto, T" uniqKey="Yamamoto T">T Yamamoto</name>
</author>
<author>
<name sortKey="Takabatake, Y" uniqKey="Takabatake Y">Y Takabatake</name>
</author>
<author>
<name sortKey="Kimura, T" uniqKey="Kimura T">T Kimura</name>
</author>
<author>
<name sortKey="Takahashi, A" uniqKey="Takahashi A">A Takahashi</name>
</author>
<author>
<name sortKey="Namba, T" uniqKey="Namba T">T Namba</name>
</author>
<author>
<name sortKey="Matsuda, J" uniqKey="Matsuda J">J Matsuda</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mahoney, E" uniqKey="Mahoney E">E Mahoney</name>
</author>
<author>
<name sortKey="Lucas, Dm" uniqKey="Lucas D">DM Lucas</name>
</author>
<author>
<name sortKey="Gupta, Sv" uniqKey="Gupta S">SV Gupta</name>
</author>
<author>
<name sortKey="Wagner, Aj" uniqKey="Wagner A">AJ Wagner</name>
</author>
<author>
<name sortKey="Herman, Se" uniqKey="Herman S">SE Herman</name>
</author>
<author>
<name sortKey="Smith, Ll" uniqKey="Smith L">LL Smith</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Li, X" uniqKey="Li X">X Li</name>
</author>
<author>
<name sortKey="Zhu, F" uniqKey="Zhu F">F Zhu</name>
</author>
<author>
<name sortKey="Jiang, J" uniqKey="Jiang J">J Jiang</name>
</author>
<author>
<name sortKey="Sun, C" uniqKey="Sun C">C Sun</name>
</author>
<author>
<name sortKey="Zhong, Q" uniqKey="Zhong Q">Q Zhong</name>
</author>
<author>
<name sortKey="Shen, M" uniqKey="Shen M">M Shen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mokarram, P" uniqKey="Mokarram P">P Mokarram</name>
</author>
<author>
<name sortKey="Albokashy, M" uniqKey="Albokashy M">M Albokashy</name>
</author>
<author>
<name sortKey="Zarghooni, M" uniqKey="Zarghooni M">M Zarghooni</name>
</author>
<author>
<name sortKey="Moosavi, Ma" uniqKey="Moosavi M">MA Moosavi</name>
</author>
<author>
<name sortKey="Sepehri, Z" uniqKey="Sepehri Z">Z Sepehri</name>
</author>
<author>
<name sortKey="Chen, Qm" uniqKey="Chen Q">QM Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ma, B" uniqKey="Ma B">B Ma</name>
</author>
<author>
<name sortKey="Zhang, H" uniqKey="Zhang H">H Zhang</name>
</author>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y Wang</name>
</author>
<author>
<name sortKey="Zhao, A" uniqKey="Zhao A">A Zhao</name>
</author>
<author>
<name sortKey="Zhu, Z" uniqKey="Zhu Z">Z Zhu</name>
</author>
<author>
<name sortKey="Bao, X" uniqKey="Bao X">X Bao</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Corazzari, M" uniqKey="Corazzari M">M Corazzari</name>
</author>
<author>
<name sortKey="Rapino, F" uniqKey="Rapino F">F Rapino</name>
</author>
<author>
<name sortKey="Ciccosanti, F" uniqKey="Ciccosanti F">F Ciccosanti</name>
</author>
<author>
<name sortKey="Giglio, P" uniqKey="Giglio P">P Giglio</name>
</author>
<author>
<name sortKey="Antonioli, M" uniqKey="Antonioli M">M Antonioli</name>
</author>
<author>
<name sortKey="Conti, B" uniqKey="Conti B">B Conti</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Garcia Navas, R" uniqKey="Garcia Navas R">R Garcia-Navas</name>
</author>
<author>
<name sortKey="Munder, M" uniqKey="Munder M">M Munder</name>
</author>
<author>
<name sortKey="Mollinedo, F" uniqKey="Mollinedo F">F Mollinedo</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Lipatova, Z" uniqKey="Lipatova Z">Z Lipatova</name>
</author>
<author>
<name sortKey="Segev, N" uniqKey="Segev N">N Segev</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Schuck, S" uniqKey="Schuck S">S Schuck</name>
</author>
<author>
<name sortKey="Gallagher, Cm" uniqKey="Gallagher C">CM Gallagher</name>
</author>
<author>
<name sortKey="Walter, P" uniqKey="Walter P">P Walter</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mizushima, N" uniqKey="Mizushima N">N Mizushima</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Breckenridge, A" uniqKey="Breckenridge A">A Breckenridge</name>
</author>
<author>
<name sortKey="Jacob, R" uniqKey="Jacob R">R Jacob</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Howell, Jj" uniqKey="Howell J">JJ Howell</name>
</author>
<author>
<name sortKey="Hellberg, K" uniqKey="Hellberg K">K Hellberg</name>
</author>
<author>
<name sortKey="Turner, M" uniqKey="Turner M">M Turner</name>
</author>
<author>
<name sortKey="Talbott, G" uniqKey="Talbott G">G Talbott</name>
</author>
<author>
<name sortKey="Kolar, Mj" uniqKey="Kolar M">MJ Kolar</name>
</author>
<author>
<name sortKey="Ross, Ds" uniqKey="Ross D">DS Ross</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Liu, X" uniqKey="Liu X">X Liu</name>
</author>
<author>
<name sortKey="Romero, Il" uniqKey="Romero I">IL Romero</name>
</author>
<author>
<name sortKey="Litchfield, Lm" uniqKey="Litchfield L">LM Litchfield</name>
</author>
<author>
<name sortKey="Lengyel, E" uniqKey="Lengyel E">E Lengyel</name>
</author>
<author>
<name sortKey="Locasale, Jw" uniqKey="Locasale J">JW Locasale</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Shaw, At" uniqKey="Shaw A">AT Shaw</name>
</author>
<author>
<name sortKey="Ou, Sh" uniqKey="Ou S">SH Ou</name>
</author>
<author>
<name sortKey="Bang, Yj" uniqKey="Bang Y">YJ Bang</name>
</author>
<author>
<name sortKey="Camidge, Dr" uniqKey="Camidge D">DR Camidge</name>
</author>
<author>
<name sortKey="Solomon, Bj" uniqKey="Solomon B">BJ Solomon</name>
</author>
<author>
<name sortKey="Salgia, R" uniqKey="Salgia R">R Salgia</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Matzke Ogi, A" uniqKey="Matzke Ogi A">A Matzke-Ogi</name>
</author>
<author>
<name sortKey="Jannasch, K" uniqKey="Jannasch K">K Jannasch</name>
</author>
<author>
<name sortKey="Shatirishvili, M" uniqKey="Shatirishvili M">M Shatirishvili</name>
</author>
<author>
<name sortKey="Fuchs, B" uniqKey="Fuchs B">B Fuchs</name>
</author>
<author>
<name sortKey="Chiblak, S" uniqKey="Chiblak S">S Chiblak</name>
</author>
<author>
<name sortKey="Morton, J" uniqKey="Morton J">J Morton</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wang, J" uniqKey="Wang J">J Wang</name>
</author>
<author>
<name sortKey="Qi, Q" uniqKey="Qi Q">Q Qi</name>
</author>
<author>
<name sortKey="Zhou, W" uniqKey="Zhou W">W Zhou</name>
</author>
<author>
<name sortKey="Feng, Z" uniqKey="Feng Z">Z Feng</name>
</author>
<author>
<name sortKey="Huang, B" uniqKey="Huang B">B Huang</name>
</author>
<author>
<name sortKey="Chen, A" uniqKey="Chen A">A Chen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Cheng, X" uniqKey="Cheng X">X Cheng</name>
</author>
<author>
<name sortKey="Feng, H" uniqKey="Feng H">H Feng</name>
</author>
<author>
<name sortKey="Wu, H" uniqKey="Wu H">H Wu</name>
</author>
<author>
<name sortKey="Jin, Z" uniqKey="Jin Z">Z Jin</name>
</author>
<author>
<name sortKey="Shen, X" uniqKey="Shen X">X Shen</name>
</author>
<author>
<name sortKey="Kuang, J" uniqKey="Kuang J">J Kuang</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="D Arcy, P" uniqKey="D Arcy P">P D'Arcy</name>
</author>
<author>
<name sortKey="Linder, S" uniqKey="Linder S">S Linder</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Ovaa, H" uniqKey="Ovaa H">H Ovaa</name>
</author>
<author>
<name sortKey="Kessler, Bm" uniqKey="Kessler B">BM Kessler</name>
</author>
<author>
<name sortKey="Rolen, U" uniqKey="Rolen U">U Rolen</name>
</author>
<author>
<name sortKey="Galardy, Pj" uniqKey="Galardy P">PJ Galardy</name>
</author>
<author>
<name sortKey="Ploegh, Hl" uniqKey="Ploegh H">HL Ploegh</name>
</author>
<author>
<name sortKey="Masucci, Mg" uniqKey="Masucci M">MG Masucci</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Wang, S" uniqKey="Wang S">S Wang</name>
</author>
<author>
<name sortKey="Juan, J" uniqKey="Juan J">J Juan</name>
</author>
<author>
<name sortKey="Zhang, Z" uniqKey="Zhang Z">Z Zhang</name>
</author>
<author>
<name sortKey="Du, Y" uniqKey="Du Y">Y Du</name>
</author>
<author>
<name sortKey="Xu, Y" uniqKey="Xu Y">Y Xu</name>
</author>
<author>
<name sortKey="Tong, J" uniqKey="Tong J">J Tong</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chen, Y" uniqKey="Chen Y">Y Chen</name>
</author>
<author>
<name sortKey="Li, Y" uniqKey="Li Y">Y Li</name>
</author>
<author>
<name sortKey="Xue, J" uniqKey="Xue J">J Xue</name>
</author>
<author>
<name sortKey="Gong, A" uniqKey="Gong A">A Gong</name>
</author>
<author>
<name sortKey="Yu, G" uniqKey="Yu G">G Yu</name>
</author>
<author>
<name sortKey="Zhou, A" uniqKey="Zhou A">A Zhou</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Theranostics</journal-id>
<journal-id journal-id-type="iso-abbrev">Theranostics</journal-id>
<journal-id journal-id-type="publisher-id">thno</journal-id>
<journal-title-group>
<journal-title>Theranostics</journal-title>
</journal-title-group>
<issn pub-type="epub">1838-7640</issn>
<publisher>
<publisher-name>Ivyspring International Publisher</publisher-name>
<publisher-loc>Sydney</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">31410188</article-id>
<article-id pub-id-type="pmc">6691391</article-id>
<article-id pub-id-type="doi">10.7150/thno.36254</article-id>
<article-id pub-id-type="publisher-id">thnov09p4878</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Paper</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Repurposing Brigatinib for the Treatment of Colorectal Cancer Based on Inhibition of ER-phagy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zhe</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="author-notes" rid="FNA_number">#</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="author-notes" rid="FNA_number">#</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yan</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname>
<given-names>Siyuan</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Lu</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Jiayang</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Yujia</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lei</surname>
<given-names>Yunlong</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Hai-Ning</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Han</surname>
<given-names>Junhong</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Zong-Guang</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nice</surname>
<given-names>Edouard C.</given-names>
</name>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Changlong</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Canhua</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="corresp" rid="FNA_envelop"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Xiawei</given-names>
</name>
<xref ref-type="aff" rid="A6">6</xref>
<xref ref-type="corresp" rid="FNA_envelop"></xref>
</contrib>
</contrib-group>
<aff id="A1">
<label>1</label>
State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</aff>
<aff id="A2">
<label>2</label>
West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China</aff>
<aff id="A3">
<label>3</label>
Department of Biochemistry and Molecular Biology, and Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, P. R. China</aff>
<aff id="A4">
<label>4</label>
Department of Gastrointestinal Surgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, 610041, P. R. China</aff>
<aff id="A5">
<label>5</label>
Department of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, Australia</aff>
<aff id="A6">
<label>6</label>
Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China</aff>
<author-notes>
<corresp id="FNA_envelop">✉ Corresponding authors: Prof. Canhua Huang, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, and West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, and Collaborative Innovation Center for Biotherapy, Chengdu, China. E-mail:
<email>hcanhua@scu.edu.cn</email>
. Prof. Xiawei Wei, Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China. E-mail:
<email>xiaweiwei@scu.edu.cn</email>
</corresp>
<fn fn-type="equal" id="FNA_number">
<p>
<sup>#</sup>
These authors contribute equally to this work</p>
</fn>
<fn fn-type="COI-statement">
<p>Competing Interests: The authors have declared that no competing interest exists.</p>
</fn>
</author-notes>
<pub-date pub-type="collection">
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>9</day>
<month>7</month>
<year>2019</year>
</pub-date>
<volume>9</volume>
<issue>17</issue>
<fpage>4878</fpage>
<lpage>4892</lpage>
<history>
<date date-type="received">
<day>2</day>
<month>5</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>6</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>© The author(s)</copyright-statement>
<copyright-year>2019</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (
<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>
). See
<ext-link ext-link-type="uri" xlink:href="http://ivyspring.com/terms">http://ivyspring.com/terms</ext-link>
for full terms and conditions.</license-p>
</license>
</permissions>
<abstract>
<p>
<bold>Rationale</bold>
: The sustained and severe endoplasmic reticulum (ER) stress in cancer cells may contribute to apoptotic cell death, thus representing a potential target for cancer therapy. Brigatinib is an anaplastic lymphoma kinase (ALK) inhibitor approved for the treatment of ALK-positive non-small-cell lung cancer (NSCLC). However, it remains unclear if brigatinib has alternative model of action to exert antitumor effect in ALK-negative cancers.</p>
<p>
<bold>Methods</bold>
: ALK-positive NSCLC cells and various human ALK-negative cancer cells, especially human colorectal cancer (CRC) cells were used to examine the tumor suppression effect of brigatinib alone or in combination with autophagy inhibitors
<italic> in vitro</italic>
and
<italic>in vivo</italic>
. A variety of biochemical assays were conducted to elucidate the underlying mechanisms of brigatinib in CRC cells.</p>
<p>
<bold>Results</bold>
: Here, we show the significant anti-cancer effect of brigatinib in CRC through induction of apoptosis by sustained ER stress. Mechanistically, brigatinib induces ER stress via promoting the interaction between ubiquitin-specific peptidase 5 (USP5), a deubiquitinase, and oxysterol-binding protein-related protein 8 (ORP8), leading to ORP8 deubiquitination, accumulation and growth inhibition. Furthermore, we find that brigatinib-mediated ER stress simultaneously induces autophagic response via ER-phagy that acts as a protective mechanism to relieve excessive ER stress. As such, combination of brigatinib with autophagy inhibitors significantly enhances the anti-CRC effect of brigatinib both
<italic>in vitro</italic>
and
<italic> in vivo</italic>
, supporting the repurposing of brigatinib in CRC, independently of ALK.</p>
<p>
<bold>Conclusion</bold>
: The unearthed new molecular action of brigatinib suggests that therapeutic modulation of ER stress and autophagy might represent a valid strategy to treat CRC and perhaps other ALK-negative cancers.</p>
</abstract>
<kwd-group>
<kwd>Brigatinib</kwd>
<kwd>ALK independence</kwd>
<kwd>ER stress</kwd>
<kwd>ER-phagy</kwd>
<kwd>Colorectal cancer</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Endoplasmic reticulum (ER) stress and unfolded protein response (UPR) have attracted much attention as therapeutic targets for cancer treatment in recent years
<xref rid="B1" ref-type="bibr">1</xref>
,
<xref rid="B2" ref-type="bibr">2</xref>
. The ER is responsible for the correct folding and posttranslational modifications of proteins, calcium storage, detoxification of chemical compounds, as well as lipid synthesis
<xref rid="B3" ref-type="bibr">3</xref>
,
<xref rid="B4" ref-type="bibr">4</xref>
. Perturbation of ER homeostasis, usually leading to ER stress, provokes UPR to cope with the resultant stress
<xref rid="B5" ref-type="bibr">5</xref>
. PERK, IRE1α and ATF6α, the major sensors of ER stress and markers of UPR, can promote the transcription of related genes responsible for maintaining ER homeostasis, but under certain conditions may prolong ER stress and eventually morph into pro-apoptotic pathways
<xref rid="B5" ref-type="bibr">5</xref>
-
<xref rid="B7" ref-type="bibr">7</xref>
. Several reports have shown that the induction of apoptosis by ER stress is responsible for cancer cell death in various cancers, suggesting that UPR activation can be potentially tumor-suppressive, especially when ER stress is intensive and persistent
<xref rid="B1" ref-type="bibr">1</xref>
,
<xref rid="B8" ref-type="bibr">8</xref>
.</p>
<p>Macroautophagy is responsible for the degradation and recycling of macromolecules and organelles to maintain cellular homeostasis and can be activated in stress conditions, including ER stress
<xref rid="B3" ref-type="bibr">3</xref>
,
<xref rid="B9" ref-type="bibr">9</xref>
,
<xref rid="B10" ref-type="bibr">10</xref>
. It has been well established that autophagosomes can recognize specific substrates including organelles
<xref rid="B11" ref-type="bibr">11</xref>
. ER-phagy, a type of cargo-specific autophagy degrading ER, has commonly been recognized as a form of basal quality control mechanism to counterbalance ER expansion during UPR
<xref rid="B11" ref-type="bibr">11</xref>
,
<xref rid="B12" ref-type="bibr">12</xref>
. The selective autophagy is mediated by autophagy receptors that recruit the designated targets to autophagosomal membranes by binding to LC3/GABARAP
<xref rid="B13" ref-type="bibr">13</xref>
,
<xref rid="B14" ref-type="bibr">14</xref>
. Family with sequence similarity 134 member B (FAM134B) protein, one of the ER-resident receptors, binds to LC3/GABARAP via its LC3-interacting region (LIR), and facilitates ER degradation by ER-phagy
<xref rid="B15" ref-type="bibr">15</xref>
. Growing evidence has indicated that ER-phagy is a clearance outcome of ER stress in certain conditions
<xref rid="B9" ref-type="bibr">9</xref>
,
<xref rid="B16" ref-type="bibr">16</xref>
. However, whether ER-phagy is involved in autophagy-mediated therapeutic response to anti-cancer drugs is not clear.</p>
<p>Repurposing existing drugs offers a cost-effective and time-saving approach for drug discovery in cancer therapy. Drug repurposing is based on two concepts: on-target repurposing (finding new therapeutic indications based on relevant mechanisms) and off-target repurposing (identifying new targets for known compounds)
<xref rid="B17" ref-type="bibr">17</xref>
. Brigatinib received its first global approval in 2017 due to the robust efficacy in patients with anaplastic lymphoma kinase (ALK)-positive non-small-cell lung cancer (NSCLC)
<xref rid="B18" ref-type="bibr">18</xref>
,
<xref rid="B19" ref-type="bibr">19</xref>
. The growth inhibition effect of brigatinib was also evident in other ALK-positive tumors, such as neuroblastoma and anaplastic large cell lymphoma
<xref rid="B20" ref-type="bibr">20</xref>
,
<xref rid="B21" ref-type="bibr">21</xref>
. However, few studies regarding the off-target effect of brigatinib in tumor therapy have been reported.</p>
<p>In this study, we found an ALK-independent anti-cancer mechanism of brigatinib in colorectal cancer (CRC). Brigatinib stimulates ER stress by USP5-mediated ORP8 stabilization to promote apoptotic cell death of CRC cells both
<italic>in vitro</italic>
and
<italic>in vivo</italic>
. Meanwhile, ER-phagy is stimulated to relieve ER stress in brigatinib-treated CRC cells. Collectively, our results provide novel insights into the molecular basis for the anti-cancer effect of brigatinib and demonstrate the potential of brigatinib for the treatment of ALK-negative cancer.</p>
</sec>
<sec sec-type="methods">
<title>Materials and Methods</title>
<sec>
<title>Cell culture</title>
<p>Cell culture was performed at 37°C in a humidified atmosphere containing 5% CO
<sub>2</sub>
. Human CRC cell lines (DLD-1, HCT116, HT29, RKO and SW620), human colon mucosal epithelial cell line NCM460, human NSCLC cell line A549, human HCC cell line Hep3B and human prostate cancer cell line Du145 were purchased from ATCC (Manassas, VA, USA). NSCLC cell lines H3122 and H2228 were kindly provided by Prof. Yong Peng (State Key Laboratory of Biotherapy, Sichuan University). Du145, H3122 and H2228 cell lines were cultured in RPMI Medium 1640, other cell lines were cultured in high glucose Dulbecco's Modified Eagle Medium (DMEM, Gibco) and were supplemented with 10% FBS (Biowest), 100 U/mL penicillin, 100 U/mL streptomycin (Hyclone).</p>
</sec>
<sec>
<title>Antibodies and reagents</title>
<p>All commercial antibodies used in this study were obtained from the following suppliers: BiP (sc-376768), CHOP (sc-56107), PERK (sc-377400), p-PERK (sc-32577), IRE1α (sc-390960), ORP8 (sc-134409), USP5 (sc-390943), JNK (sc-7345), p-JNK (sc-81502), horseradish peroxidase-conjugated anti-rabbit secondary antibody (sc-2004) and horseradish peroxidase-conjugated anti-mouse secondary antibody (sc-2005) were obtained from Santa Cruz Biotechnology; p-IRE1α (ab48187) and HA (ab9110) were obtained from Abcam; LC3 (NB100-2220) was obtained from Novus; FAM134B (PA5-64943), goat anti-mouse Alexa Fluor 488 (A28175), goat anti-rabbit Alexa Fluor 488 (A27034), goat anti-mouse Alexa Fluor 594 (A21044) and goat anti-rabbit Alexa Fluor 594 (A32740) were obtained from Invitrogen. PARP (9532), Cleaved PARP (5625), Caspase-3 (9662), Cleaved caspase-3 (9664), ATG5 (12994S), ATG7 (8558S), Beclin1 (3738), ATG14 (96752) and Bcl-2 (15071) were obtained from Cell Signaling Technology.</p>
<p>The following commercial chemical reagents were obtained from the following suppliers: brigatinib (HY-12857), Z-VAD(OMe)-FMK (HY-16658), 3-Methyladenine (HY-19312), bafilomycin A1 (HY-100558), 5-FU (HY-90006) and Cycloheximide (HY-12320) were obtained from MedChemExpress; 4-PBA (1716-12-7) and chloroquine diphosphate salt (C6628) were obtained from MilliporeSigma. All chemicals were handled in accordance with the supplier's recommendations.</p>
</sec>
<sec>
<title>Detection of cell growth</title>
<p>The growth of brigatinib-treated cells was determined using the MTT assay. Cells were plated in 96-well plates at 5,000 cells per well and subjected to different treatments. The detailed procedure has been previously described
<xref rid="B22" ref-type="bibr">22</xref>
. For the colony formation assay, cells were cultured in 24-well plates with different treatments. The colonies were counterstained with Giemsa after 2 weeks, then washed 3 times by PBS. The visible colonies were recorded using a Molecular Imager Gel Do XR+ System (BIO-RAD) and counted using Image J software (NIH). EdU Cell Proliferation Assay Kit (Ribobio, Guangzhou, China) was used to perform the 5-ethynyl-20-deoxyuridine (EdU) labeling assay. The detailed procedure has been previously described
<xref rid="B23" ref-type="bibr">23</xref>
.</p>
</sec>
<sec>
<title>Lactate dehydrogenase release assay</title>
<p>Lactate dehydrogenase release was used to detect cytotoxicity following different treatments, using a lactate dehydrogenase (LDH) test kit (Beyotime Biotechnology, Nanjing, China). Studies were performed according to the supplier's instruction.</p>
</sec>
<sec>
<title>TUNEL assays</title>
<p>The DeadEndTM Fluorometric TUNEL system (Promega) was used to detect apoptotic cells according to the manufacturer's instructions. The apoptotic and non-apoptotic signals were recorded using a fluorescent microscope and the percentage of cells with DNA nick end-labelling evaluated.</p>
</sec>
<sec>
<title>Flow cytometry</title>
<p>The apoptotic ratio was determined with a FITC-Annexin V Apoptosis Detection kit (KeyGEN BioTECH, KGA108). In brief, cells were harvested and washed once with PBS, and then resuspended in PI/Annexin-V solution for apoptosis analysis. The detailed procedures were performed according to the corresponding manufacturer's instructions. At least 10,000 live cells were analyzed on a FACSCalibur flow cytometer (Becton Dickinson). Data were analyzed by using FlowJo software.</p>
</sec>
<sec>
<title>Immunoblotting and immunoprecipitation</title>
<p>Cells were rinsed in precooled PBS and lysed in RIPA lysis buffer (150 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1% NP-40 and protease inhibitors). Equal amounts of soluble proteins (15-30 μg) were used for immunoblotting analysis. For immunoprecipitations, cells were lysed with IP lysis buffer (20 mM Tris,137 mM NaCl, 10% glycerol, 1% NP-40 and 2 mM MEDTA, pH=7.5). The whole-cell lysates were subjected to immunoprecipitation overnight at 4°C with 1 μg of the indicated antibodies, and the immunoprecipitated protein was pulled down with Protein A agarose beads (40 μl; GE Healthcare, Chicago, IL, USA) for 4 h. Proteins were visualized with Immobilon Western HRP Substrate (Millipore, WBKLS0050). The images were obtained using a ChemiScope 6000 Touch (Clinx, Shanghai, China).</p>
</sec>
<sec>
<title>Immunofluorescence</title>
<p>Cells were cultured on glass coverslips overnight and treated with different agents in 24-well plates (5×10
<sup>3</sup>
cells/well). After being fixed with 4% paraformaldehyde (Sigma) for 30 minutes, cells were permeabilized with 0.4% Triton X-100 followed by blocking with 5% fetal bovine serum after being washed 3 times with PBS. The treated cells were then incubated with the indicated primary antibodies and Alexa Flour secondary antibodies. Lastly, cells were visualized using a Zeiss LSM 510 confocal microscope. For ER labelling, live cells were previously stained with 100 nM ER-Tracker Blue for 30 minutes at 37℃.</p>
</sec>
<sec>
<title>Immunohistochemistry</title>
<p>Immunohistochemical analysis was performed as previously described
<xref rid="B22" ref-type="bibr">22</xref>
. All samples were visualized under a Leica DM 2000 microscope. Quantitative scoring analysis was performed by multiplying the percentage of staining-positive cells area (A) by the immunostaining intensity (B: 0, negative; 1, weakly positive; 2, positive; 3, strongly positive). The final score for each slide was calculated as A×B.</p>
</sec>
<sec>
<title>siRNA transfection</title>
<p>All siRNAs were synthesized by GenePharma (Shanghai, China) and were transfected with Lipofectamine 3000 reagent (Thermo Fisher Scientific) for 48 h according to the manufacturer's protocol. The sequences of siRNA involved in this study were as follows: si
<italic>ORP8</italic>
: 5'-GAGUGGUCUUGCAAAUUAU-3', si
<italic>ATG5</italic>
: 5'-GCAACUCUGGAUGGGAUUG-3', si
<italic>BECN1</italic>
: 5'-CAGUUUGGCACAAUCAAUATT-3', si
<italic>ATG7</italic>
: 5'-CAGUGGAUCUAAAUCUCAAACUGAU-3', si
<italic>IRE1α</italic>
: 5'-GGACGUGAGCGACAGAAUA-3', si
<italic>PERK</italic>
: 5'-CAACAAGAAUAUCCGCAAA-3', si
<italic>FAM134B</italic>
: 5'-GAGGUAUCCUGGACUGAUA-3'.</p>
</sec>
<sec>
<title>Plasmids</title>
<p>The human FAM134B coding region with C-terminal HA tag was cloned using PCR and was ligated into the pcDNA3.1(+) vector. The origin PCR primers for wild type FAM134B sequence were as follows: Sense primer: 5'-CCCGGATCCATGGCGAGCCCG-3'; Anti-sense primer: 5'-CCGCTCGAGTTAATGGCCTCCCAG-3'. The PCR primers for LIR-motif mutant type FAM134B sequence were as follows: Sense primer: 5'-ACTGAAGAAGGTGCTGCCGCTGCAGCAGCTGACCAGTCAGAG-3'; Anti-sense primer: 5'-GCTGCTGCAGCGGCAGCACCTTCTTCAGTGTCTGTGTCCTC-3'.</p>
</sec>
<sec>
<title>Tumor xenograft model</title>
<p>Female nude mice (BALB/c, non-fertile, and 18-20 g each) at 6 weeks of age were purchased from HFK Bioscience (Beijing, China). For the subcutaneous xenograft model, DLD-1 cells (1×10
<sup>7</sup>
cells/mouse) were suspended in PBS and injected subcutaneously into mice. When the tumor volume reached ~100 mm
<sup>3</sup>
, the mice were randomized into vehicle and treatment groups. The mice were treated once daily by oral gavage (control, 75% physiologic saline, 25% Medicinal alcohol; brigatinib, 75 mg/kg/day; CQ, 25 mg/kg/day; brigatinib + CQ, brigatinib 75 mg/kg/day + CQ 25 mg/kg/day). Tumor volumes were measured each day and evaluated according to the following formula: tumor volume (mm
<sup>3</sup>
) = (length×width
<sup>2</sup>
)/2. When significant differences between each group were obtained, the mice were euthanized and tumor tissues isolated and fixed immediately in 10% formalin. All animal experiments were approved by the Institutional Animal Care and Treatment Committee of Sichuan University.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>All statistical analysis and graphics were performed using GraphPad 6 software (GraphPad, La Jolla, CA, USA). One-way ANOVA or Student's t test was used to analyze statistical differences. A value of
<italic>P</italic>
< 0.05 was considered as statistically significant. Error bars indicated SEM unless otherwise indicated.</p>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Brigatinib inhibits the growth of CRC cells</title>
<p>To examine whether brigatinib exhibits a growth inhibition effect in ALK-negative cancer cells, ALK-positive NSCLC cell line (H3122 and H2228) and various ALK-negative cancer cells lines (A549, Hep3B, Du145, HCT116) were treated with brigatinib. As shown in Figure
<xref ref-type="supplementary-material" rid="SM0">S1</xref>
A, brigatinib treatment significantly reduced the growth of H3122 and H2228 cells in a dose-dependent manner. Interestingly, brigatinib also showed obvious anti-neoplastic activity in several ALK-negative cancer cell lines (Figure
<xref ref-type="supplementary-material" rid="SM0">S1</xref>
B), suggesting the presence of an ALK-independent anti-cancer mechanism for brigatinib.</p>
<p>To ascertain the anti-cancer effect of brigatinib against CRC cell lines, cell growth was assessed following brigatinib treatment in a variety of CRC cell lines (DLD-1, HCT116, HT29, RKO, SW620) and a human colon mucosal epithelial cell line, NCM460. As expected, all tested CRC cells were sensitive to brigatinib at 2 μM for 24 hours, whereas NCM460 cells demonstrated higher tolerance to brigatinib (Figure
<xref ref-type="fig" rid="F1">1</xref>
A). Moreover, LDH release assay revealed that brigatinib treatment exhibited marked cytotoxicity in CRC cells (Figure
<xref ref-type="fig" rid="F1">1</xref>
B). Consistently, the proliferation of CRC cells was significantly inhibited under brigatinib treatment, as evidenced by reduced colony formation (Figure
<xref ref-type="fig" rid="F1">1</xref>
C) and EdU incorporation (Figure
<xref ref-type="fig" rid="F1">1</xref>
D) in brigatinib-treated CRC cells. Together, these results indicate that brigatinib demonstrates a considerable anti-cancer effect in CRC cells
<italic>in vitro</italic>
.</p>
<p>To examine whether apoptosis was associated with the anti-cancer effect of brigatinib, we evaluated the apoptotic ratio using both TUNEL and flow cytometry assays. As shown as Figure
<xref ref-type="fig" rid="F1">1</xref>
E-G, brigatinib treatment for 24 hours showed an obvious effect on apoptosis induction in CRC cells. Increased cleaved-caspase 3 and cleaved-PARP were also observed in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F1">1</xref>
H). Of note, treatment with apoptosis inhibitor zVAD-FMk (zVAD) inhibited brigatinib-induced cytotoxicity in CRC cells (Figure
<xref ref-type="supplementary-material" rid="SM0">S2</xref>
). Taken together, our data demonstrate that brigatinib inhibits CRC growth by inducing apoptosis.</p>
</sec>
<sec>
<title>Brigatinib induces apoptosis by activating ER stress in CRC cells</title>
<p>Growing evidence has indicated that ER stress is closely linked to apoptosis induction
<xref rid="B2" ref-type="bibr">2</xref>
,
<xref rid="B8" ref-type="bibr">8</xref>
,
<xref rid="B24" ref-type="bibr">24</xref>
. To ascertain whether ER stress was activated by brigatinib in CRC cells, we examined the levels of classic ER stress markers, including PERK, p-PERK, IRE1α, p-IRE1α and CHOP. We observed increased levels of these ER stress markers upon brigatinib treatment (Figure
<xref ref-type="fig" rid="F2">2</xref>
A), indicating activation of ER stress. Meanwhile, we found that brigatinib treatment significantly reduced the interaction of BiP with PERK or IRE1α (Figure
<xref ref-type="fig" rid="F2">2</xref>
B), further supporting the stimulation of ER stress in CRC cells. To evaluate whether brigatinib-induced ER stress led to apoptosis induction, CRC cells were treated with brigatinib combined with an ER stress inhibitor, 4-phenylbutyrate (4-PBA). As shown in Figure
<xref ref-type="fig" rid="F2">2</xref>
C, 4-PBA markedly decreased brigatinib-induced overexpression of the tested ER stress markers. An increase in cell proliferation was also observed in brigatinib-treated CRC cells in combination with 4-PBA (Figure
<xref ref-type="fig" rid="F2">2</xref>
D-E). In addition, LDH release also revealed that 4-PBA counteracted brigatinib-induced cytotoxicity (Figure
<xref ref-type="fig" rid="F2">2</xref>
F). Consistently, the ratio of apoptotic cells was also reduced by combinatorial treatment of 4-PBA with brigatinib (Figure
<xref ref-type="fig" rid="F2">2</xref>
G). Taken together, these results indicate that ER stress contributes to brigatinib-induced apoptosis in CRC cells.</p>
<p>Interestingly, brigatinib treatment promoted classic ER signaling protein markers (including PERK, p-PERK, IRE1α, p-IRE1α and CHOP) in ALK-negative cancer cell lines (A549, Hep3B and Du145) (Figure
<xref ref-type="supplementary-material" rid="SM0">S3</xref>
A), but not in ALK-positive cancer cells (H3122 and H2228) (Figure
<xref ref-type="supplementary-material" rid="SM0">S3</xref>
B). In line with this, 4-PBA restored brigatinib-stimulated ER stress in ALK-negative cancer cell lines (A549, Hep3B and Du145). In addition, zVAD partially rescued brigatinib-induced growth suppression in both ALK-negative (A549, Hep3B and Du145) and ALK-positive (H3122 and H2228) cancer cell lines, whereas 4-PBA compromised brigatinib-induced growth inhibition in ALK-negative cancer cells with no obvious change in ALK-positive cancer cells (Figure
<xref ref-type="supplementary-material" rid="SM0">S3</xref>
C). These results demonstrate that brigatinib inhibits cell growth, at least in part, by ER stress-induced apoptosis in ALK-negative cancer cells.</p>
</sec>
<sec>
<title>USP5-mediated ORP8 accumulation contributes to brigatinib-induced ER stress in CRC cells</title>
<p>Next, we set out to investigate the mechanism underlying brigatinib-induced ER stress. Phospholipids, the main component of biological membranes, play a crucial role in the functional and structural aspects of ER
<xref rid="B25" ref-type="bibr">25</xref>
,
<xref rid="B26" ref-type="bibr">26</xref>
. We hypothesized that disordered processing of phospholipids transportation was a potential inducer for ER stress. Oxysterol-binding protein (OSBP)-related protein 5/8 (ORP5/8) were the only two lipid transfer proteins anchored to ER membranes
<xref rid="B27" ref-type="bibr">27</xref>
,
<xref rid="B28" ref-type="bibr">28</xref>
and ORP8 expression was closely related to tumor cell apoptosis
<xref rid="B29" ref-type="bibr">29</xref>
-
<xref rid="B31" ref-type="bibr">31</xref>
.</p>
<p>To ascertain our hypothesis, we examined ORP8 expression following brigatinib treatment and found increased ORP8 expression in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F3">3</xref>
A). Brigatinib-induced ORP8 up-regulation was further confirmed by immunofluorescence (Figure
<xref ref-type="fig" rid="F3">3</xref>
B). Meanwhile, 4-PBA had no obvious effect on ORP8 expression in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F3">3</xref>
C). However, knockdown of ORP8 by si
<italic>ORP8</italic>
significantly countered brigatinib-induced up-regulation of ER stress markers and activation of caspase (Figure
<xref ref-type="fig" rid="F3">3</xref>
D and Figure
<xref ref-type="supplementary-material" rid="SM0">S4</xref>
). These data suggest that ER stress is a downstream molecular event of brigatinib-induced ORP8 expression in CRC cells.</p>
<p>We next asked whether the overexpression of ORP8 in brigatinib-treated CRC cells was due to reduced proteasomal degradation. As expected, cycloheximide (CHX, a protein synthesis inhibitor) time-course analysis showed that brigatinib reduced the rate of ORP8 degradation (Figure
<xref ref-type="fig" rid="F3">3</xref>
E-F). We then investigated several deubiquitylases, and found an increase in the interaction between USP5 and ORP8 under brigatinib treatment, along with decreased ORP8 ubiquitination (Figure
<xref ref-type="fig" rid="F3">3</xref>
G). We next examined the role of ORP8 in brigatinib-induced growth suppression in CRC cells. As shown in Figure
<xref ref-type="fig" rid="F3">3</xref>
H-I, siRNA mediated
<italic>ORP8</italic>
knockdown could significantly decrease growth suppression in brigatinib-treated CRC cells, suggesting that ORP8 contributes to brigatinib-induced cytotoxicity. Taken together, these data suggest that increased interaction between USP5 and ORP8 facilitates the accumulation of ORP8 via USP5-mediated deubiquitination, leading to aggravation of ER stress in brigatinib-treated CRC cells.</p>
</sec>
<sec>
<title>Brigatinib induces autophagy via ER stress in CRC cells</title>
<p>Autophagy is an evolutionarily conserved mechanism for maintaining cellular homeostasis
<xref rid="B3" ref-type="bibr">3</xref>
,
<xref rid="B32" ref-type="bibr">32</xref>
. Growing evidence indicates that activation of UPR induced by ER stress promotes autophagy to coordinate ER homeostasis
<xref rid="B33" ref-type="bibr">33</xref>
-
<xref rid="B35" ref-type="bibr">35</xref>
. To clarify whether brigatinib induced autophagy in CRC cells, we investigated the conversion of LC3B-I to lipidated LC3B-II (an established autophagosome marker) and the levels of autophagy-related proteins (Atg5, Atg7, Beclin 1). As shown in Figure
<xref ref-type="fig" rid="F4">4</xref>
A, brigatinib treatment resulted in marked autophagy induction, as evidenced by increased LC3B-II conversion and levels of Atg5, Atg7 and Beclin 1 in a dose dependent manner. Brigatinib treatment also increased the interaction of Beclin 1 with Atg14L and decreased the binding of Beclin 1 with Bcl-2 (Figure
<xref ref-type="fig" rid="F4">4</xref>
B). In addition, the formation of endogenous LC3B and GFP-LC3 puncta was dramatically increased in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F4">4</xref>
C-D and Figure
<xref ref-type="supplementary-material" rid="SM0">S5</xref>
A-B). siRNA-mediated
<italic>ATG5</italic>
,
<italic>ATG7</italic>
or
<italic>BECN1</italic>
silencing prominently decreased LC3B lipidation in brigatinib-treated cells (Figure
<xref ref-type="fig" rid="F4">4</xref>
E-G). Thus, these data suggest that brigatinib promotes the initiation process of autophagy in CRC cells.</p>
<p>We next evaluated whether brigatinib promoted the autophagy flux in CRC cells. Combinatorial treatment of brigatinib with autolysosome inhibitor (Chloroquine, CQ) resulted in a further increase in LC3B lipidation (Figure
<xref ref-type="fig" rid="F4">4</xref>
H). Moreover, we observed that brigatinib treatment induced obvious colocalization of LC3 with LAMP2 (lysosome marker) (Figure
<xref ref-type="fig" rid="F4">4</xref>
I-J), suggesting the fusion of the autophagosome with lysosome. Additionally, using a tandem mRFP-GFP tagged LC3 construct, we found that brigatinib-treated CRC cells displayed more autolysosomes (GFP
<sup>-</sup>
RFP
<sup>+</sup>
signal) than autophagosomes (GFP
<sup>+</sup>
RFP
<sup>+</sup>
signal) (Figure
<xref ref-type="supplementary-material" rid="SM0">S5</xref>
C-D). Taken together, these findings reveal that brigatinib induces autophagic flux in CRC cells.</p>
<p>In order to investigate whether autophagy induction was an adaptive process in response to ER stress, we examined the expression in CRC cells of autophagy-related proteins under brigatinib treatment alone, or si
<italic>ORP8</italic>
or combined with 4-PBA. As shown in Figure
<xref ref-type="fig" rid="F4">4</xref>
K-L, si
<italic>ORP8</italic>
or 4-PBA obviously prevented brigatinib-induced up-regulation of autophagy-related proteins. In contrast, an early autophagy inhibitor (3-Methyladenine, 3-MA) had no obvious effect on the expression of classic ER signaling protein markers in brigatinib-treated cells (Figure
<xref ref-type="supplementary-material" rid="SM0">S5</xref>
E). These data indicate that brigatinib-induced ER stress is an upstream event of autophagy. To further investigate which pathway was involved in ER stress-induced autophagy, we prioritized the IRE1α/JNK signaling, a major pathway accounting for ER stress-mediated autophagy
<xref rid="B36" ref-type="bibr">36</xref>
-
<xref rid="B38" ref-type="bibr">38</xref>
. As expected, brigatinib indeed activated the IRE1α/JNK signaling pathway in CRC cells (Figure
<xref ref-type="supplementary-material" rid="SM0">S6</xref>
A-C). In addition,
<italic>IRE1α</italic>
knockdown (Figure
<xref ref-type="fig" rid="F4">4</xref>
M) showed effective inhibition of LC3B-II accumulation. In contrast,
<italic>PERK</italic>
knockdown showed no obvious inhibition of LC3B turnover (Figure
<xref ref-type="supplementary-material" rid="SM0">S6</xref>
E). Collectively, this demonstrates that brigatinib induces autophagy via IRE1α/JNK signaling pathway in response to ER stress.</p>
</sec>
<sec>
<title>Brigatinib induces ER-phagy in CRC cells</title>
<p>ER-phagy, a form of ER stress-mediated selective autophagy, modulates in ER quality control by removing dysfunctional ER
<xref rid="B12" ref-type="bibr">12</xref>
,
<xref rid="B39" ref-type="bibr">39</xref>
. The induction of ER-phagy requires the activation of UPR and the core autophagy machinery
<xref rid="B9" ref-type="bibr">9</xref>
,
<xref rid="B40" ref-type="bibr">40</xref>
. FAM134B is a common ER-anchored receptor for selective delivery of ER into autophagosomes in mammals
<xref rid="B15" ref-type="bibr">15</xref>
,
<xref rid="B41" ref-type="bibr">41</xref>
. As shown in Figure
<xref ref-type="fig" rid="F5">5</xref>
A, we observed increased expression of FAM134B after brigatinib treatment, implying that brigatinib might induce FAM134B-mediated ER-phagy. To confirm this observation, CRC cells were treated with brigatinib combined with 4-PBA (Figure
<xref ref-type="fig" rid="F5">5</xref>
B). As expected, inhibition of ER stress by 4-PBA reduced brigatinib-mediated up-regulation of FAM134B. Moreover, we found
<italic>FAM134B</italic>
knockdown decreased the expression of autophagy-related proteins in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F5">5</xref>
C). The interaction between FAM134B and LC3B is a hallmark of ER-phagy
<xref rid="B15" ref-type="bibr">15</xref>
. Using coimmunoprecipitation assay, we found increased interaction between FAM134B and LC3B following brigatinib treatment (Figure
<xref ref-type="fig" rid="F5">5</xref>
D-E). Next, we analyzed the colocalization of HA-tagged FAM134B with LC3B and found obvious colocalization in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F5">5</xref>
F-H). It has been reported that specific autophagy receptors can directly interact with LC3B through LC3-interacting region (LIR) domains and FAM134B contains a conserved putative LIR motif
<xref rid="B15" ref-type="bibr">15</xref>
,
<xref rid="B41" ref-type="bibr">41</xref>
. Therefore, we constructed a LIR-motif-mutant FAM134B (DDFELL/AAAAAA; mutLIR) to further confirm the interaction between FAM134B and LC3B. As shown in Figure
<xref ref-type="fig" rid="F5">5</xref>
E-H, FAM134B
<sup>mutLIR</sup>
rarely interacted with LC3B in brigatinib-treated CRC cells. The induction of ER-phagy was further validated by the colocalization between GFP-LC3 and ER-Tracker in response to brigatinib treatment in CRC cells (Figure
<xref ref-type="fig" rid="F5">5</xref>
I-J). Collectively, these results demonstrate that brigatinib induces ER-phagy, a selective form of autophagy for dysfunctional ER clearance.</p>
</sec>
<sec>
<title>Inhibition of ER-phagy enhances the susceptibility of CRC cells to brigatinib
<italic>in vitro</italic>
and
<italic>in vivo</italic>
</title>
<p>To investigate whether autophagy/ER-phagy was involved in the anti-CRC effect of brigatinib, CRC cells were treated with brigatinib combined with autophagy inhibitors, including CQ, 3-MA or Bafilomycin A1. As shown in Figure
<xref ref-type="fig" rid="F6">6</xref>
A and Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
A, CQ, 3-MA or Bafilomycin A1 led to remissive cell viability. In addition, a decrease in clonogenic survival (Figure
<xref ref-type="fig" rid="F6">6</xref>
C and Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
D) and an increase in cell toxicity (Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
B) were also observed following CQ or 3-MA treatment in brigatinib-treated CRC cells. Consistently, knockdown of
<italic>ATG5</italic>
,
<italic>ATG7</italic>
or
<italic>BECN1</italic>
compromised brigatinib-induced growth inhibition (Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
C and Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
E-G). These results suggest that autophagy/ER-phagy plays a protective role in brigatinib-induced growth inhibition of CRC cells. Furthermore, siRNA-mediated silencing of
<italic>FAM134B</italic>
resulted in a decrease in both cell viability and colony formation in brigatinib-treated CRC cells (Figure
<xref ref-type="fig" rid="F6">6</xref>
B and Figure
<xref ref-type="fig" rid="F6">6</xref>
D). Inhibition of autophagy/ER-phagy induced more severe apoptosis in brigatinib-treated CRC cells (Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
H). Together, these data suggest that autophagy/ER-phagy plays a protective role in brigatinib-treated CRC cells and inhibition of autophagy/ER-phagy results in sensitization of CRC cells to brigatinib
<italic>in vitro</italic>
.</p>
<p>To further explore the anti-cancer effects of brigatinib
<italic>in vivo</italic>
, a mouse xenograft model was generated by subcutaneously inoculating human CRC DLD-1 cells into nude mice. Brigatinib treatment alone demonstrated a marked reduction in the size, growth rate and weight of xenograft tumors compared with the vehicle group (Figure
<xref ref-type="fig" rid="F6">6</xref>
E-G). Notably, the combinatorial treatment of brigatinib with CQ showed a further decline in xenograft tumor size, growth rate and weight compared with that of brigatinib treatment alone (Figure
<xref ref-type="fig" rid="F6">6</xref>
E-G). Furthermore, xenograft tumors from brigatinib-treated mice showed weaker Ki67 staining in comparison with the vehicle group, and combinatorial treatment of brigatinib with CQ displayed a further reduction of Ki67 staining (Figure
<xref ref-type="fig" rid="F6">6</xref>
H-I). In addition, obvious apoptosis induction was observed in tumors from brigatinib-treated mice as evidenced by increased cleaved-caspase 3 levels, while combinatorial treatment displayed more robust cleaved-caspase 3 staining (Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
I-J). We also observed increased expression of ORP8 and LC3B by immunohistochemical staining (Figure
<xref ref-type="supplementary-material" rid="SM0">S7</xref>
K-N). Moreover, H&E staining of major organs showed no obvious toxic effects in the brigatinib, CQ or combinatorial treatment groups (Figure
<xref ref-type="supplementary-material" rid="SM0">S8</xref>
). These results indicate that CQ improves the anti-cancer effect of brigatinib by inhibiting autophagy/ER-phagy in CRC cells
<italic>in vivo</italic>
.</p>
<p>We further investigated whether brigatinib could show synergistic effects with 5-fluorouracil (5-FU), the first-line chemotherapeutic drug for CRC treatment, by performing the Chou-Talalay method. The combination index (CI) was calculated to evaluate the synergism (CI < 1) or antagonism (CI > 1) for each drug combination. Our results showed that 1 μM brigatinib combined with 25 μM 5-FU exhibited remunerative anti-cancer effect in CRC cells as evidenced by reduced cell growth and colony formation. In addition, the CI value of brigatinib combined with 5-FU treatment also showed the sufficient synergy (CI = 0.499 in DLD-1 cells; CI = 0.880 in HCT116 cells) (Figure
<xref ref-type="supplementary-material" rid="SM0">S9</xref>
A-C). Taken together, these results demonstrate that brigatinib can effectively sensitize CRC cells to 5-FU treatment.</p>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Brigatinib is an ALK inhibitor used to treat ALK-positive NSCLC. In this study, we demonstrate its anti-cancer effect and the underlying mechanisms in CRC which is ALK-negative. We show that brigatinib triggers apoptosis in CRC via the induction of ORP8/USP5-mediated ER stress. In addition, we show that brigatinib activates ER stress-induced UPR to provoke both apoptosis and protective autophagy/ER-phagy (Figure
<xref ref-type="fig" rid="F7">7</xref>
). Combinatorial treatment with brigatinib and autophagy inhibitors potentiates the anti-cancer effect of brigatinib in CRC cells. To our knowledge, our findings describe a previously unreported ALK-independent mechanism of brigatinib in killing CRC which provides the potential alternative strategies for CRC therapy.</p>
<p>Drug repurposing, which has been proposed as a strategy for developing new therapies, offers a cost-effective and time-saving approach for developing promising drug for cancer therapies
<xref rid="B42" ref-type="bibr">42</xref>
. Brigatinib is an ALK tyrosine kinase inhibitor (TKI) that was approved for the treatment of ALK-positive metastatic NSCLC in 2017
<xref rid="B18" ref-type="bibr">18</xref>
,
<xref rid="B19" ref-type="bibr">19</xref>
. The anti-cancer effect reported here is clearly independent of ALK, but through induction of ER stress-mediated apoptosis. Interestingly, brigatinib fails to induce ER stress in ALK-positive H3122 and H2228 cells. Our data thus underscore a novel tumor-suppressing mechanism of brigatinib. Increasing evidence supports the concept of drug repurposing for the discovery of new indications for existing drugs. For instance, metformin, which was originally used to treat diabetes in an insulin-dependent manner, showed anti-cancer effect in different cancers via an insulin-independent mechanism
<xref rid="B43" ref-type="bibr">43</xref>
,
<xref rid="B44" ref-type="bibr">44</xref>
. Crizotinib showed marked anti-cancer activity in ROS1-rearranged NSCLC, but it was also reported to suppress pancreatic cancer by inhibition of MET receptor tyrosine kinase
<xref rid="B45" ref-type="bibr">45</xref>
,
<xref rid="B46" ref-type="bibr">46</xref>
. These previous reports support our findings that brigatinib is a suitable candidate for drug repurposing and may potentially benefit a broad of cancer types.</p>
<p>ER-phagy, a selective autophagy process targeting the ER, requires the activation of UPR and the core autophagy machinery
<xref rid="B9" ref-type="bibr">9</xref>
,
<xref rid="B40" ref-type="bibr">40</xref>
. Generally, ER-phagy is a protective mechanism to maintain ER homeostasis by which excessive protein and lipid demands are fulfilled and pharmacological insults are relieved
<xref rid="B11" ref-type="bibr">11</xref>
,
<xref rid="B12" ref-type="bibr">12</xref>
. Intriguingly, we detected induction of ER-phagy following brigatinib-mediated ER stress. However, ER-phagy was shown to mitigate the anti-CRC activity of brigatinib. It has been reported that an unexpected pro-survival mechanism is frequently observed in ER stress-based cancer treatment. For example, flavokawain B (FKB) could be exploited as a promising anti-cancer drug candidate due to induction of ER stress, whereas provoking autophagy in FKB-treated glioblastoma (GBM) cells antagonizes ER stress-induced apoptosis
<xref rid="B47" ref-type="bibr">47</xref>
. In addition, induction of protective autophagy has been shown to relieve ER stress in apatinib-treated CRC cells
<xref rid="B48" ref-type="bibr">48</xref>
. These studies suggest that the blockage of pro-survival pathways emanating from the UPR potentiates ER stress-mediated cell death induced by therapeutic agents. Consistently, our study showed that combination with CQ (an autophagy inhibitor) improved the anti-CRC efficacy of brigatinib both
<italic>in vitro</italic>
and
<italic> in vivo</italic>
. This combinatorial treatment showed a comparable growth inhibition efficacy to that in ALK-positive NSCLC cells. In addition, blockage of ER-phagy by FAM134B knockdown also aggravated cell death induced by brigatinib treatment, suggesting that combinatorial treatment of brigatinib with ER-phagy inhibitor might benefit ALK-negative cancer patients. Moreover, targeting ER-phagy is more specific than targeting autophagy, which implicates notable advantage through avoiding potential side effects induced by autophagy inhibition.</p>
<p>Our study uncovered a novel mechanism of the USP5/ORP8 axis in the regulation of ER stress induced by brigatinib in CRC cells. USP5, a deubiquitinase, cleaves both linear and branched multi-ubiquitin polymers to influence proteasomal protein degradation
<xref rid="B49" ref-type="bibr">49</xref>
,
<xref rid="B50" ref-type="bibr">50</xref>
. Previous reports implied that USP5 played a crucial role in cancer therapy by regulation of various protein substrates including c-Maf and FoxM1
<xref rid="B51" ref-type="bibr">51</xref>
,
<xref rid="B52" ref-type="bibr">52</xref>
. Therefore, discovery of a new substrate for USP5 may be of great importance for cancer therapy. Our results suggest that ORP8 is a potential substrate of USP5. We showed that enhanced interaction of USP5 with ORP8 facilitated ORP8 accumulation by attenuating ubiquitination degradation, resulting in ORP8-induced ER stress in brigatinib-treated CRC cells. Consistent with our results, ORP8 overexpression was reported to inhibit tumor cell growth by enhancing ER stress-mediated apoptosis
<xref rid="B29" ref-type="bibr">29</xref>
. Our findings regarding the novel link between ORP8 and USP5 help explain brigatinib-induced ORP8 accumulation and consequent ER stress in CRC cells. We then reasonably investigate whether brigatinib directly binds ORP8/USP5. It was worth mentioning that the possible interaction between brigatinib and ORP8/USP5 was preliminarily confirmed using the cellular thermal shift assay (data not shown), implying that ORP8 or USP5 might be a new target of brigatinib in CRC cells. However, the molecular basis underlying these interactions still needs further investigation.</p>
</sec>
<sec sec-type="conclusions">
<title>Conclusions</title>
<p>Taken together, our results indicate that brigatinib could be a promising anti-cancer drug for CRC therapy both
<italic>in vitro</italic>
and
<italic>in vivo</italic>
, and excessive ER stress might be a pivotal molecular event for tumor suppression in brigatinib-treated CRC cells. Interestingly, autophagy/ER-phagy played a protective role in response to ER stress and ameliorated the efficacy of brigatinib, whereas inhibition of autophagy/ER-phagy potentiated its anti-cancer effect. These results provided novel insights into the mechanism underlying brigatinib-induced CRC suppression, implying that brigatinib could act as a potential therapeutic agent in CRC and highlighting the possibility of autophagy/ER-phagy inhibition in optimizing cancer therapeutics.</p>
</sec>
<sec sec-type="supplementary-material" id="SM0">
<title>Supplementary Material</title>
<supplementary-material content-type="local-data" id="SM1">
<caption>
<p>Supplementary figures.</p>
</caption>
<media xlink:href="thnov09p4878s1.pdf">
<caption>
<p>Click here for additional data file.</p>
</caption>
</media>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<p>This work was supported by grants from the Chinese NSFC (nos. 81430071, 81790251, 81821002 and 81672381), and National 973 Basic Research Program of China (no. 2013CB911300).</p>
</ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="GL1">3-MA</term>
<def>
<p>3-methyladenine</p>
</def>
</def-item>
<def-item>
<term id="GL2">5-FU</term>
<def>
<p>5-fluorouracil</p>
</def>
</def-item>
<def-item>
<term id="GL3">ALK</term>
<def>
<p>anaplastic lymphoma kinase</p>
</def>
</def-item>
<def-item>
<term id="GL4">Baf A1</term>
<def>
<p>bafilomycin A1</p>
</def>
</def-item>
<def-item>
<term id="GL5">CQ</term>
<def>
<p>chloroquine</p>
</def>
</def-item>
<def-item>
<term id="GL6">CRC</term>
<def>
<p>colorectal cancer</p>
</def>
</def-item>
<def-item>
<term id="GL7">DMEM</term>
<def>
<p>Dulbecco's Modified Eagle's Medium</p>
</def>
</def-item>
<def-item>
<term id="GL8">DMSO</term>
<def>
<p>dimethyl sulfoxside</p>
</def>
</def-item>
<def-item>
<term id="GL9">EdU</term>
<def>
<p>5-ethynyl-20-deoxyuridine</p>
</def>
</def-item>
<def-item>
<term id="GL10">ER</term>
<def>
<p>endoplasmic reticulum</p>
</def>
</def-item>
<def-item>
<term id="GL11">LDH</term>
<def>
<p>lactate dehydrogenase</p>
</def>
</def-item>
<def-item>
<term id="GL12">MTT</term>
<def>
<p>3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide</p>
</def>
</def-item>
<def-item>
<term id="GL13">TUNEL</term>
<def>
<p>terminal deoxynucleotidyl transferase-mediated nick-end labeling</p>
</def>
</def-item>
<def-item>
<term id="GL14">UPR</term>
<def>
<p>unfolded protein response</p>
</def>
</def-item>
</def-list>
</glossary>
<ref-list>
<ref id="B1">
<label>1</label>
<element-citation publication-type="journal">
<name>
<surname>Cerezo</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Lehraiki</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Millet</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Rouaud</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Plaisant</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Jaune</surname>
<given-names>E</given-names>
</name>
<etal></etal>
<article-title>Compounds Triggering ER Stress Exert Anti-Melanoma Effects and Overcome BRAF Inhibitor Resistance</article-title>
<source>Cancer Cell</source>
<year>2016</year>
<volume>29</volume>
<fpage>805</fpage>
<lpage>19</lpage>
<pub-id pub-id-type="pmid">27238082</pub-id>
</element-citation>
</ref>
<ref id="B2">
<label>2</label>
<element-citation publication-type="journal">
<name>
<surname>Niessner</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Sinnberg</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Kosnopfel</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Smalley</surname>
<given-names>KSM</given-names>
</name>
<name>
<surname>Beck</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Praetorius</surname>
<given-names>C</given-names>
</name>
<etal></etal>
<article-title>BRAF Inhibitors Amplify the Proapoptotic Activity of MEK Inhibitors by Inducing ER Stress in NRAS-Mutant Melanoma</article-title>
<source>Clin Cancer Res</source>
<year>2017</year>
<volume>23</volume>
<fpage>6203</fpage>
<lpage>14</lpage>
<pub-id pub-id-type="pmid">28724666</pub-id>
</element-citation>
</ref>
<ref id="B3">
<label>3</label>
<element-citation publication-type="book">
<name>
<surname>Zhang</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Lei</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>C</given-names>
</name>
<source>Redox signaling and unfolded protein response coordinate cell fate decisions under ER stress</source>
<publisher-name>Redox Biol</publisher-name>
<year>2018</year>
</element-citation>
</ref>
<ref id="B4">
<label>4</label>
<element-citation publication-type="journal">
<name>
<surname>Jacquemyn</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Cascalho</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Goodchild</surname>
<given-names>RE</given-names>
</name>
<article-title>The ins and outs of endoplasmic reticulum-controlled lipid biosynthesis</article-title>
<source>EMBO Rep</source>
<year>2017</year>
<volume>18</volume>
<fpage>1905</fpage>
<lpage>21</lpage>
<pub-id pub-id-type="pmid">29074503</pub-id>
</element-citation>
</ref>
<ref id="B5">
<label>5</label>
<element-citation publication-type="journal">
<name>
<surname>Rutkowski</surname>
<given-names>DT</given-names>
</name>
<name>
<surname>Kaufman</surname>
<given-names>RJ</given-names>
</name>
<article-title>A trip to the ER: coping with stress</article-title>
<source>Trends Cell Biol</source>
<year>2004</year>
<volume>14</volume>
<fpage>20</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="pmid">14729177</pub-id>
</element-citation>
</ref>
<ref id="B6">
<label>6</label>
<element-citation publication-type="journal">
<name>
<surname>Hetz</surname>
<given-names>C</given-names>
</name>
<article-title>The unfolded protein response: controlling cell fate decisions under ER stress and beyond</article-title>
<source>Nat Rev Mol Cell Biol</source>
<year>2012</year>
<volume>13</volume>
<fpage>89</fpage>
<lpage>102</lpage>
<pub-id pub-id-type="pmid">22251901</pub-id>
</element-citation>
</ref>
<ref id="B7">
<label>7</label>
<element-citation publication-type="journal">
<name>
<surname>Lisbona</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Rojas-Rivera</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Thielen</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Zamorano</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Todd</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Martinon</surname>
<given-names>F</given-names>
</name>
<etal></etal>
<article-title>BAX inhibitor-1 is a negative regulator of the ER stress sensor IRE1alpha</article-title>
<source>Mol Cell</source>
<year>2009</year>
<volume>33</volume>
<fpage>679</fpage>
<lpage>91</lpage>
<pub-id pub-id-type="pmid">19328063</pub-id>
</element-citation>
</ref>
<ref id="B8">
<label>8</label>
<element-citation publication-type="journal">
<name>
<surname>Zheng</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>CW</given-names>
</name>
<etal></etal>
<article-title>Pinocembrin induces ER stress mediated apoptosis and suppresses autophagy in melanoma cells</article-title>
<source>Cancer Lett</source>
<year>2018</year>
<volume>431</volume>
<fpage>31</fpage>
<lpage>42</lpage>
<pub-id pub-id-type="pmid">29807112</pub-id>
</element-citation>
</ref>
<ref id="B9">
<label>9</label>
<element-citation publication-type="journal">
<name>
<surname>Song</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Tan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Miao</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Q</given-names>
</name>
<article-title>Crosstalk of ER stress-mediated autophagy and ER-phagy: Involvement of UPR and the core autophagy machinery</article-title>
<source>J Cell Physiol</source>
<year>2018</year>
<volume>233</volume>
<fpage>3867</fpage>
<lpage>74</lpage>
<pub-id pub-id-type="pmid">28777470</pub-id>
</element-citation>
</ref>
<ref id="B10">
<label>10</label>
<element-citation publication-type="journal">
<name>
<surname>Rouschop</surname>
<given-names>KM</given-names>
</name>
<name>
<surname>van den Beucken</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Dubois</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Niessen</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Bussink</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Savelkouls</surname>
<given-names>K</given-names>
</name>
<etal></etal>
<article-title>The unfolded protein response protects human tumor cells during hypoxia through regulation of the autophagy genes MAP1LC3B and ATG5</article-title>
<source>J Clin Invest</source>
<year>2010</year>
<volume>120</volume>
<fpage>127</fpage>
<lpage>41</lpage>
<pub-id pub-id-type="pmid">20038797</pub-id>
</element-citation>
</ref>
<ref id="B11">
<label>11</label>
<element-citation publication-type="journal">
<name>
<surname>Anding</surname>
<given-names>AL</given-names>
</name>
<name>
<surname>Baehrecke</surname>
<given-names>EH</given-names>
</name>
<article-title>Cleaning House: Selective Autophagy of Organelles</article-title>
<source>Dev Cell</source>
<year>2017</year>
<volume>41</volume>
<fpage>10</fpage>
<lpage>22</lpage>
<pub-id pub-id-type="pmid">28399394</pub-id>
</element-citation>
</ref>
<ref id="B12">
<label>12</label>
<element-citation publication-type="journal">
<name>
<surname>Bernales</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Schuck</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Walter</surname>
<given-names>P</given-names>
</name>
<article-title>ER-phagy: selective autophagy of the endoplasmic reticulum</article-title>
<source>Autophagy</source>
<year>2007</year>
<volume>3</volume>
<fpage>285</fpage>
<lpage>7</lpage>
<pub-id pub-id-type="pmid">17351330</pub-id>
</element-citation>
</ref>
<ref id="B13">
<label>13</label>
<element-citation publication-type="book">
<name>
<surname>Grumati</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Dikic</surname>
<given-names>I</given-names>
</name>
<name>
<surname>Stolz</surname>
<given-names>A</given-names>
</name>
<source>ER-phagy at a glance</source>
<publisher-name>J Cell Sci</publisher-name>
<year>2018</year>
<fpage>131</fpage>
</element-citation>
</ref>
<ref id="B14">
<label>14</label>
<element-citation publication-type="journal">
<name>
<surname>Dikic</surname>
<given-names>I</given-names>
</name>
<article-title>Open questions: why should we care about ER-phagy and ER remodelling?</article-title>
<source>BMC Biol</source>
<year>2018</year>
<volume>16</volume>
<fpage>131</fpage>
<pub-id pub-id-type="pmid">30382915</pub-id>
</element-citation>
</ref>
<ref id="B15">
<label>15</label>
<element-citation publication-type="journal">
<name>
<surname>Khaminets</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Heinrich</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Mari</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Grumati</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Huebner</surname>
<given-names>AK</given-names>
</name>
<name>
<surname>Akutsu</surname>
<given-names>M</given-names>
</name>
<etal></etal>
<article-title>Regulation of endoplasmic reticulum turnover by selective autophagy</article-title>
<source>Nature</source>
<year>2015</year>
<volume>522</volume>
<fpage>354</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="pmid">26040720</pub-id>
</element-citation>
</ref>
<ref id="B16">
<label>16</label>
<element-citation publication-type="journal">
<name>
<surname>Viswanath</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Radoul</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Izquierdo-Garcia</surname>
<given-names>JL</given-names>
</name>
<name>
<surname>Ong</surname>
<given-names>WQ</given-names>
</name>
<name>
<surname>Luchman</surname>
<given-names>HA</given-names>
</name>
<name>
<surname>Cairncross</surname>
<given-names>JG</given-names>
</name>
<etal></etal>
<article-title>2-Hydroxyglutarate-Mediated Autophagy of the Endoplasmic Reticulum Leads to an Unusual Downregulation of Phospholipid Biosynthesis in Mutant IDH1 Gliomas</article-title>
<source>Cancer Res</source>
<year>2018</year>
<volume>78</volume>
<fpage>2290</fpage>
<lpage>304</lpage>
<pub-id pub-id-type="pmid">29358170</pub-id>
</element-citation>
</ref>
<ref id="B17">
<label>17</label>
<element-citation publication-type="journal">
<name>
<surname>Zhang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Kebebew</surname>
<given-names>E</given-names>
</name>
<article-title>Repurposing existing drugs for the treatment of thyroid cancer</article-title>
<source>Expert Rev Endocrinol Metab</source>
<year>2012</year>
<volume>7</volume>
<fpage>369</fpage>
<lpage>71</lpage>
<pub-id pub-id-type="pmid">30754167</pub-id>
</element-citation>
</ref>
<ref id="B18">
<label>18</label>
<element-citation publication-type="journal">
<name>
<surname>Das</surname>
<given-names>M</given-names>
</name>
<article-title>Brigatinib effective in ALK-positive non-small-cell lung cancer</article-title>
<source>Lancet Oncol</source>
<year>2017</year>
<volume>18</volume>
<fpage>e310</fpage>
<pub-id pub-id-type="pmid">28506557</pub-id>
</element-citation>
</ref>
<ref id="B19">
<label>19</label>
<element-citation publication-type="journal">
<name>
<surname>Markham</surname>
<given-names>A</given-names>
</name>
<article-title>Brigatinib: First Global Approval</article-title>
<source>Drugs</source>
<year>2017</year>
<volume>77</volume>
<fpage>1131</fpage>
<lpage>5</lpage>
<pub-id pub-id-type="pmid">28597393</pub-id>
</element-citation>
</ref>
<ref id="B20">
<label>20</label>
<element-citation publication-type="journal">
<name>
<surname>Siaw</surname>
<given-names>JT</given-names>
</name>
<name>
<surname>Wan</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Pfeifer</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Rivera</surname>
<given-names>VM</given-names>
</name>
<name>
<surname>Guan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Palmer</surname>
<given-names>RH</given-names>
</name>
<etal></etal>
<article-title>Brigatinib, an anaplastic lymphoma kinase inhibitor, abrogates activity and growth in ALK-positive neuroblastoma cells, Drosophila and mice</article-title>
<source>Oncotarget</source>
<year>2016</year>
<volume>7</volume>
<fpage>29011</fpage>
<lpage>22</lpage>
<pub-id pub-id-type="pmid">27049722</pub-id>
</element-citation>
</ref>
<ref id="B21">
<label>21</label>
<element-citation publication-type="journal">
<name>
<surname>Huang</surname>
<given-names>WS</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Zou</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Thomas</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>T</given-names>
</name>
<etal></etal>
<article-title>Discovery of Brigatinib (AP26113), a Phosphine Oxide-Containing, Potent, Orally Active Inhibitor of Anaplastic Lymphoma Kinase</article-title>
<source>J Med Chem</source>
<year>2016</year>
<volume>59</volume>
<fpage>4948</fpage>
<lpage>64</lpage>
<pub-id pub-id-type="pmid">27144831</pub-id>
</element-citation>
</ref>
<ref id="B22">
<label>22</label>
<element-citation publication-type="journal">
<name>
<surname>Chen</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>HN</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J</given-names>
</name>
<etal></etal>
<article-title>Ketoconazole exacerbates mitophagy to induce apoptosis by downregulating cyclooxygenase-2 in hepatocellular carcinoma</article-title>
<source>J Hepatol</source>
<year>2019</year>
<volume>70</volume>
<fpage>66</fpage>
<lpage>77</lpage>
<pub-id pub-id-type="pmid">30287340</pub-id>
</element-citation>
</ref>
<ref id="B23">
<label>23</label>
<element-citation publication-type="journal">
<name>
<surname>Zhou</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Gao</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Z</given-names>
</name>
<etal></etal>
<article-title>Brefeldin A inhibits colorectal cancer growth by triggering Bip/Akt-regulated autophagy</article-title>
<source>FASEB J</source>
<year>2019</year>
<volume>33</volume>
<fpage>5520</fpage>
<lpage>34</lpage>
<pub-id pub-id-type="pmid">30668917</pub-id>
</element-citation>
</ref>
<ref id="B24">
<label>24</label>
<element-citation publication-type="journal">
<name>
<surname>Hetz</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Papa</surname>
<given-names>FR</given-names>
</name>
<article-title>The Unfolded Protein Response and Cell Fate Control</article-title>
<source>Mol Cell</source>
<year>2018</year>
<volume>69</volume>
<fpage>169</fpage>
<lpage>81</lpage>
<pub-id pub-id-type="pmid">29107536</pub-id>
</element-citation>
</ref>
<ref id="B25">
<label>25</label>
<element-citation publication-type="journal">
<name>
<surname>Lagace</surname>
<given-names>TA</given-names>
</name>
<name>
<surname>Ridgway</surname>
<given-names>ND</given-names>
</name>
<article-title>The role of phospholipids in the biological activity and structure of the endoplasmic reticulum</article-title>
<source>Biochim Biophys Acta</source>
<year>2013</year>
<volume>1833</volume>
<fpage>2499</fpage>
<lpage>510</lpage>
<pub-id pub-id-type="pmid">23711956</pub-id>
</element-citation>
</ref>
<ref id="B26">
<label>26</label>
<element-citation publication-type="journal">
<name>
<surname>Fagone</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Jackowski</surname>
<given-names>S</given-names>
</name>
<article-title>Membrane phospholipid synthesis and endoplasmic reticulum function</article-title>
<source>J Lipid Res</source>
<year>2009</year>
<volume>50</volume>
<issue>Suppl</issue>
<fpage>S311</fpage>
<lpage>6</lpage>
<pub-id pub-id-type="pmid">18952570</pub-id>
</element-citation>
</ref>
<ref id="B27">
<label>27</label>
<element-citation publication-type="journal">
<name>
<surname>Du</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Turner</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H</given-names>
</name>
<article-title>The role of oxysterol-binding protein and its related proteins in cancer</article-title>
<source>Semin Cell Dev Biol</source>
<year>2018</year>
<volume>81</volume>
<fpage>149</fpage>
<lpage>53</lpage>
<pub-id pub-id-type="pmid">28733164</pub-id>
</element-citation>
</ref>
<ref id="B28">
<label>28</label>
<element-citation publication-type="journal">
<name>
<surname>Olkkonen</surname>
<given-names>VM</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>S</given-names>
</name>
<article-title>Oxysterol-binding proteins: sterol and phosphoinositide sensors coordinating transport, signaling and metabolism</article-title>
<source>Prog Lipid Res</source>
<year>2013</year>
<volume>52</volume>
<fpage>529</fpage>
<lpage>38</lpage>
<pub-id pub-id-type="pmid">23830809</pub-id>
</element-citation>
</ref>
<ref id="B29">
<label>29</label>
<element-citation publication-type="journal">
<name>
<surname>Zhong</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Qin</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Pu</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>L</given-names>
</name>
<etal></etal>
<article-title>Oxysterol-binding protein-related protein 8 (ORP8) increases sensitivity of hepatocellular carcinoma cells to Fas-mediated apoptosis</article-title>
<source>J Biol Chem</source>
<year>2015</year>
<volume>290</volume>
<fpage>8876</fpage>
<lpage>87</lpage>
<pub-id pub-id-type="pmid">25596532</pub-id>
</element-citation>
</ref>
<ref id="B30">
<label>30</label>
<element-citation publication-type="journal">
<name>
<surname>Li</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Zheng</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Lou</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Zhong</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>D</given-names>
</name>
<article-title>Oxysterol binding protein-related protein 8 mediates the cytotoxicity of 25-hydroxycholesterol</article-title>
<source>J Lipid Res</source>
<year>2016</year>
<volume>57</volume>
<fpage>1845</fpage>
<lpage>53</lpage>
<pub-id pub-id-type="pmid">27530118</pub-id>
</element-citation>
</ref>
<ref id="B31">
<label>31</label>
<element-citation publication-type="journal">
<name>
<surname>Du</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Zadoorian</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Lukmantara</surname>
<given-names>IE</given-names>
</name>
<name>
<surname>Qi</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Brown</surname>
<given-names>AJ</given-names>
</name>
<name>
<surname>Yang</surname>
<given-names>H</given-names>
</name>
<article-title>Oxysterol-binding protein-related protein 5 (ORP5) promotes cell proliferation by activation of mTORC1 signaling</article-title>
<source>J Biol Chem</source>
<year>2018</year>
<volume>293</volume>
<fpage>3806</fpage>
<lpage>18</lpage>
<pub-id pub-id-type="pmid">29358326</pub-id>
</element-citation>
</ref>
<ref id="B32">
<label>32</label>
<element-citation publication-type="journal">
<name>
<surname>Yamamoto</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Takabatake</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Kimura</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Takahashi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Namba</surname>
<given-names>T</given-names>
</name>
<name>
<surname>Matsuda</surname>
<given-names>J</given-names>
</name>
<etal></etal>
<article-title>Time-dependent dysregulation of autophagy: Implications in aging and mitochondrial homeostasis in the kidney proximal tubule</article-title>
<source>Autophagy</source>
<year>2016</year>
<volume>12</volume>
<fpage>801</fpage>
<lpage>13</lpage>
<pub-id pub-id-type="pmid">26986194</pub-id>
</element-citation>
</ref>
<ref id="B33">
<label>33</label>
<element-citation publication-type="journal">
<name>
<surname>Mahoney</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Lucas</surname>
<given-names>DM</given-names>
</name>
<name>
<surname>Gupta</surname>
<given-names>SV</given-names>
</name>
<name>
<surname>Wagner</surname>
<given-names>AJ</given-names>
</name>
<name>
<surname>Herman</surname>
<given-names>SE</given-names>
</name>
<name>
<surname>Smith</surname>
<given-names>LL</given-names>
</name>
<etal></etal>
<article-title>ER stress and autophagy: new discoveries in the mechanism of action and drug resistance of the cyclin-dependent kinase inhibitor flavopiridol</article-title>
<source>Blood</source>
<year>2012</year>
<volume>120</volume>
<fpage>1262</fpage>
<lpage>73</lpage>
<pub-id pub-id-type="pmid">22740450</pub-id>
</element-citation>
</ref>
<ref id="B34">
<label>34</label>
<element-citation publication-type="journal">
<name>
<surname>Li</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Jiang</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Zhong</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>M</given-names>
</name>
<etal></etal>
<article-title>Simultaneous inhibition of the ubiquitin-proteasome system and autophagy enhances apoptosis induced by ER stress aggravators in human pancreatic cancer cells</article-title>
<source>Autophagy</source>
<year>2016</year>
<volume>12</volume>
<fpage>1521</fpage>
<lpage>37</lpage>
<pub-id pub-id-type="pmid">27308733</pub-id>
</element-citation>
</ref>
<ref id="B35">
<label>35</label>
<element-citation publication-type="journal">
<name>
<surname>Mokarram</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Albokashy</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Zarghooni</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Moosavi</surname>
<given-names>MA</given-names>
</name>
<name>
<surname>Sepehri</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>QM</given-names>
</name>
<etal></etal>
<article-title>New frontiers in the treatment of colorectal cancer: Autophagy and the unfolded protein response as promising targets</article-title>
<source>Autophagy</source>
<year>2017</year>
<volume>13</volume>
<fpage>781</fpage>
<lpage>819</lpage>
<pub-id pub-id-type="pmid">28358273</pub-id>
</element-citation>
</ref>
<ref id="B36">
<label>36</label>
<element-citation publication-type="journal">
<name>
<surname>Ma</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Zhu</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Bao</surname>
<given-names>X</given-names>
</name>
<etal></etal>
<article-title>Corosolic acid, a natural triterpenoid, induces ER stress-dependent apoptosis in human castration resistant prostate cancer cells via activation of IRE-1/JNK, PERK/CHOP and TRIB3</article-title>
<source>J Exp Clin Cancer Res</source>
<year>2018</year>
<volume>37</volume>
<fpage>210</fpage>
<pub-id pub-id-type="pmid">30176898</pub-id>
</element-citation>
</ref>
<ref id="B37">
<label>37</label>
<element-citation publication-type="journal">
<name>
<surname>Corazzari</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Rapino</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Ciccosanti</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Giglio</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Antonioli</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Conti</surname>
<given-names>B</given-names>
</name>
<etal></etal>
<article-title>Oncogenic BRAF induces chronic ER stress condition resulting in increased basal autophagy and apoptotic resistance of cutaneous melanoma</article-title>
<source>Cell Death Differ</source>
<year>2015</year>
<volume>22</volume>
<fpage>946</fpage>
<lpage>58</lpage>
<pub-id pub-id-type="pmid">25361077</pub-id>
</element-citation>
</ref>
<ref id="B38">
<label>38</label>
<element-citation publication-type="journal">
<name>
<surname>Garcia-Navas</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Munder</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Mollinedo</surname>
<given-names>F</given-names>
</name>
<article-title>Depletion of L-arginine induces autophagy as a cytoprotective response to endoplasmic reticulum stress in human T lymphocytes</article-title>
<source>Autophagy</source>
<year>2012</year>
<volume>8</volume>
<fpage>1557</fpage>
<lpage>76</lpage>
<pub-id pub-id-type="pmid">22874569</pub-id>
</element-citation>
</ref>
<ref id="B39">
<label>39</label>
<element-citation publication-type="journal">
<name>
<surname>Lipatova</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Segev</surname>
<given-names>N</given-names>
</name>
<article-title>A Role for Macro-ER-Phagy in ER Quality Control</article-title>
<source>PLoS Genet</source>
<year>2015</year>
<volume>11</volume>
<fpage>e1005390</fpage>
<pub-id pub-id-type="pmid">26181331</pub-id>
</element-citation>
</ref>
<ref id="B40">
<label>40</label>
<element-citation publication-type="journal">
<name>
<surname>Schuck</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Gallagher</surname>
<given-names>CM</given-names>
</name>
<name>
<surname>Walter</surname>
<given-names>P</given-names>
</name>
<article-title>ER-phagy mediates selective degradation of endoplasmic reticulum independently of the core autophagy machinery</article-title>
<source>J Cell Sci</source>
<year>2014</year>
<volume>127</volume>
<fpage>4078</fpage>
<lpage>88</lpage>
<pub-id pub-id-type="pmid">25052096</pub-id>
</element-citation>
</ref>
<ref id="B41">
<label>41</label>
<element-citation publication-type="journal">
<name>
<surname>Mizushima</surname>
<given-names>N</given-names>
</name>
<article-title>A Dual Binding Receptor for ER-phagy</article-title>
<source>Dev Cell</source>
<year>2018</year>
<volume>44</volume>
<fpage>133</fpage>
<lpage>5</lpage>
<pub-id pub-id-type="pmid">29401415</pub-id>
</element-citation>
</ref>
<ref id="B42">
<label>42</label>
<element-citation publication-type="journal">
<name>
<surname>Breckenridge</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Jacob</surname>
<given-names>R</given-names>
</name>
<article-title>Overcoming the legal and regulatory barriers to drug repurposing</article-title>
<source>Nat Rev Drug Discov</source>
<year>2019</year>
<volume>18</volume>
<fpage>1</fpage>
<lpage>2</lpage>
<pub-id pub-id-type="pmid">29880920</pub-id>
</element-citation>
</ref>
<ref id="B43">
<label>43</label>
<element-citation publication-type="journal">
<name>
<surname>Howell</surname>
<given-names>JJ</given-names>
</name>
<name>
<surname>Hellberg</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Turner</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Talbott</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Kolar</surname>
<given-names>MJ</given-names>
</name>
<name>
<surname>Ross</surname>
<given-names>DS</given-names>
</name>
<etal></etal>
<article-title>Metformin Inhibits Hepatic mTORC1 Signaling via Dose-Dependent Mechanisms Involving AMPK and the TSC Complex</article-title>
<source>Cell Metab</source>
<year>2017</year>
<volume>25</volume>
<fpage>463</fpage>
<lpage>71</lpage>
<pub-id pub-id-type="pmid">28089566</pub-id>
</element-citation>
</ref>
<ref id="B44">
<label>44</label>
<element-citation publication-type="journal">
<name>
<surname>Liu</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Romero</surname>
<given-names>IL</given-names>
</name>
<name>
<surname>Litchfield</surname>
<given-names>LM</given-names>
</name>
<name>
<surname>Lengyel</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Locasale</surname>
<given-names>JW</given-names>
</name>
<article-title>Metformin Targets Central Carbon Metabolism and Reveals Mitochondrial Requirements in Human Cancers</article-title>
<source>Cell Metab</source>
<year>2016</year>
<volume>24</volume>
<fpage>728</fpage>
<lpage>39</lpage>
<pub-id pub-id-type="pmid">27746051</pub-id>
</element-citation>
</ref>
<ref id="B45">
<label>45</label>
<element-citation publication-type="journal">
<name>
<surname>Shaw</surname>
<given-names>AT</given-names>
</name>
<name>
<surname>Ou</surname>
<given-names>SH</given-names>
</name>
<name>
<surname>Bang</surname>
<given-names>YJ</given-names>
</name>
<name>
<surname>Camidge</surname>
<given-names>DR</given-names>
</name>
<name>
<surname>Solomon</surname>
<given-names>BJ</given-names>
</name>
<name>
<surname>Salgia</surname>
<given-names>R</given-names>
</name>
<etal></etal>
<article-title>Crizotinib in ROS1-rearranged non-small-cell lung cancer</article-title>
<source>N Engl J Med</source>
<year>2014</year>
<volume>371</volume>
<fpage>1963</fpage>
<lpage>71</lpage>
<pub-id pub-id-type="pmid">25264305</pub-id>
</element-citation>
</ref>
<ref id="B46">
<label>46</label>
<element-citation publication-type="journal">
<name>
<surname>Matzke-Ogi</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Jannasch</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Shatirishvili</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Fuchs</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Chiblak</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Morton</surname>
<given-names>J</given-names>
</name>
<etal></etal>
<article-title>Inhibition of Tumor Growth and Metastasis in Pancreatic Cancer Models by Interference With CD44v6 Signaling</article-title>
<source>Gastroenterology</source>
<year>2016</year>
<volume>150</volume>
<fpage>513</fpage>
<lpage>25</lpage>
<comment>e10</comment>
<pub-id pub-id-type="pmid">26597578</pub-id>
</element-citation>
</ref>
<ref id="B47">
<label>47</label>
<element-citation publication-type="journal">
<name>
<surname>Wang</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Qi</surname>
<given-names>Q</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>W</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>A</given-names>
</name>
<etal></etal>
<article-title>Inhibition of glioma growth by flavokawain B is mediated through endoplasmic reticulum stress induced autophagy</article-title>
<source>Autophagy</source>
<year>2018</year>
<volume>14</volume>
<fpage>2007</fpage>
<lpage>22</lpage>
<pub-id pub-id-type="pmid">30025493</pub-id>
</element-citation>
</ref>
<ref id="B48">
<label>48</label>
<element-citation publication-type="journal">
<name>
<surname>Cheng</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Feng</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Jin</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Shen</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Kuang</surname>
<given-names>J</given-names>
</name>
<etal></etal>
<article-title>Targeting autophagy enhances apatinib-induced apoptosis via endoplasmic reticulum stress for human colorectal cancer</article-title>
<source>Cancer Lett</source>
<year>2018</year>
<volume>431</volume>
<fpage>105</fpage>
<lpage>14</lpage>
<pub-id pub-id-type="pmid">29859300</pub-id>
</element-citation>
</ref>
<ref id="B49">
<label>49</label>
<element-citation publication-type="journal">
<name>
<surname>D'Arcy</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Linder</surname>
<given-names>S</given-names>
</name>
<article-title>Molecular pathways: translational potential of deubiquitinases as drug targets</article-title>
<source>Clin Cancer Res</source>
<year>2014</year>
<volume>20</volume>
<fpage>3908</fpage>
<lpage>14</lpage>
<pub-id pub-id-type="pmid">25085788</pub-id>
</element-citation>
</ref>
<ref id="B50">
<label>50</label>
<element-citation publication-type="journal">
<name>
<surname>Ovaa</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Kessler</surname>
<given-names>BM</given-names>
</name>
<name>
<surname>Rolen</surname>
<given-names>U</given-names>
</name>
<name>
<surname>Galardy</surname>
<given-names>PJ</given-names>
</name>
<name>
<surname>Ploegh</surname>
<given-names>HL</given-names>
</name>
<name>
<surname>Masucci</surname>
<given-names>MG</given-names>
</name>
<article-title>Activity-based ubiquitin-specific protease (USP) profiling of virus-infected and malignant human cells</article-title>
<source>Proc Natl Acad Sci U S A</source>
<year>2004</year>
<volume>101</volume>
<fpage>2253</fpage>
<lpage>8</lpage>
<pub-id pub-id-type="pmid">14982996</pub-id>
</element-citation>
</ref>
<ref id="B51">
<label>51</label>
<element-citation publication-type="journal">
<name>
<surname>Wang</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Juan</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>Z</given-names>
</name>
<name>
<surname>Du</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Tong</surname>
<given-names>J</given-names>
</name>
<etal></etal>
<article-title>Inhibition of the deubiquitinase USP5 leads to c-Maf protein degradation and myeloma cell apoptosis</article-title>
<source>Cell Death Dis</source>
<year>2017</year>
<volume>8</volume>
<fpage>e3058</fpage>
<pub-id pub-id-type="pmid">28933784</pub-id>
</element-citation>
</ref>
<ref id="B52">
<label>52</label>
<element-citation publication-type="journal">
<name>
<surname>Chen</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y</given-names>
</name>
<name>
<surname>Xue</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Gong</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Yu</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Zhou</surname>
<given-names>A</given-names>
</name>
<etal></etal>
<article-title>Wnt-induced deubiquitination FoxM1 ensures nucleus beta-catenin transactivation</article-title>
<source>EMBO J</source>
<year>2016</year>
<volume>35</volume>
<fpage>668</fpage>
<lpage>84</lpage>
<pub-id pub-id-type="pmid">26912724</pub-id>
</element-citation>
</ref>
</ref-list>
</back>
<floats-group>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>
<bold> Brigatinib inhibits the growth of CRC cells. A,</bold>
Cell growth of various CRC cell lines treated with the indicated concentrations of brigatinib for 24 hours.
<bold>B,</bold>
LDH release assay of DLD-1 and HCT116 cells treated with the indicated concentrations of brigatinib for 24 hours. *,
<italic>P</italic>
< 0.05; **,
<italic>P</italic>
< 0.01; ***,
<italic>P</italic>
< 0.001.
<bold>C,</bold>
Colony formation assay of CRC cells treated with the indicated concentrations of brigatinib. Representative images (Left) and quantification of colonies (Right) were shown. *,
<italic>P</italic>
< 0.05; ***,
<italic>P</italic>
< 0.001.
<bold>D,</bold>
EdU labeling assay. Cells were treated as in (B). *,
<italic>P</italic>
< 0.05; **,
<italic>P</italic>
< 0.01; ***,
<italic>P</italic>
< 0.001.
<bold>E-F,</bold>
TUNEL assay in cells treated as in (B). Representative images (E) and quantification of TUNEL-positive cells (F) were shown. Scale bar, 50 μm. *,
<italic>P</italic>
< 0.05; **,
<italic>P</italic>
< 0.01; ***,
<italic>P</italic>
< 0.001.
<bold>G,</bold>
Flow cytometric analysis of apoptosis in cells treated as in (B).
<bold>H,</bold>
Immunoblotting of total and cleaved PARP or caspase 3 in CRC cells treated with the indicated concentrations of brigatinib for 24 hours.</p>
</caption>
<graphic xlink:href="thnov09p4878g001"></graphic>
</fig>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>
<bold> Brigatinib induces apoptosis by activating ER stress in CRC cells. A,</bold>
Immunoblotting of total and phosphorylated PERK, IRE1α and CHOP in CRC cells treated with the indicated concentrations of brigatinib for 24 hours.
<bold>B,</bold>
Interaction among BiP, PERK, and IRE1α was determined by coimmunoprecipitation assay.
<bold>C,</bold>
Immunoblotting of total and phosphorylated PERK, IRE1α and CHOP as well as total and cleaved PARP or caspase 3 in CRC cells treated with or without 1 μM brigatinib in the presence or absence of 2 mM 4-phenylbutyrate (4-PBA) for 24 hours.
<bold>D,</bold>
Colony formation assay of CRC cells treated with or without 1 μM brigatinib in the presence or absence of 2 mM 4-PBA. Representative images (Top) and Quantification of colonies (Bottom) were shown. **,
<italic>P</italic>
< 0.01.
<bold>E-G</bold>
, Cell growth assay (E), LDH release assay (F) and flow cytometric analysis of apoptosis (G) in CRC cells treated as (D). *,
<italic>P</italic>
< 0.05; **,
<italic>P</italic>
< 0.01.</p>
</caption>
<graphic xlink:href="thnov09p4878g002"></graphic>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption>
<p>
<bold> USP5-mediated ORP8 accumulation contributes to brigatinib-induced ER stress in CRC cells</bold>
.
<bold>A,</bold>
Immunoblotting of ORP8 in CRC cells treated with the indicated concentrations of brigatinib for 24 hours.
<bold>B,</bold>
Immunofluorescence analysis of ORP8 in CRC cells treated with 1 μM brigatinib for 12 hours. Scale bar, 10 μm.
<bold>C,</bold>
Immunoblotting of ORP8 in CRC cells treated with or without 1 μM brigatinib in the presence or absence of 2 mM 4-PBA for 24 hours.
<bold>D,</bold>
Immunoblotting of total and phosphorylated PERK, IRE1α in CRC cells transfected with si
<italic>ORP8</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.
<bold>E-F,</bold>
Immunoblotting (E) of ORP8 in CRC cells pretreated with 1 μM brigatinib for 12 hours followed by exposure to 50 μg CHX combined with or without 1 μM brigatinib for the indicated time. Quantification of relative ORP8 expression (F) was shown. **,
<italic>P</italic>
< 0.01; ***,
<italic>P</italic>
< 0.001.
<bold>G,</bold>
Coimmunoprecipitation showing the interaction among ORP8, USP5 and ubiquitin after brigatinib treatment.
<bold>H,</bold>
Colony formation assay of CRC cells transfected with si
<italic>ORP8</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib. Representative images (Top) and quantification of colonies (Bottom) were shown. **,
<italic>P</italic>
< 0.01.
<bold>I,</bold>
Cell growth of CRC cells transfected with si
<italic>ORP8</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours. *,
<italic>P</italic>
< 0.05.</p>
</caption>
<graphic xlink:href="thnov09p4878g003"></graphic>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption>
<p>
<bold> Brigatinib activates autophagy via ER stress-signaling pathway in CRC cells. A,</bold>
Immunoblotting of LC3B, Atg5, Atg7, and Beclin 1 in CRC cells treated with the indicated concentrations of brigatinib for 24 hours.
<bold>B,</bold>
Interaction among Beclin 1, Bcl-2 and Atg14L was determined by coimmunoprecipitation assay.
<bold> C-D</bold>
, Immunofluorescence analysis (C) of LC3B in CRC cells treated with or without 1 µM brigatinib for 12 hours. The number of LC3 puncta (D) was shown. ***,
<italic>P</italic>
< 0.001. Scale bar, 10 μm.
<bold>E,</bold>
Immunoblotting of LC3B in CRC cells transfected with si
<italic>ATG5</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.
<bold> F,</bold>
Immunoblotting of LC3B in CRC cells transfected with si
<italic>ATG7</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.
<bold>G,</bold>
Immunoblotting of LC3B in CRC cells transfected with si
<italic>BECN1</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.
<bold>H,</bold>
Immunoblotting of LC3B in CRC cells treated with or without 1 μM brigatinib in the presence or absence of 10 μM chloroquine (CQ) for 24 hours.
<bold>I-J,</bold>
Immunofluorescence analysis (I) of colocalized LC3B and LAMP2 in CRC cells treated with or without 1 µM brigatinib for 12 hours. CQ group was negative control. The number of colocalized or non-colocalized LC3B and LAMP2 (J) was quantified. *,
<italic>P</italic>
< 0.05. **,
<italic>P</italic>
< 0.01. Scale bar, 10 μm.
<bold> K,</bold>
Immunoblotting of LC3B, Atg5 and Beclin 1 in CRC cells transfected with si
<italic>ORP8</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.
<bold> L,</bold>
Immunoblotting of LC3B, Atg5 and Beclin 1 in CRC cells treated with or without 1 μM brigatinib in the presence or absence of 2 mM 4-PBA for 24 hours.
<bold> M,</bold>
Immunoblotting of LC3B in CRC cells transfected with si
<italic>IRE1α</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.</p>
</caption>
<graphic xlink:href="thnov09p4878g004"></graphic>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption>
<p>
<bold> Brigatinib induces ER-phagy in CRC cells. A,</bold>
Immunoblotting of FAM134B in CRC cells treated with the indicated concentrations of brigatinib for 24 hours.
<bold>B,</bold>
Immunoblotting of FAM134B in CRC cells treated with or without 1 μM brigatinib in the presence or absence of 2 mM 4-PBA for 24 hours.
<bold>C,</bold>
Immunoblotting of LC3B, Atg5, and Beclin 1 in CRC cells transfected with si
<italic>FAM134B</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours.
<bold>D,</bold>
Interaction between FAM134B and LC3B was determined by coimmunoprecipitation assay.
<bold>E,</bold>
CRC cells transfected with either WT or LIRmut HA-FAM134B plasmids for 48 hours, followed by treatment with or without 1 µM brigatinib for 24 hours. Interaction between WT or LIRmut HA-FAM134B and LC3B was determined by coimmunoprecipitation assay.
<bold> F-H,</bold>
Immunofluorescence analysis of colocalization of LC3B with WT or LIRmut HA-FAM134B in CRC cells treated with or without 1 µM brigatinib for 12 hours. Scale bar, 10 μm. The number of colocalized LC3 puncta and WT or LIRmut HA-FAM134B (H) was quantified. **,
<italic>P</italic>
< 0.01; ***,
<italic>P</italic>
< 0.001.
<bold> I-J,</bold>
Cells were transfected with GFP-LC3 plasmid for 48 hours, followed by treatment with or without 1 µM brigatinib for 12 hours and staining with ER-Tracker Blue for 30 minutes (I). The number of colocalized GFP-LC3 puncta and ER-Tracker Blue (J) was quantified. Scale bar, 10 μm. ***,
<italic>P</italic>
< 0.001.</p>
</caption>
<graphic xlink:href="thnov09p4878g005"></graphic>
</fig>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption>
<p>
<bold> Inhibition of ER-phagy enhances brigatinib susceptibility to CRC cells
<italic>in vitro</italic>
and
<italic>in vivo</italic>
. A,</bold>
Cell growth of CRC cells treated with or without 1 μM brigatinib in the presence or absence of 1 mM 3-MA or 10 μM CQ for 24 hours. *,
<italic>P</italic>
< 0.05; **,
<italic>P</italic>
< 0.01.
<bold>B,</bold>
Cell growth of CRC cells transfected with si
<italic>FAM134B</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib for 24 hours. **,
<italic>P</italic>
< 0.01.
<bold>C,</bold>
Colony formation assay of CRC cells treated with or without 1 μM brigatinib in the presence or absence of 10 μM CQ. Representative images (Top) and quantification of colonies (Bottom) were shown. **,
<italic>P</italic>
< 0.01.
<bold>D,</bold>
Colony formation assay of CRC cells transfected with si
<italic>FAM134B</italic>
or si
<italic>Scramble</italic>
followed by treatment with or without 1 μM brigatinib. Representative images (Top) and quantification of colonies (Bottom) were shown. *,
<italic>P</italic>
< 0.05; **,
<italic>P</italic>
< 0.01.
<bold>E-G,</bold>
DLD-1 cells were injected subcutaneously into nude mice. When the tumor volumes reached ~100 mm
<sup>3</sup>
, mice were received vehicle or brigatinib in combination with or without CQ. Images (E) and weights (G) of isolated tumors and volumes measured at the indicated time points (F) were shown. Scale bar, 1 cm. ns, no statistical significance; *,
<italic>P</italic>
< 0.05; ***,
<italic>P</italic>
< 0.001.
<bold>H-I,</bold>
Immunohistochemical staining of Ki67 (H) and relative immunohistochemical scores (I) were shown. Scale bar, 50 μm. ns, no statistical significance; **,
<italic>P</italic>
< 0.01; ***,
<italic>P</italic>
< 0.001.</p>
</caption>
<graphic xlink:href="thnov09p4878g006"></graphic>
</fig>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption>
<p>
<bold> Graph abstract: the anti-cancer mechanism of brigatinib in CRC cells.</bold>
Brigatinib enhances interaction of USP5 with ORP8 to facilitate ORP8 accumulation by attenuating ubiquitination degradation, resulting in ORP8-induced ER stress. Meanwhile, ER-phagy is stimulated to relieve ER stress in brigatinib-treated CRC cells.</p>
</caption>
<graphic xlink:href="thnov09p4878g007"></graphic>
</fig>
</floats-group>
</pmc>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/ChloroquineV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000820 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000820 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    ChloroquineV1
   |flux=    Pmc
   |étape=   Corpus
   |type=    RBID
   |clé=     PMC:6691391
   |texte=   Repurposing Brigatinib for the Treatment of Colorectal Cancer Based on Inhibition of ER-phagy
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/RBID.i   -Sk "pubmed:31410188" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a ChloroquineV1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Wed Mar 25 22:43:59 2020. Site generation: Sun Jan 31 12:44:45 2021