The chimeric transcript RUNX1-GLRX5: a biomarker for good postoperative prognosis in Stage IA non-small-cell lung cancer.
Identifieur interne : 000405 ( Main/Exploration ); précédent : 000404; suivant : 000406The chimeric transcript RUNX1-GLRX5: a biomarker for good postoperative prognosis in Stage IA non-small-cell lung cancer.
Auteurs : Rie Ishikawa [Japon] ; Yosuke Amano [Japon] ; Masanori Kawakami [Japon] ; Mitsuhiro Sunohara [Japon] ; Kousuke Watanabe [Japon] ; Hidenori Kage [Japon] ; Nobuya Ohishi [Japon] ; Yutaka Yatomi [Japon] ; Jun Nakajima [Japon] ; Masashi Fukayama [Japon] ; Takahide Nagase [Japon] ; Daiya Takai [Japon]Source :
- Japanese journal of clinical oncology [ 1465-3621 ] ; 2016.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen (MeSH), Analyse de survie (MeSH), Carcinome pulmonaire non à petites cellules (anatomopathologie), Carcinome pulmonaire non à petites cellules (composition chimique), Chimère (MeSH), Femelle (MeSH), Glutarédoxines (analyse), Humains (MeSH), Marqueurs biologiques tumoraux (analyse), Mâle (MeSH), Pronostic (MeSH), Période postopératoire (MeSH), Récidive tumorale locale (MeSH), Sous-unité alpha 2 du facteur CBF (analyse), Stadification tumorale (MeSH), Sujet âgé (MeSH), Tumeurs du poumon (anatomopathologie), Tumeurs du poumon (composition chimique), Valeur prédictive des tests (MeSH).
- MESH :
- analyse : Glutarédoxines, Marqueurs biologiques tumoraux, Sous-unité alpha 2 du facteur CBF.
- anatomopathologie : Carcinome pulmonaire non à petites cellules, Tumeurs du poumon.
- composition chimique : Carcinome pulmonaire non à petites cellules, Tumeurs du poumon.
- Adulte d'âge moyen, Analyse de survie, Chimère, Femelle, Humains, Mâle, Pronostic, Période postopératoire, Récidive tumorale locale, Stadification tumorale, Sujet âgé, Valeur prédictive des tests.
English descriptors
- KwdEn :
- Aged (MeSH), Biomarkers, Tumor (analysis), Carcinoma, Non-Small-Cell Lung (chemistry), Carcinoma, Non-Small-Cell Lung (pathology), Chimera (MeSH), Core Binding Factor Alpha 2 Subunit (analysis), Female (MeSH), Glutaredoxins (analysis), Humans (MeSH), Lung Neoplasms (chemistry), Lung Neoplasms (pathology), Male (MeSH), Middle Aged (MeSH), Neoplasm Recurrence, Local (MeSH), Neoplasm Staging (MeSH), Postoperative Period (MeSH), Predictive Value of Tests (MeSH), Prognosis (MeSH), Survival Analysis (MeSH).
- MESH :
- chemical , analysis : Biomarkers, Tumor, Core Binding Factor Alpha 2 Subunit, Glutaredoxins.
- chemistry : Carcinoma, Non-Small-Cell Lung, Lung Neoplasms.
- pathology : Carcinoma, Non-Small-Cell Lung, Lung Neoplasms.
- Aged, Chimera, Female, Humans, Male, Middle Aged, Neoplasm Recurrence, Local, Neoplasm Staging, Postoperative Period, Predictive Value of Tests, Prognosis, Survival Analysis.
Abstract
Stage IA non-small-cell lung cancer cases have been recognized as having a low risk of relapse; however, occasionally, relapse may occur. To predict clinical outcome in Stage IA non-small-cell lung cancer patients, we searched for chimeric transcripts that can be used as biomarkers and identified a novel chimeric transcript, RUNX1-GLRX5, comprising RUNX1, a transcription factor, and GLRX5. This chimera was detected in approximately half of the investigated Stage IA non-small-cell lung cancer patients (44/104 cases, 42.3%). Although there was no significant difference in the overall survival rate between RUNX1-GLRX5-positive and -negative cases (P = 0.088), a significantly lower relapse rate was observed in the RUNX1-GLRX5-positive cases (P = 0.039), indicating that this chimera can be used as a biomarker for good prognosis in Stage IA patients. Detection of the RUNX1-GLRX5 chimeric transcript may therefore be useful for the determination of a postoperative treatment plan for Stage IA non-small-cell lung cancer patients.
DOI: 10.1093/jjco/hyv187
PubMed: 26685324
PubMed Central: PMC4731000
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Biomarkers, Tumor (analysis)</term>
<term>Carcinoma, Non-Small-Cell Lung (chemistry)</term>
<term>Carcinoma, Non-Small-Cell Lung (pathology)</term>
<term>Chimera (MeSH)</term>
<term>Core Binding Factor Alpha 2 Subunit (analysis)</term>
<term>Female (MeSH)</term>
<term>Glutaredoxins (analysis)</term>
<term>Humans (MeSH)</term>
<term>Lung Neoplasms (chemistry)</term>
<term>Lung Neoplasms (pathology)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Neoplasm Recurrence, Local (MeSH)</term>
<term>Neoplasm Staging (MeSH)</term>
<term>Postoperative Period (MeSH)</term>
<term>Predictive Value of Tests (MeSH)</term>
<term>Prognosis (MeSH)</term>
<term>Survival Analysis (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term>
<term>Analyse de survie (MeSH)</term>
<term>Carcinome pulmonaire non à petites cellules (anatomopathologie)</term>
<term>Carcinome pulmonaire non à petites cellules (composition chimique)</term>
<term>Chimère (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Glutarédoxines (analyse)</term>
<term>Humains (MeSH)</term>
<term>Marqueurs biologiques tumoraux (analyse)</term>
<term>Mâle (MeSH)</term>
<term>Pronostic (MeSH)</term>
<term>Période postopératoire (MeSH)</term>
<term>Récidive tumorale locale (MeSH)</term>
<term>Sous-unité alpha 2 du facteur CBF (analyse)</term>
<term>Stadification tumorale (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Tumeurs du poumon (anatomopathologie)</term>
<term>Tumeurs du poumon (composition chimique)</term>
<term>Valeur prédictive des tests (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Biomarkers, Tumor</term>
<term>Core Binding Factor Alpha 2 Subunit</term>
<term>Glutaredoxins</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Glutarédoxines</term>
<term>Marqueurs biologiques tumoraux</term>
<term>Sous-unité alpha 2 du facteur CBF</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Carcinome pulmonaire non à petites cellules</term>
<term>Tumeurs du poumon</term>
</keywords>
<keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Carcinoma, Non-Small-Cell Lung</term>
<term>Lung Neoplasms</term>
</keywords>
<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Carcinome pulmonaire non à petites cellules</term>
<term>Tumeurs du poumon</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Carcinoma, Non-Small-Cell Lung</term>
<term>Lung Neoplasms</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Chimera</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Neoplasm Recurrence, Local</term>
<term>Neoplasm Staging</term>
<term>Postoperative Period</term>
<term>Predictive Value of Tests</term>
<term>Prognosis</term>
<term>Survival Analysis</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term>
<term>Analyse de survie</term>
<term>Chimère</term>
<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
<term>Pronostic</term>
<term>Période postopératoire</term>
<term>Récidive tumorale locale</term>
<term>Stadification tumorale</term>
<term>Sujet âgé</term>
<term>Valeur prédictive des tests</term>
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<front><div type="abstract" xml:lang="en">Stage IA non-small-cell lung cancer cases have been recognized as having a low risk of relapse; however, occasionally, relapse may occur. To predict clinical outcome in Stage IA non-small-cell lung cancer patients, we searched for chimeric transcripts that can be used as biomarkers and identified a novel chimeric transcript, RUNX1-GLRX5, comprising RUNX1, a transcription factor, and GLRX5. This chimera was detected in approximately half of the investigated Stage IA non-small-cell lung cancer patients (44/104 cases, 42.3%). Although there was no significant difference in the overall survival rate between RUNX1-GLRX5-positive and -negative cases (P = 0.088), a significantly lower relapse rate was observed in the RUNX1-GLRX5-positive cases (P = 0.039), indicating that this chimera can be used as a biomarker for good prognosis in Stage IA patients. Detection of the RUNX1-GLRX5 chimeric transcript may therefore be useful for the determination of a postoperative treatment plan for Stage IA non-small-cell lung cancer patients. </div>
</front>
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<Title>Japanese journal of clinical oncology</Title>
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<ArticleTitle>The chimeric transcript RUNX1-GLRX5: a biomarker for good postoperative prognosis in Stage IA non-small-cell lung cancer.</ArticleTitle>
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<Abstract><AbstractText>Stage IA non-small-cell lung cancer cases have been recognized as having a low risk of relapse; however, occasionally, relapse may occur. To predict clinical outcome in Stage IA non-small-cell lung cancer patients, we searched for chimeric transcripts that can be used as biomarkers and identified a novel chimeric transcript, RUNX1-GLRX5, comprising RUNX1, a transcription factor, and GLRX5. This chimera was detected in approximately half of the investigated Stage IA non-small-cell lung cancer patients (44/104 cases, 42.3%). Although there was no significant difference in the overall survival rate between RUNX1-GLRX5-positive and -negative cases (P = 0.088), a significantly lower relapse rate was observed in the RUNX1-GLRX5-positive cases (P = 0.039), indicating that this chimera can be used as a biomarker for good prognosis in Stage IA patients. Detection of the RUNX1-GLRX5 chimeric transcript may therefore be useful for the determination of a postoperative treatment plan for Stage IA non-small-cell lung cancer patients. </AbstractText>
<CopyrightInformation>© The Author 2015. Published by Oxford University Press.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ishikawa</LastName>
<ForeName>Rie</ForeName>
<Initials>R</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Amano</LastName>
<ForeName>Yosuke</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kawakami</LastName>
<ForeName>Masanori</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sunohara</LastName>
<ForeName>Mitsuhiro</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Watanabe</LastName>
<ForeName>Kousuke</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kage</LastName>
<ForeName>Hidenori</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ohishi</LastName>
<ForeName>Nobuya</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yatomi</LastName>
<ForeName>Yutaka</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Nakajima</LastName>
<ForeName>Jun</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Cardiothoracic Surgery, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fukayama</LastName>
<ForeName>Masashi</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Department of Pathology, The University of Tokyo Hospital, Tokyo, Japan.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Nagase</LastName>
<ForeName>Takahide</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Department of Respiratory Medicine, The University of Tokyo Hospital, Tokyo.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Takai</LastName>
<ForeName>Daiya</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Laboratory, The University of Tokyo Hospital, Tokyo dtakai-ind@umin.ac.jp.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2015</Year>
<Month>12</Month>
<Day>18</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Jpn J Clin Oncol</MedlineTA>
<NlmUniqueID>0313225</NlmUniqueID>
<ISSNLinking>0368-2811</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D014408">Biomarkers, Tumor</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D050676">Core Binding Factor Alpha 2 Subunit</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="C516011">GLRX5 protein, human</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D054477">Glutaredoxins</NameOfSubstance>
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<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="C493728">RUNX1 protein, human</NameOfSubstance>
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<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
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<MeshHeading><DescriptorName UI="D002289" MajorTopicYN="N">Carcinoma, Non-Small-Cell Lung</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName>
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<MeshHeading><DescriptorName UI="D002678" MajorTopicYN="N">Chimera</DescriptorName>
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<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading><DescriptorName UI="D008175" MajorTopicYN="N">Lung Neoplasms</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="Y">pathology</QualifierName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009364" MajorTopicYN="N">Neoplasm Recurrence, Local</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009367" MajorTopicYN="N">Neoplasm Staging</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011184" MajorTopicYN="N">Postoperative Period</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011379" MajorTopicYN="N">Prognosis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016019" MajorTopicYN="N">Survival Analysis</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">GLRX5</Keyword>
<Keyword MajorTopicYN="N">RUNX1</Keyword>
<Keyword MajorTopicYN="N">biological markers</Keyword>
<Keyword MajorTopicYN="N">gene fusion</Keyword>
<Keyword MajorTopicYN="N">non-small-cell lung cancer</Keyword>
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<affiliations><list><country><li>Japon</li>
</country>
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<name sortKey="Fukayama, Masashi" sort="Fukayama, Masashi" uniqKey="Fukayama M" first="Masashi" last="Fukayama">Masashi Fukayama</name>
<name sortKey="Kage, Hidenori" sort="Kage, Hidenori" uniqKey="Kage H" first="Hidenori" last="Kage">Hidenori Kage</name>
<name sortKey="Kawakami, Masanori" sort="Kawakami, Masanori" uniqKey="Kawakami M" first="Masanori" last="Kawakami">Masanori Kawakami</name>
<name sortKey="Nagase, Takahide" sort="Nagase, Takahide" uniqKey="Nagase T" first="Takahide" last="Nagase">Takahide Nagase</name>
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