UPLC-MS/MS-based metabolomic characterization and comparison of pancreatic adenocarcinoma tissues using formalin-fixed, paraffin-embedded and optimal cutting temperature-embedded materials
Identifieur interne : 000297 ( Main/Exploration ); précédent : 000296; suivant : 000298UPLC-MS/MS-based metabolomic characterization and comparison of pancreatic adenocarcinoma tissues using formalin-fixed, paraffin-embedded and optimal cutting temperature-embedded materials
Auteurs : Di Feng ; Jing Yuan [République populaire de Chine] ; Qi Liu [États-Unis] ; Li Liu ; Xu Zhang ; Yali Wu ; Yifan Qian ; Liping Chen ; Yan Shi [République populaire de Chine] ; Mancang GuSource :
- International Journal of Oncology [ 1019-6439 ] ; 2019.
Abstract
The purpose of the present study was to compare metabolites from formalin-fixed and paraffin-embedded (FFPE) pancreatic tissue blocks with those identified in optimal cutting temperature (OCT)-embedded pancreatic tissue blocks. Thus, ultra-performance liquid chromatograph-mass spectrometry/mass spectrometry-based metabolic profiling was performed in paired frozen (n=13) and FFPE (n=13) human pancreatic adenocarcinoma tissue samples, in addition to their benign counterparts. A total of 206 metabolites were identified in both OCT-embedded and FFPE tissue samples. The method feasibility was confirmed through reproducibility and a consistency assessment. Partial least-squares discriminant analysis and heatmap analysis reliably distinguished tumor and normal tissue phenotypes. The expression of 10 compounds, including N-acetylaspartate and creatinine, was significantly different in both OCT-embedded and FFPE tumor samples. These ten compounds may be viable candidate biomarkers of malignant pancreatic tissues. The super-categories to which they belonged exhibited no significant differences between FFPE and OCT-embedded samples. Furthermore, purine, arginine and proline, and pyrimidine metabolism used a shared pathway found in both OCT-embedded and FFPE tissue samples. These results supported the notion that metabolomic data acquired from FFPE pancreatic cancer specimens are reliable for use in retrospective and clinical studies.
Url:
DOI: 10.3892/ijo.2019.4898
PubMed: 31638165
PubMed Central: 6831194
Affiliations:
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China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Pathology, Chinese PLA General Hospital, Beijing 100853</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Liu, Qi" sort="Liu, Qi" uniqKey="Liu Q" first="Qi" last="Liu">Qi Liu</name><affiliation wicri:level="1"><nlm:aff id="af3-ijo-55-06-1249">Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21231</wicri:regionArea><wicri:noRegion>MD 21231</wicri:noRegion></affiliation></author><author><name sortKey="Liu, Li" sort="Liu, Li" uniqKey="Liu L" first="Li" last="Liu">Li Liu</name><affiliation><nlm:aff id="af4-ijo-55-06-1249">Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, Hubei 430030</nlm:aff><wicri:noCountry code="subfield">Hubei 430030</wicri:noCountry></affiliation></author><author><name sortKey="Zhang, Xu" sort="Zhang, Xu" uniqKey="Zhang X" first="Xu" last="Zhang">Xu Zhang</name><affiliation><nlm:aff id="af1-ijo-55-06-1249">College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 311402</nlm:aff><wicri:noCountry code="subfield">Zhejiang 311402</wicri:noCountry></affiliation></author><author><name sortKey="Wu, Yali" sort="Wu, Yali" uniqKey="Wu Y" first="Yali" last="Wu">Yali Wu</name><affiliation><nlm:aff id="af1-ijo-55-06-1249">College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 311402</nlm:aff><wicri:noCountry code="subfield">Zhejiang 311402</wicri:noCountry></affiliation></author><author><name sortKey="Qian, Yifan" sort="Qian, Yifan" uniqKey="Qian Y" first="Yifan" last="Qian">Yifan Qian</name><affiliation><nlm:aff id="af1-ijo-55-06-1249">College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 311402</nlm:aff><wicri:noCountry code="subfield">Zhejiang 311402</wicri:noCountry></affiliation></author><author><name sortKey="Chen, Liping" sort="Chen, Liping" uniqKey="Chen L" first="Liping" last="Chen">Liping Chen</name><affiliation><nlm:aff id="af1-ijo-55-06-1249">College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 311402</nlm:aff><wicri:noCountry code="subfield">Zhejiang 311402</wicri:noCountry></affiliation></author><author><name sortKey="Shi, Yan" sort="Shi, Yan" uniqKey="Shi Y" first="Yan" last="Shi">Yan Shi</name><affiliation wicri:level="1"><nlm:aff id="af5-ijo-55-06-1249">Department of Medical Oncology, Chinese PLA General Hospital, Beijing 100853, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>Department of Medical Oncology, Chinese PLA General Hospital, Beijing 100853</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Gu, Mancang" sort="Gu, Mancang" uniqKey="Gu M" first="Mancang" last="Gu">Mancang Gu</name><affiliation><nlm:aff id="af1-ijo-55-06-1249">College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 311402</nlm:aff><wicri:noCountry code="subfield">Zhejiang 311402</wicri:noCountry></affiliation></author></analytic><series><title level="j">International Journal of Oncology</title><idno type="ISSN">1019-6439</idno><idno type="eISSN">1791-2423</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>The purpose of the present study was to compare metabolites from formalin-fixed and paraffin-embedded (FFPE) pancreatic tissue blocks with those identified in optimal cutting temperature (OCT)-embedded pancreatic tissue blocks. Thus, ultra-performance liquid chromatograph-mass spectrometry/mass spectrometry-based metabolic profiling was performed in paired frozen (n=13) and FFPE (n=13) human pancreatic adenocarcinoma tissue samples, in addition to their benign counterparts. A total of 206 metabolites were identified in both OCT-embedded and FFPE tissue samples. The method feasibility was confirmed through reproducibility and a consistency assessment. Partial least-squares discriminant analysis and heatmap analysis reliably distinguished tumor and normal tissue phenotypes. The expression of 10 compounds, including N-acetylaspartate and creatinine, was significantly different in both OCT-embedded and FFPE tumor samples. These ten compounds may be viable candidate biomarkers of malignant pancreatic tissues. The super-categories to which they belonged exhibited no significant differences between FFPE and OCT-embedded samples. Furthermore, purine, arginine and proline, and pyrimidine metabolism used a shared pathway found in both OCT-embedded and FFPE tissue samples. These results supported the notion that metabolomic data acquired from FFPE pancreatic cancer specimens are reliable for use in retrospective and clinical studies.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Suzuki, K" uniqKey="Suzuki K">K Suzuki</name></author><author><name sortKey="Takeuchi, O" uniqKey="Takeuchi O">O Takeuchi</name></author><author><name sortKey="Suzuki, Y" uniqKey="Suzuki Y">Y Suzuki</name></author><author><name sortKey="Kitagawa, Y" uniqKey="Kitagawa Y">Y Kitagawa</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Wei, Dm" uniqKey="Wei D">DM Wei</name></author><author><name sortKey="Jiang, Mt" uniqKey="Jiang M">MT Jiang</name></author><author><name sortKey="Lin, P" uniqKey="Lin P">P Lin</name></author><author><name sortKey="Yang, H" uniqKey="Yang H">H Yang</name></author><author><name sortKey="Dang, Yw" uniqKey="Dang Y">YW Dang</name></author><author><name sortKey="Yu, Q" 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Chine</li><li>États-Unis</li></country><settlement><li>Pékin</li></settlement></list><tree><noCountry><name sortKey="Chen, Liping" sort="Chen, Liping" uniqKey="Chen L" first="Liping" last="Chen">Liping Chen</name><name sortKey="Feng, Di" sort="Feng, Di" uniqKey="Feng D" first="Di" last="Feng">Di Feng</name><name sortKey="Gu, Mancang" sort="Gu, Mancang" uniqKey="Gu M" first="Mancang" last="Gu">Mancang Gu</name><name sortKey="Liu, Li" sort="Liu, Li" uniqKey="Liu L" first="Li" last="Liu">Li Liu</name><name sortKey="Qian, Yifan" sort="Qian, Yifan" uniqKey="Qian Y" first="Yifan" last="Qian">Yifan Qian</name><name sortKey="Wu, Yali" sort="Wu, Yali" uniqKey="Wu Y" first="Yali" last="Wu">Yali Wu</name><name sortKey="Zhang, Xu" sort="Zhang, Xu" uniqKey="Zhang X" first="Xu" last="Zhang">Xu Zhang</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Yuan, Jing" sort="Yuan, Jing" uniqKey="Yuan J" first="Jing" last="Yuan">Jing Yuan</name></noRegion><name sortKey="Shi, Yan" sort="Shi, Yan" uniqKey="Shi Y" first="Yan" last="Shi">Yan Shi</name></country><country name="États-Unis"><noRegion><name sortKey="Liu, Qi" sort="Liu, Qi" uniqKey="Liu Q" first="Qi" last="Liu">Qi Liu</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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