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High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification

Formalin‐fixed, paraffin‐embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prosta...

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Autores principales: Zhu, Yi, Weiss, Tobias, Zhang, Qiushi, Sun, Rui, Wang, Bo, Yi, Xiao, Wu, Zhicheng, Gao, Huanhuan, Cai, Xue, Ruan, Guan, Zhu, Tiansheng, Xu, Chao, Lou, Sai, Yu, Xiaoyan, Gillet, Ludovic, Blattmann, Peter, Saba, Karim, Fankhauser, Christian D., Schmid, Michael B., Rutishauser, Dorothea, Ljubicic, Jelena, Christiansen, Ailsa, Fritz, Christine, Rupp, Niels J., Poyet, Cedric, Rushing, Elisabeth, Weller, Michael, Roth, Patrick, Haralambieva, Eugenia, Hofer, Silvia, Chen, Chen, Jochum, Wolfram, Gao, Xiaofei, Teng, Xiaodong, Chen, Lirong, Zhong, Qing, Wild, Peter J., Aebersold, Ruedi, Guo, Tiannan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822243/
https://www.ncbi.nlm.nih.gov/pubmed/31495056
http://dx.doi.org/10.1002/1878-0261.12570
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author Zhu, Yi
Weiss, Tobias
Zhang, Qiushi
Sun, Rui
Wang, Bo
Yi, Xiao
Wu, Zhicheng
Gao, Huanhuan
Cai, Xue
Ruan, Guan
Zhu, Tiansheng
Xu, Chao
Lou, Sai
Yu, Xiaoyan
Gillet, Ludovic
Blattmann, Peter
Saba, Karim
Fankhauser, Christian D.
Schmid, Michael B.
Rutishauser, Dorothea
Ljubicic, Jelena
Christiansen, Ailsa
Fritz, Christine
Rupp, Niels J.
Poyet, Cedric
Rushing, Elisabeth
Weller, Michael
Roth, Patrick
Haralambieva, Eugenia
Hofer, Silvia
Chen, Chen
Jochum, Wolfram
Gao, Xiaofei
Teng, Xiaodong
Chen, Lirong
Zhong, Qing
Wild, Peter J.
Aebersold, Ruedi
Guo, Tiannan
author_facet Zhu, Yi
Weiss, Tobias
Zhang, Qiushi
Sun, Rui
Wang, Bo
Yi, Xiao
Wu, Zhicheng
Gao, Huanhuan
Cai, Xue
Ruan, Guan
Zhu, Tiansheng
Xu, Chao
Lou, Sai
Yu, Xiaoyan
Gillet, Ludovic
Blattmann, Peter
Saba, Karim
Fankhauser, Christian D.
Schmid, Michael B.
Rutishauser, Dorothea
Ljubicic, Jelena
Christiansen, Ailsa
Fritz, Christine
Rupp, Niels J.
Poyet, Cedric
Rushing, Elisabeth
Weller, Michael
Roth, Patrick
Haralambieva, Eugenia
Hofer, Silvia
Chen, Chen
Jochum, Wolfram
Gao, Xiaofei
Teng, Xiaodong
Chen, Lirong
Zhong, Qing
Wild, Peter J.
Aebersold, Ruedi
Guo, Tiannan
author_sort Zhu, Yi
collection PubMed
description Formalin‐fixed, paraffin‐embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B‐cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh‐frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered.
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spelling pubmed-68222432019-11-06 High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification Zhu, Yi Weiss, Tobias Zhang, Qiushi Sun, Rui Wang, Bo Yi, Xiao Wu, Zhicheng Gao, Huanhuan Cai, Xue Ruan, Guan Zhu, Tiansheng Xu, Chao Lou, Sai Yu, Xiaoyan Gillet, Ludovic Blattmann, Peter Saba, Karim Fankhauser, Christian D. Schmid, Michael B. Rutishauser, Dorothea Ljubicic, Jelena Christiansen, Ailsa Fritz, Christine Rupp, Niels J. Poyet, Cedric Rushing, Elisabeth Weller, Michael Roth, Patrick Haralambieva, Eugenia Hofer, Silvia Chen, Chen Jochum, Wolfram Gao, Xiaofei Teng, Xiaodong Chen, Lirong Zhong, Qing Wild, Peter J. Aebersold, Ruedi Guo, Tiannan Mol Oncol Research Articles Formalin‐fixed, paraffin‐embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B‐cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh‐frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered. John Wiley and Sons Inc. 2019-09-18 2019-11 /pmc/articles/PMC6822243/ /pubmed/31495056 http://dx.doi.org/10.1002/1878-0261.12570 Text en © 2019 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhu, Yi
Weiss, Tobias
Zhang, Qiushi
Sun, Rui
Wang, Bo
Yi, Xiao
Wu, Zhicheng
Gao, Huanhuan
Cai, Xue
Ruan, Guan
Zhu, Tiansheng
Xu, Chao
Lou, Sai
Yu, Xiaoyan
Gillet, Ludovic
Blattmann, Peter
Saba, Karim
Fankhauser, Christian D.
Schmid, Michael B.
Rutishauser, Dorothea
Ljubicic, Jelena
Christiansen, Ailsa
Fritz, Christine
Rupp, Niels J.
Poyet, Cedric
Rushing, Elisabeth
Weller, Michael
Roth, Patrick
Haralambieva, Eugenia
Hofer, Silvia
Chen, Chen
Jochum, Wolfram
Gao, Xiaofei
Teng, Xiaodong
Chen, Lirong
Zhong, Qing
Wild, Peter J.
Aebersold, Ruedi
Guo, Tiannan
High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification
title High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification
title_full High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification
title_fullStr High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification
title_full_unstemmed High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification
title_short High‐throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification
title_sort high‐throughput proteomic analysis of ffpe tissue samples facilitates tumor stratification
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822243/
https://www.ncbi.nlm.nih.gov/pubmed/31495056
http://dx.doi.org/10.1002/1878-0261.12570
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