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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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. |
format | Online Article Text |
id | pubmed-6822243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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