TY - JOUR A1 - Zhu, Yi A1 - Weiss, Tobias A1 - Zhang, Qiushi A1 - Sun, Rui A1 - Wang, Bo A1 - Yi, Xiao A1 - Wu, Zhicheng A1 - Gao, Huanhuan A1 - Cai, Xue A1 - Ruan, Guan A1 - Zhu, Tiansheng A1 - Xu, Chao A1 - Lou, Sai A1 - Yu, Xiaoyan A1 - Gillet, Ludovic A1 - Blattmann, Peter A1 - Saba, Karim A1 - Fankhauser, Christian D. A1 - Schmid, Michael B. A1 - Rutishauser, Dorothea A1 - Ljubicic, Jelena A1 - Christiansen, Ailsa A1 - Fritz, Christine A1 - Rupp, Niels Jan Felix A1 - Poyet, Cedric A1 - Rushing, Elisabeth A1 - Weller, Michael A1 - Roth, Patrick A1 - Haralambieva, Eugenia A1 - Hofer, Silvia A1 - Chen, Chen A1 - Jochum, Wolfram A1 - Gao, Xiaofei A1 - Teng, Xiaodong A1 - Chen, Lirong A1 - Zhong, Qing A1 - Wild, Peter Johannes A1 - Aebersold, Ruedi A1 - Guo, Tiannan T1 - High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification T2 - Molecular oncology N2 - 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 (PC a) and diffuse large B‐cell lymphoma (DLBCL ) samples. We show that the proteome patterns of FFPE PC a tissue samples and their analogous fresh‐frozen (FF ) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PC a 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 PC a and DLBCL have been discovered. KW - biomarker KW - FFPE KW - pressure cycling technology KW - proteome KW - SWATH KW - tumor Y1 - 2019 UR - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/54948 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-549488 SN - 1878-0261 VL - 13 SP - 2305 EP - 2328 PB - John Wiley & Sons, Inc CY - Hoboken, NJ ER -