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

Author:

Zhu Yi123ORCID,Weiss Tobias4ORCID,Zhang Qiushi12ORCID,Sun Rui12ORCID,Wang Bo5,Yi Xiao12ORCID,Wu Zhicheng12,Gao Huanhuan12ORCID,Cai Xue12ORCID,Ruan Guan12ORCID,Zhu Tiansheng12ORCID,Xu Chao6,Lou Sai7,Yu Xiaoyan8,Gillet Ludovic3ORCID,Blattmann Peter3ORCID,Saba Karim9ORCID,Fankhauser Christian D.9ORCID,Schmid Michael B.9,Rutishauser Dorothea10,Ljubicic Jelena10,Christiansen Ailsa10,Fritz Christine10,Rupp Niels J.10,Poyet Cedric9,Rushing Elisabeth11,Weller Michael4,Roth Patrick4,Haralambieva Eugenia10,Hofer Silvia12,Chen Chen13,Jochum Wolfram14,Gao Xiaofei12,Teng Xiaodong5,Chen Lirong8,Zhong Qing1015ORCID,Wild Peter J.1016,Aebersold Ruedi317,Guo Tiannan123ORCID

Affiliation:

1. Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Hangzhou China

2. Institute of Basic Medical Sciences Westlake Institute for Advanced Study Hangzhou China

3. Department of Biology Institute of Molecular Systems Biology ETH Zurich Switzerland

4. Department of Neurology and Brain Tumor Center University Hospital Zurich University of Zurich Switzerland

5. Department of Pathology The First Affiliated Hospital of College of Medicine Zhejiang University Hangzhou China

6. College of Mathematics and Informatics Digital Fujian Institute of Big Data Security Technology Fujian Normal University Fuzhou China

7. Phase I Clinical Research Center Zhejiang Provincial People's Hospital Hangzhou China

8. Department of Pathology The Second Affiliated Hospital of College of Medicine Zhejiang University Hangzhou China

9. Department of Urology University Hospital Zurich University of Zurich Switzerland

10. Department of Pathology and Molecular Pathology University Hospital Zurich University of Zurich Switzerland

11. Department of Neuropathology University Hospital Zurich University of Zurich Switzerland

12. Division of Medical Oncology Lucerne Cantonal Hospital and Cancer Center Switzerland

13. Sciex Shanghai China

14. Institute of Pathology Cantonal Hospital St. Gallen Switzerland

15. Children's Medical Research Institute University of Sydney Australia

16. Dr. Senckenberg Institute of Pathology University Hospital Frankfurt Frankfurt am Main Germany

17. Faculty of Science University of Zurich Switzerland

Abstract

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.

Funder

H2020 European Research Council

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

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