The pan-cancer proteome atlas, a mass spectrometry-based landscape for discovering tumor biology, biomarkers, and therapeutic targets

C. Knol, Jaco; Lyu, Mengge; Böttger, Franziska; Monteiro, Madalena; V. Pham, Thang; Rolfs, Frank; Vallés‐Martí, Andrea; Schelfhorst, Tim; R. de Goeij‐de Haas, Richard; V. Bijnsdorp, Irene; Wang, Shuaiyao; Zhang, Fangfei; Arita, Jun; A. Westerman, Bart; Sitek, Barbara; Lehtiö, Janne; Köster, Jan; N.M. IJzermans, Jan; W. M. van Laarhoven, Hanneke; F. Bijlsma, Maarten; Paul Medema, Jan; A. Henneman, Alex; R. Piersma, Sander; H. Brakenhoff, Ruud; Cloos, Jacqueline; Cordo’, Valentina; de Jong, Daphne; Kazemier, Geert; Koppers‐Lalic, Danijela; Labots, Mariëtte; Y. S. Le Large, Tessa; W.M. Martens, John; P.P. Meijerink, Jules; Mumtaz, Madiha; Scheepbouwer, Chantal; E. Kibbelaar, Robby; P. Noske, David; D.M. Steenbergen, Renske; C.T. van Grieken, Nicole; J. van Houdt, Winan; Giovannetti, Elisa; J.L.H. van Leenders, Geert; Jonkers, Jos; Liu, Tong; Yan, Meisi; Zhan, Xiaolu; Guo, Tiannan; R. Jiménez, Connie

doi:10.1016/j.ccell.2025.05.003

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The pan-cancer proteome atlas, a mass spectrometry-based landscape for discovering tumor biology, biomarkers, and therapeutic targets

Published in Cancer Cell • May 29, 2025

Authors:

Jaco C. Knol

Mengge Lyu

Franziska Böttger

Abstract

Most cancer proteomics studies to date have focused on a single cancer type. We report The Pan-Cancer Proteome Atlas (TPCPA) based on data-independent acquisition mass spectrometry, to better understand cancer biology and identify therapeutic targets and biomarkers. TPCPA includes 9,670 proteins der...

Subject

Proteome

Computational biology

Proteomics

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