Pan-cancer proteogenomics connects oncogenic drivers to functional statesA multi-omics analysis-based resource across ten cancer types from more than 1,000 patients provides pan-cancer insights into shared oncogenic driver mechanisms and pathways.A multi-omics analysis-based resource across ten cancer types from more than 1,000 patients provides pan-cancer insights into shared oncogenic driver mechanisms and pathways.Yize Li, Eduard Porta-Pardo, Collin Tokheim, Matthew H. Bailey, Tomer M. Yaron, Vasileios Stathias, Yifat Geffen, Kathleen J. Imbach, Song Cao, Shankara Anand, Yo Akiyama, Wenke Liu, Matthew A. Wyczalkowski, Yizhe Song, Erik P. Storrs, Michael C. Wendl, Wubing Zhang, Mustafa Sibai, Victoria Ruiz-Serra, Wen-Wei Liang, Nadezhda V. Terekhanova, Fernanda Martins Rodrigues, Karl R. Clauser, David I. Heiman, Qing Zhang, Francois Aguet, Anna P. Calinawan, Saravana M. Dhanasekaran, Chet Birger, Shankha Satpathy, Daniel Cui Zhou, Liang-Bo Wang, Jessika Baral, Jared L. Johnson, Emily M. Huntsman, Pietro Pugliese, Antonio Colaprico, Antonio Iavarone, Milan G. Chheda, Christopher J. Ricketts, David Fenyö, Samuel H. Payne, Henry Rodriguez, Ana I. Robles, Michael A. Gillette, Chandan Kumar-Sinha, Alexander J. Lazar, Lewis C. Cantley, Gad Getz, Li Ding, Clinical Proteomic Tumor Analysis Consortiumhttps://www.cell.com/cell/fulltext/S0092-8674(23)00780-8?rss=yeshttp://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignAugust 15, 2023

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