生物
结直肠癌
癌症研究
计算生物学
遗传学
癌症
基因
细胞培养
表型
突变
免疫学
作者
Anguraj Sadanandam,Alice C. O’Farrell,Ian S. Miller,Hari PS,Adrian Lärkeryd,Tom Venken,Ingrid Arijs,Eugenia Rosalinda Zanella,Francesca Cottino,Marika Pinnelli,Valentina Vurchio,Elena Grassi,Aoife A. Nolan,Niraj Khemka,Michael Fichtner,Gift Nyamundanda,Zak Kinsella,Maxime Meylan,Liam P. Shiels,Colum Connolly
出处
期刊:Cancer Cell
[Cell Press]
日期:2026-10-22
卷期号:44 (11): 2281-2304.e18
被引量:1
标识
DOI:10.1016/j.ccell.2026.09.014
摘要
Microsatellite-stable (MSS) colorectal cancer (CRC) is a molecularly complex and clinically challenging disease subtype, lacking effective targeted therapies. Leveraging multiomic data from ∼2,000 tumor samples (including 316MSS CRCs not previously profiled) representing ∼4,500 molecular profiles and 195,246 single cells/nuclei, we uncover complex biology and therapeutic vulnerabilities. Application of a multiomic-phenomic integrative framework, including iPhenMap (a machine-learning tool), reveals complex molecular programs, including replication stress, right-sided biology, glutaminolysis-driven metabolic reprogramming, and MYC-E2F transcriptional networks governing epigenetic remodeling and perineural invasion. Focusing on RAS-mutant MSS CRC, functional validation in state-of-the-art patient-derived tumoroid and matched xenograft models confirms focal adhesion kinase (FAK), phosphoinositide-dependent kinase (PDK)1/2, and proteasome inhibition as potential therapeutic strategies when combined with mitogen-activated protein kinase (MEK) blockade. This work underscores the power of integrated multiomic profiling and functional modeling to refine potential treatment approaches in MSS CRC patient populations.
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