变化(天文学)
癌症
癌症研究
生物
医学
癌细胞
肿瘤科
突变
基因
计算生物学
肿瘤细胞
细胞
生物信息学
内科学
作者
Chaitanya Bandlamudi,Daniel M. Muldoon,Ino de Bruijn,Mingxuan Zhang,Michael V. Gormally,Emily C. Harrold,Subhiksha Nandakumar,Shaleigh Smith,Mark Jeng,Sydney Woods,Kanika Arora,Walid K. Chatila,Bastien Nguyen,Henry Walch,Jun Hee Woo,Craig M. Bielski,Christopher Fong,Thinh N. Tran,Gaofei Zhao,Miika Mehine
出处
期刊:Cancer Cell
[Cell Press]
日期:2026-03-26
卷期号:44 (5): 1045-1062.e6
被引量:1
标识
DOI:10.1016/j.ccell.2026.03.003
摘要
The oncogenic impact of somatic driver alterations is shaped by tissue context. Classifying alterations by cancer type and evaluating their context-specific properties requires large cohorts of genomically profiled and clinically annotated tumors. Here, we define cancer type-specific patterns of driver alterations, including 164 newly identified hotspots, in 54,331 tumors from 48,179 patients spanning 448 histological cancer subtypes. One-third of all drivers arose in non-canonical contexts and exhibited distinct features, including increased subclonality, later emergence, and divergent biological properties. Within cancer types, gene fusions and other distinct patterns of co-occurring drivers are indicative of earlier age of disease onset. We also identify ancestry-specific differences in human leukocyte antigen (HLA)-restricted driver neoantigens affecting T cell receptor therapy eligibility, and demonstrate cancer-type-specific patterns of intrinsic resistance via somatic HLA loss. Our findings highlight that functional roles of driver alterations depend on the cancer types and clinical contexts in which they arise.
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