类有机物
癌变
生物
癌症研究
计算生物学
遗传学
癌症
作者
Ameen A. Salahudeen,José Seoane,Kanako Yuki,Amanda T. Mah,Amber Rae Smith,Kevin S. Kolahi,Sean de la O,Daniel J. Hart,Jie Ding,Zhicheng Ma,Sammy Barkal,Navika Shukla,Chuck Zhang,Michael A. Cantrell,Arpit Batish,Tatsuya Usui,David E. Root,William C. Hahn,Christina Curtis,Calvin J. Kuo
出处
期刊:Cell Reports
[Elsevier]
日期:2023-11-01
卷期号:42 (11): 113355-113355
标识
DOI:10.1016/j.celrep.2023.113355
摘要
Somatic copy number gains are pervasive across cancer types, yet their roles in oncogenesis are insufficiently evaluated. This inadequacy is partly due to copy gains spanning large chromosomal regions, obscuring causal loci. Here, we employed organoid modeling to evaluate candidate oncogenic loci identified via integrative computational analysis of extreme copy gains overlapping with extreme expression dysregulation in The Cancer Genome Atlas. Subsets of “outlier” candidates were contextually screened as tissue-specific cDNA lentiviral libraries within cognate esophagus, oral cavity, colon, stomach, pancreas, and lung organoids bearing initial oncogenic mutations. Iterative analysis nominated the kinase DYRK2 at 12q15 as an amplified head and neck squamous carcinoma oncogene in p53−/− oral mucosal organoids. Similarly, FGF3, amplified at 11q13 in 41% of esophageal squamous carcinomas, promoted p53−/− esophageal organoid growth reversible by small molecule and soluble receptor antagonism of FGFRs. Our studies establish organoid-based contextual screening of candidate genomic drivers, enabling functional evaluation during early tumorigenesis.
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