| Literature DB >> 27165745 |
David M Roy1, Logan A Walsh2, Alexis Desrichard2, Jason T Huse3, Wei Wu2, JianJiong Gao4, Promita Bose2, William Lee5, Timothy A Chan6.
Abstract
The identification of driver loci underlying arm-level somatic copy number alterations (SCNAs) in cancer has remained challenging and incomplete. Here, we assess the relative impact and present a detailed landscape of arm-level SCNAs in 10,985 patient samples across 33 cancer types from The Cancer Genome Atlas (TCGA). Furthermore, using chromosome 9p loss in lower grade glioma (LGG) as a model, we employ a unique multi-tiered genomic dissection strategy using 540 patients from three independent LGG datasets to identify genetic loci that govern tumor aggressiveness and poor survival. This comprehensive approach uncovered several 9p loss-specific prognostic markers, validated existing ones, and redefined the impact of CDKN2A loss in LGG.Entities:
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Year: 2016 PMID: 27165745 PMCID: PMC4864611 DOI: 10.1016/j.ccell.2016.03.025
Source DB: PubMed Journal: Cancer Cell ISSN: 1535-6108 Impact factor: 31.743