2026
conference-abstract
OpenAlex
David Lehotzky, Ron Solan, Antonia Kowalewski, Nick Haradhvala et autres
Abstract Cancer driver genes are oncogenes and tumor suppressor genes whose changes in function or expression promotes tumorigenesis. They are used to study cancer behavior, to classify cancer types, and to guide precision medicine. Cancer driver genes are usually identified by statistical …
us
(code pays fourni par la source)
2026
conference-abstract
OpenAlex
Ryul Kim, Chunyang Bao, Hansol Park, Gang-Hee Lee et autres
Abstract The systematic identification of therapeutically actionable genomic alterations across tumor types is essential to advance precision oncology. Using the CancerVisionTM whole-genome analysis platform, we analyzed >8,000 whole-genome sequencing (WGS) samples spanning more than 30 cancer types to characterize clinically actionable mutations. …
kr, us
(code pays fourni par la source)
2026
conference-abstract
OpenAlex
Ryul Kim, Owen R. Hirschi, Matthew Joseph Leventhal, Chunyang Bao et autres
Abstract The goal of The Cancer Genome Atlas (TCGA) has been to continually characterize the genomic and transcriptomic landscapes across diverse malignancies. In this analysis, we assess matched tumor-normal Whole-Genome Sequencing (WGS) data from a previously sequenced set of adult cancer patients …
us, kr
(code pays fourni par la source)