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- W4366144498 endingPage "566" @default.
- W4366144498 startingPage "554" @default.
- W4366144498 abstract "Cancer cells accumulate many genetic alterations throughout their lifetime, but only a few of them drive cancer progression, termed driver mutations. Driver mutations may vary between cancer types and patients, can remain latent for a long time and become drivers at particular cancer stages, or may drive oncogenesis only in conjunction with other mutations. The high mutational, biochemical, and histological tumor heterogeneity makes driver mutation identification very challenging. In this review we summarize recent efforts to identify driver mutations in cancer and annotate their effects. We underline the success of computational methods to predict driver mutations in finding novel cancer biomarkers, including in circulating tumor DNA (ctDNA). We also report on the boundaries of their applicability in clinical research." @default.
- W4366144498 created "2023-04-19" @default.
- W4366144498 creator A5017415943 @default.
- W4366144498 creator A5055860373 @default.
- W4366144498 creator A5089548776 @default.
- W4366144498 date "2023-07-01" @default.
- W4366144498 modified "2023-10-03" @default.
- W4366144498 title "Cancer driver mutations: predictions and reality" @default.
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