Pan-cancer application of a lung-adenocarcinoma-derived gene-expression-based prognostic predictor.

ABSTRACT: Gene-expression profiling can be used to classify human tumors into molecular subtypes or risk groups, representing potential future clinical tools for treatment prediction and prognostication. However, it is less well-known how prognostic gene signatures derived in one malignancy perform in a pan-cancer context. In this study, a gene-rule-based single sample predictor (SSP) called classifier for lung adenocarcinoma molecular subtypes (CLAMS) associated with proliferation was tested in almost 15 000 samples from 32 cancer types to classify samples into better or worse prognosis. Of the 14 malignancies that presented both CLAMS classes in sufficient numbers, survival outcomes were significantly different for breast, brain, kidney and liver cancer. Patients with samples classified as better

SUBMITTER: Nacer DF 

PROVIDER: S-EPMC8574611 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature