Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning.

ABSTRACT: Cancer is one of the leading causes of death worldwide and can be caused by environmental aspects (for example, exposure to asbestos), by human behavior (such as smoking), or by genetic factors. To understand which genes might be involved in patients' survival, researchers have invented prognostic genetic signatures: lists of genes that can be used in scientific analyses to predict if a patient will survive or not. In this study, we joined together five different prognostic signatures, each of them related to a specific cancer type, to generate a unique pan-cancer prognostic signature, that contains 207 unique probesets related to 187 unique gene symbols, with one particular probeset present in two cancer type-specific signatures (203072_at related to the MYO1E gene). We applied our propos

SUBMITTER: Chicco D 

PROVIDER: S-EPMC9632055 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature