Ontology highlight
ABSTRACT: Background
While recent studies have separately explored mutational signatures and the tumor microenvironment (TME), there is limited research on the associations of both factors in a pan-cancer context.Materials and methods
We performed a pan-cancer analysis of over 8,000 tumor samples from The Cancer Genome Atlas (TCGA) project. Machine learning methods were employed to systematically explore the relationship between mutational signatures and TME and develop a risk score based on TME-associated mutational signatures to predict patient survival outcomes. We also constructed an interaction model to explore how mutational signatures and TME interact and influence cancer prognosis.Results
Our analysis revealed a varied association between mutational signatures and TME
SUBMITTER: Luo LZ
PROVIDER: S-EPMC10239828 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature