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Dataset Information

Unveiling the interplay between mutational signatures and tumor microenvironment: a pan-cancer analysis.


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