A combination of intrinsic and extrinsic features improves prognostic prediction in malignant pleural mesothelioma.

ABSTRACT:

Background

Malignant pleural mesothelioma (MPM) is a lung pleural cancer with very poor disease outcome. With limited curative MPM treatment available, it is vital to study prognostic biomarkers to categorise different patient risk groups.

Methods

We defined gene signatures to separately characterise intrinsic and extrinsic features, and investigated their interactions in MPM tumour samples. Specifically, we calculated gene signature scores to capture the downstream pathways of major mutated driver genes (BAP1, NF2, SETD2 and TP53) as tumour-intrinsic features. Similarly, we inferred the infiltration levels for major immune cells in the tumour microenvironment to characterise tumour-extrinsic features. Lastly, we integrated these features with clinical factors to predict pro

SUBMITTER: Nguyen TT 

PROVIDER: S-EPMC9596423 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature