Prognostic alternative splicing events related splicing factors define the tumor microenvironment and pharmacogenomic landscape in lung adenocarcinoma.

ABSTRACT:

Background

Recent studies identified correlations between splicing factors (SFs) and tumor progression and therapy. However, the potential roles of SFs in immune regulation and the tumor microenvironment (TME) remain unknown.

Methods

We used UpSet plots to screen for prognostic-related alternative splicing (AS) events. We evaluated SF patterns in specific immune landscapes. Single sample gene set enrichment analysis (ssGSEA) algorithms were used to quantify relative infiltration levels in immune cell subsets. Principal component analysis (PCA) algorithm-based SFscore were used to evaluate SF patterns in individual tumors with an immune response.

Results

From prognosis-related AS events, 16 prognosis-related SFs were selected to construct three SF patterns. Further TME

SUBMITTER: Liu J 

PROVIDER: S-EPMC9467413 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature