SUMOylation patterns and signature characterize the tumor microenvironment and predict prognosis in lung adenocarcinoma.

ABSTRACT: Background: Recent studies have revealed that SUMOylation modifications are involved in various biological processes, including cancer development and progression. However, the precise role of SUMOylation in lung adenocarcinoma (LUAD), especially in the tumor immune microenvironment, is not yet clear. Methods: We identified SUMOylation patterns by unsupervised consensus clustering based on the expression of SUMOylation regulatory genes. The tumor microenvironment in lung adenocarcinoma was analyzed using algorithms such as GSVA and ssGSEA. Key genes of SUMOylation patterns were screened for developing a SUMOylation scoring model to assess immunotherapy and chemotherapy responses in lung adenocarcinoma patients. Experiments were conducted to validate the differential expressio

SUBMITTER: Chen Z 

PROVIDER: S-EPMC10133499 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature