Coupled immune stratification and identification of therapeutic candidates in patients with lung adenocarcinoma.

ABSTRACT: In recent years, personalized cancer immunotherapy, especially stratification-driven precision treatments have gained significant traction. However, due to the heterogeneity in clinical cohorts, the uncombined analysis of stratification/therapeutics may lead to confusion in determining ideal therapeutic options. We report that the coupled immune stratification and drug repurposing could facilitate identification of therapeutic candidates in patients with lung adenocarcinoma (LUAD). First, we categorized the patients into four groups based on immune gene profiling, associated with distinct molecular characteristics and clinical outcomes. Then, the weighted gene co-expression network analysis (WGCNA) algorithm was used to identify co-expression modules of each groups. We focused on C3 group

SUBMITTER: Hu W 

PROVIDER: S-EPMC7485744 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature