Identification and experimental verification of an anoikis and immune related signature in prognosis for lung adenocarcinoma.

ABSTRACT:

Background

Both metastasis and immune resistance are huge obstacle in lung adenocarcinoma (LUAD) treatment. Multiple studies have shown that the ability of tumor cells to resist anoikis is closely related to the metastasis of tumor cells.

Methods

In this study, the risk prognosis signature related to anoikis and immune related genes (AIRGs) was constructed by cluster analysis and the least absolute shrinkage and selection operator (LASSO) regression by using The Cancer Genome Atlas (TCGA) Program and the Gene Expression Omnibus (GEO) database. Kaplan-Meier (K-M) curve described the prognosis in the different groups. Receiver operating characteristic (ROC) was applied to evaluate the sensitivity of this signature. Principal component analysis (PCA), t-distributed stochastic n

SUBMITTER: Zhang JL 

PROVIDER: S-EPMC10174758 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature