A novel prognostic signature of metastasis-associated genes and personalized therapeutic strategy for lung adenocarcinoma patients.

ABSTRACT: Lung adenocarcinoma (LUAD) is a highly invasive and metastatic malignant tumor with high morbidity and mortality. This study aimed to construct a prognostic signature for LUAD patients based on metastasis-associated genes (MAGs). RNA expression profiles were downloaded from the Cancer Genome Atlas (TCGA) database. RRA method was applied to identify differentially expressed MAGs. A total of 192 significantly robust MAGs were determined among seven GEO datasets. MAGs were initially selected through the Lasso Cox regression analysis and 6 MAGs were included to construct a prognostic signature model. Transcriptome profile, patient prognosis, correlation between the risk score and clinicopathological features, immune cell infiltration characteristics, immunotherapy sensitivity and chemotherapy

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9320549 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature