Immunotherapy response and microenvironment provide biomarkers of immunotherapy options for patients with lung adenocarcinoma

ABSTRACT: Background: Immunotherapy has been a promising approach option for lung cancer. Method: All the open-accessed data was obtained from the Cancer Genome Atlas (TCGA) database. All the analysis was conducted using the R software analysis. Results: Firstly, the genes differentially expressed in lung cancer immunotherapy responders and non-responders were identified. Then, the lung adenocarcinoma immunotherapy-related genes were determined by LASSO logistic regression and SVM-RFE, respectively. A total of 18 immunotherapy response-related genes were included in our investigation. Subsequently, we constructed the logistics score model. Patients with high logistics score had a better clinical effect on immunotherapy, with 63.2% of patients responding to immunotherapy, while only 12.1% of patients

SUBMITTER: Zhan X 

PROVIDER: S-EPMC9640754 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature