ENDOPLASMIC RETICULUM STRESS-RELATED GENES CONSTRUCT A RISK SCORE AND PROGNOSTIC MODEL FOR SQUAMOUS LUNG CANCER IN FEMALE PLAYERS

Abstract

Objective To investigate the prognostic impact of endoplasmic reticulum stress-related genes on lung squamous carcinoma. Methods Gene expression data were obtained from the TCGA database, and prognostic models were constructed by LASSO-COX analysis. Gene expression data were obtained from the TCGA database and prognostic models were constructed by LASSO-COX analysis. Immunohistochemistry was performed to validate the gene expression. Subtypes were obtained by clustering analysis and correlation analysis of subtypes was performed. The accuracy of the model was reflected by Monogram. Result Endoplasmic reticulum stress-related genes LRRK2 and WFS1 constructed the prognostic model. the ROC curve was 0.584 at -1 year, 0.598 at 2 years and 0.603 at 3 years. The risk score constructed from the prognostic model was an independent predictor of overall survival and influenced the tumor microenvironment as well as drug sensitivity. Conclusions Endoplasmic reticulum stress-related genes can be used to predict the prognosis and influence the immune status of squamous lung cancer, and modulating the expression of these genes is a potential therapeutic option.