The value of metabolic LncRNAs in predicting prognosis and immunotherapy efficacy of gastric cancer.

ABSTRACT:

Introduction

As a unique feature of malignant tumors, abnormal metabolism can regulate the immune microenvironment of tumors. However, the role of metabolic lncRNAs in predicting the prognosis and immunotherapy of gastric cancer (GC) has not been explored.

Methods

We downloaded the metabolism-related genes from the GSEA website and identified the metabolic lncRNAs. Co-expression analysis and Lasso Cox regression analysis were utilized to construct the risk model. To value the reliability and sensitivity of the model, Kaplan-Meier analysis and receiver operating characteristic curves were applied. The immune checkpoints, immune cell infiltration and tumor mutation burden of low- and high-risk groups were compared. Tumor Immune Dysfunction and Exclusion (TIDE) score was conduc

SUBMITTER: Du P 

PROVIDER: S-EPMC9845566 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature