Establishment of a Prognostic Model of Lung Adenocarcinoma Based on Tumor Heterogeneity.

ABSTRACT: Lung cancer is one of the main cancer types due to its persistently high incidence and mortality, yet a simple and effective prognostic model is still lacking. This study aimed to identify independent prognostic genes related to the heterogeneity of lung adenocarcinoma (LUAD), generate a prognostic risk score model, and construct a nomogram in combination with other pathological characteristics to predict patients' overall survival (OS). A significant amount of data pertaining to single-cell RNA sequencing (scRNA-seq), RNA sequencing (RNA-seq), and somatic mutation were used for data mining. After statistical analyses, a risk scoring model was established based on eight independent prognostic genes, and the OS of high-risk patients was significantly lower than that of low-risk patients. In

SUBMITTER: Zheng P 

PROVIDER: S-EPMC9035852 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature