Application of an angiogenesis-related genes risk model in lung adenocarcinoma prognosis and immunotherapy

Frontiers in Genetics

Genetics

Jian Qin¹  Jinsong Wang²  Tong Wang²  Min Peng²  Jiayan Wei²  Xue Cui²  Peiwei Wang²  Xinyi Chen²  Yiming Weng² 

[1] Central Laboratory, Renmin Hospital, Wuhan University, Wuhan, China;Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China;

关键词: angiogenesis-related genes;    risk model;    lung adenocarcinoma;    prognosis;    immunotherapy;   

DOI  :  10.3389/fgene.2023.1092968

 received in 2022-11-08, accepted in 2023-01-09,  发布年份 2023

来源: Frontiers

【 摘 要 】

Lung adenocarcinoma (LUAD) is an essential pathological subtype of non-small cell lung cancer and offers a severe problem for worldwide public health. There is mounting proof that angiogenesis is a crucial player in LUAD progression. Consequently, the purpose of this research was to construct a novel LUAD risk assessment model based on genetic markers related to angiogenesis. We accessed The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases for LUAD mRNA sequencing data and clinical information. Based on machine algorithms and bioinformatics, angiogenic gene-related risk scores (RS) were calculated. Patients in the high-risk category had a worse prognosis (p < 0.001) in the discovery TCGA cohort, and the results were confirmed by these three cohorts (validation TCGA cohort, total TCGA cohort, and GSE68465 cohort). Moreover, risk scores for genes involved in angiogenesis were independent risk factors for lung cancer in all four cohorts. The low-risk group was associated with better immune status and lower tumor mutational load. In addition, the somatic mutation study revealed that the low-risk group had a lower mutation frequency than the high-risk group. According to an analysis of tumor stem cell infiltration, HLA expression, and TIDE scores, the low-risk group had higher TIDE scores and HLA expression levels than the high-risk group, and the amount of tumor stem cell infiltration correlated with the risk score. In addition, high-risk groups may benefit from immune checkpoint inhibitors and targeted therapies. In conclusion, we developed an angiogenesis-related gene risk model to predict the prognosis of LUAD patients, which may aid in the classification of patients with LUAD and select medications for LUAD patients.

【 授权许可】

Unknown   
Copyright © 2023 Wang, Cui, Weng, Wei, Chen, Wang, Wang, Qin and Peng.