Genetic imputation of lung cancer transcriptome,proteome and multiomics illuminates new therapeutic targets
- VernacularTitle:基于转录组和蛋白质组等多组学的遗传推断探究肺癌潜在治疗靶点
- Author:
Jian-le YANG
1
;
Ting-yang LI
;
Wen-feng GOU
;
Bing-xiao ZHANG
;
Yi-liang LI
;
Wen-bin HOU
Author Information
- Publication Type:Journal Article
- Keywords: lung cancer; multiomics; Mendelian ran-domization(MR); therapeutic targets; proteomics; pan-cancer analysis
- From: Chinese Pharmacological Bulletin 2025;41(6):1064-1071
- CountryChina
- Language:Chinese
- Abstract: Aim To infer novel therapeutic and phar-macological targets related to lung cancer treatment through multiomics approaches,so as to provide new directions for developing more personalized and effec-tive treatment strategies.Methods Genome-wide as-sociation study(GWAS)data analysis,pan-cancer,single-cell,transcriptomics,and protein-protein interac-tion analysis were employed in this study.Results We analyzed biomarkers and therapeutic targets associ-ated with lung cancer.The study identified key bio-markers closely related to lung cancer progression and explored the interrelationships between these biomark-ers and viral infections.According to KEGG pathway annotation,the number of genes related to metabolic processes increased significantly.In particular,metab-olites such as alanine and isoleucine emerged as pivotal factors in therapeutic interventions.The IgD+CD24+and IgD+CD24-B cell subsets were identified as cen-tral elements in immune evasion and treatment re-sponse.Concurrently,the Lachnospiraceae and Prevo-tella were shown to modulate host immune responses and the tumor microenvironment by regulating short-chain fatty acid levels,thereby opening novel avenues for cancer research.Conclusions Through mul-tiomics analysis combined with transcriptomics and pro-teomics analysis,we identify several potential therapeu-tic targets for lung cancer,providing key insights for developing novel treatment strategies.
