Therapeutic targets for lung cancer: genome-wide Mendelian randomization and colocalization analyses

Front Pharmacol. 2024 Oct 28:15:1441233. doi: 10.3389/fphar.2024.1441233. eCollection 2024.

Abstract

Background: Lung cancer, categorized into non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), remains a significant global health challenge. The development of drug resistance and the heterogeneity of the disease necessitate the identification of novel therapeutic targets to improve patient outcomes.

Methods: We conducted a genome-wide Mendelian randomization (MR) and colocalization analysis using a comprehensive dataset of 4,302 druggable genes and cis-expressed quantitative trait loci (cis-eQTLs) from 31,884 blood samples. The study integrated genomic analysis with eQTL data to identify key genes associated with lung cancer risk.

Results: The analysis revealed five actionable therapeutic targets for NSCLC, including LTB4R, LTBP4, MPI, PSMA4, and TCN2. Notably, PSMA4 demonstrated a strong association with both NSCLC and SCLC risks, with odds ratios of 3.168 and 3.183, respectively. Colocalization analysis indicated a shared genetic etiology between these gene expressions and lung cancer risk.

Conclusion: Our findings contribute to precision medicine by identifying druggable targets that may be exploited for subtype-specific lung cancer therapies.

Keywords: GWAS; Mendelian randomization; colocalization analyses; drug target; lung cancer.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by The National Natural Science Foundation of China (No. 82002417), and the National Key Program of the Ministry of Science and Technology (No. 2020YFC2004505), and the Medical Scientific Research Foundation of Guangdong Provincial Health Commission (No. A2024060) and the Guangzhou National Laboratory (grant ZL-SRPG2200701 and YW-JCZD0104).