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

被引:0
|
作者
Luan, Yi [1 ,2 ]
Xian, Desheng [3 ,4 ]
Zhao, Changwen [3 ,4 ]
Qing, Xin [5 ]
He, Hanlin [1 ,6 ]
Zheng, Kaixuan [1 ,7 ]
Song, Wenjun [1 ]
Jiang, Taijiao [1 ,8 ]
Wang, Wenjian [9 ,10 ,11 ]
Duan, Chaohui [1 ,10 ]
机构
[1] Sun Yat Sen Mem Hosp, Dept Guangzhou Natl Lab, Lab Testing & Diag Technol, Clin Lab, Guangzhou, Guangdong, Peoples R China
[2] Shanghai Tech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China
[3] Univ Chem Technol, State Key Lab Chem Resource Engn, Key Lab Biomed Mat Nat Macromol, Minist Educ, Beijing, Peoples R China
[4] Univ Chem Technol, Beijing Lab Biomed Mat, Key Lab Biomed Mat Nat Macromol, Minist Educ, Beijing, Peoples R China
[5] Sichuan Univ, Westchina Hosp, Chengdu, Peoples R China
[6] Guangzhou Med Univ, Guangzhou, Guangdong, Peoples R China
[7] Sun Yat Sen Univ, Sch Life Sci, Guangzhou, Guangdong, Peoples R China
[8] Guangzhou Med Univ, Affiliated Hosp 1, Key Lab Adv Interdisciplinary Studies Ctr, State Key Lab Resp Dis, Guangzhou, Guangdong, Peoples R China
[9] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Dept Thorac Surg, Guangzhou, Guangdong, Peoples R China
[10] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Guangdong Prov Key Lab Malignant Tumor Epigenet &, Guangzhou, Peoples R China
[11] Sun Yat Sen Univ, Sun Yat Sen Mem Hosp, Shenshan Med Ctr, Dept Thorac Surg, Shanwei, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
lung cancer; drug target; Mendelian randomization; GWAS; colocalization analyses; PROVIDES GENETIC INSIGHTS; ASSOCIATION;
D O I
10.3389/fphar.2024.1441233
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
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.
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页数:8
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