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通过整合可药物基因组和全基因组关联数据揭示肺鳞状细胞癌的潜在药物靶点。

Unveiling potential drug targets for lung squamous cell carcinoma through the integration of druggable genome and genome-wide association data.

作者信息

Wu Wenhua, Chen Zhengrui, Wen Haiteng, Zhang Haiyun

机构信息

The Second Clinical Medical College, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Department of Pulmonary and Critical Care Medicine, Zhujiang Hosptial, Southern Medical University, Guangzhou, Guangdong, China.

出版信息

Front Genet. 2024 Aug 8;15:1431684. doi: 10.3389/fgene.2024.1431684. eCollection 2024.

Abstract

Lung squamous cell carcinoma (LSCC) is a major subtype of lung cancer with poor prognosis and low survival rate. Compared with lung adenocarcinoma, yet no FDA-approved targeted-therapy has been found for lung squamous cell carcinoma. To identify potential drug targets for LSCC, Summary-data-based Mendelian randomization (SMR) analysis was used to examine the potential association between 4,543 druggable genes and LSCC, followed by colocalization analysis and HEIDI tests to confirm the robustness of the result. Phenome-wide association study (PheWAS) explored potential side effects of candidate drug targets. Enrichment analysis and protein-protein interaction networks revealed the function and significance of therapeutic targets. Single-cell expression analysis was used to examine cell types with enrichment expression of druggable genes in LSCC tissue. Drug prediction included screening potential drug candidates and evaluating their interactions with targets through molecular docking. This research has identified ten significant drug targets for LSCC through a comprehensive SMR analysis. These targets included (COPA, PKD2L1, CCR1, C2, CYP21A2, and NCSTN as risk factors, and CCNA2, C4A, APOM, and LPAR2 as protective factors). PheWAS demonstrated that C2, CCNA2, LPAR2, and NCSTN exhibited associations with other phenotypes at the genetic level. Then, we found four potentially effective drugs with the Dsigdb database. Subsequently, molecular docking indicated that favorable binding interactions between drug candidates and potential target molecules. In the druggability evaluation, five out of ten drug target genes have been used in drug development (APOM, C4A, CCNA2, COPA, and PKD2L1). Six out of ten druggable genes showed significant expression in LSCC tissues (COPA, PKD2L1, CCR1, C2, NCSTN, LPAR2). Besides, Single-cell expression analysis revealed that C2 and CCNA2 were primarily enriched in macrophages, while COPA and NCSTN were enriched in both macrophages and epithelial cells. Our research revealed ten potential druggable genes for LSCC treatment, which might help to advance the precise and efficient therapeutic approaches of LSCC.

摘要

肺鳞状细胞癌(LSCC)是肺癌的一种主要亚型,预后较差,生存率低。与肺腺癌相比,尚未发现美国食品药品监督管理局(FDA)批准的针对肺鳞状细胞癌的靶向治疗方法。为了确定LSCC的潜在药物靶点,基于汇总数据的孟德尔随机化(SMR)分析用于检验4543个可药物化基因与LSCC之间的潜在关联,随后进行共定位分析和HEIDI检验以确认结果的稳健性。全表型关联研究(PheWAS)探索了候选药物靶点的潜在副作用。富集分析和蛋白质-蛋白质相互作用网络揭示了治疗靶点的功能和意义。单细胞表达分析用于检查LSCC组织中可药物化基因富集表达的细胞类型。药物预测包括筛选潜在的候选药物,并通过分子对接评估它们与靶点的相互作用。这项研究通过全面的SMR分析确定了十个针对LSCC的重要药物靶点。这些靶点包括(COPA、PKD2L1、CCR1、C2、CYP21A2和NCSTN作为危险因素,CCNA2、C4A、APOM和LPAR2作为保护因素)。PheWAS表明,C2、CCNA2、LPAR2和NCSTN在基因水平上与其他表型存在关联。然后,我们在Dsigdb数据库中发现了四种潜在有效的药物。随后,分子对接表明候选药物与潜在靶分子之间存在良好的结合相互作用。在药物可及性评估中,十个药物靶点基因中有五个已用于药物开发(APOM、C4A、CCNA2、COPA和PKD2L1)。十个可药物化基因中有六个在LSCC组织中表现出显著表达(COPA、PKD2L1、CCR1、C2、NCSTN、LPAR2)。此外,单细胞表达分析显示,C2和CCNA2主要富集于巨噬细胞,而COPA和NCSTN则富集于巨噬细胞和上皮细胞。我们的研究揭示了十个用于LSCC治疗的潜在可药物化基因,这可能有助于推进LSCC的精准高效治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c13/11338847/b8a6696acc87/fgene-15-1431684-g001.jpg

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