通过整合人血浆蛋白质组与基因组鉴定四种位点特异性癌症的潜在药物靶点

IF 3.1 3区 医学 Q2 CHEMISTRY, ANALYTICAL Journal of pharmaceutical and biomedical analysis Pub Date : 2025-06-15 Epub Date: 2025-02-06 DOI:10.1016/j.jpba.2025.116731
Zhangjun Yun , Zhu Liu , Ziyi Sun , Xiang Yan , Qianru Yang , Shaodan Tian , Xiao Li , Li Hou
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引用次数: 0

摘要

有基因证据支持的药物靶点在临床试验中成功率高几倍。我们进行了一项全面的蛋白质组孟德尔随机化(MR)分析,以确定四种部位特异性癌症的致病蛋白和潜在治疗靶点。共利用4853种血浆蛋白的13248个蛋白数量性状位点进行蛋白质组级MR分析。在发现队列中鉴定癌症致病蛋白,并在复制队列中进一步验证。进行共定位、基于汇总数据的MR (SMR)分析和转录组全关联研究(TWAS)来检查候选蛋白的准确性。两步磁共振分析探讨血浆蛋白介导的248个可改变因子对癌症的影响。全现象MR (Phe-MR)分析、药物性评估和单细胞型表达分析进一步评估了致病蛋白的潜力。结合来自两个队列的MR估计的荟萃分析结果,分别在乳腺癌、肺癌、前列腺癌和胃癌中鉴定出21、2、24和1个因果蛋白。来自共定位、SMR分析和TWAS的证据强调CD36、DNPH1和PLXND1是最有希望治疗乳腺癌的药物靶点,ZNF175是治疗前列腺癌的药物靶点。首次报道1个乳腺癌潜在新标志物(PLXND1), 2个肺癌潜在新靶点(RELL1、DEFB119), 8个前列腺循环新标志物(ARFIP2、CCN6、CTRB2、HTR7、MRPL33、TNFRSF6B、VAMP5、ZNF175)。一些血浆蛋白可能介导这些癌症与其他全身性疾病的关联。此外,基因预测的高BMI和超重可能通过改变CASP8、ADM、PLXND1、TNFRSF9、ULK3和VSIG4蛋白水平来降低乳腺癌风险。乳腺癌和前列腺癌的致病蛋白主要在癌组织的巨噬细胞上表达。本研究从基因上鉴定了几种癌症致病蛋白,为了解病因和开发新的癌症靶向药物提供了新的视角。
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Identification of potential drug targets for four site-specific cancers by integrating human plasma proteome with genome
Drug targets supported by genetic evidence with a several-fold higher probability of success in clinical trials. We performed a comprehensive proteome-wide Mendelian randomization (MR) analysis to identify causal proteins and potential therapeutic targets for four site-specific cancers. A total of 13,248 protein quantitative trait loci for 4853 plasma proteins were utilized for proteome-wide MR analysis. Identification of cancer causal proteins in the discovery cohort and further validation in the replication cohort. Colocalization, summary-data-based MR (SMR) analysis, and transcriptome‑wide association studies (TWAS) were performed to check the accuracy of the candidate proteins. Two-step MR analysis was used to explore the effects of plasma protein-mediated 248 modifiable factors on cancer. Phenome-wide MR (Phe-MR) analysis, druggability evaluation, and single-cell type expression analysis further assessed the potential of causal proteins. Combining the results of the meta-analysis of MR estimates from the two cohorts, 21, 2, 24 and 1 causal proteins were identified in breast, lung, prostate and stomach cancers, respectively. Evidence from colocalization, SMR analysis, and TWAS highlighted CD36, DNPH1, and PLXND1 as the most promising drug targets for breast cancer, and ZNF175 for prostate cancer. 1 new potential biomarker (PLXND1) for breast cancer, 2 new promising targets (RELL1, DEFB119) for lung cancer, and 8 new circulating biomarkers (ARFIP2, CCN6, CTRB2, HTR7, MRPL33, TNFRSF6B, VAMP5, ZNF175) for prostate cancer were firstly reported. Some plasma proteins may mediate the association of these cancers with other systemic diseases. Additionally, genetically predicted higher BMI and overweight may reduce breast cancer risk by altering CASP8, ADM, PLXND1, TNFRSF9, ULK3 and VSIG4 protein levels. Causal proteins of breast and prostate cancer were expressed predominantly on macrophages in cancerous tissues. This study genetically identified several cancer causal proteins which provided new perspectives for the understanding of the etiology and development of novel targeted drugs for cancer.
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来源期刊
CiteScore
6.70
自引率
5.90%
发文量
588
审稿时长
37 days
期刊介绍: This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome. Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.
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