Zhangjun Yun , Zhu Liu , Ziyi Sun , Xiang Yan , Qianru Yang , Shaodan Tian , Xiao Li , Li Hou
{"title":"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","authors":"Zhangjun Yun , Zhu Liu , Ziyi Sun , Xiang Yan , Qianru Yang , Shaodan Tian , Xiao Li , Li Hou","doi":"10.1016/j.jpba.2025.116731","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":"258 ","pages":"Article 116731"},"PeriodicalIF":3.1000,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of potential drug targets for four site-specific cancers by integrating human plasma proteome with genome\",\"authors\":\"Zhangjun Yun , Zhu Liu , Ziyi Sun , Xiang Yan , Qianru Yang , Shaodan Tian , Xiao Li , Li Hou\",\"doi\":\"10.1016/j.jpba.2025.116731\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":16685,\"journal\":{\"name\":\"Journal of pharmaceutical and biomedical analysis\",\"volume\":\"258 \",\"pages\":\"Article 116731\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of pharmaceutical and biomedical analysis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S073170852500072X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pharmaceutical and biomedical analysis","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S073170852500072X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
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.
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.