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利用孟德尔随机化评估前列腺癌患者循环血浆蛋白

Evaluation of circulating plasma proteins in prostate cancer using mendelian randomization.

作者信息

Cheng Long, Qiu Zeming, Wu Xuewu, Dong Zhilong

机构信息

Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730000, Gansu, China.

Institute of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, Gansu, China.

出版信息

Discov Oncol. 2024 Sep 17;15(1):453. doi: 10.1007/s12672-024-01331-3.

Abstract

BACKGROUND

The proteome is an important resource for exploring potential diagnostic and therapeutic targets for cancer. This study aimed to investigate the causal associations between plasma proteins and prostate cancer (PCa), and to explore the downstream phenotypes that plasma proteins may influence and potential upstream intervening factors.

METHODS

Proteome-wide Mendelian randomization was used to investigate the causal effects of plasma proteins on PCa. Colocalization analysis examined the common causal variants between plasma proteins and PCa. Summary-statistics-based Mendelian Randomization (SMR) analyses identified associations between the expression of protein-coding genes and PCa. Phenome-wide association study was performed to explore the effect of target proteins on downstream phenotypes. Finally, a systematic Mendelian randomization analysis between lifestyle factors and plasma proteins was performed to assess upstream intervening factors for plasma proteins.

RESULTS

The findings revealed a positive genetic association between the predicted plasma levels of nine proteins and an elevated risk of PCa, while four proteins exhibited an inverse association with PCa risk. SMR analyses revealed ZG16B, PEX14 in blood and ZG16B, NAPG in prostate tissue were potential drug targets for PCa. The genetic association of PEX14 with PCa was further supported by colocalization analysis. Further Phenome-wide association study showed possible side effects of ZG16B, PEX14 and NAPG as drug targets. 10 plasma proteins (RBP7, TPST1, NFASC, LAYN, HDGF, SERPIMA5, DLL4, EFNA3, LIMA1, and CCL27) could be modulated by lifestyle-related factors.

CONCLUSION

This study explores the genetic associations between plasma proteins and PCa, provides evidence that plasma proteins serve as potential drug targets and enhances the understanding of the molecular etiology, prevention and treatment of PCa.

摘要

背景

蛋白质组是探索癌症潜在诊断和治疗靶点的重要资源。本研究旨在调查血浆蛋白与前列腺癌(PCa)之间的因果关联,并探索血浆蛋白可能影响的下游表型以及潜在的上游干预因素。

方法

采用全蛋白质组孟德尔随机化研究血浆蛋白对PCa的因果效应。共定位分析检测血浆蛋白与PCa之间的共同因果变异。基于汇总统计的孟德尔随机化(SMR)分析确定蛋白质编码基因表达与PCa之间的关联。进行全表型关联研究以探索靶蛋白对下游表型的影响。最后,对生活方式因素与血浆蛋白进行系统的孟德尔随机化分析,以评估血浆蛋白的上游干预因素。

结果

研究结果显示,9种蛋白质的预测血浆水平与PCa风险升高呈正遗传关联,而4种蛋白质与PCa风险呈负相关。SMR分析显示,血液中的ZG16B、PEX14以及前列腺组织中的ZG16B、NAPG是PCa的潜在药物靶点。共定位分析进一步支持了PEX14与PCa的遗传关联。进一步的全表型关联研究显示,ZG16B、PEX14和NAPG作为药物靶点可能存在副作用。10种血浆蛋白(RBP7、TPST1、NFASC、LAYN、HDGF、SERPIMA5、DLL4、EFNA3、LIMA1和CCL27)可受生活方式相关因素调节。

结论

本研究探索了血浆蛋白与PCa之间的遗传关联,提供了血浆蛋白作为潜在药物靶点的证据,并增进了对PCa分子病因、预防和治疗的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebe7/11408438/f420f1d9d716/12672_2024_1331_Fig1_HTML.jpg

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