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PARK7是氧化应激相关乳腺癌风险的关键调节因子:一项多组学研究。

PARK7 is a Key Regulator of Oxidative Stress - Related Breast Cancer Risk: A Multi-Omics Study.

作者信息

Wang Tianhua, Yao Yan, Zhang Minpu, Luan Hao, Chang Xinjie, Liu Lijuan, Sun Changgang

机构信息

Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao.

Department of Oncology, Weifang Hospital of Traditional Chinese Medicine, Weifang, China.

出版信息

J Cancer. 2025 Jun 23;16(9):2877-2889. doi: 10.7150/jca.111796. eCollection 2025.

DOI:10.7150/jca.111796
PMID:40657364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12244032/
Abstract

Oxidative stress (OS) is closely associated with the occurrence and progression of breast cancer (BC). However, its role as a potential etiological factor or trigger remains unclear. This study aims to systematically investigate the potential causal effects and mechanisms of OS-related genes in BC by integrating multi-omics data. This study obtained summary data for blood methylation (mQTL), gene expression (eQTL), alternative splicing (sQTL), and protein abundance (pQTL) from their respective quantitative trait loci (QTL) studies. The genetic association data for breast cancer (BC) were primarily derived from the Breast Cancer Association Consortium (BCAC) and were validated using the UK Biobank (UKB) and FinnGen databases. SMR (Summary-data-based Mendelian Randomization) analysis was performed to evaluate the associations between the molecular characteristics of oxidative stress-related genes and BC. Subsequently, colocalization analysis was conducted to determine whether the identified signals share the same causal genetic variants. Whole-transcriptome association studies (TWAS), whole-proteome association studies (PWAS), and multi-marker analysis with genomic annotation (MAGMA) were used as sensitivity analyses. In addition, the significant genes were validated using multi-omics analysis of blood samples in an independent cohort from Weifang Traditional Chinese Medicine Hospital. By integrating multi-omics data from mQTL, eQTL, sQTL, and pQTL analyses, we identified PARK7 as a key oxidative stress-related gene that showed significant associations with breast cancer (BC) at multiple levels. Elevated gene expression of PARK7 (pSMR = 5.79E-06, OR = 0.91) and protein levels (pSMR = 8.46E-06, OR = 0.83) were significantly associated with reduced BC risk. In the mQTL analysis, cg10385390 (pSMR = 2.03E-03, OR = 1.09) and cg11518359 (pSMR = 3.54E-03, OR = 0.88) were significantly associated with BC. In the sQTL analysis, PARK7 (chr1:7961793-7962763) (pSMR = 8.87E-06, OR = 1.03) and PARK7 (chr1:7961735-7962763) (pSMR = 9.38E-06, OR = 0.97) were significantly associated with BC. In the integrated mQTL-eQTL SMR analysis, cg10385390 (pSMR = 7.61E-15, OR = 0.47) and cg11518359 (pSMR = 4.56E-09, OR = 2.78) exhibited significant associations. In the integrated sQTL-pQTL SMR analysis, PARK7 (chr1:7961793-7962763) (pSMR = 4.62E-44, OR = 0.85) and PARK7 (chr1:7961735-7962763) (pSMR = 6.56E-42, OR = 1.19) both showed significant associations. These findings revealed the multidimensional molecular mechanisms by which PARK7 regulates breast cancer risk through the oxidative stress pathway. All findings were supported by colocalization analysis (PPH4 > 0.7). Validation in an independent population cohort indicated that plasma levels of PARK7 mRNA and protein in breast cancer patients were significantly lower than those in healthy controls, consistent with the aforementioned results. This study innovatively integrates multi-omics data to elucidate the complex associations between the PARK7 gene and breast cancer risk, providing new insights for precision prevention and targeted intervention of breast cancer.

摘要

氧化应激(OS)与乳腺癌(BC)的发生和发展密切相关。然而,其作为潜在病因或触发因素的作用仍不清楚。本研究旨在通过整合多组学数据,系统地研究BC中OS相关基因的潜在因果效应和机制。本研究从各自的数量性状位点(QTL)研究中获得了血液甲基化(mQTL)、基因表达(eQTL)、可变剪接(sQTL)和蛋白质丰度(pQTL)的汇总数据。乳腺癌(BC)的遗传关联数据主要来自乳腺癌协会联盟(BCAC),并使用英国生物银行(UKB)和芬兰基因数据库进行了验证。进行了SMR(基于汇总数据的孟德尔随机化)分析,以评估氧化应激相关基因的分子特征与BC之间的关联。随后,进行了共定位分析,以确定所识别的信号是否共享相同的因果遗传变异。全转录组关联研究(TWAS)、全蛋白质组关联研究(PWAS)和基因组注释多标记分析(MAGMA)用作敏感性分析。此外,在来自潍坊中医院的独立队列中,通过对血液样本进行多组学分析,对显著基因进行了验证。通过整合来自mQTL、eQTL、sQTL和pQTL分析的多组学数据,我们确定PARK7是一个关键的氧化应激相关基因,在多个水平上与乳腺癌(BC)表现出显著关联。PARK7基因表达升高(pSMR = 5.79E - 06,OR = 0.91)和蛋白质水平升高(pSMR = 8.46E - 06,OR = 0.83)与BC风险降低显著相关。在mQTL分析中,cg10385390(pSMR = 2.03E - 03,OR = 1.09)和cg11518359(pSMR = 3.54E - 03,OR = 0.88)与BC显著相关。在sQTL分析中,PARK7(chr1:7961793 - 7962763)(pSMR = 8.87E - 06,OR = 1.03)和PARK7(chr1:7961735 - 7962763)(pSMR = 9.38E - 06,OR = 0.97)与BC显著相关。在整合的mQTL - eQTL SMR分析中,cg10385390(pSMR = 7.61E - 15,OR = 0.47)和cg11518359(pSMR = 4.56E - 09,OR = 2.78)表现出显著关联。在整合的sQTL - pQTL SMR分析中,PARK7(chr1:7961793 - 7962763)(pSMR = 4.62E - 44,OR = 0.85)和PARK7(chr1:796

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