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了解乳腺癌的遗传结构：蛋白质组全关联研究如何发挥作用？

Understanding genetic architecture of breast cancer: how can proteome-wide association studies contribute?

作者信息

Sun Yijia, Huo Dezheng

机构信息

Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.

出版信息

Br J Cancer. 2024 Dec;131(12):1869-1870. doi: 10.1038/s41416-024-02905-2. Epub 2024 Nov 18.

DOI:10.1038/s41416-024-02905-2
PMID:39558062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11628609/
Abstract

Proteome-wide association studies (PWAS) address gaps in post-transcriptional modifications that previous genome- and transcriptome-wide association studies could not capture. Zhao and colleagues conducted the first breast tissue-based PWAS and identified proteins associated with breast cancer risk, providing insights into the role of protein expression in breast cancer development.

摘要

全蛋白质组关联研究（PWAS）填补了先前全基因组和全转录组关联研究未能捕捉到的转录后修饰方面的空白。赵及其同事开展了首个基于乳腺组织的PWAS，并鉴定出与乳腺癌风险相关的蛋白质，为蛋白质表达在乳腺癌发展中的作用提供了见解。

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本文引用的文献

1
A proteome-wide association study identifies putative causal proteins for breast cancer risk.一项蛋白质组关联研究确定了乳腺癌风险的潜在因果蛋白。
Br J Cancer. 2024 Dec;131(11):1796-1804. doi: 10.1038/s41416-024-02879-1. Epub 2024 Oct 28.
2
Integrative cross-omics and cross-context analysis elucidates molecular links underlying genetic effects on complex traits.综合跨组学和跨环境分析阐明了遗传效应对复杂性状的分子关联。
Nat Commun. 2024 Mar 16;15(1):2383. doi: 10.1038/s41467-024-46675-0.
3
Multi-tissue transcriptome-wide association studies identified 235 genes for intrinsic subtypes of breast cancer.多组织转录组全基因组关联研究鉴定了 235 个乳腺癌内在亚型的基因。
J Natl Cancer Inst. 2024 Jul 1;116(7):1105-1115. doi: 10.1093/jnci/djae041.
4
SEPepQuant enhances the detection of possible isoform regulations in shotgun proteomics.SEPepQuant 增强了 shotgun 蛋白质组学中可能的同工型调控检测。
Nat Commun. 2023 Sep 19;14(1):5809. doi: 10.1038/s41467-023-41558-2.
5
Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.乳腺癌、前列腺癌、卵巢癌和子宫内膜癌的预测蛋白质组关联研究提示血浆蛋白质调节与癌症易感性有关。
Cancer Epidemiol Biomarkers Prev. 2023 Sep 1;32(9):1198-1207. doi: 10.1158/1055-9965.EPI-23-0309.
6
A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes.一项跨多种组织的联合转录组全基因组关联研究鉴定出候选乳腺癌易感基因。
Am J Hum Genet. 2023 Jun 1;110(6):950-962. doi: 10.1016/j.ajhg.2023.04.005. Epub 2023 May 9.
7
PWAS: proteome-wide association study-linking genes and phenotypes by functional variation in proteins.PWAS：通过蛋白质功能变异将基因与表型联系起来的蛋白质组范围关联研究。
Genome Biol. 2020 Jul 14;21(1):173. doi: 10.1186/s13059-020-02089-x.
8
Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.全基因组关联研究鉴定了 32 个新的乳腺癌易感性位点，包括整体和亚型特异性分析。
Nat Genet. 2020 Jun;52(6):572-581. doi: 10.1038/s41588-020-0609-2. Epub 2020 May 18.
9
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses.从蛋白质组学和转录组学分析中洞察蛋白质丰度的调控。
Nat Rev Genet. 2012 Mar 13;13(4):227-32. doi: 10.1038/nrg3185.
10
Population differences in breast cancer: survey in indigenous African women reveals over-representation of triple-negative breast cancer.乳腺癌的人群差异：对非洲本土女性的调查显示三阴性乳腺癌的比例过高。
J Clin Oncol. 2009 Sep 20;27(27):4515-21. doi: 10.1200/JCO.2008.19.6873. Epub 2009 Aug 24.