Suppr超能文献

采用孟德尔随机化方法评估乳腺癌患者的循环血浆蛋白。

Evaluation of circulating plasma proteins in breast cancer using Mendelian randomisation.

机构信息

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Pfizer Worldwide Research Development and Medical, Stockholm, Sweden.

出版信息

Nat Commun. 2023 Nov 24;14(1):7680. doi: 10.1038/s41467-023-43485-8.

Abstract

Biomarkers for early detection of breast cancer may complement population screening approaches to enable earlier and more precise treatment. The blood proteome is an important source for biomarker discovery but so far, few proteins have been identified with breast cancer risk. Here, we measure 2929 unique proteins in plasma from 598 women selected from the Karolinska Mammography Project to explore the association between protein levels, clinical characteristics, and gene variants, and to identify proteins with a causal role in breast cancer. We present 812 cis-acting protein quantitative trait loci for 737 proteins which are used as instruments in Mendelian randomisation analyses of breast cancer risk. Of those, we present five proteins (CD160, DNPH1, LAYN, LRRC37A2 and TLR1) that show a potential causal role in breast cancer risk with confirmatory results in independent cohorts. Our study suggests that these proteins should be further explored as biomarkers and potential drug targets in breast cancer.

摘要

用于早期检测乳腺癌的生物标志物可以补充人群筛查方法,以实现更早和更精确的治疗。血液蛋白质组是发现生物标志物的重要来源,但迄今为止,只有少数蛋白质与乳腺癌风险有关。在这里,我们测量了来自 Karolinska 乳腺项目的 598 名女性的血浆中的 2929 种独特蛋白质,以探索蛋白质水平、临床特征和基因突变之间的关系,并确定在乳腺癌中具有因果作用的蛋白质。我们提出了 737 种蛋白质的 812 个顺式作用蛋白数量性状基因座,这些蛋白质被用作乳腺癌风险的孟德尔随机分析的工具。其中,我们提出了五个蛋白质(CD160、DNPH1、LAYN、LRRC37A2 和 TLR1),它们在乳腺癌风险中具有潜在的因果作用,在独立队列中得到了证实结果。我们的研究表明,这些蛋白质应该作为乳腺癌的生物标志物和潜在药物靶点进一步探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60e0/10667261/e43d5572223c/41467_2023_43485_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验