揭示乳腺癌中免疫细胞相关基因:基于汇总数据的孟德尔随机分析和共定位研究。

IF 7.4 1区 医学 Q1 Medicine
Jingyang Liu, Wen Sun, Ning Li, Haibin Li, Lijuan Wu, Huan Yi, Jianguang Ji, Deqiang Zheng
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引用次数: 0

摘要

背景:乳腺癌是全球妇女中最常见的癌症形式,包括各种亚型,需要不同的治疗方法。肿瘤微环境和免疫反应在乳腺癌的发生发展中具有重要意义。然而,关于乳腺癌特异性免疫细胞内的基因的证据很少。方法:采用基于汇总数据的孟德尔随机化(SMR)方法,利用14种不同免疫细胞类型的表达数量性状位点(eQTL)数据集和乳腺癌及其亚型的全基因组关联研究(GWAS),鉴定乳腺癌相关基因。此外,我们还进行了共定位分析,以评估SMR分析中观察到的关联是否受到相同因果变量的影响。采用复制分析和大体积RNA测序(bulkRNA-seq)分析来验证有希望的免疫基因作为潜在的药物靶点。结果:在纠正错误发现率后,我们发现9种免疫细胞类型中总共有17个基因与总体乳腺癌及其亚型显著相关。KCNN4、L3MBTL3、ZBTB38、MDM4和TNFSF10基因在总体乳腺癌及其亚型中被鉴定。共地化分析提供了有力的证据来支持这些关联。值得注意的是,通过复制分析和bulkRNA-seq分析进一步验证了非经典单核细胞(MONOnc)中的KCNN4基因。结论:总之,我们的研究揭示了多种免疫细胞中与乳腺癌相关的一系列基因。非经典单核细胞(non-classic MONOcytes, MONOnc)中的KCNN4基因与乳腺癌整体及其亚型呈负相关,被认为是乳腺癌潜在的药物靶点,为治疗干预开辟了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uncovering immune cell-associated genes in breast cancer: based on summary data-based Mendelian randomized analysis and colocalization study.

Background: Breast cancer, which is the most prevalent form of cancer among women globally, encompasses various subtypes that demand distinct treatment approaches. The tumor microenvironment and immune response are of crucial significance in the development and progression of breast cancer. Nevertheless, there has been scant evidence concerning the genes within breast cancer - specific immune cells.

Methods: We utilized summary data-based Mendelian randomization (SMR) to identify genes associated with breast cancer by utilizing expression quantitative trait loci (eQTL) datasets for 14 different immune cell types and genome-wide association studies (GWAS) for overall breast cancer and its subtypes. Furthermore, colocalization analysis was carried out to evaluate whether the observed association in SMR analyses is influenced by the same causal variant. Replication analysis and bulk RNA sequencing (bulkRNA-seq) analysis were employed to validate promising immune genes as potential drug targets.

Results: After correcting for the rate of false discovery, we discovered a total of 17 genes in 9 immune cell types that were significantly associated with overall breast cancer and its subtypes. The genes KCNN4, L3MBTL3, ZBTB38, MDM4, and TNFSF10 were identified in overall breast cancer and its subtypes. Colocalization analyses provided robust evidence in support of these associations. Notably, the KCNN4 gene in non-classical MONOcytes (MONOnc) was further validated through replication analysis and bulkRNA-seq analysis.

Conclusion: In summary, our research has revealed a repertoire of genes within diverse immune cells associated with breast cancer. KCNN4 gene in non-classical MONOcytes (MONOnc) exhibited a negative association with overall breast cancer and its subtypes, which was identified as a potential drug target for breast cancer, opening up new avenues for therapeutic interventions.

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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
76
审稿时长
12 weeks
期刊介绍: Breast Cancer Research, an international, peer-reviewed online journal, publishes original research, reviews, editorials, and reports. It features open-access research articles of exceptional interest across all areas of biology and medicine relevant to breast cancer. This includes normal mammary gland biology, with a special emphasis on the genetic, biochemical, and cellular basis of breast cancer. In addition to basic research, the journal covers preclinical, translational, and clinical studies with a biological basis, including Phase I and Phase II trials.
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