Genetic analysis uncovers potential mechanisms linking juvenile ldiopathic arthritisto breast cancer: A Bioinformatic Pilot study.

IF 1.4 4区医学 Q4 GENETICS & HEREDITY Cancer Genetics Pub Date : 2025-01-01 Epub Date: 2024-09-18 DOI:10.1016/j.cancergen.2024.09.004

Jianping Jiang, Bolong Yin, Xiangrong Luo, Yan Chen, Changyuan Wei

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Abstract

Background: In recent years, concerns have emerged regarding the potential link between Juvenile idiopathic arthritis (JIA) and an elevated risk of developing breast cancer. However, the potential relationship between JIA and breast cancer is currently unclear. The objective of this study is to investigate the mechanism of JIA on cancer risk.

Methods: Use the Bulk-seq data related to JIA, selected from the GEO database, to explore potential candidate genes using methods such as WGCNA and consensus machine learning labeling. Verify using breast cancer Bulk-seq data from TCGA and scRNA-seq analyses.

Results: A total of 2050 genes potentially related to JIA were identified by WGCNA, and after merged with differentially expressed genes, 43 potential candidate genes were found. Subsequently, consensus machine learning label analysis was conducted on the aforementioned genes, and a total of 6 genes closely related to JIA were identified. In breast cancer, we found that PRRG4, NCR3 and CREB5 also had significant differences in TCGA. And it is closely related to prognosis. ScRNA-seq analysis showed that the expression of PRRG4 was different in T cells in JIA, and PRRG4 was mainly expressed in T cells in breast cancer.

Conclusions: The findings of this study support a mechanism between JIA and an increased risk of breast cancer.

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遗传分析揭示了将青少年放射性关节炎与乳腺癌联系起来的潜在机制：一项生物信息学先导研究。

背景：近年来，人们开始关注青少年特发性关节炎（JIA）与乳腺癌发病风险升高之间的潜在联系。然而，JIA与乳腺癌之间的潜在关系目前尚不清楚。本研究的目的是探讨JIA对癌症风险的影响机制。方法：使用GEO数据库中与JIA相关的Bulk-seq数据，使用WGCNA和共识机器学习标记等方法探索潜在的候选基因。使用TCGA和scRNA-seq分析的乳腺癌Bulk-seq数据进行验证。结果：WGCNA共鉴定出2050个可能与JIA相关的基因，与差异表达基因合并后，发现43个潜在候选基因。随后，对上述基因进行共识机器学习标签分析，共鉴定出6个与JIA密切相关的基因。在乳腺癌中，我们发现PRRG4、NCR3和CREB5在TCGA中也存在显著差异。并与预后密切相关。ScRNA-seq分析显示，PRRG4在JIA的T细胞中表达不同，PRRG4主要在乳腺癌的T细胞中表达。结论：本研究结果支持JIA与乳腺癌风险增加之间的机制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Genetics ONCOLOGY-GENETICS & HEREDITY

CiteScore

3.20

自引率

5.30%

发文量

167

审稿时长

27 days

期刊介绍： The aim of Cancer Genetics is to publish high quality scientific papers on the cellular, genetic and molecular aspects of cancer, including cancer predisposition and clinical diagnostic applications. Specific areas of interest include descriptions of new chromosomal, molecular or epigenetic alterations in benign and malignant diseases; novel laboratory approaches for identification and characterization of chromosomal rearrangements or genomic alterations in cancer cells; correlation of genetic changes with pathology and clinical presentation; and the molecular genetics of cancer predisposition. To reach a basic science and clinical multidisciplinary audience, we welcome original full-length articles, reviews, meeting summaries, brief reports, and letters to the editor.