Jiang Jianping, Yin Bolong, Luo Xiangrong, Chen Yan, Wei Changyuan
Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530022, PR China; Department of Breast and Thoracic Surgery, The Central Hospital of Shaoyang, Shaoyang Hunan, 422400, PR China.
The Central Hospital of Shaoyang, Shaoyang Hunan, 422400, PR China.
Cancer Genet. 2025 Jan;290-291:51-55. doi: 10.1016/j.cancergen.2024.09.004. Epub 2024 Sep 18.
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.
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.
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.
The findings of this study support a mechanism between JIA and an increased risk of breast cancer.
近年来，人们开始关注青少年特发性关节炎（JIA）与患乳腺癌风险升高之间的潜在联系。然而，目前JIA与乳腺癌之间的潜在关系尚不清楚。本研究的目的是探讨JIA影响癌症风险的机制。
使用从GEO数据库中选取的与JIA相关的批量测序数据，通过加权基因共表达网络分析（WGCNA）和共识机器学习标记等方法探索潜在的候选基因。利用来自癌症基因组图谱（TCGA）的乳腺癌批量测序数据和单细胞RNA测序（scRNA-seq）分析进行验证。
通过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，发现了43个潜在的候选基因。随后，对上述基因进行了共识机器学习标记分析，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，并且与预后密切相关。scRNA-seq分析表明，PRRG4在JIA的T细胞中的表达存在差异，且PRRG4主要在乳腺癌的T细胞中表达。
本研究结果支持JIA与乳腺癌风险增加之间存在一种机制。
