Jianping Jiang, Bolong Yin, Xiangrong Luo, Yan Chen, Changyuan Wei
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Genetic analysis uncovers potential mechanisms linking juvenile ldiopathic arthritisto breast cancer: A Bioinformatic Pilot study.
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.
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.
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