Liu Yingming, Kong Xiangjun, Sun Qianshu, Cui Tianxing, Xu Shengnan, Ding Chao
General Surgery Ward four, Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
PLoS One. 2025 Mar 10;20(3):e0317369. doi: 10.1371/journal.pone.0317369. eCollection 2025.
Papillary thyroid carcinoma coexisting with rheumatoid arthritis is frequently observed in clinical patients, yet its pathogenesis has not been fully elucidated. This investigation sought to further explore the molecular underpinnings of these two diseases.
Gene expression profiles for thyroid papillary carcinoma and rheumatoid arthritis patients were obtained from the Comprehensive Gene Expression Database (GEO). Following the discovery of shared differentially expressed genes (DEGs) between these two conditions, three separate analyses were conducted. These included functional annotation, the establishment of a protein‒protein interaction (PPI) network and module, and the identification of hub genes via coexpression analysis. The final step involved the validation of target genes via clinical specimens.
This study analyzed datasets from four GEO databases and identified 64 common DEGs. Functional enrichment analysis revealed that these genes are predominantly associated with pathways related to immunity and signal transduction. Protein‒protein interaction (PPI) network analysis revealed complex interactions among these differentially expressed genes and highlighted several genes that may play pivotal roles in shared pathological mechanisms, namely, CCR5, CD4, IL6, CXCL13, FOXM1, CXCL9, and CXCL10.
Our study highlights the shared pathogenesis between papillary thyroid cancer and rheumatoid arthritis. Shared pathways and crucial genes could offer novel perspectives for subsequent investigations into the mechanisms of these diseases.
甲状腺乳头状癌与类风湿性关节炎共存的情况在临床患者中经常可见,但其发病机制尚未完全阐明。本研究旨在进一步探索这两种疾病的分子基础。
从综合基因表达数据库(GEO)中获取甲状腺乳头状癌和类风湿性关节炎患者的基因表达谱。在发现这两种疾病之间共享的差异表达基因(DEG)后,进行了三项独立分析。这些分析包括功能注释、蛋白质-蛋白质相互作用(PPI)网络和模块的建立,以及通过共表达分析鉴定枢纽基因。最后一步是通过临床标本验证靶基因。
本研究分析了来自四个GEO数据库的数据集,确定了64个常见的DEG。功能富集分析表明,这些基因主要与免疫和信号转导相关的途径有关。蛋白质-蛋白质相互作用(PPI)网络分析揭示了这些差异表达基因之间的复杂相互作用,并突出了几个可能在共同病理机制中起关键作用的基因,即CCR5、CD4、IL6、CXCL13、FOXM1、CXCL9和CXCL10。
我们的研究突出了甲状腺乳头状癌和类风湿性关节炎之间的共同发病机制。共享途径和关键基因可为后续对这些疾病机制的研究提供新的视角。