Xu Xifeng, Huang Yujie, Wei Wu, Lin Zhong, Luo Yongjin, Meng Kaiyi
Nanning Second People's Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Department of Gynaecology, Guangxi Reproductive Hospital, Nanning, 530000, Guangxi, China.
Discov Oncol. 2025 May 29;16(1):945. doi: 10.1007/s12672-025-02741-7.
The potential association between rheumatoid arthritis (RA) and cervical cancer risk is still debated and necessitates additional clinical investigations. This study aimed to explore this relationship using Mendelian randomization and multi-omics analysis, aiming to enhance insights and reduce redundancy.
This study employs a Mendelian randomization approach to investigate potential associations between rheumatoid arthritis (RA) and cervical cancer susceptibility. Single-cell enrichment scores were calculated using RA-specific transcriptome differentially expressed genes, and prognostic models were developed using 10 machine learning algorithms to assess cervical cancer differential gene expression associated with RA scores. Subsequently, differences in clinical characteristics, immune cell infiltration, immunotherapy efficacy, and response to chemotherapeutic drugs were analyzed between high- and low-risk groups of patients. Finally, the expression of model genes was verified by cervical cancer cell lines and clinical fresh samples.
Mendelian randomization has revealed an increased incidence of cervical cancer associated with RA. RA enrichment scores show predominant enrichment in the single-cell NK cell subpopulation. Cervical cancer can be distinctly categorized into two subgroups based on RA score-associated prognostic genes, demonstrating significant differences in immune cell infiltration and prognosis between these subgroups. Prognostic modeling indicates that patients in the low-risk group exhibit better prognosis, enhanced immune cell infiltration, and improved response to immunotherapy and drug treatments. Finally, multiple external data confirmed that there were significant differences in the expression of model genes.
Rheumatoid arthritis is causally associated with the development of cervical cancer. Patients with rheumatoid arthritis have an increased risk of concurrent cervical cancer. Immune cell pathways, such as NK cell-based, may be important in increasing the risk of cervical cancer in RA patients. The abnormal expression of the model gene may be involved in the progression of cervical cancer patients and the impact of immunotherapy.
类风湿关节炎(RA)与宫颈癌风险之间的潜在关联仍存在争议,需要更多的临床研究。本研究旨在通过孟德尔随机化和多组学分析来探索这种关系,以增强认识并减少冗余。
本研究采用孟德尔随机化方法来研究类风湿关节炎(RA)与宫颈癌易感性之间的潜在关联。使用RA特异性转录组差异表达基因计算单细胞富集分数,并使用10种机器学习算法开发预后模型,以评估与RA分数相关的宫颈癌差异基因表达。随后,分析了高风险组和低风险组患者之间的临床特征、免疫细胞浸润、免疫治疗疗效和对化疗药物反应的差异。最后,通过宫颈癌细胞系和临床新鲜样本验证了模型基因的表达。
孟德尔随机化揭示了与RA相关的宫颈癌发病率增加。RA富集分数显示在单细胞NK细胞亚群中占主导地位的富集。基于与RA分数相关的预后基因,宫颈癌可明显分为两个亚组,这些亚组在免疫细胞浸润和预后方面存在显著差异。预后模型表明,低风险组患者预后更好,免疫细胞浸润增强,对免疫治疗和药物治疗的反应改善。最后,多个外部数据证实模型基因的表达存在显著差异。
类风湿关节炎与宫颈癌的发生存在因果关系。类风湿关节炎患者并发宫颈癌的风险增加。基于NK细胞等免疫细胞途径可能在增加RA患者宫颈癌风险中起重要作用。模型基因的异常表达可能参与宫颈癌患者的进展和免疫治疗的影响。