Evidence map›Paper›PMID 40335617›Full record

ArticleScientific reports2025

Four genes shared between rheumatoid arthritis and cervical cancer are associated with cervical cancer prognosis.

Shuqiong Su, Bo Yang, Huixia Liu, Wenyao Yin, Shuo Chen, Ge Du

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shuqiong Su *Department of Oncology, Guangzhou Royallee Hospital, Guangzhou, China.
Bo Yang *Department of Oncology, The People's Hospital of Yichun City, Yichun, China.
Huixia Liu *Department of Oncology, Guangzhou Royallee Hospital, Guangzhou, China.
Wenyao YinDepartment of Cardiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China. fengqi9666@qq.com.
Shuo ChenThe First Clinical Medicine College, Sun Yat-Sen University, Guangzhou, China.
Ge DuDepartment of Oncology, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) and cervical cancer (CC) are major global health challenges, yet the molecular connections between these two conditions remain poorly understood. To bridge this gap, our study employs bioinformatics approaches to explore shared genetic pathways and potential biomarkers. We started by identifying differentially expressed genes in RA and CC and then applied WGCNA to detect functionally related gene clusters using gene expression data from the GEO database. Additionally, we constructed protein-protein interaction (PPI) networks and examined the role of the immune microenvironment. To assess the prognostic relevance of key genes in CC, we leveraged survival data from TCGA. Our analysis identified 55 key genes common to RA and CC, with four-CXCL1, CXCL13, ZWINT, and PTTG1-emerging as significant. ROC curve validation confirmed their diagnostic potential, and a model incorporating these genes was associated with poorer prognosis in CC. Among them, CXCL1 stood out as especially crucial. Our findings suggest a potential link between chronic inflammation, immune dysregulation, and chemokine-related pathways in RA patients, which may contribute to an increased susceptibility to CC.

Indexed as

Arthritis, RheumatoidUterine Cervical NeoplasmsBiomarkers, TumorChemokine CXCL1Chemokine CXCL13Computational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisProtein Interaction MapsBiomarkers, TumorChemokine CXCL1Chemokine CXCL13CXCL13 protein, humanCXCL1 protein, humanBioinformaticsCervical cancerCXCL1Prognostic analysisRheumatoid arthritis

Identifiers

PMID40335617
PMCPMC12059032

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.