Evidence map›Paper›PMID 41201680›Full record

ArticleDiscover oncology2025

Causal association between rheumatoid arthritis and pancreatic cancer: a bidirectional two-sample Mendelian randomization study.

Jujie Li, Hao Hua, Luyao Fu

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Article in Discover oncology, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jujie LiDepartment of Orthopedics and Joint and Sports Medicine, Luzhou Hospital of Traditional Chinese Medicine, Sichuan, China.
Hao HuaDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Luyao FuDepartment of Pathology, Luzhou People's Hospital, No. 316, Jiugu Road Section 2, Jiangyang District, Sichuan, 646000, People's Republic of China. 402104196@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElucidating the causal relationship between rheumatoid arthritis (RA) and pancreatic cancer (PC) remains methodologically challenging due to limitations inherent in observational studies. This study applied a bidirectional two-sample Mendelian randomization (MR) design to investigate the potential causal interplay between RA and PC, aiming to uncover shared pathogenic pathways and genetic predispositions through comprehensive instrumental variable analysis.

methodsUtilizing genome-wide association study (GWAS) meta-analysis data, we systematically screened and incorporated independent single nucleotide polymorphisms (SNPs) associated with RA and PC as instrumental variables. The primary analytical approach was the inverse-variance weighted fixed-effects model (IVW-FE). To ensure methodological rigor and validate causal inferences, we complemented this with several approaches: simple median, weighted median, and MR-Egger regression. Heterogeneity was assessed using Cochran's Q test, and pleiotropy was evaluated using MR-Egger intercept analysis. Sensitivity analysis was conducted using the leave-one-out approach. All effect estimates are reported as odds ratios (ORs) with corresponding 95% confidence intervals (CIs).

resultsSeventy-seven SNPs met the predefined inclusion criteria. MR analyses revealed that elevated genetic susceptibility to RA was causally associated with an increased risk of PC (OR = 1.187, 95% CI = 1.355-1.039, P = 0.011). MR-Egger regression analysis indicated no significant pleiotropic effects (intercept p = 0.434). Cochran's Q statistics indicated no substantial heterogeneity in the causal estimates for RA (P = 0.064). Consistent with these findings, leave-one-out sensitivity analyses confirmed the absence of influential outlier variants in the instrumental variable sets. However, there was no significant causal association between PC and the risk of RA (OR = 0.991, 95% CI = 0.957-1.027, P = 0.620).

conclusionsOur results support a unidirectional causal relationship, identifying RA as a potential risk factor for the development of pancreatic cancer, with no evidence for a reverse causal effect.

Indexed as

Genetic variantsPancreatic cancerRheumatoid arthritisRisk factorTwo-sample Mendelian randomization

Identifiers

PMID41201680
PMCPMC12595200

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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.