Evidence map›Paper›PMID 41567565›Full record

ArticleCancer innovation2026

Global, Population and Genetic Evidence on the Relationships Between Immune-Mediated Inflammatory Disease and Cancer Risk.

Xuesi Dong, Jiaxin Xie, Zilin Luo, Hao Hong, Chenran Wang, Yadi Zheng, Xiaoyue Shi, Zeming Guo, Xiaolu Chen, Yongjie Xu and 6 more

Abstract read
In one paragraph

Article in Cancer innovation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Xuesi DongOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Jiaxin XieOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Zilin LuoOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Hao HongDepartment of Biostatistics, School of Public Health Nanjing Medical University Nanjing Jiangsu China.
Chenran WangOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Yadi ZhengOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Xiaoyue ShiOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Zeming GuoOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Xiaolu ChenOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Yongjie XuOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Wei CaoOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Fei WangOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Dong HangDepartment of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health Nanjing Medical University Nanjing Jiangsu China.
Sipeng ShenDepartment of Biostatistics, School of Public Health Nanjing Medical University Nanjing Jiangsu China.
Fengwei TanDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Ni LiOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID https://orcid.org/0000-0001-5530-7745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune-mediated inflammatory disease (IMID) and cancer share underlying mechanisms. We aimed to comprehensively evaluate the associations between IMIDs and cancers from global, population and genetic perspectives. Methods: A triangulation framework was employed to assess the association between IMIDs and cancers, using the Global Burden of Disease Study (2012-2021) to analyse six IMIDs and 33 cancers. The UK Biobank (UKBB) prospective cohort was subsequently used to validate these associations, with hazard ratios (HRs) and 95% confidence intervals (CIs) estimated by Cox proportional hazards models. Causal inference based on genetic instruments was performed in the FinnGen and UKBB to assess the potential causal effects between IMIDs and cancers. Results: IMIDs were positively associated with the occurrence of cancers from a global perspective. Moreover, 170 specific IMID-cancer pairs revealed statistically significant associations. A total of 20 pairs of specific IMID-cancer associations were further confirmed in the UKBB cohort. Among these, the five most pronounced associations included atopic dermatitis with Hodgkin lymphoma (HR = 12.56, 95% CI: 1.76-89.59), with ovarian cancer (HR = 5.65, 95% CI: 1.41-22.65) and with non-Hodgkin lymphoma (HR = 5.11, 95% CI: 1.91-13.63); rheumatoid arthritis with Hodgkin lymphoma (HR = 3.85, 95% CI: 1.11-13.32); and psoriasis with Hodgkin lymphoma (HR = 3.43, 95% CI: 1.69-6.96). Additionally, a positive causal association between rheumatoid arthritis and Hodgkin lymphoma (inverse variance weighted OR = 1.31, 95% CI: 1.10-1.57) was observed. Conclusions: This study provides comprehensive evidence of the relationships between IMIDs and cancers from global, population and genetic perspectives and identifies 20 pairs of specific IMID-cancer associations, thereby contributing to advancements in cancer prevention and control.

Indexed as

cancerepidemiologyevidence triangulationimmune‐mediated inflammatory diseases

Identifiers

PMID41567565
PMCPMC12815612

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.