Evidence map›Paper›PMID 39622847›Full record

ArticleScientific reports2024

Causal relationship between inflammatory factors and gynecological cancer: a Bayesian Mendelian randomization study.

Chunxiao Dang, Mengmeng Liu, Pengfei Liu, Jinxing Liu, Xiao Yu, Yan Dong, Junde Zhao

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Causal inference in the diagnosis and prognosis of ovarian cancer: current state and future directions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Chunxiao Dang *First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Mengmeng Liu *Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, 257000, China.
Pengfei LiuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Jinxing LiuFirst Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Xiao YuDepartment of Gynecology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
Yan DongDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jingba Road No. 1, Jinan, 250014, China. dongyanfuke@163.com.
Junde ZhaoShandong University of Traditional Chinese Medicine, Jingshi Road No. 16369, Jinan, 250014, China. zhaojunde2020@163.com.

Funding

National Natural Science Foundation of China 82104917Natural Science Foundation of Shandong Province ZR2021MH079
6 · The paper itself

Abstract

backgroundCervical cancer, ovarian cancer, and endometrial cancer are the three most common cancers in gynecology. Understanding their respective pathology is currently incomplete. Inflammatory factors play an important role in the pathophysiology of these three cancers, but the causal relationship between inflammatory factors and these three cancers is unclear.

methodsBased on publicly available genetic databases, relevant instrumental variables were extracted according to predefined thresholds, and causal analyses of CRP, 41 circulating inflammatory factors, and three gynecological cancers were performed, mainly using the inverse variance weighted method, while bayesian analysis was performed to improve the accuracy of the results. Finally, heterogeneity, horizontal pleiotropy test, and MR Steiger test were carried out to evaluate the reliability of the findings and the causal inference strength.

resultsOne inflammatory factor (PDGF-BB) and four inflammatory factors (CXCL9, IL-6, CXCL1, and G-CSF) were identified as significantly associated with the risk of ovarian and endometrial cancers, respectively. In comparison, cervical cancer was found to have a negative causal association with one inflammatory factor (G-CSF) and endometrial cancer with two inflammatory factors (CXCL10 and CCL11).

conclusionsOur MR study suggests potential causal relationships between circulating inflammatory regulators and three gynecological cancers from a genetic perspective, which contributes to further understanding of the pathomechanisms of cervical, ovarian and endometrial cancers and highlights the potential of targeting inflammatory factors as therapeutic interventions and predictors.

Indexed as

Bayes TheoremMendelian Randomization AnalysisOvarian NeoplasmsChemokine CXCL1Endometrial NeoplasmsFemaleGenital Neoplasms, FemaleHumansInflammationInterleukin-6Uterine Cervical NeoplasmsChemokine CXCL1CXCL1 protein, humanInterleukin-6Cervical cancerCirculating inflammatory factorsEndometrial cancerMendelian randomizationOvarian cancer

Identifiers

PMID39622847
PMCPMC11612437

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