Evidence map›Paper›PMID 42116294›Full record

ArticleMedicine2026

Absence of causal association between CD40-CD40L signaling and cervical cancer risk: A Mendelian randomization study.

Huifang Liu, Fan Huang, Huini Da, Qinghua Yin, Jieyu Liu, Yan Peng

Abstract read
In one paragraph

Article in Medicine, 2026. 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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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Huifang LiuYueyang Central Hospital, Yueyang, China.
Fan Huang
Huini Da
Jieyu Liu
Yan Peng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the potential causal relationship between cluster of differentiation 40 (CD40)-cluster of differentiation 40 ligand (CD40L) signaling and cervical cancer risk using a two-sample Mendelian randomization (MR) approach and to explore the expression and immune correlation of CD40/CD40L in cervical cancer. A two-sample MR framework was used in this study. Genetic instruments for CD40-CD40L (exposure) were derived from the plasma protein quantitative trait loci data. Summary-level data for cervical cancer (outcome) were obtained from 5 independent genome-wide association study datasets. Instrumental variable selection adhered to the core MR assumptions. Causal estimates were primarily generated using the inverse-variance weighted method supplemented by MR-Egger, weighted median, and other sensitivity analyses. Heterogeneity and pleiotropy were assessed. Bioinformatics analyses using the Sangerbox 3.0 and Gene Expression Profiling Interactive Analysis 2 databases were used to evaluate the expression, prognostic value, and immune infiltration correlation of CD40 and CD40L in cervical squamous cell carcinoma and endocervical adenocarcinoma. MR analyses found no significant causal effect of CD40-CD40L signaling on cervical cancer risk across all datasets (e.g., for CD40: inverse-variance weighted OR = 1.014, P = .838). Sensitivity analyses, including leave-one-out validation and tests for heterogeneity and horizontal pleiotropy, supported the robustness of null findings. Expression analysis showed no significant difference in CD40/CD40L mRNA levels between tumor and normal tissues and no correlation with overall survival. However, their expression was positively correlated with stromal, immune, and ESTIMATE scores in the tumor microenvironment. This MR study found no genetic evidence to support a causal role for CD40-CD40L signaling in cervical cancer etiology. Although not a causal risk factor, the positive correlation of CD40/CD40L expression with immune microenvironment scores suggests a potential role in local immune regulation, warranting further investigation.

Indexed as

CD40 AntigensCD40 LigandSignal TransductionUterine Cervical NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisQuantitative Trait LociCD40 AntigensCD40 Ligandcausal inferenceCD40–CD40L signalingcervical cancerMendelian randomizationprotein quantitative trait loci (pQTL)

Identifiers

PMID42116294
PMCPMC13166785

What Socratic holds

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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 Socratic graph.