Evidence map›Paper›PMID 40773112›Full record

ArticleDiscover oncology2025

Genetic evidence for causal effects of inflammatory protein factors on breast cancer.

Xinqi Liu, Xu Xu, Peizhi Ye, Zhenglong Jiang, Le Tian, Yukun Yin, Li Feng

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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. Review
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

7 authors.

Xinqi Liu *Department of Traditional Chinese Medicine, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy for Medical Sciences, Peking Union Medical College, Beijing, China.
Xu Xu *Hebei PetroChina Central Hospital, Langfang, Hebei, China.
Peizhi YeDepartment of Traditional Chinese Medicine, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy for Medical Sciences, Peking Union Medical College, Beijing, China.
Zhenglong JiangDepartment of Traditional Chinese Medicine, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy for Medical Sciences, Peking Union Medical College, Beijing, China.
Le TianComprehensive oncology department, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy for Medical Sciences, Peking Union Medical College, Beijing, China.
Yukun YinDepartment of Traditional Chinese Medicine, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy for Medical Sciences, Peking Union Medical College, Beijing, China. yinyukun1982@163.com.
Li FengDepartment of Traditional Chinese Medicine, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy for Medical Sciences, Peking Union Medical College, Beijing, China. fengli663@126.com.

Funding

Beijing Administration of Traditional Chinese Medicine BJZYYB-2023-69China National Center for Biotechnology Development, National Health Commission, Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0502500the National Natural Science Foundation of China 32470963
6 · The paper itself

Abstract

backgroundBreast cancer (BC) represents a significant public health challenge characterized by complex pathogenic mechanisms. While inflammatory proteins are known to play crucial roles in cancer development, their causal relationships with breast cancer risk remain inadequately understood. This study employed Mendelian randomization (MR) analysis to investigate potential causal associations between inflammatory proteins and breast cancer susceptibility.

methodsWe utilized genome-wide association study (GWAS) data for inflammatory protein levels from 14,824 European individuals as exposure data. The primary outcome data were obtained from BC GWAS summary statistics, with an additional independent BC cohort serving as validation(FinnGen_R12). The primary analysis was conducted using inverse-variance weighted (IVW) method, supplemented by MR-Egger and weighted median approaches. Comprehensive sensitivity analyses included Cochran's Q test, MR-Egger intercept test, MR-PRESSO, and leave-one-out analysis. The causal direction was verified through Steiger test and reverse MR. We further performed multivariable MR (MVMR), linkage disequilibrium score regression (LDSC), and colocalization analysis to strengthen our findings.

resultsAfter Bonferroni correction, we identified a significant inverse genetic association between Leukemia inhibitory factor receptor (LIFR) levels and BC risk. While C-X-C motif chemokine 5 (CXCL5) did not survive Bonferroni correction, it showed significant negative association with BC in MVMR analysis. Reverse MR analyses found no evidence of causal effects of BC on these inflammatory proteins, supporting the direction of our primary findings. Colocalization analysis revealed strong evidence of shared genetic variants between LIFR and BC, suggesting common genetic determinants underlying their relationship.

conclusionThis study provides genetic evidence for causal relationships between inflammatory proteins and BC risk, particularly highlighting the protective role of LIFR. These findings enhance our understanding of BC pathogenesis and may inform future therapeutic strategies.

Indexed as

Breast cancerColocalization analysisInflammatory protein factorsMendelian randomization

Identifiers

PMID40773112
PMCPMC12331559

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LicenceCC BY-NC-ND
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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.