Evidence map›Paper›PMID 41691058›Full record

SynthesisScientific reports2026

Association of EGFR and EGF gene polymorphisms with cervical cancer in a case-control study and cross-cancer meta-analysis.

Yuhan Shi, Yueting Yao, Fengquan He, Xueya Chen, Jinmei Xu, Zhiling Yan, Li Shi, Yufeng Yao

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 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

8 authors.

Yuhan Shi *Yunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, 650118, China.
Yueting Yao *Department of Medical Laboratory, The 3rd People's Hospital of Yunnan Province, Kunming, 650111, China.
Fengquan HeDepartment of Gynaecology and Obstetrics Maternal, Maternal and Child Health Hospital of Honghe Prefecture, Honghe, 661199, Yunnan, China.
Xueya ChenYunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, 650118, China.
Jinmei XuDepartment of Gynaecologic Oncology, The No. 3 AffiliatedHospital of Kunming Medical University, Kunming, 650118, China.
Zhiling YanDepartment of Gynaecologic Oncology, The No. 3 AffiliatedHospital of Kunming Medical University, Kunming, 650118, China. yanzhiling2021@126.com.
Li ShiAffiliated Hospital of Kunming Medical University, Kunming, 650118, China. shili.imb@gmail.com.
Yufeng YaoYunnan Key Laboratory of Vaccine Research & Development on Severe Infectious Disease, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, 650118, China. yufeng_yao@imbcams.com.cn.

Funding

the CAMS Innovation Fund for Medical Sciences (CIFMS) 2021-I2M-2-004Yunnan Province Xingdian Talent Support Program XDYC-CYCX-2023-0074
6 · The paper itself

Abstract

Cervical cancer (CC) is one of the most prevalent cancers worldwide. Single nucleotide polymorphisms (SNPs) of the epidermal growth factor receptor (EGFR) and epidermal growth factor (EGF) genes are associated with cancers in diverse populations; However, the roles of these genes in CC are uncertain. Associations between these SNPs and CC risk, as well as the risk of pathological type and clinical stage, were analysed. On thebasis of our data, a cross-cancer meta-analysis was performed to assess the roles of nine SNPs of the EGFR and EGF genes in cancer susceptibility. Finally, SNP‒SNP interactions were analysed in the present study. Our data showed that the potential SNP‒SNP interaction between EGFR and EGF may be associated with CC development in Chinese Han individuals. The meta-analysis indicated that these SNPs in EGFR and EGF may be associated with cancer risk, particularly in Asians. Cross-cancer SNP‒SNP interaction analysis demonstrated that the 9-SNP model exhibited significant synergistic effects in predicting cancer risk.

Indexed as

Epidermal Growth FactorErbB ReceptorsGenetic Predisposition to DiseasePolymorphism, Single NucleotideUterine Cervical NeoplasmsAsian PeopleCase-Control StudiesFemaleHumansEGFR protein, humanEpidermal Growth FactorErbB ReceptorsCervical cancerCross-CancerEGFEGFRMeta-analysisSNP

Identifiers

PMID41691058
PMCPMC12992825

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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.