Evidence map›Paper›PMID 40353932›Full record

ArticleDiscover oncology2025

Research trends and hotspots of single nucleotide polymorphisms in endometrial cancer: a bibliometric analysis.

Renjie Wang, Zhihong Jia, Liang Peng, Jinghui Xu, Qiying Zhu, Yinghong Wu

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

6 authors.

Renjie Wang *Department of Pathology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Zhihong Jia *Department of Pathology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Liang PengDepartment of Gynecology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Jinghui XuDepartment of Pathology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Qiying ZhuDepartment of Pathology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China.
Yinghong WuDepartment of Pathology, The Second People's Hospital of Jingdezhen, Jingdezhen, 333000, Jiangxi, China. wuyinghong84@163.com.

Funding

Planned Project of Jingdezhen Science and Technology Bureau 20224PTJS003
6 · The paper itself

Abstract

backgroundEndometrial cancer (EC) is a common gynecological malignancy with increasing incidence, especially in developed nations. Understanding genetic variations, particularly single nucleotide polymorphisms (SNPs), is crucial for uncovering the disease's pathogenesis, progression, and treatment responses. This study explores the global research landscape of SNPs in EC, focusing on field evolution, key contributors, and emerging trends.

methodsA systematic search of the Web of Science Core Collection (WoSCC) retrieved 838 publications on SNPs in EC from 1991 to 2024. Bibliometric indicators, including publication volume, citation counts, and keyword occurrences, were analyzed using VOSviewer, CiteSpace, and the R package "bibliometrix" for visual mapping and trend analysis.

resultsThe United States (230 publications) and China (182 publications) were leaders in research output. Harvard University and the National Cancer Institute were prominent contributors. Key themes included "microsatellite instability" (a hallmark of DNA mismatch repair deficiency) and "genome-wide association studies" (GWAS), identifying susceptibility loci like HNF1B and CYP19A1. Recent trends, such as "Mendelian randomization," have enhanced causal inference in risk factor studies. SNP research has advanced risk prediction models and personalized therapeutic strategies, such as hormone therapy tailored to genetic profiles.

conclusionSNP research has deepened our understanding of EC's genetic basis, with a growing emphasis on Mendelian randomization and GWAS. These advancements have refined risk prediction and opened new avenues for personalized medicine. Integrating SNP data with environmental and hormonal factors remains crucial for advancing prevention, diagnosis, and treatment strategies in EC.

Indexed as

Bibliometric analysisEndometrial cancerPersonalized medicineSingle nucleotide polymorphisms

Identifiers

PMID40353932
PMCPMC12069169

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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.