Evidence map›Paper›PMID 40682633›Full record

ArticleDiscover oncology2025

Targeted screening and single-cell analysis of genetic variants in melanoma using Mendelian randomization.

Shi Li, Kaijiong Zhang, Guiji Zhang, Min Shi, Xing Yin, Bo Wang

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

Shi LiDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Kaijiong ZhangDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Guiji ZhangDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Min ShiDepartment of Pathology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Xing YinDepartment of Clinical Laboratory, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Center, Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Bo WangDepartment of Surgery, Chengdu Transportation Hospital, Chengdu, 610057, China. wangbo_jtyy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study utilizes Mendelian randomization to investigate melanoma's epidemiological patterns and genetic variants for improved disease prevention and control.

methodsWe combined SNP data from GTEx V8 eQTL and FinnGen databases for Mendelian randomization analysis, and performed single-cell analysis on melanoma samples.

resultsMelanoma rates were higher in men than women and increased with age. Key SNPs like rs12703054 were identified as causally associated with melanoma. Single-cell analysis revealed cellular heterogeneity in the tumor microenvironment, with HLA-E, ZNF578, CDK4, SRPK2, and TSPAN31 identified as potentially significant genes.

conclusionOur integrated analysis of epidemiological patterns and genetic determinants of melanoma provides evidence for targeted surveillance of high-risk populations and establishes groundwork for developing personalized treatment approaches.

Indexed as

Genetic variantsMelanomaMendelian randomizationSingle-Cell analysisSNPs

Identifiers

PMID40682633
PMCPMC12276172

What Socratic holds

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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 Socratic graph.