Evidence map›Paper›PMID 42064062›Full record

ArticleFrontiers in immunology2026

Genetic variants of

Guang Zeng, Guoqiang Lu, Beiping Hu, Midie Xu, Guanlin Li, Mengyun Wang, Lixin Qiu, Ruoxin Zhang, Lei Cheng, Wanghong Xu and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2026. 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

14 authors.

Guang ZengDepartment of Epidemiology, School of Public Health, and The Research Institute for Cancer Control and Prevention, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, China.
Guoqiang LuDepartment of Epidemiology, School of Public Health, and The Research Institute for Cancer Control and Prevention, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, China.
Beiping HuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Midie XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Guanlin LiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Mengyun WangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Lixin QiuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Ruoxin ZhangDepartment of Epidemiology, School of Public Health; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Lei ChengDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Wanghong XuDepartment of Epidemiology, School of Public Health; Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Xiaowen LiuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Guangfu JinDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Hongliang LiuDepartment of Epidemiology, School of Public Health, and The Research Institute for Cancer Control and Prevention, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, China.
Qingyi WeiDepartment of Epidemiology, School of Public Health, and The Research Institute for Cancer Control and Prevention, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Natural killer (NK) cells play a pivotal role in anti-tumor immunity; however, the prognostic significance of genetic variants in NK cell-related genes in gastric cancer (GC) remains largely uncertain. Methods: We systematically evaluated 12,476 single-nucleotide polymorphisms (SNPs) in 151 NK cell-related genes for their associations with overall survival (OS) in 2,211 Chinese GC patients with pathological tumor-node-metastasis (TNM) stage I-III, who were enrolled in the Shanghai genome-wide association study (GWAS). Significant variants were further validated in an independent Jiangsu GWAS cohort comprising 1,049 GC patients with TNM stage I-III. The prognostic value of independent SNPs was evaluated. Bioinformatic annotations were performed through expression QTL, splicing QTL, histone modification QTL, and methylation QTL analyses, as well as transcription factor binding, differential expression, functional enrichment, and immune infiltration analyses. Results: Three independent SNPs ( Conclusions: We identified three novel SNPs in NK cell-related genes that independently predict GC survival, providing potential prognostic biomarkers for risk stratification in GC, although further validation is warranted.

Indexed as

Antigens, CDInterleukin-15Killer Cells, NaturalPolymorphism, Single NucleotideStomach NeoplasmsBiomarkers, Tumorc-Mer Tyrosine KinaseFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGPI-Linked ProteinsHumansMaleMiddle AgedPrognosisAntigens, CDBiomarkers, Tumorc-Mer Tyrosine KinaseGPI-Linked ProteinsIL15 protein, humanInterleukin-15MERTK protein, humangastric cancernatural killer cellprognosissingle nucleotide polymorphismtumor microenvironment

Identifiers

PMID42064062
PMCPMC13125121

What OpenQuestion 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 OpenQuestion graph.