Evidence map›Paper›PMID 42138601›Full record

ArticleMolecular carcinogenesis2026

Potentially Functional Variants in FCER1A and PLCG2, Two B Cell-Related Immune Genes Predict the Survival of Chinese Gastric Cancer Patients.

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

Abstract read
In one paragraph

Article in Molecular carcinogenesis, 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.ORCID 0009-0001-3683-8062
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.ORCID 0009-0001-5459-9472
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.ORCID 0000-0002-3009-0655
Lei ChengDepartment of Pulmonary, Shanghai Chest Hospital, Shanghai Jiao Tong 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.
Wanghong XuDepartment of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.ORCID 0000-0003-2045-2218
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.ORCID 0000-0003-0249-5337
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.ORCID 0000-0002-3845-9445

Funding

Greater Bay Area Institute of Precision Medicine, Fudan University, Guangzhou, China
6 · The paper itself

Abstract

B cells are integral components of the tumor microenvironment (TME) and influence the progression, prognosis, and immunotherapy response of gastric cancer (GC). However, the prognostic relevance of germline variants in B cell-related immune genes remains undefined. We performed a two-stage genome-wide association analysis to identify single-nucleotide polymorphisms (SNPs) in B cell-related immune genes associated with overall survival (OS) in patients with pathologic tumor-node-metastasis (pTNM) stage I-III GC. Clinical, follow-up, and genome-wide association study (GWAS) genotyping data were analyzed from two independent Eastern Chinese cohorts (Shanghai, N = 2211; Jiangsu, N = 1049). Functional annotation, quantitative trait loci (QTL), and immune infiltration analyses were conducted. Among 15,857 SNPs across 223 genes, 210 were associated with OS in the discovery cohort, nine of which were validated. Two independent functional variants-FCER1A rs539959920 C > T and PLCG2 rs72832034 C > T-were consistently associated with poorer OS (adjusted HR = 1.19, 95% CI = 1.04-1.37, p = 0.014; HR = 1.34, 95% CI = 1.09-1.64, p = 0.005). Patients carrying multiple unfavorable genotypes exhibited a dose-dependent decline in survival (P

Indexed as

Biomarkers, TumorB-LymphocytesPhospholipase C gammaPolymorphism, Single NucleotideStomach NeoplasmsAgedChinaEast Asian PeopleFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPrognosisQuantitative Trait LociBiomarkers, TumorPhospholipase C gammaB cellgastric cancerimmune geneoverall survivalsingle nucleotide polymorphism

Identifiers

PMID42138601
PMCPMC13372433

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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.