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

生物 免疫系统 单核苷酸多态性 表达数量性状基因座 基因分型 生殖系 基因 全基因组关联研究 基因型 免疫疗法 等位基因 免疫学 癌症 遗传学 遗传关联 RNA剪接 数量性状位点 表型 癌症研究 选择性拼接 生存分析 种系突变 转录组 肿瘤微环境 CD8型 SNP公司 基因表达 肿瘤科
作者
Guang Zeng,吕国强,Beiping Hu,Midie Xu,G Li,Mengyun Wang,Lixin Qiu,Lei Cheng,Ruoxin Zhang,Wanghong Xu,Xiaowen Liu,Guangfu Jin,Hongliang Liu,Qingyi Wei
出处
期刊:Molecular Carcinogenesis [Wiley]
标识
DOI:10.1002/mc.70125
摘要

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 trend = 0.002). Incorporation of these SNPs modestly improved time‐dependent AUCs for OS prediction at 36 months. Single‐cell expression and splicing QTL analyses demonstrated allele‐specific modulation of FCER1A and PLCG2 expression across immune cell subsets, consistent with altered immune infiltration patterns in the GC TME. These findings suggest that two germline variants in FCER1A and PLCG2 independently predict GC survival, likely through transcriptional and immunologic modulation, thereby nominating these variants as potential immune‐genetic biomarkers for GC prognosis and therapeutic stratification.
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