Comprehensive molecular characterization of cfDNA as predictive and monitoring biomarkers in advanced gastric cancer receiving immunotherapy

医学 肿瘤科 免疫疗法 DNA甲基化 内科学 甲基化 亚硫酸氢盐测序 癌症 阿扎胞苷 差异甲基化区 亚硫酸氢盐 曲线下面积 深度测序 计算生物学 CpG站点 DNA测序 生物信息学 癌症研究 基因组学 靶向治疗 接收机工作特性 转录组 生物标志物 微卫星不稳定性 生物标志物发现
作者
Ji Fang,Yuhui Yu,Yan Sun,Mengmeng Ji,Yue Jiang,Xiaofeng Chen,Caiwang Yan,Guangfu Jin
出处
期刊:Journal for ImmunoTherapy of Cancer [BMJ]
卷期号:14 (4): e013792-e013792
标识
DOI:10.1136/jitc-2025-013792
摘要

BACKGROUND: Advanced gastric cancer (aGC) exhibits substantial heterogeneity in response to combination immunotherapy. Circulating cell-free DNA (cfDNA) enables non-invasive profiling of tumor dynamics and may provide biomarkers for response prediction. METHODS: We enrolled 94 patients with aGC undergoing combination immunotherapy and assigned them to a discovery set (n=49) and an internal validation set (n=45). Plasma cfDNA was collected pre-treatment and post-treatment and profiled by low-pass whole-genome sequencing and whole-genome bisulfite sequencing in the discovery set, with targeted bisulfite sequencing used in the validation set. RESULTS: The discovery set included 34 responders and 15 non-responders, and the validation set included 30 responders and 15 non-responders. We found that responders showed longer cfDNA, lower cfDNA tumor fraction (median: 0.06 vs 0.01, p<0.001), reduced chromosomal instability (median genomic instability index: 0.026 vs 0.007, p<0.001), and higher global methylation (median: 0.715 vs 0.724, p=0.007). Additionally, the differentially methylated region (DMR) at chr20:25849353-25849490 consistently showed higher methylation in responders in both the discovery (adjusted p=0.006) and validation sets (adjusted p=0.049). A predictor based on this DMR outperformed programmed death-ligand 1 (PD-L1) combined positive score (CPS) with area under the curve (AUCs) of 0.79 (discovery: 95% CI 0.65 to 0.93) and 0.72 (validation: 95% CI 0.54 to 0.91). When integrating PD-L1 CPS with this DMR, the AUCs were 0.81 (discovery: 95% CI 0.67 to 0.95) and 0.75 (validation: 95% CI 0.56 to 0.94), respectively. For on-treatment monitoring, three DMRs increased specifically in responders; among them, increased methylation of chr8:110479193-110480324 and chr8:50891437-50892120 was associated with improved progression-free survival (median: 4.90 vs 11.57 months, p<0.001; median: 5.20 vs 10.20 months, p=0.007). CONCLUSION: Integrated cfDNA profiling captures immunotherapy-associated molecular dynamics in aGC. A single pretreatment cfDNA methylation marker (chr20:25849353-25849490) improves response prediction beyond PD-L1 CPS and represents a potential predictive biomarker for combination immunotherapy.
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