A noninvasive multianalytical approach establishment for risk assessment and gastric cancer screening

风险评估 癌症 肿瘤科 医学 内科学 计算机科学 计算机安全
作者
Xiaohan Fan,Qian Zhang,Pei Wang,Qianqian Song,Mona Wang,Raquel Mejías‐Luque,Zhexuan Li,Zhou Tong,Jingying Zhang,Weidong Liu,Lan‐Fu Zhang,Wenqing Li,Wei‐Cheng You,Markus Gerhard,Yuchen Jiao,Xiaobing Wang,Kai‐Feng Pan
出处
期刊:International Journal of Cancer [Wiley]
卷期号:154 (6): 1111-1123 被引量:3
标识
DOI:10.1002/ijc.34739
摘要

Abstract Effective screening and early detection are critical to improve the prognosis of gastric cancer (GC). Our study aims to explore noninvasive multianalytical biomarkers and construct integrative models for preliminary risk assessment and GC detection. Whole genomewide methylation marker discovery was conducted with CpG tandems target amplification (CTTA) in cfDNA from large asymptomatic screening participants in a high‐risk area of GC. The methylation and mutation candidates were validated simultaneously using one plasma from patients at various gastric lesion stages by multiplex profiling with Mutation Capsule Plus (MCP). Helicobacter pylori specific antibodies were detected with a recomLine assay. Integrated models were constructed and validated by the combination of multianalytical biomarkers. A total of 146 and 120 novel methylation markers were found in CpG islands and promoter regions across the genome with CTTA. The methylation markers together with the candidate mutations were validated with MCP and used to establish a 133‐methylation‐marker panel for risk assessment of suspicious precancerous lesions and GC cases and a 49‐methylation‐marker panel as well as a 144‐amplicon‐mutation panel for GC detection. An integrated model comprising both methylation and specific antibody panels performed better for risk assessment than a traditional model (AUC, 0.83 and 0.63, P < .001). A second model for GC detection integrating methylation and mutation panels also outperformed the traditional model (AUC, 0.82 and 0.68, P = .005). Our study established methylation, mutation and H. pylori ‐specific antibody panels and constructed two integrated models for risk assessment and GC screening. Our findings provide new insights for a more precise GC screening strategy in the future.
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