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

IF 5.7 2区 医学 Q1 ONCOLOGY
Xiao-Han Fan, Yang Zhang, Pei Wang, Qian-Qian Song, Mona Wang, Raquel Mejias-Luque, Zhe-Xuan Li, Tong Zhou, Jing-Ying Zhang, Wei-Dong Liu, Lan-Fu Zhang, Wen-Qing Li, Wei-Cheng You, Markus Gerhard, Yu-Chen Jiao, Xiao-Bing Wang, Kai-Feng Pan
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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.

Abstract Image

Abstract Image

一种用于风险评估和癌症筛查的无创多分析方法。
有效的筛查和早期检测是改善癌症预后的关键。我们的研究旨在探索非侵入性多分析生物标志物,并构建初步风险评估和GC检测的综合模型。全基因组甲基化标记物的发现是通过CpG串联靶点扩增(CTTA)在GC高危地区的大型无症状筛查参与者的cfDNA中进行的。通过突变胶囊Plus(MCP)的多重分析,使用来自不同胃病变阶段患者的一份血浆同时验证甲基化和突变候选物。用recomLine法检测幽门螺杆菌特异性抗体。通过多种分析生物标志物的组合构建并验证了综合模型。在CTTA基因组的CpG岛和启动子区共发现146和120个新的甲基化标记。甲基化标记物和候选突变用MCP进行验证,并用于建立用于可疑癌前病变和GC病例风险评估的133甲基化标记组、用于GC检测的49甲基化标记和144扩增子突变组。包含甲基化和特异性抗体组的综合模型在风险评估方面比传统模型表现更好(AUC,0.83和0.63,P
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来源期刊
CiteScore
13.40
自引率
3.10%
发文量
460
审稿时长
2 months
期刊介绍: The International Journal of Cancer (IJC) is the official journal of the Union for International Cancer Control—UICC; it appears twice a month. IJC invites submission of manuscripts under a broad scope of topics relevant to experimental and clinical cancer research and publishes original Research Articles and Short Reports under the following categories: -Cancer Epidemiology- Cancer Genetics and Epigenetics- Infectious Causes of Cancer- Innovative Tools and Methods- Molecular Cancer Biology- Tumor Immunology and Microenvironment- Tumor Markers and Signatures- Cancer Therapy and Prevention
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