Literature DB >> 32531444

Identifying potential DNA methylation markers in early-stage colorectal Cancer.

Xiaoyu Zhang1, Shenmei Wan1, Yanqi Yu1, Weimei Ruan2, Hong Wang2, Linhao Xu2, Chanjuan Wang1, Shang Chen1, Tianfeng Cao1, Quanzhou Peng1, Sihui Li2, Tianliang Hu2, Zeyu Jiang2, Zhiwei Chen3, Jian-Bing Fan4.   

Abstract

Colorectal cancer (CRC) is the second leading malignancy worldwide. Accurate screening is pivotal to early CRC detection, yet current screening modality involves invasive colonoscopy while non-invasive FIT tests have limited sensitivity. We applied a DNA methylation assay to identify biomarkers for early-stage CRC detection, risk stratification and precancerous lesion screening at tissue level. A model of biomarkers SFMBT2, ITGA4, THBD and ZNF304 showed 96.1% sensitivity and 87.0% specificity in CRC detection, with 100.0% sensitivity for advanced precancerous lesion and stage I CRC. Performances were further validated with TCGA data set, which showed a consistent AUC of 0.99 and exhibited specificity against other cancer types. KCNJ12, VAV3-AS1 and EVC were further identified for stage stratification (stage 0-I versus stage II-IV), with AUC of 0.87, 83.0% sensitivity and 71.2% specificity. Additionally, dual markers of NEUROD1 and FAM72C showed 83.2% sensitivity and 77.4% specificity in differing non-advanced precancerous lesions from inflammatory bowel diseases.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Early-stage colorectal cancer; Methylation biomarkers; Methylation profiling

Year:  2020        PMID: 32531444     DOI: 10.1016/j.ygeno.2020.06.007

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  9 in total

1.  The early predictive effect of low expression of the ITGA4 in colorectal cancer.

Authors:  Jiahao Mo; Jiahui Zhang; Haocheng Huang; Chang Liu; Yi Cheng; Yan Mo; Shaohua Wu; Yao Zhong; Cailing Zhong; Beiping Zhang
Journal:  J Gastrointest Oncol       Date:  2022-02

2.  Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay.

Authors:  Yunfeng Zhang; Qian Wu; Linhao Xu; Hong Wang; Xin Liu; Sihui Li; Tianliang Hu; Yanying Liu; Quanzhou Peng; Zhiwei Chen; Xianrui Wu; Jian-Bing Fan
Journal:  Clin Epigenetics       Date:  2021-04-23       Impact factor: 6.551

3.  Identification and Prognostic Value Exploration of Radiotherapy Sensitivity-Associated Genes in Non-Small-Cell Lung Cancer.

Authors:  Qing Ma; Kai Geng; Ping Xiao; Lili Zeng
Journal:  Biomed Res Int       Date:  2021-09-02       Impact factor: 3.411

4.  Chitosan oligosaccharides packaged into rat adipose mesenchymal stem cells-derived extracellular vesicles facilitating cartilage injury repair and alleviating osteoarthritis.

Authors:  Shenglong Li; Jie Liu; Siyu Liu; Weijie Jiao; Xiaohong Wang
Journal:  J Nanobiotechnology       Date:  2021-10-26       Impact factor: 10.435

5.  A Novel Stool Methylation Test for the Non-Invasive Screening of Gastric and Colorectal Cancer.

Authors:  Liang Ma; Jian Gong; Meimei Zhao; Xiaomu Kong; Peng Gao; Yongwei Jiang; Yi Liu; Xiaoyan Feng; Shuang Si; Yongtong Cao
Journal:  Front Oncol       Date:  2022-03-28       Impact factor: 6.244

6.  Construction of Prognostic Risk Model of Patients with Skin Cutaneous Melanoma Based on TCGA-SKCM Methylation Cohort.

Authors:  Xiaoming Yu; Ping Cong; Wei Wei; Yong Zhou; Zhengqiang Bao; Huaying Hou
Journal:  Comput Math Methods Med       Date:  2022-08-25       Impact factor: 2.809

7.  Lymph Node Metastasis-Related Gene ITGA4 Promotes the Proliferation, Migration, and Invasion of Gastric Cancer Cells by Regulating Tumor Immune Microenvironment.

Authors:  Tianyi Fang; Xin Yin; Yufei Wang; Hao Wang; Xibo Wang; Yingwei Xue
Journal:  J Oncol       Date:  2022-10-08       Impact factor: 4.501

8.  Comprehensive Characterization of Integrin Subunit Genes in Human Cancers.

Authors:  Kaisa Cui; Xiaohan Wu; Liang Gong; Surui Yao; Shengbai Sun; Bingxin Liu; Mingyue Zhou; Yuan Yin; Zhaohui Huang
Journal:  Front Oncol       Date:  2021-06-16       Impact factor: 6.244

9.  DNA Methylation of PI3K/AKT Pathway-Related Genes Predicts Outcome in Patients with Pancreatic Cancer: A Comprehensive Bioinformatics-Based Study.

Authors:  Inês Faleiro; Vânia Palma Roberto; Secil Demirkol Canli; Nicolas A Fraunhoffer; Juan Iovanna; Ali Osmay Gure; Wolfgang Link; Pedro Castelo-Branco
Journal:  Cancers (Basel)       Date:  2021-12-17       Impact factor: 6.639

  9 in total

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