Literature DB >> 34465601

EpiPanGI Dx: A Cell-free DNA Methylation Fingerprint for the Early Detection of Gastrointestinal Cancers.

Raju Kandimalla1, Jianfeng Xu2,3, Wei Li4,3, Ajay Goel5,6,7, Alexander Link8, Takatoshi Matsuyama9, Kensuke Yamamura10, M Iqbal Parker11, Hiroyuki Uetake12, Francesc Balaguer13, Erkut Borazanci14, Susan Tsai15, Douglas Evans15, Stephen J Meltzer16, Hideo Baba10, Randall Brand17, Daniel Von Hoff14,18.   

Abstract

PURPOSE: DNA methylation alterations have emerged as front-runners in cell-free DNA (cfDNA) biomarker development. However, much effort to date has focused on single cancers. In this context, gastrointestinal (GI) cancers constitute the second leading cause of cancer-related deaths worldwide; yet there is no blood-based assay for the early detection and population screening of GI cancers. EXPERIMENTAL
DESIGN: Herein, we performed a genome-wide DNA methylation analysis of multiple GI cancers to develop a pan-GI diagnostic assay. By analyzing DNA methylation data from 1,781 tumor and adjacent normal tissues, we first identified differentially methylated regions (DMR) between individual GI cancers and adjacent normal, as well as across GI cancers. We next prioritized a list of 67,832 tissue DMRs by incorporating all significant DMRs across various GI cancers to design a custom, targeted bisulfite sequencing platform. We subsequently validated these tissue-specific DMRs in 300 cfDNA specimens and applied machine learning algorithms to develop three distinct categories of DMR panels
RESULTS: We identified three distinct DMR panels: (i) cancer-specific biomarker panels with AUC values of 0.98 (colorectal cancer), 0.98 (hepatocellular carcinoma), 0.94 (esophageal squamous cell carcinoma), 0.90 (gastric cancer), 0.90 (esophageal adenocarcinoma), and 0.85 (pancreatic ductal adenocarcinoma); (ii) a pan-GI panel that detected all GI cancers with an AUC of 0.88; and (iii) a multi-cancer (tissue of origin) prediction panel, EpiPanGI Dx, with a prediction accuracy of 0.85-0.95 for most GI cancers.
CONCLUSIONS: Using a novel biomarker discovery approach, we provide the first evidence for a cfDNA methylation assay that offers robust diagnostic accuracy for GI cancers. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 34465601      PMCID: PMC8595812          DOI: 10.1158/1078-0432.CCR-21-1982

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  22 in total

Review 1.  Toward the Early Detection of Cancer by Decoding the Epigenetic and Environmental Fingerprints of Cell-Free DNA.

Authors:  Ymke van der Pol; Florent Mouliere
Journal:  Cancer Cell       Date:  2019-10-14       Impact factor: 31.743

2.  Response to W.C. Taylor, and C. Fiala and E.P. Diamandis.

Authors:  M C Liu; G R Oxnard; E A Klein; C Swanton; M Seiden
Journal:  Ann Oncol       Date:  2020-06-19       Impact factor: 32.976

Review 3.  DNA methylation-based biomarkers in bladder cancer.

Authors:  Raju Kandimalla; Angela A van Tilborg; Ellen C Zwarthoff
Journal:  Nat Rev Urol       Date:  2013-04-30       Impact factor: 14.432

Review 4.  The challenges of tumor genetic diversity.

Authors:  Edmund A Mroz; James W Rocco
Journal:  Cancer       Date:  2016-11-08       Impact factor: 6.860

Review 5.  DNA methylation based biomarkers in colorectal cancer: A systematic review.

Authors:  Kevin Lam; Kathy Pan; Janneke Fiona Linnekamp; Jan Paul Medema; Raju Kandimalla
Journal:  Biochim Biophys Acta       Date:  2016-07-03

6.  Circulating tumor DNA methylation profiles enable early diagnosis, prognosis prediction, and screening for colorectal cancer.

Authors:  Huiyan Luo; Qi Zhao; Wei Wei; Lianghong Zheng; Shaohua Yi; Gen Li; Wenqiu Wang; Hui Sheng; Hengying Pu; Haiyu Mo; Zhixiang Zuo; Zexian Liu; Chaofeng Li; Chuanbo Xie; Zhaolei Zeng; Weimin Li; Xiaoke Hao; Yuying Liu; Sumei Cao; Wanli Liu; Sarah Gibson; Kang Zhang; Guoliang Xu; Rui-Hua Xu
Journal:  Sci Transl Med       Date:  2020-01-01       Impact factor: 17.956

7.  Discovery, Validation, and Application of Novel Methylated DNA Markers for Detection of Esophageal Cancer in Plasma.

Authors:  Yi Qin; Chung W Wu; William R Taylor; Tarek Sawas; Kelli N Burger; Douglas W Mahoney; Zhifu Sun; Tracy C Yab; Graham P Lidgard; Hatim T Allawi; Navtej S Buttar; Thomas C Smyrk; Prasad G Iyer; David A Katzka; David A Ahlquist; John B Kisiel
Journal:  Clin Cancer Res       Date:  2019-09-16       Impact factor: 12.531

8.  Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA.

Authors:  Shicheng Guo; Dinh Diep; Nongluk Plongthongkum; Ho-Lim Fung; Kang Zhang; Kun Zhang
Journal:  Nat Genet       Date:  2017-03-06       Impact factor: 38.330

9.  Evaluation of variable selection methods for random forests and omics data sets.

Authors:  Frauke Degenhardt; Stephan Seifert; Silke Szymczak
Journal:  Brief Bioinform       Date:  2019-03-22       Impact factor: 11.622

10.  A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway.

Authors:  Micaela Freitas; Fábio Ferreira; Sónia Carvalho; Fernanda Silva; Paula Lopes; Luís Antunes; Sofia Salta; Francisca Diniz; Lúcio Lara Santos; José Flávio Videira; Rui Henrique; Carmen Jerónimo
Journal:  J Transl Med       Date:  2018-02-27       Impact factor: 5.531

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  4 in total

1.  Identification of Hypoxia-Related Subtypes, Establishment of Prognostic Models, and Characteristics of Tumor Microenvironment Infiltration in Colon Cancer.

Authors:  Changjing Wang; Yujie Tang; Hongqing Ma; Sisi Wei; Xuhua Hu; Lianmei Zhao; Guiying Wang
Journal:  Front Genet       Date:  2022-06-17       Impact factor: 4.772

2.  Artificial intelligence-based prediction for cancer-related outcomes in Africa: Status and potential refinements.

Authors:  John Adeoye; Abdulwarith Akinshipo; Peter Thomson; Yu-Xiong Su
Journal:  J Glob Health       Date:  2022-04-23       Impact factor: 7.664

Review 3.  Is Cell-Free DNA Testing in Pancreatic Ductal Adenocarcinoma Ready for Prime Time?

Authors:  Ankur Sheel; Sarah Addison; Surya Pratik Nuguru; Ashish Manne
Journal:  Cancers (Basel)       Date:  2022-07-15       Impact factor: 6.575

4.  Four methylation-driven genes detected by linear discriminant analysis model from early-stage colorectal cancer and their methylation levels in cell-free DNA.

Authors:  Lei Zhan; Changjian Sun; Yu Zhang; Yue Zhang; Yuzhe Jia; Xiaoyan Wang; Feifei Li; Donglin Li; Shen Wang; Tao Yu; Jingdong Zhang; Deyang Li
Journal:  Front Oncol       Date:  2022-09-05       Impact factor: 5.738

  4 in total

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