Elisa Cassinotti and Joshua Melson contributed equally to this work.
Early Detection and Diagnosis
DNA methylation patterns in blood of patients with colorectal cancer and adenomatous colorectal polyps
Version of Record online: 19 NOV 2011
Copyright © 2011 UICC
International Journal of Cancer
Volume 131, Issue 5, pages 1153–1157, 1 September 2012
How to Cite
Cassinotti, E., Melson, J., Liggett, T., Melnikov, A., Yi, Q., Replogle, C., Mobarhan, S., Boni, L., Segato, S. and Levenson, V. (2012), DNA methylation patterns in blood of patients with colorectal cancer and adenomatous colorectal polyps. Int. J. Cancer, 131: 1153–1157. doi: 10.1002/ijc.26484
- Issue online: 27 JUN 2012
- Version of Record online: 19 NOV 2011
- Accepted manuscript online: 22 OCT 2011 11:16PM EST
- Manuscript Accepted: 15 SEP 2011
- Manuscript Received: 1 AUG 2011
- NIH. Grant Number: R21RR024420
Colorectal cancer (CRC) screening rates are currently suboptimal. Blood-based screening could improve rates of earlier detection for CRC and adenomatous colorectal polyps. In this study, we evaluated the feasibility of plasma-based detection of early CRC and adenomatous polyps using array-mediated analysis methylation profiling of 56 genes implicated in carcinogenesis. Methylation of 56 genes in patients with Stages I and II CRC (N = 30) and those with adenomatous polyps (N = 30) were compared with individuals who underwent colonoscopy and were found to have neither adenomatous changes nor CRC. Composite biomarkers were developed for adenomatous polyps and CRC, and their sensitivity and specificity was estimated using five-fold cross validation. Six promoters (CYCD2, HIC1, PAX 5, RASSF1A, RB1 and SRBC) were selected for the biomarker, which differentiated CRC patients and controls with 84% sensitivity and 68% specificity. Three promoters (HIC1, MDG1 and RASSF1A) were selected for the biomarker, which differentiated patients with adenomatous polyps and controls with sensitivity of 55% and specificity of 65%. Methylation profiling of plasma DNA can detect early CRC with significant accuracy and shows promise as a methodology to develop biomarkers for CRC screening.