Literature DB >> 24288256

Commonality and differences of methylation signatures in the plasma of patients with pancreatic cancer and colorectal cancer.

Joshua Melson1, Yan Li, Elisa Cassinotti, Anatoliy Melnikov, Luigi Boni, Junmei Ai, Michael Greenspan, Sohrab Mobarhan, Victor Levenson, Youping Deng.   

Abstract

Profiling of DNA methylation status of specific genes is a way to screen for colorectal cancer (CRC) and pancreatic cancer (PC) in blood. The commonality of methylation status of cancer-related tumor suppressor genes between CRC and PC is largely unknown. Methylation status of 56 cancer-related genes was compared in plasma of patients in the following cohorts: CRC, PC and healthy controls. Cross validation determined the best model by area under ROC curve (AUC) to differentiate cancer methylation profiles from controls. Optimal preferential gene methylation signatures were derived to differentiate either cancer (CRC or PC) from controls. For CRC alone, a three gene signature (CYCD2, HIC and VHL) had an AUC 0.9310, sensitivity (Sens) = 0.826, specificity (Spec) = 0.9383. For PC alone, an optimal signature consisted of five genes (VHL, MYF3, TMS, GPC3 and SRBC), AUC 0.848; Sens = 0.807, Spec = 0.666. Combined PC and CRC signature or "combined cancer signature" was derived to differentiate either CRC and PC from controls (MDR1, SRBC, VHL, MUC2, RB1, SYK and GPC3) AUC = 0.8177, Sens = 0.6316 Spec = 0.840. In a validation cohort, N = 10 CRC patients, the optimal CRC signature (CYCD2, HIC and VHL) had AUC 0.900. In all derived signatures (CRC, PC and combined cancer signature) the optimal panel used preferential VHL methylation. In conclusion, CRC and PC differ in specific genes methylated in plasma other than VHL. Preferential methylation of VHL is shared in the optimal signature for CRC alone, PC alone and combined PC and CRC. Future investigations may identify additional methylation markers informative for the presence of both CRC and PC.
© 2013 UICC.

Entities:  

Keywords:  biomarkers; cancer screening; colorectal cancer; epigenetics; methylation; pancreatic cancer

Mesh:

Substances:

Year:  2013        PMID: 24288256     DOI: 10.1002/ijc.28593

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  12 in total

Review 1.  Liquid biopsy in lymphoma: Molecular methods and clinical applications.

Authors:  Melita Cirillo; Alexander F M Craig; Sven Borchmann; David M Kurtz
Journal:  Cancer Treat Rev       Date:  2020-09-22       Impact factor: 12.111

Review 2.  Genomic profiling guides the choice of molecular targeted therapy of pancreatic cancer.

Authors:  Thomas S Frank; Xiaotian Sun; Yuqing Zhang; Jingxuan Yang; William E Fisher; Marie-Claude Gingras; Min Li
Journal:  Cancer Lett       Date:  2015-04-15       Impact factor: 8.679

3.  Integrating Genome and Methylome Data to Identify Candidate DNA Methylation Biomarkers for Pancreatic Cancer Risk.

Authors:  Jingjing Zhu; Yaohua Yang; John B Kisiel; Douglas W Mahoney; Dominique S Michaud; Xingyi Guo; William R Taylor; Xiao-Ou Shu; Xiang Shu; Duo Liu; Bingshan Li; Ran Tao; Qiuyin Cai; Wei Zheng; Jirong Long; Lang Wu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-09-08       Impact factor: 4.254

Review 4.  Methylated circulating tumor DNA as a biomarker for colorectal cancer diagnosis, prognosis, and prediction.

Authors:  Farah J Nassar; Zahraa S Msheik; Rihab R Nasr; Sally N Temraz
Journal:  Clin Epigenetics       Date:  2021-05-17       Impact factor: 6.551

5.  A seven-gene CpG-island methylation panel predicts breast cancer progression.

Authors:  Yan Li; Anatoliy A Melnikov; Victor Levenson; Emanuela Guerra; Pasquale Simeone; Saverio Alberti; Youping Deng
Journal:  BMC Cancer       Date:  2015-05-19       Impact factor: 4.430

6.  Functional genomics, genetics, and bioinformatics.

Authors:  Youping Deng; Hongwei Wang; Ryuji Hamamoto; David Schaffer; Shiwei Duan
Journal:  Biomed Res Int       Date:  2015-04-22       Impact factor: 3.411

7.  Functional Genomics, Genetics, and Bioinformatics 2016.

Authors:  Youping Deng; Hongwei Wang; Ryuji Hamamoto; Shiwei Duan; Mehdi Pirooznia; Yongsheng Bai
Journal:  Biomed Res Int       Date:  2016-11-22       Impact factor: 3.411

Review 8.  The evidence base for circulating tumour DNA blood-based biomarkers for the early detection of cancer: a systematic mapping review.

Authors:  Ian A Cree; Lesley Uttley; Helen Buckley Woods; Hugh Kikuchi; Anne Reiman; Susan Harnan; Becky L Whiteman; Sian Taylor Philips; Michael Messenger; Angela Cox; Dawn Teare; Orla Sheils; Jacqui Shaw
Journal:  BMC Cancer       Date:  2017-10-23       Impact factor: 4.430

Review 9.  Epigenetic Biomarkers in Cell-Free DNA and Applications in Liquid Biopsy.

Authors:  Wanxia Gai; Kun Sun
Journal:  Genes (Basel)       Date:  2019-01-09       Impact factor: 4.096

Review 10.  Impact of circulating tumor DNA in hepatocellular and pancreatic carcinomas.

Authors:  Sameer A Dhayat; Zixuan Yang
Journal:  J Cancer Res Clin Oncol       Date:  2020-04-27       Impact factor: 4.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.