Literature DB >> 25075038

Serum vimentin methylation as a potential marker for colorectal cancer.

Atsushi Shirahata1, Kenji Hibi2.   

Abstract

AIMS: The present study aimed to examine the feasibility of detecting vimentin (VIM) methylation in the serum of patients with colorectal cancer (CRC) and to determine the effectiveness of a relatively simple, inexpensive, and non-invasive test performed in combination with the conventional carcinoembryonic antigen analysis.
MATERIALS AND METHODS: VIM methylation in the serum DNA of 242 patients with CRC was measured by a quantitative methylation-specific polymerase chain reaction.
RESULTS: A significantly higher positive rate was obtained for VIM methylation than for carcinoembryonic antigen or carbohydrate antigen 19-9 in stage 0, I, and II patients. The combination of all three markers yielded similar sensitivity for patients with disease of stage 0: 57.1%, I: 36.1%, II: 45.2%, and III: 55.4%, whereas the sensitivity reached 85.7% for patients with stage IV disease.
CONCLUSION: VIM methylation of serum DNA may be a useful marker for the early detection of CRC. Copyright
© 2014 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Entities:  

Keywords:  Colorectal cancer; methylation; vimentin

Mesh:

Substances:

Year:  2014        PMID: 25075038

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  19 in total

1.  Combined detection of plasma GATA5 and SFRP2 methylation is a valid noninvasive biomarker for colorectal cancer and adenomas.

Authors:  Xie Zhang; Yu-Fei Song; Hong-Na Lu; Dan-Ping Wang; Xue-Song Zhang; Shi-Liang Huang; Bei-Lei Sun; Zhi-Gang Huang
Journal:  World J Gastroenterol       Date:  2015-03-07       Impact factor: 5.742

2.  Detection of SPG20 gene promoter-methylated DNA, as a novel epigenetic biomarker, in plasma for colorectal cancer diagnosis using the MethyLight method.

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3.  Methods for Determining the Cellular Functions of Vimentin Intermediate Filaments.

Authors:  Karen M Ridge; Dale Shumaker; Amélie Robert; Caroline Hookway; Vladimir I Gelfand; Paul A Janmey; Jason Lowery; Ming Guo; David A Weitz; Edward Kuczmarski; Robert D Goldman
Journal:  Methods Enzymol       Date:  2015-12-19       Impact factor: 1.600

4.  Genome-wide DNA methylation profiling and identification of potential pan-cancer and tumor-specific biomarkers.

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5.  Technical considerations in PCR-based assay design for diagnostic DNA methylation cancer biomarkers.

Authors:  Maartje Massen; Kim Lommen; Kim A D Wouters; Johan Vandersmissen; Wim van Criekinge; James G Herman; Veerle Melotte; Leo J Schouten; Manon van Engeland; Kim M Smits
Journal:  Clin Epigenetics       Date:  2022-04-27       Impact factor: 7.259

Review 6.  Diagnostic Performance of DNA Hypermethylation Markers in Peripheral Blood for the Detection of Colorectal Cancer: A Meta-Analysis and Systematic Review.

Authors:  Bingsheng Li; Aihua Gan; Xiaolong Chen; Xinying Wang; Weifeng He; Xiaohui Zhang; Renxiang Huang; Shuzhu Zhou; Xiaoxiao Song; Angao Xu
Journal:  PLoS One       Date:  2016-05-09       Impact factor: 3.240

7.  Stromal Expression of Vimentin Predicts the Clinical Outcome of Stage II Colorectal Cancer for High-Risk Patients.

Authors:  Li-Guo Liu; Xue-Bing Yan; Ru-Ting Xie; Zhi-Ming Jin; Yi Yang
Journal:  Med Sci Monit       Date:  2017-06-14

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Authors:  Reetta Holmila; Athena Sklias; David C Muller; Davide Degli Esposti; Paule Guilloreau; James Mckay; Suleeporn Sangrajrang; Petcharin Srivatanakul; Pierre Hainaut; Philippe Merle; Zdenko Herceg; Andre Nogueira da Costa
Journal:  PLoS One       Date:  2017-03-23       Impact factor: 3.240

Review 9.  DNA Methylation as a Noninvasive Epigenetic Biomarker for the Detection of Cancer.

Authors:  Catherine Leygo; Marissa Williams; Hong Chuan Jin; Michael W Y Chan; Wai Kit Chu; Michael Grusch; Yuen Yee Cheng
Journal:  Dis Markers       Date:  2017-09-05       Impact factor: 3.434

10.  Using machine learning algorithms to identify genes essential for cell survival.

Authors:  Santosh Philips; Heng-Yi Wu; Lang Li
Journal:  BMC Bioinformatics       Date:  2017-10-03       Impact factor: 3.169

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