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Articles Published Processes
1/26/2018 8:09:36 AM | Browse: 1037 | Download: 1256
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Received |
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2017-11-05 02:56 |
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Peer-Review Started |
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2017-11-05 09:45 |
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To Make the First Decision |
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2017-11-15 03:41 |
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Return for Revision |
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2017-11-16 11:43 |
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Revised |
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2017-11-17 22:25 |
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Second Decision |
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2017-11-28 08:45 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2017-12-07 03:55 |
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Articles in Press |
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2017-12-07 03:55 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2017-12-26 00:57 |
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Publish the Manuscript Online |
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2018-01-26 08:09 |
ISSN |
1948-5182 (online) |
Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Mathematical & Computational Biology |
Manuscript Type |
Meta-Analysis |
Article Title |
Epigenetic basis of hepatocellular carcinoma: A network-based integrative meta-analysis
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Manuscript Source |
Invited Manuscript |
All Author List |
Venkat Bhat, Sujitha Srinathan, Elisa Pasini, Marc Angeli, Emily Chen, Cristina Baciu and Mamatha Bhat |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Mamatha Bhat, FRCP (C), MD, MSc, Lecturer, Staff Physician, Multi Organ Transplant Program and Division of Gastroenterology, Department of Medicine, University Health Network and University of Toronto, 585 University Avenue, Toronto M5G2N2, Ontario, Canada. mamatha.bhat@uhn.ca |
Key Words |
Hepatocellular carcinoma; Methylation; Network analysis |
Core Tip |
Hepatocellular carcinoma (HCC) is a high-fatality cancer with limited screening biomarkers and therapeutic options. It arises in the context of chronic liver disease, having accumulated epigenetic changes over time. The goal of this study was to perform an integrative network-based meta-analysis of all genome-wide DNA methylation data in HCC. Using bioinformatics tools, we identified the most important aberrantly methylated genes and associated pathways. G-protein receptor signaling was the most significantly associated with HCC based on differential methylation of involved genes, which is consistent with the implication of the Ras/Raf/MAPK and mTOR pathways. The identification of novel epigenetically modified genes such as HIST1H2AJ within known pathways suggests targeting of the epigenome as a potential therapeutic avenue for HCC. |
Publish Date |
2018-01-26 08:09 |
Citation |
Bhat V, Srinathan S, Pasini E, Angeli M, Chen E, Baciu C, Bhat M. Epigenetic basis of hepatocellular carcinoma: A network-based integrative meta-analysis. World J Hepatol 2018; 10(1): 155-165 |
URL |
http://www.wjgnet.com/1948-5182/full/v10/i1/155.htm |
DOI |
http://dx.doi.org/10.4254/wjh.v10.i1.155 |
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