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Articles Published Processes
6/26/2018 12:26:34 AM | Browse: 1315 | Download: 1688
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Received |
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2018-03-27 10:44 |
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Peer-Review Started |
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2018-03-27 10:45 |
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To Make the First Decision |
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2018-04-27 02:23 |
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Return for Revision |
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2018-04-27 08:24 |
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Revised |
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2018-05-02 12:37 |
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Second Decision |
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2018-05-10 09:00 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2018-05-11 04:50 |
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Articles in Press |
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2018-05-11 04:50 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2018-05-27 17:47 |
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Typeset the Manuscript |
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2018-06-25 07:07 |
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Publish the Manuscript Online |
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2018-06-26 00:26 |
| ISSN |
1007-9327 (print) and 2219-2840 (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 |
Genetics & Heredity |
| Manuscript Type |
Basic Study |
| Article Title |
Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Liang Sang, Xue-Mei Wang, Dong-Yang Xu and Wen-Jing Zhao |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Liaoning Natural Science Foundation Project |
20170541039 |
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| Corresponding Author |
Xue-Mei Wang, MD, Professor, Department of Ultrasound, The First Hospital of China Medical University, No. 155, Nanjing North Street, Shenyang 110001, Liaoning Province, China. wxmlmt@163.com |
| Key Words |
Hepatocellular carcinoma; Methylation; Gene expression; Bioinformatics analysis |
| Core Tip |
We explored methylated-differentially expressed genes in hepatocellular carcinoma (HCC) using a series of bioinformatics databases and tools. In total, we categorized 266 genes as hypermethylated, lowly expressed genes (Hyper-LGs) referring to endogenous and hormone stimulus, as well as 161 hypomethylated, highly expressed genes (Hypo-HGs) referring to DNA replication and metabolic process. Pathway analysis showed Hyper- LGs were mainly enriched in cancer, while Hypo-HGs were essentially related to cell cycle. Finally, we identified hub genes that might be utilized as biomarkers based on aberrant methylation, which might be useful for the accurate diagnosis and treatment of HCC. |
| Publish Date |
2018-06-26 00:26 |
| Citation |
Sang L, Wang XM, Xu DY, Zhao WJ. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma. World J Gastroenterol 2018; 24(24): 2605-2616 |
| URL |
http://www.wjgnet.com/1007-9327/full/v24/i24/2605.htm |
| DOI |
http://dx.doi.org/10.3748/wjg.v24.i24.2605 |
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