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Articles Published Processes
7/27/2018 6:43:44 AM | Browse: 973 | Download: 1234
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Received |
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2018-03-22 00:16 |
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Peer-Review Started |
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2018-03-22 03:59 |
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To Make the First Decision |
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2018-04-19 00:42 |
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Return for Revision |
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2018-04-24 08:05 |
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Revised |
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2018-06-13 13:03 |
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Second Decision |
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2018-06-25 09:44 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2018-06-25 19:25 |
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Articles in Press |
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2018-06-25 19:25 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2018-07-02 00:47 |
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Typeset the Manuscript |
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2018-07-25 03:15 |
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Publish the Manuscript Online |
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2018-07-27 06:43 |
| 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Basic Study |
| Article Title |
Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yanzhou Song, Xu Li, Wei Li, Zhong Wang, Kai Li, Fangliang Xie and Feng Zhang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Feng Zhang, MD, Professor, Department of Liver Surgery/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Rd, Nanjing 210029, Jiangsu Province, China. doctorzhangfeng@njmu.edu.cn |
| Key Words |
Liver cancer; Prognosis; Molecular marker; Evaluation; C-index |
| Core Tip |
The Cancer Genome Atlas (TCGA) is funded by the National Institute of Health to describe the genomic alterations across cancer types. Several months after the publication of liver cancer TCGA, we systemically evaluated the prognostic power of different omics data of liver cancer. We found that in all kinds of omics data in liver cancer, the mRNA data might be the most informative prognostic variable. The combination of clinical data with molecular data might be the future direction for cancer prognosis and prediction. |
| Publish Date |
2018-07-27 06:43 |
| Citation |
Song YZ, Li X, Li W, Wang Z, Li K, Xie FL, Zhang F. Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas. World J Gastroenterol 2018; 24(28): 3145-3154 |
| URL |
http://www.wjgnet.com/1007-9327/full/v24/i28/3145.htm |
| DOI |
http://dx.doi.org/10.3748/wjg.v24.i28.3145 |
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