©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jul 28, 2018; 24(28): 3145-3154
Published online Jul 28, 2018. doi: 10.3748/wjg.v24.i28.3145
Published online Jul 28, 2018. doi: 10.3748/wjg.v24.i28.3145
Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas
Yan-Zhou Song, Department of General Surgery, Lianyungang Clinical Medical College of Nanjing Medical University/The First People’s Hospital of Lianyungang, Lianyungang 222002, Jiangsu Province, China
Xu Li, Feng Zhang, Department of Liver Surgery/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
Wei Li, Zhong Wang, Kai Li, Fang-Liang Xie, Department of General Surgery, The First People’s Hospital of Lianyungang, Lianyungang 222002, Jiangsu Province, China
Author contributions: Song YZ and Li X contributed equally to this work; Song YZ wrote the paper and performed the bioinformatic analysis; Li X performed the bioinformatic analysis and summarized the results; Li W, Wang Z, Li K collected and formatted genomic data; Xie FL revised the paper; Zhang F designed the research.
Institutional review board statement: The study was reviewed and approved by the Institutional Review Board of Nanjing Medical University.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: The data in this manuscript was accessible through https://portal.gdc.cancer.gov/ or http://gdac.broadinstitute.org/
Correspondence to: 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
Telephone: +86-13505145722 Fax: +86-25-83672106
Received: March 21, 2018
Peer-review started: March 22, 2018
First decision: April 24, 2018
Revised: June 13, 2018
Accepted: June 25, 2018
Article in press: June 25, 2018
Published online: July 28, 2018
Processing time: 127 Days and 17.9 Hours
Peer-review started: March 22, 2018
First decision: April 24, 2018
Revised: June 13, 2018
Accepted: June 25, 2018
Article in press: June 25, 2018
Published online: July 28, 2018
Processing time: 127 Days and 17.9 Hours
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© The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved.