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Articles Published Processes
9/10/2020 5:57:28 AM | Browse: 707 | Download: 1979
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Received |
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2020-04-08 04:23 |
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Peer-Review Started |
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2020-04-05 15:06 |
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To Make the First Decision |
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Return for Revision |
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2020-05-16 00:06 |
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Revised |
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2020-05-21 12:58 |
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Second Decision |
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2020-07-29 10:58 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-08-01 21:47 |
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Articles in Press |
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2020-08-01 21:47 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2020-08-07 02:01 |
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Typeset the Manuscript |
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2020-09-07 02:02 |
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Publish the Manuscript Online |
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2020-09-10 05:57 |
| ISSN |
1948-5204 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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) 2020. 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 |
Oncology |
| Manuscript Type |
Basic Study |
| Article Title |
Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Kun-Zhe Wu, Xiao-Hua Xu, Cui-Ping Zhan, Jing Li and Jin-Lan Jiang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Jin-Lan Jiang, PhD, Professor, Research Scientist, Scientific Research Center, China-Japan Union Hospital of Jilin University, No.126 Xiantai Street, Changchun 130000, Jilin Province, China. xu_xh@jlu.edu.cn |
| Key Words |
Gastric carcinoma; Bioinformatic analysis; Prognosis; Overall survival; Differentially expressed genes; |
| Core Tip |
A total of 95 differentially expressed genes were found by mining the datasets of Gene Expression Omnibus and the Cancer Genome Atlas databases. Overlapping Differential expression genes were analyzed using univariate and multivariate Cox regression analysis. Receiver operating characteristic curve performance in the training and validation datasets demonstrated a robust prognostic value of the risk score model. Multiple database analyses for each gene provided evidence to further understand the nine-gene signature. Gene set enrichment analysis showed that the high-risk group was enriched in multiple cancer-related pathways. Moreover, several new small molecule drugs for potential treatment of gastric carcinoma (GC) were identified. A nine-gene signature was identified to predict GC prognosis and prove potentially useful for guiding therapeutic strategies for GC patients. |
| Publish Date |
2020-09-10 05:57 |
| Citation |
Wu KZ, Xu XH, Zhan CP, Li J, Jiang JL. Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses. World J Gastrointest Oncol 2020; 12(9): 975-991 |
| URL |
https://www.wjgnet.com/1948-5204/full/v12/i9/975.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v12.i9.975 |
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