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Articles Published Processes
4/8/2022 12:06:55 PM | Browse: 458 | Download: 981
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Received |
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2021-08-10 15:32 |
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Peer-Review Started |
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2021-08-10 15:36 |
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To Make the First Decision |
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Return for Revision |
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2021-10-20 21:43 |
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Revised |
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2021-10-29 15:41 |
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Second Decision |
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2022-01-15 02:42 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-01-17 05:24 |
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Articles in Press |
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2022-01-17 05:24 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-01-14 02:22 |
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Typeset the Manuscript |
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2022-03-31 04:18 |
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Publish the Manuscript Online |
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2022-04-08 12:06 |
ISSN |
2307-8960 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2022. 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 |
Clinical and Translational Research |
Article Title |
Autophagy long non-coding ribonucleic acids prognostic model predicts prognosis and survival of melanoma patients
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Yue Qiu, Hong-Tao Wang, Xi-Fan Zheng, Xing Huang, Jin-Zhi Meng, Jun-Pu Huang, Zhen-Pei Wen and Jun Yao |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Jun Yao, MD, Chief Doctor, Surgeon, Departments of Orthopedics, The First Affliated Hospital of Guangxi Medical University, Guangxi Medical University, No. 6 Shuangyong Road, Nanning 530000, Guangxi Zhuang Autonomous Region, China. yaojun800524@126.com |
Key Words |
Melanoma; Long non-coding ribonucleic acids; Autophagy; Prognosis; The Cancer Genome Atlas; Bioinformatics |
Core Tip |
Long non-coding ribonucleic acids (lncRNAs) is becoming a key factor in the development of many malignant tumors and is involved in the prognosis of some patients. The expression of autophagy associated lncRNAs was associated with survival in melanoma patients. We obtained 15 autophagy-related lncRNAs and established a melanoma prognosis model, which can predict the prognosis of melanoma patients and is more accurate than TNM stage, age, gender and other clinical indicators, and may provide autophagy-related clinical targets for the treatment of melanoma. |
Publish Date |
2022-04-08 12:06 |
Citation |
Qiu Y, Wang HT, Zheng XF, Huang X, Meng JZ, Huang JP, Wen ZP, Yao J. Autophagy Long non-coding ribonucleic acids prognostic model predicts prognosis and survival of melanoma patients. World J Clin Cases 2022; 10(11): 3334-3351 |
URL |
https://www.wjgnet.com/2307-8960/full/v10/i11/3334.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v10.i11.3334 |
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