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1/17/2022 5:24:11 AM | Browse: 74 | Download: 213
Publication Name World Journal of Clinical Cases
Manuscript ID 70649
Country/Territory China
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
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
Funding Agency and Grant Number
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.
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
Received
2021-08-10 15:32
Peer-Review Started
2021-08-10 15:36
To Make the First Decision
Return for Revision
2021-10-20 21:43
Revised
2021-10-29 15:41
Second Decision
2022-01-15 02:42
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-01-17 05:24
Articles in Press
2022-01-17 05:24
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-01-14 02:22
Typeset the Manuscript
2022-03-31 04:18
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/
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