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8/16/2023 6:59:21 AM | Browse: 116 | Download: 351
Publication Name World Journal of Clinical Cases
Manuscript ID 85877
Country China
Received
2023-05-19 07:53
Peer-Review Started
2023-05-19 07:54
To Make the First Decision
Return for Revision
2023-06-21 09:40
Revised
2023-06-29 02:49
Second Decision
2023-07-25 02:57
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2023-07-25 07:25
Articles in Press
2023-07-25 07:25
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2023-08-03 05:38
Publish the Manuscript Online
2023-08-16 06:59
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) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
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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 Mathematical & Computational Biology
Manuscript Type Meta-Analysis
Article Title Identification of key genes and biological pathways in lung adenocarcinoma by integrated bioinformatics analysis
Manuscript Source Unsolicited Manuscript
All Author List Lin Zhang, Yuan Liu, Jian-Guo Zhuang, Jie Guo, Yan-Tao Li, Yan Dong and Gang Song
ORCID
Author(s) ORCID Number
Lin Zhang http://orcid.org/0009-0002-9419-9665
Yuan Liu http://orcid.org/0009-0000-0238-5838
Jian-Guo Zhuang http://orcid.org/0009-0003-2347-0582
Jie Guo http://orcid.org/0009-0003-2643-4835
Yan-Tao Li http://orcid.org/0009-0009-0768-9369
Yan Dong http://orcid.org/0009-0009-2054-9440
Gang Song http://orcid.org/0009-0005-0919-0220
Funding Agency and Grant Number
Corresponding Author Gang Song, MD, PhD, Chief Physician, Second Department of Respiratory Medicine, Hebei Provincial Hospital of Traditional Chinese Medicine, No. 389 Zhongshan East Road, Shijiazhuang 050000, Hebei Province, China. songgang202302@163.com
Key Words Cellular retinoic acid binding protein 2; Expression profiling data; Hub genes; Lung adenocarcinoma; Matrix metallopeptidase 12; Topoisomerase II alpha
Core Tip Lung cancer is an important cause of cancer-related death worldwide. This study conducted multiple bioinformatics analysis methods to explore potential therapeutic targets for lung adenocarcinoma (LUAD). Finally, three hub genes with high connectivity were identified, namely cellular retinoic acid binding protein 2, matrix metallopeptidase 12, and DNA topoisomerase II alpha. High expression of these genes was associated with a poor LUAD prognosis, and the genes exhibited high diagnostic value. Therefore, these genes may be biomarkers and therapeutic targets for LUAD.
Publish Date 2023-08-16 06:59
Citation Zhang L, Liu Y, Zhuang JG, Guo J, Li YT, Dong Y, Song G. Identification of key genes and biological pathways in lung adenocarcinoma by integrated bioinformatics analysis. World J Clin Cases 2023; 11(23): 5504-5518
URL https://www.wjgnet.com/2307-8960/full/v11/i23/5504.htm
DOI https://dx.doi.org/10.12998/wjcc.v11.i23.5504
Full Article (PDF) WJCC-11-5504-with-cover.pdf
Full Article (Word) WJCC-11-5504.docx
Manuscript File 85877_Auto_Edited-JLW.docx
Answering Reviewers 85877-Answering reviewers.pdf
Audio Core Tip 85877-Audio core tip.m4a
Biostatistics Review Certificate 85877-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 85877-Conflict-of-interest statement.pdf
Copyright License Agreement 85877-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 85877-Language certificate.pdf
Peer-review Report 85877-Peer-review(s).pdf
Scientific Misconduct Check 85877-Bing-Chen YL-2.png
Scientific Editor Work List 85877-Scientific editor work list.pdf
CrossCheck Report 85877-CrossCheck report.pdf