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9/2/2022 6:17:49 AM | Browse: 153 | Download: 341
Publication Name World Journal of Clinical Cases
Manuscript ID 76820
Country China
Received
2022-04-02 15:46
Peer-Review Started
2022-04-02 15:48
To Make the First Decision
Return for Revision
2022-06-16 00:59
Revised
2022-06-30 05:41
Second Decision
2022-07-18 03:01
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-07-22 02:01
Articles in Press
2022-07-22 02:01
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-08-24 06:08
Publish the Manuscript Online
2022-09-02 06:17
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: http://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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Respiratory System
Manuscript Type Retrospective Study
Article Title Development and validation of an epithelial–mesenchymal transition-related gene signature for predicting prognosis
Manuscript Source Unsolicited Manuscript
All Author List De-Hua Zhou, Qian-Cheng Du, Zheng Fu, Xin-Yu Wang, Ling Zhou, Jian Wang, Cheng-Kai Hu, Shun Liu, Jun-Min Li, Meng-Li Ma and Hua Yu
ORCID
Author(s) ORCID Number
De-Hua Zhou http://orcid.org/0000-0003-2877-7746
Qian-Cheng Du http://orcid.org/0000-0002-0154-2210
Zheng Fu http://orcid.org/0000-0002-6373-4998
Xin-Yu Wang http://orcid.org/0000-0001-8488-7910
Ling Zhou http://orcid.org/0000-0003-2290-3756
Jian Wang http://orcid.org/0000-0002-7244-4976
Cheng-Kai Hu http://orcid.org/0000-0002-7670-5707
Shun Liu http://orcid.org/0000-0001-7607-1567
Jun-Min Li http://orcid.org/0000-0002-8369-7821
Meng-Li Ma http://orcid.org/0000-0001-7120-8165
Hua Yu http://orcid.org/0000-0002-1599-6192
Funding Agency and Grant Number
Corresponding Author Hua Yu, MM, Associate Chief Physician, Department of General Surgery, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, No. 1279 Sanmen Road, Shanghai 200434, China. luckyyuhua@163.com
Key Words Lung adenocarcinoma; Epithelial–mesenchymal transition; Gene signature; Overall survival
Core Tip Lung cancer is one of the major causes of death associated with malignancy, and lung cancer is associated with approximately 2 million new cases and 1.76 million deaths every year. Although some reports have shown that suppression or knockdown of some genes in lung adenocarcinoma (LUAD) could reverse the epithelial–mesenchymal transition (EMT) process that inhibits tumor occurrence and metastasis, the correlations of these genes with overall survival in patients with LUAD remain largely unclear. A cohort of 884 LUAD patients was used to construct and validate a novel predictive model comprising a 7-EMT-related gene signature, which can be used to predict the prognosis of LUAD.
Publish Date 2022-09-02 06:17
Citation Zhou DH, Du QC, Fu Z, Wang XY, Zhou L, Wang J, Hu CK, Liu S, Li JM, Ma ML, Yu H. Development and validation of an epithelial–mesenchymal transition-related gene signature for predicting prognosis. World J Clin Cases 2022; 10(26): 9285-9302
URL https://www.wjgnet.com/2307-8960/full/v10/i26/9285.htm
DOI https://dx.doi.org/10.12998/wjcc.v10.i26.9285
Full Article (PDF) WJCC-10-9285.pdf
Full Article (Word) WJCC-10-9285.docx
Manuscript File 76820_Auto_Edited-LS.docx
Answering Reviewers 76820-Answering reviewers.pdf
Audio Core Tip 76820-Audio core tip.m4a
Biostatistics Review Certificate 76820-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 76820-Conflict-of-interest statement.pdf
Copyright License Agreement 76820-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s) 76820-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 76820-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 76820-Language certificate.pdf
Peer-review Report 76820-Peer-review(s).pdf
Scientific Editor Work List 76820-Scientific editor work list.pdf