Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	65626
Country	China

Received	2021-04-08 08:38
Peer-Review Started	2021-04-08 08:38
To Make the First Decision
Return for Revision	2021-05-24 06:31
Revised	2021-05-27 14:00
Second Decision	2021-07-08 00:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2021-07-09 12:15
Articles in Press	2021-07-09 12:15
Publication Fee Transferred
Edit the Manuscript by Language Editor	2021-07-17 18:23
Typeset the Manuscript	2021-08-11 14:33
Publish the Manuscript Online	2021-08-14 11:08

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/
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Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Development of a prognostic prediction model based on microRNA-1269a in esophageal cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Yong Yu and Kai-Ming Ren
ORCID	Author(s) ORCID Number Yong Yu http://orcid.org/0000-0002-7338-6907 Kai-Ming Ren http://orcid.org/0000-0003-2145-678X
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 81570866 Outstanding Doctor Foundation of China Medical University M0554
Corresponding Author	Kai-Ming Ren, MD, PhD, Professor, Department of Thoracic Surgery, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang 110004, Liaoning Province, China. renkmcmu@163.com
Key Words	MicroRNA-1269a; Esophageal cancer; Prognosis; Overall survival; Cancer-specific survival
Core Tip	MicroRNA-1269a expression levels, along with cancer stage and age, were shown to have significant predictive capacity for overall survival and cancer-specific survival in esophageal cancer. Using these results, we developed an easy-to-use nomogram for clinical use.
Publish Date	2021-08-14 11:08
Citation	Yu Y, Ren KM. Development of a prognostic prediction model based on microRNA-1269a in esophageal cancer. World J Gastrointest Oncol 2021; 13(8): 943-958
URL	https://www.wjgnet.com/1948-5204/full/v13/i8/943.htm
DOI	https://dx.doi.org/10.4251/wjgo.v13.i8.943

Full Article (PDF)	WJGO-13-943.pdf
Full Article (Word)	WJGO-13-943.docx
Manuscript File	65626_Review-FilipodiaCL.docx
Answering Reviewers	65626-Answering reviewers.pdf
Audio Core Tip	65626-Audio core tip.m4a
Biostatistics Review Certificate	65626-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	65626-Conflict-of-interest statement.pdf
Copyright License Agreement	65626-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	65626-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s)	65626-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	65626-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	65626-Language certificate.pdf
Peer-review Report	65626-Peer-review(s).pdf
Scientific Misconduct Check	65626-Scientific misconduct check.pdf
Scientific Editor Work List	65626-Scientific editor work list.pdf