Publication Name	World Journal of Clinical Cases
Manuscript ID	80466
Country	China

Received	2022-09-28 12:41
Peer-Review Started	2022-09-28 12:42
To Make the First Decision
Return for Revision	2022-11-04 08:17
Revised	2022-11-10 10:45
Second Decision	2022-12-21 03:33
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2022-12-21 08:31
Articles in Press	2022-12-21 08:31
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2022-12-27 02:09
Publish the Manuscript Online	2023-01-05 03:12

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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Category	Oncology
Manuscript Type	Clinical and Translational Research
Article Title	Identification of a four-miRNA signature predicts the prognosis of papillary thyroid cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Fan Yang and Yi-Li Zhou
ORCID	Author(s) ORCID Number Fan Yang http://orcid.org/0000-0002-0184-5828 Yi-Li Zhou http://orcid.org/0000-0002-0097-4310
Funding Agency and Grant Number	Funding Agency Grant Number Foundation of Wenzhou Municipal Science and Technology Bureau No. Y20190209 and No. Y2020739 Hospital Research Incubation Program No. FHY2019075
Corresponding Author	Yi-Li Zhou, MD, PhD, Doctor, Department of Thyroid Surgery, The First Affiliated Hospital of Wenzhou Medical University, South of Bai-Xiang Street, Ou-Hai District, Wenzhou 325000, Zhejiang Province, China. yilistar@163.com
Key Words	Papillary thyroid cancer; microRNA; Prognosis; Signature
Core Tip	Thyroid cancer is the most prevalent endocrine malignancy in the world, and its incidence is rapidly rising. In this paper, an efficient and accurate prognostic prediction model for thyroid cancer was constructed, which is valuable for future clinical studies.
Publish Date	2023-01-05 03:12
Citation	Yang F, Zhou YL. Identification of a four-miRNA signature predicts the prognosis of papillary thyroid cancer. World J Clin Cases 2023; 11(1): 92-103
URL	https://www.wjgnet.com/2307-8960/full/v11/i1/92.htm
DOI	https://dx.doi.org/10.12998/wjcc.v11.i1.92

Full Article (PDF)	WJCC-11-92.pdf
Full Article (Word)	WJCC-11-92.docx
Manuscript File	80466_Auto_Edited-JLW.docx
Answering Reviewers	80466-Answering reviewers.pdf
Audio Core Tip	80466-Audio core tip.aac
Biostatistics Review Certificate	80466-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	80466-Conflict-of-interest statement.pdf
Copyright License Agreement	80466-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	80466-Grant application form(s).pdf
Institutional Review Board Approval Form or Document	80466-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	80466-Language certificate.pdf
Video	80466-Informed consent statement.pdf
Supplementary Material	80466-Supplementary material.pdf
Peer-review Report	80466-Peer-review(s).pdf
Scientific Misconduct Check	80466-Bing-Chen YL-2.png
Scientific Editor Work List	80466-Scientific editor work list.pdf