Publication Name	World Journal of Hepatology
Manuscript ID	97989
Country	China

Received	2024-06-14 10:55
Peer-Review Started	2024-06-14 10:55
To Make the First Decision
Return for Revision	2024-09-17 09:23
Revised	2024-09-29 10:53
Second Decision	2024-10-18 01:32
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-10-20 09:44
Articles in Press	2024-10-20 09:44
Publication Fee Transferred	2024-10-21 03:19
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-10-28 00:28
Publish the Manuscript Online	2024-11-06 09:51

ISSN	1948-5182 (online)
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Category	Gastroenterology & Hepatology
Manuscript Type	Basic Study
Article Title	Development and validation of biomarkers related to anoikis in liver cirrhosis based on bioinformatics analysis
Manuscript Source	Unsolicited Manuscript
All Author List	Jiang-Yan Luo, Sheng Zheng, Juan Yang, Chi Ma, Xiao-Ying Ma, Xing-Xing Wang, Xin-Nian Fu and Xiao-Zhou Mao
Funding Agency and Grant Number	Funding Agency Grant Number The Basic Research Joint Special General Project of Yunnan Provincial Local Universities (part) 202301BA070001-029 and 202301BA070001-044 Yunnan Province High-Level Scientific and Technological Talents and Innovation Team Selection Special-Young and Middle-aged Academic and Technical Leaders Reserve Talent Project 202405AC350067
Corresponding Author	Sheng Zheng, Associate Professor, Department of Gastroenterology, The Third People's Hospital of Yunnan Province, No. 292 Beijing Road, Guandu District, Kunming 650011, Yunnan Province, China. zheng_sheng523@163.com
Key Words	Anoikis-related genes; Cirrhosis; Machine learning; Biomarker; Therapeutic drugs; Bioinformatics; Immune infiltration
Core Tip	Studies have highlighted the role of anoikis-related genes (ARGs) in cirrhosis. In this study, machine learning algorithms were used to identify differentially expressed ARGs (DEARGs) based on RNA-sequencing data. Three DEARGs were identified as biomarkers for cirrhosis (ACTG1, STAT1, and CCR7). The proportions of M1 and M2 macrophages, CD4 T cells, and mast cells were different between cirrhotic and normal tissues and were correlated with the expression of the three biomarkers. An mRNA–miRNA–TF network was constructed based on the three biomarkers. miRNAs and transcription factor regulating the biomarkers were identified. The findings of this study may facilitate the development of novel diagnostic and therapeutic strategies for cirrhosis.
Publish Date	2024-11-06 09:51
Citation	<p>Luo JY, Zheng S, Yang J, Ma C, Ma XY, Wang XX, Fu XN, Mao XZ. Development and validation of biomarkers related to anoikis in liver cirrhosis based on bioinformatics analysis. <i>World J Hepatol</i> 2024; 16(11): 1306-1320</p>
URL	https://www.wjgnet.com/1948-5182/full/v16/i11/1306.htm
DOI	https://dx.doi.org/10.4254/wjh.v16.i11.1306

Full Article (PDF)	WJH-16-1306-with-cover.pdf
Manuscript File	97989_Auto_Edited_010101.docx
Answering Reviewers	97989-answering-reviewers.pdf
Audio Core Tip	97989-audio.mp3
Biostatistics Review Certificate	97989-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	97989-conflict-of-interest-statement.pdf
Copyright License Agreement	97989-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	97989-foundation-statement.pdf
Institutional Review Board Approval Form or Document	97989-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	97989-non-native-speakers.pdf
Peer-review Report	97989-peer-reviews.pdf
Scientific Misconduct Check	97989-scientific-misconduct-check.png
Scientific Editor Work List	97989-scientific-editor-work-list.pdf
CrossCheck Report	97989-crosscheck-report.pdf