Publication Name	World Journal of Clinical Cases
Manuscript ID	98550
Country	Taiwan

Received	2024-06-28 23:35
Peer-Review Started	2024-06-28 23:35
To Make the First Decision
Return for Revision	2024-10-11 09:41
Revised	2024-10-21 23:54
Second Decision	2024-10-29 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-10-29 10:22
Articles in Press	2024-10-29 10:22
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-11-11 08:48
Publish the Manuscript Online	2024-11-15 02:23

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	Imaging Science & Photographic Technology
Manuscript Type	Letter to the Editor
Article Title	Radiomics and molecular analysis: Bridging the gap for predicting hepatocellular carcinoma prognosis
Manuscript Source	Invited Manuscript
All Author List	Chun-Han Cheng, Wen-Rui Hao and Tzu-Hurng Cheng
ORCID	Author(s) ORCID Number Tzu-Hurng Cheng http://orcid.org/0000-0002-9155-4169
Funding Agency and Grant Number
Corresponding Author	Tzu-Hurng Cheng, PhD, Professor, Department of Biochemistry, School of Medicine, College of Medicine, China Medical University, No. 91 Xueshi Road, North District, Taichung 404333, Taiwan. thcheng@mail.cmu.edu.tw
Key Words	Hepatocellular carcinoma; Computed tomography; Radiomics; Enhancer of zeste homologue 2 expression; Non-invasive imaging
Core Tip	This editorial discusses a study that combined radiomics based on computed tomography (CT) with molecular analysis for predicting the expression of the gene enhancer of zeste homolog 2 (EZH2) in patients with hepatocellular carcinoma (HCC). The radiomics model revealed a strong correlation with both EZH2 expression and patient survival, providing a noninvasive approach for obtaining key molecular insights. This innovative approach may enhance the prediction of HCC prognosis and may guide the implementation of personalized treatment, marking a major advancement in cancer diagnostics and precision medicine.
Publish Date	2024-11-15 02:23
Citation	<p>Cheng CH, Hao WR, Cheng TH. Radiomics and molecular analysis: Bridging the gap for predicting hepatocellular carcinoma prognosis. <i>World J Clin Cases</i> 2025; 13(4): 98550</p>
URL	https://www.wjgnet.com/2307-8960/full/v13/i4/98550.htm
DOI	https://dx.doi.org/10.12998/wjcc.v13.i4.98550

Full Article (PDF)	WJCC-13-98550-with-cover.pdf
Manuscript File	98550_Auto_Edited_015833.docx
Answering Reviewers	98550-answering-reviewers.pdf
Audio Core Tip	98550-audio.mp3
Conflict-of-Interest Disclosure Form	98550-conflict-of-interest-statement.pdf
Copyright License Agreement	98550-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	98550-non-native-speakers.pdf
Peer-review Report	98550-peer-reviews.pdf
Scientific Editor Work List	98550-scientific-editor-work-list.pdf
CrossCheck Report	98550-crosscheck-report.pdf