Publication Name	World Journal of Clinical Oncology
Manuscript ID	115068
Country	India

Category	Computer Science, Artificial Intelligence
Manuscript Type	Letter to the Editor
Article Title	From mutational signatures to practice: Artificial intelligence-guided repurposing for blast crisis chronic myeloid leukemia
Manuscript Source	Invited Manuscript
All Author List	Riya Karmakar, Aditya Kandalkar, Hsiang Chen Wang and Arvind Mukundan
Funding Agency and Grant Number
Corresponding Author	Arvind Mukundan, Assistant Professor, PhD, Postdoctoral Fellow, School of Engineering and Technology, Sanjivani University, Sanjivani Factory, Sahajan Anda Nagar, Kopargaon 423603, Maharastra, India. arvindmukund96@gmail.com
Key Words	Blast crisis chronic myeloid leukemia; Mutational signatures; Artificial intelligence; Machine learning; Whole exome sequencing; Homologous recombination deficiency; Poly(ADP-ribose) polymerase inhibitor
Core Tip	An integrated omics-artificial intelligence pipeline categorizes blast crisis chronic myeloid leukemia into three actionable archetypes on the basis of whole exome data and Catalogue of Somatic Mutations in Cancer mutational signatures: breast cancer gene 2/tumor protein p53 [homologous recombination deficiency to poly(ADP-ribose) polymerase inhibitors], isocitrate dehydrogenases 1/2 or ten eleven translocation 2 (oncometabolism/epigenetics to isocitrate dehydrogenases inhibitors ± hypomethylating agents), and Janus kinase 2/colony stimulating factor 3 receptor (cytokine signaling to Janus kinase inhibitors). This method facilitates rapid, evidence-based repurposing in addition to tyrosine kinase inhibitor-based cytoreduction and use of transplant pathways. The prospective outcome is expected to iteratively enhance the mapping of signatures to drugs.
Citation	Karmakar R, Kandalkar A, Wang HC, Mukundan A. From mutational signatures to practice: Artificial intelligence-guided repurposing for blast crisis chronic myeloid leukemia. World J Clin Oncol 2025; In press

Received	2025-10-09 02:49
Peer-Review Started	2025-10-09 02:49
First Decision by Editorial Office Director	2025-10-17 07:40
Return for Revision	2025-10-17 07:40
Revised	2025-10-17 20:05
Publication Fee Transferred
Second Decision by Editor	2025-12-18 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2025-12-18 08:26
Articles in Press	2025-12-18 08:26
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2218-4333 (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) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
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