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Publication Name World Journal of Clinical Oncology
Manuscript ID 117705
Country China
Category Oncology
Manuscript Type Review
Article Title Breast cancer and metabolic comorbidities: From epidemiology and molecular mechanisms to precision interventions
Manuscript Source Unsolicited Manuscript
All Author List Shen-Hao Zhang, Yang Yang and Yuan Zhang
Funding Agency and Grant Number
Corresponding Author Yuan Zhang, PhD, Medical College, Yanbian University, No. 977 Gongyuan Road, Yanji 133002, Jilin Province, China. 0000008641@ybu.edu.cn
Key Words Breast cancer; Metabolic comorbidities; Obesity; Type 2 diabetes mellitus; Precision interventions
Core Tip Reframes metabolic comorbidities as active, modifiable drivers of breast cancer. Integrates epidemiology, tumour microenvironment, signalling and gut microbiota. Maps obesity, type 2 diabetes mellitus and metabolic syndrome pathways to pharmacologic and lifestyle interventions. Highlights glucagon-like peptide-1 receptor agonists, sodium-glucose cotransporter 2 inhibitors and bariatric surgery as precision tools. Proposes a metabolic oncology model with artificial intelligence-enabled multimodal risk prediction.
Citation Zhang SH, Yang Y, Zhang Y. Breast cancer and metabolic comorbidities: From epidemiology and molecular mechanisms to precision interventions. World J Clin Oncol 2026; In press
Received
2025-12-15 03:44
Peer-Review Started
2025-12-15 03:44
First Decision by Editorial Office Director
2025-12-25 08:21
Return for Revision
2025-12-25 08:21
Revised
2026-01-05 06:30
Publication Fee Transferred
2026-01-09 10:22
Second Decision by Editor
2026-02-11 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-02-11 07:01
Articles in Press
2026-02-11 07:01
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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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