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1/20/2026 9:06:32 AM | Browse: 3 | Download: 1
Publication Name World Journal of Clinical Oncology
Manuscript ID 113244
Country China
Received
2025-08-20 03:05
Peer-Review Started
2025-08-20 03:06
First Decision by Editorial Office Director
2025-09-01 08:36
Return for Revision
2025-09-01 08:36
Revised
2025-09-14 03:47
Publication Fee Transferred
Second Decision by Editor
2025-11-24 02:45
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-11-25 03:24
Articles in Press
2025-11-25 03:24
Edit the Manuscript by Language Editor
Typeset the Manuscript
2026-01-08 00:39
Publish the Manuscript Online
2026-01-20 09:06
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.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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
Category Medical Informatics
Manuscript Type Minireviews
Article Title Single-cell differential abundance detection: A new angle on dissecting tumor heterogeneity
Manuscript Source Invited Manuscript
All Author List Ying-Xue Xiao, Jing Sun, Ling-Ling Xie, Yue Zou, Tong Li, You-Jin Hao and Bo Li
ORCID
Author(s) ORCID Number
Bo Li http://orcid.org/0000-0001-9944-0003
Funding Agency and Grant Number
Funding Agency Grant Number
Chongqing Natural Science Foundation CSTB2025NSCQ-GPX1031
Corresponding Author Bo Li, Associate Professor, PhD, College of Life Sciences, Chongqing Normal University, No. 37 University City Middle Road, Shapingba District, Chongqing 401331, China. libcell@cqnu.edu.cn
Key Words Single-cell RNA sequencing; Tumor heterogeneity; Differential abundance detection; Tumor microenvironment; Precision oncology; Immune remodeling; Cellular composition
Core Tip This review highlights differential abundance (DA) detection as a transformative framework in single-cell oncology, enabling high-resolution deconstruction of tumor heterogeneity. It surveys widely adopted DA methods and demonstrates how capturing dynamic shifts in cellular ecosystems yields critical mechanistic insights, supports clinical decision-making, and informs precision therapeutic strategies. The ongoing methodological refinements and multi-omics convergence will further elevate DA detection to a cornerstone technology in precision oncology.
Publish Date 2026-01-20 09:06
Citation

Xiao YX, Sun J, Xie LL, Zou Y, Li T, Hao YJ, Li B. Single-cell differential abundance detection: A new angle on dissecting tumor heterogeneity. World J Clin Oncol 2026; 17(1): 113244

URL https://www.wjgnet.com/2218-4333/full/v17/i1/113244.htm
DOI https://dx.doi.org/10.5306/wjco.v17.i1.113244
Full Article (PDF) WJCO-17-113244-with-cover.pdf
Manuscript File 113244_Auto_Edited_082636.docx
Answering Reviewers 113244-answering-reviewers.pdf
Audio Core Tip 113244-audio.mp3
Conflict-of-Interest Disclosure Form 113244-conflict-of-interest-statement.pdf
Copyright License Agreement 113244-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 113244-non-native-speakers.pdf
Peer-review Report 113244-peer-reviews.pdf
Scientific Misconduct Check 113244-scientific-misconduct-check.png
Scientific Editor Work List 113244-scientific-editor-work-list.pdf
CrossCheck Report 113244-crosscheck-report.pdf