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Articles Published Processes
1/20/2026 9:06:32 AM | Browse: 62 | Download: 183
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Received |
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2025-08-20 03:05 |
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Peer-Review Started |
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2025-08-20 03:06 |
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First Decision by Editorial Office Director |
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2025-09-01 08:36 |
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Return for Revision |
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2025-09-01 08:36 |
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Revised |
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2025-09-14 03:47 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-11-24 02:45 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-11-25 03:24 |
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Articles in Press |
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2025-11-25 03:24 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-01-08 00:39 |
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Publish the Manuscript Online |
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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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| 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
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| 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 |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Chongqing Natural Science Foundation |
CSTB2025NSCQ-GPX1031 |
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| 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 |
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