Academic Journal
Understanding tumor heterogeneity: Implications for precision oncology and therapeutic strategies.
| Τίτλος: | Understanding tumor heterogeneity: Implications for precision oncology and therapeutic strategies. |
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| Συγγραφείς: | Lv Y; Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China., He C; Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China., Xie Q; Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China., Long F; Division of Gastrointestinal, Bariatric and Metabolic Surgery, Department of General Surgery, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China. Electronic address: longfw1978@sina.com., Fan C; Division of Gastrointestinal, Bariatric and Metabolic Surgery, Department of General Surgery, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden. Electronic address: chuanwen.fan@liu.se. |
| Πηγή: | Biochimica et biophysica acta. Reviews on cancer [Biochim Biophys Acta Rev Cancer] 2026 Sep; Vol. 1881 (4), pp. 189617. Date of Electronic Publication: 2026 May 27. |
| Τύπος έκδοσης: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9806362 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2561 (Electronic) Linking ISSN: 0304419X NLM ISO Abbreviation: Biochim Biophys Acta Rev Cancer Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Amsterdam : Elsevier |
| Ιατρικοί όροι (MeSH): | Precision Medicine*/methods , Neoplasms*/genetics , Neoplasms*/pathology , Neoplasms*/therapy , Neoplasms*/drug therapy , Genetic Heterogeneity*, Tumor Microenvironment/genetics ; Drug Resistance, Neoplasm/genetics ; Biomarkers, Tumor/genetics ; Medical Oncology/methods ; Humans ; Multiomics |
| Περίληψη: | Tumor heterogeneity is a fundamental feature of malignant tumors and a major driver of treatment resistance, ultimately contributing to treatment resistance, therapeutic failure, disease recurrence, and poor outcome. Rather than being static, heterogeneity arises early during tumorigenesis and continues to evolve during progression, metastasis, and therapeutic selection. Advances in single-cell and spatial omics, integrative multi-omics profiling, liquid biopsy, and computational modeling have markedly improved the characterization of heterogeneity across genetic, epigenetic, transcriptomic, phenotypic, and microenvironmental dimensions. However, translating heterogeneity profiling into routine clinical decision-making remains challenging due to sampling bias, technical variability, data-integration complexity, and the need for prospectively validated, actionable metrics. In this review, we summarize the biological origins and major classifications of tumor heterogeneity, discuss current approaches for its detection and longitudinal monitoring, examine its implications for established and emerging therapies, and highlight precision-oncology strategies aimed at anticipating, tracking, and ultimately exploiting heterogeneity to achieve durable cancer control. (Copyright © 2026 The Authors. Published by Elsevier B.V. All rights reserved.) |
| Competing Interests: | Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: Precision medicine; Treatment resistance; Tumor heterogeneity |
| Substance Nomenclature: | 0 (Biomarkers, Tumor) |
| Entry Date(s): | Date Created: 20260528 Date Completed: 20260725 Latest Revision: 20260820 |
| Update Code: | 20260821 |
| DOI: | 10.1016/j.bbcan.2026.189617 |
| PMID: | 42208919 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1879-2561 |
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| DOI: | 10.1016/j.bbcan.2026.189617 |