Chromoanagenesis in Osteosarcoma
Chromoanagenesis is a catastrophic genomic phenomenon involving sudden, extensive rearrangements within one or a few cell cycles. In osteosarcoma, the most prevalent malignant bone tumor in children and adolescents, these events dramatically alter the genomic landscape, frequently disrupting key tum...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Biomolecules |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2218-273X/15/6/833 |
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| Summary: | Chromoanagenesis is a catastrophic genomic phenomenon involving sudden, extensive rearrangements within one or a few cell cycles. In osteosarcoma, the most prevalent malignant bone tumor in children and adolescents, these events dramatically alter the genomic landscape, frequently disrupting key tumor suppressor genes like <i>TP53</i> and <i>RB1</i>, amplifying oncogene expression, and propelling tumor progression and evolution. This review elucidates how key chromoanagenic mechanisms, such as chromothripsis and chromoanasynthesis, arise from replication stress and impaired DNA repair pathways, ultimately contributing to genomic instability in osteosarcoma. Chromothripsis features prominently in osteosarcoma, occurring in up to 62% of tumor regions and driving intratumoral heterogeneity through persistent genomic crises. Next-generation sequencing, optical genome mapping, and emerging technologies like single-cell sequencing empower researchers to detect and characterize these complex structural variants, demonstrating how a single catastrophic event can profoundly influence osteosarcoma progression over time. While targeted therapies for osteosarcoma have proven elusive, innovative strategies harnessing comprehensive genomic profiling and patient-derived preclinical models hold promise for uncovering tumor-specific vulnerabilities tied to chromoanagenesis. Ultimately, unraveling how these rapid, large-scale rearrangements fuel osteosarcoma’s aggressive nature will not only refine disease classification and prognosis but also pave the way for novel therapeutic approaches to enhance patient outcomes. |
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| ISSN: | 2218-273X |