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The Variable Genomic Landscape During Osteosarcoma Progression: Insights From a Longitudinal WGS Analysis
Debora M Meijer1,2, Dina Ruano1, Inge H Briaire-de Bruijn1
1Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Genes, Chromosomes & Cancer
|July 18, 2024
Summary
Osteosarcoma genomes are highly dynamic, showing accumulating genetic changes like single-nucleotide variants and structural variants over time. This genomic evolution, including copy number alterations and chromothripsis, contributes to disease progression and heterogeneity in osteosarcoma patients.
Area of Science:
- Oncology
- Genomics
- Cancer Biology
Background:
- Osteosarcoma is a primary bone cancer with complex genomic alterations and frequent metastasis.
- Limited therapeutic options and poor survival rates highlight the need to understand osteosarcoma progression.
- Genomic heterogeneity is a key factor in osteosarcoma's metastatic potential and treatment resistance.
Purpose of the Study:
- To comprehensively profile genomic alterations during osteosarcoma progression.
- To investigate the mechanisms driving osteosarcoma heterogeneity and metastasis.
- To understand the evolutionary patterns of osteosarcoma genomes from primary tumor to metastatic sites.
Main Methods:
- Whole-genome sequencing (WGS) was performed on multiple tissue samples from six osteosarcoma patients.
- Analysis included single-nucleotide variants (SNVs), structural variants (SVs), copy number alterations (CNAs), and chromothripsis.
- Phylogenetic analysis was used to reconstruct tumor evolutionary trajectories.
Main Results:
- Genomic complexity increases during osteosarcoma progression, with accumulating SNVs and SVs.
- Distinct evolutionary patterns (linear, neutral, branched) were observed between patients.
- Variable copy number profiles, whole-genome doubling, loss of heterozygosity (LOH), and multiple chromothripsis events were common.
- Five out of six osteosarcoma genomes demonstrated significant dynamism and variability during progression.
Conclusions:
- Osteosarcoma genomes are highly dynamic and undergo significant evolution during disease progression.
- Genomic heterogeneity and accumulating alterations contribute to osteosarcoma's metastatic capability.
- Detailed genomic profiling provides insights into osteosarcoma evolution and potential therapeutic targets.
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