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Chromosome Preparation From Cultured Cells
Published on: January 28, 2014
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Pervasive chromosomal instability and karyotype order in tumour evolution
Thomas B K Watkins1, Emilia L Lim1,2, Marina Petkovic3
1Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
Nature
|September 4, 2020
Summary
Chromosomal instability fuels cancer evolution by creating diverse genetic changes. This study reveals these changes, somatic copy number alterations, often occur in parallel and are enriched in metastatic tumors.
Area of Science:
- Genomics
- Cancer Biology
- Evolutionary Biology
Background:
- Chromosomal instability (CIN) drives cancer evolution through dynamic changes in chromosome number and structure.
- Somatic copy number alterations (SCNAs) generated by CIN provide the genetic diversity for tumor adaptation and progression.
Purpose of the Study:
- To investigate the patterns and consequences of CIN-driven SCNA heterogeneity across diverse cancer types.
- To identify recurrent SCNA events and their timing relative to key genomic events like whole-genome doubling.
- To assess the enrichment of specific SCNAs in metastatic tumors.
Main Methods:
- Multi-sample phasing and SCNA analysis of 1,421 samples from 394 tumors across 22 types.
- Analysis of an independent cohort of 1,024 metastatic samples.
- Comparative analysis of SCNA patterns in primary versus metastatic settings.
Main Results:
- Continuous CIN leads to pervasive SCNA heterogeneity, with parallel evolutionary events affecting key genes in 37% of tumors.
- Most SCNA losses preceded whole-genome doubling (clonal in 49% of tumors), but HLA and 8p losses occurred sub-clonally even post-doubling.
- Thirteen focal SCNAs, including MYC and CCND1 amplifications, were enriched in metastatic samples, indicating their role in metastasis.
Conclusions:
- CIN drives ordered, parallel SCNA events throughout tumor evolution, contributing to heterogeneity.
- Specific SCNAs are selected for during tumor progression and metastasis, highlighting their functional importance.
- Understanding SCNA patterns can inform targeted therapies and predict metastatic potential.
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