AI Article Synopsis

  • Oncogene amplification on extrachromosomal DNA (ecDNA) is linked to treatment resistance and poorer survival in cancer patients, particularly those with glioblastoma, contributing to genetic diversity in tumors.* ! -
  • The study used a new computational model called 'SPECIES' to analyze tumor samples from 94 glioblastoma patients, providing insights into how ecDNA evolves in time and space within tumors.* ! -
  • Findings reveal significant patterns in ecDNA copy number variation, indicating strong positive selection on certain oncogenes and suggesting that ecDNA accumulation occurs before major cell growth phases.* !

Article Abstract

Unlabelled: Oncogene amplification on extrachromosomal DNA (ecDNA) is strongly associated with treatment resistance and shorter survival for patients with cancer, including patients with glioblastoma. The non-chromosomal inheritance of ecDNA during cell division is a major contributor to intratumoral genetic heterogeneity. At present, the spatial dynamics of ecDNA, and the impact on tumor evolutionary trajectories, are not well understood. Here, we investigate the spatial-temporal evolution of ecDNA and its clinical impact by analyzing tumor samples from 94 treatment-naive human -wildtype glioblastoma patients. We developed a spatial-temporal computational model of ecDNA positive tumors ('SPECIES') that integrates whole-genome sequencing, multi-region DNA FISH, and nascent RNAscope, to provide unique insight into the spatial dynamics of ecDNA evolution. Random segregation in combination with positive selection of ecDNAs induce large, predictable spatial patterns of cell-to-cell ecDNA copy number variation that are highly dependent on the oncogene encoded on the circular DNA. ecDNAs often reach high mean copy number (mean of 50 copies per tumor cell), are under strong positive selection (mean selection coefficient, > 2) and do not co-amplify other oncogenes on the same ecDNA particles. In contrast, ecDNAs have lower mean copy number (mean of 15 copies per cell), are under weaker positive selection and frequently co-amplify other oncogenes on the same ecDNA. Evolutionary modeling suggests that ecDNAs often accumulate prior to clonal expansion. structural variants, including and c-terminal deletions are under strong positive selection, are found exclusively on ecDNA, and are intermixed with wild-type ecDNAs. Simulations show ecDNA likely arises after ecDNA formation in a cell with high wild-type copy number (> 10) before the onset of the most recent clonal expansion. This remains true even in cases of co-selection and co-amplification of multiple oncogenic ecDNA species in a subset of patients. Overall, our results suggest a potential time window in which early ecDNA detection may provide an opportunity for more effective intervention.

Highlights: ecDNA is the most common mechanism of focal oncogene amplification in wt glioblastoma. and its variants on ecDNA are particularly potent, likely arising early in tumor development, providing a strong oncogenic stimulus to drive tumorigenesis. Wild-type and variant ecDNA heteroplasmy (co-occurrence) is common with vIII or c-terminal deletions being derived from wild-type ecDNA prior to the most recent clonal expansion. Tumors with ecDNA amplified versus exhibit different evolutionary trajectories. SPECIES model can infer spatial evolutionary dynamics of ecDNA in cancer.A delay between ecDNA accumulation and subsequent oncogenic mutation may give a therapeutic window for early intervention.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11526901PMC
http://dx.doi.org/10.1101/2024.10.22.619657DOI Listing

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