Extrachromosomal DNA driven oncogene spatial heterogeneity and evolution in glioblastoma
Abstract:
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 IDH -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. EGFR ecDNAs often reach high mean copy number (mean of 50 copies per tumor cell), are under strong positive selection (mean selection coefficient, s > 2) and do not co-amplify other oncogenes on the same ecDNA particles. In contrast, PDGFRA 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 EGFR ecDNAs often accumulate prior to clonal expansion. EGFR structural variants, including vIII and c-terminal deletions are under strong positive selection, are found exclusively on ecDNA, and are intermixed with wild-type EGFR ecDNAs. Simulations show EGFRvIII ecDNA likely arises after ecDNA formation in a cell with high wild-type EGFR 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 IDH wt glioblastoma. EGFR 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 EGFR ecDNA heteroplasmy (co-occurrence) is common with EGFR vIII or c-terminal deletions being derived from EGFR wild-type ecDNA prior to the most recent clonal expansion. Tumors with ecDNA amplified EGFR versus PDGFRA 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.
Insights
Extrachromosomal DNA (ecDNA) amplification drives glioblastoma evolution and treatment resistance. Early detection of ecDNA, particularly EGFR variants, may offer a therapeutic window for intervention.
Area of Science:
- Oncology
- Genetics
- Computational Biology
Background:
- Extrachromosomal DNA (ecDNA) amplification is a key driver of cancer, particularly glioblastoma, contributing to treatment resistance and poor survival.
- The spatial dynamics and evolutionary impact of ecDNA remain poorly understood, hindering effective therapeutic strategies.
Purpose of the Study:
- To investigate the spatial-temporal evolution of ecDNA in glioblastoma and its clinical implications.
- To develop and apply a computational model for analyzing ecDNA dynamics in patient tumor samples.
Main Methods:
- Analysis of tumor samples from 94 treatment-naive IDH-wildtype glioblastoma patients.
- Development of the SPECIES computational model integrating whole-genome sequencing, DNA FISH, and RNAscope.
- Modeling of ecDNA spatial dynamics, copy number variation, and selection pressures.
Main Results:
- Identified distinct evolutionary trajectories for EGFR and PDGFRA ecDNAs, with EGFR ecDNAs showing higher copy numbers and stronger positive selection.
- Demonstrated that EGFR ecDNAs, including variants like EGFRvIII, often form early in tumor development, preceding clonal expansion.
- Showcased the SPECIES model's ability to infer spatial evolutionary dynamics and identify potential therapeutic windows based on ecDNA accumulation timing.
Conclusions:
- Spatial patterns of ecDNA copy number variation are predictable and influenced by the specific oncogene amplified.
- EGFR ecDNAs, particularly variants, arise early and contribute significantly to glioblastoma tumorigenesis.
- Early detection of ecDNA may provide a critical window for therapeutic intervention in glioblastoma.
More Related Videos
Related Concept Videos
Cancers Originate from Somatic Mutations in a Single Cell
Tumor Progression
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Adaptive Mechanisms in Cancer Cells
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Cancer-Critical Genes I: Proto-oncogenes
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Induced Pluripotent Stem Cells
Somatic...


