ReviewNature reviews. Clinical oncology2022
Leveraging extrachromosomal DNA to fine-tune trials of targeted therapy for glioblastoma: opportunities and challenges.
Review in Nature reviews. Clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed.
- Interpretable prototype learning for EGFR amplification prediction from whole-slide images in glioblastoma.Journal of pathology informatics · 2026Article
- Extrachromosomal DNA as a platform for epigenetic reprogramming in cancer.Molecular cancer · 2026Review
- Telomere-driven replicative crisis is driven by large-scale changes in genomic architecture.Genome research · 2026Article
- Applications of transcranial focused ultrasound for primary brain tumors.Neuro-oncology advances · 2026Review
- Raman Spectroscopy in Cancer Diagnostics and Surgery: 25 Years of Progress from Surface-Enhanced Raman Spectroscopy to Artificial Intelligence─A Bibliometric and Visualized Study.Analytical chemistry · 2026Review
- TLR7 modulates glioblastoma progression through PI3K/AKT/mTOR pathway and immune microenvironment remodeling.Irish journal of medical science · 2026Article
- FCGBP Promotes Glioma Growth by Regulating JAK2/STAT3/c-Myc Pathway.Cancer medicine · 2026Article
- A novel CRISPR-Cas9 nickase-mediated rolling circle amplification (CRIRCA) technique for gene identification and quantitative analysis of extrachromosomal DNA.Journal of advanced research · 2026Article
- Extrachromosomal DNA-Driven Oncogene Spatial Heterogeneity and Evolution in Glioblastoma.Cancer discovery · 2025Article
- Droplet Hi-C enables scalable, single-cell profiling of chromatin architecture in heterogeneous tissues.Nature biotechnology · 2025Article
- Vabametkib Treatment in Refractory Glioblastoma: A Case Report.JCO precision oncology · 2025Article
- Research Advances of Extrachromosomal Circular DNA in Breast Cancer.Cancer medicine · 2025Review
- Extrachromosomal DNA: shaping the evolutionary dynamics of cancer.Trends in cancer · 2025Review
- Advances in Cellular Immune Theranostic Approaches for Glioblastoma: Current Trends and Future Directions.Cancer innovation · 2025Review
- Ultrasound-responsive nanoparticles for imaging and therapy of brain tumors.Materials today. Bio · 2025Review
- Detection of Gene Fusions and Rearrangements in Formalin-Fixed, Paraffin-Embedded Solid Tumor Specimens Using High-Throughput Chromosome Conformation Capture.The Journal of molecular diagnostics : JMD · 2025Article
- Extrachromosomal circular DNA: a double-edged sword in cancer progression and age-related diseases.Human cell · 2025Review
- Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.Frontiers in immunology · 2025Article
- Origins and impact of extrachromosomal DNA.Nature · 2024Article
- [European journal of nuclear medicine and molecular imaging · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Glioblastoma evolution is facilitated by intratumour heterogeneity, which poses a major hurdle to effective treatment. Evidence indicates a key role for oncogene amplification on extrachromosomal DNA (ecDNA) in accelerating tumour evolution and thus resistance to treatment, particularly in glioblastomas. Oncogenes contained within ecDNA can reach high copy numbers and expression levels, and their unequal segregation can result in more rapid copy number changes in response to therapy than is possible through natural selection of intrachromosomal genomic loci. Notably, targeted therapies inhibiting oncogenic pathways have failed to improve glioblastoma outcomes. In this Perspective, we outline reasons for this disappointing lack of clinical translation and present the emerging evidence implicating ecDNA as an important driver of tumour evolution. Furthermore, we suggest that through detection of ecDNA, patient selection for clinical trials of novel agents can be optimized to include those most likely to benefit based on current understanding of resistance mechanisms. We discuss the challenges to successful translation of this approach, including accurate detection of ecDNA in tumour tissue with novel technologies, development of faithful preclinical models for predicting the efficacy of novel agents in the presence of ecDNA oncogenes, and understanding the mechanisms of ecDNA formation during cancer evolution and how they could be attenuated therapeutically. Finally, we evaluate the feasibility of routine ecDNA characterization in the clinic and how this process could be integrated with other methods of molecular stratification to maximize the potential for clinical translation of precision medicines.
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