4.8 Article

Integrated analysis of single-cell chromatin state and transcriptome identified common vulnerability despite glioblastoma heterogeneity

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NATL ACAD SCIENCES
DOI: 10.1073/pnas.2210991120

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single cell; glioblastoma; extrachromosomal DNA; amplicons

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In 2021, glioblastoma, the most common form of adult brain cancer, was reclassified by the World Health Organization into two subtypes based on genetic characteristics. The study analyzed the chromatin accessibility and transcription profiles of clinical samples from both types of tumors, revealing intratumoral heterogeneity and shared chromatin structure among tumor cells. Silencing specific transcription factors suppressed tumor growth, suggesting a potential therapeutic target for addressing the challenges associated with intratumoral heterogeneity.
In 2021, the World Health Organization reclassified glioblastoma, the most common form of adult brain cancer, into isocitrate dehydrogenase (IDH)-wild-type glioblastomas and grade IV IDH mutant (G4 IDHm) astrocytomas. For both tumor types, intratumoral heterogeneity is a key contributor to therapeutic failure. To better define this heterogeneity, genome-wide chromatin accessibility and transcription profiles of clinical samples of glioblastomas and G4 IDHm astrocytomas were analyzed at single-cell resolution. These profiles afforded resolution of intratumoral genetic heterogeneity , including delineation of cell-to-cell variations in distinct cell states, focal gene amplifications, as well as extrachromosomal circular DNAs. Despite differences in IDH mutation status and significant intratumoral heterogeneity, the profiled tumor cells shared a common chromatin structure defined by open regions enriched for nuclear factor 1 transcription factors (NFIA and NFIB). Silencing of NFIA or NFIB suppressed in vitro and in vivo growths of patient-derived glioblastomas and G4 IDHm astrocytoma models. These findings suggest that despite distinct genotypes and cell states, glioblastoma/ G4 astrocytoma cells share dependency on core transcriptional programs, yielding an attractive platform for addressing therapeutic challenges associated with intratumoral heterogeneity.

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