Unknown

Dataset Information

0

Sequential fate-switches in stem-like cells drive the tumorigenic trajectory from human neural stem cells to malignant glioma.


ABSTRACT: Glioblastoma (GBM) is an incurable and highly heterogeneous brain tumor, originating from human neural stem/progenitor cells (hNSCs/hNPCs) years ahead of diagnosis. Despite extensive efforts to characterize hNSCs and end-stage GBM at bulk and single-cell levels, the de novo gliomagenic path from hNSCs is largely unknown due to technical difficulties in early-stage sampling and preclinical modeling. Here, we established two highly penetrant hNSC-derived malignant glioma models, which resemble the histopathology and transcriptional heterogeneity of human GBM. Integrating time-series analyses of whole-exome sequencing, bulk and single-cell RNA-seq, we reconstructed gliomagenic trajectories, and identified a persistent NSC-like population at all stages of tumorigenesis. Through trajectory analyses and lineage tracing, we showed that tumor progression is primarily driven by multi-step transcriptional reprogramming and fate-switches in the NSC-like cells, which sequentially generate malignant heterogeneity and induce tumor phenotype transitions. We further uncovered stage-specific oncogenic cascades, and among the candidate genes we functionally validated C1QL1 as a new glioma-promoting factor. Importantly, the neurogenic-to-gliogenic switch in NSC-like cells marks an early stage characterized by a burst of oncogenic alterations, during which transient AP-1 inhibition is sufficient to inhibit gliomagenesis. Together, our results reveal previously undercharacterized molecular dynamics and fate choices driving de novo gliomagenesis from hNSCs, and provide a blueprint for potential early-stage treatment/diagnosis for GBM.

SUBMITTER: Wang X 

PROVIDER: S-EPMC8169837 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC2693960 | biostudies-literature
| S-EPMC7384961 | biostudies-literature
| S-EPMC3719882 | biostudies-literature
| S-EPMC3589121 | biostudies-literature
| S-EPMC7351166 | biostudies-literature
| S-EPMC4532780 | biostudies-literature
| S-EPMC3637720 | biostudies-literature
| S-EPMC3775922 | biostudies-literature