Transcriptomics

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Single-cell analysis of hepatoblastoma identifies distinct tumor cell signatures that predict susceptibility to chemotherapy using patient-specific tumor spheroids


ABSTRACT: Method: In this study we use single cell RNA sequencing (scRNA-seq) to distinguish HB tumor cells from non-tumor cells and to identify distinct tumor cell types that account for the heterogeneity of HB. We also use a novel method to grow HB tumor cells as patient-specific spheroids (PDS) and show how this can be used to predict treatment response and identify novel therapeutic targets. Results: This study establishes that tumor heterogeneity can be defined by the relative proportions of five distinct subtypes of tumor cells. Notably, patient-derived HB spheroid cultures predict differential responses to treatment based on the transcriptomic signature of each tumor, suggesting a path forward for precision oncology for these tumors. Conclusions: These results define HB tumor heterogeneity with single-cell resolution and demonstrate that patient-derived spheroids can be used to evaluate responses to chemotherapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE186975 | GEO | 2022/03/01

REPOSITORIES: GEO

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