Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma
Alexander Bondoc, Kathryn Glaser, Kang Jin, Charissa Lake, Stefano Cairo, James Geller, Gregory Tiao, Bruce Aronow
Abstract
Hepatoblastoma (HB) is the most common primary liver malignancy of childhood, and molecular investigations are limited and effective treatment options for chemoresistant disease are lacking. There is a knowledge gap in the investigation of key driver cells of HB in tumor. Here we show single cell ribonucleic acid sequencing (scRNAseq) analysis of human tumor, background liver, and patient derived xenograft (PDX) to demonstrate gene expression patterns within tumor and to identify intratumor cell subtype heterogeneity to define differing roles in pathogenesis based on intracellular signaling in pediatric HB. We have identified a driver tumor cell cluster in HB by genetic expression which can be examined to define disease mechanism and treatments. Identification of both critical mechanistic pathways combined with unique cell populations provide the basis for discovery and investigation of novel treatment strategies in vitro and in vivo.
Datasets
1. Modeling Hepatoblastoma: Identification of Distinct Tumor Cell Populations and Key Genetic Mechanisms through Single Cell Sequencing
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Source data
https://cellxgene.cziscience.com/collections/a261413d-835b-4f1e-ab0c-dada55ea6afd
Alias names
GSE180665, PMID34497364, PMC8426487
Cite this study
Bondoc, A., Glaser, K., Jin, K., Lake, C., Cairo, S., Geller, J., Tiao, G. and Aronow, B., 2021. Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma. Communications Biology, 4(1), p.1049. https://doi.org/10.1038/s42003-021-02562-8