TY - JOUR
T1 - Multi-dimensional profiling of hepatoblastomas and patient-derived tumor organoids uncovers tumor subpopulations with divergent WNT activation profiles and identifies pan-hepatoblastoma drug sensitivities
AU - Kluiver, Thomas
AU - Lu, Yuyan
AU - Schubert, Stephanie
AU - Kraaier, Lianne
AU - Ringnalda, Femke
AU - Lijnzaad, Philip
AU - De Martino, Jeff
AU - Megchelenbrink, Wout
AU - Amo-Addae, Vicky
AU - Eising, Selma
AU - de Faria, Flavia
AU - Münster, Daniel
AU - van de Wetering, Marc
AU - Kerl, Kornelius
AU - Duiker, Evelien
AU - van den Heuvel, Marius
AU - de Meijer, Vincent
AU - de Kleine, Ruben H
AU - de Krijger, Ronald
AU - Molenaar, Jan
AU - Margaritis, Thanasis
AU - Stunnenberg, Henk
AU - Zsiros, József
AU - Clevers, Hans
AU - Peng, Weng Chuan
PY - 2023
Y1 - 2023
N2 - Hepatoblastoma, the most prevalent pediatric liver cancer, almost always carries a WNT-activating CTNNB1 mutation, yet exhibits notable molecular heterogeneity. To characterize this heterogeneity and identify novel targeted therapies, we performed comprehensive analysis of hepatoblastomas and tumor-derived organoids using single-cell RNA-seq, spatial transcriptomics, single-cell ATAC-seq and high throughput drug profiling. We identified two distinct tumor epithelial signatures: hepatic ‘fetal-like’ and WNT-high ‘embryonal-like’ signatures, displaying divergent WNT signaling patterns. The liver-specific WNT targets were enriched in the fetal-like group, while the embryonal-like group was enriched in canonical WNT target genes. Gene regulatory network analysis revealed enrichment of regulons related to hepatic function such as bile acid, lipid and xenobiotic metabolism in the fetal-like subgroup but not in the embryonal-like subgroup. In addition, the dichotomous expression pattern of the transcription factors HNF4A and LEF1 allowed for a clear distinction between the fetal- and embryonal-like tumors. We also performed high-throughput drug screening using patient-derived tumor organoids and identified sensitivity to multiple inhibitor classes, most notably HDAC inhibitors. Intriguingly, embryonal-like tumor organoids, but not fetal-like tumor organoids, were sensitive to FGFR inhibitor treatments, suggesting a dependency on FGFR signaling. In summary, our data uncover the molecular and drug sensitivity landscapes of hepatoblastoma and pave the way for the development of targeted therapies.
AB - Hepatoblastoma, the most prevalent pediatric liver cancer, almost always carries a WNT-activating CTNNB1 mutation, yet exhibits notable molecular heterogeneity. To characterize this heterogeneity and identify novel targeted therapies, we performed comprehensive analysis of hepatoblastomas and tumor-derived organoids using single-cell RNA-seq, spatial transcriptomics, single-cell ATAC-seq and high throughput drug profiling. We identified two distinct tumor epithelial signatures: hepatic ‘fetal-like’ and WNT-high ‘embryonal-like’ signatures, displaying divergent WNT signaling patterns. The liver-specific WNT targets were enriched in the fetal-like group, while the embryonal-like group was enriched in canonical WNT target genes. Gene regulatory network analysis revealed enrichment of regulons related to hepatic function such as bile acid, lipid and xenobiotic metabolism in the fetal-like subgroup but not in the embryonal-like subgroup. In addition, the dichotomous expression pattern of the transcription factors HNF4A and LEF1 allowed for a clear distinction between the fetal- and embryonal-like tumors. We also performed high-throughput drug screening using patient-derived tumor organoids and identified sensitivity to multiple inhibitor classes, most notably HDAC inhibitors. Intriguingly, embryonal-like tumor organoids, but not fetal-like tumor organoids, were sensitive to FGFR inhibitor treatments, suggesting a dependency on FGFR signaling. In summary, our data uncover the molecular and drug sensitivity landscapes of hepatoblastoma and pave the way for the development of targeted therapies.
U2 - 10.1101/2023.08.28.554783
DO - 10.1101/2023.08.28.554783
M3 - Article
JO - bioRxiv
JF - bioRxiv
ER -