bioRxivCancer BiologyPreprint
Notch signaling maintains a progenitor-like subclass of hepatocellular carcinoma
Kerstin SeideliD, Robert PiskoliD, Thi Thu Thao NguyeniD, Amy Shelton, Charisa CottonhamiD, Cecile C. de la Cruz, Joseph CastilloiD, Jesse Garcia, Udi Segal, Mark A. MerchantiD, Yeqing Angela YangiD, Jasmine Chen, Musa Ahmed, Alexis ScherliD, Rajesh VijiD, Lluc MosteiroiD, Yan WuiD, Zora D. ModrusaniD, Ciara MetcalfeiD, Chris Siebel
Abstract
Hepatocellular carcinomas (HCCs) constitute one of the few cancer indications for which mortality rates continue to rise. While Notch signaling dictates a key progenitor lineage choice during development, its role in HCC has remained controversial. Using therapeutic antibodies targeting Notch ligands and receptors to screen over 40 patient-derived xenograft models, we here identify progenitor-like HCCs that crucially depend on a tumor-intrinsic JAG1-NOTCH2 signal. Inhibiting this signal induces tumor regressions by triggering progenitor-to-hepatocyte differentiation, the same cell fate-switch that Notch controls during development. Transcriptomic analysis places the responsive tumors within the well-characterized progenitor subclass, a poor prognostic group of highly proliferative tumors, providing a diagnostic method to enrich for Notch-dependent HCCs. Furthermore, single-cell RNA sequencing uncovers a heterogeneous population of tumor cells and reveals how Notch inhibition shifts cells from a mixed cholangiocyte-hepatocyte lineage to one resembling mature hepatocytes. Analyzing the underlying transcriptional programs brings molecular detail to this process by showing that Notch inhibition de-represses expression of CEBPA, which enables the activity of HNF4, a hepatocyte lineage factor that is otherwise quiescent. We thus describe a compelling and targetable dependency in a poor-prognosis class of HCCs.
- organism: human
- assay: bulk RNA-seq
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 1
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