Other

Dataset Information

0

HCC spatial transcriptomic profiling reveals significant and potentially targetable cancer-endothelial interactions


ABSTRACT: HCC is a highly vascular tumor, and many effective drug regimens target the tumor blood vessels. Prior bulk HCC subtyping data used bulk transcriptomes, which contained a mixture of parenchymal and stromal contributions. Using cell type–specific spatial transcriptomics techniques to separate cancer cells and endothelial cells applied to a set of 41 resected HCC tissue specimens, we report that the prior Hoshida bulk transcriptional subtyping schema is driven largely by an endothelial fraction, show an alternative tumor-specific schema has potential prognostic value, and use spatially paired ligand-receptor analyses to identify known and novel (LGALS9 tumor-HAVCR2 vessel) signaling relationships that drive HCC biology in a subtype-specific and potentially targetable manner. Our study leverages spatial gene expression profiling technologies to dissect HCC heterogeneity and identify heterogeneous sig- naling relationships between cancer cells and their endothelial cells. Future validation and expansion of these findings may validate novel cancer- endothelial cell interactions and related drug targets.

ORGANISM(S): Homo sapiens

PROVIDER: GSE277104 | GEO | 2024/09/23

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2020-02-21 | GSE131051 | GEO
2024-01-26 | PXD044778 | Pride
2019-12-10 | GSE131050 | GEO
2020-09-24 | GSE156626 | GEO
2020-09-24 | GSE156625 | GEO
2020-11-17 | PXD019566 | Pride
2013-10-19 | GSE51401 | GEO
2015-11-10 | E-GEOD-74821 | biostudies-arrayexpress
| PRJNA1160802 | ENA
2013-10-19 | E-GEOD-51401 | biostudies-arrayexpress