Genomics

Dataset Information

0

A Mesenchymal Tumor Cell State Confers Increased Dependency on the Bcl-xL Anti-apoptotic Protein in Kidney Cancer


ABSTRACT: Genome-wide genetic screens have identified cellular dependencies in many cancers. Using Novartis’ DRIVE and the Broad Institute’s Achilles shRNA screening datasets, we mined for targetable dependencies in kidney lineage cancer cells. Our studies identified a dependency, preferentially in kidney cancer cells versus cells of other lineages, on the BCL2L1 gene, which encodes the Bcl-xL anti-apoptotic protein. Genetic and pharmacological inactivation of Bcl-xL, but not its paralog BCL2, led to fitness defects in renal cancer cells, and also sensitized them to chemotherapeutics. Expression levels of Bcl-xL, VHL status, and p53 mutation status were insufficient to predict Bcl-xL dependence. Instead, analyzing the transcriptional hallmarks of response to Bcl-xL blockade identified an elevated mesenchymal cell state signature in Bcl-xL dependent lines. Functional studies to address if these cell state differences drive Bcl-xL dependence showed that maintaining mesenchymal characteristics was necessary to confer sensitivity to Bcl-xL loss; and, conversely, that promoting mesenchymal transition was sufficient to increase sensitivity to Bcl-xL inhibition in resistant cells. This mesenchymal signature was also observed in almost a third of human renal tumors, and is associated with worse clinical outcomes. Detachment from an organized epithelium incites protective apoptotic responses in normal cells (e.g. anoikis); however, our findings suggest that, in mesenchymal kidney cancer cells Bcl-xL activity counteracts this protective mechanism and enables tumor cell survival. Altogether, our studies uncover an unexpected link between cellular cell state and dependence on anti-apoptotic proteins, and justify the use of Bcl-xL blockade to target a clinically aggressive subset of human kidney cancers.

ORGANISM(S): Homo sapiens

PROVIDER: GSE173618 | GEO | 2022/06/15

REPOSITORIES: GEO

Similar Datasets

| PRJNA726331 | ENA
2013-05-18 | E-GEOD-47059 | biostudies-arrayexpress
2021-12-22 | GSE159504 | GEO
2013-05-18 | GSE47059 | GEO
2022-06-04 | GSE199240 | GEO
2023-09-20 | GSE212122 | GEO
2013-02-01 | E-MTAB-966 | biostudies-arrayexpress
2012-12-19 | E-GEOD-42979 | biostudies-arrayexpress
2012-12-19 | GSE42979 | GEO
2023-09-06 | PXD045118 | Pride