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CRISPR Screen of Venetoclax Response-Associated Genes Identifies Transcription Factor ZNF740 as a Key Functional Regulator [RNA-Seq]

GSE267342 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/09/04 Platform GPL24676
Summary
BCL-2 inhibitors such as venetoclax offer therapeutic promise in acute myeloid leukemia (AML) and other cancers, but drug resistance poses a significant challenge. It is crucial to understand the mechanisms that regulate venetoclax response. While correlative studies have identified numerous genes linked to venetoclax sensitivity, their direct impact on the drug response remains unclear. In this study, we targeted around 1,400 genes upregulated in venetoclax-sensitive primary AML samples and carried out a CRISPR knockout screen to evaluate their direct effects on venetoclax response. Our screen identified the transcription factor ZNF740 as a critical regulator, with its expression consistently predicting venetoclax sensitivity across subtypes of the FAB classification. ZNF740 depletion leads to increased resistance to venetoclax, while its overexpression enhances sensitivity to the drug. Mechanistically, our integrative transcriptomic and genomic analysis identifies NOXA as a direct target of ZNF740, which negatively regulates MCL-1 protein stability. Loss of ZNF740 downregulates NOXA and increases the steady state protein levels of MCL-1 in AML cells. Restoring NOXA expression in ZNF740-depleted cells re-sensitizes AML cells to venetoclax treatment. Furthermore, we demonstrated that dual targeting of MCL-1 and BCL-2 effectively treats ZNF740-deficient AML in vivo. Together, our work systematically elucidates the causal relationship between venetoclax response signature genes and establishes ZNF740 as a novel transcription factor regulating venetoclax sensitivity.
Published in
CRISPR screen of venetoclax response-associated genes identifies transcription factor ZNF740 as a key functional regulator
Zhang L, Zhou X, Aryal S et al. · Cell death & disease 2024 · PMID 39191721 · doi:10.1038/s41419-024-06995-x
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Also filed as BioProject PRJNA1111110 and SRA study SRP507399. Searching any of these in the dataset finder brings you back here.

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