Genome-Wide CRISPR-Cas9 Screening Identifies a Synergy between Hypomethylating Agents and SUMOylation Blockade in Myelodysplastic Syndromes and Acute Myeloid Leukemia (RNA-Seq)
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE261337
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Hypomethylating agents (HMAs) are frontline therapies effective at altering the natural course of Myelodysplastic Neoplasms (MDS). However, acquired resistance and treatment failure are hallmarks of HMA therapy. Developing effective and rational HMA-focused combinatorial therapies is challenging as the underlying mechanisms driving HMA efficacy are complex. To address this clinical need, we performed a genome-wide CRISPR-Cas9 screen in a human MDS-derived cell line, MDS-L, and characterized TOPORS as a highly ranked target that synergizes with HMAs to reduce leukemic burden and improve survival in xenograft models. We demonstrated that the depletion of TOPORS mediates sensitivity to HMAs by predisposing leukemic blasts to an impaired DNA damage response (DDR) accompanied by an accumulation of SUMOylated DNMT1 in HMA-treated TOPORS-depleted cells. Importantly, the combination of HMAs with targeting of TOPORS did not functionally impair healthy hematopoiesis. While inhibitors of TOPORS are currently unavailable, we show that inhibition of SUMOylation (upstream of TOPORS functions) with TAK-981 partially phenocopies HMA-sensitivity and DDR impairment. Overall, our data suggest that the combination of HMAs with the inhibition of SUMOylation demonstrates a favourable therapeutic index and represents a rational framework towards the treatment of High-Risk MDS (HR-MDS) or Acute Myeloid Leukemia (AML). To investigate the role of TOPORS in regulating AZA sensitivity in MDS, we generated a TOPORS-ko MDS-L cell line using CRISPR-Cas9. We then performed gene expression profiling analysis using bulk RNA-seq data obtained from control and TOPORS-ko MDS-L cells, treated with AZA or DMSO at D4. We performed differential gene expression and differential splice event analyses using the resulting RNA-seq datasets.
创建时间:
2024-09-30



