Integrated multi-omics analyses reveal homology-directed repair pathway as a unique dependency in near-haploid leukemia.
Yunpeng Liu-LupoJames Dongjoo HamSwarna K A JeewajeeLan NguyenToni Marie DeloreyAzucena RamosDavid M WeinstockAviv RegevMichael T HemannPublished in: Blood cancer journal (2023)
Whole chromosome losses resulting in near-haploid karyotypes are found in a rare subgroup of treatment-refractory acute lymphoblastic leukemia. To systematically dissect the unique physiology and uncover susceptibilities that can be exploited in near-haploid leukemia, we leveraged single-cell RNA-Seq and computational inference of cell cycle stages to pinpoint key differences between near-haploid and diploid leukemia cells. Combining cell cycle stage-specific differential expression with gene essentiality scores from a genome-wide CRISPR-Cas9-mediated knockout screen, we identified the homologous recombination pathway component RAD51B as an essential gene in near-haploid leukemia. DNA damage analyses revealed significantly increased sensitivity of RAD51-mediated repair to RAD51B loss in the G2/M stage of near-haploid cells, suggesting a unique role of RAD51B in the homologous recombination pathway. Elevated G2/M and G1/S checkpoint signaling was part of a RAD51B signature expression program in response to chemotherapy in a xenograft model of human near-haploid B-ALL, and RAD51B and its associated programs were overexpressed in a large panel of near-haploid B-ALL patients. These data highlight a unique genetic dependency on DNA repair machinery in near-haploid leukemia and demarcate RAD51B as a promising candidate for targeted therapy in this treatment-resistant disease.
Keyphrases
- dna repair
- dna damage
- cell cycle
- single cell
- embryonic stem cells
- rna seq
- genome wide
- acute myeloid leukemia
- dna damage response
- bone marrow
- acute lymphoblastic leukemia
- crispr cas
- oxidative stress
- cell proliferation
- copy number
- high throughput
- dna methylation
- induced apoptosis
- endothelial cells
- public health
- ejection fraction
- artificial intelligence
- newly diagnosed
- smoking cessation
- radiation therapy
- patient reported
- big data
- machine learning