bioRxivCancer BiologyPreprint
Sequential drug treatment targeting cell cycle and cell fate regulatory programs blocks non-genetic cancer evolution in acute lymphoblastic leukemia
A. Malyukova, M. Lahnalampi, T. Falques-Costa, P. Polonen, M. Sipola, J. Mehtonen, S. Teppo, J. Viiliainen, O. Lohi, A. Hagstrom-Andersson, M. Heinaniemi, O. Sangfelt
Abstract
Targeted therapies exploiting vulnerabilities of cancer cells hold promise for improving patient outcome and reducing side-effects of chemotherapy. However, efficacy of precision therapies is limited in part because of the cellular heterogeneity of tumors. A better mechanistic understanding of how drug effect is linked to cancer cell state diversity is crucial for identifying effective combination therapies that can overcome the heterogeneity to prevent disease recurrence. Here, we characterized at the level of gene regulatory networks and at single-cell resolution the effect of G2/M cell cycle checkpoint inhibition in acute lymphoblastic leukemia (ALL) and demonstrate that WEE1 targeted therapy impinges on cell fate decision regulatory circuits. We found highest inhibition of recovery of proliferation in ALL cells with KMT2A-rearrangment (KMT2A-r), compared to cells of other leukemia subgroups. Single-cell transcriptome and chromatin accessibility profiling of (KMT2A::AFF1) RS4;11 cells treated with the WEE1 inhibitor AZD1775 revealed diversification of cell states at the fate decision points, with a fraction of cells exhibiting strong activation of p53-driven processes linked to induction of apoptosis and senescence, and disruption of a core KMT2A-RUNX1-MYC regulatory network through CDK1-mediated RUNX1 degradation. In RS4;11 cells and in patient-derived xenograft (PDX) model, we uncovered that in this cell state diversification induced by WEE1 inhibition, a subpopulation transitioned to a cell state characterized by activation of transcription factors regulating pre-B cell fate, lipid metabolism and pre-BCR signaling which supported a drug tolerance. Sequential treatment targeting the drug tolerant subpopulation with BCR-signaling inhibitors dasatinib, ibrutinib, or perturbing metabolism by fatostatin or AZD2014 after AZD1775 administration, effectively counteracted drug tolerance that drove recovery of leukemic cells. Collectively, our findings provide new insights into the tight connectivity of gene regulatory programs associated with cell cycle and cell fate regulation, and a rationale for sequential administration of WEE1 inhibitors with low toxicity inhibitors of pre-BCR signaling or metabolism.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- approach: machine learning (classical)
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