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Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia

ABSTRACT: Deep single-cell multi-omic profiling of drug resistance in patients with relapsed or refractory (rr) acute myeloid leukemia (AML) is a promising approach to understand and identify the molecular and cellular determinants of drug resistance. Here, we address this challenge by integrating single-cell ex vivo drug profiling (pharmacoscopy) with both bulk and single-cell resolved DNA, RNA, and protein profiling, as well as clinical annotations across samples of a cohort of 21 rrAML patients. Unsupervised data integration revealed ex vivo response to the Bcl-2 inhibitor venetoclax (VEN) to be significantly reduced in patients treated with the combination of a hypomethylating agent (HMA) and VEN compared to patients pre-exposed to HMA only, while also exposing innate Ven resistance in a subset of VEN-naive patients. Systematic molecular integration retrieved known and novel molecular mechanisms underlying VEN resistance and identified alternative therapeutic strategies in VEN resistant samples, including targeting increased proliferation by PLK inhibitor volasertib. Across data modalities, high CD36 expression on AML blasts was associated with VENres, while CD36-targeted antibody treatment ex vivo revealed striking sensitivity in VEN resistant AML. In summary, we showcase how single-cell multi-omic and functional profiling can facilitate the discovery of drug resistance mechanisms and emergent treatment vulnerabilities. Our dataset represents a comprehensive molecular and functional profiling of rrAML at single-cell resolution, providing a valuable resource for future studies.

INSTRUMENT(S): Orbitrap Fusion Lumos, Q Exactive HF-X

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Bernd Wollscheid

PROVIDER: MSV000092970 | MassIVE |

REPOSITORIES: MassIVE

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Project description:Background: A fundamental hallmark of cancer cells is their ability to sustain proliferative signaling and cell survival, reflected in a cellular chemotherapy response that is poorly understood. We questioned whether chemotherapy modulated phospho-signaling at 4 and 24 h in vivo could provide information about long-term survival in acute myeloid leukemia (AML), and if the signaling response to therapy was more informative than analysis at time of diagnosis. Methods: Peripheral blood was collected from 32 younger AML patients (age 16-74 years), before, 4- and 24 hours after start of induction chemotherapy. Samples were analyzed by 36-dimensional mass cytometry for assessment of alterations in immunophenotypes and intracellular signaling using unsupervised and supervised machine learning approaches. Results were validated by RNA sequencing and mass spectrometry proteomics (Super SILAC). Targeted sequencing was used to characterize patient samples for recurrent AML mutations. Drug sensitivity and resistance testing ex vivo was compared to activation of relevant signal transduction pathways and mutational profile. Findings: 5-year patient survival was accurately predicted in the leukemic cell population at 24 hours after therapy onset by phospho-proteins p-ERK1/2 (T202/Y204) and p-p38 (T180/Y182). RNA sequencing showed induction of MAPK target gene expression and the AP-1 transcription complex in patients with high p-ERK1/2. Super-SILAC proteomics confirmed an increase in the abundance of p38 prime target MAPKAPK2(MK2) 24 hours after start of induction therapy. Ex vivo drug sensitivity testing demonstrated high sensitivity to MEK inhibitors in the patient cells with high p-ERK1/2 measured at diagnosis or 24 hours after start of chemotherapy. Interpretation: Early single cell signaling response to chemotherapy provided precise prognostic information independent of stratification by genetics. We propose that early functional measurement of chemotherapy-potentiated MAPK pathway signaling could identify non-responders to intensive chemotherapy allowing precise treatment adjustment.

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Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia

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