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Record W3095808554 · doi:10.1182/blood-2020-140595

Targeting AXL Kinase Sensitizes Acute Myeloid Leukemia Stem and Progenitor Cells to Venetoclax Treatment

2020· article· en· W3095808554 on OpenAlexaff
Katharina Rothe, Xiaojia Niu, Min Chen, Rick Li, Sung-Eun Nam, Xiuyan Zhang, German Novakovskiy, Ye-Hyeon Ahn, Shenshen Lai, Hong Zhang, Jun Yan, Hong Liu, Yun Zhao, Depei Wu, Yubin Ge, Wyeth W. Wasserman, Calvin K. Yip, Zaihui Zhang, Xiaoyan Jiang

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPhagocytosis and Immune Regulation
Canadian institutionsSignalChem (Canada)Terry Fox Research InstituteUniversity of British Columbia
Fundersnot available
KeywordsVenetoclaxGAS6Myeloid leukemiaCancer researchAXL receptor tyrosine kinaseProgenitor cellMyeloidLeukemiaStem cellBiologyPharmacologyMedicineReceptor tyrosine kinaseInternal medicineImmunologyChronic lymphocytic leukemiaReceptorGenetics

Abstract

fetched live from OpenAlex

Acute myeloid leukemia (AML) is a heterogeneous haematological cancer characterized phenotypically by the rapid clonal growth of myeloid cells and an accumulation of blasts in the peripheral blood and bone marrow of patients. Despite the major progress that has been made in categorizing different genetic and molecular AML subgroups, therapies and long-term patient outcomes have not changed significantly over the past four decades. Recently, venetoclax (ABT-199), a BH3-mimetic and selective BCL-2 inhibitor, was approved for the treatment of older patients with AML. However, the limited efficacy, drug resistance in complex karyotype AML and disease progression on venetoclax as well as the inherent resistance of leukemic stem cells (LSCs) to therapy pose significant clinical challenges, warranting identification of novel targets and improved treatment strategies. One candidate target is AXL, a member of the TYRO3/AXL/MER (TAM) family of receptor tyrosine kinases. AXL and its ligand growth arrest-specific gene 6 (GAS6) are elevated in AML patients and LSCs, and associated with poor prognosis. To test whether targeting of the AXL/GAS6 pathway is a feasible treatment strategy for AML, in particular to eradicate LSCs, we developed SLC-391, a novel, potent and selective AXL inhibitor. In vitro and in vivo evaluations of the pharmaceutical properties of SLC-391 indicated reasonable solubility, excellent metabolic stability as well as desirable bioavailability in mice and rats. In silico molecular docking analysis showed that SLC391 can adopt a conformation with surface and charge complementary to the active site of the AXL kinase, potentially engaging in hydrophobic ring-mediated interactions. Further, cell-based studies discovered that SLC-391 targets AML cells with high AXL/GAS6 expression, particularly MLL+ AML cells, and synergizes with venetoclax in cell viability and apoptosis assays (CI<0.6). In addition, simultaneous AXL and BCL-2 inhibition reduced the clonal short- and long-term growth of primitive AML patient cells in CFC re-plating and LTC-IC assays compared to single or control treatments (20-95% inhibition). Moreover, a combination of AXL inhibition and venetoclax treatment was able to target LSCs and AML blasts in two different preclinical patient-derived xenotransplantation (PDX) models, extending the mean survival of these mice by 14-30 days compared to single agents (P<0.025). Mechanistically, single-cell RNA-sequencing and functional validation studies revealed that AXL inhibition perturbs oxidative metabolism, and differentially targets signaling pathways to synergize with venetoclax in leukemic cell killing. Importantly, the combination of AXL inhibition plus venetoclax treatment was not toxic to normal BM cells from healthy donors. Hence, our findings identify a promising, improved and specific treatment strategy for AML, particularly patients with high AXL/GAS6 expression. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.216
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
Has abstractyes

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