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Record W2585171566 · doi:10.1182/blood.v118.21.61.61

Lysosomal Disruption Selectively Targets Leukemia Cells and Leukemia Stem Cells Through A Mechanism Related to Increased Reactive Oxygen Species Production

2011· article· en· W2585171566 on OpenAlexaff
Mahadeo A. Sukhai, Rose Hurren, Angela C. Rutledge, Bozena Livak, Xiaoming Wang, Ayesh K. Seneviratne, Maria C. Cusimano, Marinella Gebbia, Marko Škrtić, Hongxiang Sun, Marcela Gronda, Paul A. Spagnuolo, Malene L. Urbanus, Kolja Eppert, Dilan Dissanayake, Xiaoming Li, Thomas Sun, Frederick S. Vizeacoumar, Alessandro Datti, Pamela S. Ohashi, Jeffrey L. Wrana, Ian M. Rogers, Mark D. Minden, Jean Wang, John E. Dick, Seth J. Corey, Corey Nislow, Guri Giaever, Aaron D. Schimmer

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMefloquineLeukemiaPharmacologyHaematopoiesisCytotoxic T cellMyeloid leukemiaStem cellCancer researchImmunologyMedicineBiologyChloroquineIn vitroCell biologyMalariaBiochemistry

Abstract

fetched live from OpenAlex

Abstract Abstract 61 To identify new therapeutic strategies for AML, we compiled and screened an in-house library of on-patent and off-patent drugs to identify agents cytotoxic to leukemia cells. From this screen, we identified mefloquine, an off-patent drug indicated for the treatment and prophylaxis of malaria. In secondary assays, mefloquine decreased the viability of 9/10 human and murine leukemia cell lines (EC50 3.25–8.0 μM). Moreover, it reduced the viability of 4/5 primary AML samples, but was not cytotoxic to normal hematopoietic cells (EC50>31 μM). Importantly, mefloquine reduced the clonogenic growth of primary AML samples, but not normal hematopoietic cells, and completely inhibited engraftment of primary AML cells into immune deficient mice. Finally, systemic treatment with oral mefloquine (50 mg/kg/day) decreased leukemic burden without evidence of toxicity in 4 mouse models of leukemia, including mice engrafted with primary AML cells. Thus, mefloquine effectively targets leukemic cells, including leukemia stem cells, at concentrations that appear pharmacologically achievable and are not toxic to normal hematopoietic cells. To identify the mechanisms of mefloquine-mediated cell death in AML cells, we performed a binary drug combination screen, hypothesizing that drugs that synergized with mefloquine may share overlapping mechanism of action. From this combination screen of 550 drugs, we identified 18 that reproducibly synergized with mefloquine as measured by the Excess over Bliss additivism score, including 3 members of the artemisinin class of anti-malarials: artemisinin, artesunate and artenimol. Strikingly, 10/18 synergistic compounds, including the artemisinins, were known generators of reactive oxygen species (ROS). Therefore we tested mefloquine's ability to increase ROS in leukemic cells. Mefloquine increased ROS production in leukemia cells in a dose- and time-dependent manner. Co-treatment with ROS scavengers α-tocopherol and N-acetyl-cysteine abrogated mefloquine-induced ROS production and cell death, indicating that ROS production was functionally important for mefloquine-mediated cell death. Moreover, the artemisinins induced ROS as single agents, and synergistically increased ROS when combined with mefloquine. To identify cellular target(s) of mefloquine's anti-leukemic effects, we performed a yeast genome-wide functional screen to identify heterozygous gene deletions that rendered yeast more sensitive to mefloquine. 21/37 genes whose depletion conferred >4-fold sensitivity to mefloquine were associated with function of the yeast vacuole, equivalent to the mammalian lysosome. Consistent with these data, fluorescent confocal microscopy demonstrated that mefloquine and artesunate disrupted lysosomes. Cell death after mefloquine and artesunate treatment was caspase-independent and associated with increased incorporation of monodancylcadaverin in autophagosomes, consistent with the effect of these drugs on the lysosomes. To further explore the anti-leukemic activity of lysosomal disruption, we evaluated the anti-leukemic effects of the known lysosomal disrupter L-leucine-leucine methyl ether (LeuLeuOMe). Similar to mefloquine and artesunate, LeuLeuOMe induced cell death in leukemia cells, increased ROS production, and disrupted the lysosomes. Highlighting the potential clinical utility of lysosomal disrupters for the treatment of leukemia, a patient with relapsed/refractory juvenile myelomonocytic leukemia self-administered artemisinin. The artemisinin cleared the circulating blasts from the circulating blasts and the patient proceeded to allotransplant. Finally, to investigate the basis of leukemic cell hypersensitivity to lysosomal disruption, we assessed lysosomal characteristics of primary AML and normal hematopoietic cells. By gene expression analysis, AML patient samples had higher mRNA levels of the lysosomal cathepsins A, B, C, D, H, L, S and Z, compared to CD34+ normal hematopoietic cells, and cathepsins C, D and Z were significantly over-expressed in the LSC compartment, compared to normal HSCs. In summary, our data demonstrate that lysosomal disruption preferentially targets AML cells and AML stem cells through a mechanism related to increased ROS production. Thus, this work highlights lysosomal disruption as a novel therapeutic strategy for AML. Disclosures: Off Label Use: This study includes a case report of off-label use of the anti-malarial artemisinin in the treatment of a case of juvenile myelomonocytic leukemia.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.208
Teacher spread0.195 · 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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Citations2
Published2011
Admission routes1
Has abstractyes

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