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Sabutoclax, a Novel Pan BCL2 Family Inhibitor, Sensitizes Dormant Blast Crisis Chronic Myeloid Leukemia Stem Cells to Dasatinib

2012· article· en· W2563054377 on OpenAlexaff
Heather Leu, Daniel Goff, Janine M. Low-Marchelli, Angela C. Court, Kristen M. Smith, Wenxue Ma, Anil Sadarangani, Alice Shih, Jun Wei, Dayong Zhai, Jason Gotlib, Mark D. Minden, Giovanni Martinelli, Marco A. Marra, Kelly A. Frazer, Maurizio Pellecchia, John C. Reed, Catriona Jamieson

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsBC Cancer AgencyPrincess Margaret Cancer Centre
Fundersnot available
KeywordsDasatinibMyeloid leukemiaCancer researchStem cellPopulationBiologyHaematopoiesisImmunologyMyeloidMedicineImatinibCell biology

Abstract

fetched live from OpenAlex

Abstract Abstract 3739 Leukemia stem cells (LSC) represent a frequently dormant self-renewing population integral to the initiation, maintenance, and progression of human chromic myeloid leukemia (CML). The current standard of care dasatinib, a BCR-ABL targeted tyrosine kinase inhibitor (TKI), effectively eradicates the bulk of CML cells but frequently fails to affect the LSC population that is thought to drive CML relapse. Members in the BCL2 family are proteins that regulate apoptosis, 6 of which regulate cell survival. Each of these 6 members has a long and short isoform with opposing functions; generally, long isoforms promote cell survival while the short isoforms promote apoptosis. Previously, we demonstrated that upregulation of pro-survival BCL2 proteins in CML LSC contributes to chemotherapy resistance and LSC quiescence in protective hematopoietic niches. LSC found in different hematopoietic niches differ in their response to TKI treatment. Niche affects LSC cell cycle, either by maintaining quiescence or by promoting rapid cell cycling. Quiescent cells are a hurdle for traditional chemotherapy, which usually targets rapidly cycling cells, leaving the quiescent LSC untouched. We hypothesize that the inhibition of pro-survival BCL2 protein family members will sensitize LSC to dasatinib therapy and therefore prevent CML relapse. We tested a novel pan pro-survival BCL2 family protein inhibitor, sabutoclax, delivered by intravenous injection either alone or in combination with oral dasatinib in immunodeficient RAG2−/-gc−/- mice engrafted with BC CML patient samples. After treatment, LSC burden, self-renewal, and cell cycle status were quantified using FACS. Our results showed a reduction in the LSC burden in combination treated mice when compared to mice that received either drug alone. Mice treated with the combination regimen were found to have fewer quiescent human leukemic cells than their counterparts that received single agent treatments. Immunofluorescence staining confirmed the reduction of quiescent cells in the bone marrow after combination treatment when compared to single agent or vehicle treatments. We validated the molecular targets by using human specific splice isoform primers to perform RT-qPCR on FACS sorted LSC and showed a reduction in the BCL2 long to short isoform ratio in sabutoclax versus vehicle treated animals, indicating a skewing towards the pro-apoptotic splice variant. Together, these results indicate that the combination strategy with a pan pro-survival BCL2 family inhibitor and a tyrosine kinase inhibitor may be the foundation for a promising clinical strategy to effectively eliminate LSC and prevent cancer progression and relapse. 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 head0.020
GPT teacher head0.250
Teacher spread0.231 · 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".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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