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Ibrutinib Sensitizes AML Cells to ROS Inducers Via a BTK-Independent Mechanism

2014· article· en· W2556182164 on OpenAlexaff
Lianne E. Rotin, Marcela Gronda, Neil MacLean, Feng-Hsu Lin, Jeffrey L. Wrana, Alessandro Datti, Dwayne L. Barber, Michael F. Moran, Mark D. Minden, Malik Slassi, Aaron D. Schimmer

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsHospital for Sick ChildrenMount Sinai HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsIbrutinibBruton's tyrosine kinaseCancer researchTyrosine kinaseCytotoxicityPharmacologyLeukemiaCell cultureImmunologyChronic lymphocytic leukemiaMedicineChemistryBiologySignal transductionIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Abstract Ibrutinib is a small-molecule Bruton’s tyrosine kinase (BTK) inhibitor yielding impressive clinical responses in B-cell malignancies, where BTK contributes to disease development and progression. We noted that BTK is expressed and constitutively active in acute myeloid leukemia (AML) cell lines and in a subset of AML patients. We therefore sought to determine BTK’s potential role in AML. Using BTK-pY223 expression on immunoblot as a marker of BTK activity, we demonstrated that ibrutinib doses as low as 1μM were sufficient to inhibit BTK activity in the AML cells TEX and OCI-AML2. Yet, these cell lines were insensitive to ibrutinib compared to the B-cell lymphoma Daudi cell line (IC50 10.4μM and 23.7μM versus 1.1μM, respectively). Although inactive as a single agent, we sought to identify drug combinations that sensitized AML cells to pharmacologically relevant concentrations of ibrutinib by conducting a combination chemical screen with our in-house known drug library in TEX and OCI-AML2 cells. According to excess-over-Bliss additivism criteria, we determined that in both cell lines, the poly(ADP-ribose) glycohydrolase inhibitor ethacridine lactate was the most synergistically cytotoxic, producing an 8-fold reduction in the IC50 of ibrutinib. Synergistic cytotoxicity was also observed in a subset of primary AML cells, but not normal hematopoietic cells. Mechanistically, the combination’s synergistic cytotoxicity resulted from excessive ROS production (>10-fold increase, versus a <2-fold increase with either drug alone in TEX and OCI-AML2), since α-tocopherol addition to combination-treated cells rescued cell viability from 24% to 85% and from 4% to 84% in TEX and OCI-AML2, respectively. Combining ibrutinib with other ROS-inducing agents such as parthenolide and the first-line AML therapy daunorubicin produced similar synergistic effects in AML cells,with α-tocopherol also rescuing cell viability. However, the synergistic effects were likely not related to inhibition of BTK, as knockdown of BTK with shRNA did not sensitize TEX cells to ethacridine or daunorubicin and thus did not recapitulate the effects of ibrutinib. We therefore conclude that the BTK inhibitor ibrutinib lacks single agent anti-AML activity, but synergizes with ROS-inducing agents including daunorubicin by inhibiting targets beyond BTK. Thus, clinical trials of ibrutinib in combination with standard chemotherapy could be warranted in AML. 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 score0.002
Threshold uncertainty score0.008

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)0.0020.001

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 head0.262
Teacher spread0.250 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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