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Record W2507008765 · doi:10.1158/1538-7445.am2016-281

Abstract 281: Bendamustine has the biochemical properties of an alkylating agent that synergizes with nucleoside analogues in chronic lymphocytic leukemia

2016· article· en· W2507008765 on OpenAlexaff
Sara E. Kost, Eric D.J. Bouchard, Élise LaBossière, Xibiao Ye, Michelle L. Queau, William S. Liang, Versha Banerji, Spencer B. Gibson, Sachin Katyal, James B. Johnston

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsGeorge & Fay Yee Centre for Healthcare InnovationUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsChronic lymphocytic leukemiaPentostatinNucleoside analogueBendamustineChlorambucilFludarabineCladribineMedicineCancer researchProgrammed cell deathLeukemiaNucleosidePharmacologyApoptosisImmunologyBiologyChemotherapyLymphomaBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Bendamustine (BEN) is a promising new treatment for chronic lymphocytic leukemia (CLL) and may function as an alkylating agent (eg, chlorambucil, CLB) while sharing structural similarities to a nucleoside analogue (eg, fludarabine, FLU). Enhanced cell death has been observed with the combination of BEN and FLU in primary CLL cells in vitro, but both BEN and FLU are marrow-toxic, potentially limiting the clinical value of this combination. While the nucleoside analogue pentostatin (PEN) is active in CLL and less marrow-toxic than FLU, it is unknown whether it produces synergy when combined with BEN. PEN acts by inhibiting adenosine deaminase, resulting in the accumulation of deoxyadenosine (dADO), which is toxic to CLL cells. In the present study, we evaluated the activity of BEN against CLL cells in vitro, as compared to CLB, FLU or dADO/PEN, alone and in combination. Cell death was assessed using annexin V/7-ADD staining and the MTT assay. We observed that BEN, CLB, FLU, or dADO/PEN induced apoptosis, the extent of which was time- and concentration-dependent. In general, cross-resistance was observed to all agents, with previously treated patients or those with a del 17p being most resistant. Enhanced cell killing was seen when combining BEN or CLB with FLU or dADO/PEN, with the extent of synergy being similar for FLU or dADO/PEN. To correlate mechanism of cell death as a result of treatment with these agents, we analyzed the expression of death receptors (DR4 and DR5) and mitochondrial stress (DICO6 and DHE). An increase in DR5 (but not DR4) surface expression, loss of mitochondrial membrane potential, and increased reactive oxygen species production was observed following treatment indicating that all agents induced death through the death receptor and mitochondrial apoptotic pathways. However, using γH2AX and the alkaline comet assay, FLU produced a greater number of DNA double-strand breaks (DSB) than BEN or CLB. Thus, all these agents induce apoptosis through the mitochondrial and death receptor pathways with cross-resistance being observed in most cases. BEN is more similar to CLB in producing fewer DNA DSBs than FLU and demonstrating synergy when combined with FLU or dADO/PEN. The latter observation suggests that combining BEN with PEN might be useful clinically. Citation Format: Sara EF Kost, Eric DJ Bouchard, Élise LaBossière, Xibiao Ye, Michelle L. Queau, William S. Liang, Versha Banerji, Spencer B. Gibson, Sachin Katyal, James B. Johnston. Bendamustine has the biochemical properties of an alkylating agent that synergizes with nucleoside analogues in chronic lymphocytic leukemia. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 281.

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 score0.003
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.143
GPT teacher head0.370
Teacher spread0.227 · 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
Published2016
Admission routes1
Has abstractyes

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