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Record W1982193331 · doi:10.1158/1538-7445.am2011-2015

Abstract 2015: Effect of valproic acid on fludarabine activity in chronic lymphocytic leukemia patients

2011· article· en· W1982193331 on OpenAlexaffabout
Ju‐Yoon Yoon, David Szwajcer, Ganchimeg Ishdorj, Pat Benjaminson, James B. Johnston, Spencer B. Gibson

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsResearch ManitobaCancerCare ManitobaUniversity of Manitoba
Fundersnot available
KeywordsFludarabineChronic lymphocytic leukemiaMedicinePharmacologyApoptosisImmunologyLeukemiaCancer researchInternal medicineChemotherapyChemistryCyclophosphamideBiochemistry

Abstract

fetched live from OpenAlex

Abstract Valproic acid (VPA) is a first-generation anti-epileptic drug that has been shown to inhibit proliferation and induce apoptosis in various hematological malignancies, including multiple myeloma and chronic lymphocytic leukemia (CLL). We show here that the mechanism of VPA-induced apoptosis in CLL is associated with activation of the TNF-related apoptosis-inducing ligand (TRAIL) apoptotic pathway in vitro and in vivo. Treatment of leukemic cell lines or primary CLL cells with VPA increased the level of TRAIL receptor 1 (TRAIL-R1), but not TRAIL-R2, and upregulated the TRAIL pathway in vitro, resulting in increased casepase-8 cleavage. Treatment with VPA also induced formation of reactive oxygen species (ROS), and the combined cytotoxicity of VPA and fludarabine was dampened upon co-treatment with a ROS scavenger, N-acetylcysteine. Having shown the effects of VPA in vitro, a phase II clinical trial was initiated at CancerCare Manitoba to determine the activity of VPA in CLL, either when used alone or in combination with fludarabine. Five patients who had received at least one prior therapy with fludarabine have to date been examined. Three out of 5 patients were fludarabine-resistant, as defined as no response to fludarabine or relapse <6 months after completion of treatment with fludarabine. No responses were seen after 28 days using VPA alone. However, in four patients who continued on VPA with fludarabine, 3 patients showed a >50% fall in lymphocyte/lymph node size after receiving 5 cycles of the combination. Peripheral blood samples were obtained prior to each treatment cycle, and mononuclear cells were isolated for analysis by immunoblotting and immunocytochemistry. Levels of both histone 3-acetyl and histone 4-acetyl initially increased and then fluctuated during the course of treatment. TRAIL-R1 levels increased during the course of therapy, while no significant changes in TRAIL-R2 levels were observed. Expression of mRNA levels of genes involved in apoptosis was examined in one patient before and 28 days following VPA. There was a global up-regulation of both pro- and anti-apoptotic genes (as categorized by their gene ontology) which likely explains the effect of VPA on fludarabine sensitivity in CLL. In summary, VPA induces hyper-acetylation of histones in CLL and activates the TRAIL apoptotic pathway. While VPA is ineffective as a single agent in CLL, it can sensitize CLL cells to fludarabine and could be used as an adjuvant in fludarabine-based treatment regimens. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2015. doi:10.1158/1538-7445.AM2011-2015

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.070
GPT teacher head0.405
Teacher spread0.334 · 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 designObservational
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

Citations0
Published2011
Admission routes2
Has abstractyes

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