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Record W2334892627 · doi:10.1158/1538-7445.am2013-597

Abstract 597: The combination of valproic acid and fludarabine treatment induces a synergistic apoptotic response in chronic lymphocytic leukemia (CLL) patients involving the lysosomal protease cathepsin B.

2013· article· en· W2334892627 on OpenAlexaff
Ju‐Yoon Yoon, David Szwajcer, Ganchimeg Ishdorj, Pat Benjaminson, Rajat Kumar, James B. Johnston, Spencer B. Gibson

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
Fundersnot available
KeywordsFludarabineXIAPChronic lymphocytic leukemiaCathepsin BCancer researchCathepsinApoptosisVorinostatCaspaseChemistryPharmacologyHistone deacetylaseLeukemiaProgrammed cell deathMedicineImmunologyBiochemistryInternal medicineHistoneChemotherapyEnzyme

Abstract

fetched live from OpenAlex

Abstract Chronic Lymphocytic Leukaemia (CLL) is the most common hematological malignancy in the western world. Fludarabine, a nucleoside analogue, is commonly used in combinational treatments for CLL. However, patients commonly develop resistance to fludarabine based therapies. Valproic Acid (VPA), an inhibitor of histone deacetylases (HDACs), showed synergistic apoptotic responses when combined with fludarabine in human leukemic cells and primary CLL cells. The mechanism for this synergistic apoptotic response is unknown. We found that fludarabine and VPA treatment increased activates caspases-8, -9, -3, and caspase-2 and a decreased in expression of anti-apoptotic proteins Mcl-1 and XIAP. Treatment with fludarabine alone or in combination with VPA led to the loss of lysosome integrity suggesting a leakage of the lysosomal content into the cytosol in response to these drugs. Chemical inhibition of a specific lysosomal protease, cathepsin B, using CA074-Me was sufficient to stabilize Mcl-1 and XIAP while reducing caspase activation and apoptosis. Addition of purified cathepsin B to leukemic cell lysates led to the reduction in protein levels of Mcl-1, XIAP and pro-caspase-2, thus suggesting that the re-localization of cathepsin B into the cytosol is sufficient to degrade these proteins. VPA treatment increased cathepsin B levels in both leukemic cell lines and primary CLL cells. VPA also increased cathepsin B activity. In addition, six relapsed CLL patients who had received at least one prior therapy with fludarabine were treated with VPA alone or in combination with fludarabine. No responses were seen after 28 days using VPA alone but in five patients who continued on VPA with fludarabine, three patients showed reduced lymphocyte count after receiving at most five cycles of the combination therapy. When the CLL cells from VPA-treated CLL patients were examined, VPA administration induced increased levels of histone-3 acetylation and cathepsin B expression in vivo. Thus, VPA and fludarabine synergistic apoptotic response is mediated by cathepsin B activation leading to a decrease in anti-apoptotic proteins in CLL cells and likely contributes to the clinical response observed in relapsed, fludarabine-refractory CLL patients. Citation Format: Ju Yoon Yoon, David Szwajcer, Ganchimeg Ishdorj, Pat Benjaminson, Rajat Kumar, James B. Johnston, Spencer B. Gibson. The combination of valproic acid and fludarabine treatment induces a synergistic apoptotic response in chronic lymphocytic leukemia (CLL) patients involving the lysosomal protease cathepsin B. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 597. doi:10.1158/1538-7445.AM2013-597

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 score0.010

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)0.0030.001

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 head0.053
GPT teacher head0.356
Teacher spread0.303 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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