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Record W2092113162 · doi:10.1158/1538-7445.am10-228

Abstract 228: Cucurbitacin-I (JSI-124) induces apoptosis in chronic lymphocytic leukemia (CLL) cells through inhibiting STAT3 activation and XIAP expression

2010· article· en· W2092113162 on OpenAlexaffabout
Ganchimeg Ishdorj

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsCanola Council of CanadaResearch Manitoba
Fundersnot available
KeywordsXIAPChronic lymphocytic leukemiaSTAT3ApoptosisCancer researchPhosphorylationInhibitor of apoptosisTyrosine phosphorylationProtein tyrosine phosphataseLeukemiaCaspaseProgrammed cell deathBiologyChemistryImmunologyCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Abstract AACR April-2010 Cucurbitacin-I (JSI-124) induces apoptosis in Chronic Lymphocytic Leukemia (CLL) cells through inhibiting STAT3 activation and XIAP expression. Ganchimeg Ishdorj, James B Johnston and Spencer B Gibson Manitoba Institute of Cell Biology, University of Manitoba, Winnipeg, Canada Chronic lymphocytic leukemia (CLL) is the most common adult leukemia in North America. Current therapies control the disease but eventually the disease recurs and becomes drug resistant. Phosphorylation of signal transducer and activator of transcription 3 (STAT3) plays a pivotal role in cell survival and induces proliferation, whereas deletion of STAT3 results in cell death. Constitutive phosphorylation of STAT3 on tyrosine 705 residues has been found in a number of solid tumors and hematologic malignancies. Unlike other tumors, STAT3 is constitutively phosphorylated (p) on serine 727 but not on tyrosine residues in CLL. These observations lead to investigation of the effect of STAT3/JAK2 inhibitor Cucurbitacin-I (JSI-124) in CLL cells. We proposed that the targeting STAT3 phosphorylation may induce apoptosis in CLL cells. We studied B-cell lines (BJAB, I-83, NALM-6) and primary B-cells from patients with CLL using immunoprecipitation and found that JSI-124 suppressed serine pSTAT3 and induced apoptosis of these cells as determined by FACS analysis and membrane permeability assay. Using western blotting analysis, caspase-8 activation was observed in these cells after JSI-124 treatment. Since the activation of caspases are inhibited by members of the inhibitor of apoptosis (IAP) and Bcl-2 protein families and STAT3 has been shown to regulate their expression, we investigated anti-apoptotic members of these families. JSI-124 treatment led to downregulation of IAP protein XIAP, while Bcl-xL and Mcl-1 levels remained unchanged. In addition, JSI-124 selectively induced activation of JNK signaling pathways in CLL cells. Taken together, our results indicate that JSI-124 causes apoptosis through alterations in signal transduction pathways and could be a useful treatment in CLL. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 228.

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 integrity0.0000.000
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 head0.049
GPT teacher head0.372
Teacher spread0.323 · 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
Published2010
Admission routes2
Has abstractyes

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