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Record W1581048908 · doi:10.1080/15384047.2015.1026482

PRIMA-1Met induces apoptosis in Waldenström's Macroglobulinemia cells independent of p53

2015· article· en· W1581048908 on OpenAlexaff
Mona Sobhani, Jahangir Abdi, Saha N Manujendra, Christine Chen, Hong Chang

Bibliographic record

VenueCancer Biology & Therapy · 2015
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsUniversity Health NetworkToronto General HospitalUniversity of Toronto
Fundersnot available
KeywordsBortezomibApoptosisWaldenstrom macroglobulinemiaDownregulation and upregulationDexamethasoneCancer researchMacroglobulinemiaGene silencingGene knockdownCell cultureChemistryMedicineMultiple myelomaInternal medicineBiologyLymphoma

Abstract

fetched live from OpenAlex

PRIMA-1Met has shown promising preclinical activity in various cancer types. However, its effect on Waldenström's Macroglobulinemia (WM) cells as well as its exact mechanism of action is still elusive. In this study, we evaluated the anti- tumor activity of PRIMA-1Met alone and in combination with dexamethasone or bortezomib in WM cell lines and primary samples. Treatment of WM cells with PRIMA-1Met resulted in induction of apoptosis, inhibition of migration and suppression of colony formation. Upon PRIMA-1Met treatment, p73 was upregulated and Bcl-xL was down-regulated while no significant change in expression of p53 was observed. Furthermore, siRNA knockdown of p53 in WM cell line did not influence the PRIMA-1Met-induced apoptotic response whereas silencing of p73 inhibited latter response in WM cells. Importantly, combined treatment of BCWM-1 cells with PRIMA-1Met and dexamethasone or bortezomib induced synergistic reduction in cell survival. Our study provides insights into the mechanisms of anti-WM activity of PRIMA-1Met and supports further clinical evaluation of PRIMA-1Met as a potential novel therapeutic intervention in WM.

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 score0.001
Threshold uncertainty score0.005

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)0.0010.000

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 head0.066
GPT teacher head0.371
Teacher spread0.304 · 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

Citations27
Published2015
Admission routes1
Has abstractyes

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