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Abstract A135: Evaluation of CPX-351 (cytarabine:daunorubicin) liposome injection efficacy in acute lymphoblastic leukemia (ALL) xenograft models

2009· article· en· W2034981234 on OpenAlexaff
Lawrence D. Mayer, Hernán Carol, Christopher L. Morton, Troy O. Harasym, Malcolm A. Smith, Richard B. Lock

Bibliographic record

VenueMolecular Cancer Therapeutics · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsCelator Pharmaceuticals (Canada)
Fundersnot available
KeywordsMedicineCytarabineDaunorubicinLeukemiaPharmacologyBone marrowImmunology

Abstract

fetched live from OpenAlex

Abstract CPX-351 is a liposome formulation of cytarabine (Cyt) and daunorubicin (Daun) in which the ratio of the two drugs (5:1, mol:mol) maximizes synergy. The marked increase in efficacy observed for CPX-351 vs the free drug cocktail is associated with passive targeting of the synergistic drug ratio to bone marrow where drug-loaded liposomes are preferentially taken up by leukemia cells. Clinical testing of CPX-351 to date has focused on acute myelogenous leukemia (AML), however significant antileukemic activity may also be achievable against ALL. Investigations were undertaken by the Pediatric Preclinical Testing Program (PPTP) of the NCI to provide evidence for CPX-351 treatment-related antileukemic activity against representative pediatric ALL xenograft models. The maximum tolerated dose (MTD) of CPX-351 was established by i.v. dose escalation in non-engrafted NOD/SCID mice with a q2dx3 schedule. Leukemia engraftment was established by i.v. inoculation of either ALL-4 (B-precursor) or ALL-8 (T-lineage) cells into NOD/SCID mice. Drug or vehicle buffer (control) treatment was initiated when the %huCD45+ cells in the peripheral blood was greater than 1% for each cohort. An experimental end-point for each mouse was attained when either the %huCD45+ was greater-than or equal to 25% (an event) or if the mouse reached day 42 without an event. Two measures of antitumor activity were used: 1) an objective response measure (ORM) modeled after the clinical setting; and 2) a time to event measure based on the median event-free survival (EFS) of treated and control animals for each xenograft. Non-engrafted NOD/SCID mice exhibited increased sensitivity to CPX-351 with a corresponding MTD that was roughly 50% of that observed in immune competent mice. Treatment with CPX-351, at a Cyt:Daun dose of 5 units/kg (5 mg/kg Cyt + 2.2 mg/kg Daun), was very effective and yielded objective responses in all evaluable leukemia-bearing mice in both leukemia models. In the ALL-4 model, treatment with CPX-351 induced a median event-free survival (EFS) of 31.0 days (6.8 days for control), which corresponded to a leukemia growth delay (LGD) of 24.2 days (p<0.0001 by logrank test) and resulted in a median ORM score of CR (4CR/3PR). Similar results were obtained in the ALL-8 leukemia model with a median EFS of 32.8 days (10.8 days for controls) and a LGD of 22.0 days (p<0.0001 by logrank test) which resulted in a median ORM score of PR (4PR/3CR). Comparison of drug concentrations observed in the plasma of mice and AML patients after CPX-351 treatment revealed comparable drug exposure in these two settings. CPX-351 exhibits potent antileukemic activity against both a B-cell and T-cell ALL xenograft model at doses that provide clinically relevant plasma drug exposure. Thus, CPX-351 may warrant consideration as a treatment candidate for ALL. (Supported by NCI NO1CM42216) Citation Information: Mol Cancer Ther 2009;8(12 Suppl):A135.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.034
GPT teacher head0.312
Teacher spread0.278 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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