Evidence map›Paper›PMID 32860732›Full record

ArticleCPT: pharmacometrics & systems pharmacology2020

Multiscale Model Identifies Improved Schedule for Treatment of Acute Myeloid Leukemia In Vitro With the Mcl-1 Inhibitor AZD5991.

Ardeshir Goliaei, Haley A Woods, Adriana E Tron, Matthew A Belmonte, J Paul Secrist, Douglas Ferguson, Lisa Drew, Adrian J Fretland, Bree B Aldridge, Francis D Gibbons

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Ardeshir GoliaeiDrug Metabolism and Pharmacokinetics (DMPK), Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Haley A WoodsBioscience, Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Adriana E TronBioscience, Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Matthew A BelmonteBioscience, Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
J Paul SecristBioscience, Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Douglas FergusonDrug Metabolism and Pharmacokinetics (DMPK), Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Lisa DrewBioscience, Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Adrian J FretlandDrug Metabolism and Pharmacokinetics (DMPK), Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
Bree B AldridgeDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA.
Francis D GibbonsDrug Metabolism and Pharmacokinetics (DMPK), Oncology R&D, AstraZeneca, Waltham, Massachusetts, USA.
AstraZeneca (United States) · USTufts University · US

Funding

Quantitative Design of Multi-drug Regiments for TuberculosisDP2LM011952 · NLM · TUFTS UNIVERSITY BOSTON · PI ALDRIDGE, BREE BEARDSLEY · 2013 to 2018
$2.9M
NIH HHS 1DP2LM011952NLM NIH HHS DP2 LM011952
6 · The paper itself

Abstract

Anticancer efficacy is driven not only by dose but also by frequency and duration of treatment. We describe a multiscale model combining cell cycle, cellular heterogeneity of B-cell lymphoma 2 family proteins, and pharmacology of AZD5991, a potent small-molecule inhibitor of myeloid cell leukemia 1 (Mcl-1). The model was calibrated using in vitro viability data for the MV-4-11 acute myeloid leukemia cell line under continuous incubation for 72 hours at concentrations of 0.03-30 μM. Using a virtual screen, we identified two schedules as having significantly different predicted efficacy and showed experimentally that a "short" schedule (treating cells for 6 of 24 hours) is significantly better able to maintain the rate of cell kill during treatment than a "long" schedule (18 of 24 hours). This work suggests that resistance can be driven by heterogeneity in protein expression of Mcl-1 alone without requiring mutation or resistant subclones and demonstrates the utility of mathematical models in efficiently identifying regimens for experimental exploration.

Indexed as

AnimalsAntineoplastic AgentsApoptosisCell Line, TumorDrug Administration ScheduleDrug Resistance, NeoplasmHumansLeukemia, Myeloid, AcuteMacrocyclic CompoundsMiceModels, AnimalMyeloid Cell Leukemia Sequence 1 ProteinXenograft Model Antitumor AssaysAntineoplastic AgentsAZD5991Macrocyclic CompoundsMCL1 protein, humanMyeloid Cell Leukemia Sequence 1 Protein

Identifiers

PMID32860732
PMCPMC7577016
OpenAlexW3082863124

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.