Evidence map›Paper›PMID 25326874›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2014

FLT3 and CDK4/6 inhibitors: signaling mechanisms and tumor burden in subcutaneous and orthotopic mouse models of acute myeloid leukemia.

Yaping Zhang, Cheng-Pang Hsu, Jian-Feng Lu, Mita Kuchimanchi, Yu-Nien Sun, Ji Ma, Guifen Xu, Yilong Zhang, Yang Xu, Margaret Weidner and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Targeted Protein Degradation: Clinical Advances in the Field of Oncology.International journal of molecular sciences · 2022
    Review
  5. Article
  6. CDK6 Inhibition: A Novel Approach in AML Management.International journal of molecular sciences · 2020
    Review
  7. Article
  8. 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

12 authors at 3 institutions in 1 country.

Yaping ZhangDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA, 90089, USA.
Cheng-Pang Hsu
Jian-Feng Lu
Mita Kuchimanchi
Yu-Nien Sun
Ji Ma
Guifen Xu
Yilong Zhang
Yang Xu
Margaret Weidner
Justin Huard
David Z D'Argenio
Amgen (United States) · USUniversity of Southern California · USSeattle University · US

Funding

TrainingP41EB001978 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHOO, MICHAEL C K · 2003 to 2017
$18.1M
NIBIB NIH HHS NIH/NIBIB P41-EB001978NIBIB NIH HHS P41 EB001978
6 · The paper itself

Abstract

FLT3(ITD) subtype acute myeloid leukemia (AML) has a poor prognosis with currently available therapies. A number of small molecule inhibitors of FLT3 and/or CDK4/6 are currently under development. A more complete and quantitative understanding of the mechanisms of action of FLT3 and CDK4/6 inhibitors may better inform the development of current and future compounds that act on one or both of the molecular targets, and thus may lead to improved treatments for AML. In this study, we investigated in both subcutaneous and orthotopic AML mouse models, the mechanisms of action of three FLT3 and/or CDK4/6 inhibitors: AMG925 (Amgen), sorafenib (Bayer and Onyx), and quizartinib (Ambit Biosciences). A composite model was developed to integrate the plasma pharmacokinetics of these three compounds on their respective molecular targets, the coupling between the target pathways, as well as the resulting effects on tumor burden reduction in the subcutaneous xenograft model. A sequential modeling approach was used, wherein model structures and estimated parameters from upstream processes (e.g. PK, cellular signaling) were fixed for modeling subsequent downstream processes (cellular signaling, tumor burden). Pooled data analysis was employed for the plasma PK and cellular signaling modeling, while population modeling was applied to the tumor burden modeling. The resulting model allows the decomposition of the relative contributions of FLT3(ITD) and CDK4/6 inhibition on downstream signaling and tumor burden. In addition, the action of AMG925 on cellular signaling and tumor burden was further studied in an orthotopic tumor mouse model more closely representing the physiologically relevant environment for AML.

Indexed as

AnimalsBenzothiazolesCell Line, TumorCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Disease Models, Animalfms-Like Tyrosine Kinase 3Leukemia, Myeloid, AcuteMiceNiacinamidePhenylurea CompoundsProtein Kinase InhibitorsSignal TransductionSorafenibTumor BurdenBenzothiazolesCdk4 protein, mouseCdk6 protein, mouseCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Flt3 protein, mousefms-Like Tyrosine Kinase 3NiacinamidePhenylurea CompoundsProtein Kinase InhibitorsquizartinibSorafenib

Identifiers

PMID25326874
PMCPMC4226810
OpenAlexW2086526267

What OpenQuestion holds

Textmetadata
LicenceTDM
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.