Evidence map›Paper›PMID 26820963›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2016

Pharmacokinetics and Pharmacodynamics in Breast Cancer Animal Models.

Wei Wang, Subhasree Nag, Ruiwen Zhang

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Wei WangDepartment of Pharmaceutical Sciences, School of Pharmacy, Texas Tech University Health Sciences Center, 1300 S. Coulter St., Amarillo, TX, 79106, USA.
Subhasree NagDepartment of Pharmaceutical Sciences, School of Pharmacy, Texas Tech University Health Sciences Center, 1300 S. Coulter St., Amarillo, TX, 79106, USA.
Ruiwen ZhangDepartment of Pharmaceutical Sciences, School of Pharmacy, Texas Tech University Health Sciences Center, 1300 S. Coulter St., Amarillo, TX, 79106, USA. Ruiwen.zhang@ttuhsc.edu.
Texas Tech University Health Sciences Center · USTexas Tech University · US

Funding

Novel Small Molecule MDM2 Inhibitors for Pancreatic Cancer TherapyR01CA186662 · NCI · UNIVERSITY OF HOUSTON · PI ZHANG, RUIWEN · 2014 to 2018
$2.4M
Dietary Chemopreventive Components/Oncogene Interaction and CancerR01CA121211 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZHANG, RUIWEN · 2007 to 2011
$1.4M
MDM2 AS A NEGATIVE REGULATOR OF P21 WAF1/CIP1R01CA112029 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ZHANG, RUIWEN · 2005 to 2009
$1.3M
NCI NIH HHS R01 CA112029NCI NIH HHS R01 CA121211NCI NIH HHS R01 CA186662
6 · The paper itself

Abstract

The study of pharmacokinetics (PK) and pharmacodynamics (PD) in cancer drug discovery and development is often paired and described in reciprocal terms, where PK is the analysis of the change in drug concentration with time and PD is the analysis of the biological effects of the drug at various concentrations over different time courses. While PK is defined by how a compound is absorbed, distributed, metabolized, and eliminated, PD refers to the measure of a compound's ability to interact with its intended target, leading to a biologic effect. Recent advances in anti-breast cancer drug discovery have resulted in several new drugs, but there is still a high attrition rate during clinical development. One reason for this failure is attributed to inappropriate correlation between the PK and PD parameters and subsequent extrapolation to human subjects. In this chapter, we describe the protocols of PK and PD studies in breast cancer models to assess the efficacy of an anti-breast cancer compound, noting the types and endpoints employed, and explain why it is important to link PK and PD in order to establish and evaluate dose/concentration-response relationships and subsequently describe and predict the effect-time courses for a given drug dose.

Indexed as

AnimalsAntineoplastic AgentsBiological TransportBreast NeoplasmsCell Line, TumorCytochrome P-450 Enzyme InhibitorsCytochrome P-450 Enzyme SystemDisease Models, AnimalDogsDose-Response Relationship, DrugDrug DiscoveryEnzyme InductionFecesFemaleHumansMiceAntineoplastic AgentsCytochrome P-450 Enzyme InhibitorsCytochrome P-450 Enzyme SystemAnimal modelsBreast cancerPharmacodynamicsPharmacokineticsPK/PD modeling

Identifiers

PMID26820963
PMCPMC6690186
OpenAlexW2444484693

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.