Evidence map›Paper›PMID 35147740›Full record

ArticleCancer chemotherapy and pharmacology2022

Prediction of drug-drug interaction potential mediated by transporters between dasatinib and metformin, pravastatin, and rosuvastatin using physiologically based pharmacokinetic modeling.

Ming Chang, Sai Bathena, Lisa J Christopher, Hong Shen, Amit Roy

Open access · hybridAbstract read
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

5 authors at 1 institution in 2 countries.

Ming ChangBristol Myers Squibb, Princeton, NJ, 08540, USA. Ming.Chang@bms.com.ORCID 0000-0001-8296-5348
Sai BathenaBristol Myers Squibb, Princeton, NJ, 08540, USA.
Lisa J ChristopherBristol Myers Squibb, Princeton, NJ, 08540, USA.
Hong ShenBristol Myers Squibb, Princeton, NJ, 08540, USA.
Amit RoyBristol Myers Squibb, Princeton, NJ, 08540, USA.
Bristol-Myers Squibb (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecent in vitro studies demonstrated that dasatinib inhibits organic cation transporter 2 (OCT2), multidrug and toxin extrusion proteins (MATEs), and organic anion transporting polypeptide 1B1/1B3 (OATP1B1/1B3). We developed a physiologically based pharmacokinetic (PBPK) model to assess drug-drug interaction (DDI) potential between dasatinib and known substrates for these transporters in a virtual population.

methodsThe dasatinib PBPK model was constructed using Simcyp

resultsSimulations of metformin PK in the presence and absence of dasatinib, using inhibitor constant (K

conclusionsThis PBPK model accurately described the observed PK profiles of dasatinib. The validated PBPK model predicts low risk of clinically significant DDIs between dasatinib and metformin, pravastatin, or rosuvastatin.

Indexed as

MetforminPravastatinDasatinibDrug InteractionsHumansLiver-Specific Organic Anion Transporter 1Models, BiologicalRosuvastatin CalciumSolute Carrier Organic Anion Transporter Family Member 1B3DasatinibLiver-Specific Organic Anion Transporter 1MetforminPravastatinRosuvastatin CalciumSolute Carrier Organic Anion Transporter Family Member 1B3DasatinibDrug–drug interactionsPBPK modelSimcyp®

Identifiers

PMID35147740
PMCPMC8882081
OpenAlexW4211047162

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.