Evidence map›Paper›PMID 25125025›Full record

ReviewBritish journal of clinical pharmacology2015

Metabolism-related pharmacokinetic drug-drug interactions with tyrosine kinase inhibitors: current understanding, challenges and recommendations.

Yi Ling Teo, Han Kiat Ho, Alexandre Chan

Open access · hybridAbstract readReview
In one paragraph

Review in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 2% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 166 citations in OpenAlex.

  1. Pooled it
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  12. Impact of variation in CYP3A and CYP2C8 on tucatinib metabolic clearance in human liver microsomes.Drug metabolism and disposition: the biological fate of chemicals · 2025
    Article
  13. New Cannabinoids and Chlorin-Type Metabolites from the Flowers ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
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18 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Yi Ling TeoDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore.
Han Kiat Ho
Alexandre Chan
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-drug interactions (DDIs) occur when a patient's response to the drug is modified by administration or co-exposure to another drug. The main cytochrome P450 (CYP) enzyme, CYP3A4, is implicated in the metabolism of almost all of the tyrosine kinase inhibitors (TKIs). Therefore, there is a substantial potential for interaction between TKIs and other drugs that modulate the activity of this metabolic pathway. Cancer patients are susceptible to DDIs as they receive many medications, either for supportive care or for treatment of toxicity. Differences in DDI outcomes are generally negligible because of the wide therapeutic window of common drugs. However for anticancer agents, serious clinical consequences may occur from small changes in drug metabolism and pharmacokinetics. Therefore, the objective of this review is to highlight the current understanding of DDIs among TKIs, with a focus on metabolism, as well as to identify challenges in the prediction of DDIs and provide recommendations.

Indexed as

AnimalsAntineoplastic AgentsCytochrome P-450 CYP3ADrug InteractionsHumansNeoplasmsProtein Kinase InhibitorsProtein-Tyrosine KinasesAntineoplastic AgentsCYP3A4 protein, humanCytochrome P-450 CYP3AProtein Kinase InhibitorsProtein-Tyrosine Kinasescytochrome P450drug−drug interactionsdrug metabolismpharmacokineticstyrosine kinase inhibitors

Identifiers

PMID25125025
PMCPMC4309630
OpenAlexW1893477900

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.