Evidence mapPaperPMID 41413930Full record

ReviewExpert review of clinical pharmacology2025

Drug-drug interactions in targeted cancer therapies: a focus on tyrosine kinase inhibitors.

Jack C Stromatt, Anika T Chowdhury, Kevin M Huang, Shuiying Hu, Alex Sparreboom, Sharyn D Baker, Eric D Eisenmann

Abstract readReview
In one paragraph

Review in Expert review of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Jack C StromattDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.ORCID 0000-0001-8864-4617
Anika T ChowdhuryDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Kevin M HuangDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Shuiying HuDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Alex SparreboomDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Sharyn D BakerDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Eric D EisenmannDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.

Funding

The Chesapeake-Ohio Pharmacokinetics Core for The ETCTNU24CA247648 · NCI · JOHNS HOPKINS UNIVERSITY · 2023 to 2025
$1.0M
Therapeutic Strategies to Mitigate Toxicities of Anthracycline-Based TherapeuticsR01HL168045 · OHIO STATE UNIVERSITY · 2025 to 2025
$746k
Targeting neuronal transport to ameliorate vincristine neurotoxicityR01CA272254 · OHIO STATE UNIVERSITY · 2025 to 2025
$652k
Damage-associated molecular patterns in chemotherapy toxicityR37CA299879 · OHIO STATE UNIVERSITY · 2025 to 2025
$601k
NCI NIH HHS R01 CA272254NCI NIH HHS R37 CA299879NCI NIH HHS U24 CA247648NHLBI NIH HHS R01 HL168045
6 · The paper itself

Abstract

introductionTyrosine kinase inhibitors (TKIs) have significantly improved outcomes for cancer patients. However, TKIs have a narrow therapeutic window, impact a high-risk population, and are frequently combined with additional medications, each of which increases the risk of drug-drug interactions (DDIs). As polypharmacy becomes more common, especially in older and higher-risk groups that are prescribed TKIs, there is an increased risk for harmful DDIs. AREAS COVERED: TKI-related DDIs can lead to toxicity or reduced efficacy, which worsens patient outcomes and quality of life. In this review, we utilized the Drug Interaction Database (DIDB), FDA labels, and PubMed TKI DDI/ADME queries to outline the mechanisms underlying both pharmacokinetic (PK) and pharmacodynamic (PD) DDIs with TKIs. Pharmacokinetic DDIs involve changes in the absorption, distribution, metabolism, and excretion (ADME) of a molecule (victim) caused by another drug (perpetrator). These DDIs may involve direct inhibition, post-translational modification, or transcriptional regulation. Pharmacodynamic DDIs involve overlapping mechanisms resulting in additive, synergistic, or antagonistic effects when two medications are combined. EXPERT OPINION: Understanding the mechanisms underlying DDIs facilitates a better grasp of TKI clinical pharmacology and will help in the development of strategies to optimize drug dosing and avoid DDIs.

Indexed as

Antineoplastic AgentsNeoplasmsProtein Kinase InhibitorsAnimalsDrug InteractionsHumansMolecular Targeted TherapyPolypharmacyProtein-Tyrosine KinasesQuality of LifeTyrosine Kinase InhibitorsAntineoplastic AgentsProtein Kinase InhibitorsProtein-Tyrosine KinasesTyrosine Kinase InhibitorsADMEDDIspharmacodynamicspharmacokineticsTKIs

Identifiers

PMID41413930
PMCPMC12834180

What Socratic holds

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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 Socratic graph.