Evidence map›Paper›PMID 41793262›Full record

ArticleClinical pharmacology and therapeutics2026

Pharmacokinetic Drug-Drug Interaction Potential of Oral Anticancer Drugs.

Fatimah Alhurayri, Islam R Younis, Shadia I Jalal, Theodore F Logan, Rohan Maniar, Steven M Bray, Sara K Quinney, Zeruesenay Desta, Todd C Skaar, James E Tisdale and 1 more

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. 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
–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

1 citing paper in PubMed.

  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

11 authors.

Fatimah AlhurayriDepartment of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, Indiana, USA.
Islam R YounisDepartment of Quantitative Pharmacology & Pharmacometrics, Merck & Co., Rahway, New Jersey, USA.ORCID 0000-0001-9000-0431
Shadia I JalalDivision of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Theodore F LoganDivision of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Rohan ManiarDivision of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Steven M BrayFountain Life, Inc., Indianapolis, Indiana, USA.
Sara K QuinneyDepartment of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, Indiana, USA.ORCID 0000-0002-6554-0695
Zeruesenay DestaDepartment of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, Indiana, USA.ORCID 0009-0001-1513-1295
Todd C SkaarDepartment of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, Indiana, USA.ORCID 0000-0002-3849-374X
James E TisdaleDepartment of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, Indiana, USA.ORCID 0000-0002-2117-9463
Tyler ShuggDepartment of Pharmacy Practice, Purdue University College of Pharmacy, West Lafayette, Indiana, USA.ORCID 0000-0002-5784-3565

Funding

Genomic and drug-drug interaction mechanisms of interindividual variability in drug dispositionR35GM145383 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Zeruesenay Desta · 2022 to 2026
$2.0M
Investigation of the Immune-Mediated Drug-Drug Interaction Potential of Immune Checkpoint InhibitorsK23GM147805 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI Tyler A Shugg · 2022 to 2026
$836k
NIGMS NIH HHS K23 GM147805NIGMS NIH HHS R35 GM145383
6 · The paper itself

Abstract

Drug-drug interaction (DDI) management is critical for safe and effective use of oral anticancer drugs (OADs). Our study objectives were to (i) compile clinically relevant pharmacokinetic (PK) DDI mechanisms for OADs and (ii) assess the prevalence of PK potential DDIs (PDDIs) in patients with advanced solid cancers. OADs approved through January 2023 were assigned DDI mechanisms based on studies obtained from drug labels and primary literature showing ≥ 2-fold exposure change or significant adverse health outcomes during co-administration with interacting drugs. Electronic health records of 3,697 solid cancer patients were reviewed retrospectively to detect PDDIs, defined as overlapping prescriptions of OADs with relevant interacting drugs. FDA labels were reviewed for 99 OADs, and 239 studies were extracted from the primary literature, yielding a total of 748 drug-drug pairs for analysis. Eighty-five OADs (85.9%) had ≥ 1 DDI mechanism. The most common DDI mechanisms were victims with metabolic inducers (71.7%), CYP3A substrates (55.6%), CYP3A perpetrators (29.3%), and victims with acid reducers (17.2%). Our primary literature search detected clinically relevant DDI mechanisms without actionable recommendations in the drug labels for 14 drugs. Among patients prescribed ≥ 1 OADs (46.9%), 17.4% had ≥ 1 PDDI, most commonly involving OADs acting as CYP3A (58.9%) or CYP2D6 (32.5%) perpetrators. Most OADs (~86%) had ≥ 1 DDI mechanism, and ~17% of solid tumor board patients had a clinically relevant PDDI.

Indexed as

Antineoplastic AgentsNeoplasmsAdministration, OralCytochrome P-450 CYP3ADrug InteractionsFemaleHumansMaleRetrospective StudiesAntineoplastic AgentsCytochrome P-450 CYP3A

Identifiers

PMID41793262
PMCPMC13156348

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Registered trials

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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.