Evidence map›Paper›PMID 39322416›Full record

ReviewThe Journal of pharmacology and experimental therapeutics2024

Understanding Cisplatin Pharmacokinetics and Toxicodynamics to Predict and Prevent Kidney Injury.

Lauren E Thompson, Melanie S Joy

Abstract readReview
In one paragraph

Review in The Journal of pharmacology and experimental therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Analytical choices drive toxicogenomic potency estimates: a systematic evaluation of transcriptomic points of departure.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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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

2 authors.

Lauren E ThompsonDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences (L.E.T., M.S.J.), University of Colorado Cancer Center (M.S.J.), and Division of Renal Diseases and Hypertension (M.S.J.), University of Colorado Anschutz Medical Campus, Aurora, Colorado laurenethompsonphd@gmail.com.ORCID 0000-0002-0297-199X
Melanie S JoyDepartment of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences (L.E.T., M.S.J.), University of Colorado Cancer Center (M.S.J.), and Division of Renal Diseases and Hypertension (M.S.J.), University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0002-3887-004X

Funding

Colorado Clinical and Translational Sciences Institute (CCTSI)UM1TR004399 · NCATS · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS, RONALD J. SOKOL · 2023 to 2026
$30.7M
NRSA Training CoreTL1TR002533 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CICUTTO, LISA · 2018 to 2022
$3.0M
Drug Disposition and NephrotoxicityR01GM123330 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI ALEKSUNES, LAUREN M, JOY, MELANIE S · 2018 to 2021
$2.1M
Training in Molecular and Systems ToxicologyT32ES029074 · NIEHS · UNIVERSITY OF COLORADO DENVER · PI Jared Michael Brown · 2019 to 2026
$1.1M
NCATS NIH HHS TL1 TR002533NCATS NIH HHS UM1 TR004399NIEHS NIH HHS T32 ES029074NIGMS NIH HHS R01 GM123330
6 · The paper itself

Abstract

Cisplatin is a common platinum-based chemotherapeutic that induces acute kidney injury (AKI) in about 30% of patients. Pharmacokinetic/toxicodynamic (PKTD) models of cisplatin-induced AKI have been used to understand risk factors and evaluate potential mitigation strategies. While both traditional clinical biomarkers of kidney function [e.g., serum creatinine (SCr), blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), and creatinine clearance (CrCl)] and newer subclinical biomarkers of kidney injury [e.g., urinary kidney injury molecule 1 (KIM-1), beta-2 microglobulin (B2M), neutrophil gelatinase-associated lipocalin (NGAL), calbindin, etc.] can be used to detect cisplatin-induced AKI, published PKTD models are limited to using only traditional clinical biomarkers. Previously identified risk factors for cisplatin nephrotoxicity have included dose, age, sex, race, body surface area, genetics, concomitant medications, and comorbid conditions. However, the relationships between concentrations and the pharmacokinetics (PK) of platinum and biomarkers of kidney injury have not been well elucidated. This review discusses the evaluation of cisplatin-induced nephrotoxicity in clinical studies, mouse models, and in vitro models, and examines the available human PK and toxicodynamic (TD) data. Improved understanding of the relationships between platinum PK and TD, in the presence of identified risk factors, will enable the prediction and prevention of cisplatin kidney injury. SIGNIFICANCE STATEMENT: As cisplatin treatment continues to cause AKI in a third of patients, it is critical to improve the understanding of the relationships between platinum PK and nephrotoxicity as assessed by traditional clinical and contemporary subclinical TD markers of kidney injury. Prediction and prevention of cisplatin-induced nephrotoxicity will be advanced by the evolving development of PKTD models that incorporate kidney injury biomarkers with enhanced sensitivity and include covariates that can impact risk of developing cisplatin-induced AKI.

Indexed as

Acute Kidney InjuryAntineoplastic AgentsCisplatinAnimalsBiomarkersHumansMiceAntineoplastic AgentsBiomarkersCisplatin

Identifiers

PMID39322416
PMCPMC11585315

What OpenQuestion holds

Textmetadata
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.