Evidence map›Paper›PMID 34618345›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2021

Population Pharmacokinetic Analysis from First-in-Human Data for HDAC Inhibitor, REC-2282 (AR-42), in Patients with Solid Tumors and Hematologic Malignancies: A Case Study for Evaluating Flat vs. Body Size Normalized Dosing.

Sophia Liva, Min Chen, Amir Mortazavi, Alison Walker, Jiang Wang, Kristin Dittmar, Craig Hofmeister, Christopher C Coss, Mitch A Phelps

2 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 46% 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.

NCT01129193 phase1completednot on this map

Phase I Study of AR-42 in Relapsed Myeloma, Chronic Lymphocytic Leukemia, and Lymphoma

TypeinterventionalSponsorAmir MortazaviRan2010 to 2017Enrolled44ConditionsAdult Nasal Type Extranodal NK/T-cell Lymphoma, Anaplastic Large Cell Lymphoma, Angioimmunoblastic T-cell Lymphoma, Cutaneous B-cell Non-Hodgkin LymphomaArmsPharmacodynamic Studies, Fatigue Inventory, Pharmacogenomic studies, AR-42
NCT01798901 phase1completednot on this map

Phase I Study of AR-42 and Decitabine in Acute Myeloid Leukemia

TypeinterventionalSponsorAlison WalkerRan2013 to 2015Enrolled13ConditionsAdult Acute Myeloid Leukemia With 11q23 (MLL) Abnormalities, Adult Acute Myeloid Leukemia With Del(5q), Adult Acute Myeloid Leukemia With Inv(16)(p13, q22)ArmsHDAC inhibitor AR-42, decitabine, laboratory biomarker analysis, pharmacological study
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors at 3 institutions in 1 country.

Sophia Liva *Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Min Chen *Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Amir MortazaviDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA.
Alison WalkerComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Jiang WangComprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Kristin DittmarDepartment of Radiology, Wexner Medical Center, Columbus, OH, USA.
Craig HofmeisterDivision of Hematology, Department of Hematology and Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, USA.
Christopher C CossDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA. coss.16@osu.edu.ORCID http://orcid.org/0000-0002-8184-9190
Mitch A PhelpsDivision of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA. phelps.32@osu.edu.
The Ohio State University · USEmory University · USThe Ohio State University Wexner Medical Center · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
UM1 Supplement for Early Therapeutic Trials with Phase 2 IntentUM1CA186712 · NCI · OHIO STATE UNIVERSITY · PI SUSANNE M ARNOLD, WILLIAM E. CARSON · 2014 to 2026
$19.3M
Translational Training Grant in Experimental TherapeuticsK12CA133250 · NCI · OHIO STATE UNIVERSITY · PI WILLIAM E. CARSON, Rosa Lapalombella · 2008 to 2026
$15.0M
Overcoming IMiD resistance in MyelomaR01CA201382 · NCI · OHIO STATE UNIVERSITY · PI HOFMEISTER, CRAIG C., PHELPS, MITCH A · 2016 to 2020
$2.6M
NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA201382NCI NIH HHS UM1 CA186712
6 · The paper itself

Abstract

BACKGROUND AND

objectivesREC-2282 is a novel histone deacetylase inhibitor that has shown antitumor activity in in vitro and in vivo models of malignancy.  The aims of this study were to characterize the population pharmacokinetics of REC-2282 (AR-42) from the first-in-human (NCT01129193) and phase I acute myeloid leukemia trials (NCT01798901) and to evaluate potential sources of variability. Additionally, we sought to understand alternate body size descriptors as sources of inter-individual variability (IIV), which was significant for dose-normalized maximum observed concentration and area under the concentration-time curve (AUC).

methodsDatasets from two clinical trials were combined, and population pharmacokinetic analysis was performed using NONMEM and R softwares; patient demographics were tested as covariates.

resultsA successful population pharmacokinetic model was constructed. The pharmacokinetics of REC-2282 were best described by a two-compartment model with one transit compartment for absorption, first-order elimination and a proportional error model. Fat-free mass (FFM) was retained as a single covariate on clearance (CL), though it explained < 3% of the observed variability on CL. Tumor type and formulation were retained as covariates on lag time, and a majority of variability, attributed to absorption, remained unexplained. Computed tomography (CT)-derived lean body weight estimates were lower than estimated lean body weight and fat-free mass measures in most patients. Analysis of dose-normalized AUC vs. body size descriptors suggests flat dosing is most appropriate for REC-2282.

conclusionsFFM was identified as a significant covariate on CL; however, it explained only a very small portion of the IIV; major factors contributing significantly to REC-2282 pharmacokinetic variability remain unidentified.

Indexed as

AdultAgedBody SizeFemaleHematologic NeoplasmsHistone Deacetylase InhibitorsHumansMaleMiddle AgedHistone Deacetylase Inhibitors

Identifiers

PMID34618345
PMCPMC8599380
OpenAlexW3204913970

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.