Evidence map›Paper›PMID 28515943›Full record

SynthesisJournal for immunotherapy of cancer2017

Evaluation of dosing strategy for pembrolizumab for oncology indications.

Tomoko Freshwater, Anna Kondic, Malidi Ahamadi, Claire H Li, Rik de Greef, Dinesh de Alwis, Julie A Stone

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal for immunotherapy of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 3 pooled it
11.8field-weighted citation impact, top 1% 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

128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 247 citations in OpenAlex.

  1. Pooled it
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  10. From Reflection to Implementation: Tailored Clinical Development of a Pembrolizumab Biosimilar Candidate.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
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  15. Advances in Immunotherapy for Intrahepatic Cholangiocarcinoma.International journal of molecular sciences · 2026
    Review
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68 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

7 authors at 3 institutions in 2 countries.

Tomoko FreshwaterDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., 2000 Galloping Hill Road, Kenilworth, NJ USA.
Anna KondicDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., 2000 Galloping Hill Road, Kenilworth, NJ USA.
Malidi AhamadiDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., 2000 Galloping Hill Road, Kenilworth, NJ USA.
Claire H LiDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., 2000 Galloping Hill Road, Kenilworth, NJ USA.
Rik de GreefQuantitative Solutions, a Certara Company, Kloosterstraat 9, Oss, The Netherlands.
Dinesh de AlwisDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., 2000 Galloping Hill Road, Kenilworth, NJ USA.
Julie A StoneDepartment of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., 2000 Galloping Hill Road, Kenilworth, NJ USA.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USPharmacoGenetics (China) · CNCertara (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditionally, most monoclonal antibodies (mAbs) have been dosed based on body weight because of perceived contribution of body size in pharmacokinetic variability. The same approach was used in the initial pembrolizumab studies; however, following availability of PK data, the need for weight-based dosing for pembrolizumab was reassessed.

methodsA previously established population PK (popPK) model as well as exposure-response results from patients with advanced melanoma or non-small cell lung cancer (NSCLC) were used to evaluate the potential application of a fixed dosing regimen with the aim of maintaining pembrolizumab exposures within the range demonstrated to provide near maximal efficacy and acceptable safety. Individual PK exposures for the selected fixed dosing regimen from recently completed trials with head and neck cancer, NSCLC, microsatellite instability high (MSI-H) in colorectal cancer (CRC) and urothelial cancer were used to confirm acceptability. To determine whether fixed dosing would maintain exposures within the range of clinical experience, the individual AUC distributions with fixed dosing were compared with the range of exposures from the pembrolizumab doses that were evaluated in early studies (2 mg/kg Q3W, 10 mg/kg Q3W/Q2W).

resultsBody-weight dependence of clearance was characterized by a power relationship with an exponent of 0.578, a value consistent with fixed- and weight-based dosing providing similar control of PK variability. A fixed dose of 200 mg Q3W was investigated in trials based on predicted exposures maintained within the established exposure range in all patients. Mean (% CV, n) AUC

conclusionsDoses of 200 mg and 2 mg/kg provide similar exposure distributions with no advantage to either dosing approach with respect to controlling PK variability. These findings suggest that weight-based and fixed-dose regimens are appropriate for pembrolizumab.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBody WeightDose-Response Relationship, DrugHumansInfusions, IntravenousModels, BiologicalNeoplasmsAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalpembrolizumabClinical doseDosing strategyExposure-response analysisFixed doseFlat dosePembrolizumabPopulation pharmacokinetics analysis

Identifiers

PMID28515943
PMCPMC5433037
OpenAlexW2612703804

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.