Evidence map›Paper›PMID 27896938›Full record

ArticleCPT: pharmacometrics & systems pharmacology2017

Population Pharmacokinetic/Pharmacodynamic Modeling of Tumor Size Dynamics in Pembrolizumab-Treated Advanced Melanoma.

M S Chatterjee, J Elassaiss-Schaap, A Lindauer, D C Turner, A Sostelly, T Freshwater, K Mayawala, M Ahamadi, J A Stone, R de Greef and 2 more

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
–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

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
  5. Comparative effectiveness of two alternative dosing strategies of pembrolizumab in metastatic non-small-cell lung cancer in a real-world setting.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  11. Stronger together: a cross-SIG perspective on improving drug development.Journal of pharmacokinetics and pharmacodynamics · 2025
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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

12 authors.

M S ChatterjeeMerck & Co., Inc, Kenilworth, New Jersey, USA.
J Elassaiss-SchaapMerck & Co., Inc, Kenilworth, New Jersey, USA.
A LindauerMerck & Co., Inc, Kenilworth, New Jersey, USA.
D C TurnerMerck & Co., Inc, Kenilworth, New Jersey, USA.
A SostellyMerck Serono, Darmstadt, Germany.
T FreshwaterMerck & Co., Inc, Kenilworth, New Jersey, USA.
K MayawalaMerck & Co., Inc, Kenilworth, New Jersey, USA.
M AhamadiMerck & Co., Inc, Kenilworth, New Jersey, USA.
J A StoneMerck & Co., Inc, Kenilworth, New Jersey, USA.
R de GreefMerck & Co., Inc, Kenilworth, New Jersey, USA.
A G KondicMerck & Co., Inc, Kenilworth, New Jersey, USA.
D P de AlwisMerck & Co., Inc, Kenilworth, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pembrolizumab is a potent immune-modulating antibody active in advanced melanoma, as demonstrated in the KEYNOTE-001, -002, and -006 studies. Longitudinal tumor size modeling was pursued to quantify exposure-response relationships for efficacy. A mixture model was first developed based on an initial dataset from KEYNOTE-001 to describe four patterns of tumor growth and shrinkage. For subsequent analyses, tumor size measurements were adequately described by a single consolidated model structure that captured continuous tumor size with a combination of growth and regression terms, as well as a fraction of tumor responsive to therapy. This revised model structure provided a framework to efficiently evaluate the impact of covariates and pembrolizumab exposure. Both models indicated that exposure to the drug was not a significant predictor of tumor size response, demonstrating that the dose range evaluated (2 and 10 mg/kg every 3 weeks) is likely near or at the plateau of maximal response.

Indexed as

Models, BiologicalAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsClinical Trials, Phase I as TopicDose-Response Relationship, DrugHumansInternationalityMelanomaMulticenter Studies as TopicRandomized Controlled Trials as TopicSkin NeoplasmsTreatment OutcomeTumor BurdenAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic Agentspembrolizumab

Identifiers

PMID27896938
PMCPMC5270297

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.