Evidence map›Paper›PMID 28620891›Full record

Trial reportClinical pharmacokinetics2018

Population Pharmacokinetic Modeling of Olaratumab, an Anti-PDGFRα Human Monoclonal Antibody, in Patients with Advanced and/or Metastatic Cancer.

Gary Mo, John R Baldwin, Debra Luffer-Atlas, Robert L Ilaria, Ilaria Conti, Michael Heathman, Damien M Cronier

Open access · hybridAbstract readClinical Trial, Phase IIComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Clinical pharmacokinetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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  3. Article
  4. Roles of PDGF/PDGFR signaling in various organs.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Review
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  10. Review
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  16. Review
  17. Olaratumab: A New Strategy in the Treatment of Advanced Soft-Tissue Sarcoma.Journal of the advanced practitioner in oncology · 2018
    Review
  18. Review
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 1 institution in 1 country.

Gary MoEli Lilly and Company, Indianapolis, IN, USA. gary.mo@lilly.com.ORCID 0000-0001-7805-5077
John R BaldwinEli Lilly and Company, Indianapolis, IN, USA.
Debra Luffer-AtlasEli Lilly and Company, Indianapolis, IN, USA.
Robert L IlariaEli Lilly and Company, Indianapolis, IN, USA.
Ilaria ContiEli Lilly and Company, Indianapolis, IN, USA.
Michael HeathmanEli Lilly and Company, Indianapolis, IN, USA.
Damien M CronierEli Lilly and Company, Indianapolis, IN, USA.
Eli Lilly (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesOlaratumab is a recombinant human monoclonal antibody that binds to platelet-derived growth factor receptor-α (PDGFRα). In a randomized phase II study, olaratumab plus doxorubicin met its predefined primary endpoint for progression-free survival and achieved a highly significant improvement in overall survival versus doxorubicin alone in patients with advanced or metastatic soft tissue sarcoma (STS). In this study, we characterize the pharmacokinetics (PKs) of olaratumab in a cancer patient population.

methodsOlaratumab was tested at 15 or 20 mg/kg in four phase II studies (in patients with nonsmall cell lung cancer, glioblastoma multiforme, STS, and gastrointestinal stromal tumors) as a single agent or in combination with chemotherapy. PK sampling was performed to measure olaratumab serum levels. PK data were analyzed by nonlinear mixed-effect modeling techniques using NONMEM

resultsThe PKs of olaratumab were best described by a two-compartment PK model with linear clearance (CL). Patient body weight was found to have a significant effect on both CL and central volume of distribution (V

conclusionThe PKs of olaratumab were best described by a model with linear disposition. Patient body weight and tumor size were found to be significant covariates. The PKs of olaratumab were not affected by immunogenicity or chemotherapeutic agents.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overAntibodies, MonoclonalAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBody WeightDisease-Free SurvivalDose-Response Relationship, DrugDoxorubicinFemaleHumansMaleMiddle AgedNeoplasm MetastasisAntibodies, MonoclonalAntineoplastic AgentsDoxorubicinolaratumabReceptor, Platelet-Derived Growth Factor alpha

Identifiers

PMID28620891
PMCPMC5814542
OpenAlexW2625512280

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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.