Evidence map›Paper›PMID 26199386›Full record

Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2015

Serum C-Telopeptide Collagen Crosslinks and Plasma Soluble VEGFR2 as Pharmacodynamic Biomarkers in a Trial of Sequentially Administered Sunitinib and Cilengitide.

Peter H O'Donnell, Sanja Karovic, Theodore G Karrison, Linda Janisch, Matthew R Levine, Pamela J Harris, Blase N Polite, Ezra E W Cohen, Gini F Fleming, Mark J Ratain and 1 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. The Duality of Collagens in Metastases of Solid Tumors.International journal of molecular sciences · 2025
    Review
  2. Article
  3. 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

11 authors at 3 institutions in 2 countries.

Peter H O'DonnellSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago, Chicago, Illinois. Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois.
Sanja KarovicSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
Theodore G KarrisonComprehensive Cancer Center, The University of Chicago, Chicago, Illinois. Department of Health Studies, The University of Chicago, Chicago, Illinois.
Linda JanischSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
Matthew R LevineSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois.
Pamela J HarrisCancer Therapy Evaluation Program of the National Cancer Institute, Bethesda, Maryland.
Blase N PoliteSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois.
Ezra E W CohenSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois.
Gini F FlemingSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago, Chicago, Illinois. Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois.
Mark J RatainSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago, Chicago, Illinois. Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois.
Michael L MaitlandSection of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, Illinois. Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chicago, Chicago, Illinois. Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois. mmaitlan@medicine.bsd.uchicago.edu.
University of Chicago · USChicago Department of Public Health · USNational Cancer Institute · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
PHASE I CLINICAL TRIALS OF ANTICANCER AGENTSU01CA069852 · NCI · UNIVERSITY OF CHICAGO · PI RATAIN, MARK J · 1995 to 2013
$9.4M
CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
Experimental Therapeutics: Clinical Trials Network with Phase I EmphasisUM1CA186705 · NCI · UNIVERSITY OF CHICAGO · PI MAITLAND, MICHAEL L., RATAIN, MARK J · 2014 to 2015
$987k
Translational Medicine and Cancer Therapy with Vasculature-Targeted AgentsK23CA124802 · NCI · UNIVERSITY OF CHICAGO · PI MAITLAND, MICHAEL L. · 2007 to 2011
$649k
NCATS NIH HHS UL1 TR000430NCI NIH HHS K23 CA124802NCI NIH HHS K23CA124802NCI NIH HHS P30 CA014599NCI NIH HHS P30 CA14599NCI NIH HHS U01 CA069852NCI NIH HHS U01CA69852NCI NIH HHS UM1 CA186705NIGMS NIH HHS T32 GM007019
6 · The paper itself

Abstract

purposeFit-for-purpose pharmacodynamic biomarkers could expedite development of combination antiangiogenic regimens. Plasma sVEGFR2 concentrations ([sVEGFR2]) mark sunitinib effects on the systemic vasculature. We hypothesized that cilengitide would impair microvasculature recovery during sunitinib withdrawal and could be detected through changes in [sVEGFR2]. EXPERIMENTAL

designAdvanced solid tumor patients received 50 mg sunitinib daily for 14 days. For the next 14 days, patients were randomized to arm A (cilengitide 2,000 mg administered intravenously twice weekly) or arm B (no treatment). The primary endpoint was change in [sVEGFR2] between days 14 and 28. A candidate pharmacodynamic biomarker of cilengitide inhibition of integrin αvβ3, serum c-telopeptide collagen crosslinks (CTx), was also measured.

resultsOf 21 patients, 14 (7 per arm) received all treatments without interruption and had all blood samples available for analysis. The mean change and SD of [sVEGFR2] for all sunitinib-treated patients was consistent with previous data. There was no significant difference in the mean change in [sVEGFR2] from days 14 to 28 between the arms [arm A: 2.8 ng/mL; 95% confidence interval (CI), 2.1-3.6 vs. arm B: 2.0 ng/mL; 95% CI, 0.72-3.4; P = 0.22, 2-sample t test]. Additional analyses suggested (i) prior bevacizumab therapy to be associated with unusually low baseline [sVEGFR2] and (ii) sunitinib causes measurable changes in CTx.

conclusionsCilengitide had no measurable effects on any circulating biomarkers. Sunitinib caused measurable declines in serum CTx. The properties of [sVEGFR2] and CTx observed in this study inform the design of future combination antiangiogenic therapy trials.

Indexed as

AdultAgedAged, 80 and overAngiogenesis InhibitorsBiomarkers, TumorCollagen Type IFemaleHumansIndolesMaleMiddle AgedNeoplasmsNeoplasm StagingNeovascularization, PathologicPeptidesPyrrolesAngiogenesis InhibitorsBiomarkers, TumorCilengitideCollagen Type Icollagen type I trimeric cross-linked peptideIndolesKDR protein, humanPeptidesPyrrolesSnake VenomsSunitinibVascular Endothelial Growth Factor Receptor-2

Identifiers

PMID26199386
PMCPMC4677671
OpenAlexW1494615962

What OpenQuestion holds

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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.