↓ Skip to main content

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

Overview of attention for article published in Clinical Cancer Research, November 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Serum C-Telopeptide Collagen Crosslinks and Plasma Soluble VEGFR2 as Pharmacodynamic Biomarkers in a Trial of Sequentially Administered Sunitinib and Cilengitide
Published in
Clinical Cancer Research, November 2015
DOI 10.1158/1078-0432.ccr-15-0427
Pubmed ID
Authors

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, Michael L. Maitland

Abstract

Fit-for-purpose pharmacodynamic biomarkers could expedite development of combination anti-angiogenic 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]. Advanced solid tumor patients received sunitinib 50 mg daily for 14 days. For the next 14 days, patients were randomized to Arm A (cilengitide 2000 mg administered intravenously twice weekly (BIW)), or Arm B (no treatment). The primary endpoint was change in [sVEGFR2] between Day 14 and Day 28. A candidate pharmacodynamic biomarker of cilengitide inhibition of integrin αvβ3, serum c-telopeptide collagen crosslinks (CTx), was also measured. Of 21 patients, 14 (7/arm) received all treatments without interruption and had all blood samples available for analysis. The mean change and standard deviation of [sVEGFR2] for all sunitinib-treated patients was consistent with previous data. There was no significant difference in the mean change in [sVEGFR2] from Day 14 to Day 28 between the arms (Arm A: 2.8 ng/mL [95% CI 2.1, 3.6] vs. Arm B: 2.0 ng/mL [95% CI 0.72, 3.4] P = 0.22, two sample t test). Additional analyses suggested: 1) prior bevacizumab therapy to be associated with unusually low baseline [sVEGFR2], and 2) sunitinib causes measurable changes in CTx. Cilengitide 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 anti-angiogenic therapy trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 15%
Student > Ph. D. Student 3 15%
Student > Master 3 15%
Student > Bachelor 2 10%
Researcher 1 5%
Other 2 10%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 3 15%
Biochemistry, Genetics and Molecular Biology 2 10%
Nursing and Health Professions 2 10%
Chemistry 2 10%
Sports and Recreations 1 5%
Other 2 10%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2016.
All research outputs
#14,818,555
of 22,817,213 outputs
Outputs from Clinical Cancer Research
#10,197
of 12,595 outputs
Outputs of similar age
#155,863
of 282,550 outputs
Outputs of similar age from Clinical Cancer Research
#111
of 165 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,595 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,550 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.