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Combination therapy in cancer: effects of angiogenesis inhibitors on drug pharmacokinetics and pharmacodynamics

Overview of attention for article published in Cancer Communications, June 2016
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Title
Combination therapy in cancer: effects of angiogenesis inhibitors on drug pharmacokinetics and pharmacodynamics
Published in
Cancer Communications, June 2016
DOI 10.1186/s40880-016-0123-1
Pubmed ID
Authors

Ilaria Fuso Nerini, Marta Cesca, Francesca Bizzaro, Raffaella Giavazzi

Abstract

Validated preclinical studies have provided evidence that anti-vascular endothelial growth factor (VEGF) compounds enhance the activity of subsequent antitumor therapy, but the mechanism of this potentiation is far from clear. The most widespread explanation is enhanced delivery of therapeutics due to vascular remodeling, lower interstitial pressure, and increased blood flow. While the antiangiogenic effects on vascular morphology have been fairly consistent in both preclinical and clinical settings, the improvement of tumor vessel function is debated. This review focuses on the effect of anti-VEGF therapy on tumor microenvironment morphology and functions, and its therapeutic benefits when combined with other therapies. The uptake and spatial distribution of chemotherapeutic agents into the tumor after anti-VEGF are examined.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 27%
Student > Ph. D. Student 7 16%
Student > Doctoral Student 4 9%
Researcher 4 9%
Student > Bachelor 3 7%
Other 9 20%
Unknown 6 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 22%
Medicine and Dentistry 8 18%
Agricultural and Biological Sciences 8 18%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Nursing and Health Professions 2 4%
Other 3 7%
Unknown 9 20%