Can we identify predictive biomarkers for antiangiogenic therapy of cancer using mathematical modeling?
about
Antiangiogenic cancer drug sunitinib exhibits unexpected proangiogenic effects on endothelial cells.Systems pharmacology approaches for optimization of antiangiogenic therapies: challenges and opportunities.Computational systems biology approaches to anti-angiogenic cancer therapeutics.Obesity and Cancer: An Angiogenic and Inflammatory Link.Compartment model predicts VEGF secretion and investigates the effects of VEGF trap in tumor-bearing mice.Quantitative fluorescent profiling of VEGFRs reveals tumor cell and endothelial cell heterogeneity in breast cancer xenografts.A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics.Quantitative insight in utilizing circulating angiogenic factors as biomarkers for antiangiogenic therapy: systems pharmacology approach.Obesity promotes resistance to anti-VEGF therapy in breast cancer by up-regulating IL-6 and potentially FGF-2.
P2860
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P2860
Can we identify predictive biomarkers for antiangiogenic therapy of cancer using mathematical modeling?
description
2013 nî lūn-bûn
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Can we identify predictive bio ...... r using mathematical modeling?
@en
Can we identify predictive bio ...... r using mathematical modeling?
@nl
type
label
Can we identify predictive bio ...... r using mathematical modeling?
@en
Can we identify predictive bio ...... r using mathematical modeling?
@nl
prefLabel
Can we identify predictive bio ...... r using mathematical modeling?
@en
Can we identify predictive bio ...... r using mathematical modeling?
@nl
P2093
P2860
P356
P1476
Can we identify predictive bio ...... r using mathematical modeling?
@en
P2093
Dan G Duda
Lance L Munn
Rakesh K Jain
P2860
P304
P356
10.1093/JNCI/DJT114
P407
P577
2013-05-13T00:00:00Z