Predictive modeling of neuroblastoma growth dynamics in xenograft model after bevacizumab anti-VEGF therapy
From MaRDI portal
Publication:1786918
DOI10.1007/S11538-018-0441-3zbMath1398.92117OpenAlexW2808537874WikidataQ89287630 ScholiaQ89287630MaRDI QIDQ1786918
Dorothy I. Wallace, Anita Kodali, Yixuan He
Publication date: 25 September 2018
Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11538-018-0441-3
Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Medical applications (general) (92C50)
Related Items (4)
Predicting the results of competition between two breast cancer lines grown in 3-D spheroid culture ⋮ A simulation of parental and glycolytic tumor phenotype competition predicts observed responses to pH changes and increased glycolysis after anti-VEGF therapy ⋮ A mathematical model for cancer treatment based on combination of anti-angiogenic and immune cell therapies ⋮ Local and global sensitivity analysis of spheroid and xenograft models of the acid-mediated development of tumor malignancy
Uses Software
Cites Work
- Multiscale modelling of tumour growth and therapy: the influence of vessel normalisation on chemotherapy
- Tumor growth \textit{in vivo} and as multicellular spheroids compared by mathematical models
- Theoretical investigation of the efficacy of antiangiogenic drugs combined to chemotherapy in xenografted mice
- A mathematical model for the effect of anti-angiogenic therapy in the treatment of cancer tumours by chemotherapy
- A model for spheroid versus monolayer response of SK-N-SH neuroblastoma cells to treatment with 15-deoxy-\(PGJ_2\)
- Computational many-particle physics. Papers presented at the summer school, Greifswald, Germany, September 2006.
- The Assessment of Tumour Response to Treatment
This page was built for publication: Predictive modeling of neuroblastoma growth dynamics in xenograft model after bevacizumab anti-VEGF therapy
