Quantitative model for efficient temporal targeting of tumor cells and neovasculature

DOI10.1155/2011/790721zbMATH Open1207.92023DBLPjournals/cmmm/KohandelHKSS11arXiv1012.4403OpenAlexW3100040499WikidataQ42704405 ScholiaQ42704405MaRDI QIDQ629159

Juan-Miguel Gracia

Publication date: 8 March 2011

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Abstract: The combination of cytotoxic therapies and anti-angiogenic agents is emerging as a most promising strategy in the treatment of malignant tumors. However, the timing and sequencing of these treatments seem to play essential roles in achieving a synergic outcome. Using a mathematical modeling approach that is grounded on available experimental data, we investigate the spatial and temporal targeting of tumor cells and neovasculature with a nanoscale delivery system. Our model suggests that the experimental success of the nanoscale delivery system depends crucially on the trapping of chemotherapeutic agents within the tumor tissue. The numerical results also indicate that substantial further improvements in the efficiency of the nanoscale delivery system can be achieved through an adjustment of the temporal targeting mechanism.

Full work available at URL: https://arxiv.org/abs/1012.4403

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Medical applications (general) (92C50)

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