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Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill.
Wang, Zhihui; Kerketta, Romica; Chuang, Yao-Li; Dogra, Prashant; Butner, Joseph D; Brocato, Terisse A; Day, Armin; Xu, Rong; Shen, Haifa; Simbawa, Eman; Al-Fhaid, A S; Mahmoud, S R; Curley, Steven A; Ferrari, Mauro; Koay, Eugene J; Cristini, Vittorio.
Afiliação
  • Wang Z; Department of NanoMedicine and Biomedical Engineering, University of Texas Medical School at Houston, Houston, Texas, United States of America.
  • Kerketta R; Brown Foundation Institute of Molecular Medicine, University of Texas Medical School at Houston, Houston, Texas, United States of America.
  • Chuang YL; Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
  • Dogra P; Department of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America.
  • Butner JD; Department of Mathematics, California State University, Northridge, California, United States of America.
  • Brocato TA; Department of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America.
  • Day A; Department of Chemical and Biological Engineering and Center for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States of America.
  • Xu R; Department of Chemical and Biological Engineering and Center for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States of America.
  • Shen H; Department of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America.
  • Simbawa E; Department of Nanomedicine, Methodist Hospital Research Institute, Houston, Texas, United States of America.
  • Al-Fhaid AS; Department of Nanomedicine, Methodist Hospital Research Institute, Houston, Texas, United States of America.
  • Mahmoud SR; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Curley SA; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Ferrari M; Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Koay EJ; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, United States of America.
  • Cristini V; Department of Nanomedicine, Methodist Hospital Research Institute, Houston, Texas, United States of America.
PLoS Comput Biol ; 12(6): e1004969, 2016 06.
Article em En | MEDLINE | ID: mdl-27286441
ABSTRACT
AUTHOR

SUMMARY:

Cancer treatment efficacy can be significantly enhanced through the elution of drug from nano-carriers that can temporarily stay in the tumor vasculature. Here we present a relatively simple yet powerful mathematical model that accounts for both spatial and temporal heterogeneities of drug dosing to help explain, examine, and prove this concept. We find that the delivery of systemic chemotherapy through a certain form of nano-carriers would have enhanced tumor kill by a factor of 2 to 4 over the standard therapy that the patients actually received. We also find that targeting blood volume fraction (a parameter of the model) through vascular normalization can achieve more effective drug delivery and tumor kill. More importantly, this model only requires a limited number of parameters which can all be readily assessed from standard clinical diagnostic measurements (e.g., histopathology and CT). This addresses an important challenge in current translational research and justifies further development of the model towards clinical translation.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos / Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos / Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos