Mathematical modeling of herpes simplex virus distribution in solid tumors: implications for cancer gene therapy.
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A dynamical systems model for combinatorial cancer therapy enhances oncolytic adenovirus efficacy by MEK-inhibitionFrontiers in cancer nanomedicine: directing mass transport through biological barriersComplex spatial dynamics of oncolytic viruses in vitro: mathematical and experimental approaches.Kinetic and dynamic computational model-based characterization of new proteins in mice: application to interferon alpha linked to apolipoprotein A-I.Delivering nanomedicine to solid tumors.Mathematical model for radial expansion and conflation of intratumoral infectious centers predicts curative oncolytic virotherapy parameters.Choindroitinase ABC I-mediated enhancement of oncolytic virus spread and anti tumor efficacy: a mathematical model.ONCOLYTIC HERPES SIMPLEX VIRUS 1 (HSV-1) VECTORS: INCREASING TREATMENT EFFICACY AND RANGE THROUGH STRATEGIC VIRUS DESIGN.Towards Optimal Design of Cancer Nanomedicines: Multi-stage Nanoparticles for the Treatment of Solid Tumors.Preclinical evaluation of a genetically engineered herpes simplex virus expressing interleukin-12Combinatorial strategies for oncolytic herpes simplex virus therapy of brain tumors.Actin-resistant DNAse I Expression From Oncolytic Adenovirus Enadenotucirev Enhances Its Intratumoral Spread and Reduces Tumor Growth.Combining two strategies to improve perfusion and drug delivery in solid tumors."Buy one get one free": armed viruses for the treatment of cancer cells and their microenvironment.Mathematical modeling of vesicle drug delivery systems 2: targeted vesicle interactions with cells, tumors, and the body.Mathematical models for translational and clinical oncology.Pancreatic cancer gene therapy: from molecular targets to delivery systems.Mathematical modeling analysis of intratumoral disposition of anticancer agents and drug delivery systems.Stromal barriers and strategies for the delivery of nanomedicine to desmoplastic tumors.Computational modeling approaches to the dynamics of oncolytic viruses.Modeling therapeutic response to radioiodine in metastatic thyroid cancer: a proof-of-concept study for individualized medicine.Stress-mediated progression of solid tumors: effect of mechanical stress on tissue oxygenation, cancer cell proliferation, and drug delivery.A mathematical approach to virus therapy of glioblastomas.Dynamics of melanoma tumor therapy with vesicular stomatitis virus: explaining the variability in outcomes using mathematical modeling.Lentiviral transfer of an inducible transgene expressing a soluble form of Gas1 causes glioma cell arrest, apoptosis and inhibits tumor growth.Questing for an optimal, universal viral agent for oncolytic virotherapy.Effects of spatiotemporal HSV-2 lesion dynamics and antiviral treatment on the risk of HIV-1 acquisition.Estimation of Oncolytic Virus Populations within Tumors
P2860
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P2860
Mathematical modeling of herpes simplex virus distribution in solid tumors: implications for cancer gene therapy.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մարտին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@ast
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@en
type
label
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@ast
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@en
prefLabel
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@ast
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@en
P2093
P2860
P1476
Mathematical modeling of herpe ...... tions for cancer gene therapy.
@en
P2093
Rakesh K Jain
Wilson Mok
Yves Boucher
P2860
P304
P356
10.1158/1078-0432.CCR-08-2082
P407
P577
2009-03-24T00:00:00Z