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1.
J Clin Oncol ; 21(15): 2823-30, 2003 Aug 01.
Artículo en Inglés | MEDLINE | ID: mdl-12807935

RESUMEN

PURPOSE: Clinical evaluation of novel agents that target tumor blood vessels requires pharmacodynamic end points that measure vascular damage. Positron emission tomography (PET) was used to measure the effects of the vascular targeting agent combretastatin A4 phosphate (CA4P) on tumor and normal tissue perfusion and blood volume. PATIENTS AND METHODS: Patients with advanced solid tumors were enrolled onto part of a phase I, accelerated-titration, dose-escalation study. The effects of 5 to 114 mg/m2 CA4P on tumor, spleen, and kidney were investigated. Tissue perfusion was measured using oxygen-15 (15O)-labeled water and blood volume was measured using 15O-labeled carbon monoxide (C15O). Scans were performed immediately before, and 30 minutes and 24 hours after the first infusion of each dose level of CA4P. All statistical tests were two sided. RESULTS: PET data were obtained for 13 patients with intrapatient dose escalation. Significant dose-dependent reductions were seen in tumor perfusion 30 minutes after CA4P administration (mean change, -49% at >or= 52 mg/m2; P =.0010). Significant reductions were also seen in tumor blood volume (mean change, -15% at >or= 52 mg/m2; P =.0070). Although by 24 hours there was tumor vascular recovery, for doses >or= 52 mg/m2 the reduction in perfusion remained significant (P =.013). Thirty minutes after CA4P administration borderline significant changes were seen in spleen perfusion (mean change, -35%; P =.018), spleen blood volume (mean change, -18%; P =.022), kidney perfusion (mean change, -6%; P =.026), and kidney blood volume (mean change, -6%; P =.014). No significant changes were seen at 24 hours in spleen or kidney. CONCLUSION: CA4P produces rapid changes in the vasculature of human tumors that can be assessed using PET measurements of tumor perfusion.


Asunto(s)
Antineoplásicos Fitogénicos/farmacología , Neoplasias/tratamiento farmacológico , Estilbenos/farmacología , Tomografía Computarizada de Emisión , Adulto , Antineoplásicos Fitogénicos/administración & dosificación , Antineoplásicos Fitogénicos/farmacocinética , Relación Dosis-Respuesta a Droga , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador , Bombas de Infusión , Riñón/irrigación sanguínea , Masculino , Persona de Mediana Edad , Neoplasias/irrigación sanguínea , Neoplasias/diagnóstico por imagen , Bazo/irrigación sanguínea , Estadísticas no Paramétricas , Estilbenos/administración & dosificación , Estilbenos/farmacocinética , Resultado del Tratamiento
2.
Environ Sci Technol ; 43(16): 6228-34, 2009 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-19746718

RESUMEN

We evaluated whether fitting fluorescence excitation-emission matrices (EEMs) to a previously validated PARAFAC model is an acceptable alternative to building an original model. To do this, we built a 10-component model using 307 EEMs collected from southeast Alaskan soil and streamwater. All 307 EEMs were then fit to the existing model (CM) presented in Cory and McKnight (Environ. Sci. Technol. 2005, 39, 8142-8149). The first approach for evaluating whether the EEMs were fit well to the CM model was an evaluation of the residual EEMs, and we found 22 EEMs were fit poorly by the CM model. Our second measure for verifying whether EEMs were fit well to the CM model was a comparison of correlations between the percent contribution of PARAFAC components and DOM measurements (e.g., dissolved nutrient concentrations), and we found no significant difference Ip > 0.05) between the two models. These results support the approach of fitting EEMs to an existing model when DOM is collected from similar environments, which can potentially reduce some of the problems when building an original PARAFAC model. However, it is important to recognize that some of the sensitivity or ecological interpretative power may be lost when fitting EEMs to an existing model.


Asunto(s)
Modelos Químicos , Compuestos Orgánicos/química , Espectrometría de Fluorescencia/métodos , Alaska , Análisis Factorial , Cromatografía de Gases y Espectrometría de Masas , Análisis de Regresión , Suelo , Solubilidad , Agua/química
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