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1.
Oncogene ; 32(3): 318-26, 2013 Jan 17.
Artículo en Inglés | MEDLINE | ID: mdl-22370636

RESUMEN

Oncogenic mutations in PIK3CA, which encodes the phosphoinositide-3-kinase (PI3K) catalytic subunit p110α, occur in ∼25% of human breast cancers. In this study, we report the development of a knock-in mouse model for breast cancer where the endogenous Pik3ca allele was modified to allow tissue-specific conditional expression of a frequently found Pik3ca(H1047R) (Pik3ca(e20H1047R)) mutant allele. We found that activation of the latent Pik3ca(H1047R) allele resulted in breast tumors with multiple histological types. Whole-exome analysis of the Pik3ca(H1047R)-driven mammary tumors identified multiple mutations, including Trp53 mutations that appeared spontaneously during the development of adenocarinoma and spindle cell tumors. Further, we used this model to test the efficacy of GDC-0941, a PI3K inhibitor, in clinical development, and showed that the tumors respond to PI3K inhibition.


Asunto(s)
Técnicas de Sustitución del Gen , Neoplasias Mamarias Experimentales/genética , Neoplasias Mamarias Experimentales/patología , Mutación , Fosfatidilinositol 3-Quinasas/metabolismo , Adenocarcinoma/genética , Adenocarcinoma/patología , Alelos , Animales , Secuencia de Bases , Fosfatidilinositol 3-Quinasa Clase I , Activación Enzimática/efectos de los fármacos , Femenino , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Genómica , Humanos , Ratones , Especificidad de Órganos , Fosfatidilinositol 3-Quinasas/genética , Inhibidores de las Quinasa Fosfoinosítidos-3 , Inhibidores de Proteínas Quinasas/farmacología , Proteína p53 Supresora de Tumor/genética
2.
AJNR Am J Neuroradiol ; 33(6): 1059-64, 2012 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-22268080

RESUMEN

BACKGROUND AND PURPOSE: ADC histogram analysis can stratify outcomes in patients with GBM treated with bevacizumab. Therefore, we compared gene expression between high-versus-low ADC tumors to identify gene expression modules that could underlie this difference and impact patient prognosis. MATERIALS AND METHODS: Up-front bevacizumab-treated patients (N = 38) with newly diagnosed glioblastoma were analyzed by using an ADC histogram approach based on enhancing tumor. Using microarrays, we compared gene expression in high-versus-low ADC tumors in patients subsequently treated with bevacizumab. Tissue sections from a subset of tumors were stained for collagen and collagen-binding proteins. Progression-free and overall survival was determined by using Cox proportional hazard ratios and the Kaplan-Meier method with the log rank test. RESULTS: A total of 13 genes were expressed at 2-fold or greater levels in high- compared with low-ADC tumors at the P < .05 level. Of these, 6 encode for collagen or collagen-binding proteins. High gene expression for the collagen-binding protein decorin was associated with shorter survival (HR, 2.5; P = .03). The pattern and degree of collagen staining were highly variable in both high- and low-ADC tumors. CONCLUSIONS: High-ADC GBMs show greater levels of ECM protein gene expression compared with low-ADC GBMs. It is unclear whether this translates to the accumulation of higher levels of the encoded proteins. However, because ECM molecules could contribute to a proinvasive phenotype, this relationship merits further investigation.


Asunto(s)
Anticuerpos Monoclonales Humanizados/uso terapéutico , Biomarcadores de Tumor/metabolismo , Neoplasias Encefálicas/tratamiento farmacológico , Neoplasias Encefálicas/metabolismo , Proteínas de la Matriz Extracelular/metabolismo , Glioblastoma/diagnóstico , Glioblastoma/tratamiento farmacológico , Adulto , Anciano , Inhibidores de la Angiogénesis/uso terapéutico , Bevacizumab , Neoplasias Encefálicas/diagnóstico , Femenino , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Glioblastoma/metabolismo , Humanos , Masculino , Persona de Mediana Edad , Proteínas de Neoplasias/metabolismo , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Tasa de Supervivencia , Distribución Tisular
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