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1.
Mol Clin Oncol ; 4(3): 399-404, 2016 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-26998291

RESUMO

Experimental and epidemiological data support the potential activity of acetaminophen against ovarian cancer (OVCA). In this study, we sought to confirm the activity of acetaminophen in OVCA cell lines and to investigate the molecular basis of response. A total of 16 OVCA cell lines underwent pretreatment (baseline) genome-wide expression measurements and were then treated with and analyzed for acetaminophen sensitivity. Pearson's correlation analysis was performed to identify genes that were associated with OVCA acetaminophen response. The identified genes were subjected to pathway analysis, and the expression of each represented pathway was summarized using principal component analysis. OVCA acetaminophen response pathways were analyzed in 4 external clinico-genomic datasets from 820 women for associations with overall survival from OVCA. Acetaminophen exhibited antiproliferative activity against all tested OVCA cell lines, with half maximal inhibitory concentration values ranging from 63.2 to 403 µM. Pearson's correlation followed by biological pathway analysis identified 13 pathways to be associated with acetaminophen sensitivity (P<0.01). Associations were observed between patient survival from OVCA and expression of the following pathways: Development/angiotensin signaling via ß-arrestin (P=0.04), protein folding and maturation/angiotensin system maturation (P=0.02), signal transduction/c-Jun N-terminal kinase (JNK) pathway (P=0.03) and androstenedione and testosterone biosynthesis and metabolism (P=0.02). We confirmed that acetaminophen was active against OVCA cells in vitro. Furthermore, we identified 4 molecular signaling pathways associated with acetaminophen response that may also affect overall survival in women with OVCA, including the JNK pathway, which has been previously implicated in the mechanism of action of acetaminophen and is predictive of decreased survival in women with OVCA.

2.
Breast ; 24(1): 51-6, 2015 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-25491191

RESUMO

BACKGROUND: Chemoprevention is an option for women who are at increased risk of breast cancer (five year risk ≥1.7%). It is uncertain, however, how often women accept and complete five years of therapy and whether clinical or demographic factors predict completion. METHODS: Medical records were abstracted for 219 women whose five year risk of breast cancer was ≥1.7% and who were offered chemoprevention while attending a high risk breast clinic at the Moffitt Cancer Center. We examined the likelihood of accepting chemoprevention and completing five years of therapy, and potential clinical and demographic predictors of these outcomes, using multivariable logistic regression and survival analysis models. RESULTS: There were 118/219 women (54.4%) who accepted a recommendation for chemoprevention and began therapy. The likelihood of accepting chemoprevention was associated with lifetime breast cancer risk and was higher for women with specific high risk conditions (lobular carcinoma in situ and atypical ductal hyperplasia). Women with osteoporosis and those that consumed alcohol were also more likely to accept medication. There were 58/118 (49.2%) women who stopped medication at least temporarily after starting therapy. Based on survival curves, an estimated 60% of women who begin chemoprevention will complete five years of therapy. CONCLUSIONS: A substantial percentage of women at increased risk of breast cancer will decline chemoprevention and among those that accept therapy, approximately 40% will not be able to complete five years of therapy because of side effects.


Assuntos
Anticarcinógenos/uso terapêutico , Neoplasias da Mama/prevenção & controle , Carcinoma Intraductal não Infiltrante/prevenção & controle , Adesão à Medicação/estatística & dados numéricos , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias da Mama/epidemiologia , Carcinoma Intraductal não Infiltrante/epidemiologia , Feminino , Humanos , Modelos Logísticos , Pessoa de Meia-Idade , Risco , Medição de Risco , Análise de Sobrevida
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