156 resultados para AROMATASE
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Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.
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Background: Mechanisms underlying the effect of estrogen exposure on breast cancer risk remain unclear. Insulin-like growth factor-1 (IGF-1) levels have been positively associated with breast cancer and are a potential mechanism. Objectives: The objectives of this thesis are: 1) to explore whether the reproductive risk factors and the lifetime cumulative number of menstrual cycles (LCMC), as measures for long-term estrogen exposure, are associated with IGF-1 levels, and 2) to examine the effect of an aromatase inhibitor (AI) on IGF-1 levels, and the potential interaction with BMI. Methods: A cross sectional study and a randomized controlled trial nested with the MAP.3 chemoprevention trial were used to address objective 1 and 2, respectively. 567 postmenopausal women were selected. Anthropometric measurements, lifestyle factors, reproductive characteristics and serum IGF-1 concentrations were collected at baseline and one year. Objective 1. The LCMC was computed as a composite measure of the reproductive characteristics. Multivariable linear regression models were used to assess the association between IGF-1 levels and LCMC and the hormonal risk factors, while adjusting for potential covariates. Objective 2. Changes in IGF-1 were compared between the exemestane and placebo, and effect modification by BMI was tested with an interaction term. Results: Objective 1. Women aged 55 years or older at menopause had 16.26 ng/mL (95% CI: 1.76, 30.75) higher IGF-1 compared to women aged less than 50 years at menopause. Women in the highest category of menstrual cycles (≥500 cycles) had an average 19.00 ng/mL (95%CI: 5.86, 32.14) higher concentration of IGF-1 compared to women in the lowest category (<350). Exogenous hormones had no effect on postmenopausal IGF-1 levels. Objective 2. Exemestane significantly increased IGF-1 levels by 18% (95% CI: 14%-22%); while, placebo had no effect on IGF-1. The changes in IGF-1 were significantly different between the treatment arms (P<0.0001) and no significant interaction was observed between treatment and BMI on IGF-1 changes (P=0.1327). Conclusion: Objective 1. Larger number of menstrual cycles and a later age at menopause are positively associated with IGF-1. IGF-1 may be one mechanism by which prolonged estrogen exposure increases cancer risk. Objective 2. We conclude that the reduced cancer risk observed with AI therapy likely occurs in an IGF-1 independent mechanism. Further studies exploring the clinical consequences of increased IGF-1 on AI therapy are needed.
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Background: Women with germline BRCA1 mutations have a high lifetime risk of breast cancer, with the only available risk-reduction strategies being risk-reducing surgery or chemoprevention. These women predominantly develop triple-negative breast cancers; hence, it is unlikely that selective estrogen receptor modulators (serms) will reduce the risk of developing cancer, as these have not been shown to reduce the incidence of estrogen receptor–negative breast cancers. Preclinical data from our laboratory suggest that exposure to estrogen and its metabolites is capable of causing dna double-strand breaks (dsbs) and thus driving genomic instability, an early hallmark of BRCA1-related breast cancer. Therefore, an approach that lowers circulating estrogen levels and reduces estrogen metabolite exposure may prove a successful chemopreventive strategy.
Aims: To provide proof of concept of the hypothesis that the combination of luteinizing-hormone releasing-hormone agonists (lhrha) and aromatase inhibitors (ais) can suppress circulating levels of estrogen and its metabolites in BRCA1 mutation carriers, thus reducing estrogen metabolite levels in breast cells, reducing dna dsbs, and potentially reducing the incidence of breast cancer.
Methods: 12 Premenopausal BRCA1 mutation carriers will undergo baseline ultrasound-guided breast core biopsy and plasma and urine sampling. Half the women will be treated for 3 months with combination goserelin (lhrha) plus anastrazole (ai), and the remainder with tamoxifen (serm) before repeat tissue, plasma, and urine sampling. After a 1-month washout period, groups will cross over for a further 3 months treatment before final biologic sample collection. Tissue, plasma, and urine samples will be examined using a combination of immunohistochemistry, comet assays, and ultrahigh performance liquid chromatography tandem mass spectrometry to assess the impact of lhrha plus ai compared with serm on levels of dna damage, estrogens, and genotoxic estrogen metabolites. Quality of life will also be assessed during the study.
Results: This trial is currently ongoing.
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A human genome contains more than 20 000 protein-encoding genes. A human proteome, instead, has been estimated to be much more complex and dynamic. The most powerful tool to study proteins today is mass spectrometry (MS). MS based proteomics is based on the measurement of the masses of charged peptide ions in a gas-phase. The peptide amino acid sequence can be deduced, and matching proteins can be found, using software to correlate MS-data with sequence database information. Quantitative proteomics allow the estimation of the absolute or relative abundance of a certain protein in a sample. The label-free quantification methods use the intrinsic MS-peptide signals in the calculation of the quantitative values enabling the comparison of peptide signals from numerous patient samples. In this work, a quantitative MS methodology was established to study aromatase overexpressing (AROM+) male mouse liver and ovarian endometriosis tissue samples. The workflow of label-free quantitative proteomics was optimized in terms of sensitivity and robustness, allowing the quantification of 1500 proteins with a low coefficient of variance in both sample types. Additionally, five statistical methods were evaluated for the use with label-free quantitative proteomics data. The proteome data was integrated with other omics datasets, such as mRNA microarray and metabolite data sets. As a result, an altered lipid metabolism in liver was discovered in male AROM+ mice. The results suggest a reduced beta oxidation of long chain phospholipids in the liver and increased levels of pro-inflammatory fatty acids in the circulation in these mice. Conversely, in the endometriosis tissues, a set of proteins highly specific for ovarian endometrioma were discovered, many of which were under the regulation of the growth factor TGF-β1. This finding supports subsequent biomarker verification in a larger number of endometriosis patient samples.
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O herbicida Atrazina (ATR) é um agrotóxico utilizado há cerca de 50 anos, responsável pelo controle seletivo de plantas daninhas em cultivo de arroz, milho e cana-de-açúcar, principalmente. Estudos recentes apontam diversos efeitos desse herbicida em invertebrados e vertebrados, através da contaminação do solo, bem como da lixiviação para os ecossistemas aquáticos. Foi demonstrado que a ATR é um desregulador endócrino, além de causar efeitos como estresse oxidativo, imunotoxicidade e distúrbios no metabolismo energético. No presente estudo, a espécie nativa Poecilia vivipara foi utilizada como modelo experimental para identificar e analisar a expressão de genes atuantes na via esteroidogênica (StAR e Cyp19a1) e genes atuantes no sistema de defesa antioxidante enzimático (SOD-1 e CAT), frente a exposição à diferentes concentrações de ATR. Sequências parciais dos genes-alvo foram obtidas e comparadas com sequências disponíveis de espécies próximas. Foram analisadas a expressão órgãoespecífica para cada um dos genes isolados, bem como a expressão dos genes frente à exposição ao herbicida atrazina. Os animais foram expostos a ATR em concentrações de 2, 10 e 100 µg/L e a expressão dos genes em gônadas e fígado desses animais foram analisadas em 24 e 96 horas de exposição. As sequências obtidas dos genes StAR, Cyp19a1, SOD-1 e CAT apresentaram 821, 80, 954, 350 pares de bases respectivamente, com identidades que variam de 86 a 100% com espécies filogeneticamente próximas a P. vivipara. Os animais apresentaram uma maior expressão dos genes StAR e Cyp19a1 nas gônadas e no fígado, enquanto a menor expressão se mostrou em órgãos como intestino e baço. Já os genes SOD e CAT apresentaram uma maior expressão no fígado, e menor expressão no intestino. Em relação à expressão gênica frente à exposição à ATR, os resultados apontaram para uma indução dos genes StAR, SOD e CAT em 24 horas, nas gônadas e no fígado, enquanto 8 que a expressão do gene Cyp19a1 foi aumentada apenas após 96 horas de exposição. Foi demonstrado que o herbicida ATR, mesmo em baixas concentrações, é capaz de desregular a expressão de genes que codificam tanto para proteínas componentes da via de síntese de hormônios esteróides, quanto para enzimas atuantes na resposta antioxidante celular de P. vivipara.
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Dans cette thèse, je présente une étude (1) du rôle de la 17β-HSD5 dans la modulation des taux d’hormones et dans la prolifération, et l’impact de l’expression de la 17β-HSD5 sur d’autres protéines de BC cellules; (2) une étude comparative sur trois enzymes (17β-HSD1, 17β-HSD7 et 3α-HSD3) avec la provision de DHEA et ses substrats directes soit l’E1 ou la DHT. Les principaux résultats obtenus dans cette étude sont les suivants: (1) en utilisant l’ARN d’interférence de la 17β-HSD5, des immunodosages enzymatiques et des tests de prolifération de cellules démontrent que l’expression de la 17β-HSD5 est positivement corrélée à un niveau de T et de DHT dans les BCC, mais négativement corrélée pour l’E2 et la prolifération des cellules de BC (2) les analyses quantitatives de PCR en temps réel et de Western blot ont démontré que l’inhibition de l’expression de la 17β-HSD5 régule à la hausse l’expression de l’aromatase dans les cellules MCF-7. (3) L’analyse d’ELISA de la prostaglandine E2 a vérifié que l’expression accrue de l’aromatase a été modulée par des niveaux élevés de PGE2 après l’inactivation de l’expression du gène de la 17β-HSD5. (4) Le test de cicatrisation a montré que l’inactivation de l’expression du gène de la 17β-HSD5 favorise l’augmentation de la migration cellulaire. (5) L’expression du gène 17β-HSD5 dans des échantillons cliniques, à partir de l’analyse de base de données ONCOMINE, a montré que sa plus faible expression a été corrélée avec le statut de l’HER-2 et de la métastase de la tumeur. (6) Les données protéomiques révèlent également que des protéines impliquées dans les voies métaboliques sont fortement exprimées dans les cellules MCF-7 après l’inactivation de l’expression du gène de la 17β-HSD5. (7) L’étude n’a démontré aucune différence dans la fonction biologique de la 17β-HSD1 et de la 17β-HSD7 lorsqu’elles sont cultivées avec différentes stéroïdes: tel que les niveaux de stéroides, la prolifération cellulaire et les protéines régulées. (8) Toutefois, la supplémentation du milieu de culture se révèle avoir un impact marqué sur l’étude de la 3α-HSD3. (9). Nous avons proposé que l’utilisation de la DHEA comme source d’hormone puisse entraîner une meilleure imitation des conditions physiologiques post-ménopausales en culture cellulaire selon l’intracrinologie.