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1.
Biomedicines ; 11(1)2022 Dec 30.
Artigo em Inglês | MEDLINE | ID: mdl-36672604

RESUMO

Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women, and the majority suffers from hyperandrogenism. Hyperandrogenism causes psychological morbidity and impaired quality of life in women with PCOS during the reproductive years, but data on prevalence and impact during midlife are lacking. Thus, this study aimed to address whether hyperandrogenism persists into midlife and, if so, what impact it has on quality of life. In order to answer this question, we performed a multicenter prospective cohort study, where we included women already diagnosed with PCOS who had reached the age of 45 years or more and age-matched controls. All participants underwent a physical exam, structured medical interview, biochemical testing and filled out self-assessment questionnaires. More than 40% of the women with PCOS and 82% of those who presented with the hyperandrogenic phenotype at the diagnostic work-up still suffered from hirsutism. Circulating testosterone levels were similar between women with PCOS and controls while free androgen index was higher in women with PCOS, independent of weight. Women with hyperandrogenic PCOS expressed persisting concerns regarding hirsutism at the follow-up assessment. In conclusion, women with PCOS who present with hyperandrogenic symptoms at the time they are diagnosed with PCOS have a higher risk of persistent androgenic symptoms and impaired quality of life in midlife.

2.
Breast Cancer Res ; 22(1): 95, 2020 08 26.
Artigo em Inglês | MEDLINE | ID: mdl-32847607

RESUMO

BACKGROUND: Mammographic density (MD) is a strong risk factor for breast cancer. We examined how endogenous plasma hormones are associated with average MD area (cm2) and annual MD change (cm2/year). METHODS: This study within the prospective KARMA cohort included analyses of plasma hormones of 1040 women. Hormones from the progestogen (n = 3), androgen (n = 7), oestrogen (n = 2) and corticoid (n = 5) pathways were analysed by ultra-performance supercritical fluid chromatography-tandem mass spectrometry (UPSFC-MS/MS), as well as peptide hormones and proteins (n = 2). MD was measured as a dense area using the STRATUS method (mean over the left and right breasts) and mean annual MD change over time. RESULTS: Greater baseline mean MD was associated with overall higher concentrations of progesterone (average + 1.29 cm2 per doubling of hormone concentration), 17OH-progesterone (+ 1.09 cm2), oesterone sulphate (+ 1.42 cm2), prolactin (+ 2.11 cm2) and SHBG (+ 4.18 cm2), and inversely associated with 11-deoxycortisol (- 1.33 cm2). The association between MD and progesterone was confined to the premenopausal women only. The overall annual MD change was - 0.8 cm2. Hormones from the androgen pathway were statistically significantly associated with MD change. The annual MD change was - 0.96 cm2 and - 1.16 cm2 lesser, for women in the highest quartile concentrations of testosterone and free testosterone, respectively, compared to those with the lowest concentrations. CONCLUSIONS: Our results suggest that, whereas hormones from the progestogen, oestrogen and corticoid pathways drive baseline MD, MD change over time is mainly driven by androgens. This study emphasises the complexity of risk factors for breast cancer and their mechanisms of action.


Assuntos
Densidade da Mama , Neoplasias da Mama/patologia , Mama/patologia , Hormônios/sangue , Mamografia/métodos , Corticosteroides/sangue , Mama/diagnóstico por imagem , Mama/metabolismo , Neoplasias da Mama/diagnóstico por imagem , Neoplasias da Mama/metabolismo , Estrogênios/sangue , Feminino , Humanos , Pessoa de Meia-Idade , Pós-Menopausa , Pré-Menopausa , Progesterona/sangue , Prolactina/sangue , Estudos Prospectivos , Fatores de Risco , Testosterona/sangue
3.
Cancer Epidemiol Biomarkers Prev ; 29(3): 574-581, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-31948996

RESUMO

BACKGROUND: Endogenous hormones and mammographic density are risk factors for breast cancer. Joint analyses of the two may improve the ability to identify high-risk women. METHODS: This study within the KARMA cohort included prediagnostic measures of plasma hormone levels of dehydroepiandrosterone (DHEA), its sulfate (DHEAS), and mammographic density in 629 cases and 1,223 controls, not using menopausal hormones. We evaluated the area under the receiver-operating curve (AUC) for risk of breast cancer by adding DHEA, DHEAS, and mammographic density to the Gail or Tyrer-Cuzick 5-year risk scores or the CAD2Y 2-year risk score. RESULTS: DHEAS and percentage density were independently and positively associated with breast cancer risk (P = 0.007 and P < 0.001, respectively) for postmenopausal, but not premenopausal, women. No significant association was seen for DHEA. In postmenopausal women, those in the highest tertiles of both DHEAS and density were at greatest risk of breast cancer (OR, 3.5; 95% confidence interval, 1.9-6.3) compared with the lowest tertiles. Adding DHEAS significantly improved the AUC for the Gail (+2.1 units, P = 0.008) and Tyrer-Cuzick (+1.3 units, P = 0.007) risk models. Adding DHEAS to the Gail and Tyrer-Cuzick models already including mammographic density further increased the AUC by 1.2 units (P = 0.006) and 0.4 units (P = 0.007), respectively, compared with only including density. CONCLUSIONS: DHEAS and mammographic density are independent risk factors for breast cancer and improve risk discrimination for postmenopausal breast cancer. IMPACT: Combining DHEAS and mammographic density could help identify women at high risk who may benefit from individualized breast cancer screening and/or preventive measures among postmenopausal women.


Assuntos
Neoplasias da Mama/epidemiologia , Sulfato de Desidroepiandrosterona/sangue , Mamografia , Pós-Menopausa/sangue , Adulto , Mama/diagnóstico por imagem , Densidade da Mama , Neoplasias da Mama/prevenção & controle , Estudos de Casos e Controles , Estudos de Viabilidade , Feminino , Humanos , Incidência , Pessoa de Meia-Idade , Estudos Prospectivos , Curva ROC , Medição de Risco/métodos , Fatores de Risco
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