Polymorphism in CYP17, GSTM1 and the progesterone receptor genes and its relationship with mammographic density

Radiologic breast density is one of the predictive factors for breast cancer and the extent of the density is directly related to postmenopause. However, some patients have dense breasts even during postmenopause. This condition may be explained by the genes that codify for the proteins involved in the biosynthesis, as well as the activity and metabolism of steroid hormones. They are polymorphic, which could explain the variations of individual hormones and, consequently, breast density. The constant need to find markers that may assist in the primary prevention of breast cancer as well as in selecting high risk patients motived this study. We determined the influence of genetic polymorphism of CYP17 (cytochrome P450c17, the gene involved in steroid hormone biosynthesis), GSTM1 (glutathione S-transferase M1, an enzyme involved in estrogen metabolism) and PROGINS (progesterone receptor), for association with high breast density. One hundred and twenty-three postmenopausal patients who were not on hormone therapy and had no clinical or mammographic breast alterations were included in the present study. The results of this study reveal that there was no association between dense breasts and CYP17 or GSTM1. There was a trend, which was not statistically significant (P = 0.084), towards the association between PROGINS polymorphism and dense breasts. However, multivariate logistic regression showed that wild-type PROGINS and mutated CYP17, taken together, resulted in a 4.87 times higher chance of having dense breasts (P = 0.030). In conclusion, in the present study, we were able to identify an association among polymorphisms, involved in estradiol biosyntheses as well as progesterone response, and radiological mammary density.Universidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina Disciplina de MastologiaUNIFESP, EPM, Disciplina de MastologiaSciEL

Polymorphism in genes of the progesterone receptor (PROGINS) in women with breast cancer: a case-control study

PURPOSE: to analyze the correlation between PROGINS polymorphism and breast cancer. METHODS: a case-control study was carried out from April to October 2004. The genotypes of 50 women with breast cancer and 49 healthy women were analyzed. The 306-base pair Alu insertion polymorphism in the G intron of progesterone receptor gene was detected by polymerase chain reaction and analyzed on 2% agarose gel stained with ethidium bromide. The control and experimental groups were compared regarding genotypes using the statistical Epi-Info 6.0 program and for frequencies the exact Fisher test or chi2 test were used. p value smaller p than 5% was considered to be significant. RESULTS: in relation to PROGINS we found in the studied population a prevalence of 62 (62.6%) wild homozygous, 35 (35.3%) heterozygous individuals and two (2.1%) cases with the presence of the mutation. Regarding PROGINS polymorphism, significance was not evidenced when cases and controls were compared, as related to homozygosis (62 vs 65.3%), heterozygosis (36 vs 34,6%) or the mutation (2.0 vs 2.1%), with p=0.920 (OR=1.01), 0.891 (OR=1.06), and 0.988 (OR=1.10), respectively. CONCLUSIONS: the results show that single-gene PROGINS polymorphism does not confer a substantial risk of breast cancer to its carriers.OBJETIVOS: analisar a correlação entre o polimorfismo PROGINS e o câncer de mama. MÉTODOS: estudo caso-controle desenvolvido entre abril e outubro de 2004 com o pareamento de 50 mulheres com diagnóstico histopatológico de carcinoma de mama e 49 mulheres saudáveis. A inserção Alu de 306 pares de base no intron G do gene do receptor da progesterona denominada PROGINS foi detectada por meio de reação em cadeia da polimerase e analisada em gel de agarose 2% corado com brometo de etídio. Os grupos controle e experimental foram comparados, por meio de programa estatístico Epi-Info 6.0, quanto aos genótipos e às freqüências alélicas, utilizando-se o teste do chi2. RESULTADOS: em relação ao PROGINS encontramos uma prevalência na população estudada de 62 (62,6%) indivíduos homozigotos selvagens, 35 (35,3%) de heterozigotos e dois (2,1%) casos com a presença da mutação. Não foi evidenciada diferença significante em relação ao polimorfismo PROGINS, quando comparados os casos e controles, seja com relação à homozigose (62 vs 65,3%), heterozigose (36 vs 34,6%) ou à presença de mutação (2,0 vs 2,1%), com p de 0,920 (OR=1,01), 0,891 (OR=1,06) e 0,988 (OR=1,10), respectivamente. CONCLUSÕES: os resultados mostraram que o polimorfismo PROGINS não conferiu risco substancial de câncer de mama em seus portadores.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Federal do Ceará Faculdade de MedicinaUniversidade Federal de São Paulo (UNIFESP) Departamento de Ginecologia Laboratório de Ginecologia MolecularUniversidade Federal de São Paulo (UNIFESP) Departamento de GinecologiaHospital do Servidor Público Estadual Laboratório de ImunologiaHospital do Servidor Público Estadual Seção de MastologiaHospital do Servidor Público Estadual Serviço de Ginecologia e ObstetríciaUNIFESP, Depto. de Ginecologia Laboratório de Ginecologia MolecularUNIFESP, Depto. de GinecologiaSciEL

Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit

ObjectivesTo assess the ABC2-SPH score in predicting COVID-19 in-hospital mortality, during intensive care unit (ICU) admission, and to compare its performance with other scores (SOFA, SAPS-3, NEWS2, 4C Mortality Score, SOARS, CURB-65, modified CHA2DS2-VASc, and a novel severity score).Materials and methodsConsecutive patients (≥ 18 years) with laboratory-confirmed COVID-19 admitted to ICUs of 25 hospitals, located in 17 Brazilian cities, from October 2020 to March 2022, were included. Overall performance of the scores was evaluated using the Brier score. ABC2-SPH was used as the reference score, and comparisons between ABC2-SPH and the other scores were performed by using the Bonferroni method of correction. The primary outcome was in-hospital mortality.ResultsABC2-SPH had an area under the curve of 0.716 (95% CI 0.693–0.738), significantly higher than CURB-65, SOFA, NEWS2, SOARS, and modified CHA2DS2-VASc scores. There was no statistically significant difference between ABC2-SPH and SAPS-3, 4C Mortality Score, and the novel severity score.ConclusionABC2-SPH was superior to other risk scores, but it still did not demonstrate an excellent predictive ability for mortality in critically ill COVID-19 patients. Our results indicate the need to develop a new score, for this subset of patients

Prognostic markers of low-grade squamous intraepithelial lesions: the role of topoisomerase II alpha and active caspase-3

Purpose: To study the relationship between topoisomerase II alpha, active caspase-3 expressions and HPV DNA in uterine cervices with low-grade squamous intraepithelial lesions (LSIL). Methods: Forty women with LSIL and 32 without cervical neoplasia diagnosed through cytologic and histopathologic examination were evaluated regarding topoisomerase II alpha and active caspase-3 expressions and HPV DNA detection using PCR (GP5/GP6) in cervicovaginal smears. Results: The mean percentage of cells immunomarked by topoisomerase in the group with LSIL was 11.62% while in the control it was 4.13% (p < 0.0001). In the presence of HPV DNA, topoisomerase expression was higher in the group With productive viral infection than in nonneoplastic tissue (p = 0.004). Caspase-3 expression was observed in 17 patients with LSIL (42.5%) and in five without cervical neoplasia (15.63%). Conclusion: The use of topoisomerase II alpha and active caspase-3 in cervical biopsies may help to define the prognosis of HPV cervical infection.Univ Fed Sao Paulo, UNIFESP EPM, Dept Gynecol, Sao Paulo, BrazilUniv Fed Sao Paulo, UNIFESP EPM, Dept Pathol, Sao Paulo, BrazilUniv Fed Sao Paulo, UNIFESP EPM, Dept Gynecol, Sao Paulo, BrazilUniv Fed Sao Paulo, UNIFESP EPM, Dept Pathol, Sao Paulo, BrazilWeb of Scienc