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// Luana Mota Martins 1 , Carla Solange de Melo Escorcio Dourado 1 , Larysse Maira Campos-Verdes 1 , Fabiane Araujo Sampaio 1 , Camila Maria Simplicio Revoredo 1 , Danylo Rafhael Costa-Silva 1 , Maria da Conceicao Barros-Oliveira 1 , Elmo de Jesus Nery Junior 1 , Lucia Maria do Rego-Medeiros 2 , Luiz Henrique Gebrim 1 , Francisco Adelton Alves-Ribeiro 1 , Gilmara Peres Rodrigues 1 , Diego Cipriano Chagas 1 , Dilina do Nascimento Marreiro 1 and Benedito Borges da Silva 1 , 2 1 Postgraduate Program, Northeast Biotechnology Network (RENORBIO), Biotechnology in Health, Federal University of Piaui, Teresina, Piaui 64000-020, Brazil 2 Facid / Wyden Differential Integral Medicine Faculty, Department of Mastology, Teresina, Piaui 64052-810, Brazill Correspondence to: Benedito Borges da Silva, email: beneditoborges@globo.com Keywords: breast neoplasms; fibroadenoma; matrix metalloproteinase-2; matrix metalloproteinase-9; immunohistochemistry Received: September 17, 2019 Accepted: November 06, 2019 Published: December 03, 2019 ABSTRACT Background Matrix metalloproteinases (MMPs) 2 and 9 may play an important role in cell proliferation and dissemination of cancer. However, few studies have compared the expression of these proteins between breast cancer and fibroadenoma. Material and methods A randomized, double-blind study was carried out in 66 premenopausal women, aged 20-49 years, who had been diagnosed with fibroadenoma or breast cancer. The patients were divided into two groups: Group A, control (fibroadenoma, n=36) and Group B, study (cancer, n=30). Immunohistochemical analysis was performed using tissue samples of fibroadenoma and breast cancer to assess MMP-2 and MMP-9 antigen expression. Cells were considered positive if exhibiting brown cytoplasmic staining. Fisher’s exact test was used to compare the percentage of cases with cells expressing MMP-2 and MMP-9 in control and study groups (p < 0.05). Results Light microscopy showed a higher concentration of cells with positive cytoplasmic staining for MMP-2 and MMP-9 expression in breast cancer than in fibroadenoma. The percentage of cases with cells expressing MMP-2 in the control and study groups was 41.67% and 86.11%, respectively (p < 0.0009), whereas the percentage of cases with cells expressing MMP-9 in groups A and B was 66.67% and 93.33%, respectively (p

BackgroundGliomas are the most common primary tumors of the central nervous system with unclear etiology, however hereditary factors may play important roles in the development of gliomas with mutations and single nucleotide polymorphisms (SNPs) being prominent among the genetic changes. this systematic review and meta-analysis assess the association of XRCC1 (rs1799782) and ERCC2 (rs13181) gene polymorphisms and glioma risk.MethodsThis study included articles indexed in the PUBMED and EMBASE databases published during the past 15 years. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. The PICOS model was used to develop the inclusion criteria and search terms. This review was recorded at PROSPERO International prospective register of systematic reviews, ID 196173. The META-MAR V2.7.0 meta-analysis calculator was used for the statistical analysis with p-values < 0.05 being considered statistically significant. Dichotomous data are presented as odds ratios (OR) with a 95% confidence interval (CI). Statistical heterogeneity was measured using the I2 test and I2 > 50% were regarded as high heterogeneity. Funnel plots, Begg (BT) and Egger Tests (ET) were used to assess publication bias (pResults Literature review identified 10 articles on ERCC2 gene rs13181 variant and 11 on XRCC1 rs1799782. The meta-analysis identified a risk for gliomas for the TT genotype of the XRCC1 rs1799782 SNP in Asians (OR: 1.59, 95% CI: 1.3-1.93; p=0.006; I2 13.1%). ERCC2 rs13181 polymorphisms identified as risks for gliomas were AC genotypes in Asians (OR: 2.06, 95% CI: 1.75-1.42; p = 0.00057; I2 91.1%) and Caucasians (OR: 1.16, 95% CI: 1.01-1.31; p = 0.02; I2 12.2%), and CC genotypes in Caucasians (OR: 2.06, 95% CI: 1.75-1.42; p = 0.0001; I2 98.9%).Conclusions TT genotypes of the XRCC1 rs1799782 SNP in Asians, AC genotypes of ERCC2 rs13181 polymorphisms in Asians and Caucasians, and CC genotypes of ERCC2 rs13181 polymorphisms in Caucasians were associated with increased risk for gliomas that may benefit these patients with early diagnostic and therapeutic strategies.

OBJECTIVES: In breast cancer diagnosis, mammography (MMG), ultrasonography (USG) and magnetic resonance imaging (MRI) are the imaging methods most used. There is a scarcity of comparative studies that evaluate the accuracy of these methods in the diagnosis of breast cancer. METHODS: A cross-sectional study was carried out through the review of electronic medical records of 32 female patients who underwent breast imaging examinations at a imaging diagnostic center in Teresina, State of Piauí, Brazil. Patients who had these three imaging methods at the time of the evaluation of the same nodule were included. The nodule must have been classified as suspect by the BI-RADS® system in at least one of the methods. Data from each method were compared with the histopathological examination. Statistical analysis used the calculation of proportions in Excel 2010. RESULTS: MMG showed 56.2%, 87.5%, 81.8%, 66.7% and 71.8% of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy, respectively. USG had 75%, 18.8%, 48%, 42.8% and 46.9% of sensitivity, specificity, PPV, NPV and accuracy, respectively. In turn, MRI had 100%, 50%, 66.7%, 100% and 75% of sensitivity, specificity, PPV, NPV and accuracy, respectively. CONCLUSION: Thus, MRI and MMG were more accurate in evaluating suspicious breast lumps. MRI had a low specificity, mainly to high breast density, while MMG had also sensitivity limited due to high breast density and USG has been proven to be useful in these patients.

OBJECTIVE: This study aimed to determine the relationship between rs17576 (MMP-9) polymorphism and increased cancer risk in a Brazilian breast cancer cohort. METHODS: This study included 141 women (71 breast cancer patients and 70 controls without breast cancer) who donated 3 mL of their peripheral blood for genomic DNA extraction. This DNA was then genotyped using a real-time polymerase chain reaction. RESULTS: The AG (rs17576) genotype was identified in 26 (18.43%) participants in the case group and in 22 (15.60%) participants in the control group (p=0.274), while the GG genotype was identified in ten (7.09%) participants in the case group and in one (0.70%) participant in the control group (p