N-acetylglucosaminidase, myeloperoxidase and vascular endothelial growth factor serum levels in breast cancer patients

Inflammatory cells surround breast carcinomas and may act promoting tumor development or stimulating anti-tumor immunity. N-acetylglucosaminidase (NAG) has been employed to detect macrophage accumulation/activation. Myeloperoxidase (MPO) is considered a marker for neutrophils activity/accumulation. Vascular Endothelial Growth Factor (VEGF) is as strong pro-angiogenic cytokine. The aim of this study was to measure the systemic inflammatory response by measuring serum levels of NAG, MPO and VEGF in women diagnosed with breast cancer and associate this response to the peritumoral inflammatory infiltrate and to prognostic factors. Serum samples obtained from women with no evidence of disease (n = 31) and with breast cancer (n = 68) were analyzed for the activities of NAG, MPO and VEGF by enzymatic assay. Serum levels of NAG and VEGF were higher in healthy volunteers (P < 0.0001) and serum levels of MPO were higher in patients with breast cancer (P = 0.002). Serum levels of NAG were positively correlated to serum levels of MPO and VEGF (P < 0.0001 and P = 0.0012, respectively) and MPO and VEGF serum levels had also a positive correlation (P = 0.0018). The inflammatory infiltrate was not associated to serum levels of the inflammatory markers, and higher levels of MPO were associated to lymphovascular invasion negativity (P = 0.0175). (C) 2013 Elsevier Masson SAS. All rights reserved.

ATM down-regulation is associated with poor prognosis in sporadic breast carcinomas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ethanolic extract of Mimosa caesalpiniifolia leaves: Chemical characterization and cytotoxic effect on human breast cancer MCF-7 cell line

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

HLA-G polymorphism and breast cancer

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Perfil lipídico sérico e ede ácidos graxos do tecido adiposo em cadelas com tumores mamários: caso-controle

Pós-graduação em Biotecnologia Animal - FMVZ

Short-term changes in handgrip strength, body composition, and lymphedema induced by breast cancer surgery

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Tear production, intraocular pressure and conjunctival microbiota, cytology and histology of New Zealand rabbits (Oryctolagus cuniculus)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Sources and levels of selenium on breast meat quality of broilers

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Primary relapse site pattern in women with triple-negative breast cancer

Despite the remarkable improvements in breast cancer (BC) characterization, accurate prediction of BC clinical behavior is often still difficult to achieve. Some studies have investigated the association between the molecular subtype, namely the basal-like BC and the pattern of relapse, however only few investigated the association between relapse pattern and immunohistochemical defined triple-negative breast cancers (TNBCs). The aim of this study was to evaluate the pattern of relapse in patients with TNBC, namely the primary distant relapse site:One-hundred twenty nine (129) invasive breast carcinomas with follow-up information were classified according to the molecular subtype using immunohistochemistry for ER, PgR and Her2. The association between TNBC and distant relapse primary site was analyzed by logistic regression. Using multivariate logistic regression analysis patients with TNBC displayed only 0.09(95% CI: 0.00-0.74; p = 0.02) the odds of, the non-TNBC patients of developing bone primary relapse. Regarding visceral and lymph-node relapse, no differences between in this cohort were found.Though classically regarded as aggressive tumors, TNBCs rarely development primary relapse in bone when compared to non-TNBC, a clinical relevant fact when investigating a metastasis of an occult or non-sampled primary BC. (C) 2014 Elsevier GmbH. All rights reserved.

Optimum-Path Forest Applied for Breast Masses Classification

In Computer-Aided Diagnosis-based schemes in mammography analysis each module is interconnected, which directly affects the system operation as a whole. The identification of mammograms with and without masses is highly needed to reduce the false positive rates regarding the automatic selection of regions of interest for further image segmentation. This study aims to evaluate the performance of three techniques in classifying regions of interest as containing masses or without masses (without clinical findings), as well as the main contribution of this work is to introduce the Optimum-Path Forest (OPF) classifier in this context, which has never been done so far. Thus, we have compared OPF against with two sorts of neural networks in a private dataset composed by 120 images: Radial Basis Function and Multilayer Perceptron (MLP). Texture features have been used for such purpose, and the experiments have demonstrated that MLP networks have been slightly better than OPF, but the former is much faster, which can be a suitable tool for real-time recognition systems.

Aplicação de testes hemostáticos na avaliação do risco trombótico em cadelas com carcinoma mamário

Pós-graduação em Medicina Veterinária - FMVZ