México 1980: estimación de algunos indicadores demográficos

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Situacion demografica de la Provincia de Atacama, 1970: trabajo final de investigacion

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Evolución de la fecundidad en Nicaragua 1976-1993

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Comportamiento de la fecundidad en San Pedro Sula 1994. Honduras

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Contexto economico-social latinoamericano y los paises estudiados

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EDENH II Encuesta Demografica Nacional de Honduras 1983: estimacion de la emigracion de Honduras en base a informacion sobre la residencia de los hijos

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Clonagem e expressão de fragmentos de anticorpos (scFV) contra o vírus da leucemia felina (FeLV) por phage display

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

Métodos diagnósticos para detecção da Leucemia viral felina

The feline leukemia virus (FeLV) was described in 1964 by William Jarrett and collaborators wen find viral particles attached to the membrane of lymphoblasts in cat with lymphoma. The virus belongs to the family Retroviridae, subfamily oncornavirus. With worldwide distribution, the occurrence of FeLV has 1.6% in healthy cats and 10.8% in sick cats in Brazil. The mortality of persistently viremic animals in catteries is about 50% in two years and 80% in three years. In catteries that have endemic feline Coronavirus (FCoV), FeLV and / or Feline Immunodeficiency Virus (FIV), the FeLV infection has greater contribution to mortality. The test for infection and FeLV positive cats segregation is the main way to prevent the spread of infection. The diagnostic methods are based on clinical signs and changes compatible with FeLV infection observed by physical examination, complete blood count, X-ray, bone marrow aspirate and biochemical. The viral p27 protein is produced in infected cells in high amounts and is found in abundance in the cytoplasm and in body fluids enabling diagnosed methods such as enzyme-linked immunosorbent assay - ELISA and direct immunofluorescence, detection of viral genome (Chain Reaction Polymerase - PCR) and detection of the virus by virus isolation. Although diagnostic tests are highly sensitive, it should be made more than a confirmatory test, especially serological due to variable characteristic of the progress of infection

Antiproliferative Effects of Fluoxetine on Colon Cancer Cells and in a Colonic Carcinogen Mouse Model

The antidepressant fluoxetine has been under discussion because of its potential influence on cancer risk. It was found to inhibit the development of carcinogen-induced preneoplastic lesions in colon tissue, but the mechanisms of action are not well understood. Therefore, we investigated anti-proliferative effects, and used HT29 colon tumor cells in vitro, as well as C57BL/6 mice exposed to intra-rectal treatment with the carcinogen N-methyl-N'-nitro-N-nitrosoguanidine (MNNG) as models. Fluoxetine increased the percentage of HT29 cells in the G(0)/G(1) phase of cell-cycle, and the expression of p27 protein. This was not related to an induction of apoptosis, reactive oxygen species or DNA damage. In vivo, fluoxetine reduced the development of MNNG-induced dysplasia and vascularization-related dysplasia in colon tissue, which was analyzed by histopathological techniques. An anti-proliferative potential of fluoxetine was observed in epithelial and stromal areas. It was accompanied by a reduction of VEGF expression and of the number of cells with angiogenic potential, such as CD133, CD34, and CD31-positive cell clusters. Taken together, our findings suggest that fluoxetine treatment targets steps of early colon carcinogenesis. This confirms its protective potential, explaining at least partially the lower colon cancer risk under antidepressant therapy.

Prevalence of feline leukemia virus infection in domestic cats in Rio de Janeiro

Peripheral blood smears of 1094 domestic cats were collected and tested by indirect immunofluorescence antibody assay for p27 antigen in cells to study the prevalence and risk factors for feline leukemia virus (FeLV) in the state of Rio de Janeiro. Sex, age, breed, outdoor access, neutering status, type of habitation (household, shelter, veterinary clinics and other places), number of household cats and clinical signs were registered on a form. Among the tested samples, 11.52% were positive. Risk factors for FeLV infection included outdoor access, age range between 1 and 5 years old, and cohabitation with numerous cats.

Possible implication of Mdm2 as a prognostic marker in invasive laryngeal carcinoma

Laryngeal squamous cell carcinoma is one of the most common malignant neoplasms of the head and neck. In Brazil, laryngeal tumors represent 2% of all cancers and are associated with approximately 3,000 deaths annually. Human papillomavirus (HPV) has been reported to play an important role in the etiology of laryngeal cancer. The aim of the present study was to evaluate the expression of p53, p27, and Mdm2 in laryngeal carcinomas. Sixty-three larynx biopsies were selected for the study, including 9 in situ laryngeal carcinomas, 27 laryngeal carcinomas without metastasis and 27 laryngeal carcinomas with metastasis. Twenty-seven cervical lymph nodes from patients with metastatic lesions were also evaluated. The expression levels of p53, p27, and Mdm2 were assessed by immunohistochemistry using a computer-assisted system. HPV detection and typing were performed using PCR, and the HPV types that were evaluated included HPV 6, 11, 16, 18, 31 and 33. Out of 63 patients, 53 (84.1%) were positive for beta-globin (internal control), and 10 (15.9%) were beta-globin negative and therefore excluded from the evaluation. Thus, 7 (13.2%) out of 53 patients were HPV positive, and 46 (86.8%) out of 53 patients were HPV negative. Statistically significant differences (p < 0.05) in Mdm2 expression levels were observed in the in situ laryngeal carcinoma samples compared with the laryngeal carcinoma samples with metastasis. No statistically significant differences (p > 0.05) in either p53 or p27 expression levels were detected. These findings suggest that Mdm2 may be associated with the invasiveness and aggressiveness of laryngeal carcinomas.

Identification of protein expression signatures in gastric carcinomas using clustering analysis

Background and Aim: The identification of gastric carcinomas (GC) has traditionally been based on histomorphology. Recently, DNA microarrays have successfully been used to identify tumors through clustering of the expression profiles. Random forest clustering is widely used for tissue microarrays and other immunohistochemical data, because it handles highly-skewed tumor marker expressions well, and weighs the contribution of each marker according to its relatedness with other tumor markers. In the present study, we e identified biologically- and clinically-meaningful groups of GC by hierarchical clustering analysis of immunohistochemical protein expression. Methods: We selected 28 proteins (p16, p27, p21, cyclin D1, cyclin A, cyclin B1, pRb, p53, c-met, c-erbB-2, vascular endothelial growth factor, transforming growth factor [TGF]-beta I, TGF-beta II, MutS homolog-2, bcl-2, bax, bak, bcl-x, adenomatous polyposis coli, clathrin, E-cadherin, beta-catenin, mucin (MUC) 1, MUC2, MUC5AC, MUC6, matrix metalloproteinase [ MMP]-2, and MMP-9) to be investigated by immunohistochemistry in 482 GC. The analyses of the data were done using a random forest-clustering method. Results: Proteins related to cell cycle, growth factor, cell motility, cell adhesion, apoptosis, and matrix remodeling were highly expressed in GC. We identified protein expressions associated with poor survival in diffuse-type GC. Conclusions: Based on the expression analysis of 28 proteins, we identified two groups of GC that could not be explained by any clinicopathological variables, and a subgroup of long-surviving diffuse-type GC patients with a distinct molecular profile. These results provide not only a new molecular basis for understanding the biological properties of GC, but also better prediction of survival than the classic pathological grouping.

Profilo molecolare dei linfomi post-trapianto

Fifty-two cases of monomorphic post-transplant lymphoproliferative disorders (M-PTLD), developed in patients undergone solid organ or bone marrow transplantation, were studied by the application of the tissue micro-array (TMA) technology. They included 50 cases of diffuse large B-cell lymphomas (DLBCL) and 2 Burkitt lymphomas (BL). In order to evaluate the immune-profile a large panel of antibodies was applied including several new markers (Cyclin D2, Cyclin D3, p27, PKC-β, FOXP-1 and Survivin) identified as negative prognostic factors in DLBCL of the immunocompetent patient. Out of 50 DLBCL, 23 cases (46%) had an Activated B Cell (ABC) phenotype, 8 (16%) a Germinal Centre B-cell (GCB) phenotype, and 11 (22%) an Unclassified (UC) phenotype. In 8 cases (16%) the subtype was not demonstrable due to sub-optimal preservation or loss of the tissue core. FISH analysis detected BCL2 gene amplification and MYC rearrangement. EBV was identified in 32 cases (64%) performing immunohistochemistry (LMP-1) and in situ hybridization (EBER). Clinical data and follow-up were available in all cases of malignant lymphomas but one. Thirty-two patients died for progression of disease or complications related to transplant (bleeding, bacterial infections, and multi-organ failure); 17 patients are actually alive and disease-free. M-PTLD are aggressive lymphomas characterized by very poor outcome. The neoplastic process is stimulated by a prolonged immunosuppressive status which is capable to induce alterations of the immune system and allow EBV reactivation in previously infected patients. Indeed EBV infection seems to be the most significant risk factor to predict the development of a PTLD while age, sex, site of involvement and type of transplant do not have significant correlation. Furthermore DLBCL arisen in a setting of immunodeficiency share phenotypic and molecular features with DLBCL of the immunocompetent patient. In particular, the former shows a high incidence of BCL2 gene amplification and this aberration typically correlates with “non-GCB” phenotype. Also M-PTLD do express prognostic markers (PKC-β, cyclin D2, FOXP-1, and Survivin): notably, in our study, PKC-β and FOXP-1 were frequently expressed and they were predictive of a shorter overall survival even in lymphomas recognized to have a good prognosis (GCB-type). Given the fact that such molecules are detectable at the time of the diagnosis, we postulate whether a “tailored” or more specific therapy might be applied in the management of the immune-compromised patient.

Analisi genetico-molecolare dei linfomi a cellule T periferiche

Molecular profiling of Peripheral T-cell lymphomas not otherwise specified Peripheral T-cell lymphomas (PTCLs) are a heterogeneous group of tumors that the WHO classification basically subdivides into specified and not otherwise specified (NOS). In Western countries, they represent around 12% of all non-Hodgkin's lymphomas. In particular, PTCL/NOS is the commonest subtype, corresponding to about 60-70% of all T-cell lymphomas. However, it remains a complex entity showing great variety regarding either morphology, immunophenotype or clinical behavior. Specially, the molecular pathology of these tumors is still poorly known. In fact, many alteration were found, but no single genes were demonstrated to have a pathogenetic role. Recently, gene expression profiling (GEP) allowed the identification of PTCL/NOS-associated molecular signatures, leading to better understanding of their histogenesis, pathogenesis and prognostication. Interestingly, proliferation pathways are commonly altered in PTCLs, being highly proliferative cases characterized by poorer prognosis. In this study, we aimed to investigate the possible role in PTCL/NOS pathogenesis of selected molecules, known to be relevant for proliferation control. In particular, we analyzed the cell cycle regulators PTEN and CDKN1B/p27, the NF-kB pathway, and the tyrosin kinase PDGFR. First, we found that PTEN and p27 seem to be regulated in PTCL/NOS as in normal T-lymphocytes, as to what expression and cellular localization are concerned, and do not present structural abnormalities in the vast majority of PTCL/NOS. Secondly, NF-kB pathway appeared to be variably activated in PTCL/NOS. In particular, according to NF-kB gene expression levels, the tumors could be divided into two clusters (C1 and C2). Specially, C1 corresponded to cases presenting with a global down-regulation of the entire pathway, while C2 showed over-expression of genes involved in TNF signaling. Notably, by immunohistochemistry, we showed that either the canonical or the alternative NK-kB pathway were activated in around 40% of cases. Finally, we found PGDFRA to be consistently over-expressed (at mRNA and protein level) and activated in almost all PTCLs/NOS. Noteworthy, when investigating possible causes for PDGFRA deregulation, we had evidences that PDGFR over-expression is due to the absence of miR-152, which appeared to be responsible for PDGFRA silencing in normal T-cells. Furthermore, we could demonstrate that its aberrant activation is sustained by an autocrine loop. Importantly, this is the first case, to the best of our knowledge, of hematological tumor in which tyrosin kinase aberrant activity is determined by deregulated miRNA expression and autocrine loop activation. Taken together, our results provide novel insight in PTCL/NOS pathogenesis by opening new intriguing scenarios for innovative therapeutic interventions.

Mining tissue microarray data to uncover combinations of biomarker expression patterns that improve intermediate staging and grading of clear cell renal cell cancer

PURPOSE: Tumor stage and nuclear grade are the most important prognostic parameters of clear cell renal cell carcinoma (ccRCC). The progression risk of ccRCC remains difficult to predict particularly for tumors with organ-confined stage and intermediate differentiation grade. Elucidating molecular pathways deregulated in ccRCC may point to novel prognostic parameters that facilitate planning of therapeutic approaches. EXPERIMENTAL DESIGN: Using tissue microarrays, expression patterns of 15 different proteins were evaluated in over 800 ccRCC patients to analyze pathways reported to be physiologically controlled by the tumor suppressors von Hippel-Lindau protein and phosphatase and tensin homologue (PTEN). Tumor staging and grading were improved by performing variable selection using Cox regression and a recursive bootstrap elimination scheme. RESULTS: Patients with pT2 and pT3 tumors that were p27 and CAIX positive had a better outcome than those with all remaining marker combinations. A prolonged survival among patients with intermediate grade (grade 2) correlated with both nuclear p27 and cytoplasmic PTEN expression, as well as with inactive, nonphosphorylated ribosomal protein S6. By applying graphical log-linear modeling for over 700 ccRCC for which the molecular parameters were available, only a weak conditional dependence existed between the expression of p27, PTEN, CAIX, and p-S6, suggesting that the dysregulation of several independent pathways are crucial for tumor progression. CONCLUSIONS: The use of recursive bootstrap elimination, as well as graphical log-linear modeling for comprehensive tissue microarray (TMA) data analysis allows the unraveling of complex molecular contexts and may improve predictive evaluations for patients with advanced renal cancer.