Agricultura familiar e políticas públicas: o impacto do Pronaf no Rio Grande do Sul.

A aparição do Programa Nacional de Fortalecimento da Agricultura Familiar (PRONAF) marca um momento singular na trajetória do processo de intervenção estatal na agricultura e no mundo rural do Brasil. Apesar de avanços no aperfeiçoamento e ampliação do universo de cobertura, o programa permanece ancorado numa ambigüidade básica tanto em termos do público-alvo a ser beneficiado quanto aos objetivos essenciais que persegue, onde, na retórica oficial, mesclam-se orientações tipicamente produtivistas com compromissos mais amplos, como a geração de empregos, a inclusão social e o desenvolvimento territorial. O artigo em questão desenvolve uma análise do PRONAF à luz de recente pesquisa realizada no Estado do Rio Grande do Sul, inserida no contexto de um convênio firmado entre o PCT/IICA-PRONAF e a Fundação de Economia de Campinas - FECAMP para montar um sistema de acompanhamento das ações do Ministério do Desenvolvimento Agrário e avaliar os impactos deste programa. Os dados finais mostram fortes evidências de diferenciação social dentre os produtores familiares

Association of MC1R Variants and host phenotypes with melanoma risk in CDKN2A mutation carriers: a GenoMEL study

<p><b>Background</b> Carrying the cyclin-dependent kinase inhibitor 2A (CDKN2A) germline mutations is associated with a high risk for melanoma. Penetrance of CDKN2A mutations is modified by pigmentation characteristics, nevus phenotypes, and some variants of the melanocortin-1 receptor gene (MC1R), which is known to have a role in the pigmentation process. However, investigation of the associations of both MC1R variants and host phenotypes with melanoma risk has been limited.</p> <p><b>Methods</b> We included 815 CDKN2A mutation carriers (473 affected, and 342 unaffected, with melanoma) from 186 families from 15 centers in Europe, North America, and Australia who participated in the Melanoma Genetics Consortium. In this family-based study, we assessed the associations of the four most frequent MC1R variants (V60L, V92M, R151C, and R160W) and the number of variants (1, ≥2 variants), alone or jointly with the host phenotypes (hair color, propensity to sunburn, and number of nevi), with melanoma risk in CDKN2A mutation carriers. These associations were estimated and tested using generalized estimating equations. All statistical tests were two-sided.</p> <p><b>Results</b> Carrying any one of the four most frequent MC1R variants (V60L, V92M, R151C, R160W) in CDKN2A mutation carriers was associated with a statistically significantly increased risk for melanoma across all continents (1.24 × 10−6 ≤ P ≤ .0007). A consistent pattern of increase in melanoma risk was also associated with increase in number of MC1R variants. The risk of melanoma associated with at least two MC1R variants was 2.6-fold higher than the risk associated with only one variant (odds ratio = 5.83 [95% confidence interval = 3.60 to 9.46] vs 2.25 [95% confidence interval = 1.44 to 3.52]; Ptrend = 1.86 × 10−8). The joint analysis of MC1R variants and host phenotypes showed statistically significant associations of melanoma risk, together with MC1R variants (.0001 ≤ P ≤ .04), hair color (.006 ≤ P ≤ .06), and number of nevi (6.9 × 10−6 ≤ P ≤ .02).</p> <p><b>Conclusion</b> Results show that MC1R variants, hair color, and number of nevi were jointly associated with melanoma risk in CDKN2A mutation carriers. This joint association may have important consequences for risk assessments in familial settings.</p&gt

A proposed prognostic 7-day survival formula for patients with terminal cancer

<p>Abstract</p> <p>Background</p> <p>The ability to identify patients for hospice care results in better end-of-life care. To develop a validated prognostic scale for 7-day survival prediction, a prospective observational cohort study was made of patients with terminal cancer.</p> <p>Methods</p> <p>Patient data gathered within 24 hours of hospital admission included demographics, clinical signs and symptoms and their severity, laboratory test results, and subsequent survival data. Of 727 patients enrolled, data from 374 (training group) was used to develop a prognostic tool, with the other 353 serving as the validation group.</p> <p>Results</p> <p>Five predictors identified by multivariate logistic regression analysis included patient's cognitive status, edema, ECOG performance status, BUN and respiratory rate. A formula of the predictor model based on those five predictors was constructed. When probability was >0.2, death within 7 days was predicted in the training group and validation group, with sensitivity of 80.9% and 71.0%, specificity of 65.9% and 57.7%, positive predictive value of 42.6% and 26.8%, and negative predictive value (NPV) of 91.7% and 90.1%, respectively.</p> <p>Conclusion</p> <p>This predictor model showed a relatively high sensitivity and NPV for predicting 7-day survival among terminal cancer patients, and could increase patient satisfaction by improving end-of-life care.</p

Prognostic value of performance status assessed by patients themselves, nurses, and oncologists in advanced non-small cell lung cancer

Accuracy in the assessment of performance status by oncologists has not been well evaluated. We investigated possible discrepancies in the assessment of performance status among patients, nurses, and oncologists, and evaluated the prognostic importance of each assessment. Two hundred and six inpatients with inoperable, advanced non-small cell lung cancer were investigated prospectively. Weighted Kappa statistics for inter-observer agreement were 0.53 between oncologists and patients and 0.63 between oncologists and nurses. There was a significant difference among the assessments by the three groups (P < 0.001). Oncologists gave the healthiest performance status assessment, nurses an intermediate assessment, and patients the poorest. When included separately in the Cox model, the assessment by each group was significantly correlated with survival. However, the assessment by the patients themselves failed to distinguish survival of patients with performance status 1 and 2. Among the three models including patient-, nurse-, and oncologist-assessed PS, that including oncologist-assessed PS best fitted to the observed survival data. These results showed that the assessment by the patients themselves is different from those by the nurses and the oncologists and provided additional support for the use of the assessment by oncologists in clinical oncology. © 2001 Cancer Research Campaign http://www.bjcancer.co

Pathway-Based Analysis of a Melanoma Genome-Wide Association Study: Analysis of Genes Related to Tumour-Immunosuppression

Systemic immunosuppression is a risk factor for melanoma, and sunburn-induced immunosuppression is thought to be causal. Genes in immunosuppression pathways are therefore candidate melanoma-susceptibility genes. If variants within these genes individually have a small effect on disease risk, the association may be undetected in genome-wide association (GWA) studies due to low power to reach a high significance level. Pathway-based approaches have been suggested as a method of incorporating a priori knowledge into the analysis of GWA studies. In this study, the association of 1113 single nucleotide polymorphisms (SNPs) in 43 genes (39 genomic regions) related to immunosuppression have been analysed using a gene-set approach in 1539 melanoma cases and 3917 controls from the GenoMEL consortium GWA study. The association between melanoma susceptibility and the whole set of tumour-immunosuppression genes, and also predefined functional subgroups of genes, was considered. The analysis was based on a measure formed by summing the evidence from the most significant SNP in each gene, and significance was evaluated empirically by case-control label permutation. An association was found between melanoma and the complete set of genes (pemp = 0.002), as well as the subgroups related to the generation of tolerogenic dendritic cells (pemp = 0.006) and secretion of suppressive factors (pemp = 0.0004), thus providing preliminary evidence of involvement of tumour-immunosuppression gene polymorphisms in melanoma susceptibility. The analysis was repeated on a second phase of the GenoMEL study, which showed no evidence of an association. As one of the first attempts to replicate a pathway-level association, our results suggest that low power and heterogeneity may present challenges