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Biomedical subjects

Cristina Romero

Publications and source records attributed to Cristina Romero.

4 recordsLinked to original sources

Patterns of mental health service utilisation in Italy and Spain--an investigation using the European Service Mapping Schedule.

BACKGROUND: Methods for comparing local mental health service systems are needed to allow identification of different patterns of service provision and of inequities within and between countries. AIM: The aim of this study was to describe and compare mental health service systems in 13 catchment areas in Spain and Italy. Within each country, a range of area characteristics was represented. METHOD: The European Service Mapping Schedule (ESMS) and European Socio-Demographic Schedule (ESDS) were used to describe: (i) socio-demographic and geographical area characteristics; (ii) services provided; and (iii) service utilisation in each area. RESULTS: Great differences emerged in patterns of service provision and use between and within countries. In contrast to Northern Europe, high unemployment rates were not associated with high service utilisation rates, but areas with large numbers of single-person households tended to have high service use. Most service utilisation rates were substantially below those reported from Northern European studies. Spanish centres tended to have low rates of hospital service utilisation despite limited development of community-based services. Trieste, where there has been a strong emphasis on developing innovative community services, showed a distinctive pattern with low hospital bed use and high rates of day service use and of contacts in the community. CONCLUSION: This methodology yielded useful data, which raise significant questions regarding equity and the implementation of mental health policy. The very large variations indicate that underlying local patterns of service provision must be investigated and taken into account in the interpretation of research evaluations of interventions.

Cross-Cultural Comparison↗

Building an outcome predictor model for diffuse large B-cell lymphoma.

Diffuse large B-cell lymphoma (DLBCL) patients are treated using relatively homogeneous protocols, irrespective of their biological and clinical variability. Here we have developed a protein-expression-based outcome predictor for DLBCL. Using tissue microarrays (TMAs), we have analyzed the expression of 52 selected molecules in a series of 152 DLBCLs. The study yielded relevant information concerning key biological aspects of this tumor, such as cell-cycle control and apoptosis. A biological predictor was built with a training group of 103 patients, and was validated with a blind set of 49 patients. The predictive model with 8 markers can identify the probability of failure for a given patient with 78% accuracy. After stratifying patients according to the predicted response under the logistic model, 92.3% patients below the 25 percentile were accurately predicted by this biological score as "failure-free" while 96.2% of those above the 75 percentile were correctly predicted as belonging to the "fatal or refractory disease" group. Combining this biological score and the International Prognostic Index (IPI) improves the capacity for predicting failure and survival. This predictor was then validated in the independent group. The protein-expression-based score complements the information obtained from the use of the IPI, allowing patients to be assigned to different risk categories.

Adolescent↗

Development of a real-time reverse transcription polymerase chain reaction assay for c-myc expression that allows the identification of a subset of c-myc+ diffuse large B-cell lymphoma.

Absence of a reliable method for determining the level of c-myc expression has impeded the analysis of its biological and clinical relevance in tumors. We have standardized the conditions for a real-time reverse transcription polymerase chain reaction analysis for c-myc expression, including the selection of an endogenous reference (18S rRNA), the adequate number of measurements for each sample (2 cDNA in triplicate), and suitable controls for determining inter- and intrarun variability (standard curve and calibrator). Subsequently, in a series of 56 non-Hodgkin's lymphomas, we analyzed the expression of c-myc mRNA, using real-time reverse transcription polymerase chain reaction, and of other functionally related proteins (bcl-6, p27, cyclin D3, and p53). As expected, all eight Burkitt's lymphoma cases analyzed had high levels of c-myc mRNA expression compared with that observed in reactive lymphoid tissue. There was a wider range of expression in diffuse large B-cell lymphoma, with 30% (15 of 48) of cases overexpressing c-myc. This overexpression was largely independent of c-myc translocations (4 of 5), as demonstrated by fluorescence in situ hybridization. In this large B-cell lymphoma series, a high level of c-myc expression predicted lower survival probability, irrespectively of the International Prognostic Index risk group classification. A slightly increased frequency of p53 inactivation was observed in the cases with c-myc overexpression, which suggests a growth advantage in lymphomas with concurrent deregulation of c-myc and p53. In addition, a moderate increase in bcl-6 protein expression was observed in the c-myc-positive cases, suggesting the existence of a complex interrelationship between these two genes. These findings suggest that c-myc may play a relevant role in the pathogenesis of a subset of large B-cell lymphoma and suggest the existence of additional regulatory mechanisms of c-myc expression to c-myc rearrangements.

B-Lymphocytes↗

A short mutational hot spot in the first intron of BCL-6 is associated with increased BCL-6 expression and with longer overall survival in large B-cell lymphomas.

BCL-6 somatic mutations have been described in normal and tumoral B lymphocytes, associated with germinal center transit. We analyzed mutations in the major mutation cluster of BCL-6 in a series of 45 large B-cell lymphomas (LBCLs) and 15 Burkitt's lymphomas, and their relation to the level of BCL-6 expression and clinical outcome. Mutations in LBCL cases revealed the existence of two distinct, short mutational hot spots, spanning positions 106 to 127 and 423 to 443, in which the mutation frequency was higher than expected (P < 0.001). Mutations in the 423 to 443 subcluster were associated with an increased level of expression, although this was not the case with the 106 to 127 cluster. Additionally, LBCL cases characterized by the presence of mutations in the 423 to 443 cluster showed an increased overall survival (P < 0.05) when compared with the nonmutated LBCL cases in these positions. Burkitt's lymphoma cases showed a slightly lower frequency of mutations with a nonclustered distribution and lacked any relationship with the level of expression or any clinical characteristic. Findings from LBCLs suggest that the 423 to 443 cluster includes a regulatory region that is of importance for BCL-6 expression. Deregulation of BCL-6 expression caused by these mutations could play an important role in lymphoma genesis or progression.

DNA-Binding Proteins↗