MGMT testing-the challenges for biomarker-based glioma treatment.

Many patients with malignant gliomas do not respond to alkylating agent chemotherapy. Alkylator resistance of glioma cells is mainly mediated by the DNA repair enzyme O(6)-methylguanine-DNA methyltransferase (MGMT). Epigenetic silencing of the MGMT gene by promoter methylation in glioma cells compromises this DNA repair mechanism and increases chemosensitivity. MGMT promoter methylation is, therefore, a strong prognostic biomarker in paediatric and adult patients with glioblastoma treated with temozolomide. Notably, elderly patients (>65-70 years) with glioblastoma whose tumours lack MGMT promoter methylation derive minimal benefit from such chemotherapy. Thus, MGMT promoter methylation status has become a frequently requested laboratory test in neuro-oncology. This Review presents current data on the prognostic and predictive relevance of MGMT testing, discusses clinical trials that have used MGMT status to select participants, evaluates known issues concerning the molecular testing procedure, and addresses the necessity for molecular-context-dependent interpretation of MGMT test results. Whether MGMT promoter methylation testing should be offered to all individuals with glioblastoma, or only to elderly patients and those in clinical trials, is also discussed. Justifications for withholding alkylating agent chemotherapy in patients with MGMT-unmethylated glioblastomas outside clinical trials, and the potential role for MGMT testing in other gliomas, are also discussed.

Phosphorylation regulates the microtubule-destabilizing activity of stathmin and its interaction with tubulin.

Stathmin is a regulator of microtubule dynamics which undergoes extensive phosphorylation during the cell cycle as well as in response to various extracellular factors. Four serine residues are targets for protein kinases: Ser-25 and Ser-38 for proline-directed kinases such as mitogen-activated protein kinase and cyclin-dependent protein kinase, and Ser-16 and Ser-63 for cAMP-dependent protein kinase. We studied the effect of phosphorylation on the microtubule-destabilizing activity of stathmin and on its interaction with tubulin in vitro. We show that triple phosphorylation on Ser-16, Ser-25, and Ser-38 efficiently inhibits its activity and prevents its binding to tubulin.

HIV Testing Practices by Clinical Service before and after Revised Testing Guidelines in a Swiss University Hospital.

OBJECTIVES: To determine 1) HIV testing practices in a 1400-bed university hospital where local HIV prevalence is 0.4% and 2) the effect on testing practices of national HIV testing guidelines, revised in March 2010, recommending Physician-Initiated Counselling and Testing (PICT). METHODS: Using 2 hospital databases, we determined the number of HIV tests performed by selected clinical services, and the number of patients tested as a percentage of the number seen per service ('testing rate'). To explore the effect of the revised national guidelines, we examined testing rates for two years pre- and two years post-PICT guideline publication. RESULTS: Combining the clinical services, 253,178 patients were seen and 9,183 tests were performed (of which 80 tested positive, 0.9%) in the four-year study period. The emergency department (ED) performed the second highest number of tests, but had the lowest testing rates (0.9-1.1%). Of inpatient services, neurology and psychiatry had higher testing rates than internal medicine (19.7% and 9.6% versus 8%, respectively). There was no significant increase in testing rates, either globally or in the majority of the clinical services examined, and no increase in new HIV diagnoses post-PICT recommendations. CONCLUSIONS: Using a simple two-database tool, we observe no global improvement in HIV testing rates in our hospital following new national guidelines but do identify services where testing practices merit improvement. This study may show the limit of PICT strategies based on physician risk assessment, compared to the opt-out approach.

Études des forces d'interaction entre Staphylococcus aureus et fibrinogène par microscopie à force atomique

Ce travail s'inscrit dans le cadre d'un projet dont l'objectif est d'étudier les propriétés d'adhésion du ClfA au fibrinogène à l'aide de l'AFM. Plus précisément, le mode « Force spectroscopy » de l'AFM sera utilisé afin de mesurer les forces d'interactions entre le fibrinogène et le ClfA cloné à des bactéries ne comportant pas de MSCRAMMs et n'étant pas pathogène pour l'homme. Puis les forces d'interactions seront mesurées entre le fibrinogène et la surface des S. aureus. Une meilleure connaissance des propriétés d'adhésion des S. aureus au ClfA contribuerait ainsi au développement de la recherche dans ce domaine et à de potentielle future thérapie contre les infections à S. aureus.

Multivariate analyses of genotype x environment interaction of popcorn

The objectives of this work were to evaluate the genotype x environment (GxE) interaction for popcorn and to compare two multivariate analyses methods. Nine popcorn cultivars were sown on four dates one month apart during each of the agricultural years 1998/1999 and 1999/2000. The experiments were carried out using randomized block designs, with four replicates. The cv. Zélia contributed the least to the GxE interaction. The cv. Viçosa performed similarly to cv. Rosa-claro. Optimization of GxE was obtained for cv. CMS 42 for a favorable mega-environment, and for cv. CMS 43 for an unfavorable environment. Multivariate analysis supported the results from the method of Eberhart & Russell. The graphic analysis of the Additive Main effects and Multiplicative Interaction (AMMI) model was simple, allowing conclusions to be made about stability, genotypic performance, genetic divergence between cultivars, and the environments that optimize cultivar performance. The graphic analysis of the Genotype main effects and Genotype x Environment interaction (GGE) method added to AMMI information on environmental stratification, defining mega-environments and the cultivars that optimized performance in those mega-environments. Both methods are adequate to explain the genotype x environment interactions.