The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets to generate predictive models for classifying a sample with respect to one of 13 endpoints indicative of lung or liver toxicity in rodents, or of breast cancer, multiple myeloma or neuroblastoma in humans. In total, >30,000 models were built using many combinations of analytical methods. The teams generated predictive models without knowing the biological meaning of some of the endpoints and, to mimic clinical reality, tested the models on data that had not been used for training. We found that model performance depended largely on the endpoint and team proficiency and that different approaches generated models of similar performance. The conclusions and recommendations from MAQC-II should be useful for regulatory agencies, study committees and independent investigators that evaluate methods for global gene expression analysis.

Differences in therapeutic alliance when working with an interpreter: a preliminary study

This preliminary study aims to analyze the therapeutic alliance in a crosscultural triadic setting, where there is a therapist and a client who speak a different language but are able to interact thanks to an interpreter/cultural mediator. The participants' (therapists, clients, interpreters) representations associated with the notion of therapeutic alliance, and the level of alliance between each group was obtained and compared. Clients (N = 9) were all from Albanese origin. The results show that the three groups of participants give particular meanings to the alliance and tend to evaluate their alliance level differently. The interpreter's mediating role in the construction of the therapeutic alliance is discussed.