Predictors of quality of life in Czech female breast cancer survivors following treatment with special interest to coping strategies.

OBJECTIVES: This study examined the prognostic significance of breast cancer patients characteristics (coping strategies, BMI, age) and disease characteristics (stage of disease, relapse) with respect to quality of life (QoL) following treatment.Sample and settings: 120 breast cancer patients following treatment were recruited. Health-related QoL was assessed using the Czech version of FACT-B and SF-36; additionally, we used a life satisfaction questionnaire. Coping strategies were assessed using the SVF-78 method. In our sample of women, the average time from diagnosis to start of the study was 5.3 years. STATISTICAL ANALYSIS: Factors influencing QoL after treatment were analysed with univariate and multivariate linear regression. RESULTS: Overall negative strategy defined in SVF-78 (Flight tendency, Resignation and Self-accusation) was found to be associated with lower scores of most components of used QoL methods, while Resignation was found as the most negatively influencing strategy. Active problem confrontation (Situation control and Positive self-instruction) was associated with better QoL. More advanced stages and recurrence were related to a significant decrease in QoL for certain components only. CONCLUSION: Our findings suggest a significant predictive power of disease-related factors and of patients characteristics including coping strategies for QoL following treatment in Czech breast cancer survivors.Key words: breast cancer survivors - coping strategy - linear regression model - quality of life prediction - resignation.

Characterization of pseudacyclins A-E, a suite of cyclic peptides produced by Pseudallescheria boydii.

Pseudallescheria boydii sensu lato is an emerging fungal pathogen causing fatal infections in both immunocompromised and immunocompetent hosts. In this work, two P. boydii isolates (human and animal origin) have been identified as being producers of cyclic peptides. Five putative nonribosomal peptides with a unique structure, which have been named pseudacyclins, were characterized by nuclear magnetic resonance spectroscopy and mass spectrometry. The most abundant representative of the pseudacyclins was quantified also on fungal spores. The presence of these peptides on inhaled fungal spores creates the possibility for exploitation of pseudacyclins as early indicators of fungal infections caused by Pseudallescheria species.