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.

HOTAIR long non-coding RNA is a negative prognostic factor not only in primary tumors, but also in the blood of colorectal cancer patients.

Colorectal cancer (CRC) is one of the main causes of death of neoplasia. Demand for predictive and prognostic markers to reverse this trend is increasing. Long non-coding RNA HOTAIR (Homeobox Transcript Antisense Intergenic RNA) overexpression in tumors was previously associated with poor prognosis and higher mortality in different carcinomas. We analyzed HOTAIR expression levels in tumor and blood of incident sporadic CRC patients in relation to their overall survival with the aim to evaluate surrogate prognostic marker for CRC. Tissue donor group consisted of 73 CRC patients sampled for tumor and normal tissue. Blood donor group was represented by 84 CRC patients compared with 40 healthy controls. Patients were characterized for tumor-node-metastasis stage, tumor grade, microsatellite instability and tumor penetration by stromal cells. HOTAIR levels were assessed by real-time quantitative PCR. CRC patients had higher HOTAIR expression in blood than healthy controls (P = 0.0001), whereas there was no difference in HOTAIR levels between tumor and adjacent mucosa of CRC patients. HOTAIR levels positively correlated between blood and tumor (R = 0.43, P = 0.03). High HOTAIR levels in tumors were associated with higher mortality of patients [Cox's proportional hazard, hazard ratio = 4.4, 95% confidence interval: 1.0-19.2, P = 0.046]. The hazard ratio was even higher when blood HOTAIR levels were taken into account (hazard ratio = 5.9, 95% confidence interval: 1.3-26.1, P = 0.019). Upregulated HOTAIR relative expression in primary tumors and in blood of CRC patients is associated with unfavorable prognosis. Our data suggest that HOTAIR blood levels may serve as potential surrogate prognostic marker in sporadic CRC.

Monitoring of minimal residual disease in acute myeloid leukemia with frequent and rare patient-specific NPM1 mutations.

Nucleophosmin (NPM1) mutations in exon 12 are the most common genetic alternation in cytogenetically normal AML (CN-AML). Although mutation types A, B, and D represent the majority of cases, rare mutation variants of the NPM1 gene in individual patients do occur. In this study, we have evaluated a novel, DNA-based real-time quantitative polymerase chain reaction (RQ-PCR) for the detection of three of the most commonly occurring mutations and for six rare patient-specific mutation types, which represent 28% of all of the NPM1 mutations in our group of 25 CN-AML patients. Furthermore, the prognostic relevance of NPM1-based monitoring of minimal residual disease (MRD) in peripheral blood (PB), bone marrow (BM), and in specific cell subsets (CD34(+), CD34(-), CD34(dim)) of BM were evaluated. In 80% of the evaluable patients, a molecular relapse preceded a hematological relapse. Moreover, in this subset of patients, the molecular relapse occurred at a median of 97 days before the hematological relapse. Our compartment analysis showed a strong correlation between BM and PB (r = 0.907, P < 0.001) as well as a high copy number of mutated NPM1 in CD34(+) BM cells. In conclusion, we have demonstrated applicability of our presented RQ-PCR method for a large percentage of mutated NPM1 patients with CN-AML as well as the usefulness for long-term follow-up monitoring of MRD and the prediction of hematological relapse.