Exome, transcriptome and miRNA analysis don't reveal any molecular markers of TKI efficacy in primary CML patients.

BACKGROUND: Approximately 5-20% of chronic myeloid leukemia (CML) patients demonstrate primary resistance or intolerance to imatinib. None of the existing predictive scores gives a good prognosis of TKI efficacy. Gene polymorphisms, expression and microRNAs are known to be involved in the pathogenesis of TKI resistance in CML. The aim of our study is to find new molecular markers of TKI therapy efficacy in CML patients. METHODS: Newly diagnosed patients with Ph+ CML in chronic phase were included in this study. Optimal and non-optimal responses to TKI were estimated according to ELN 2013 recommendation. We performed genotyping of selected polymorphisms in 62 blood samples of CML patients, expression profiling of 33 RNA samples extracted from blood and miRNA profiling of 800 miRNA in 12 blood samples of CML patients. RESULTS: The frequencies of genotypes at the studied loci did not differ between groups of patients with an optimal and non-optimal response to TKI therapy. Analysis of the expression of 34,681 genes revealed 26 differently expressed genes (p < 0.05) in groups of patients with different TKI responses, but differences were very small and were not confirmed by qPCR. Finally, we did not find difference in miRNA expression between the groups. CONCLUSIONS: Using modern high-throughput methods such as whole-exome sequencing, transcriptome and miRNA analysis, we could not find reliable molecular markers for early prediction of TKI efficiency in Ph+ CML patients.

Prospective investigation of applicability and the prognostic significance of bone marrow involvement in patients with neuroblastoma detected by quantitative reverse transcription PCR.

BACKGROUND: Detection of bone marrow (BM) involvement in patients with neuroblastoma is crucial for staging and defining prognosis. Furthermore, the persistence of residual tumor cells in the BM is associated with an unfavorable outcome. METHODS: Expression of PHOX2B, TH, ELAVL4, and B4GALNT1 (GD2-synthase) was analyzed by quantitative polymerase chain reaction in neuroblastoma cell lines, control BM samples, and in BM samples from patients. The threshold level of expression for each gene was established through receiver operator characteristic analysis and used to determine the diagnostic test performance. The prognostic significance of BM involvement was assessed by survival rates calculations. The median of follow-up time was 36.1 months. RESULTS: Neither PHOX2B nor TH expression was detected in control BM, while expression of ELAVL4 was found in 20 (76.9%) and GD2-synthase in 15 (57.7%) of 26 samples. The overall correct predictive value for TH, ELAVL4, and GD2-synthase, based on thresholds levels, was 0.952, 0.828, and 0.767, respectively, whereas the overall correct predictive value for PHOX2B was 0.994. The PHOX2B/TH expression in diagnostic BM of patients with neuroblastoma corresponded with a decreased survival rate (P < 0.001) in the total cohort and in different risk groups. Predominance of normalized expression of PHOX2B over TH > 1.68 in the diagnostic BM samples demonstrated an adverse prognostic effect (P = 0.006). Persistence of PHOX2B/TH expression in the BM during and after induction chemotherapy resulted in dismal outcome (P = 0.022 and P = 0.012). CONCLUSION: PHOX2B and TH are the most optimal markers for detection of BM involvement, allowing identification of high-risk patients. Predominance of PHOX2B expression over TH has a strong adverse prognostic impact.