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The evaluation of DCLK1 promoter region methylation may be useful in both early diagnosis and prediction of the course of lung cancer.

BackgroundThis study aimed to examine the distribution of predefined phenotypes, demographic data, clinical outcomes, and treatment of patients who were included in the Polish cohort of the Phenotypes of COPD in Central and Eastern Europe (POPE) study.Patients and methodsThis was a sub-analysis of the data from the Polish cohort of the POPE study, an international, multicenter, observational cross-sectional survey of COPD patients in Central and Eastern European countries. The study included patients aged >40 years, with a confirmed diagnosis of COPD, and absence of exacerbation for at least 4 weeks before study inclusion. A total of seven Polish centers participated in the study.ResultsAmong the 430 Polish COPD patients enrolled in the study, 61.6% were non-exacerbators (NON-AE), 25.3% were frequent exacerbators with chronic bronchitis (AE CB), 7.9% were frequent exacerbators without chronic bronchitis (AE NON-CB), and 5.1% met the definition of asthma-COPD overlap syndrome (ACOS). There were statistically significant differences among these phenotypes in terms of symptom load, lung function, comorbidities, and treatment. Patients with the AE CB phenotype were most symptomatic with worse lung function, and more frequently reported anxiety and depression. Patients with the ACOS phenotype were significantly younger and were diagnosed with COPD earlier than those with other COPD phenotypes; those with the ACOS phenotype were also more often atopic and obese.ConclusionThere is significant heterogeneity among COPD patients in the Polish population in terms of phenotype and clinical outcome. The non-exacerbator phenotype is observed most frequently in Poland, while the frequent exacerbator with chronic bronchitis phenotype is the most symptomatic.

Aberrant expression of microRNAs (miRNAs) in cancer patients compared to healthy people as well as possibility of detection of these molecules in blood samples make them potential biomarkers of various cancers. In the present study, we investigated the potential role of four miRNAs as lung cancer (LC) biomarkers: miRNA-448, 506, 4316, and 4478. Using quantitative reverse transcription polymerase chain reaction (qRT-PCR) technique, we assessed expression of studied miRNAs in plasma samples of 90 lung cancer patients and 85 healthy individuals. Receiver operating curves (ROC) with area under the curve (AUC) were used to assess accuracy of studied miRNAs for distinguishing LC patients from healthy individuals. The miRNA-448 and 4478 were significantly overexpressed in lung cancer patients compared to healthy people and these two molecules were qualified for further analysis. Combination ROC analysis of both biomarkers reached 90 % of sensitivity and 76.3 % of specificity (AUC = 0.896) for distinguishing operable (stage IA-IIB) non-small cell lung cancer (NSCLC) patients from healthy subjects. Our results suggest that the examination of miRNAs could be considered as potential lung cancer, non-invasive biomarkers.

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