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1.
Tuberk Toraks ; 67(3): 197-204, 2019 Sep.
Article in English | MEDLINE | ID: mdl-31709951

ABSTRACT

INTRODUCTION: The results of standard chemotherapy in lung cancer are not very satisfactory, so it is important to identify genetic mutations that provide targeted therapies. Recent reports have suggested influences of racial difference on the frequency of mutation in lung cancer. We aimed to determine the frequency and regional distribution of genetic mutations of non-small cell lung cancer (NSCLC) in Turkey. MATERIALS AND METHODS: Regional distribution of genetic mutations in lung cancer in Turkey (REDIGMA) study was carried out as a prospective, cross-sectional, observational study in a large number of centers in which lung cancer patients were followed and could perform genetic mutation analysis on patients' biopsy materials. RESULT: The 703 patients (77.7% male, mean age 63.3 ± 12.5 years) who were diagnosed as NSCLC from 25 different centers were included in the study. Tumor samples from patients were reported as 87.1% adenocarcinoma, 6.4% squamous cell carcinoma and 6.5% other. Mutation tests were found to be positive in 18.9% of these patients. The mutations were 69.9% EGFR, 26.3% ALK, 1.6% ROS and 2.2% PDL. Mutations were higher in women and non-smokers (p<0.000, p<0.001). Again, the frequency of mutations in adenocarcinoma was higher in metastatic disease. There was no difference between the patient's age, area of residence, comorbidity and clinical stage and mutation frequency. CONCLUSIONS: Our study revealed that the EGFR mutation rate in Turkey with NSCLC was similar to East European, African-American and Caucasian patients, and was lower than in East Asia.


Subject(s)
Adenocarcinoma/genetics , Carcinoma, Large Cell/genetics , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Squamous Cell/genetics , Lung Neoplasms/genetics , Adenocarcinoma/pathology , Aged , Carcinoma, Large Cell/pathology , Carcinoma, Non-Small-Cell Lung/pathology , Carcinoma, Squamous Cell/pathology , Cross-Sectional Studies , ErbB Receptors/genetics , Female , Humans , Lung Neoplasms/pathology , Male , Middle Aged , Mutation , Neoplasm Staging , Prospective Studies , Turkey
2.
Tuberk Toraks ; 64(3): 206-210, 2016 Sep.
Article in English | MEDLINE | ID: mdl-28393727

ABSTRACT

INTRODUCTION: Because studies report controversial findings of mean platelet volume (MPV) and platelet distribution width (PDW), we aimed to investigate platelet indices in patients with obstructive sleep apnea (OSA). MATERIALS AND METHODS: One hundred seventy three patients with OSA and 43 control subjects included in analyses. Patients with an apnea-hypopnea index (AHI) ≥ 5 were considered to have OSA and an AHI < 5 were considered as control. Platelet indices (MPV, PDW, plateletcrit) were obtained from routine analysis of blood samples using an automated blood cell counter. RESULT: Among platelet indices, only PDW was higher in patients with OSA, especially in severe OSA when compared to control group (16.80 ± 0.56 vs. 16.21 ± 1.51, p= 0.015 and 16.82 ± 0.06 vs.16.21 ± 1.51, p= 0.014, respectively). Correlation analysis showed a significant but a weak correlation between the PDW and AHI (r= 0.161, p= 0.018) and the PDW and the desaturation index (r= 0.171, p= 0.016). The ROC curve analysis showed that the optimal cut-off value, distinguishing patients with OSA from those in control group, for PDW was 16.62 (sensitivity 57.8%, specificity 58.1%, AUROC 0.60, p= 0.042). After the exclusion of patients with comorbid diseases (cardiovascular diseases, diabetes mellitus and chronic inflammatory diseases), we also found weak but a significant correlation between PDW and AHI (r= 0.179, p= 0.040). CONCLUSIONS: In conclusion, among the platelet indices, only PDW was found to be higher in patients with OSA, especially in severe OSA. PDW was also correlated with apnea-hypopnea index and oxygen desaturation index.


Subject(s)
Mean Platelet Volume , Sleep Apnea, Obstructive/blood , Adult , Biomarkers/analysis , Blood Platelets/physiology , Case-Control Studies , Female , Humans , Male , Middle Aged , Platelet Count , Polysomnography , ROC Curve , Sensitivity and Specificity , Sleep Stages/physiology
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