Background Chromodomain helicase DNA binding protein 5 (CHD5) is a new tumor suppressor gene in various types of cancer. And it is still not clear about the role of CHD5 in lung cancer. In this study, we aim to assess diagnostic value of CHD5 in patients with lung cancer. Methods CHD5 expression in 108 lung cancer serum samples and 65 healthy controls were determined by quantitative Real-Time PCR (qRT-PCR). A receiver operating characteristic (ROC) curve was established to analyze the effect of CHD5 in the diagnosis of lung cancer. Results The expression of CHD5 was significantly decreased in lung cancer samples compared with the healthy controls (P < 0.0001). Advanced TNM stage (P = 0.020), gender (P = 0.001) and smoking history (P = 0.000) were associated with the decreased CHD5 expression. Besides, the results of ROC analysis showed that the area under ROC curve (AUC) was 0.855 with a sensitivity of 87.1% and a specificity of 81.3%. Conclusions In conclusion, this study suggested that CHD5 expression is down-regulated in lung cancer. Furthermore, CHD5 expression could be a potential diagnosis bio-marker in lung cancer patients.

Background: Lung cancer is one of the most common causes of cancer death among all the malignancies worldwide. Evidences suggest that the incidence and mortality of lung cancer has been on the rise. MicroRNA-449a (miR-449a) as one important member of microRNAs, has been demonstrated acting as a tumor suppressor in lung cancer. In this study, we sought to assess the relationship between miR-449a expression level and diagnostic value of lung cancer.Methods: In this present research, quantitative Real-Time PCR was applied to detect the miR-449a expression in 116 lung cancer patients and 41 healthy volunteers. The diagnostic value of miR-449a in lung cancer patients was determined by receiver operating characteristic (ROC) curve.Results: MiR-449a was significantly down-regulated in lung cancer patients compared with healthy control (P<0.05). In addition, miR-449a expression was associated with sex (P=0.004), tumor size (P=0.000), TNM stage (P=0.006) and metastasis (P=0.036). However, there was no correlation with age, smoking history and histological type of lung cancer patients (all P＞0.05). In the ROC analysis, the results showed that the area under the ROC curve (AUC) was 0.902 with the sensitivity of 94.8% and specificity of 78.0%, and the optimum cutoff value was 2.255.Conclusion: MiR-449a expression was down-regulated in lung cancer patients, and it could be an efficient diagnostic biomarker in lung cancer patients.