Limits...
Deregulation of serum microRNA expression is associated with cigarette smoking and lung cancer.

Huang J, Wu J, Li Y, Li X, Yang T, Yang Q, Jiang Y - Biomed Res Int (2014)

Bottom Line: The differentially expressed miRNAs were then confirmed in a larger sample.We found that let-7i-3p and miR-154-5p were significantly downregulated in the sera of smokers and lung-cancer patients, so the serum levels of let-7i-3p and miR-154-5p are associated with smoking and smoking-related lung cancer.The areas under receiver operating characteristic curves for let-7i-3p and miR-154-5p were approximately 0.892 and 0.957, respectively.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Respiratory Diseases, Institute for Chemical Carcinogenesis, Guangzhou Medical University, 195 Dongfeng Road West, Guangzhou 510182, China ; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.

ABSTRACT
Lung cancer is the leading cause of cancer-related death and cigarette smoking is the main risk factor for lung cancer. Circulating microRNAs (miRNAs) are considered potential biomarkers of various cancers, including lung cancer. However, it is unclear whether changes in circulating miRNAs are associated with smoking and smoking-related lung cancer. In this study, we determined the serum miRNA profiles of 10 nonsmokers, 10 smokers, and 10 lung-cancer patients with miRCURY LNA microRNA arrays. The differentially expressed miRNAs were then confirmed in a larger sample. We found that let-7i-3p and miR-154-5p were significantly downregulated in the sera of smokers and lung-cancer patients, so the serum levels of let-7i-3p and miR-154-5p are associated with smoking and smoking-related lung cancer. The areas under receiver operating characteristic curves for let-7i-3p and miR-154-5p were approximately 0.892 and 0.957, respectively. In conclusion, our results indicate that changes in serum miRNAs are associated with cigarette smoking and lung cancer and that let-7i-3p and miR-154-5p are potential biomarkers of smoking-related lung cancer.

Show MeSH

Related in: MedlinePlus

Differential expression profiles of 448 miRNAs in nonsmoker controls (C), smokers (S), and lung-cancer patients (T). (a) Scatter plot of S versus C; (b) scatter plot of T versus C; (c) scatter plot of T versus S. Central diagonal line and two outer diagonal lines in each panel represent the unchanged line and the threefold variation intervals line, respectively; (d) Venn diagram of the 448 differentially expressed miRNAs. Blue represents the differentially expressed miRNAs in S versus C; yellow represents the differentially expressed miRNAs in T versus C; brown represents the differentially expressed miRNAs in T versus S. 85 miRNAs were dysregulated in both S versus C and T versus C. The smallest differences in miRNA expression were in the comparisons T versus S and S versus C.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4217347&req=5

fig2: Differential expression profiles of 448 miRNAs in nonsmoker controls (C), smokers (S), and lung-cancer patients (T). (a) Scatter plot of S versus C; (b) scatter plot of T versus C; (c) scatter plot of T versus S. Central diagonal line and two outer diagonal lines in each panel represent the unchanged line and the threefold variation intervals line, respectively; (d) Venn diagram of the 448 differentially expressed miRNAs. Blue represents the differentially expressed miRNAs in S versus C; yellow represents the differentially expressed miRNAs in T versus C; brown represents the differentially expressed miRNAs in T versus S. 85 miRNAs were dysregulated in both S versus C and T versus C. The smallest differences in miRNA expression were in the comparisons T versus S and S versus C.

Mentions: We determined the serum miRNA expression in 10 nonsmokers, 10 smokers, and 10 lung-cancer patients using the miRCURY LNA microRNA array. According to the manufacturer's recommendations, we set up the screening criteria for the differential expression of miRNAs as follows: (a) the average normalized intensities were less than 50; (b) the change in expression was more than threefold. In this way, 448 differentially expressed miRNAs were selected for the subsequent analyses. A heat map of the hierarchical clustering of the differentially expressed miRNAs is shown in Figure 1. Compared with the nonsmoker serum samples, the expression of 105 miRNAs was significantly altered in the serum samples of smokers. The expression of 32 and 73 candidate miRNAs was upregulated and downregulated, respectively (Figure 2(a)). Compared with the nonsmoker serum samples, the expression levels of 163 miRNAs were significantly altered in the lung-cancer patients. The expression of 74 and 89 candidate miRNAs was upregulated and downregulated, respectively (Figure 2(b)). Compared with the smokers, the expression of 73 candidate miRNAs was significantly altered in lung-cancer patients; 56 were upregulated and 17 downregulated (Figure 2(c)). As shown in Figure 2(d), compared with the nonsmokers' serum samples, 85 miRNAs were differentially expressed in both the lung-cancer patients' and smokers' serum samples. The 85 differentially expressed miRNAs accounted for 80.95% (85/105) of all differentially expressed miRNAs in the smokers and 52.15% (85/163) in the lung-cancer patients. Of these 85 miRNAs, the expression of 28 was upregulated and that of 57 was downregulated. To investigate the relationship between the serum miRNAs, smoking, and lung cancer, we screened these 85 miRNAs for candidate miRNAs.


Deregulation of serum microRNA expression is associated with cigarette smoking and lung cancer.

Huang J, Wu J, Li Y, Li X, Yang T, Yang Q, Jiang Y - Biomed Res Int (2014)

Differential expression profiles of 448 miRNAs in nonsmoker controls (C), smokers (S), and lung-cancer patients (T). (a) Scatter plot of S versus C; (b) scatter plot of T versus C; (c) scatter plot of T versus S. Central diagonal line and two outer diagonal lines in each panel represent the unchanged line and the threefold variation intervals line, respectively; (d) Venn diagram of the 448 differentially expressed miRNAs. Blue represents the differentially expressed miRNAs in S versus C; yellow represents the differentially expressed miRNAs in T versus C; brown represents the differentially expressed miRNAs in T versus S. 85 miRNAs were dysregulated in both S versus C and T versus C. The smallest differences in miRNA expression were in the comparisons T versus S and S versus C.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4217347&req=5

fig2: Differential expression profiles of 448 miRNAs in nonsmoker controls (C), smokers (S), and lung-cancer patients (T). (a) Scatter plot of S versus C; (b) scatter plot of T versus C; (c) scatter plot of T versus S. Central diagonal line and two outer diagonal lines in each panel represent the unchanged line and the threefold variation intervals line, respectively; (d) Venn diagram of the 448 differentially expressed miRNAs. Blue represents the differentially expressed miRNAs in S versus C; yellow represents the differentially expressed miRNAs in T versus C; brown represents the differentially expressed miRNAs in T versus S. 85 miRNAs were dysregulated in both S versus C and T versus C. The smallest differences in miRNA expression were in the comparisons T versus S and S versus C.
Mentions: We determined the serum miRNA expression in 10 nonsmokers, 10 smokers, and 10 lung-cancer patients using the miRCURY LNA microRNA array. According to the manufacturer's recommendations, we set up the screening criteria for the differential expression of miRNAs as follows: (a) the average normalized intensities were less than 50; (b) the change in expression was more than threefold. In this way, 448 differentially expressed miRNAs were selected for the subsequent analyses. A heat map of the hierarchical clustering of the differentially expressed miRNAs is shown in Figure 1. Compared with the nonsmoker serum samples, the expression of 105 miRNAs was significantly altered in the serum samples of smokers. The expression of 32 and 73 candidate miRNAs was upregulated and downregulated, respectively (Figure 2(a)). Compared with the nonsmoker serum samples, the expression levels of 163 miRNAs were significantly altered in the lung-cancer patients. The expression of 74 and 89 candidate miRNAs was upregulated and downregulated, respectively (Figure 2(b)). Compared with the smokers, the expression of 73 candidate miRNAs was significantly altered in lung-cancer patients; 56 were upregulated and 17 downregulated (Figure 2(c)). As shown in Figure 2(d), compared with the nonsmokers' serum samples, 85 miRNAs were differentially expressed in both the lung-cancer patients' and smokers' serum samples. The 85 differentially expressed miRNAs accounted for 80.95% (85/105) of all differentially expressed miRNAs in the smokers and 52.15% (85/163) in the lung-cancer patients. Of these 85 miRNAs, the expression of 28 was upregulated and that of 57 was downregulated. To investigate the relationship between the serum miRNAs, smoking, and lung cancer, we screened these 85 miRNAs for candidate miRNAs.

Bottom Line: The differentially expressed miRNAs were then confirmed in a larger sample.We found that let-7i-3p and miR-154-5p were significantly downregulated in the sera of smokers and lung-cancer patients, so the serum levels of let-7i-3p and miR-154-5p are associated with smoking and smoking-related lung cancer.The areas under receiver operating characteristic curves for let-7i-3p and miR-154-5p were approximately 0.892 and 0.957, respectively.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory of Respiratory Diseases, Institute for Chemical Carcinogenesis, Guangzhou Medical University, 195 Dongfeng Road West, Guangzhou 510182, China ; The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.

ABSTRACT
Lung cancer is the leading cause of cancer-related death and cigarette smoking is the main risk factor for lung cancer. Circulating microRNAs (miRNAs) are considered potential biomarkers of various cancers, including lung cancer. However, it is unclear whether changes in circulating miRNAs are associated with smoking and smoking-related lung cancer. In this study, we determined the serum miRNA profiles of 10 nonsmokers, 10 smokers, and 10 lung-cancer patients with miRCURY LNA microRNA arrays. The differentially expressed miRNAs were then confirmed in a larger sample. We found that let-7i-3p and miR-154-5p were significantly downregulated in the sera of smokers and lung-cancer patients, so the serum levels of let-7i-3p and miR-154-5p are associated with smoking and smoking-related lung cancer. The areas under receiver operating characteristic curves for let-7i-3p and miR-154-5p were approximately 0.892 and 0.957, respectively. In conclusion, our results indicate that changes in serum miRNAs are associated with cigarette smoking and lung cancer and that let-7i-3p and miR-154-5p are potential biomarkers of smoking-related lung cancer.

Show MeSH
Related in: MedlinePlus