1. Identification of serum MiRNAs as candidate biomarkers for non-small cell lung cancer diagnosis
- Author
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Xintong Zhang, Jinjing Tan, Yan Chen, Shang Ma, Wanqiu Bai, Yanjing Peng, and Guangli Shi
- Subjects
Non-small cell lung cancer ,microRNA ,Biomarkers ,Diagnosis ,miR-3149 ,miR-4769.3p ,Diseases of the respiratory system ,RC705-779 - Abstract
Abstract Background Lung cancer is one of the most common solid tumors worldwide and the leading cause of cancer-associated death. Non-small cell lung cancer (NSCLC) is accounts for approximately 85% of all the lung cancers and lung squamous carcinoma (SCC) and adenocarcinoma (ADC) are the main subtypes of NSCLC. Early diagnose using serum biomarkers could improve the overall survival of patients. In this study, we aimed to identify miRNAs from serum with clinical utility in the diagnosis of NSCLC. Methods Ten patients with SCC, ten patients with ADC and five noncancerous individuals were enrolled in the screening cohort. miRNA expression levels in serum were measured by microarray analysis. Candidate miRNAs were validated by real-time quantitative polymerase chain reaction analysis in a validation cohort of 78 NSCLC patients and 44 noncancerous individuals. Receiver operating characteristic curves were used to assess the diagnostic performance of serum miRNAs for NSCLC. Logistic regression was used to evaluate the diagnostic value of the combination of markers. Results Six candidate miRNAs were differentially expressed between NSCLC patients and noncancerous individuals in the screening set (fold change > 2, p
- Published
- 2022
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