Ping Wang1, Shaohua Lu2, Hailei Mao3, Yanan Bai4, Tianle Ma5, Zule Cheng1, Honglian Zhang6, Qinghui Jin6, Jianlong Zhao7, Hongju Mao8. 1. State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China; University of Chinese Academy of Sciences, Beijing 100039, China. 2. Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China. 3. Departments of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China. 4. Shanghai Southgene Technology Co., Ltd., Shanghai 201203, China. 5. Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. 6. State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China. 7. State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China. Electronic address: jlzhao@mail.sim.ac.cn. 8. State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China. Electronic address: hjmao@mail.sim.ac.cn.
Abstract
BACKGROUND: Lung adenocarcinoma has one of the poorest outcomes of any cancer worldwide, in part due to the lack of a reliable means of early detection. Long noncoding RNAs (lncRNAs) have been shown to be deregulated in some types of cancer; however, the contributions of lncRNAs to lung adenocarcinoma remain unknown. METHODS: We described the expression profile of lncRNAs in human lung adenocarcinoma at an early stage and the corresponding adjacent nontumorous tissues (NT) by microarray. From the microarray analysis, a total of 1170 lncRNAs were significantly differentially expressed in three early stage lung adenocarcinoma tissues compared with NT (fold-change≥2.0, p≤0.05). Candidate biomarkers were selected from the significantly differentially expressed lncRNAs based on our established filtering pipeline; subsequently, marker optimization and validation by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) on a total of 102 pairs of early stage lung adenocarcinoma and NT samples. RESULTS: A panel of 5-lncRNA was identified that could distinguish early stage lung adenocarcinoma from NT samples with high sensitivity and specificity. The area under the receiver operating characteristic curve (AUC) for tumor identification in the training and validation sets were 0.978 and 0.987, respectively. CONCLUSIONS: Our results are the first to reveal differentially expressed lncRNAs in early stage lung adenocarcinoma and suggest that lncRNAs may be novel candidate biomarkers for the early detection of this disease.
BACKGROUND:Lung adenocarcinoma has one of the poorest outcomes of any cancer worldwide, in part due to the lack of a reliable means of early detection. Long noncoding RNAs (lncRNAs) have been shown to be deregulated in some types of cancer; however, the contributions of lncRNAs to lung adenocarcinoma remain unknown. METHODS: We described the expression profile of lncRNAs in humanlung adenocarcinoma at an early stage and the corresponding adjacent nontumorous tissues (NT) by microarray. From the microarray analysis, a total of 1170 lncRNAs were significantly differentially expressed in three early stage lung adenocarcinoma tissues compared with NT (fold-change≥2.0, p≤0.05). Candidate biomarkers were selected from the significantly differentially expressed lncRNAs based on our established filtering pipeline; subsequently, marker optimization and validation by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) on a total of 102 pairs of early stage lung adenocarcinoma and NT samples. RESULTS: A panel of 5-lncRNA was identified that could distinguish early stage lung adenocarcinoma from NT samples with high sensitivity and specificity. The area under the receiver operating characteristic curve (AUC) for tumor identification in the training and validation sets were 0.978 and 0.987, respectively. CONCLUSIONS: Our results are the first to reveal differentially expressed lncRNAs in early stage lung adenocarcinoma and suggest that lncRNAs may be novel candidate biomarkers for the early detection of this disease.