Oncotarget

Research Papers:

Identification of long noncoding RNAs for the detection of early stage lung squamous cell carcinoma by microarray analysis

Zule Cheng, Yanan Bai, Ping Wang, Zhenhua Wu, Lin Zhou, Ming Zhong, Qinghui Jin, Jianlong Zhao, Hailei Mao and Hongju Mao _

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Oncotarget. 2017; 8:13329-13337. https://doi.org/10.18632/oncotarget.14522

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Abstract

Zule Cheng1,2, Yanan Bai1,2, Ping Wang1, Zhenhua Wu1,2, Lin Zhou1,2, Ming Zhong3, Qinghui Jin1, Jianlong Zhao1, Hailei Mao3, Hongju Mao1

1State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, China

2University of Chinese Academy of Sciences, Beijing 100039, China

3Departments of Anesthesiology and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China

Correspondence to:

Jianlong Zhao, email: [email protected]

Hailei Mao, email: [email protected]

Hongju Mao, email: [email protected]

Keywords: long noncoding RNA, biomarker, diagnosis, early stage lung squamous cell carcinoma, microarray

Received: October 20, 2016     Accepted: December 27, 2016     Published: January 05, 2017

ABSTRACT

The aberrant expressions of long noncoding RNAs have been reported in numerous cancers, which have facilitated the cancer diagnosis. However, the expression profile of lncRNAs in early stage lung squamous cell carcinoma has not been well discussed. The present study aimed to examine the expression profile of lncRNAs in early stage lung squamous cell carcinoma and identify lncRNA biomarkers for diagnosis. Through high-throughput lncRNA microarray, we screened thousands of aberrantly expressed lncRNAs and mRNAs in early stage lung squamous cell carcinoma tissues compared to their corresponding adjacent nontumorous tissues. Bioinformatics analyses were used to investigate the functions of aberrantly expressed mRNAs and their associated lncRNAs. After that, in order to identify lncRNA biomarkers for early detection, candidate lncRNA biomarkers were selected based on our established filtering pipeline and validated by real-time quantitative polymerase chain reaction on a total of 63 pairs of tumor samples. Five lncRNAs were finally identified which were able to distinguish early stage tumor and normal samples with high sensitivity (92%) and specificity (83%). These results imply that lncRNAs may be powerful biomarker for early diagnosis.


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