A panel consisting of three novel circulating lncRNAs, is it a predictive tool for gastric cancer?. Issue 7 (26th April 2018)

• Record Type: Journal Article
• Authors: Liu, Jingjing; Wang, Jiajun; Song, Yongxi; Ma, Bin; Luo, Junlong; Ni, Zhongran; Gao, Peng; Sun, Jingxu; Zhao, Junhua; Chen, Xiaowan; Wang, Zhenning
• Is Part Of: Journal of cellular and molecular medicine. Volume 22:Issue 7(2018)
• Page Start: 3605
• Page End: 3613
• Publication Date: 2018-04-26
• Subjects: biomarker -- circulating lncRNA -- gastric cancer -- microarray -- plasma; Cytology; Medicine; Molecular Biology; Cytologie -- Périodiques; Médecine -- Périodiques; Biologie moléculaire -- Périodiques; Cytology -- Periodicals; Medicine -- Periodicals; Molecular biology -- Periodicals; 611.01805
• DOI: 10.1111/jcmm.13640
• Languages: English
• ISSNs: 1582-1838

Abstract

Abstract: Early detection is vital for prolonging 5‐year survival for patients with gastric cancer (GC). Numerous studies indicate that circulating long non‐coding RNAs (lncRNAs) can be used to diagnose malignant tumours. This study aimed to investigate the capacity of novel lncRNAs for diagnosing GC. A lncRNA microarray assay was used to screen differentially expressed lncRNAs between plasma of patients with GC and healthy controls. Plasma samples from 100 patients with healthy controls were used to construct a multiple‐gene panel. An additional 50 pairs of GC patients with healthy controls were used to evaluate the diagnostic accuracy of the panel. Expression levels of lncRNAs were quantified through real‐time polymerase chain reaction. The receiver operating characteristic curve and area under curve (AUC) were used to estimate the diagnostic capacity. We identified three lncRNAs, CTC‐501O10.1, AC100830.4 and RP11‐210K20.5 that were up‐regulated in the plasma of GC patients with AUCs 0.724, 0.730 and 0.737, respectively ( P < .01). Based on the logistic regression model, the combined AUC of the three lncRNAs was 0.764. The AUC of the panel was 0.700 in the validation cohort. These findings indicate that plasma lncRNAs can serve as potential biomarkers for detection of GC.