Prognostic and diagnostic significance of long non-coding RNA AGAP2-AS1 levels in patients with non-small cell lung cancer.

Abstract:

OBJECTIVE:The purpose of this study was to explore whether long non-coding RNA AGAP2-AS1 (AGAP2-AS1) could serve as a novel biomarker for non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS:Cancer and matched normal lung tissues were collected from 198 patients. AGAP2-AS1 levels were examined by RT-PCR, and the associations of AGAP2-AS1 levels with clinicopathological characteristics evaluated. Overall survival was evaluated using the Kaplan-Meier method. Cox proportional hazard modeling was performed for univariate and multivariate analysis to determine the effects of variables on survival. Receiver-operating characteristic. Besides, the receiver operating characteristic (ROC) curve analysis were applied to analyze its diagnostic value. RESULTS:Expression of AGAP2-AS1 was up-regulated in the NSCLC tissues compared with the adjacent normal tissues (p < 0.01). Furthermore, The level of AGAP2-AS19 in NSCLC was strongly correlated with tumor stage (p = 0.001) and lymph nodes metastasis (p = 0.005). Kaplan-Meier analysis demonstrated patients with higher AGAP2-AS1 expression had a shorter overall survival time than those with lower AGAP2-AS1 expression (p < 0.0001). The multivariate analysis showed that AGAP2-AS1 expression is an independent prognostic factor of overall survival in patients with NSCLC. The results of ROC curve analysis showed that AGAP2-AS1 might be a promising diagnostic marker of NSCLC with an AUC of 0.846. CONCLUSIONS:Our findings revealed that AGAP2-AS1 might be a potential biomarker for the diagnosis and prognosis of NSCLC. However, to completely elucidate its role as a biomarker, further studies are required.

authors

Fan KJ,Liu Y,Yang B,Tian XD,Li CR,Wang B

subject

Has Abstract

pub_date

2017-05-01 00:00:00

pages

2392-2396

issue

10

eissn

1128-3602

issn

2284-0729

journal_volume

21

pub_type

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