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LncRNA HMlincRNA717 is down-regulated in non-small cell lung cancer and associated with poor prognosis
- Publication Year :
- 2014
- Publisher :
- e-Century Publishing Corporation, 2014.
-
Abstract
- Introduction: Long non coding RNAs (lncRNAs) have emerged recently as major players in tumor biology and may be used for cancer diagnosis, prognosis, and potential therapeutic targets. The lncRNA HMlincRNA717, a newly identified lncRNA, was demonstrated to be down-regulated in gastric cancer. However, little is known about its role in non small cell lung cancer (NSCLC). Methods: Expression of lncRNA HMlincRNA717 in tumor and their matched non-tumor tissues was determined by quantitative real-time PCR (qRT-PCR) in NSCLC patients. Then, we analyzed the potential relationship between lncRNA HMlincRNA717 expression levels in tumor tissues and clinicopathological features of NSCLC, and clinical outcome. Results: lncRNA HMlincRNA717 expression level was significantly decreased in NSCLC tissues in comparison to adjacent non-tumor tissues. It was also proved that HMlincRNA717 expression was to be associated with NSCLC histological grade, and lymph node metastasis. In addition, survival analysis proved that down-regulated HMlincRNA717 expression was associated with poor overall survival of NSCLC patients. Multivariate survival analysis also proved that HMlincRNA717 was an independent prognostic factor for NSCLC patients. Conclusions: The present study showed the down-regulation of HMlincRNA717 and its association with tumor progression in human NSCLC. It also provided that HMlincRNA717 expression was an independent prognostic factor for patients with NSCLC, which might be a potential prognostic biomarker and therapeutic target for NSCLC.
- Subjects :
- Male
Lung Neoplasms
Down-Regulation
Kaplan-Meier Estimate
Middle Aged
Prognosis
Real-Time Polymerase Chain Reaction
respiratory tract diseases
Gene Expression Regulation, Neoplastic
Carcinoma, Non-Small-Cell Lung
Biomarkers, Tumor
Humans
Original Article
Female
RNA, Long Noncoding
neoplasms
Aged
Proportional Hazards Models
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.pmid..........e9f30b03753cdf68fc7af5284835ba6a