Increased serum exosomal long non-coding RNA SNHG15 expression predicts poor prognosis in non-small cell lung cancer

血清外泌体长链非编码 RNA SNHG15 表达增加预示非小细胞肺癌预后不良

阅读:11
作者:Pengfei Han, Jia Zhao, Lun Gao

Background

Circulating long non-coding RNAs (lncRNAs) are emerging as promising biomarkers for non-small cell lung cancer (NSCLC). This study aimed to detect serum exosomal lncRNA SNHG15 expression in NSCLC and evaluate its potential clinical value.

Conclusion

In conclusion, our findings suggest that serum exosomal lncRNA SNHG15 might be a potential biomarker for early diagnosis and prognosis prediction of NSCLC.

Methods

A total of 238 serum samples were collected from 118 patients with NSCLC, 40 patients with benign pulmonary lesions and 80 healthy volunteers. The expression levels of serum exosomal lncRNA SNHG15 were measured by quantitative real-time polymerase chain reaction (qRT-PCR). Then, the relationship between serum exosomal lncRNA SNHG15 expression and clinical parameters was analyzed.

Results

The serum exosomal lncRNA SNHG15 expression was markedly higher in NSCLC patients compared to patients with benign pulmonary lesions and normal controls. As expected, serum exosomal lncRNA SNHG15 was greatly decreased after surgery. High serum exosomal lncRNA SNHG15 expression was closely associated with poor differentiation (p=0.035), positive lymph node metastasis (p=0.009) and advanced TNM stage (p<0.001). Receiver operating characteristic (ROC) curve analysis demonstrated that serum exosomal lncRNA SNHG15 well differentiated all stage NSCLC, stage I/II NSCLC patients or stage III/IV NSCLC patients from controls, and the combination of serum exosomal lncRNA SNHG15 and CEA showed an elevated AUC for distinguishing NSCLC from healthy individuals. In univariate and multivariate analyses, serum exosomal lncRNA SNHG15 was confirmed as an independent prognostic predictor for overall survival.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。