Add like
Add dislike
Add to saved papers

Increasing expression of miR-5100 in non-small-cell lung cancer and correlation with prognosis.

OBJECTIVE: A previous study indicated that miR-5100 served as a tumor oncogene in lung cancer. However, whether miR-5100 may serve as a novel prognostic marker in non-small cell lung cancer (NSCLC), has not been investigated. The aim of this study was to investigate miR-5100 expression and its clinical significance in NSCLC patients.

PATIENTS AND METHODS: Expression of miR-5100 was detected in NSCLC tissues and matched normal lung tissues by quantitative Real-time polymerase chain reaction. The correlation between miR-5100 expression and clinical features were statistically analyzed. Survival rate was analyzed by log-rank test, and survival curves were plotted according to Kaplan-Meier. The correlation between miR-5100 expression and prognosis of NSCLC patients was further evaluated by univariate and multivariate analysis.

RESULTS: As revealed by qRT-PCR analysis, the relative level of miR-5100 expression in NSCLC tissues was significantly upregulated, compared with that in corresponding noncancerous tissues (p < 0.01). Additionally, high miR-5100 expression was statistically associated with higher clinical stage (p < 0.001), N classification (p = 0.003) and M classification (p = 0.027), but lower differentiated degree (p < 0.001). Furthermore, the results of Kaplan-Meier suggested that NSCLC patients with higher miR-5100 expression had significantly poorer overall survival (p < 0.0001) and progression-free survival (p < 0.0001). Multivariate survival analysis verified that miR-5100 expression level was an independent predictor of both overall survival and progression-free survival for NSCLC patients.

CONCLUSIONS: Our data suggested that up-regulation of miR-5100 was correlated with NSCLC progression, which provided a potential prognostic biomarker and therapeutic target.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app