Add like
Add dislike
Add to saved papers

Long non-coding RNA expression profiles reveals AK098783 is a biomarker to predict poor prognosis in patients with colorectal cancer.

Background: Long non-coding RNAs (lncRNAs) have essential regulatory function, yet their roles in colorectal cancer (CRC) are not well understood.

Materials and methods: Microarray was applied to detect lncRNAs expression profiles in tumor tissues, liver metastasis and paired adjacent normal tissues of CRC. And using RT-PCR to verify chip results.

Results: A total of 10 680 lncRNAs demonstrated differential expressions (fold change ≥2) between tumor tissues and adjacent normal tissues; furthermore there were 2970 lncRNAs, which showed different expression level between CRC tissues with liver metastasis and adjacent normal tissues. Especially, lncRNA-AK098783 expression level was frequently higher in cancerous tissues than corresponding noncancerous tissue. Higher AK098783 expression was significantly correlated with shortened overall survival (P < 0.001) and distant metastasis (P < 0.001).

Conclusions: Our results suggest that AK098783 is involved in distant metastasis and dramatically associated with poor prognosis in patients with CRC.

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