AI Article Synopsis
- Colorectal cancer (CRC) is the fourth leading cause of cancer deaths globally, and recent research highlights the potential of long non-coding RNAs (lncRNAs) as important prognostic biomarkers that could enhance existing staging systems.
- In a study analyzing five gene expression datasets, 25 lncRNAs were found to be differentially expressed between CRC tissues and adjacent normal tissues, with higher levels of specific lncRNAs associated with better survival rates in patients.
- LINC01296, in particular, was identified as a significant independent predictor of patient prognosis, signaling its potential as a novel biomarker for CRC diagnosis.
Article Abstract
Colorectal cancer (CRC), one of the most malignant cancers, is currently the fourth leading cause of cancer deaths worldwide. Recent studies indicated that long non-coding RNAs (lncRNAs) could be robust molecular prognostic biomarkers that can refine the conventional tumor-node-metastasis staging system to predict the outcomes of CRC patients. In this study, the lncRNA expression profiles were analyzed in five datasets (GSE24549, GSE24550, GSE35834, GSE50421, and GSE31737) by probe set reannotation and an lncRNA classification pipeline. Twenty-five lncRNAs were differentially expressed between CRC tissue and tumor-adjacent normal tissue samples. In these 25 lncRNAs, patients with higher expression of LINC01296, LINC00152, and FIRRE showed significantly better overall survival than those with lower expression (P < 0.05), suggesting that these lncRNAs might be associated with prognosis. Multivariate analysis indicated that LINC01296 overexpression was an independent predictor for patients' prognosis in the test datasets (GSE24549, GSE24550) (P = 0.001) and an independent validation series (GSE39582) (P = 0.027). Our results suggest that LINC01296 could be a novel prognosis biomarker for the diagnosis of CRC.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s13277-015-3448-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!