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FOXP4-AS1 is a favorable prognostic-related enhancer RNA in ovarian cancer.
- Source :
-
Bioscience reports [Biosci Rep] 2021 Apr 30; Vol. 41 (4). - Publication Year :
- 2021
-
Abstract
- Ovarian cancer (OV) is the main cause of deaths worldwide in female reproductive system malignancies. Enhancer RNAs (eRNAs) are derived from the transcription of enhancers and has attracted increasing attention in cancers recently. However, the biological functions and clinical significance of eRNAs in OV have not been well described presently. We used an integrated data analysis to identify prognostic-related eRNAs in OV. Tissue-specific enhancer-derived RNAs and their regulating genes were considered as putative eRNA-target pairs using the computational pipeline PreSTIGE. Gene expression profiles and clinical data of OV and 32 other cancer types were obtained from the UCSC Xena platform. Altogether, 71 eRNAs candidates showed significant correlation with overall survival (OS) of OV samples (Kaplan-Meier log-rank test, P<0.05). Among which, 23 were determined to be correlated with their potential target genes (Spearman's r > 0.3, P<0.001). It was found that among the 23 prognostic-related eRNAs, the expression of forkhead box P4 antisense RNA 1 (FOXP4-AS1) had the highest positive correlation with its predicted target gene FOXP4 (Spearman's r = 0.61). Moreover, the results were further validated by RT-qPCR analysis in an independent OV cohort. Our results suggested the eRNA FOXP4-AS1 expression index may be a favorable independent prognostic biomarker candidate in OV.<br /> (© 2021 The Author(s).)
- Subjects :
- Aged
Biomarkers, Tumor metabolism
Female
Forkhead Transcription Factors genetics
Forkhead Transcription Factors metabolism
Humans
Middle Aged
Ovarian Neoplasms metabolism
Ovarian Neoplasms pathology
RNA, Long Noncoding metabolism
Survival Analysis
Biomarkers, Tumor genetics
Ovarian Neoplasms genetics
RNA, Long Noncoding genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1573-4935
- Volume :
- 41
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Bioscience reports
- Publication Type :
- Academic Journal
- Accession number :
- 33870423
- Full Text :
- https://doi.org/10.1042/BSR20204008