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Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer

Authors :
Diana Nitusca
Anca Marcu
Alis Dema
Loredana Balacescu
Ovidiu Balacescu
Razvan Bardan
Alin Adrian Cumpanas
Ioan Ovidiu Sirbu
Bogdan Petrut
Edward Seclaman
Catalin Marian
Source :
Life, Vol 11, Iss 4, p 320 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Background: Prostate cancer (PCa) remains one of the leading causes of cancer-related mortality in men worldwide, mainly due to unsatisfactory diagnostic methods used at present, which lead to overdiagnosis, unnecessary biopsies and treatment, or misdiagnosis in early asymptomatic stages. New diagnostic biomarkers are needed for a correct and early diagnosis. Long noncoding RNAs (lncRNAs) have been broadly studied for their involvement in PCa biology, as well as for their potential role as diagnostic biomarkers. Methods: We conducted lncRNA profiling in plasma and microdissected formalin-fixed paraffin-embedded (FFPE) tissues of PCa patients and attempted validation for commonly dysregulated individual lncRNAs. Results: Plasma profiling revealed eight dysregulated lncRNAs, while microarray analysis revealed 717 significantly dysregulated lncRNAs, out of which only nuclear-enriched abundant transcript 1 (NEAT1) was commonly upregulated in plasma samples and FFPE tissues. NEAT1’s individual validation revealed statistically significant upregulation (FC = 2.101, p = 0.009). Receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) value of 0.7298 for NEAT1 (95% CI = 0.5812–0.8785), suggesting a relatively high diagnostic value, thus having a potential biomarker role for this malignancy. Conclusions: We present herein data suggesting that NEAT1 could serve as a diagnostic biomarker for PCa. Additional studies of larger cohorts are needed to confirm our findings, as well as the oncogenic mechanism of NEAT1 in the development of PCa.

Details

Language :
English
ISSN :
20751729
Volume :
11
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Life
Publication Type :
Academic Journal
Accession number :
edsdoj.1f8d1791b0c4eec9add7ec1c15c8422
Document Type :
article
Full Text :
https://doi.org/10.3390/life11040320