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

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 diagno...

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Autores principales: Nitusca, Diana, Marcu, Anca, Dema, Alis, Balacescu, Loredana, Balacescu, Ovidiu, Bardan, Razvan, Cumpanas, Alin Adrian, Sirbu, Ioan Ovidiu, Petrut, Bogdan, Seclaman, Edward, Marian, Catalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067529/
https://www.ncbi.nlm.nih.gov/pubmed/33917553
http://dx.doi.org/10.3390/life11040320
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author Nitusca, Diana
Marcu, Anca
Dema, Alis
Balacescu, Loredana
Balacescu, Ovidiu
Bardan, Razvan
Cumpanas, Alin Adrian
Sirbu, Ioan Ovidiu
Petrut, Bogdan
Seclaman, Edward
Marian, Catalin
author_facet Nitusca, Diana
Marcu, Anca
Dema, Alis
Balacescu, Loredana
Balacescu, Ovidiu
Bardan, Razvan
Cumpanas, Alin Adrian
Sirbu, Ioan Ovidiu
Petrut, Bogdan
Seclaman, Edward
Marian, Catalin
author_sort Nitusca, Diana
collection PubMed
description 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.
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spelling pubmed-80675292021-04-25 Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer Nitusca, Diana Marcu, Anca Dema, Alis Balacescu, Loredana Balacescu, Ovidiu Bardan, Razvan Cumpanas, Alin Adrian Sirbu, Ioan Ovidiu Petrut, Bogdan Seclaman, Edward Marian, Catalin Life (Basel) Article 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. MDPI 2021-04-06 /pmc/articles/PMC8067529/ /pubmed/33917553 http://dx.doi.org/10.3390/life11040320 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nitusca, Diana
Marcu, Anca
Dema, Alis
Balacescu, Loredana
Balacescu, Ovidiu
Bardan, Razvan
Cumpanas, Alin Adrian
Sirbu, Ioan Ovidiu
Petrut, Bogdan
Seclaman, Edward
Marian, Catalin
Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer
title Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer
title_full Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer
title_fullStr Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer
title_full_unstemmed Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer
title_short Long Noncoding RNA NEAT1 as a Potential Candidate Biomarker for Prostate Cancer
title_sort long noncoding rna neat1 as a potential candidate biomarker for prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067529/
https://www.ncbi.nlm.nih.gov/pubmed/33917553
http://dx.doi.org/10.3390/life11040320
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