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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8067529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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