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Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer
Accumulating evidence indicates that long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and progression. We aimed to identify a panel of lncRNAs for the diagnosis and recurrence prediction in bladder cancer (BC). The expression of 13 candidate lncRNAs was investigated in 80 BC and...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346682/ https://www.ncbi.nlm.nih.gov/pubmed/27793008 http://dx.doi.org/10.18632/oncotarget.12880 |
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author | Duan, Weili Du, Lutao Jiang, Xiumei Wang, Rui Yan, Suzhen Xie, Yujiao Yan, Keqiang Wang, Qingliang Wang, Lili Zhang, Xin Pan, Hongwei Yang, Yongmei Wang, Chuanxin |
author_facet | Duan, Weili Du, Lutao Jiang, Xiumei Wang, Rui Yan, Suzhen Xie, Yujiao Yan, Keqiang Wang, Qingliang Wang, Lili Zhang, Xin Pan, Hongwei Yang, Yongmei Wang, Chuanxin |
author_sort | Duan, Weili |
collection | PubMed |
description | Accumulating evidence indicates that long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and progression. We aimed to identify a panel of lncRNAs for the diagnosis and recurrence prediction in bladder cancer (BC). The expression of 13 candidate lncRNAs was investigated in 80 BC and matched adjacent normal tissues via quantitative real-time PCR. The differentially expressed lncRNAs were then analyzed in 240 serum samples (training set) and three lncRNAs (MEG3, SNHG16 and MALAT1) showed differential expression. A logistic regression model was constructed using the training set and validated in an independent cohort of 200 serum samples (validation set). The AUC of the three-lncRNA panel was 0.865 for the training and 0.828 for the validation set. The diagnostic performance of the lncRNA panel for Ta, T1, and T2–T4 were 0.778, 0.805, and 0.880, which were significantly higher than those of urine cytology (0.548, 0.604, and 0.682, respectively). Moreover, we determined that low expression of MEG3 was associated with poor recurrence-free survival by Kaplan-Meier analysis (p = 0.028), univariate Cox analysis (p = 0.033) and multivariate Cox analysis (p = 0.046). In conclusion, our results identified a three-lncRNA panel for BC diagnosis and a recurrence-independent prognostic factor, MEG3. |
format | Online Article Text |
id | pubmed-5346682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53466822017-03-30 Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer Duan, Weili Du, Lutao Jiang, Xiumei Wang, Rui Yan, Suzhen Xie, Yujiao Yan, Keqiang Wang, Qingliang Wang, Lili Zhang, Xin Pan, Hongwei Yang, Yongmei Wang, Chuanxin Oncotarget Research Paper Accumulating evidence indicates that long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and progression. We aimed to identify a panel of lncRNAs for the diagnosis and recurrence prediction in bladder cancer (BC). The expression of 13 candidate lncRNAs was investigated in 80 BC and matched adjacent normal tissues via quantitative real-time PCR. The differentially expressed lncRNAs were then analyzed in 240 serum samples (training set) and three lncRNAs (MEG3, SNHG16 and MALAT1) showed differential expression. A logistic regression model was constructed using the training set and validated in an independent cohort of 200 serum samples (validation set). The AUC of the three-lncRNA panel was 0.865 for the training and 0.828 for the validation set. The diagnostic performance of the lncRNA panel for Ta, T1, and T2–T4 were 0.778, 0.805, and 0.880, which were significantly higher than those of urine cytology (0.548, 0.604, and 0.682, respectively). Moreover, we determined that low expression of MEG3 was associated with poor recurrence-free survival by Kaplan-Meier analysis (p = 0.028), univariate Cox analysis (p = 0.033) and multivariate Cox analysis (p = 0.046). In conclusion, our results identified a three-lncRNA panel for BC diagnosis and a recurrence-independent prognostic factor, MEG3. Impact Journals LLC 2016-10-25 /pmc/articles/PMC5346682/ /pubmed/27793008 http://dx.doi.org/10.18632/oncotarget.12880 Text en Copyright: © 2016 Duan et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Duan, Weili Du, Lutao Jiang, Xiumei Wang, Rui Yan, Suzhen Xie, Yujiao Yan, Keqiang Wang, Qingliang Wang, Lili Zhang, Xin Pan, Hongwei Yang, Yongmei Wang, Chuanxin Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer |
title | Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer |
title_full | Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer |
title_fullStr | Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer |
title_full_unstemmed | Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer |
title_short | Identification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer |
title_sort | identification of a serum circulating lncrna panel for the diagnosis and recurrence prediction of bladder cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346682/ https://www.ncbi.nlm.nih.gov/pubmed/27793008 http://dx.doi.org/10.18632/oncotarget.12880 |
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