Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.

<h4>Background</h4>Hepatocellular carcinoma (HCC) is a common malignancy that has a poor prognosis because there is lack of methods for early diagnosis. We aimed to utilize two serum long non-coding RNAs (lncRNAs), uc001ncr and AX800134, to diagnose hepatitis B virus (HBV)-positive HCC.&...

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Main Authors: Kang Wang, Wei Xing Guo, Nan Li, Chun Fang Gao, Jie Shi, Yu Fu Tang, Feng Shen, Meng Chao Wu, Shan Rong Liu, Shu Qun Cheng
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0144934&type=printable
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author Kang Wang
Wei Xing Guo
Nan Li
Chun Fang Gao
Jie Shi
Yu Fu Tang
Feng Shen
Meng Chao Wu
Shan Rong Liu
Shu Qun Cheng
author_facet Kang Wang
Wei Xing Guo
Nan Li
Chun Fang Gao
Jie Shi
Yu Fu Tang
Feng Shen
Meng Chao Wu
Shan Rong Liu
Shu Qun Cheng
author_sort Kang Wang
collection DOAJ
description <h4>Background</h4>Hepatocellular carcinoma (HCC) is a common malignancy that has a poor prognosis because there is lack of methods for early diagnosis. We aimed to utilize two serum long non-coding RNAs (lncRNAs), uc001ncr and AX800134, to diagnose hepatitis B virus (HBV)-positive HCC.<h4>Methods</h4>lncRNA microarrays were utilized to measure the differential expression of lncRNAs between tumor tissues and corresponding non-tumor tissues in HBV-positive hapatocellular carcinoma. uc001ncr and AX800134 were selected as candidate lncRNAs and detected in three independent cohorts containing a total of 684 participants (healthy individuals and chronic HBV patients and HBV-positive HCC patients) who were recruited between March 2011 and December 2012. A logistic regression model was constructed using a training cohort (n = 353) and validated using an independent cohort (n = 181). The area under the receiver operating characteristic curve (AUC) was utilized to evaluate the diagnostic accuracy.<h4>Results</h4>We determined that a panel based on the expression of uc001ncr and AX800134 accurately diagnosed HBV-positive HCC (AUC values of 0.9494 and 0.9491 for the training and validation cohorts, respectively). The diagnostic performance of the panel remained high in patients with AFP≤400 ng/ml (AUC values of 0.9371 and 0.9527 for the training and validation cohorts, respectively). The panel also diagnosed early HCC (AUC values of 0.9450 and 0.9564 for the training and validation cohorts, respectively).<h4>Conclusion</h4>Our results indicated that the serum expression of uc001ncr and AX800134 has potential as novel potential biomarker for the diagnosis of HCC, especially in patients with AFP≤400 ng/ml or early-stage disease (BCLC 0+A).
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spelling doaj-art-a613a1658be148668c2a2bcbafca9c902025-08-20T03:10:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-011012e014493410.1371/journal.pone.0144934Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.Kang WangWei Xing GuoNan LiChun Fang GaoJie ShiYu Fu TangFeng ShenMeng Chao WuShan Rong LiuShu Qun Cheng<h4>Background</h4>Hepatocellular carcinoma (HCC) is a common malignancy that has a poor prognosis because there is lack of methods for early diagnosis. We aimed to utilize two serum long non-coding RNAs (lncRNAs), uc001ncr and AX800134, to diagnose hepatitis B virus (HBV)-positive HCC.<h4>Methods</h4>lncRNA microarrays were utilized to measure the differential expression of lncRNAs between tumor tissues and corresponding non-tumor tissues in HBV-positive hapatocellular carcinoma. uc001ncr and AX800134 were selected as candidate lncRNAs and detected in three independent cohorts containing a total of 684 participants (healthy individuals and chronic HBV patients and HBV-positive HCC patients) who were recruited between March 2011 and December 2012. A logistic regression model was constructed using a training cohort (n = 353) and validated using an independent cohort (n = 181). The area under the receiver operating characteristic curve (AUC) was utilized to evaluate the diagnostic accuracy.<h4>Results</h4>We determined that a panel based on the expression of uc001ncr and AX800134 accurately diagnosed HBV-positive HCC (AUC values of 0.9494 and 0.9491 for the training and validation cohorts, respectively). The diagnostic performance of the panel remained high in patients with AFP≤400 ng/ml (AUC values of 0.9371 and 0.9527 for the training and validation cohorts, respectively). The panel also diagnosed early HCC (AUC values of 0.9450 and 0.9564 for the training and validation cohorts, respectively).<h4>Conclusion</h4>Our results indicated that the serum expression of uc001ncr and AX800134 has potential as novel potential biomarker for the diagnosis of HCC, especially in patients with AFP≤400 ng/ml or early-stage disease (BCLC 0+A).https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0144934&type=printable
spellingShingle Kang Wang
Wei Xing Guo
Nan Li
Chun Fang Gao
Jie Shi
Yu Fu Tang
Feng Shen
Meng Chao Wu
Shan Rong Liu
Shu Qun Cheng
Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.
PLoS ONE
title Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.
title_full Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.
title_fullStr Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.
title_full_unstemmed Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.
title_short Serum LncRNAs Profiles Serve as Novel Potential Biomarkers for the Diagnosis of HBV-Positive Hepatocellular Carcinoma.
title_sort serum lncrnas profiles serve as novel potential biomarkers for the diagnosis of hbv positive hepatocellular carcinoma
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0144934&type=printable
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