Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100325 |
Resumo: | Abstract Long-chain non-encoded RNAs (lncRNAs) are important in many life activities and can participate in the occurrence of hepatocellular carcinoma (HCC). Moreover, lncRNAs can be used as basis for developing new strategies to hinder liver cancer. To investigate the utility of lncRNAs in HCC as potential biomarkers for early detection and diagnosis, we mined genomic data from the Cancer Genome Atlas (TCGA), and analyzed the gene expressions from 374 tumor patients and 50 normal patients. The abnormal expressions of 387 differentially expressed lncRNAs (DElncRNAs) were identified from a total of 3099 lncRNAs. Moreover, 18 modules were divided based on WGCNA, and 2 of the 18 modules were positively correlated with stage and grade, and negatively correlated with survival time. Finally, 10 lncRNAs were found and their main functions are the enhancement of cellular metabolic capacity and cell proliferation. These 10 lncRNAs may serve as novel prognostic markers and therapeutic targets, and may help guide subsequent studies on HCC. |
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Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinomalong noncoding RNAshepatocellular carcinomabiomarkersAbstract Long-chain non-encoded RNAs (lncRNAs) are important in many life activities and can participate in the occurrence of hepatocellular carcinoma (HCC). Moreover, lncRNAs can be used as basis for developing new strategies to hinder liver cancer. To investigate the utility of lncRNAs in HCC as potential biomarkers for early detection and diagnosis, we mined genomic data from the Cancer Genome Atlas (TCGA), and analyzed the gene expressions from 374 tumor patients and 50 normal patients. The abnormal expressions of 387 differentially expressed lncRNAs (DElncRNAs) were identified from a total of 3099 lncRNAs. Moreover, 18 modules were divided based on WGCNA, and 2 of the 18 modules were positively correlated with stage and grade, and negatively correlated with survival time. Finally, 10 lncRNAs were found and their main functions are the enhancement of cellular metabolic capacity and cell proliferation. These 10 lncRNAs may serve as novel prognostic markers and therapeutic targets, and may help guide subsequent studies on HCC.Instituto de Tecnologia do Paraná - Tecpar2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100325Brazilian Archives of Biology and Technology v.63 2020reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2020190511info:eu-repo/semantics/openAccessLin,ChaoZhang,DanYao,XiaoxiaoLiu,ShuiXiang,YienZhang,Xueweneng2020-10-14T00:00:00Zoai:scielo:S1516-89132020000100325Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2020-10-14T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
title |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
spellingShingle |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma Lin,Chao long noncoding RNAs hepatocellular carcinoma biomarkers |
title_short |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
title_full |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
title_fullStr |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
title_full_unstemmed |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
title_sort |
Identification of Ten Long Noncoding RNAs as Biomarkers for Hepatocellular Carcinoma |
author |
Lin,Chao |
author_facet |
Lin,Chao Zhang,Dan Yao,Xiaoxiao Liu,Shui Xiang,Yien Zhang,Xuewen |
author_role |
author |
author2 |
Zhang,Dan Yao,Xiaoxiao Liu,Shui Xiang,Yien Zhang,Xuewen |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lin,Chao Zhang,Dan Yao,Xiaoxiao Liu,Shui Xiang,Yien Zhang,Xuewen |
dc.subject.por.fl_str_mv |
long noncoding RNAs hepatocellular carcinoma biomarkers |
topic |
long noncoding RNAs hepatocellular carcinoma biomarkers |
description |
Abstract Long-chain non-encoded RNAs (lncRNAs) are important in many life activities and can participate in the occurrence of hepatocellular carcinoma (HCC). Moreover, lncRNAs can be used as basis for developing new strategies to hinder liver cancer. To investigate the utility of lncRNAs in HCC as potential biomarkers for early detection and diagnosis, we mined genomic data from the Cancer Genome Atlas (TCGA), and analyzed the gene expressions from 374 tumor patients and 50 normal patients. The abnormal expressions of 387 differentially expressed lncRNAs (DElncRNAs) were identified from a total of 3099 lncRNAs. Moreover, 18 modules were divided based on WGCNA, and 2 of the 18 modules were positively correlated with stage and grade, and negatively correlated with survival time. Finally, 10 lncRNAs were found and their main functions are the enhancement of cellular metabolic capacity and cell proliferation. These 10 lncRNAs may serve as novel prognostic markers and therapeutic targets, and may help guide subsequent studies on HCC. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100325 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132020000100325 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2020190511 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.63 2020 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318279979696128 |