Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma

Abstract Expression profiles of cancer are generally composed of three dimensions including gene probes, patients (e.g., metastasis or non-metastasis) and tissues (i.e., cancer or normal cells of a patient). In order to combine these three dimensions, we proposed a joint covariate detection that not...

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Autores principales:	Xudong Zhao, Lei Wang, Guangsheng Chen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bd189dd5a16a46719c8bfa13c22774fd
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spelling	oai:doaj.org-article:bd189dd5a16a46719c8bfa13c22774fd2021-12-02T12:32:08ZJoint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma10.1038/s41598-017-05776-12045-2322https://doaj.org/article/bd189dd5a16a46719c8bfa13c22774fd2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05776-1https://doaj.org/toc/2045-2322Abstract Expression profiles of cancer are generally composed of three dimensions including gene probes, patients (e.g., metastasis or non-metastasis) and tissues (i.e., cancer or normal cells of a patient). In order to combine these three dimensions, we proposed a joint covariate detection that not only considered projections on gene probes and tissues simultaneously, but also concentrated on distinguishing patients into different groups. Due to highly lethal malignancy of hepatocellular carcinoma, we chose data GSE6857 to testify the effectiveness of our method. A bootstrap and accumulation strategy was introduced in, which could select candidate microRNAs to distinguish metastasis from non-metastasis patient group. Two pairs of microRNAs were further selected. Each component of either significant microRNA pair was derived from different cliques. Targets were sought and pathway analysis were made, which might reveal the mechanism of venous metastasis in primary hepatocellular carcinoma.Xudong ZhaoLei WangGuangsheng ChenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xudong Zhao Lei Wang Guangsheng Chen Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
description	Abstract Expression profiles of cancer are generally composed of three dimensions including gene probes, patients (e.g., metastasis or non-metastasis) and tissues (i.e., cancer or normal cells of a patient). In order to combine these three dimensions, we proposed a joint covariate detection that not only considered projections on gene probes and tissues simultaneously, but also concentrated on distinguishing patients into different groups. Due to highly lethal malignancy of hepatocellular carcinoma, we chose data GSE6857 to testify the effectiveness of our method. A bootstrap and accumulation strategy was introduced in, which could select candidate microRNAs to distinguish metastasis from non-metastasis patient group. Two pairs of microRNAs were further selected. Each component of either significant microRNA pair was derived from different cliques. Targets were sought and pathway analysis were made, which might reveal the mechanism of venous metastasis in primary hepatocellular carcinoma.
format	article
author	Xudong Zhao Lei Wang Guangsheng Chen
author_facet	Xudong Zhao Lei Wang Guangsheng Chen
author_sort	Xudong Zhao
title	Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
title_short	Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
title_full	Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
title_fullStr	Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
title_full_unstemmed	Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma
title_sort	joint covariate detection on expression profiles for identifying micrornas related to venous metastasis in hepatocellular carcinoma
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/bd189dd5a16a46719c8bfa13c22774fd
work_keys_str_mv	AT xudongzhao jointcovariatedetectiononexpressionprofilesforidentifyingmicrornasrelatedtovenousmetastasisinhepatocellularcarcinoma AT leiwang jointcovariatedetectiononexpressionprofilesforidentifyingmicrornasrelatedtovenousmetastasisinhepatocellularcarcinoma AT guangshengchen jointcovariatedetectiononexpressionprofilesforidentifyingmicrornasrelatedtovenousmetastasisinhepatocellularcarcinoma
_version_	1718394181686132736

Joint Covariate Detection on Expression Profiles for Identifying MicroRNAs Related to Venous Metastasis in Hepatocellular Carcinoma

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