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The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis
BACKGROUND AND OBJECTIVE: Metastasis is one of the important reasons for the poor prognosis of hepatocellular carcinoma (HCC), abnormal glycosylation plays a pivotal role in HCC metastasis. The goal of this study was to screen and validate the transcriptional profiling of glycogenes associated with...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169445/ https://www.ncbi.nlm.nih.gov/pubmed/25232831 http://dx.doi.org/10.1371/journal.pone.0107941 |
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author | Liu, Tianhua Zhang, Shu Chen, Jie Jiang, Kai Zhang, Qinle Guo, Kun Liu, Yinkun |
author_facet | Liu, Tianhua Zhang, Shu Chen, Jie Jiang, Kai Zhang, Qinle Guo, Kun Liu, Yinkun |
author_sort | Liu, Tianhua |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Metastasis is one of the important reasons for the poor prognosis of hepatocellular carcinoma (HCC), abnormal glycosylation plays a pivotal role in HCC metastasis. The goal of this study was to screen and validate the transcriptional profiling of glycogenes associated with HCC metastasis. METHODOLOGY: The differentially transcribed glycogenes were screened out by the Human Glycosylation RT(2) Profiler PCR Array, and were identified by qRT-PCR in human HCC cell lines and their orthotopic xenograft tumors. Further analyses were performed with K-mean clustering, Gene Ontology (GO) and ingenuity pathways analysis (IPA). Four differentially transcribed glycogenes were validated in clinical cancer specimens by qRT-PCR. RESULTS: A total of thirty-three differentially transcribed glycogenes were obtained by comparison the transcription in the metastatic human HCC cell lines (MHCC97L, MHCC97H and HCCLM3) with the transcription in the non-metastatic HCC cell line Hep3B. Seven differentially transcribed glycogenes were selected to further identification in human HCC cell lines and their orthotopic xenograft tumors. According to their trends by K-mean clustering, all of the differentially transcribed glycogenes were classified in six clusters. GO analysis of the differentially transcribed glycogenes described them in biological process, subcellular location and molecular function. Furthermore, the partial regulatory network of the differentially transcribed glycogenes was acquired through the IPA. The transcription levels of galnt3, gcnt3, man1a1, mgat5b in non-metastatic and metastatic HCC clinical cancer specimens showed the same changing trends with the results in human HCC cell lines and their orthotopic xenograft tumors, and the divergent transcription levels of gcnt3 and mgat5b were statistically significant. CONCLUSIONS: The transcriptional profiling of glycogenes associated with HCC metastasis was obtained and validated in this study and it might provide novel drug targets and potential biological markers for HCC metastasis. |
format | Online Article Text |
id | pubmed-4169445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41694452014-09-22 The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis Liu, Tianhua Zhang, Shu Chen, Jie Jiang, Kai Zhang, Qinle Guo, Kun Liu, Yinkun PLoS One Research Article BACKGROUND AND OBJECTIVE: Metastasis is one of the important reasons for the poor prognosis of hepatocellular carcinoma (HCC), abnormal glycosylation plays a pivotal role in HCC metastasis. The goal of this study was to screen and validate the transcriptional profiling of glycogenes associated with HCC metastasis. METHODOLOGY: The differentially transcribed glycogenes were screened out by the Human Glycosylation RT(2) Profiler PCR Array, and were identified by qRT-PCR in human HCC cell lines and their orthotopic xenograft tumors. Further analyses were performed with K-mean clustering, Gene Ontology (GO) and ingenuity pathways analysis (IPA). Four differentially transcribed glycogenes were validated in clinical cancer specimens by qRT-PCR. RESULTS: A total of thirty-three differentially transcribed glycogenes were obtained by comparison the transcription in the metastatic human HCC cell lines (MHCC97L, MHCC97H and HCCLM3) with the transcription in the non-metastatic HCC cell line Hep3B. Seven differentially transcribed glycogenes were selected to further identification in human HCC cell lines and their orthotopic xenograft tumors. According to their trends by K-mean clustering, all of the differentially transcribed glycogenes were classified in six clusters. GO analysis of the differentially transcribed glycogenes described them in biological process, subcellular location and molecular function. Furthermore, the partial regulatory network of the differentially transcribed glycogenes was acquired through the IPA. The transcription levels of galnt3, gcnt3, man1a1, mgat5b in non-metastatic and metastatic HCC clinical cancer specimens showed the same changing trends with the results in human HCC cell lines and their orthotopic xenograft tumors, and the divergent transcription levels of gcnt3 and mgat5b were statistically significant. CONCLUSIONS: The transcriptional profiling of glycogenes associated with HCC metastasis was obtained and validated in this study and it might provide novel drug targets and potential biological markers for HCC metastasis. Public Library of Science 2014-09-18 /pmc/articles/PMC4169445/ /pubmed/25232831 http://dx.doi.org/10.1371/journal.pone.0107941 Text en © 2014 Liu et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited. |
spellingShingle | Research Article Liu, Tianhua Zhang, Shu Chen, Jie Jiang, Kai Zhang, Qinle Guo, Kun Liu, Yinkun The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis |
title | The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis |
title_full | The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis |
title_fullStr | The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis |
title_full_unstemmed | The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis |
title_short | The Transcriptional Profiling of Glycogenes Associated with Hepatocellular Carcinoma Metastasis |
title_sort | transcriptional profiling of glycogenes associated with hepatocellular carcinoma metastasis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169445/ https://www.ncbi.nlm.nih.gov/pubmed/25232831 http://dx.doi.org/10.1371/journal.pone.0107941 |
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