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Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis
Gastric cancer (GC) is a common cancerous tumor, and is the third leading cause of cancer mortality worldwide. Although comprehensive therapies of GC have been widely used in clinical set ups, advanced gastric cancer carries is characterized by poor prognosis, probably due to lack of effective progn...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270587/ https://www.ncbi.nlm.nih.gov/pubmed/34232196 http://dx.doi.org/10.1097/MD.0000000000026554 |
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author | Chen, Luting Fei, Yuchang Zhao, Yurong Chen, Quan Chen, Peifeng Pan, Lei |
author_facet | Chen, Luting Fei, Yuchang Zhao, Yurong Chen, Quan Chen, Peifeng Pan, Lei |
author_sort | Chen, Luting |
collection | PubMed |
description | Gastric cancer (GC) is a common cancerous tumor, and is the third leading cause of cancer mortality worldwide. Although comprehensive therapies of GC have been widely used in clinical set ups, advanced gastric cancer carries is characterized by poor prognosis, probably due to lack of effective prognostic biomarkers. Mammalian histone deacetylase family, histone deacetylases (HDACs), play significant roles in initiation and progression of tumors. Aberrant expression of HDACs is reported in many cancer types including gastric cancer, and may serve as candidate biomarkers or therapeutic targets for GC patients. Gene Expression Profiling Interactive Analysis was used to explore mRNA levels of HDACs in GC. Kaplan–Meier plotter was used to determine the prognostic value of HDACs mRNA expression in GC. Genomic profiles including mutations of HDACs were retrieved from cBioPortal webserver. A protein–protein interaction network was constructed using STRING database. GeneMANIA was used to retrieve additional genes or proteins related to HDACs. R software was used for functional enrichment analyses. Analysis of mRNA levels of HDAC1/2/4/8/9 showed that they were upregulated in GC tissues, whereas HDAC6/10 was downregulated in GC tissues. Aberrant expression of HDAC1/3/4/5/6/7/8/10/11 was all correlated with prognosis in GC. In addition, expression levels of HDACs were correlated with different Lauren classifications, and clinical stages, lymph node status, treatment, and human epidermal growth factor receptor 2 status in GC. The findings of this study showed that HDAC members are potential biomarkers for diagnosis or prognosis of gastric cancer. However, further studies should be conducted to validate these findings. |
format | Online Article Text |
id | pubmed-8270587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-82705872021-07-12 Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis Chen, Luting Fei, Yuchang Zhao, Yurong Chen, Quan Chen, Peifeng Pan, Lei Medicine (Baltimore) 5700 Gastric cancer (GC) is a common cancerous tumor, and is the third leading cause of cancer mortality worldwide. Although comprehensive therapies of GC have been widely used in clinical set ups, advanced gastric cancer carries is characterized by poor prognosis, probably due to lack of effective prognostic biomarkers. Mammalian histone deacetylase family, histone deacetylases (HDACs), play significant roles in initiation and progression of tumors. Aberrant expression of HDACs is reported in many cancer types including gastric cancer, and may serve as candidate biomarkers or therapeutic targets for GC patients. Gene Expression Profiling Interactive Analysis was used to explore mRNA levels of HDACs in GC. Kaplan–Meier plotter was used to determine the prognostic value of HDACs mRNA expression in GC. Genomic profiles including mutations of HDACs were retrieved from cBioPortal webserver. A protein–protein interaction network was constructed using STRING database. GeneMANIA was used to retrieve additional genes or proteins related to HDACs. R software was used for functional enrichment analyses. Analysis of mRNA levels of HDAC1/2/4/8/9 showed that they were upregulated in GC tissues, whereas HDAC6/10 was downregulated in GC tissues. Aberrant expression of HDAC1/3/4/5/6/7/8/10/11 was all correlated with prognosis in GC. In addition, expression levels of HDACs were correlated with different Lauren classifications, and clinical stages, lymph node status, treatment, and human epidermal growth factor receptor 2 status in GC. The findings of this study showed that HDAC members are potential biomarkers for diagnosis or prognosis of gastric cancer. However, further studies should be conducted to validate these findings. Lippincott Williams & Wilkins 2021-07-09 /pmc/articles/PMC8270587/ /pubmed/34232196 http://dx.doi.org/10.1097/MD.0000000000026554 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 5700 Chen, Luting Fei, Yuchang Zhao, Yurong Chen, Quan Chen, Peifeng Pan, Lei Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis |
title | Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis |
title_full | Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis |
title_fullStr | Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis |
title_full_unstemmed | Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis |
title_short | Expression and prognostic analyses of HDACs in human gastric cancer based on bioinformatic analysis |
title_sort | expression and prognostic analyses of hdacs in human gastric cancer based on bioinformatic analysis |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270587/ https://www.ncbi.nlm.nih.gov/pubmed/34232196 http://dx.doi.org/10.1097/MD.0000000000026554 |
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