Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma

BACKGROUND: OS is the most common malignant tumor of bone which was featured with osteoid or immature bone produced by the malignant cells, and biomarkers are urgently needed to identify patients with this aggressive disease. METHODS: We downloaded gene expression profiles from GEO and TARGET datase...

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Autores principales: Guan, Xiaoqing, Guan, Zhiyuan, Song, Chunli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106759/
https://www.ncbi.nlm.nih.gov/pubmed/32256213
http://dx.doi.org/10.1186/s12935-020-01179-x
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author Guan, Xiaoqing
Guan, Zhiyuan
Song, Chunli
author_facet Guan, Xiaoqing
Guan, Zhiyuan
Song, Chunli
author_sort Guan, Xiaoqing
collection PubMed
description BACKGROUND: OS is the most common malignant tumor of bone which was featured with osteoid or immature bone produced by the malignant cells, and biomarkers are urgently needed to identify patients with this aggressive disease. METHODS: We downloaded gene expression profiles from GEO and TARGET datasets for OS, respectively, and performed WGCNA to identify the key module. Whereafter, functional annotation and GSEA demonstrated the relationships between target genes and OS. RESULTS: In this study, we discovered four key genes—ALOX5AP, HLA-DMB, HLA-DRA and SPINT2 as new prognostic markers and confirmed their relationship with OS metastasis in the validation set. CONCLUSIONS: In conclusion, ALOX5AP, HLA-DMB, HLA-DRA and SPINT2 were identified by bioinformatics analysis as possible prognostic markers for OS metastasis.
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spelling pubmed-71067592020-04-01 Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma Guan, Xiaoqing Guan, Zhiyuan Song, Chunli Cancer Cell Int Primary Research BACKGROUND: OS is the most common malignant tumor of bone which was featured with osteoid or immature bone produced by the malignant cells, and biomarkers are urgently needed to identify patients with this aggressive disease. METHODS: We downloaded gene expression profiles from GEO and TARGET datasets for OS, respectively, and performed WGCNA to identify the key module. Whereafter, functional annotation and GSEA demonstrated the relationships between target genes and OS. RESULTS: In this study, we discovered four key genes—ALOX5AP, HLA-DMB, HLA-DRA and SPINT2 as new prognostic markers and confirmed their relationship with OS metastasis in the validation set. CONCLUSIONS: In conclusion, ALOX5AP, HLA-DMB, HLA-DRA and SPINT2 were identified by bioinformatics analysis as possible prognostic markers for OS metastasis. BioMed Central 2020-03-30 /pmc/articles/PMC7106759/ /pubmed/32256213 http://dx.doi.org/10.1186/s12935-020-01179-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Guan, Xiaoqing
Guan, Zhiyuan
Song, Chunli
Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
title Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
title_full Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
title_fullStr Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
title_full_unstemmed Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
title_short Expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
title_sort expression profile analysis identifies key genes as prognostic markers for metastasis of osteosarcoma
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106759/
https://www.ncbi.nlm.nih.gov/pubmed/32256213
http://dx.doi.org/10.1186/s12935-020-01179-x
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AT songchunli expressionprofileanalysisidentifieskeygenesasprognosticmarkersformetastasisofosteosarcoma

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