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A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients

Genetic alterations are vital to the progression of osteosarcoma carcinoma. The present study investigated a panel of gene signatures that could evaluate prognosis in osteosarcoma based on data from the Therapeutically Applicable Research To Generate Effective Treatments initiative. Osteosarcoma mes...

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Autores principales: Wu, Bo, Wang, Zhan, Lin, Nong, Yan, Xiaobo, Lv, Zhangchun, Ying, Zhimin, Ye, Zhaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036027/
https://www.ncbi.nlm.nih.gov/pubmed/33832059
http://dx.doi.org/10.1097/MD.0000000000024118
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author Wu, Bo
Wang, Zhan
Lin, Nong
Yan, Xiaobo
Lv, Zhangchun
Ying, Zhimin
Ye, Zhaoming
author_facet Wu, Bo
Wang, Zhan
Lin, Nong
Yan, Xiaobo
Lv, Zhangchun
Ying, Zhimin
Ye, Zhaoming
author_sort Wu, Bo
collection PubMed
description Genetic alterations are vital to the progression of osteosarcoma carcinoma. The present study investigated a panel of gene signatures that could evaluate prognosis in osteosarcoma based on data from the Therapeutically Applicable Research To Generate Effective Treatments initiative. Osteosarcoma messenger RNA (mRNA) profiles and clinical data were downloaded from the therapeutically applicable research to generate effective treatments database. Patients with osteosarcoma were divided into two groups based on findings at diagnosis: with and without metastasis. Differentially expressed mRNAs were compared and analyzed between groups. Univariate and multivariate Cox regression analyses identified a set of eight mRNAs with the ability to classify patients into high-risk and low-risk groups with significantly different overall survival times. Further analysis indicated that the eight-mRNA signature was an independent prognostic factor after adjusting for other clinical factors. Receiver operating characteristic curve analysis demonstrated a good performance of the eight-mRNA signature. Further, the biological processes and signaling pathways of the eight-mRNA signature were reviewed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes resources. Finally, the results of the TCGA analysis were verified by other cohorts from Gene Expression Omnibus database. The identification of an eight-mRNA signature not only provides a prognostic biomarker of osteosarcoma but also offers the potential of novel therapeutic targets for its treatment.
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spelling pubmed-80360272021-04-13 A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients Wu, Bo Wang, Zhan Lin, Nong Yan, Xiaobo Lv, Zhangchun Ying, Zhimin Ye, Zhaoming Medicine (Baltimore) 5700 Genetic alterations are vital to the progression of osteosarcoma carcinoma. The present study investigated a panel of gene signatures that could evaluate prognosis in osteosarcoma based on data from the Therapeutically Applicable Research To Generate Effective Treatments initiative. Osteosarcoma messenger RNA (mRNA) profiles and clinical data were downloaded from the therapeutically applicable research to generate effective treatments database. Patients with osteosarcoma were divided into two groups based on findings at diagnosis: with and without metastasis. Differentially expressed mRNAs were compared and analyzed between groups. Univariate and multivariate Cox regression analyses identified a set of eight mRNAs with the ability to classify patients into high-risk and low-risk groups with significantly different overall survival times. Further analysis indicated that the eight-mRNA signature was an independent prognostic factor after adjusting for other clinical factors. Receiver operating characteristic curve analysis demonstrated a good performance of the eight-mRNA signature. Further, the biological processes and signaling pathways of the eight-mRNA signature were reviewed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes resources. Finally, the results of the TCGA analysis were verified by other cohorts from Gene Expression Omnibus database. The identification of an eight-mRNA signature not only provides a prognostic biomarker of osteosarcoma but also offers the potential of novel therapeutic targets for its treatment. Lippincott Williams & Wilkins 2021-04-09 /pmc/articles/PMC8036027/ /pubmed/33832059 http://dx.doi.org/10.1097/MD.0000000000024118 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 5700
Wu, Bo
Wang, Zhan
Lin, Nong
Yan, Xiaobo
Lv, Zhangchun
Ying, Zhimin
Ye, Zhaoming
A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients
title A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients
title_full A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients
title_fullStr A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients
title_full_unstemmed A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients
title_short A panel of eight mRNA signatures improves prognosis prediction of osteosarcoma patients
title_sort panel of eight mrna signatures improves prognosis prediction of osteosarcoma patients
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036027/
https://www.ncbi.nlm.nih.gov/pubmed/33832059
http://dx.doi.org/10.1097/MD.0000000000024118
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