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OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma
Myxofibrosarcoma is a complex genetic disease with poor prognosis. However, more effective biomarkers that forebode poor prognosis in Myxofibrosarcoma remain to be determined. Herein, utilizing gene expression profiling data and clinical follow-up data of Myxofibrosarcoma cases in three independent...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766036/ https://www.ncbi.nlm.nih.gov/pubmed/33352742 http://dx.doi.org/10.3390/genes11121523 |
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author | Li, Huimin Xie, Longxiang Wang, Qiang Dang, Yifang Sun, Xiaoxiao Zhang, Lu Han, Yali Yan, Zhongyi Dong, Huan Zheng, Hong Li, Yongqiang Zhu, Wan Guo, Xiangqian |
author_facet | Li, Huimin Xie, Longxiang Wang, Qiang Dang, Yifang Sun, Xiaoxiao Zhang, Lu Han, Yali Yan, Zhongyi Dong, Huan Zheng, Hong Li, Yongqiang Zhu, Wan Guo, Xiangqian |
author_sort | Li, Huimin |
collection | PubMed |
description | Myxofibrosarcoma is a complex genetic disease with poor prognosis. However, more effective biomarkers that forebode poor prognosis in Myxofibrosarcoma remain to be determined. Herein, utilizing gene expression profiling data and clinical follow-up data of Myxofibrosarcoma cases in three independent cohorts with a total of 128 Myxofibrosarcoma samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, we constructed an easy-to-use web tool, named Online consensus Survival analysis for Myxofibrosarcoma (OSmfs) to analyze the prognostic value of certain genes. Through retrieving the database, users generate a Kaplan–Meier plot with log-rank test and hazard ratio (HR) to assess prognostic-related genes or discover novel Myxofibrosarcoma prognostic biomarkers. The effectiveness and availability of OSmfs were validated using genes in ever reports predicting the prognosis of Myxofibrosarcoma patients. Furthermore, utilizing the cox analysis data and transcriptome data establishing OSmfs, seven genes were selected and considered as more potentially prognostic biomarkers through overlapping and ROC analysis. In conclusion, OSmfs is a promising web tool to evaluate the prognostic potency and reliability of genes in Myxofibrosarcoma, which may significantly contribute to the enrichment of novelly potential prognostic biomarkers and therapeutic targets for Myxofibrosarcoma. |
format | Online Article Text |
id | pubmed-7766036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77660362020-12-28 OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma Li, Huimin Xie, Longxiang Wang, Qiang Dang, Yifang Sun, Xiaoxiao Zhang, Lu Han, Yali Yan, Zhongyi Dong, Huan Zheng, Hong Li, Yongqiang Zhu, Wan Guo, Xiangqian Genes (Basel) Article Myxofibrosarcoma is a complex genetic disease with poor prognosis. However, more effective biomarkers that forebode poor prognosis in Myxofibrosarcoma remain to be determined. Herein, utilizing gene expression profiling data and clinical follow-up data of Myxofibrosarcoma cases in three independent cohorts with a total of 128 Myxofibrosarcoma samples from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, we constructed an easy-to-use web tool, named Online consensus Survival analysis for Myxofibrosarcoma (OSmfs) to analyze the prognostic value of certain genes. Through retrieving the database, users generate a Kaplan–Meier plot with log-rank test and hazard ratio (HR) to assess prognostic-related genes or discover novel Myxofibrosarcoma prognostic biomarkers. The effectiveness and availability of OSmfs were validated using genes in ever reports predicting the prognosis of Myxofibrosarcoma patients. Furthermore, utilizing the cox analysis data and transcriptome data establishing OSmfs, seven genes were selected and considered as more potentially prognostic biomarkers through overlapping and ROC analysis. In conclusion, OSmfs is a promising web tool to evaluate the prognostic potency and reliability of genes in Myxofibrosarcoma, which may significantly contribute to the enrichment of novelly potential prognostic biomarkers and therapeutic targets for Myxofibrosarcoma. MDPI 2020-12-19 /pmc/articles/PMC7766036/ /pubmed/33352742 http://dx.doi.org/10.3390/genes11121523 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Huimin Xie, Longxiang Wang, Qiang Dang, Yifang Sun, Xiaoxiao Zhang, Lu Han, Yali Yan, Zhongyi Dong, Huan Zheng, Hong Li, Yongqiang Zhu, Wan Guo, Xiangqian OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma |
title | OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma |
title_full | OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma |
title_fullStr | OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma |
title_full_unstemmed | OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma |
title_short | OSmfs: An Online Interactive Tool to Evaluate Prognostic Markers for Myxofibrosarcoma |
title_sort | osmfs: an online interactive tool to evaluate prognostic markers for myxofibrosarcoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766036/ https://www.ncbi.nlm.nih.gov/pubmed/33352742 http://dx.doi.org/10.3390/genes11121523 |
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