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OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer
Evaluating the prognostic value of genes of interest in different populations of gastric cancer (GC) is difficult and time-consuming for basic and translational researchers even though many datasets are available in public dataset depositories. In the current study, we developed a robust web-based p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965707/ https://www.ncbi.nlm.nih.gov/pubmed/35371973 http://dx.doi.org/10.3389/fonc.2022.856988 |
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author | Xie, Longxiang Wang, Qiang Yan, Zhongyi Han, Yali Ma, Xiaoyu Li, Huimin Zhang, Lu Li, Xianzhe Guo, Xiangqian |
author_facet | Xie, Longxiang Wang, Qiang Yan, Zhongyi Han, Yali Ma, Xiaoyu Li, Huimin Zhang, Lu Li, Xianzhe Guo, Xiangqian |
author_sort | Xie, Longxiang |
collection | PubMed |
description | Evaluating the prognostic value of genes of interest in different populations of gastric cancer (GC) is difficult and time-consuming for basic and translational researchers even though many datasets are available in public dataset depositories. In the current study, we developed a robust web-based portal called OSgc (Online consensus Survival analysis of gastric cancer) that enables easy and swift verification of known and novel biomarker candidates in GC. OSgc is composed of gene expression profiling data and clinical follow-up information of 1,824 clinical GC cases, which are collected from 7 public independent datasets derived from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). By OSgc, users input the official gene symbol and will promptly retrieve the Kaplan–Meier survival plot with hazard ratio (HR) and log rank p value on the output webpage, by which users could assess the prognostic value of interesting genes for GC patients. Five survival end points containing overall survival, progression-free survival, progression-free interval, relapse-free survival, and disease-free survival could be measured in OSgc. OSgc can greatly help cancer biologists and clinicians to explore the effect of gene expression on patient survival. OSgc is freely available without restrictions at http://bioinfo.henu.edu.cn/GC/GCList.jsp. |
format | Online Article Text |
id | pubmed-8965707 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89657072022-03-31 OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer Xie, Longxiang Wang, Qiang Yan, Zhongyi Han, Yali Ma, Xiaoyu Li, Huimin Zhang, Lu Li, Xianzhe Guo, Xiangqian Front Oncol Oncology Evaluating the prognostic value of genes of interest in different populations of gastric cancer (GC) is difficult and time-consuming for basic and translational researchers even though many datasets are available in public dataset depositories. In the current study, we developed a robust web-based portal called OSgc (Online consensus Survival analysis of gastric cancer) that enables easy and swift verification of known and novel biomarker candidates in GC. OSgc is composed of gene expression profiling data and clinical follow-up information of 1,824 clinical GC cases, which are collected from 7 public independent datasets derived from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). By OSgc, users input the official gene symbol and will promptly retrieve the Kaplan–Meier survival plot with hazard ratio (HR) and log rank p value on the output webpage, by which users could assess the prognostic value of interesting genes for GC patients. Five survival end points containing overall survival, progression-free survival, progression-free interval, relapse-free survival, and disease-free survival could be measured in OSgc. OSgc can greatly help cancer biologists and clinicians to explore the effect of gene expression on patient survival. OSgc is freely available without restrictions at http://bioinfo.henu.edu.cn/GC/GCList.jsp. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8965707/ /pubmed/35371973 http://dx.doi.org/10.3389/fonc.2022.856988 Text en Copyright © 2022 Xie, Wang, Yan, Han, Ma, Li, Zhang, Li and Guo https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Xie, Longxiang Wang, Qiang Yan, Zhongyi Han, Yali Ma, Xiaoyu Li, Huimin Zhang, Lu Li, Xianzhe Guo, Xiangqian OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer |
title | OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer |
title_full | OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer |
title_fullStr | OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer |
title_full_unstemmed | OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer |
title_short | OSgc: A Web Portal to Assess the Performance of Prognostic Biomarkers in Gastric Cancer |
title_sort | osgc: a web portal to assess the performance of prognostic biomarkers in gastric cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965707/ https://www.ncbi.nlm.nih.gov/pubmed/35371973 http://dx.doi.org/10.3389/fonc.2022.856988 |
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