Cargando…
OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma
Esophageal Adenocarcinoma (EAC) is one of the most common gastrointestinal tumors in the world. However, molecular prognostic systems are still lacking for EAC. Hence, we developed an Online consensus Survival analysis web server for Esophageal Adenocarcinoma (OSeac), to centralize published gene ex...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067743/ https://www.ncbi.nlm.nih.gov/pubmed/32211334 http://dx.doi.org/10.3389/fonc.2020.00315 |
_version_ | 1783505443748839424 |
---|---|
author | Wang, Qiang Yan, Zhongyi Ge, Linna Li, Ning Yang, Mengsi Sun, Xiaoxiao Xie, Longxiang Zhang, Guosen Zhu, Wan Wang, Yunlong Li, Yongqiang Li, Xianzhe Guo, Xiangqian |
author_facet | Wang, Qiang Yan, Zhongyi Ge, Linna Li, Ning Yang, Mengsi Sun, Xiaoxiao Xie, Longxiang Zhang, Guosen Zhu, Wan Wang, Yunlong Li, Yongqiang Li, Xianzhe Guo, Xiangqian |
author_sort | Wang, Qiang |
collection | PubMed |
description | Esophageal Adenocarcinoma (EAC) is one of the most common gastrointestinal tumors in the world. However, molecular prognostic systems are still lacking for EAC. Hence, we developed an Online consensus Survival analysis web server for Esophageal Adenocarcinoma (OSeac), to centralize published gene expression data and clinical follow up data of EAC patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). OSeac includes 198 EAC cases with gene expression profiling and relevant clinical long-term follow-up data, and employs the Kaplan Meier (KM) survival plot with hazard ratio (HR) and log rank test to estimate the prognostic potency of genes of interests for EAC patients. Moreover, we have determined the reliability of OSeac by using previously reported prognostic biomarkers such as DKK3, CTO1, and TXNIP. OSeac is free and publicly accessible at http://bioinfo.henu.edu.cn/EAC/EACList.jsp. |
format | Online Article Text |
id | pubmed-7067743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70677432020-03-24 OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma Wang, Qiang Yan, Zhongyi Ge, Linna Li, Ning Yang, Mengsi Sun, Xiaoxiao Xie, Longxiang Zhang, Guosen Zhu, Wan Wang, Yunlong Li, Yongqiang Li, Xianzhe Guo, Xiangqian Front Oncol Oncology Esophageal Adenocarcinoma (EAC) is one of the most common gastrointestinal tumors in the world. However, molecular prognostic systems are still lacking for EAC. Hence, we developed an Online consensus Survival analysis web server for Esophageal Adenocarcinoma (OSeac), to centralize published gene expression data and clinical follow up data of EAC patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). OSeac includes 198 EAC cases with gene expression profiling and relevant clinical long-term follow-up data, and employs the Kaplan Meier (KM) survival plot with hazard ratio (HR) and log rank test to estimate the prognostic potency of genes of interests for EAC patients. Moreover, we have determined the reliability of OSeac by using previously reported prognostic biomarkers such as DKK3, CTO1, and TXNIP. OSeac is free and publicly accessible at http://bioinfo.henu.edu.cn/EAC/EACList.jsp. Frontiers Media S.A. 2020-03-06 /pmc/articles/PMC7067743/ /pubmed/32211334 http://dx.doi.org/10.3389/fonc.2020.00315 Text en Copyright © 2020 Wang, Yan, Ge, Li, Yang, Sun, Xie, Zhang, Zhu, Wang, Li, Li and Guo. http://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 Wang, Qiang Yan, Zhongyi Ge, Linna Li, Ning Yang, Mengsi Sun, Xiaoxiao Xie, Longxiang Zhang, Guosen Zhu, Wan Wang, Yunlong Li, Yongqiang Li, Xianzhe Guo, Xiangqian OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma |
title | OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma |
title_full | OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma |
title_fullStr | OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma |
title_full_unstemmed | OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma |
title_short | OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma |
title_sort | oseac: an online survival analysis tool for esophageal adenocarcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067743/ https://www.ncbi.nlm.nih.gov/pubmed/32211334 http://dx.doi.org/10.3389/fonc.2020.00315 |
work_keys_str_mv | AT wangqiang oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT yanzhongyi oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT gelinna oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT lining oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT yangmengsi oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT sunxiaoxiao oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT xielongxiang oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT zhangguosen oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT zhuwan oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT wangyunlong oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT liyongqiang oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT lixianzhe oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma AT guoxiangqian oseacanonlinesurvivalanalysistoolforesophagealadenocarcinoma |