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OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer
Lung cancer is the principal cause of leading cancer-related incidence and mortality in the world. Various studies have excavated the potential prognostic biomarkers for cancer patients based on gene expression profiles. However, most of these reported biomarkers lack independent validation in multi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264384/ https://www.ncbi.nlm.nih.gov/pubmed/32528519 http://dx.doi.org/10.3389/fgene.2020.00420 |
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author | Yan, Zhongyi Wang, Qiang Lu, Zhendong Sun, Xiaoxiao Song, Pengfei Dang, Yifang Xie, Longxiang Zhang, Lu Li, Yongqiang Zhu, Wan Xie, Tiantian Ma, Jing Zhang, Yijie Guo, Xiangqian |
author_facet | Yan, Zhongyi Wang, Qiang Lu, Zhendong Sun, Xiaoxiao Song, Pengfei Dang, Yifang Xie, Longxiang Zhang, Lu Li, Yongqiang Zhu, Wan Xie, Tiantian Ma, Jing Zhang, Yijie Guo, Xiangqian |
author_sort | Yan, Zhongyi |
collection | PubMed |
description | Lung cancer is the principal cause of leading cancer-related incidence and mortality in the world. Various studies have excavated the potential prognostic biomarkers for cancer patients based on gene expression profiles. However, most of these reported biomarkers lack independent validation in multiple cohorts. Herein, we collected 35 datasets with long-term follow-up clinical information from TCGA (2 cohorts), GEO (32 cohorts), and Roepman study (1 cohort), and developed a web server named OSluca (Online consensus Survival for Lung Cancer) to assess the prognostic value of genes in lung cancer. The input of OSluca is an official gene symbol, and the output web page of OSluca displays the survival analysis summary with a forest plot and a survival table from Cox proportional regression in each cohort and combined cohorts. To test the performance of OSluca, 104 previously reported prognostic biomarkers in lung carcinoma were evaluated in OSluca. In conclusion, OSluca is a highly valuable and interactive prognostic web server for lung cancer. It can be accessed at http:// bioinfo.henu.edu.cn/LUCA/LUCAList.jsp. |
format | Online Article Text |
id | pubmed-7264384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72643842020-06-10 OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer Yan, Zhongyi Wang, Qiang Lu, Zhendong Sun, Xiaoxiao Song, Pengfei Dang, Yifang Xie, Longxiang Zhang, Lu Li, Yongqiang Zhu, Wan Xie, Tiantian Ma, Jing Zhang, Yijie Guo, Xiangqian Front Genet Genetics Lung cancer is the principal cause of leading cancer-related incidence and mortality in the world. Various studies have excavated the potential prognostic biomarkers for cancer patients based on gene expression profiles. However, most of these reported biomarkers lack independent validation in multiple cohorts. Herein, we collected 35 datasets with long-term follow-up clinical information from TCGA (2 cohorts), GEO (32 cohorts), and Roepman study (1 cohort), and developed a web server named OSluca (Online consensus Survival for Lung Cancer) to assess the prognostic value of genes in lung cancer. The input of OSluca is an official gene symbol, and the output web page of OSluca displays the survival analysis summary with a forest plot and a survival table from Cox proportional regression in each cohort and combined cohorts. To test the performance of OSluca, 104 previously reported prognostic biomarkers in lung carcinoma were evaluated in OSluca. In conclusion, OSluca is a highly valuable and interactive prognostic web server for lung cancer. It can be accessed at http:// bioinfo.henu.edu.cn/LUCA/LUCAList.jsp. Frontiers Media S.A. 2020-05-26 /pmc/articles/PMC7264384/ /pubmed/32528519 http://dx.doi.org/10.3389/fgene.2020.00420 Text en Copyright © 2020 Yan, Wang, Lu, Sun, Song, Dang, Xie, Zhang, Li, Zhu, Xie, Ma, Zhang 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 | Genetics Yan, Zhongyi Wang, Qiang Lu, Zhendong Sun, Xiaoxiao Song, Pengfei Dang, Yifang Xie, Longxiang Zhang, Lu Li, Yongqiang Zhu, Wan Xie, Tiantian Ma, Jing Zhang, Yijie Guo, Xiangqian OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title | OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_full | OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_fullStr | OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_full_unstemmed | OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_short | OSluca: An Interactive Web Server to Evaluate Prognostic Biomarkers for Lung Cancer |
title_sort | osluca: an interactive web server to evaluate prognostic biomarkers for lung cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264384/ https://www.ncbi.nlm.nih.gov/pubmed/32528519 http://dx.doi.org/10.3389/fgene.2020.00420 |
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