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Article Open Access

Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis

  • Authors:
    • Qiang Wang
    • Fengling Wang
    • Jiajia Lv
    • Junfang Xin
    • Longxiang Xie
    • Wan Zhu
    • Yitai Tang
    • Yongqiang Li
    • Xiaofang Zhao
    • Yunlong Wang
    • Xianzhe Li
    • Xiangqian Guo
  • View Affiliations / Copyright

    Affiliations: Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Cell Signal Transduction Laboratory, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, Henan 475004, P.R. China, Department of Anesthesia, Stanford University, Stanford, CA 94305, USA, Department of Pathology, Stanford University, Stanford, CA 94305, USA, Jiangsu SuperBio Co., Ltd., Nanjing, Jiangsu 210061, P.R. China, Henan Bioengineering Research Center, Zhengzhou, Henan 450046, P.R. China, Department of Thoracic Surgery, The Affiliated Nanshi Hospital of Henan University, Nanyang, Henan 473003, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1199-1206
    |
    Published online on: June 5, 2019
       https://doi.org/10.3892/ol.2019.10440
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Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the most common types of cancer worldwide. However, operative diagnostic and prognostic systems for ESCC remain to be established. To improve assessment of the prognosis for patients with ESCC, the present study developed an online consensus survival tool for ESCC, termed OSescc. OSescc was built using 264 ESCC cases with gene expression data and relevant clinical information obtained from the Gene Expression Omnibus and The Cancer Genome Atlas databases. Kaplan‑Meier survival plots with hazard ratios and P‑values were generated by OSescc to predict the association between potential biomarkers and relapse free survival and overall survival. In addition, the current study integrated a function by which one could assess the prognosis based on an individual probe or the mean value of multiple probes for each gene, which helped improve the evaluation of the validity and reliability of the potential prognosis biomarkers. OSescc can be accessed at bioinfo.henu.edu.cn/DBList.jsp.
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Copy and paste a formatted citation
Spandidos Publications style
Wang Q, Wang F, Lv J, Xin J, Xie L, Zhu W, Tang Y, Li Y, Zhao X, Wang Y, Wang Y, et al: Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis. Oncol Lett 18: 1199-1206, 2019.
APA
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W. ... Guo, X. (2019). Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis. Oncology Letters, 18, 1199-1206. https://doi.org/10.3892/ol.2019.10440
MLA
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W., Tang, Y., Li, Y., Zhao, X., Wang, Y., Li, X., Guo, X."Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis". Oncology Letters 18.2 (2019): 1199-1206.
Chicago
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W., Tang, Y., Li, Y., Zhao, X., Wang, Y., Li, X., Guo, X."Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis". Oncology Letters 18, no. 2 (2019): 1199-1206. https://doi.org/10.3892/ol.2019.10440
Copy and paste a formatted citation
x
Spandidos Publications style
Wang Q, Wang F, Lv J, Xin J, Xie L, Zhu W, Tang Y, Li Y, Zhao X, Wang Y, Wang Y, et al: Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis. Oncol Lett 18: 1199-1206, 2019.
APA
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W. ... Guo, X. (2019). Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis. Oncology Letters, 18, 1199-1206. https://doi.org/10.3892/ol.2019.10440
MLA
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W., Tang, Y., Li, Y., Zhao, X., Wang, Y., Li, X., Guo, X."Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis". Oncology Letters 18.2 (2019): 1199-1206.
Chicago
Wang, Q., Wang, F., Lv, J., Xin, J., Xie, L., Zhu, W., Tang, Y., Li, Y., Zhao, X., Wang, Y., Li, X., Guo, X."Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis". Oncology Letters 18, no. 2 (2019): 1199-1206. https://doi.org/10.3892/ol.2019.10440
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