ArticleOncology letters2019
Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis.
Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Expression of tripartite motif-containing 44 and its prognostic and clinicopathological value in human malignancies:a meta-analysis.BMC cancer · 2020Pooled it
- AKT/mTOR as a targetable hub to overcome multimodal resistance to EGFR inhibitors in oesophageal squamous cell carcinoma.British journal of cancer · 2025Article
- Roles of long non-coding RNAs in oesophageal cancer pathogenesis.International journal of experimental pathology · 2025Review
- A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions.Diagnostics (Basel, Switzerland) · 2023Review
- The Emerging Role of Long Non-Coding RNAs in Esophageal Cancer: Functions in Tumorigenesis and Clinical Implications.Frontiers in pharmacology · 2022Review
- Prognostic value of MTA1, SOX4 and EZH2 expression in esophageal squamous cell carcinoma.Experimental and therapeutic medicine · 2021Article
- The Partial Role of KLF4 and KLF5 in Gastrointestinal Tumors.Gastroenterology research and practice · 2021Review
- Correlation Analysis of circRNA Circ_0071662 in Diagnosis and Prognosis of Esophageal Squamous Cell Carcinoma.International journal of general medicine · 2021Article
- High expression of CIN85 promotes proliferation and invasion of human esophageal squamous cell carcinoma.Molecular medicine reports · 2021Article
- UBE2T Contributes to the Prognosis of Esophageal Squamous Cell Carcinoma.Pathology oncology research : POR · 2021Article
- ECCDIA: an interactive web tool for the comprehensive analysis of clinical and survival data of esophageal cancer patients.BMC cancer · 2020Article
- Article
- Upregulated expression of MMP family genes is associated with poor survival in patients with esophageal squamous cell carcinoma via regulation of proliferation and epithelial‑mesenchymal transition.Oncology reports · 2020Article
- Identification of Autophagy-Related Genes and Small-Molecule Drugs in Esophageal Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Review
- OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma.Cancer medicine · 2020Article
- OSlihc: An Online Prognostic Biomarker Analysis Tool for Hepatocellular Carcinoma.Frontiers in pharmacology · 2020Article
- Comprehensive Review of Web Servers and Bioinformatics Tools for Cancer Prognosis Analysis.Frontiers in oncology · 2020Review
- OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma.Frontiers in oncology · 2020Article
- OSlgg: An Online Prognostic Biomarker Analysis Tool for Low-Grade Glioma.Frontiers in oncology · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.