Abstract
BackgroundEsophageal cancer (EC) is considered as one of the deadliest malignancies with respect to incidence and mortality rate, and numerous risk factors may affect the prognosis of EC patients. For better understanding of the risk factors associated with the onset and prognosis of this malignancy, we develop an interactive web-based tool for the convenient analysis of clinical and survival characteristics of EC patients.MethodsThe clinical data were obtained from The Surveillance, Epidemiology, and End Results (SEER) database. Seven analysis and visualization modules were built with Shiny.ResultsThe Esophageal Cancer Clinical Data Interactive Analysis (ECCDIA, http://webapps.3steps.cn/ECCDIA/) was developed to provide basic data analysis, visualization, survival analysis, and nomogram of the overall group and subgroups of 77,273 EC patients recorded in SEER. The basic data analysis modules contained distribution analysis of clinical factor ratios, Sankey plot analysis for relationships between clinical factors, and a map for visualizing the distribution of clinical factors. The survival analysis included Kaplan-Meier (K-M) analysis and Cox analysis for different subgroups of EC patients. The nomogram module enabled clinicians to precisely predict the survival probability of different subgroups of EC patients.ConclusionECCDIA provides clinicians with an interactive prediction and visualization tool for visualizing invaluable clinical and prognostic information of individual EC patients, further providing useful information for better understanding of esophageal cancer.
Highlights
Esophageal cancer (EC) is considered as one of the deadliest malignancies with respect to incidence and mortality rate, and numerous risk factors may affect the prognosis of EC patients
With the rise of interactive data analysis, there have been many tools to help us understand the molecular characteristics of EC, Yang et al BMC Cancer (2020) 20:985 but there is still a lack of effective interactive web tools based on population statistics data of EC to help us fully understand the risk factors associated with the onset and prognosis of this malignancy
The Surveillance, Epidemiology, and End Results (SEER) database is an authoritative source for cancer statistics with comprehensive clinical and pathological information of cancer cases reported in the United States [8]
Summary
Esophageal cancer (EC) is considered as one of the deadliest malignancies with respect to incidence and mortality rate, and numerous risk factors may affect the prognosis of EC patients. For better understanding of the risk factors associated with the onset and prognosis of this malignancy, we develop an interactive web-based tool for the convenient analysis of clinical and survival characteristics of EC patients. With the rise of interactive data analysis, there have been many tools to help us understand the molecular characteristics of EC, Yang et al BMC Cancer (2020) 20:985 but there is still a lack of effective interactive web tools based on population statistics data of EC to help us fully understand the risk factors associated with the onset and prognosis of this malignancy. Clinicians who would like to obtain valuable and updated information on EC prognosis may find it hard to navigate the rich data in SEER in whichever way they want
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