ECCDIA: an interactive web tool for the comprehensive analysis of clinical and survival data of esophageal cancer patien
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ECCDIA: an interactive web tool for the comprehensive analysis of clinical and survival data of esophageal cancer patients Jingcheng Yang1†, Jun Shang1†, Qian Song1†, Zuyi Yang2, Jianing Chen3, Ying Yu1,4,5* and Leming Shi1,4,5*
Abstract Background: 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. Methods: The clinical data were obtained from The Surveillance, Epidemiology, and End Results (SEER) database. Seven analysis and visualization modules were built with Shiny. Results: The 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. Conclusion: ECCDIA 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. Keywords: Esophageal cancer, Clinical data mining, Survival analysis, Nomogram, SEER
Background Esophageal cancer (EC) is considered as one of the most deadly malignancies with respect to incidence and mortality rate [1, 2]. Globally, EC was ranked the seventh for the incidence rate and the sixth for the mortality rate in 2018 [2]. Approximately 17,650 new cases of EC are expected to occur and 16,080 patients are predicted to die * Correspondence: [email protected]; [email protected] † Jingcheng Yang, Jun Shang and Qian Song are joint first authors. 1 State Key Laboratory of Genetic Engineering, School of Life Sciences and Shanghai Cancer Hospital/Cancer Institute, Fudan University, Shanghai 200438, China Full list of author information is available at the end of the article
from esophageal cancer in the United States in 2019 [1]. Previous studies have revealed numerous risk factors that may affect the prognosis of EC patients [3–6]. Nevertheless, these studies have been outdated and unable to provide an interactive and continuously updated result for researchers and physicians. Population-based studies have been widely utilized to predict patients’ survival out
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