Nomogram predicts survival benefit for non-metastatic esophageal cancer patients who underwent preoperative radiotherapy
Authors Xie K, Liu S, Liu J
Received 10 February 2018
Accepted for publication 22 May 2018
Published 18 September 2018 Volume 2018:10 Pages 3657—3668
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Amy Norman
Peer reviewer comments 3
Editor who approved publication: Professor Lu-Zhe Sun
Kenan Xie,1,* Song Liu,2,* Jianjun Liu2
1Department of Cardiothoracic Surgery, Traditional Chinese Medicine Hospital of Taihe County, Taihe, China; 2Department of Head - Neck and Thoracic Surgery, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, Hefei, China
*These authors contributed equally to this work
Background: A prognostic model to predict the individual disease-specific survival (DSS) rates of non-metastatic esophageal cancer (nMEC) patients after preoperative radiotherapy (pRT) has not been established. In the current study, we aimed to establish a survival nomogram for nMEC patients after pRT.
Methods: We identified 2,424 nMEC patients who underwent pRT from the Surveillance, Epidemiology, and End Results database. Approximately, 80% (n=1,948) of the included patients were randomly selected and designated as training data set, and the remaining patients (n=476) were defined as external validation set. Nomogram was established by the training set and validated by the validation set.
Results: According to the results of the multivariate analysis, a nomogram combined with age at diagnosis, sex, tumor location, yp-T stage, yp metastatic lymph node ratio stage (yp-mLNRS), and grade was developed. The C-index of the model was significantly higher than that of yp-TNM staging system (0.62, 95% CI, 0.58 to 0.66 vs 0.55, 95% CI, 0.51 to 0.60; p<0.001). Calibration plots of the nomogram showed that the probability of DSS rates optimally corresponded to the survival rates were observed.
Conclusion: The proposed nomogram resulted in more reliable DSS prediction for nMEC patients in general population, regardless of the patient’s histological type. Upon validation, it will aid in individualized survival prediction and prove useful in clinical decision making in nMECs after pRT.
Keywords: esophageal cancer, preoperative radiotherapy, nomogram, SEER
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