Abstract: Objective To analyze the clinical characteristics and prognostic risk factors of esophageal signet ring cell carcinoma (SRCC) patients and construct a column chart prediction model.Methods The training queue consists of 226 patients diagnosed with esophageal SRCC from 2010 to 2017 in the SEER database,and the validation queue consists of 21 patients diagnosed with esophageal SRCC in our hospital from January 2010 to January 2019.Use Cox proportional risk regression model for single factor and multivariate analysis.Use the “rms” software package of R software to generate column charts.Results Univariate analysis showed that age,gender,tumor location,local invasion,lymph node metastasis,distant metastasis,surgical treatment,chemotherapy,and radiotherapy were risk factors affecting the prognosis of SRCC patients (P<0.05);In multivariate cox regression analysis,the results showed that tumor location,local invasion,lymph node metastasis,distant metastasis,surgical treatment,chemotherapy,and radiotherapy were independent risk factors affecting the prognosis of SRCC patients (P<0.05);A nomogram prediction model was successfully constructed using multivariate cox regression analysis,with a certain degree of predictive accuracy.Conclusion The nomogram prediction model was successfully constructed based on the risk factors affecting the prognosis of esophageal signet ring cell adenocarcinoma patients in the SEER database,which can provide more accurate predictions for the prognosis of esophageal SRCC patients.

Key words: esophageal signet ring cell adenocarcinoma, prognosis, risk factors, prediction model