Esophageal squamous cell carcinoma prognosis index model construction method based on clinical phenotype and LASSO

Abstract

The invention provides an esophageal squamous cell carcinoma prognosis index model construction method based on clinical phenotypes and LASSO. The method comprises the steps: firstly, collecting M types of clinical phenotype index information and lifetime information of an esophageal carcinoma patient, and enabling the information to serve as an original data set; then, by using a KaplanMeier method and a logrank method, researching the relationship between the clinical phenotypic index and lifetime information of the esophageal cancer patient; analyzing clinical phenotypic indexes influencing survival prognosis of the patient by utilizing single-factor COX regression and multi-factor COX regression; and then, analyzing and screening indexes with higher survival relevancy with the patient through an LASSO regression method, constructing a prognosis index of a patient prognosis survival evaluation model, solving the prognosis index of the patient through a clinical phenotypic index of the patient, and further judging the prognosis survival risk of the patient. According to the method, the postoperative survival condition of the esophageal squamous cell carcinoma patient can be accurately predicted, the prognosis risk prediction capability is improved, and the prognosis risk prediction cost is reduced.

Description

technical field [0001] The invention relates to the technical field of cancer risk assessment, in particular to a method for constructing an esophageal squamous cell carcinoma prognosis index model based on clinical phenotype and LASSO. Background technique [0002] Esophageal cancer is one of the major malignant tumors that threaten the health of all human beings. Its incidence rate ranks 8th among malignant tumors in the world, and its mortality rate ranks 6th. The number of people who die from esophageal cancer in the world exceeds 300,000 each year. Esophageal cancer is mainly Can be divided into esophageal squamous cell carcinoma and esophageal adenocarcinoma. Esophageal squamous cell carcinoma is mainly distributed in Asia, mainly in China, and esophageal adenocarcinoma is mainly distributed in Europe and America, mainly in the United States. my country is one of the places with a high incidence of esophageal cancer in the world. About half of the cases of esophageal ...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies in the existing background technology, the present invention proposes a method for constructing a prognostic index model of esophageal squamous cell carcinoma based on clinical phenotype and LASSO, which solves the problem that the existing evaluation model has poor prediction effect and cannot help patients judge the prognosis effect technical issues

Images