Model construction method for predicting prognosis risk of early-stage colon cancer patient

Abstract

The invention relates to a model construction method for predicting the prognosis risk of an early-stage colon cancer patient. The model construction method specifically comprises the following steps: firstly, obtaining a tumor tissue specimen of the patient through an operation; detecting the expression of the gene content in a tumor tissue sample of a patient by using difference analysis; then screening genes for constructing a risk model by using single-factor Cox regression analysis and LASSO regression analysis, and establishing a calculation formula of the risk model; finally, using Kaplan-Meier prognosis analysis and ROC analysis to verify the accuracy of the prognosis risk model for prognosis prediction in early-stage colon cancer patients. The method can better guide clinical design of a more targeted treatment scheme for a patient with poor early colon cancer prognosis, and realizes precise medical treatment; The number of genes for constructing the prediction model is large, the influence caused by tumor heterogeneity can be reduced to the maximum extent, and the accuracy is high; The gene detection method is simple and easy to implement.

Description

【Technical field】 [0001] The invention relates to the field of biotechnology, in particular to a method for constructing a model for predicting the prognosis risk of patients with early colon cancer. 【Background technique】 [0002] Colon cancer is one of the most common malignant tumors in the world, and its incidence and mortality rate are among the top three among all malignant tumors; the overall survival rate of colon cancer patients depends on the TNM stage of the tumor, and generally advanced patients are more advanced than early patients. The prognosis is poor. According to the report of the American Joint Committee on Cancer (AJCC), the 5-year survival rates of patients with stage I, II, III, and IV colon cancer are 93.2%, 82.5%, 59.5%, and 8.1% respectively; Due to the very poor prognosis of some early (stage I / II) colon cancer patients, most of the tumor markers commonly used in clinical practice are aimed at the early diagnosis of colon cancer, and the markers for...

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Problems solved by technology

[0002] Colon cancer is one of the most common malignant tumors in the world, and its incidence and mortality rate are among the top three among all malignant tumors; the overall survival rate of colon cancer patients depends on the TNM stage of the tumor, and generally advanced patients are more advanced than early patients. The prognosis is poor. According to the report of the American Joint Committee on Cancer (AJCC), the 5-year survival rates of patients with stage I, II, III, and IV colon cancer are 93.2%, 82.5%, 59.5%, and 8.1%, respectively; Due to the very poor prognosis of some early (stage I / II) colon cancer patients, most of the tumor markers commonly used in clinical practice are aimed at the early diagnosis of colon cancer, and the markers for the prognosis of colon cancer patients either generally include all TNM Staged patients are poorly targeted, or the number of predicted genes is single, and the accuracy is low

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