Establishment method and application of a polygenic liver cancer prognosis grading system

Abstract

The invention discloses a method for establishing a polygenic liver cancer prognosis grading system and its application, which can be used to predict the survival period and recurrence probability of liver cancer patients after surgery, regardless of the patient's age and tumor size. The samples came from a total of 378 clinical patients with liver cancer surgery in an affiliated hospital of Zhejiang University School of Medicine in 2012-2018. After strict quality control, the samples were subjected to multi-gene quantitative real-time polymerase chain reaction (qRT-PCR) , and further analyzed the correlation between each gene and the survival period, and finally screened out the high-risk genes related to the prognosis of patients with clinical liver cancer surgery, and constructed a prognosis grading system. Beneficial effects of the patented technology of the present invention: the present invention constructs a prognosis grading system that can predict postoperative survival and recurrence probability of patients with clinical liver cancer, regardless of patient age and tumor size. It can be used to evaluate the postoperative survival of patients with liver cancer surgery, and assist in formulating postoperative treatment plans for patients.

Description

technical field [0001] The invention relates to the field of prognosis grading system for patients undergoing clinical liver cancer surgery, and mainly relates to a method for establishing a polygenic liver cancer prognosis grading system and its application. Background technique [0002] The number of patients with liver cancer in my country accounts for more than half of the world. Liver cancer has a high degree of malignancy and poor prognosis. The current 5-year survival rate of liver cancer is only 16.8%. [1,2] . Surgical resection remains the mainstay of treatment for liver cancer [3] . There is significant tumor heterogeneity in different liver cancer patients, so whether surgical resection can benefit patients is still unknown. A series of grading systems that can be used to predict individual recurrence and prognosis risk have been discovered so far. Most of them are consistent with the clinical characteristics of liver cancer, such as Liver function grade, AFP, ...

AI Technical Summary

Problems solved by technology

There is significant tumor heterogeneity in different liver cancer patients, so whether surgical resection can benefit patients is still unknown. A series of grading systems that can be used to predict individual recurrence and prognosis risk have been discovered so far. Most of them are consistent with the clinical characteristics of liver cancer, such as Liver function grade, AFP, tumor size, and location are related, but due to the complexity of individual patient information and human errors in follow-up data, the reliability of the prediction grading system is greatly reduced

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