Personalized prognosis evaluation method for gastric cancer on the basis of multigene expression characteristic spectrum

Abstract

The invention discloses a personalized prognosis evaluation method for gastric cancer on the basis of amultigene expression characteristic spectrum. The method comprises the following steps that: obtaining a gastric cancer prognosis risk gene list and gene weight; utilizing a gastric cancer patient tumor tissue transcriptome and survival data to construct a prognosis evaluation model; according tothe gene expression spectrum of a gastric cancer patient tumor tissue, calculating the risk score of the patient; and according to the risk score of the patient, calculating the annual survival probability of the patient. The annual survival probability, which is calculated with the method of the invention, of the gastric cancer patient has consistent height with a practical annual survival ratio(linear correlation R2 is equal to 0.980, and a P value is equal to 1.62E-17). The method is proved to have high prediction accuracy which is highly matched with the practical survival state. Meanwhile, for each tumor patient, the method disclosed by the invention can give the specific survival probability curve of the patient.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medicine, and in particular relates to a personalized prognosis evaluation method for gastric cancer based on a polygene expression profile. Background technique [0002] Gastric cancer is the top five malignant tumors in the world. According to statistics, the morbidity and mortality of gastric cancer are higher in males than in females, and higher in developing countries than in developed countries. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from gastric cancer worldwide reached 2.2 million, of which 980,000 were in China. In 2016, the number of deaths of gastric cancer patients worldwide was 830,000, accounting for 1.53% of the total deaths. In 2016, the number of patients who died in China exceeded 330,000, accounting for 3.46% of the total number of deaths. Statistics show that from 1990 to 2016, the global prevalence of gastric cancer continued...

AI Technical Summary

Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitatively divide the individual survival period (such as two indicators of good prognosis and poor prognosis)

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