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

A technology of gene expression profile and expression signature, applied in the field of individualized prognosis evaluation of gastric cancer based on multi-gene expression signature profile, to achieve the effect of accurate survival status

Active Publication Date: 2018-08-31
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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Problems solved by technology

However, most reports only use single or several genes, can only classify a group, and can only qualitat

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

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[0063] The implementation of the present invention will be described in detail below with examples, so as to fully understand and implement the implementation process of how the present invention uses technical means to solve technical problems and achieve technical effects.

[0064] The invention discloses a method for evaluating the individualized prognosis of gastric cancer based on a polygene expression profile, comprising the following steps:

[0065] Step 1. Obtain the list of gastric cancer prognosis risk genes and gene weights, specifically:

[0066] Step 1.1, download the tumor tissue and paracancerous tissue transcriptome data and clinical data of gastric cancer patients from the Genomic Data Commons Data Portal database, and obtain the tumor tissue gene expression profile FPKM of gastric cancer patients ( F fragments P er K ilobase of transcript per M million fragments mapped) values, logarithmic transformation (log2).

[0067] Step 1.2, set the total number of ...

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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...

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Application Information

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IPC IPC(8): G06F19/18G16H50/30
CPCG16B20/00G16H50/30
Inventor 黄京飞李文兴李功华赵旭东代绍兴
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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