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A personalized prognostic assessment method for colon cancer based on multi-gene expression profiles

A technology for expression characteristics and prognosis assessment, applied in the fields of biotechnology and medicine

Active Publication Date: 2022-04-12
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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  • Description
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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 qualitatively divide the individual survival period (such as two indicators of good prognosis and poor prognosis)

Method used

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  • A personalized prognostic assessment method for colon cancer based on multi-gene expression profiles
  • A personalized prognostic assessment method for colon cancer based on multi-gene expression profiles
  • A personalized prognostic assessment method for colon cancer based on multi-gene expression profiles

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Embodiment Construction

[0061] 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.

[0062] The invention discloses a method for evaluating the individualized prognosis of colon cancer based on a polygene expression profile, comprising the following steps:

[0063] Step 1. Obtain the colon cancer prognosis risk gene list and gene weight, specifically:

[0064] Step 1.1, download the tumor tissue and paracancerous tissue transcriptome data and clinical data of colon cancer patients from the Genomic Data Commons Data Portal database, and obtain the tumor tissue gene expression profile FPKM of colon cancer patients ( F fragments P er K ilobase of transcript per M million fragments mapped) values, logarithmic transformation (log2).

[0065] Step 1.2, set the total number of samples as m,...

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Abstract

The invention discloses a colon cancer personalized prognosis assessment method based on multi-gene expression profile, comprising the following steps: obtaining colon cancer prognosis risk gene list and gene weight; using colon cancer patient tumor tissue transcriptome and survival data to construct prognosis assessment Model; calculate the patient's risk score based on the gene expression profile of the tumor tissue of the colon cancer patient; calculate the patient's annual survival probability based on the patient's risk score. The annual survival probability of patients with colon cancer obtained by the method of the present invention is highly consistent with the actual annual survival ratio (linear correlation R 2 = 0.988, P value = 7.35E‑39). It is confirmed that the method has high prediction accuracy, which is highly consistent with the actual survival status. At the same time, for each tumor patient, the present invention can provide 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 method for evaluating the individualized prognosis of colon cancer based on a polygene expression profile. Background technique [0002] Colon cancer is a malignant tumor with high incidence in China and the world. Statistics show that colorectal cancer ranks third among male cancer patients and second among female cancer patients worldwide. Global Burden of Disease (GBD) data shows that in 2016, the number of people suffering from colorectal cancer worldwide reached 6.32 million, of which 1.47 million were in China. In 2016, the number of deaths of colorectal cancer patients worldwide was 830,000, accounting for 1.52% of the total deaths. In 2016, the number of patients who died in China exceeded 160,000, accounting for 1.73% of the total number of deaths. Statistics show that from 1990 to 2016, the prevalence and mortality of colorectal cancer continu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H50/50
Inventor 李文兴李功华黄京飞赵旭东代绍兴
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
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