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Construction method of liver cancer prognosis model and application method thereof and electronic equipment

A technology of liver cancer prognosis and construction method, applied in instruments, health index calculation, genomics, etc., can solve problems such as failure to clearly clarify the mechanism of liver cancer recurrence, high recurrence rate, failure to find intervention measures, etc.

Inactive Publication Date: 2021-09-03
BEIJING MEDINTELL BIOMED CO LTD
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Problems solved by technology

[0004] After decades of hard work, liver cancer research has made great progress. The last century was marked by "early treatment of small liver cancer" and "two-stage resection of liver cancer after shrinkage", which contributed 10% to the improvement of the survival rate of liver cancer surgery. However, due to the rapid progression of liver cancer and the extremely high recurrence rate, the overall curative effect of liver cancer is still poor, and the overall 5-year survival rate of the liver cancer population is still only about 5%.
In recent years, although some progress has been made in the basic and clinical research of liver cancer, the mechanism of liver cancer recurrence has not been clearly elucidated, and effective intervention measures have not been found

Method used

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  • Construction method of liver cancer prognosis model and application method thereof and electronic equipment
  • Construction method of liver cancer prognosis model and application method thereof and electronic equipment
  • Construction method of liver cancer prognosis model and application method thereof and electronic equipment

Examples

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Embodiment 1

[0061] Example 1 Screening of Liver Cancer Prognosis-Related Genes

[0062] 1. Data download

[0063] Search public gene expression data and complete clinical annotations in the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). For datasets in TCGA, RNA-sequencing data of gene expression (FPKM values) and clinical information were downloaded from UCSC Xena (https: / / gdc.xenahubs.net). FPKM values ​​were then converted to transcripts per kilobase million (TPM) values. Download the gene expression data of GSE76427 from the GEO database (http: / / www.ncbi.nlm.nih.gov / geo / ), and use the annotation file to annotate it, and take the average value of multiple probes corresponding to the same gene as its expression level, and then obtain the gene expression matrix file. Among them, the TCGA dataset is used as the discovery queue, and the GEO dataset is used as the verification queue. After removing samples with incomplete clinical information, the number of samples in...

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Abstract

The invention provides a construction method and an application method of a liver cancer prognosis model and electronic equipment. The construction method comprises the following steps: acquiring transcriptional profile expression data of a plurality of liver cancer patients and a plurality of reference persons; screening candidate genes based on the transcriptional profile expression data; and based on the candidate genes, constructing a risk scoring model. The liver cancer prognosis model comprises a risk scoring model.

Description

technical field [0001] Embodiments of the present disclosure relate to a construction method and application method of a liver cancer prognosis model, an electronic device, and a storage medium. Background technique [0002] Prognosis refers to the empirical prediction of disease progression. Prognosis involves three main areas, what will happen, the likelihood of an adverse outcome, and when. The purpose of researching and rating prognosis is to facilitate the understanding of the degree of harm of diseases to human beings, to explore the factors affecting prognosis, and to study specific measures to improve prognosis. Prognosis analysis is a clinical research that is very practical and instructive. [0003] The liver is one of the most important organs to maintain the stability of the internal environment and the health of the body. Fatty liver, hepatitis, cirrhosis and liver cancer are the four most common serious diseases in the liver, and they are also one of the impo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16B20/20
CPCG16H50/30G16B20/20
Inventor 杨承刚宋宏涛董东
Owner BEIJING MEDINTELL BIOMED CO LTD
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