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Triple-negative breast cancer prognosis prediction device, prediction model and construction method thereof

A triple-negative breast cancer and predictive model technology, applied in the medical field, can solve problems such as long-term pessimism, and achieve high clinical application value

Pending Publication Date: 2021-11-09
内蒙古医科大学附属人民医院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, new developments have been made in the treatment of ICB. Although it has a certain effect on the treatment of triple-negative breast cancer, it is still not optimistic from a long-term perspective.

Method used

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  • Triple-negative breast cancer prognosis prediction device, prediction model and construction method thereof
  • Triple-negative breast cancer prognosis prediction device, prediction model and construction method thereof
  • Triple-negative breast cancer prognosis prediction device, prediction model and construction method thereof

Examples

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Effect test

Embodiment 1

[0029] A method for constructing a triple-negative breast cancer prognosis prediction model, comprising the following steps:

[0030] S1. Realize the collection of original gene expression data and corresponding clinical survival data of triple-negative breast cancer samples, and obtain the gene expression matrix after the standardized processing of gene expression data; specifically, realize triple-negative breast cancer samples based on UCSC-TCGA database Collection of raw gene expression data and corresponding clinical survival data, sample data with incomplete clinical data and overall survival time less than one month should be removed during the collection process;

[0031] S2. Obtain independent cancer-specific genes of triple-negative breast cancer, and obtain the expression level of such genes;

[0032] S3. Screen the parameters for constructing the prognosis prediction model from the obtained independent cancer-specific genes and obtain the corresponding regression c...

Embodiment 2

[0040] A triple-negative breast cancer prognosis prediction model, which is constructed using the construction method described in Example 1.

Embodiment 3

[0042]A triple-negative breast cancer prognosis prediction device, implemented based on the triple-negative breast cancer prognosis prediction model described in Example 2, comprising a data collection module, a model genotype analysis module, a parameter screening module, a prognosis model construction module, and a prediction output module;

[0043] The data collection module is used to collect the original gene expression data and corresponding clinical survival data of triple-negative breast cancer samples, and preprocess and standardize the collected data; the model gene type analysis module is used to obtain model genes in tumor tissue And calculate the relative ratio of each model gene; The parameter screening module is used to screen out the parameters used to construct the prognosis prediction model from the model gene type and obtain the corresponding regression coefficient; The prognosis model construction module is used to select is the relative ratio of the model g...

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Abstract

The invention discloses a triple-negative breast cancer prognosis prediction model construction method, which comprises the following steps: realizing collection of original gene expression data and corresponding clinical survival data of a triple-negative breast cancer sample, and obtaining a gene expression matrix after realizing standardization processing of the gene expression data; obtaining an independent cancer formation specific gene of the triple-negative breast cancer, and obtaining the expression quantity of the gene; screening out parameters for constructing a prognosis prediction model from the obtained independent cancer formation specific genes and obtaining corresponding regression coefficients, wherein the parameters are multiple gene types; and based on the screened genes, calculating a risk score according to the expression quantity and the corresponding regression coefficient of the genes to obtain a triple-negative breast cancer prognosis prediction model. The triple-negative breast cancer prognosis prediction model constructed by the invention realizes risk stratification of prognosis of triple-negative breast cancer patients, significantly separates high and low risk patients, further can predict clinical results of triple-negative breast cancer and guide individualized treatment, and has high clinical application value.

Description

technical field [0001] The invention relates to the medical field, in particular to a triple-negative breast cancer prognosis prediction device, a prediction model and a construction method thereof. Background technique [0002] Breast cancer has a variety of biological behaviors, clinicopathological features, and molecular characteristics. According to the difference of clinical diagnostic markers, breast cancer can be divided into different molecular subtypes, including luminal subtype A (luminal subtype A), luminal subtype B / C (luminal subtype B / C), normal breast-like type (normal breast- Like subtype), HER-2 over-expression subtype (HER-2 over-expression subtype) and basal-like subtype (basal-like subtypel), the clinical characteristics, treatment response and prognosis of different subtypes of breast cancer are significantly different. [0003] Triple negative breast cancer (tripie-negative breast cancer, TNBC) is a clinicopathological type of breast cancer, characteri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B20/00G16B30/00G16H50/20
CPCG16B20/00G16B30/00G16H50/20
Inventor 贾永峰刘霞康畅元施琳云芬梁俊青陈永霞安彦榕
Owner 内蒙古医科大学附属人民医院
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