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
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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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