Method for screening immune infiltration related prognostic genes in breast cancer tumor microenvironment
A technology related to breast cancer tumors and immunity, applied in the field of screening immune infiltration-related prognosis genes in the microenvironment of breast cancer tumors
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Embodiment 1
[0024] Such as figure 1 As shown, a method for screening prognostic genes related to immune infiltration in the tumor microenvironment of breast cancer, including:
[0025] Step 1) download the gene expression data (TCGA-BRCA) and relevant clinical information of breast cancer in the TCGA database, and download 3 breast cancer related GEO datasets from GEO;
[0026] Step 2) Perform estimate analysis on the TCGA-BRCA data set, group the obtained immune-related gene score data according to high and low scores, and then use the limma package to perform differential expression analysis;
[0027] Step 3) Perform batch correction on the 3 GEO data sets, merge them into one batch of data, and expand the analysis sample size;
[0028] Step 4) Perform estimate analysis based on the batch results obtained in step 3), group the obtained immune-related gene score data into high and low scores, and then use the limma package to perform differential expression analysis.
[0029] Step 5) A...
Embodiment 2
[0046] A method for screening immune infiltration-related prognosis genes in the tumor microenvironment of breast cancer, the specific content comprising:
[0047]1. Prepare the data set to be analyzed. Firstly, the breast cancer (BRCA) transcriptome data (1,109 cases of cancer tissue and 113 cases of normal tissue) and corresponding clinical data sets were downloaded from the TCGA (The Cancer Genome Atlas) database, and then downloaded from the GEO (Gene Expression Omnibus database) Screen and collect breast cancer transcriptome data sets in the database, including GSE38959 (30 cancer tissues, 13 normal tissues), GSE45827 (130 cancer tissues, 11 normal tissues), GSE65194 (153 cancer tissues, 11 normal tissues ).
[0048] 2. Analyze the data set and screen the prognostic genes related to tumor immune infiltration in BRCA, which is mainly divided into three steps: the first step is to analyze the tumor immune-related genes through the estimate algorithm on the data set obtaine...
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