The immunological microenvironment was examined for a possible link between risk score and immune cell infiltration. The area under the curve (AUC) of the model was around 0.7 in the four cohorts. The high-risk group had a significantly worse prognosis. According to the prognostic model, patients were classified as high-risk or low-risk in both cohorts. Results: 384 CDRG were obtained by single-cell analysis. Survival analysis, immune microenvironment analysis, drug sensitivity analysis, and nomogram analysis were used to evaluate the clinical importance of this prognostic model. According to the median risk score, patients were classified as high-risk or low-risk. The GSE20685 dataset and GSE20711 dataset were used as two external validation cohorts to further validate the prognostic model. The test cohort was used to validate the model. Based on the training cohort, the prognostic model was built using COX and Lasso regression. According to a 1:1 ratio, the Cancer Genome Atlas (TCGA) cohort was separated into a training and a test cohort randomly. Methods: CDRG were obtained by single-cell analysis of the GSE168410 dataset in the Gene Expression Omnibus (GEO) database. Purpose: To explore the clinical significance of copper-dependent-related genes (CDRG) in female breast cancer (BC). Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
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