Screening of Clinical Factors Related to Prognosis of Breast Cancer Based on the Cox Proportional Risk Model

摘要

Proper evaluation of the relevant clinical factors for the prognosis of breast cancer is particularly important in the selection of appropriate therapeutic strategies. To further screen and identify the clinically significant factors associated with breast cancer, the Cox risk regression model analysis was performed in this study. The follow-up data of intact breast cancer patients were downloaded from METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) database, and the prognostic factors correlated with radiotherapy factors were screened using the Cox risk regression model analysis of prognostic factors. The response of different clinical features to radiotherapy was also evaluated by survival prognosis analysis and prediction. A total of 1980 breast cancer patients were enrolled in this study, including 1173 patients who received the radiotherapy treatment and 807 patients without radiotherapy treatment. To further study the correlation between the clinical prognostic factors and the overall survival, the single factor and multivariate Cox regression analysis were performed, and the clinical prognostic factors implied that the patients with age <60 years, receiving radiotherapy, grade 1, stage 0-1, or human epidermal growth factor receptor 2 (HER2) negative had a better overall clinical survival. The association analysis of the radiotherapy treatment and the clinical prognostic factors implied that the patients with younger age, stage lower, or HER2 negative showed a better overall clinical survival, and the patients who received radiotherapy had a better 3-year survival probability and 5-year survival probability. Screening and identifying the clinically significant factors associated with breast cancer can help predict the risk of disease. Age, stage, or HER2 status was the prognostic factors correlated with radiotherapy treatment.