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.

中文翻译：

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基于Cox比例风险模型筛选与乳腺癌预后相关的临床因素。

正确评估乳腺癌预后的相关临床因素对于选择合适的治疗策略尤为重要。为了进一步筛选和识别与乳腺癌相关的临床显着因素，本研究进行了 Cox 风险回归模型分析。从METABRIC(Molecular Taxonomy of Breast Cancer International Consortium)数据库下载完整乳腺癌患者的随访资料，采用预后因素的Cox风险回归模型分析筛选与放疗因素相关的预后因素。还通过生存预后分析和预测来评估不同临床特征对放疗的反应。共有 1980 名乳腺癌患者参加了这项研究，其中接受放疗的患者1173人，未接受放疗的患者807人。为进一步研究临床预后因素与总生存期的相关性，进行单因素和多因素Cox回归分析，临床预后因素提示年龄<60岁，接受放疗的患者，1级，0-期1，或人表皮生长因子受体2（HER2）阴性有较好的总体临床生存率。放疗治疗与临床预后因素的关联分析表明，年龄较小、分期较低或HER2阴性的患者总体临床生存率较高，接受放疗的患者3年生存率和5-年生存概率。筛查和识别与乳腺癌相关的临床显着因素有助于预测疾病风险。年龄、分期或 HER2 状态是与放射治疗相关的预后因素。