Discussion
tumor, T stage, comorbidity, breast cancer
MPBC, TUMOR, LYMPH NODE METASTASIS, BREAST CANCER
MpBC is mainly composed of mesenchymal histological components and epithelial cells, a rare breast cancer type [Older breast cancer patients are a particular group. Compared with young women, they have different physiology, tumor biological behaviour and social dynamics [In this study, we reported the clinicopathological features and prognostic factors of older women with MpBC in the SEER database. This study found that marital status and race were not factors affecting cancer-specific survival in older women with MpBC. The pathological subtype of MpBC was also not significantly correlated with cancer-specific survival. Previous studies have shown that the lymph node metastasis rate of MpBC patients is about 22–31% [A previous study has reported that chemotherapy can improve the prognosis of MpBC patients [This study found that age, T stage, N stage, M stage, tumor size, surgery and radiotherapy were risk factors for cancer-specific survival in older patients with MpBC. We developed a competitive risk model nomogram based on these variables to predict 1-, 3-, and 5-year cancer-specific survival in older women with MpBC. The competitive risk model is a nomogram and a simple prediction tool. By accurately predicting the survival time of patients, it can help doctors make clinical decisions and improve patient compliance.There are still some limitations in this study. First, the study lacked essential variables such as comorbidity, chemotherapy regimen, endocrine therapy, radiation dose, and physiological status. However, this study included essential variables, such as tumor staging and treatment. Therefore, the prediction tool has good clinical value. Secondly, this study is retrospective, and there is still a selection bias that is difficult to adjust. Therefore, further prospective studies to confirm the study results are necessary. Finally, this study’s competitive risk prediction model only conducted internal cross-validation. Although the model was confirmed to have good accuracy, further external verification is still needed.