Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study
نویسندگان
چکیده
BACKGROUND To estimate survival in non-metastatic breast cancer patients who failed to achieve a pathological complete response (pCR) more effectively, we combined the clinicpathological characteristics after preoperative radiation therapy (pRT) and established a novel nomogram. MATERIALS AND METHODS Using the Surveillance, Epidemiology, and End Results (SEER) database, we identified 2,545 non-metastatic breast cancer patients who underwent pRT between 1998 and 2013. Based on the registries of patients, the primary cohort divided into training set (n = 1,692) and validation set (n = 853). Nomograms were established by training set and validated by validation set. RESULTS According to the multivariate analysis of training set, nomogram which combined age at diagnosed, marital status, location, grade, ER status, yp-T status, yp-N status and whether received breast conservation surgery (BCS) was developed. Calibration plots of the nomograms showed that the probability of DSS corresponded to actual observation closely. The C-index was 0.78 in validation set, which was significantly higher than that of yp-TNM staging system (0.75, p = 0.004). CONCLUSIONS The proposed nomogram resulted in more-reliable DSS prediction for non-metastatic breast cancer patients in general population, it would be helpful in individualized survival prediction and better treatment allocation after pRT.
منابع مشابه
Development and validation of a nomogram predicting the overall survival of stage IV breast cancer patients
This study aimed to develop a nomogram to predict the overall survival (OS) of stage IV breast cancer patients. We searched the National Cancer Database (NCDB) for stage IV breast cancer patients diagnosed between 2010 and 2013. Predictors of OS were identified and a nomogram was developed and validated using concordance index (C-index), calibration plots, and risk group stratifications. A tota...
متن کاملClinicopathological Features of Non-metastatic Triple Negative Breast Cancer
Background: Triple negative breast cancer (TNBC) is reported to be associated with a high risk of recurrence, poor overall survival (OS), and disease-free survival (DFS) rates. This study evaluated the clincopathological features and survival of non-metastatic TNBC women in the capital of Iran compared with other areas of the world. Methods: In a retrospective study, 119 women with TNBC based ...
متن کاملExtracting Predictor Variables to Construct Breast Cancer Survivability Model with Class Imbalance Problem
Application of data mining methods as a decision support system has a great benefit to predict survival of new patients. It also has a great potential for health researchers to investigate the relationship between risk factors and cancer survival. But due to the imbalanced nature of datasets associated with breast cancer survival, the accuracy of survival prognosis models is a challenging issue...
متن کاملCorrelations of Diabetes and the Risk Factors with the Survival of Breast Cancer Patients
Introduction: Diabetes is associated with an increased risk of cancer. Because of the metastatic nature of cancer, the survival of women with breast cancer is decreasing despite receiving various treatments such as chemotherapy, radiotherapy, etc. The aim of this study was to investigate the relationship between diabetes and the risk factors related to the survival of breast cancer patients. M...
متن کاملEvaluation of the Long-Term Survival in Non-Metastatic Young Breast Cancer Patients in South of Iran
Background and Objective: The lack of breast cancer screening in young women leads to late disease diagnosis and worse outcomes in this age group. This study was designed to evaluate clinicopathological features and long-term outcomes of young breast cancer women in south of Iran. Materials and Methods: This is a retrospective study of breast cancer patients who were pathologically diagnosed d...
متن کامل