scholarly journals Effect of younger age on survival outcomes in T1N0M0 breast cancer: A propensity score matching analysis

2019 ◽  
Vol 119 (8) ◽  
pp. 1039-1046 ◽  
Author(s):  
Wenjing Zhong ◽  
Luyuan Tan ◽  
Wen G. Jiang ◽  
Kai Chen ◽  
Na You ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Survival Outcomes ◽  
Propensity Score Matching Analysis ◽  
Younger Age

scholarly journals Comparison between male and female breast cancer survival using propensity score matching analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Serena Scomersi ◽  
Fabiola Giudici ◽  
Giuseppe Cacciatore ◽  
Pasquale Losurdo ◽  
Stefano Fracon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Cancer Survival ◽  
Univariate Analysis ◽  
Disease Free Survival ◽  
Female Breast Cancer ◽  
Lymph Node Status ◽  
Propensity Score Matching Analysis

AbstractMale breast cancer (MBC) is a rare disease. The few studies on MBC reported conflicting data regarding survival outcomes compared to women. This study has two objectives: to describe the characteristics of a single-cohort of MBC and to compare overall survival (OS) and disease-free survival (DFS) between men and women using the propensity score matching (PSM) analysis. We considered MBC patients (n = 40) diagnosed between January 2004 and May 2019. Clinical, pathological, oncological and follow-up data were analyzed. Univariate analysis was performed to determine the prognostic factors on OS and DFS for MBC. We selected female patients with BC (n = 2678). To minimize the effect of the imbalance of the prognostic factors between the two cohorts, the PSM method (1:3 ratio) was applied and differences in survival between the two groups were assessed. The average age of MBC patients was 73 years. The 5-year OS and DFS rates were 76.7% and 72.2% respectively. The prognostic factors that significantly influenced OS and DFS were tumor size and lymph node status. After the PSM, 5 year-OS was similar between MBC and FBC (72.9% vs 72.3%, p = 0.70) while we found a worse DFS for MBC (72.2% vs 91.4%, p  = 0.03). Our data confirmed previous reported MBC characteristics: we found a higher risk of recurrence in MBC compared to FMC but similar OS. MBC and FMC are different entities and studies are needed to understand its epidemiology and guide its management.

scholarly journals Research on Effectiveness of Prior Cancer on Survival Outcomes for Patients with Nonmetastatic Triple-Negative Breast Cancer: A Competing Risk Analysis and Propensity Score Matching Analysis of the SEER Database

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Heyan Chen ◽  
Lutong Yan ◽  
Shengyu Pu ◽  
Lizhe Zhu ◽  
Huimin Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Reference Value ◽  
Breast Conserving Surgery ◽  
Survival Outcomes ◽  
Seer Database ◽  
Term Survival

Introduction. Knowledge of the effect of prior cancer on long-term survival outcomes for patients with nonmetastatic triple-negative breast cancer (TNBC) remained unclear. The aim of this study was to explore and identify the effectiveness of prior cancer on breast cancer-specific death (BCSD) and other cause-specific death (OCSD) in patients with nonmetastatic TNBC. Materials and Methods. Data of 29,594 participants with nonmetastatic TNBC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2016. Prognostic predictors were identified by propensity score matching (PSM) analysis combined with univariate cumulative incidence function (CIF) and multivariate Fine and Gray competitive risk analyses. Results. Among the women with nonmetastatic TNBC included in the unmatched cohort, a total of 5,375 (18.2%) subjects had prior cancers (P-TNBC) and 24,219 (81.8%) had no prior cancer (NP-TNBC). Patients with P-TNBC tended to have poorer BCSD (Gray’s test, p = 0.0131 ) and OCSD (Gray’s test, p = 0.0009 ) in comparison with those with NP-TNBC after PSM. However, the risk of BCSD p = 0.291 and OCSD p = 0.084 found no difference among P-TNBC patients with one prior cancer and two or more prior cancers after PSM. Additionally, subjects with younger age, advanced T stage, advanced N stage, and advanced differentiation grade tumors were likely to develop BCSD, whereas those with breast-conserving surgery (BCS), radiotherapy, or chemotherapy tended to have a lower incidence of BCSD. Conclusion. Our study demonstrated that prior cancer was related to the worse BCSD and OCSD rate and could be identified as a reliable survival predictor for patients with nonmetastatic TNBC. This study may provide some reference value for the treatment mode of TNBC patients with prior cancer in the future.

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