Survival Comparisons Between Early Male and Female Breast Cancer Patients

A Novel Nomogram for Predicting Breast Cancer-specific Survival in Male Patients

OBJECTIVES

To compare breast cancer-specific survival (BCSS) of nonmetastatic invasive breast cancer between male (MBC) and female (FBC) patients, define clinicopathologic variables related to BCSS in nonmetastatic invasive MBC patients, and establish a nomogram for individual risk prediction.

MATERIALS AND METHODS

On the basis of Surveillance, Epidemiology, and End Results database, 2094 MBC and 48,104 FBC cases underwent propensity score matching (PSM). We compared the prognosis of patients before and after PSM and developed a nomogram for BCSS of nonmetastatic invasive MBC patients. Internal validation was performed using the consistency index, calibration curves, and receiver operating characteristic curves. Simultaneously, data from 49 nonmetastatic invasive MBC patients diagnosed between January 2012 and May 2016 were collected for external validation.

RESULTS

Before PSM, overall survival and BCSS were significantly shorter in MBC than those in FBC patients. After PSM, MBC patients continued to have a shorter overall survival, but not BCSS, than FBC patients. Marital status, age, histologic grade, estrogen/progesterone receptor status, Tumor Lymph Node stage, and surgery were included in the prediction model.

CONCLUSIONS

The nomogram developed in this study seems to be more accurate than conventional Tumor-nodal-metastasis staging staging to predict BCSS and may serve as an effective tool for assessing the prognosis of nonmetastatic invasive MBC.

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

Male 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.

A prognostic nomogram for overall survival in male breast cancer with histology of infiltrating duct carcinoma after surgery

Objective

The study was designed to construct and validate a nomogram for predicting overall survival (OS) of male breast cancer (MBC) patients with infiltrating duct carcinoma (IDC).

Methods

The cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) database between January 1, 2004 and December 31, 2013. Univariate and multivariate Cox proportional hazard (PH) regression models were performed. A nomogram was developed based on the significant prognostic indicators of OS. The discriminatory and predictive capacities of nomogram were assessed by Harrell's concordance index (C-index), calibration plots, area under the curve (AUC) and the decision curve analysis (DCA).

Results

The median and maximal survival time of 1862 eligible patients were 49 and 131 months, respectively. Multivariate analysis showed that age (P < 0.0001), marital status (P = 0.002), T stage (P < 0.0001), N stage (P = 0.021), M stage (P < 0.0001), progesterone receptor (PR) (P = 0.046), human epidermal growth factor receptor-2 (HER2) (P = 0.009), and chemotherapy (P = 0.003) were independent prognostic indicators of IDC of MBC. The eight variables were then combined to construct a 3-and 5-year nomogram. The C-indexes of the nomogram were0.740 (95% confidence interval [CI] [0.709-0.771]) and 0.718 (95% CI [0.672-0.764]) for the internal validation and external validation, respectively. A better discriminatory capacity was observed in the nomogram compared with the SEER summary stage (P < 0.001) and AJCC TNM staging systems (6th edition; P < 0.001) with respect to OS prediction. Good consistency was detected between the nomogram prediction and actual findings, as indicated by calibration curves. The AUC for 3-and 5-year OS was 0.739 (95% CI [0.693-0.786]) and 0.764 (95% CI [0.725-0.803]) in the training cohort and 0.737 (95% CI [0.671-0.803]) and 0.735 (95% CI [0.678-0.793]) in the validation cohort, respectively. The DCA demonstrated that the survival nomogram was clinically useful.

Conclusions

The nomogram was able to more accurately predict 3-and 5-year OS of MBC patients with IDC histology than were existing models.

Development and Validation of a Nomogram for Predicting Survival in Male Patients With Breast Cancer

Male breast cancer (MBC) is rare, and most patients are diagnosed at an advanced stage. We aimed to develop a reliable nomogram to predict breast cancer-specific survival (BCSS) for MBC patients, thus helping clinical diagnosis and treatment. Based on data from the Surveillance, Epidemiology, and End Results (SEER) database, 2,451 patients diagnosed with MBC from 2010 to 2015 were selected for this study. They were randomly assigned to either a training cohort (n = 1715) or a validation cohort (n = 736). The Multivariate Cox proportional hazards regression analysis was used to determine the independent prognostic factors, which were then utilized to build a nomogram for predicting 3- and 5-year BCSS. The discrimination and calibration of the new model was evaluated using the Concordance index (C-index) and calibration curves, while its accuracy and benefits were assessed by comparing it to the traditional AJCC staging system using the net reclassification improvement (NRI), the integrated discrimination improvement (IDI), and the decision curve analysis (DCA). Multivariate models revealed that age, AJCC stage, ER status, PR status, and surgery all showed a significant association with BCSS. A nomogram based on these variables was constructed to predict survival in MBC patients. Compared to the AJCC stage, the C-index (training group: 0.840 vs. 0.775, validation group: 0.818 vs. 0.768), the areas under the receiver operating characteristic curve of the training set (3-year AUC: 0.852 vs. 0.778, 5-year AUC: 0.841 vs. 0.774) and the validation set (3-year AUC: 0.778 vs. 0.752, 5-year AUC: 0.852 vs. 0.794), and the calibration plots of this model all exhibited better performance. Additionally, the NRI and IDI confirmed that the nomogram was a great prognosis tool. Finally, the 3- and 5-year DCA curves yielded larger net benefits than the traditional AJCC stage. In conclusion, we have successfully established an effective nomogram to predict BCSS in MBC patients, which can assist clinicians in determining the appropriate therapy strategies for individual male patients.

Clinical features of patients with male breast cancer in Shanxi province of China from 2007 to 2016

This study aims to understand the clinical features, treatment, and prognosis of patients with male breast cancer (MBC) in Shanxi province of China from 2007 to 2016. Data for 77 patients with MBC were collected for analysis. Immunohistochemistry, pathological results, and other data such as demographic characteristics (age, marital status, smoking history, drinking history, and family history of cancer) as well as clinical data were investigated by retrieving information from the patients' medical records. A total of 12,404 patients were diagnosed with breast cancer between 2007 and 2016, and 77 were patients with MBC among them. The median diagnosis age of patients with MBC was 62 years (range, 24-84 years). The most common complaint was a painless lump in the breast, accounting for 68.8% of the patients, and the main pathological type in MBC was infiltrating ductal carcinoma (66.2%). In terms of hormone receptors, 80.5% (62/77) of patients with MBC were estrogen receptor positive, 75.3% (58/77) of patients were progesterone receptor positive, and only 6.5% (5/77) of patients were HER2 overexpressing. The multivariant Cox proportional hazards regression analysis showed that M stage is an independent prognostic factor (p=0.018, HR=18.791, 95% CI 1.663 to 212.6). The epidemiological and clinical features of Chinese MBC are similar to that of other countries. As the Chinese public have limited knowledge of MBC, it is necessary to increase awareness among them about it. Further research with a large sample size is required for better understanding of the risks associated with MBC.