Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr 29:11:587797.
doi: 10.3389/fonc.2021.587797. eCollection 2021.

Nomogram Predicts the Role of Contralateral Prophylactic Mastectomy in Male Patients With Unilateral Breast Cancer Based on SEER Database: A Competing Risk Analysis

Affiliations

Nomogram Predicts the Role of Contralateral Prophylactic Mastectomy in Male Patients With Unilateral Breast Cancer Based on SEER Database: A Competing Risk Analysis

Kunlong Li et al. Front Oncol. .

Abstract

Background: Contralateral prophylactic mastectomy (CPM) in female breast cancer (FBC) is supported by multiple clinical studies and consensus guidelines, but knowledge of preventive contralateral mastectomy in male breast cancer (MaBC) is very limited and its benefits are still controversial.

Methods: A retrospective cohort study was enrolled with 4,405 MaBC patients who underwent unilateral mastectomy (UM) or CPM from the Surveillance, Epidemiology, and End Results (SEER) database from 1998 to 2015. A nomogram was built based on the corresponding parameters by competing risks regression to predict the 3-year, 5-year, and 8-year probabilities of BCSD (breast cancer-specific death). C-index and calibration curves were chosen for validation. Net reclassification index (NRI) and integrated discrimination improvement (IDI) were used to estimate the nomogram's clinical utility.

Results: A total of 4,197 patients received UM and 208 patients received CPM, with 63-months median follow-up. In the competing risks regression, six variables (surgery, marital status, T-stage, N-stage, histology, tumor grade) were significantly associated with BCSD. Based on these independent prognosis factors, a nomogram model was constructed. The C-index 0.75 (95%CI: 0.73-0.77) in the training cohort and 0.73 (95%CI: 0.71-0.74) in the internal validation group suggested robustness of the model. In addition, the calibration curves exhibited favorably. The NRI values (training cohort: 0.54 for 3-year, 0.55 for 5-year, and 0.49 for 8-year BCSD prediction; validation cohort: 0.51 for 3-year, 0.45 for 5-year, and 0.33 for 8-year BCSD prediction) and IDI values (training cohort: 0.02 for 3-year, 0.03 for 5-year, and 0.04 for 8-year BCSD prediction; validation cohort: 0.02 for 3-year, 0.04 for 5-year, and 0.04 for 8-year BCSD prediction) indicated that the model performed better than the AJCC criteria-based tumor staging alone.

Conclusions: The administration of CPM was associated with the decrease in risk of BCSD in patients with MaBC. The nomogram could provide a precise and personalized prediction of the cumulative risk in patients with MaBC after CPM.

Keywords: SEER; competing risk analysis; contralateral prophylactic mastectomy; male breast cancer; nomogram.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Eligibility, inclusion, and exclusion criteria of study population.
Figure 2
Figure 2
Kaplan-Meier survival analysis for male breast cancer patients. (A) Overall survival curves in the CPM group and UM group. (B) Breast cancer-specific survival curves in the CPM group and UM group.
Figure 3
Figure 3
Cumulative incidence of breast cancer-specific death (BCSD) and other cause-specific death (OCSD) in the CPM group and UM group.
Figure 4
Figure 4
Competing risks regression nomogram model for MaBC patients.
Figure 5
Figure 5
(A) The calibration curve for predicting patient BCSD after three, five, and eight years in the training cohort; (B) the calibration curve for predicting patient BCSD after three, five, and eight years in the internal validation cohort.

Similar articles

Cited by

References

    1. Tuttle TM, Habermann EB, Grund EH, Morris TJ, Virnig BA. Increasing Use of Contralateral Prophylactic Mastectomy for Breast Cancer Patients: A Trend Toward More Aggressive Surgical Treatment. J Clin Oncol (2007) 25:5203–9. 10.1200/JCO.2007.12.3141 - DOI - PubMed
    1. Wong SM, Freedman RA, Sagara Y, Aydogan F, Barry WT, Golshan M. Growing Use of Contralateral Prophylactic Mastectomy Despite No Improvement in Long-term Survival for Invasive Breast Cancer. Ann Surg (2017) 265:581–9. 10.1097/SLA.0000000000001698 - DOI - PubMed
    1. Yao K, Stewart AK, Winchester DJ, Winchester DP. Trends in Contralateral Prophylactic Mastectomy for Unilateral Cancer: A Report From the National Cancer Data Base, 1998-2007. Ann Surg Oncol (2010) 17:2554–62. 10.1245/s10434-010-1091-3 - DOI - PubMed
    1. Portschy PR, Kuntz KM, Tuttle TM. Survival Outcomes After Contralateral Prophylactic Mastectomy: A Decision Analysis. J Natl Cancer Inst (2014) 106(8):dju160. 10.1093/jnci/dju160 - DOI - PubMed
    1. King TA, Sakr R, Patil S, Gurevich I, Stempel M, Sampson M, et al. . Clinical Management Factors Contribute to the Decision for Contralateral Prophylactic Mastectomy. J Clin Oncol (2011) 29:2158–64. 10.1200/JCO.2010.29.4041 - DOI - PubMed

LinkOut - more resources