Abstract
Background
Radiotherapy (RT) may be omitted for elderly (age >70 years) breast cancer patients with favorable disease [stage I and estrogen receptor (ER)-positive with endocrine therapy]. This study sought to develop a nomogram to predict the survival benefit of RT in elderly patients with stage I & ER-negative or stage II/III (regardless of ER status) disease.
Methods
We used surveillance, epidemiology and end results data to identify 9,079 patients (age ≥70 years) with stage I & ER-negative or stage II/III (regardless of ER status) disease who received breast-conserving surgery between 1990 and 2005. Cancer-specific survival (CSS) was estimated using Kaplan–Meier analysis. Competing-risk regression was used to determine the effect of predictors on CSS. A nomogram was then developed and validated using bootstrapped technique.
Results
With a median follow-up of 83 months, the overall 10- and 15-year CSS were 82.1 and 75.8 %, respectively. RT was significantly associated with improved CSS in the multivariate analysis. A nomogram was developed for the prediction of 10-year CSS and showed a bootstrapped-corrected area under the curve value of 0.679. RT did not deliver any survival benefit to patients with predicted CSS >90 %. In addition, RT significantly increased the 10-year CSS by 3.6 and 10.1 % in patients with predicted CSS from 0.80 to 0.90 and <0.80, respectively.
Conclusions
This nomogram is a useful tool to predict the 10-year CSS in patients with stage I and ER-negative or stage II/III (regardless of ER status) disease. The benefit of RT varied among patients with different predicted CSS.
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Acknowledgment
We thank Caiyun Liao, MD, for extensive discussion about the statistical analysis. This study was supported by grants from the National Natural Science Foundation of China (81402201/H1622).
Conflict of interests
The authors have no conflict of interests to disclose.
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10434_2015_4393_MOESM3_ESM.pdf
Survival benefit of RT on cumulative CSS in patients with T1 disease (3a), pN0 disease (3b), Stage I disease (3c), or ER (+) disease (3d). Unadjusted Cox regression was used. Cumulative incidence function of patients who received or did not receive RT is shown in patients with T1 disease (3e), pN0 disease (3f), Stage I disease (3 g), or ER (+) disease (3 h). Competing risk analysis was used. RT radiotherapy; HR hazard ratio; CI confidence interval; CSS cancer-specific survival; SHR subhazard ratio (PDF 223 kb)
10434_2015_4393_MOESM4_ESM.pdf
Internal validation of the nomogram. (a) ROC analysis (AUC = 0.687) and (b) calibration plots. A Hosmer-Lemeshow test P value of 0.99 indicated a high level of agreement between the predicted and actual probability values. (c) Cumulative CSS by the nomogram and (d) cumulative CSS by AJCC stage. AJCC American Joint Committee on Cancer; AUC area under the curve; CSS cancer-specific survival; ROC receiver-operator curve (PDF 108 kb)
10434_2015_4393_MOESM5_ESM.pdf
Patient population was classified as low- (P css ≥ 0.90; a and d), intermediate- (0.80 P css < 0.90; b and e), and high-risk (P css < 0.80; c and f) subgroups based on the predicted CSS. The survival benefits of RT on CSS are shown in a, b, and c. The cumulative incidence function for improvements according to the benefit of RT is shown in e, f, and g. CSS cancer-specific survival; RT radiotherapy (PDF 155 kb)
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Chen, K., Su, F. & Jacobs, L.K. A Nomogram to Predict the Benefit of Radiation Therapy After Breast-Conserving Surgery in Elderly Patients with Stage I & ER-Negative, or Stage II/III Disease. Ann Surg Oncol 22, 3497–3503 (2015). https://doi.org/10.1245/s10434-015-4393-7
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DOI: https://doi.org/10.1245/s10434-015-4393-7