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Survival benefit of radiotherapy after surgery in de novo stage IV breast cancer: a population-based propensity-score matched analysis.

ABSTRACT: The survival benefit from radiotherapy in stage IV breast cancer has not been fully evaluated. We investigated the survival benefit of radiotherapy after surgery in de novo stage IV breast cancer. Using a population-based database (the Surveillance, Epidemiology, and End Results database 18, 2010-2013), patients diagnosed with de novo stage IV breast cancer were divided into those undergoing surgery alone (no-radiotherapy group) and those undergoing surgery followed by radiotherapy (radiotherapy group). After propensity-score matching (PSM), the cancer-specific survival (CSS) rates were estimated. Multivariate analysis was performed to evaluate the prognostic value of radiotherapy on survival. After PSM, the 3-year CSS rates in the no-radiotherapy (n = 882) and radiotherapy (n = 882) groups were 57.1% and 70.9% (P < 0.001), respectively. On multivariate analysis, radiotherapy after surgery was a significant prognosticator (hazard ratio [HR] 0.572; 95% confidence interval [CI] 0.472-0.693, P < 0.001). Regardless of surgery type and lymph node involvement, the radiotherapy group showed significantly higher CSS rates. For patients who survived six months or more, radiotherapy after surgery demonstrated favorable prognosis compared to surgery alone (HR 0.593; 95% CI 0.479-0.733, P < 0.001). In conclusion, radiotherapy after surgery increased CSS rates in de novo stage IV breast cancer compared to surgery alone.

SUBMITTER: Kim YJ

PROVIDER: S-EPMC6561914 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Locoregional treatment has been increasingly adopted for metastatic breast cancer at presentation. This study aims to develop an individualized calculator to predict the benefit of postoperative radiotherapy (PORT) for patients with surgically resected de novo stage IV breast cancer. We searched the Surveillance, Epidemiology, and End Results (SEER) database for patients diagnosed with stage IV breast cancer between 2010 and 2014. After applying exclusion criteria, a total of 4473 patients were included in the analysis. Propensity score matching was used to balance the individual characteristics of the patients. After identifying the significant prognosticators, a nomogram was developed using multivariate regression models and internally validated. A web-based calculator was then constructed using a fitted survival prediction model. With a median follow-up of 34 months, the three-year overall survival (OS) rates were 54.1% in the surgery alone group and 63.5% in the surgery + PORT group (p < 0.001). The survival benefit of PORT was maintained after propensity score matching (p < 0.001). Interaction testing of the prognostic variables found significant interactions between PORT and the presence of brain metastasis (p = 0.001), and between PORT and hormonal receptor expression (p = 0.018). After reviewing the performance of various models, a log-normal distributed survival model was adopted, with a C-index of 0.695. A calibration plot verified that the predicted survival rates were strongly correlated with the actual OS rates. A web-based survival calculator was constructed to provide individualized estimates of survival according to PORT. PORT significantly improved OS rates, though the individual benefit was affected by a number of factors. We successfully developed a nomogram and web-based calculator that predicted the prognosis according to PORT in patients with surgically resected de novo stage IV breast cancer. These tools are expected to be useful in clinical practice and in the design of related trials.

Project description:Background: The role of surgery and surgery type in de novo stage IV breast cancer (BC) is unclear. Methods: We carried out a retrospective cohort study that included the data of 4,108 individuals with de novo stage IV BC abstracted from SEER (Surveillance, Epidemiology, and End Results) data resource from 2010 to 2015. The patients were stratified into the non-surgery group, breast-conserving (BCS) surgery group, and mastectomy group. Inverse probability propensity score weighting (IPTW) was then used to balance clinicopathologic factors. Overall survival (OS), as well as the breast cancer-specific survival (BCSS), was assessed in the three groups using Kaplan-Meier analysis and COX model. Subgroups were stratified by metastatic sites for analysis. Results: Of the 4,108 patients, 48.5% received surgery and were stratified into the BCS group (574 cases) and mastectomy group (1,419 cases). After IPTW balance demographic and clinicopathologic factors, BCS and mastectomy groups had better OS (BCS group: HR, 0.61; 95% CI: 0.49-0.75; mastectomy group: HR, 0.7; 95% CI: 0.63-0.79) and BCSS (BCS group: HR, 0.6; 95% CI, 0.47-0.75; mastectomy group: HR, 0.71; 95% CI, 0.63-0.81) than the non-therapy group. Subgroup analyses revealed that BCS, rather than mastectomy, was linked to better OS (HR, 0.66; 95% CI: 0.48-0.91) and BCSS (HR, 0.63; 95% CI: 0.45-0.89) for patients with bone-only metastasis. For patients with viscera metastasis or bone+viscera metastases, BCS achieved similar OS (viscera metastasis: HR, 1.05; 95% CI: 0.74-1.48; bone+viscera metastases: HR, 1.01; 95% CI: 0.64-1.61) and BCSS (viscera metastasis: HR, 0.94; 95% CI: 0.64-1.38; bone+viscera metastases: HR, 1.06; 95% CI: 0.66-1.73) in contrast with mastectomy. Conclusions: Local surgery for patients with distant metastasis (DS) exhibited a remarkable survival advantage in contrast with non-operative management. BCS may have more survival benefits for patients with de novo stage IV BC with bone-only metastasis than other metastatic sites. Decisions on de novo stage IV BC primary surgery should be tailored to the metastatic pattern.

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Survival benefit of radiotherapy after surgery in de novo stage IV breast cancer: a population-based propensity-score matched analysis.

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