Impact of Postoperative Radiotherapy on Survival of Patients With de novo Stage IV Breast Cancer: A Population-Based Study From the SEER Database

Postoperative radiotherapy improves long-term survival in HER2-positive metastatic breast cancer: real-world evidence from the latest SEER database

PURPOSE

To evaluate the role of Postoperative Radiotherapy (PORT) in HER2-positive metastatic breast cancer (MBC) in the context of targeted therapy and clarify the subgroups that may benefit from PORT.

METHODS

Clinical data of female patients with HER2-positive MBC from the surveillance, epidemiology, and end results (SEER) database for the years 2016-2020 were collected according to established inclusion and exclusion criteria. The impact of PORT on patient survival was assessed, and subgroup analyses were performed to identify populations with potential benefits from PORT.

RESULTS

A total of 541 patients from the SEER database were included in the analysis. The 3-year overall survival (OS) of the PORT group was significantly higher than that of the non-PORT group. (86.7% vs. 80.2%, P = 0.011). Multivariate analysis revealed that race and PORT were independent prognostic factors. Black patients and those who received PORT had longer overall survival (OS) (P < 0.05). Subgroup analysis suggested that PORT further improved OS in patients with mastectomy, advanced TN stage, high tumor grade, positive hormone receptor status, and multiple metastatic organs (P < 0.05).

CONCLUSION

PORT further improves the survival of HER2-positive MBC. Subgroup analysis suggests that patients with locally advanced stage (T3-4, N2-3), Grade III, HR-positive status, bone-and-visceral metastasis, and those who have undergone mastectomy benefit significantly.

Prognostic value and mode selection of locoregional treatment in Stage-IV breast cancer patients

PURPOSE

This study aimed to assess the actual prognostic significance of different locoregional treatment (LRT) (surgery and radiotherapy) modalities for stage-IV  breast cancer (BC) patients and construct a competing risk nomogram to make precise predictions of the breast cancer-specific death (BCSD) risk among LRT recipients.

METHODS

A total of 9279 eligible stage-IV BC patients from the Surveillance Epidemiology and End Results (SEER) database were included in this study. Initially, we evaluated the impact of LRT on survival both before and after the propensity score matching (PSM). Then, we used the Cox hazard proportional model and competing risk model to identify the independent prognostic factors for LRT recipients. Based on the screened variables, a comprehensive nomogram was established.

RESULTS

Kaplan-Meier curves demonstrated that LRT significantly prolonged overall survival (OS) and breast cancer-specific survival (BCSS) (P < 0.001). In addition, patients treated with surgery combined with postoperative radiotherapy (PORT) possessed the optimal survival (P < 0.001). Regardless of the surgical modalities, primary tumor resection combined with radiotherapy could ameliorate the prognosis (P < 0.05). Subgroup analysis showed that in patients with T2-T4 stage, PORT had a survival benefit compared with those undergoing surgery combined with preoperative radiotherapy (PRRT) and surgery only. Based on the screened independent prognostic factors, we established a comprehensive nomogram to forecast BCSD in 1 year, 2 years and 3 years, which showed robust predictive ability.

CONCLUSION

PORT was associated with a lower BCSD in stage-IV BC patients. The practical nomogram could provide a precise prediction of BCSD for LRT recipients, which was meaningful for patients' individualized management.

Unravelling oligometastatic disease from the perspective of radiation and medical oncology. Part I: non-small cell lung cancer and breast cancer

Oligometastatic disease (OMD) defines a cancer status that is intermediate between localized and widely spread metastatic disease, and can be treated with curative intent. While diagnostic imaging tools have considerably improved in recent years, unidentified micrometastases can still evade current detection techniques, allowing the disease to progress. The various OMD scenarios are mainly defined by the number of metastases, the biological and molecular tumour profiles, and the timing of the development of metastases. Increasing knowledge has contributed to the earlier and improved detection of OMD, underlining the importance of early disease control. In view of increasing OMD detection rates in current real-world clinical practice and the lack of standardized evidence-based guidelines to treat this cancer status, a board of experts from the Spanish Societies of Radiation Oncology (SEOR) and Medical Oncology (SEOM) organized a series of sessions to update the current state-of-the-art on OMD from a multidisciplinary perspective, and to discuss how results from clinical studies might translate into promising treatment options. This expert review series summarizes what is known and what it is pending clarification in the context of OMD in the scenarios of non-small cell lung cancer and breast cancer (Part I), and prostate cancer and colorectal cancer (Part II), aiming to offer specialists a pragmatic framework to help improve patient management.

Prognostic analysis of breast cancer in Xinjiang based on Cox proportional hazards model and two-step cluster method

Objective

To examine the factors that affect the prognosis and survival of breast cancer patients who were diagnosed at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2021, forecast the overall survival (OS), and assess the clinicopathological traits and risk level of prognosis of patients in various subgroups.

Method

First, nomogram model was constructed using the Cox proportional hazards models to identify the independent prognostic factors of breast cancer patients. In order to assess the discrimination, calibration, and clinical utility of the model, additional tools such as the receiver operating characteristic (ROC) curve, calibration curve, and clinical decision curve analysis (DCA) were used. Finally, using two-step cluster analysis (TCA), the patients were grouped in accordance with the independent prognostic factors. Kaplan-Meier survival analysis was employed to compare prognostic risk among various subgroups.

Result

T-stage, N-stage, M-stage, molecular subtyping, type of operation, and involvement in postoperative chemotherapy were identified as the independent prognostic factors. The nomogram was subsequently constructed and confirmed. The area under the ROC curve used to predict 1-, 3-, 5- and 7-year OS were 0.848, 0.820, 0.813, and 0.791 in the training group and 0.970, 0.898, 0.863, and 0.798 in the validation group, respectively. The calibration curves of both groups were relatively near to the 45° reference line. And the DCA curve further demonstrated that the nomogram has a higher clinical utility. Furthermore, using the TCA, the patients were divided into two subgroups. Additionally, the two groups' survival curves were substantially different. In particular, in the group with the worse prognosis (the majority of patients did not undergo surgical therapy or postoperative chemotherapy treatment), the T-, N-, and M-stage were more prevalent in the advanced, and the total points were likewise distributed in the high score side.

Conclusion

For the survival and prognosis of breast cancer patients in Xinjiang, the nomogram constructed in this paper has a good prediction value, and the clustering results further demonstrated that the selected factors were important. This conclusion can give a scientific basis for tailored treatment and is conducive to the formulation of focused treatment regimens for patients in practical practice.

Local surgery improves survival in elderly patients with stage IV breast cancer: a population-based retrospective cohort study

Background

Little is known about the role of local therapy in elderly patients with stage IV breast cancer. This study aimed to evaluate the effect of local therapy including surgery and radiotherapy in this kind of population by using the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

Eligible patients diagnosed between 2010 and 2015 were selected from the SEER database. Baseline characteristics, way of local therapy and survival information were collected for survival and analysis of prognostic factors. Cause-specific survival (CSS) curves were calculated using the Kaplan-Meier (KM) method and compared by the log-rank test. Cox regression and multivariate competing risk analyses were used to analyze prognosis factors.

Results

A total of 1,900 patients were enrolled with the median age of 71 (range, 65 to 95) years. The 5-year CSS of patients with surgery was significantly better than that of those who did not (36.5% vs. 22.4%, P<0.001). Moreover, surgery was an independent protective factor for CSS in both multivariate Cox regression analysis [hazard ratio (HR), 0.588; 95% confidence interval (CI), 0.485-0.643; P<0.001] and multivariate competing risk analysis [subdistribution HR (SHR), 0.620; 95% CI, 0.535-0.718; P<0.001]. Stratified analysis showed that most subgroup patients could benefit from surgery. The 5-year CSS of patients with radiotherapy was comparable to those without radiotherapy (28.9% vs. 26.5%, P=0.060), and radiotherapy was not an independent prognostic factor for CSS (SHR, 1.005; 95% CI, 0.846-1.202; P=0.954). However, subgroup analysis found that patients with moderate grade in histopathology, luminal A, or triple-negative breast cancer (TNBC) subtype could benefit from radiotherapy (all P<0.05).

Conclusions

Elderly patients with stage IV breast cancer can benefit from surgical treatment. This study helps to select the appropriate group for local surgery or radiotherapy according to the personal situation of the elderly to obtain the maximum benefit.

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases

Background

Bone is the most common metastatic site of patients with advanced breast cancer and the survival time is their primary concern; however, we lack accurate predictive models in clinical practice. In addition to this, primary surgery for breast cancer patients with bone metastases is still controversial.

Method

The data used for analysis in this study were obtained from the SEER database (2010-2019). We made a COX regression analysis to identify prognostic factors of patients with bone metastatic breast cancer (BMBC). Through cross-validation, we constructed an XGBoost model to predicting survival in patients with BMBC. We also investigated the prognosis of patients treated with neoadjuvant chemotherapy plus surgical and chemotherapy alone using propensity score matching and K-M survival analysis.

Results

Our validation results showed that the model has high sensitivity, specificity, and correctness, and it is the most accurate one to predict the survival of patients with BMBC (1-year AUC = 0.818, 3-year AUC = 0.798, and 5-year survival AUC = 0.791). The sensitivity of the 1-year model was higher (0.79), while the specificity of the 5-year model was higher (0.86). Interestingly, we found that if the time from diagnosis to therapy was ≥1 month, patients with BMBC had even better survival than those who started treatment immediately (HR = 0.920, 95%CI 0.869-0.974, P < 0.01). The BMBC patients with an income of more than USD$70,000 had better OS (HR = 0.814, 95%CI 0.745-0.890, P < 0.001) and BCSS (HR = 0.808 95%CI 0.735-0.889, P < 0.001) than who with income of < USD$50,000. We also found that compared with chemotherapy alone, neoadjuvant chemotherapy plus surgical treatment significantly improved OS and BCSS in all molecular subtypes of patients with BMBC, while only the patients with bone metastases only, bone and liver metastases, bone and lung metastases could benefit from neoadjuvant chemotherapy plus surgical treatment.

Conclusion

We constructed an AI model to provide a quantitative method to predict the survival of patients with BMBC, and our validation results indicate that this model should be highly reproducible in a similar patient population. We also identified potential prognostic factors for patients with BMBC and suggested that primary surgery followed by neoadjuvant chemotherapy might increase survival in a selected subgroup of patients.