scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER-based study

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Xiao Li ◽  
Xiaoli Zhang ◽  
Jie Liu ◽  
Yinzhong Shen
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Cox Regression ◽  
Stage Iv ◽  
Significant Prognostic Factor ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis ◽  
Stage Iv Breast Cancer

Abstract Background Tumour subtype has a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of patients with bone metastases at breast cancer diagnosis are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors on the prognosis and survival of patients with bone metastases of breast cancer. Methods Using the Surveillance, Epidemiology, and End Results (SEER) Program data from 2012 to 2016, a retrospective cohort study was conducted to investigate stage IV breast cancer patients with bone metastases. Stage IV patient characteristics according to subtype were compared using chi-square tests. Overall survival (OS) and prognostic factors were compared using the Kaplan-Meier method and the Cox proportional hazards model, respectively. Results A total of 3384 stage IV patients were included in this study; 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR−/HER2-, and 7.39% were HR−/HER2+. The median OS for the whole population was 38 months, and 33.9% of the patients were alive at 5 years. The median OS and five-year survival rate were significantly different among stage IV breast cancer patients with different molecular subtypes (p < 0.05). Multivariate Cox regression analysis showed that age of 55–59 (HR = 1.270), black race (HR = 1.317), grade III or IV (HR = 1.960), HR−/HER2- (HR = 2.808), lung metastases (HR = 1.378), liver metastases (HR = 2.085), and brain metastases (HR = 1.903) were independent risk factors for prognosis; married status (HR = 0.819), HR+/HER2+ (HR = 0.631), HR−/HER2+ (HR = 0.716), insurance (HR = 0.587) and surgery (HR = 0.504) were independent protection factors of prognosis. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases, HR = 0.694, 95% CI: 0.485–0.992), but the interaction between race and subtype did not reach significance for prognosis. Conclusions There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS were age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases) for prognosis. Tumour subtype, as a significant prognostic factor, warrants further investigation.

scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER-based study

2020 ◽  
Author(s):  
Xiao Li ◽  
XiaoLi Zhang ◽  
Jie Liu ◽  
Shen Yin Zhong
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Cox Regression ◽  
Stage Iv ◽  
Significant Prognostic Factor ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis ◽  
Stage Iv Breast Cancer

Abstract Background: Tumour subtype has a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of patients with bone metastases at breast cancer diagnosis are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors on the prognosis and survival of patients with bone metastases of breast cancer.Methods: Using the Surveillance, Epidemiology, and End Results (SEER) Program data from 2012 to 2016, a retrospective cohort study was conducted to investigate stage IV breast cancer patients with bone metastases. Stage IV patient characteristics according to subtype were compared using chi-square tests. Overall survival (OS) and prognostic factors were compared using the Kaplan-Meier method and the Cox proportional hazards model, respectively.Results: A total of 3384 stage IV patients were included in this study; 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. The median OS for the whole population was 38 months, and 33.9% of the patients were alive at five years. The median OS and five-year survival rate were significantly different among stage IV breast cancer patients with different molecular subtypes (p<0.05). Multivariate Cox regression analysis showed that age of 55-59 (HR=1.270), black race (HR=1.317), grade III or IV (HR=1.960), HR-/HER2- (HR=2.808), lung metastases (HR=1.378), liver metastases (HR=2.085), and brain metastases (HR=1.903) were independent risk factors for prognosis; married status (HR=0.819), HR+/HER2+ (HR=0.631), HR-/HER2+ (HR=0.716), insurance (HR=0.587) and surgery (HR=0.504) were independent protection factors of prognosis. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases, HR=0.694, 95% CI: 0.485-0.992), but the interaction between race and subtype did not reach significance for prognosis.Conclusions: There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS were age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases) for prognosis. Tumour subtype, as a significant prognostic factor, warrants further investigation.

scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER-based study

2020 ◽  
Author(s):  
Xiao Li ◽  
Xiaoli Zhang ◽  
Shen Yin Zhong ◽  
Jie Liu
Keyword(s):  
Breast Cancer ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Cox Regression ◽  
Stage Iv ◽  
Cox Proportional Hazards Model ◽  
Significant Prognostic Factor ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis ◽  
Stage Iv Breast Cancer

Abstract Background: Tumour subtype has a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of patients with bone metastases at breast cancer diagnosis are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors on the prognosis and survival of patients with bone metastases of breast cancer.Methods: Using the Surveillance, Epidemiology, and End Results (SEER) Program data from 2012 to 2016, a retrospective cohort study was conducted to investigate stage IV breast cancer patients with bone metastases. Stage IV patient characteristics according to subtype were compared using chi-square tests. Overall survival (OS) and prognostic factors were compared using the Kaplan-Meier method and the Cox proportional hazards model, respectively.Results: A total of 3384 stage IV patients were included in this study; 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. The median OS for the whole population was 38 months, and 33.9% of the patients were alive at five years. The median OS and five-year survival rate were significantly different among stage IV breast cancer patients with different molecular subtypes (p<0.05). Multivariate Cox regression analysis showed that age of 55-59 (HR=1.270), black race (HR=1.317), grade III or IV (HR=1.960), HR-/HER2- (HR=2.808), lung metastases (HR=1.378), liver metastases (HR=2.085), and brain metastases (HR=1.903) were independent risk factors for prognosis; married status (HR=0.819), HR+/HER2+ (HR=0.631), HR-/HER2+ (HR=0.716), insurance (HR=0.587) and surgery (HR=0.504) were independent protection factors of prognosis. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases, HR=0.694, 95% CI: 0.485-0.992), but the interaction between race and subtype did not reach significance for prognosis.Conclusions: There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS were age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There was an interaction between the HR+/HER2+ subtype and other metastases (except bone metastases) for prognosis. Tumour subtype, as a significant prognostic factor, warrants further investigation.

scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER based study

2020 ◽  
Author(s):  
Xiao Li ◽  
Xiaoli Zhang ◽  
Jie Liu
Keyword(s):  
Breast Cancer ◽  
Prognostic Factor ◽  
Bone Metastases ◽  
Cox Regression ◽  
Stage Iv ◽  
Cox Proportional Hazards Model ◽  
Significant Prognostic Factor ◽  
Cancer Stage ◽  
Cox Regression Analysis ◽  
Stage Iv Breast Cancer

Abstract Introduction : Tumour subtype have a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of bone metastases at diagnosis of breast cancer are lacking.The aim of this study was to analyse the influence of tumour subtype and other factors in the prognostic and survival of patients with bone metastases of stage IV breast cancer. Methods : Using the Surveillance, Epidemiology, and End Results Program (SEER) data of 2012 to 2016 conducted a retrospective cohort study to investigate stage IV patients with bone metastases in breast cancer. Stage IV Patients characteristic according subtype were compared using chi-square, overall survival (OS), prognostic factor calculated using the Kaplan-Meier method and the Cox proportional hazards model. Results : A total of 3384 stage IV patients were included in this study. 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. Median OS for the whole population was 38 months, 33.9% of the patients were alive at five-year. The median OS and five-year survival rate among the different subtype of breast cancer stage IV patients are significant differences ( p <0.05). Multivariate Cox regression analysis showed that age of 55-59 (HR=1.270 ), black race (HR=1.317 ), grade in III/IV ( HR=1.960 ), HR-/HER2- (HR=2.808 ), lung metastases (HR=1.378 ), live metastases ( HR= 2.085 ), brain metastases (HR=1.903 ) are independent risk factors of prognosis; married ( HR=0.819 ), HR+/HER2+ (HR= 0.631 ), HR-/HER2+ (HR= 0.716 ), insurance ( HR=0.587 ) and surgery (HR=0.504 ) are independent protection factors of prognosis. There is interaction between HR+/HER2+ subtype and other metastases (except bone metastases , HR=0.694 , 95%CI: 0.485 -0.992 on prognosis. Conclusions : There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS are age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There is interaction between HR+/HER2+ subtype and other metastases (except bone metastases ）on prognosis. Tumour subtype, as a significant prognostic factor, warrant further investigation.

scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER based study

2019 ◽  
Author(s):  
Xiao Li ◽  
Xiaoli Zhang ◽  
Jie Liu
Keyword(s):  
Breast Cancer ◽  
Prognostic Factor ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Cox Regression ◽  
Molecular Subtype ◽  
Cox Proportional Hazards Model ◽  
Significant Prognostic Factor ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis

Abstract Background: Tumour subtype have a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of bone metastases at diagnosis of breast cancer are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors in the prognostic and survival of patients with bone metastases of breast cancer. Methods: Using the Surveillance, Epidemiology, and End Results Program (SEER) data of 2012 to 2016 conducted a retrospective cohort study to investigate patients with bone metastases in breast cancer. Patients characteristic according subtypes were compared using chi-square, overall survival (OS), prognostic factor calculated using the Kaplan-Meier method and the Cox proportional hazards model. Results: A total of 3384 patients were included in this study. 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. Median OS for the whole population was 38 months, and 33.9% of the patients were alive at five-year. The median OS and five-year survival rate among the different molecular subtype of breast cancer patients are significant differences (p<0.05). Multivariate Cox regression analysis showed that age of 55-59 ( HR=1.270 ), black race ( HR=1.320 ), grade in III or IV ( HR=1.952 ), HR-/HER2- ( HR=2.727), lung metastases (HR=1.249), live metastases (HR=1.840), brain metastases (HR=1.812) only bone metastases ( HR=1.237) are independent risk factors of prognosis; married ( HR=0.812 ), HR+/HER2+ ( HR=0.618 ), HR-/HER2+ (HR=1.237), insurance ( HR=0.597 ) and surgery (HR=0.512) are independent protection factors of prognosis. Conclusions: There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS are age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. Tumour subtype, as a significant prognostic factor, warrant further investigation. Keywords: Breast cancer, Bone metastases, Tumour subtype, Prognosis factor, Survival

scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER based study

2020 ◽  
Author(s):  
Xiao Li ◽  
Xiaoli Zhang ◽  
Jie Liu
Keyword(s):  
Breast Cancer ◽  
Prognostic Factor ◽  
Bone Metastases ◽  
Cox Regression ◽  
Molecular Subtype ◽  
Stage Iv ◽  
Cox Proportional Hazards Model ◽  
Significant Prognostic Factor ◽  
Cancer Stage ◽  
Cox Regression Analysis

Abstract Background : Tumour subtype have a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of bone metastases at diagnosis of breast cancer are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors in the prognostic and survival of patients with bone metastases of breast cancer. Methods : Using the Surveillance, Epidemiology, and End Results Program (SEER) data of 2012 to 2016 conducted a retrospective cohort study to investigate stage IV patients with bone metastases in breast cancer. Stage IV Patients characteristic according subtype were compared using chi-square, overall survival (OS), prognostic factor calculated using the Kaplan-Meier method and the Cox proportional hazards model. Results : A total of 3384 stage IV patients were included in this study. 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. Median OS for the whole population was 38 months, and 33.9% of the patients were alive at five-year. The median OS and five-year survival rate among the different molecular subtype of breast cancer stage IV patients are significant differences ( p <0.05). Multivariate Cox regression analysis showed that age of 55-59 (HR=1.270 ), black race ( HR=1.317 ), grade in III or IV ( HR=1.960 ), HR-/HER2- (HR=2.808), lung metastases (HR=1.378), live metastases (HR=2.085), brain metastases (HR=1.903) are independent risk factors of prognosis; married (HR=0.819 ), HR+/HER2+ (HR=0.631 ), HR-/HER2+ (HR=0.716), insurance (HR=0.587 ) and surgery (HR=0.504) are independent protection factors of prognosis. There is interaction between HR+/HER2+ subtype and other metastases (except bone metastases, HR=0.694, 95%CI: 0.485-0.992）,but interaction between race and substype did not reach significance on prognosis. Conclusions : There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS are age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There is interaction between HR+/HER2+ subtype and other metastases (except bone metastases) on prognosis. Tumour subtype, as a significant prognostic factor, warrant further investigation. Keywords : Breast cancer, Bone metastases, Tumour subtype, Prognosis factor, Survival

scholarly journals Prognostic factors and survival according to tumour subtype in women presenting with breast cancer bone metastases at initial diagnosis: a SEER based study

2020 ◽  
Author(s):  
Xiao Li ◽  
Xiaoli Zhang ◽  
Jie Liu
Keyword(s):  
Breast Cancer ◽  
Prognostic Factor ◽  
Bone Metastases ◽  
Cox Regression ◽  
Molecular Subtype ◽  
Stage Iv ◽  
Cox Proportional Hazards Model ◽  
Significant Prognostic Factor ◽  
Cancer Stage ◽  
Cox Regression Analysis

Abstract Background: Tumour subtype have a significant effect on bone metastasis in breast cancer, but population-based estimates of the prognosis of bone metastases at diagnosis of breast cancer are lacking. The aim of this study was to analyse the influence of tumour subtype and other factors in the prognostic and survival of patients with bone metastases of breast cancer.Methods: Using the Surveillance, Epidemiology, and End Results Program (SEER) data of 2012 to 2016 conducted a retrospective cohort study to investigate stage IV patients with bone metastases in breast cancer. Stage IV Patients characteristic according subtype were compared using chi-square. Overall survival (OS), prognostic factor calculated using the Kaplan-Meier method and the Cox proportional hazards model.Results: A total of 3384 stage IV patients were included in this study. 63.42% were HR+/HER2-, 19.86% were HR+/HER2+, 9.34% were HR-/HER2-, and 7.39% were HR-/HER2+. Median OS for the whole population was 38 months, and 33.9% of the patients were alive at five-year. The median OS and five-year survival rate among the different molecular subtype of breast cancer stage IV patients are significant differences (p<0.05). Multivariate Cox regression analysis showed that age of 55-59 (HR=1.270), black race (HR=1.317), grade in III or IV (HR=1.960), HR-/HER2- (HR=2.808), lung metastases (HR=1.378), live metastases (HR=2.085), brain metastases (HR=1.903) are independent risk factors of prognosis; married (HR=0.819), HR+/HER2+ (HR=0.631), HR-/HER2+ (HR=0.716), insurance (HR=0.587) and surgery (HR=0.504) are independent protection factors of prognosis. There is interaction between HR+/HER2+ subtype and other metastases (except bone metastases, HR=0.694, 95%CI: 0.485-0.992), but interaction between race and substype did not reach significance on prognosis. Conclusions: There were substantial differences in OS according to tumour subtype. In addition to tumour subtype, other independent predictors of OS are age at diagnosis, race, marital status, insurance, grade, surgery and visceral metastases. There is interaction between HR+/HER2+ subtype and other metastases (except bone metastases) on prognosis. Tumour subtype, as a significant prognostic factor, warrant further investigation.

scholarly journals Surgery for primary tumor benefits survival for breast cancer patients with bone metastases: a large cohort retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhangheng Huang ◽  
Xin Zhou ◽  
Yuexin Tong ◽  
Lujian Zhu ◽  
Ruhan Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Predictive Accuracy ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Risk Of Death ◽  
The Impact

Abstract Background The role of surgery for the primary tumor in breast cancer patients with bone metastases (BM) remains unclear. The purpose of this study was to determine the impact of surgery for the primary tumor in breast cancer patients with BM and to develop prognostic nomograms to predict the overall survival (OS) of breast cancer patients with BM. Methods A total of 3956 breast cancer patients with BM from the Surveillance, Epidemiology, and End Results database between 2010 and 2016 were included. Propensity score matching (PSM) was used to eliminate the bias between the surgery and non-surgery groups. The Kaplan-Meier analysis and the log-rank test were performed to compare the OS between two groups. Cox proportional risk regression models were used to identify independent prognostic factors. Two nomograms were constructed for predicting the OS of patients in the surgery and non-surgery groups, respectively. In addition, calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the performance of nomograms. Result The survival analysis showed that the surgery of the primary tumor significantly improved the OS for breast cancer patients with BM. Based on independent prognostic factors, separate nomograms were constructed for the surgery and non-surgery groups. The calibration and ROC curves of these nomograms indicated that both two models have high predictive accuracy, with the area under the curve values ≥0.700 on both the training and validation cohorts. Moreover, DCA showed that nomograms have strong clinical utility. Based on the results of the X-tile analysis, all patients were classified in the low-risk-of-death subgroup had a better prognosis. Conclusion The surgery of the primary tumor may provide survival benefits for breast cancer patients with BM. Furthermore, these prognostic nomograms we constructed may be used as a tool to accurately assess the long-term prognosis of patients and help clinicians to develop individualized treatment strategies.

Relationship between tumor size and metastatic site in patients with stage IV breast cancer: A large SEER-based study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13065-e13065
Author(s):  
Qian Dong ◽  
Mi Zhang ◽  
Da Jiang
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Tumor Size ◽  
Stage Iv ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Chi Square ◽  
Metastatic Site ◽  
Luminal B ◽  
Stage Iv Breast Cancer

e13065 Background: To analyze the correlation between tumor size and metastatic site in first-diagnosed stage IV breast cancer patients. Methods: Stage IV breast cancer patients diagnosed from 2010 to 2015 were screened by the Surveillance, Epidemiology, and End Results (SEER) database. The characteristics of clinical variables were represented by a frequency table, and the Chi-square test was used for comparison. At the same time, the Chi-square test was used to analyze the relationship between tumor size and organ metastasis. Correlation between tumor size and the prognosis of patients was contributed by KM curve and Log-rank test. Results: Regardless of tumor size, the proportion of bone metastasis was higher and brain metastasis was lower in breast cancer patients. There were significant differences in the site of metastases based on different subtype. Luminal A and Luminal B breast cancer had the highest proportion of bone metastases; brain metastasis accounted for the highest proportion in triple-negative breast cancer (TNBC); while the incidence of liver metastasis was the highest in Her-2(+) breast cancer. At the same time, the results indicated that Luminal A breast cancer with a tumor size > 5 cm was more likely to develop multi-site metastasis and lung metastasis, while Luminal B breast cancer with a tumor size ≤ 5 cm was more likely to develop liver metastasis. The results also revealed that TNBC patients with a tumor size of 0 - 2cm were more likely to develop bone metastasis than those with a tumor size > 5 cm, and the incidence of lung metastasis in triple-negative patients showed an increasing trend with the increase of tumor size. Conclusions: Based on subtype, we found that there was a significant difference between tumor size and metastatic site in patients with stage IV breast cancer, and the difference was statistically significant. This study provided evidence-based basis for decision-making of stage IV breast cancer treatment.

Immune-related gene based prognostic signature for the risk stratification analysis of breast cancer

2021 ◽  
Vol 16 ◽  
Author(s):  
Dongqing Su ◽  
Qianzi Lu ◽  
Yi Pan ◽  
Yao Yu ◽  
Shiyuan Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Risk Score ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis ◽  
Score Model

Background: Breast cancer has plagued women for many years and caused many deaths around the world. Method: In this study, based on the weighted correlation network analysis, univariate Cox regression analysis and least absolute shrinkage and selection operator, 12 immune-related genes were selected to construct the risk score for breast cancer patients. The multivariable Cox regression analysis, gene set enrichment analysis and nomogram were also conducted in this study. Results: Good results were obtained in the survival analysis, enrichment analysis, multivariable Cox regression analysis and immune-related feature analysis. When the risk score model was applied in 22 breast cancer cohorts, the univariate Cox regression analysis demonstrated that the risk score model was significantly associated with overall survival in most of the breast cancer cohorts. Conclusion: Based on these results, we could conclude that the proposed risk score model may be a promising method, and may improve the treatment stratification of breast cancer patients in the future work.

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