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

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 ◽  
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.

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.

Circulating Ca 15.3 Levels in Breast Cancer. Our Present Experience

1986 ◽  
Vol 1 (2) ◽  
pp. 89-92 ◽  
Author(s):  
Ramon Colomer ◽  
Alvaro Ruibal ◽  
Matilde Navarro ◽  
Gloria Encabo ◽  
Luis Alfonso Sole ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Objective Response ◽  
Stage Iv ◽  
Distant Metastases ◽  
Response To Therapy ◽  
Breast Cancer Patients ◽  
Benign Diseases ◽  
Ca 15.3 ◽  
Stage Iv Breast Cancer

CA 15.3 is an antigen expressed by human breast carcinoma cells, and defined by two monoclonal antibodies, 115D8 and DF3. We used IRMA to determine the circulating serum levels of CA 15.3 in 1178 subjects with breast cancer, non-breast malignancies, benign diseases and controls. A threshold level of 40 U/ml was established with 140 healthy controls and 650 patients with benign diseases (respectively 0% subjects and 1.5% patients had abnormal antigen levels). Elevated CA 15.3 was found in 12 of 184 patients with malignancies different from breast cancer (6.5%), either epithelial carcinomas with distant metastases, mainly in the liver, or primary liver tumors. Breast cancer patients (n=204) were analysed by prior therapy, UICC stage and WHO response to therapy. Eight of 134 (5.9%) patients with stage II or III breast cancer at presentation and no evidence of disease (NED) had elevated CA 15.3. All of 22 patients with stage IV breast cancer not responding to therapy (SD and PD) had antigen levels > 40 U/ml, as did 10 of 34 (29.4%) stage IV patients in objective response (CR+PR). Three of 14 pretreatment patients had abnormal marker levels, and they later proved to have distant metastases. Serum CA 15.3 values were statistically different (p < 0.01) in NED (20.6 ± 11.2 U/ml), CR+PR (33.5 ± 24.0 U/ml), stable disease (98.8 ± 50.4 U/ml) and progressive disease (> 200 U/ml) breast cancer patients. Our results suggest that circulating CA 15.3 antigen levels agree with the stage of breast cancer and with the response to therapy.

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