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 ◽  
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 ◽  
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 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
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

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.

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.

scholarly journals Treatment outcomes and its associated factors among breast cancer patients at Kitui Referral Hospital

2022 ◽  
Vol 10 ◽  
pp. 205031212110678
Author(s):  
Mwendwa Dickson Wambua ◽  
Amsalu Degu ◽  
Gobezie T Tegegne
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Confidence Interval ◽  
Treatment Outcomes ◽  
Cancer Patients ◽  
Medical Records ◽  
Cox Regression ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis ◽  
Study Setting

Objectives: Despite breast cancer treatment outcomes being relatively poor or heterogeneous among breast cancer patients, there was a paucity of data in the African settings, especially in Kenya. Hence, this study aimed to determine treatment outcomes among breast cancer patients at Kitui Referral Hospital. Methods: A hospital-based retrospective cohort study design was conducted among adult patients with breast cancer. All eligible breast cancer patients undergoing treatment from January 2015 to June 2020 in the study setting were included. Hence, a total of 116 breast cancer patients’ medical records were involved in the study. Patients’ medical records were retrospectively reviewed using a predesigned data abstraction tool. The data were entered, cleaned, and analyzed using SPSS (Statistical Package for Social Sciences) version 26 software. Descriptive analysis—such as percentage, frequency, mean, and figures—was used to present the data. Kaplan–Meier survival analysis was used to estimate the mean survival estimate across different variables. A Cox regression analysis was employed to determine factors associated with mortality. Results: The study showed that the overall survival and mortality rate was 62.9% (73) and 37.1% (43), respectively. The regression analysis showed that patients who had an advanced stage of disease had a 3.82 times risk of dying (crude hazard ratio= 3.82, 95% confidence interval = 1.5–9.8) than an early stage of the disease. Besides, patients with distant metastasis had 4.4 times more hazards of dying than (crude hazard ratio = 4.4, 95% confidence interval = 2.1–9.4) their counterparts. Conclusion: The treatment outcome of breast cancer patients was poor, and its overall mortality among breast cancer patients was higher in the study setting. In the multivariate Cox regression analysis, the tumor size was the only statistically significant predictor of mortality among breast cancer patients. Stakeholders at each stage should, therefore, prepare a relevant strategy to improve treatment outcomes.

scholarly journals Survival Analysis: A Hospital Based Retrospective Life Span Study of Breast Cancer Patients after First Recurrence

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Madiha Liaqat ◽  
◽  
Waqas Fazil ◽  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Life Span ◽  
Survival Time ◽  
Cancer Patients ◽  
Cox Regression ◽  
Molecular Subtype ◽  
Published Data ◽  
Lower Grade ◽  
Breast Cancer Patients

Background Overall survival of breast cancer patients has been calculated many times but there is no precise research available regarding the survival time of breast cancer patients after recurrence. We investigated the effects factors on mortality due to breast cancer. Methods All Factors were analyzed using statistical tools and techniques to find out rate of mortality after recurrence. Descriptive statistics, cox proportional hazard models were used to find statistical significant variables. In the present study recurrence is considered as an important event which may play a role in study of breast cancer progression. In this study, we evaluated breast cancer risk factors in relation to mortality due to this disease among 1028 women with breast cancer in Lahore, Pakistan. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between risk factors and mortality due to breast cancer were estimated in subtype-specific Cox regression models. Results Survival of breast cancer patients depends upon many factors. A total of 581 alive and 447 deaths due to breast cancer occurred during a median follow-up period of 1977 days. Median survival time after recurrence was 3 years. Significant factors were included post- menopausal women who diagnosed and had recurrence at the age < 45 of molecular subtype estrogen receptor positive, progesterone receptor negative, Her2.neu positive with tumor size ≥ 3 & involved lymph nodes >5. Radiotherapy has increased life span of patients even after recurrence. Conclusion Younger women had higher risk of mortality after recurrence even gone through chemotherapy while lower grade tumor had good prognosis. Radiotherapy played a major role in increasing life time of breast cancer women after recurrence. Our findings are consistent with those from previously published data.

Breast Cancer in Mosul: A Survival Analysis

2020 ◽  
pp. 31-36
Keyword(s):  
Breast Cancer ◽  
Survival Analysis ◽  
Cancer Patients ◽  
Cox Regression ◽  
Hazard Ratio ◽  
Breast Cancer Patients ◽  
Cox Regression Analysis ◽  
Radical Removal ◽  
One Year ◽  
The Right

Breast cancer is the most common cancer in women, and the major cause of death. This study was conducted in order to make a descriptive study and survival analysis for breast cancer patients in Mosul. Two hundred forty-six early diagnosed women with breast cancer out of 290 patients were included during the period from March 2007 to February 2012. The average follows up was 36. months (range: 11-67 months). The patients were undergone modified radical removal of the breast, chemotherapy and deep radiation. Patients with estrogen positive were given tamoxifen for five years. Patients with Her2/neu positive were given trastuzumab with docytaxil for one year. Only 25 patients (10.2%) died during the study. The highest incidence of breast cancer (35.8%) was between the ages 51 ≥ 60 years. The presentation of cancer was high (90.1%) in the lumber. Tumor in the right side (66.35%) was significantly higher than the left side. Metastasis was high (25%) and most of them in the liver (19.1%). The percentage of patients with positive estrogen, progesterone, and Her2/neu receptors were not different from negative receptors. Cox regression analysis showed that metastasis had significant effect on death (hazard ratio=2.917). Age 31 ≥ 40 years was the least affected age (hazard ratio=0.034). In conclusion, survival rate of breast cancer patients in Mosul is high due to good management. The early detection of cancer is the best way for survival of the patients, by developing the educational programs.

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