Breast Neoplasms/diagnosis* ; China/epidemiology* ; Early Detection of Cancer ; Female ; Humans ; Mass Screening

PURPOSE: Although it is widely accepted that hormone receptor (HR) status is associated with later post-diagnostic periods, a debate exists as to whether the association is independent of age. The aim of our study was to confirm the impact of HR status on later period breast cancer-specific death (LP-BCSD) and later period non-breast cancer-specific death (LP-non-BCSD) in different age subgroups. METHODS: Surveillance, Epidemiology, and End Results databases were utilized to identify 181,108 breast cancer patients with > 5 years survival. The cumulative incidence of LP-BCSD and LP-non-BCSD was calculated using the Gray method. The subdistribution hazard ratio (SHR) of variables was estimated via the Fine and Gray proportional hazard regression model. Subgroup analyses for LP-BCSD and LP-non-BCSD were performed according to the HR status. RESULTS: The risk of LP-BCSD was exceeded by that of LP-non-BCSD at > 5 years since the diagnosis, particularly in old women. The competing risk regression model indicated that hormone receptor-positive (HR+) was an independent factor for more LP-BCSD (hazard ratio, 1.54; 95% confidence interval, 1.44–1.54; p < 0.001). However, stratified analysis indicated that HR+ was only associated with more LP-BCSD in the young women subgroup. Although HR+ was associated with more LP-non-BCSD, the predictive value of HR+ for LP-non-BCSD was eliminated after adjusting for age. CONCLUSIONS: HR+ was related to LP-BCSD in the premenopausal population. LP-BCSD should be an optimal endpoint in future trials designed to evaluate the role of extended adjuvant endocrine therapy.
Breast Neoplasms ; Breast ; Diagnosis ; Drug Therapy ; Epidemiology ; Female ; Humans ; Incidence ; Methods ; Prognosis ; Receptors, Estrogen

In this study, we aimed to evaluate the economic loss due to the diagnosis of breast cancer within the female South Korean working-age population. A population-based cost analysis was performed for cancer-related diagnoses between 1999 and 2014, using respective public government funded databases. Among the five most common cancers, breast cancer mortality was strongly associated with the growth in gross domestic product between 1999 and 2014 (R=0.98). In the female population, breast cancer represented the greatest productivity loss among all cancers, which was a consequence of the peak in the incidence of breast cancer during mid-working age in the working-age population, in addition to being the most common and fastest growing cancer among South Korean women. Our study shows that breast cancer not only represents a significant disease burden for individual patients, but also contributes a real, nonnegligible loss in productivity in the South Korean economy.
Breast Neoplasms* ; Breast* ; Costs and Cost Analysis ; Diagnosis ; Efficiency ; Employment ; Epidemiology* ; Female* ; Financial Management ; Gross Domestic Product ; Humans ; Incidence ; Mortality ; Quality of Life

The Korean Breast Cancer Society (KBCS) has established a nationwide breast cancer database using an online registration program in 1996. The present study aimed to analyze the basic findings and trends of breast cancer in Korea in 2015 using the data provided by the Korea Central Cancer Registry and the KBCS. In 2015, a total of 22,550 patients were newly diagnosed with breast cancer, of which 3,331 were carcinoma in situ cases and 19,219 were invasive cancer cases. The incidence rate of breast cancer in Korea has steadily increased since the nationwide database was established, and the crude rate and age-standardized rate including that of carcinoma in situ, were 88.1 and 66.0 cases per 100,000 women, respectively. In terms of age, the incidence of breast cancer was the highest in the 40–49-year-old age group (7,889 patients, 35.0%). With regard to surgical procedure, breast-conserving surgery was frequently performed (62.3%). However, the rate of mastectomy has been gradually increasing since 2012, that is, from 32.3% in 2014 to 36.1% in 2015. The rate of early breast cancer has continued to increase, and that of stages III and IV breast cancer was only 9.1% at the time of diagnosis. However, the 5-year survival rate of patients with carcinoma in situ from 2011 to 2015 was 92.3%, which was 14.4% higher than that from 1993 to 1995 (77.9%). Analysis of data from the nationwide registry of breast cancer will not only help to understand the characteristics of breast cancer in individuals in Korea, but will also significantly contribute to the treatment and research of breast cancer. Therefore, a high quality database for breast cancer in Korea must be established by further initiating registration project and establishing an objective legal basis.
Breast Neoplasms* ; Breast* ; Carcinoma in Situ ; Diagnosis ; Epidemiology ; Female ; Humans ; Incidence ; Korea* ; Mastectomy ; Mastectomy, Segmental ; Registries ; Survival Rate

In recent years, a number of studies have been reported on the various types of cancer arising from epigenetic alterations, including reports that these epigenetic alterations occur as a result of radiation exposure or infection. Thyroid cancer and breast cancer, in particular, have high cancer burden, and it has been confirmed that radiation exposure or onco-viral infection are linked to increased risk of development of these two types of cancer, respectively. Thus, the environment-epigenetic alteration-cancer occurrence (EEC) hypothesis has been suggested. This paper reviews the trends in research supporting this hypothesis for radiation exposure and onco-viral infection. If more evidences accumulate for the EEC hypothesis from future research, those findings may greatly aid in the prevention, early diagnosis, treatment, and prognosis of the thyroid cancer and breast cancer.
Breast Neoplasms ; Carcinogenesis ; DNA Methylation ; Early Diagnosis ; Epidemiology* ; Epigenomics* ; European Union ; Prognosis ; Radiation Exposure ; Thyroid Neoplasms

OBJECTIVE: Among the various psychiatric disorders, depression is a common comorbid condition in cancer patients. Due to the distinct and diverse nature of cancer, the prevalence of depression may be assumed to be affected by differences in primary cancer sites. In this study, we explored the prevalence rates of depression among the ten most prevalent cancers in South Korea using a national patient sample. METHODS: This was a 1-year cross-sectional study using a national patient sample provided by the South Korean National Health Insurance in 2011. We selected all patients who had received ICD-10 codes of the 10 most prevalent cancers and major depressive disorder. Afterwards, the cancer and depression groups were merged and analyzed. RESULTS: The MDD prevalence rate was highest in lung cancer (11.0%), followed by non-Hodgkin's lymphoma (9.2%), prostate (9.1%), bladder (8.8%), breast (7.8%), cervix (7.8%), colorectal (7.7%), stomach (6.9%), liver (6.5%), and thyroid cancer (5.6%). Within all cancer groups, patients with a MDD diagnosis were significantly older (p<0.05) than non-MDD patients. Colorectal, stomach, and thyroid cancer displayed a higher female proportion in the MDD group than the non-MDD group. In the subgroup analysis, the prevalence rate differed by age and sex. CONCLUSION: The prevalence of depression varied according to cancer types. Patients with lung cancer were the most prone to experience depression. Because clinical and psychological factors may influence MDD prevalence, these factors will need to be studied more closely in the future.
Breast ; Cervix Uteri ; Cross-Sectional Studies ; Depression* ; Depressive Disorder, Major ; Diagnosis ; Epidemiology ; Female ; Humans ; International Classification of Diseases ; Korea* ; Liver ; Lung Neoplasms ; Lymphoma, Non-Hodgkin ; National Health Programs ; Prevalence* ; Prostate ; Psychology ; Stomach ; Thyroid Neoplasms ; Urinary Bladder

Breast cancer is one of the major causes of cancer death in women. Many studies have sought to identify specific molecules involved in breast cancer and understand their characteristics. Many biomarkers which are easily measurable, dependable, and inexpensive, with a high sensitivity and specificity have been identified. The rapidly increasing technology development and availability of epigenetic informations play critical roles in cancer. The accumulated data have been collected, stored, and analyzed in various types of databases. It is important to acknowledge useful and available data and retrieve them from databases. Nowadays, many researches utilize the databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Surveillance, Epidemiology and End Results (SEER), and Embase, to find useful informations on biomarkers for breast cancer. This review summarizes the current databases which have been utilized for identification of biomarkers for breast cancer. The information provided by this review would be beneficial to seeking appropriate strategies for diagnosis and treatment of breast cancer.
Biomarkers* ; Breast Neoplasms* ; Breast* ; Diagnosis ; Epidemiology ; Epigenomics ; Female ; Gene Expression ; Genome ; Humans ; Industrial Development ; Sensitivity and Specificity

Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented with epidemiologic data, the women could easily assess breast cancer risk using internet. National Cancer Institute in the United States has released a Web-based Breast Cancer Risk Assessment Tool based on Gail model. However, it is inapplicable directly to Korean women since breast cancer risk is dependent on race. Also, it shows low accuracy (58%-59%). In this study, breast cancer discrimination models for Korean women are developed using only epidemiological case-control data (n = 4,574). The models are configured by different classification techniques: support vector machine, artificial neural network, and Bayesian network. A 1,000-time repeated random sub-sampling validation is performed for diverse parameter conditions, respectively. The performance is evaluated and compared as an area under the receiver operating characteristic curve (AUC). According to age group and classification techniques, AUC, accuracy, sensitivity, specificity, and calculation time of all models were calculated and compared. Although the support vector machine took the longest calculation time, the highest classification performance has been achieved in the case of women older than 50 yr (AUC = 64%). The proposed model is dependent on demographic characteristics, reproductive factors, and lifestyle habits without using any clinical or genetic test. It is expected that the model could be implemented as a web-based discrimination tool for breast cancer. This tool can encourage potential breast cancer prone women to go the hospital for diagnostic tests.
Adult ; Aged ; Aged, 80 and over ; Breast Neoplasms/*diagnosis/*epidemiology ; Diagnosis, Computer-Assisted/*methods ; Early Detection of Cancer/*methods ; Female ; Humans ; *Machine Learning ; Middle Aged ; Pattern Recognition, Automated/methods ; Prevalence ; Reproducibility of Results ; Republic of Korea/epidemiology ; Risk Assessment/methods ; Risk Factors ; Sensitivity and Specificity ; Women's Health/*statistics & numerical data

PURPOSE: Breast cancer subtype correlates with response to systemic therapy and overall survival (OS), but its impact on lymphatic spread is incompletely understood. In this study, we used the Surveillance, Epidemiology, and End Results registry to assess whether the subtype can predict the presence of nodal metastasis or advanced nodal stage in breast cancer. METHODS: A total of 7,274 eligible patients diagnosed with T1-3 infiltrating ductal carcinoma with known estrogen or progesterone hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status, who underwent surgical excision of the primary tumor and pathologic lymph node evaluation, were included in this analysis. Patients were categorized into four breast cancer subtypes: HR+/HER2-; HR+/HER2+; HR-/HER2+; and HR-/HER2-. Binary logistic regression analysis was used to determine whether breast cancer subtype, tumor size, tumor grade, patient race, and patient age at diagnosis are independently predictive of lymph node positivity or advanced nodal stage. The Pearson chi-square test was used to determine whether progesterone receptor (PR) status had an impact on the incidence of lymph node positivity in estrogen receptor (ER) positive patients. RESULTS: Independent predictors of nodal positivity included breast cancer subtype (p=0.040), tumor size (p<0.001), tumor grade (p<0.001), and patient age (p<0.001), whereas only tumor size (p<0.001), grade (p=0.001), and patient age (p=0.005) predicted advanced nodal stage. Triple-negative cancers had a significantly lower risk of nodal positivity than the HR+/HER2- subtype (odds ratio, 0.686; p=0.004), but no other significant differences between subtypes were observed. There was also no difference in lymph node positivity between PR+ and PR- tumors amongst ER+/HER2- (p=0.228) or ER+/HER2+ tumors (p=0.713). CONCLUSION: The HR+/HER2-breast cancer subtype has a higher rate of lymph node involvement at diagnosis than the triple-negative subtype. These findings may play a role in guiding regional management considerations if confirmed in further studies.
Breast Neoplasms* ; Carcinoma, Ductal ; Continental Population Groups ; Diagnosis ; Epidemiology ; Estrogens ; Humans ; Incidence ; Logistic Models ; Lymph Nodes* ; Neoplasm Metastasis* ; Progesterone ; Receptor, Epidermal Growth Factor ; Receptors, Estrogen ; Receptors, Progesterone ; Biomarkers, Tumor

OBJECTIVES: This retrospective cohort study aimed at calculating some parameters of changes in the findings of the subsequent screening mammography (SSM) in female Korean volunteers. METHODS: The study included screenees aged 30 to 79 years who underwent SSM voluntarily after testing negative in the baseline screenings performed between January 2007 and December 2011. A change to a positive result was defined as category 4 or 5 by using the American College of Radiology Breast Imaging Reporting and Data System. The proportion of results that had changed to positive (CP, %) was calculated by dividing the number of cases with results that were positive in the SSM by the total number of study participants. The rate of results that had changed to positive (CR, cases per 100 000 screenee-months) was calculated by dividing the number of cases with results that were positive in the SSM by the total number of months of the follow-up period. RESULTS: The overall CP and CR in all age groups (n=77 908) were 2.26% and 93.94 cases per 100 000 screenee-months, respectively. The median CP interval in the subjects who had positive SSM results was 30 to 36 months, while that in the age group of 30 to 39 years was shorter. CONCLUSIONS: Different screening intervals should be considered among women aged between 30 and 59 years. In addition, a strategy for a screening program should be developed for the age group of 30 to 39 years, in particular.
Adult ; Aged ; Asian Continental Ancestry Group ; Breast Neoplasms/*diagnosis/epidemiology ; Early Detection of Cancer ; Female ; Follow-Up Studies ; Humans ; Incidence ; *Mammography ; Mass Screening ; Middle Aged ; Republic of Korea/epidemiology ; Retrospective Studies ; Women