• The Korean Journal of Cytopathology
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• v.3 no.2
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• pp.67-74
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• 1992

Apocrine carcinoma is a rare form of breast malignancy and is composed of entirely or predominantly of apocrine type epithelial cells. Apocrine metaplastic cells are frequently noted in fine needle aspiration cytology(FNAC) of breast lesions, especially fibrocystic disease. These apocrine cells may occasionally be atypical, to make a diagnostic difficulty. Two cases of apocrine carcinoma of the breast diagnosed by FNAC are described, and differential cytologic points between apocrine metaplasia and apocrine carcinoma are discussed. The first case is a right breast mass of a 37-year-old woman for 20 days. The smears show many single or sheets of large cells on bloody background. Each cell has a large vesicular nuclei with multiple macronucleoli and abundant eosinophilic granular cytoplasm. The second case is a left breast mass of a 35-year-old woman for one month. The smears show similar findings as seen in the first one. Histopathologic findings of both cases are typical of apocrine carcinoma. Electron microscopy demonstrates variable numbers of large osmiophilic granules in diameter of $200\sim600nm$ in both cases.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.2591-2600
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• 2015

Breast cancer is the most common cancer worldwide among women and the second most common cancer. Approximately 15-23% of breast cancers over-express human epidermal growth factor receptor2 (HER2), a 185-kDa transmembrane tyrosine kinase, which is mainly found at the cell surface of tumor cells. HER2-positive breast cancer, featuring amplification of HER2/neu and negative expression of ER and PR, has the three following characteristics: rapid tumor growth, lower survival rate, and better response to adjuvant therapies. Clinically, it is notable for its role in a pathogenesis that is associated with increased disease recurrence and acts as a worse prognosis. At the same time, it represents a good target for anti-cancer immunotherapy despite the prevalence of drug resistance. New treatments are a major topic of research, and a brighter future can be expected. This review discusses the role of HER2 in breast cancer, therapeutic modalities available and prognostic factors.

• Women's Health Nursing
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• v.12 no.4
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• pp.363-370
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• 2006

Purpose: The aim of this study was to analyze breast cancer screening behaviors in working women. Method: A total of 354 women over 20 years of age were recruited from three major occupational settings by convenience sampling. The Champion's Health Beliefs Model Scale-Korean version and a structured questionnaire for measuring regularity and accuracy of breast self-examination(BSE) were used. Data were analyzed using descriptive statistics, $x^$-test, ANOVA, and Duncan post hoc tests. Result: Women who have performed BSE and had both BSE and clinical tests were 49.2% and 32.8%, respectively, while 36.7% of the participants had none of the screening. The screening patterns were significantly different by individual characteristics of age, occupation, experiences of breast disease, education at workplace, and by the level of confidence in health beliefs (p<.01, p<.05). Only 4 % of women performed BSE regularly and the level of accuracy of the BSE was very low as well. Conclusion: Education at the workplace needs to emphasize the recommended guidelines and further increase the quality and results of the BSE for women's health.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3363-3367
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• 2016

Background: Breast cancer (BC) is a major health issue worldwide as well as in Pakistan. All women belonging to any race, ethnicity or lineage are in danger of developing breast cancer. Significant factors influencing the development of breast malignancies are the genetic background, environmental conditions, reproductive parameters, the consequences of female hormones both intrinsic and extrinsic, alteration of immune status, and biologic determinants. Materials and Methods: Overall 150 biopsy proven patients were included in the study. Samples were submitted for histopathology and determination of estrogen and progesterone receptor expression and HER-2/neu status. Associations with other characteristics like age, tumor stage, node involvement, histological grade were also studied. Results: Mean age at presentation was 46.7 years. The majority had invasive ductal carcinoma, 100 (84.7%), and were in stage pT3, 54 (45.7%). Important relationships (P<0.05) were found among ER, PR positivity, and Her 2 neu overexpression. However, no noteworthy link was identified amongst ER, PR, Her 2 neu and tumor grade, stage, age, lymph node involvement except for the menopausal status. Conclusions: In summary, breast cancer patients featured an advanced stage of disease, more lymph node involvement, and moderately high grade tumors and with more estrogen, progesterone receptor and HER-2 positive tumors.

• The Journal of Internal Korean Medicine
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• v.28 no.3
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• pp.608-614
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• 2007

Objectives : This study was carried out to investigate anti-proliferative effects on MCF-7 human breast cancer cells of Anemarrhenae Rhizoma (AR) extract. Breast cancer is the most common disease in Korean women. Despite remarkable improvements in treatment strategies against various cancers during the past 40 years. breast cancer still remains as one of the main causes of cancer mortality among women the whole world over. Methods : Be investigated the effects of AR on cytotoxicity of MCF-7 human breast cancer cells in various extract conditions (n-hexane, ethyl acetate, butanol and water fraction). Results : The extract of Anemarrhenae Rhjzoma inhibits the proliferation of MCF-7 cells in a dose dependent manner. Especially. the ethyl acetate fraction of Anemarrhenae Rhizoma showed specific Cytotoxicity on MCF-7 cells. Conclusions : In conclusion. it can be concluded that Anemarrhenae Rhizoma extract has an anti-proliferative effect on MCF-7 human breast cancer cells. Especially. the ethyl acetate fraction is most effective to inhibit proliferation of MCF-7 cells.

• Archives of Plastic Surgery
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• v.38 no.4
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• pp.539-542
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• 2011

Purpose: Despite the increasing number of patients with HIV (human immunodeficiency virus) infection, surgical experience with these patients remains limited in aesthetic and reconstructive surgery. The authors performed breast reconsruction with free TRAM (Transverse Rectus Abdominis Muculocutaneous) flap in HIV infected patient firstly in Korea. Methods: A 53-years-old female with HIV positive underwent delayed breast reconstruction with free TRAM flap and 6 months lateral nipple reconstruction was performed. All procedures were performed according to the HIV infection control guidelines provided by the Korea Centers for Disease Control and Prevention. Results: There were no complications such as infection, hematoma and flap loss and symmetry of breast was achieved. Conclusion: When the operation is performed in line with the guidelines of HIV infection control, breast reconstruction with free flap is possible and can obtain successful results.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.196-202
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• 2024

Currently, the second most devastating form of cancer in people, particularly in women, is Breast Cancer (BC). In the healthcare industry, Machine Learning (ML) is commonly employed in fatal disease prediction. Due to breast cancer's favorable prognosis at an early stage, a model is created to utilize the Dataset on Wisconsin Diagnostic Breast Cancer (WDBC). Conversely, this model's overarching axiom is to compare the effectiveness of five well-known ML classifiers, including Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), K-Nearest Neighbor (KNN), and Naive Bayes (NB) with the conventional method. To counterbalance the effect with conventional methods, the overarching tactic we utilized was hyperparameter tuning utilizing the grid search method, which improved accuracy, secondary precision, third recall, and finally the F1 score. In this study hyperparameter tuning model, the rate of accuracy increased from 94.15% to 98.83% whereas the accuracy of the conventional method increased from 93.56% to 97.08%. According to this investigation, KNN outperformed all other classifiers in terms of accuracy, achieving a score of 98.83%. In conclusion, our study shows that KNN works well with the hyper-tuning method. These analyses show that this study prediction approach is useful in prognosticating women with breast cancer with a viable performance and more accurate findings when compared to the conventional approach.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.9
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• pp.4049-4054
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• 2014

Background: Race and ethnicity are significant factors in predicting survival time of breast cancer patients. In this study, we applied advanced statistical methods to predict the survival of White non-Hispanic female breast cancer patients, who were diagnosed between the years 1973 and 2009 in the United States (U.S.). Materials and Methods: Demographic data from the Surveillance Epidemiology and End Results (SEER) database were used for the purpose of this study. Nine states were randomly selected from 12 U.S. cancer registries. A stratified random sampling method was used to select 2,000 female breast cancer patients from these nine states. We compared four types of advanced statistical probability models to identify the best-fit model for the White non-Hispanic female breast cancer survival data. Three model building criterion were used to measure and compare goodness of fit of the models. These include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC). In addition, we used a novel Bayesian method and the Markov Chain Monte Carlo technique to determine the posterior density function of the parameters. After evaluating the model parameters, we selected the model having the lowest DIC value. Using this Bayesian method, we derived the predictive survival density for future survival time and its related inferences. Results: The analytical sample of White non-Hispanic women included 2,000 breast cancer cases from the SEER database (1973-2009). The majority of cases were married (55.2%), the mean age of diagnosis was 63.61 years (SD = 14.24) and the mean survival time was 84 months (SD = 35.01). After comparing the four statistical models, results suggested that the exponentiated Weibull model (DIC= 19818.220) was a better fit for White non-Hispanic females' breast cancer survival data. This model predicted the survival times (in months) for White non-Hispanic women after implementation of precise estimates of the model parameters. Conclusions: By using modern model building criteria, we determined that the data best fit the exponentiated Weibull model. We incorporated precise estimates of the parameter into the predictive model and evaluated the survival inference for the White non-Hispanic female population. This method of analysis will assist researchers in making scientific and clinical conclusions when assessing survival time of breast cancer patients.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.17
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• pp.7731-7736
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• 2015

Background: Breast cancer usually shows a slow development rate and when it is recognized in early stages very successful treatment results can be achieved. This research was planned to research the health beliefs of nursing faculty students about breast cancer and breast self-examination (BSE). Materials and Methods: The first class students of nursing faculty formed the basis for this descriptive research (N=347). Sample selection was not made and all female students who wanted to participate voluntarily in the research during March-May of 2014 were included (n=331). Results: It was determined that 85.5% of students had knowledge about cancer, 79.5 % knew of breast cancer, and 65.3% were aware of how BSE is performed. According to the responses of students to the scale of the health belief model that is used to determine the health beliefs of students, item-point averages of trust and obstacle sub-dimensions were high. Conclusions: It is determined that more than half of students had knowledge about breast cancer and breast self-examination. Their health beliefs were affected by trust and obstacle perceptions, knowledge level about cancer, and awareness about how BSE is done. These factors should be considered in planning trainings that will be given to students. Social responsibility projects should have designed to create the awareness that cancer is a treatable disease.

• Biomolecules & Therapeutics
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• v.18 no.1
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• pp.92-98
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• 2010

Breast cancer has been estimated as one of the most common causes of cancer death among women. The major cause of death from breast cancer is the metastatic spread of the disease from the primary tumor to distant sites in the body. Lycopene is one of the major carotenoids in fruits and vegetables including tomatoes. Epidemiological studies have shown that the dietary intake of lycopene is associated with decreased risk of cancer. Although mounting evidence shows the chemopreventive effect of lycopene, the role of lycopene in the prevention of metastatic potential of breast cancer has not been determined yet. In the present study, we investigated the inhibitory effect of lycopene on invasive and migratory phenotypes of two highly aggressive breast cancer cell lines, H-Ras-transformed MCF10A human breast epithelial cells (H-Ras MCF10A) and MDA-MB-231 human breast cancer cells. Here, we report that lycopene significantly inhibits invasion and migration as well as proliferation of H-Ras MCF10A and MDA-MB-231 cells. This study suggested an in vitro anti-cancer and anti-metastatic potential of lycopene. We also showed that activations of ERKs and Akt were inhibited by lycopene in H-Ras MCF10A cells, suggesting that the ERKs and Akt signaling pathways may be involved in lycopene-induced anti-proliferative and/or anti-invasive/migratory effects in these cells. Taken in conjunction with the fact that breast cancer metastasis is one of the most lethal malignancies in women, our findings may provide useful information for the application of lycopene in establishing strategy to prevent the metastatic breast cancer.