• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.10
• /
• pp.5213-5217
• /
• 2012

Objective: This research was conducted to determine the breast cancer risk levels of women with and without previous mammography and their beliefs on breast cancer and mammography. Methods: The sample for this descriptive research consisted of women aged 50 years or older who were registered at the Family Health Center in the city center of Erzurum. The research was conducted with a total of 420 women with at least one mammography (210) and without mammography (210) who presented to the center on Wednesdays and Thursdays for any reason between 1 January 2010 and 1 January 2011. Research data were collected using the personal information "Breast Cancer Risk Assessment Form" accepted and recommended by the Turkish Ministry of Health, and the Champion's Health Belief Model Scale for Breast Cancer and Screening (CHBMS). Data were evaluated using percentages and means with the t-test. Results: According to the research data, 89.8% of the women were found to be in the low risk group, 87.6% with and 91.9% without mammography. When the health beliefs of women with and without mammography were compared, it was found that susceptibility, seriouness, motivation, mammography benefit scores were higher among those with mammography (p<0.01). The mammography barrier score average was higher in the group without mammography (p<0.01). Conclusion: Knowing women's health beliefs, which have positive and negative effects on participating in mammography screening, may increase the rate of mammography uptake among women. Moreover, women with high breast cancer risk may be determined by increasing society's level of knowledge on breast cancer and risk factors.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.16
• /
• pp.6525-6529
• /
• 2014

Background: The aim of this study was to determine the health beliefs and knowledge about breast self examination (BSE) and the actual BSE habits of female university nursing students. Materials and Methods: The study sample recruited 189 nursing students who agreed to participate in the study. Descriptive statistics, the Mann-Whitney U test, one way ANOVA test, t test and Pearson correlation analysis were used to analyse the data. Results: 83.1% of nursing students had knowledge about breast cancer (BC) and BSE in the study. BSE was practiced by 70.4% of nursing students; 21.8% of them performed BSE regularly. A fear of developing BC was an incentive for 85% of nursing students to practice BSE. The confidence subscale scores in the third and fourth years of students' university education were higher, and the barrier subscale score in these same years was lower than their first years of study. Perception of benefit of nursing students experiencing breast-related discomfort exerted a positive effect. Nursing students with lower perception of barriesr performed BSE regularly. In conclusion, nursing students' years of university study, breast cancer knowledge, history of breast cancer in family, and BSE practice status were factors affecting their health beliefs. Conclusions: These study results indicate the importance of developing education and training programs which educate not only nursing students but all women about breast cancer, its symptoms, the importance of early diagnosis and of regular BSE.

• Women's Health Nursing
• /
• v.16 no.4
• /
• pp.390-398
• /
• 2010

Purpose: The purpose of this study was to analyze periodic screening behaviors for breast cancer and factors affecting the screening behaviors among hospital nurses. Methods: A total of 461 nurses were recruited from 15 hospitals located in two southern areas of Korea. The Champion's Health Beliefs Model Scale-Korean version and a structured study questionnaire were used for data collection. Data were collected during July and August 2008. Results: Nurses who performed periodic mammography accounted for 15.6% of the total, while 22.8% performed periodic breast self-examination (BSE). Among married nurses, the rates of periodic mammography and BSE were significantly different by age, menopausal status, delivery experience, family history of breast cancer, and experiences of cervical cancer screening. Significant factors affecting periodic mammography were family history of breast cancer, experiences of cervical cancer screening, age above 40, and performance of periodic BSE. For health beliefs, levels of severity, confidentiality and barrier were significant factors for periodic BSE. Conclusion: Nurses, who are role models for health promoting behaviors, did not adequately performing periodic BSE and mammography. A health promotion program for breast cancer designed for hospital nurses is needed to improve performance rates for periodic screening behaviors for breast cancer.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.15
• /
• pp.6349-6352
• /
• 2014

The present study was undertaken to determine the roles of insulin in the growth of transplanted breast cancer in nude mice, and the proliferation and migration of MCF-7 human breast cancer cells and assess its influence on downstream signaling pathways. In a xenograft mouse model with injection of MCF-7 human breast cancer cells, tumor size was measured every other day. The insulin level and insulin receptor (IR) were increased in the breast cancer patient tissues. Insulin injected subcutaneously around the tumor site in mice caused increase in the size and weight of tumor masses, and promoted proliferation and migration of MCF-7 cells. The effects of insulin on the increase in the proliferation and migration of MCF-7 human breast cancer cells were abolished by pretreatment with the extracellular regulated kinase (ERK) inhibitor PD98059. Insulin increased the phosphorylation of ERK in the MCF-7 cells. These results indicate that insulin promotes the growth of breast cancer in nude mice, and increases the proliferation and migration of MCF-7 human breast cancer cells via the ERK pathway.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.6
• /
• pp.2893-2900
• /
• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.24
• /
• pp.10573-10576
• /
• 2015

Background: Accuracy in feature extraction is an important factor in image classification and retrieval. In this paper, a breast tissue density classification and image retrieval model is introduced for breast cancer detection based on thermographic images. The new method of thermographic image analysis for automated detection of high tumor risk areas, based on two-directional two-dimensional principal component analysis technique for feature extraction, and a support vector machine for thermographic image retrieval was tested on 400 images. The sensitivity and specificity of the model are 100% and 98%, respectively.

• Journal of Korea Society of Industrial Information Systems
• /
• v.21 no.6
• /
• pp.13-21
• /
• 2016

Feature selection is the one of important issue in the field of data mining and machine learning. It is the technique to find a subset of features which provides the best classification performance, from the source data. We propose a feature subset selection method using the neighborhood rough set model based on information granularity. To demonstrate the effectiveness of proposed method, it was applied to select the useful features associated with breast tumor diagnosis of 298 shape features extracted from 5,252 breast ultrasound images, which include 2,745 benign and 2,507 malignant cases. Experimental results showed that 19 diagnostic features were strong predictors of breast cancer diagnosis and then average classification accuracy was 97.6%.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.20 no.6
• /
• pp.1502-1506
• /
• 2006

To investigate the inhibitory effects of Citaowan (CTW) on the growth and angiogenesis of breast cancer in vivo. Orthotopic breast cancer model was established by injection of MDA-MB-231 cells into mammary fat pad of nude mice. Seven weeks after injection, CTW was orally administered at dose of 50, 100 mg/mouse every day for 40 days. Body weight, tumor volume, tumor apoptosis, microvessel density and tumor proliferation were evaluated, after the mice were sacrificed. The body weight and tumor volume were not significantly changed in CTW group compared with the control group. Tumor apoptosis, proliferation and microvessel density were significantly reduced in CTW group (100 mg/mouse) compared with the control group. These data indicate that CTW has anti-angiogenic and proapoptotic effects on breast cancer.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.12
• /
• pp.4823-4827
• /
• 2014

Background: Since inconsistent results have been reported regarding the relation between the matrix metalloproteinase-2 (MMP-2) -1306C>T polymorphism and susceptibility for breast cancer, we performed a meta-analysis to investigate the issue. Materials and Methods: An internet search of PubMed and EMBASE was performed to identify eligible studies. Pooled odds ratios (ORs) with their corresponding confidence intervals (CIs) were calculated to evaluate any association between MMP-2 -1306C>T polymorphism and breast cancer susceptibility. Results: Nine case-control studies were included in the meta-analysis, involving 9,858 cases and 10,871 controls. Overall, there was no evidence of any association between the MMP-2 -1306C>T polymorphism and breast cancer susceptibility in different genetic models (T-allele vs C-allele: OR=0.95, 95%CI, 0.82-1.10, p=0.49; TT vs CC: OR=1.03, 95%CI, 0.90-1.19, p=0.66; TT+TC vs CC: OR=0.93, 95%CI, 0.78-1.10, p=0.38; TT vs TC+CC: OR=1.02, 95%CI, 0.89-1.17, p=0.77). In the subgroup analysis by ethnicity, CC was associated with a significant increase in breast susceptibility among Latin-Americans in the dominant model (OR=0.61, 95%CI, 0.40-0.93, p=0.02), but the association disappeared in other models. No significant association was observed among Europeans, East Asians and others in different genetic models. In the subgroup analysis by their source of controls, no significant association between MMP-2 -1306C>T polymorphism and breast cancer susceptibility was noted among population-based studies and hospital-based studies in different genetic models. Conclusions: The results of this meta-analysis suggest that MMP-2 -1306C>T polymorphism is not associated with breast cancer susceptibility, although the association among Latin-Americans in the dominant model was significant.

• Asian Pacific Journal of Cancer Prevention
• /
• v.13 no.8
• /
• pp.3917-3925
• /
• 2012

Background: The relationship between postmenopausal hormone therapy (HT) and invasive breast cancer has been extensively investigated, but that with breast carcinoma in situ (BCIS) has received relatively little attention. The aim of our present study was to review and summarize the evidence provided by longitudinal studies on the association between postmenopausal HT use and BCIS risk. Methods: A comprehensive literature search for articles published up to May 2012 was performed. Prior to performing a meta-analysis, the studies were evaluated for publication bias and heterogeneity. Relative risk (RR) or odds ratio (OR) values were calculated using 14 reports (8 case-control studies and 6 cohort studies), published between 1986 and 2012. Results: There was evidence of an association between ever postmenopausal estrogen use and BCIS based on a random-effects model (RR = 1.25, 95% confidence interval (CI) = 1.01, 1.55). However, we found no strong evidence of an association between ever postmenopausal estrogen combined with progesterone use and BCIS using a randomeffects model (RR = 1.55, 95% CI = 0.95, 2.51). Furthermore, our analysis showed a strong association between "> 5 years duration" of estrogen or estrogen combined with progesterone use and BCIS. Furthermore, current use of any HT is associated with increased risk of BCIS in cohort studies. Additional well-designed large studies are now required to validate this association in different populations.