• Korean Journal of Adult Nursing
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• v.18 no.1
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• pp.146-156
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• 2006

Purpose: 1) to construct cohorts according to risk scores calculated with the Gail Breast Cancer Risk Assessment Tool (Gail et al., 1989) (Gail) and the Breast Cancer Risk Appraisal (Lee et al,. 2003) (Lee) 2) to identify the distribution of risk factors and preventive behavior stages between the cohorts 3) to identify abnormal breast conditions in risk cohort. Method: Using convenience sampling, 775 rural women were selected. Risk appraisal was scored using Gail and Lee. Preventive behavior stages for BSE (Breast self examination) and mammography were measured using 4 stages of the Transtheoretical Model (Prochaska & DiClemente, 1983). Results: 1) The risk cohort according to Gail was 12.3% (n=95), and Lee, 3.1% (n=24). 2) There were significant differences in the distribution of risk factors (age, family history, age at 1st live birth, age at menarche, number of breast biopsy, history of breast disease, and breast-feeding) between cohorts. 3) There was a significant difference in the distribution of the stage of BSE according to Lee. 4) Six women in the risk group detected masses or nodules and physician consultation and ultrasonography were recommended. Conclusion: On the basis of the constructed cohorts, further longitudinal studies of cohorts are recommended with interventions according to characteristics of cohorts.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.4861-4866
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• 2012

This is a review article which looks into details what the actual scenario of the problem of breast cancer in our country is. As the problem is on the rise, what is the level of the preparedness at our end to tackle the problem. The articles reviews the epidemiology of breast, high risk factors, detection, diagnosis and treatment facilities also along with that screening facilities and their ground reality, awareness of the women from different walks regarding various issues of breast cancer and what intervention can be made to combat the disease.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4357-4361
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• 2016

Background: Whether there is any relationship between human papilloma virus (HPV) and breast carcinoma is not clear. Some previous studies have indicated a possible role in oncogenesis in the breast. In this study, we therefore analyzed the presence of HPV infection in breast tissues of Iranian women from Yazd city. Materials and Methods: In a cross-sectional study, formalin-fixed paraffin-embedded tissues from 87 patients with breast cancer and 84 cases with breast fibrocystic lesions (control group) were selected from a tissue archive. Grade of tumors and fibrocystic tissues were determined by two pathologists. The nested-PCR method was performed for detection of HPVs in samples. HPV genotypes were determined by sequencing and the phylogenetic tree depicted by MEGA software. Results: Of the 87 women with breast cancer, 22.9% (20 isolates) had positive results for HPV DNA. In the control group no HPV was detected. The HPV genotypes in positive samples were HPV-16 (35%) HPV-18 (15%), HPV-6 (45%) and HPV-11 (5%). The data did not approved a significant correlation between tissue pathology of breast cancer and the HPV genotype frequency. Conclusions: The data did not provide any evidence for a role of high risk HPV types in oncogenesis in the breast.

• Perspectives in Nursing Science
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• v.4 no.1
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• pp.1-8
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• 2007

Aim: The purpose of this paper is to present the importance of multidisciplinary strategies in cancer prevention and control, especially comprehensive breast cancer care. Background: Worldwide, breast cancer is the most common cancer diagnosed among women and is the leading cause of cancer deaths. Although the incidence of breast cancer in Asian countries is still lower than in Western countries, the rate of increase for the last two decades is striking. Methods: Data on cancer mortality, incidence, and risk factors were summarized by using the most recent data available from population-based cancer registries affiliated with the International Union Against Cancer, the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program and the CDC's National Program of Cancer Registries (NPCR). Results: Global differences in breast cancer incidence and fluctuations in rates within a country still exist. The incidence of breast cancer in Asian countries was lower than in Western countries. Breast cancer incidence in the United States decreased each year during 1999-2003. On the other hand, morbidity and mortality related to breast cancer in Asia has increased significantly. Conclusion: Multidisciplinary strategies to reduce breast cancer mortality and promote breast cancer awareness are addressed. Lessons learned from multidisciplinary approaches to cancer treatment and control will be valuable in implementing future breast cancer research in the fields of basic, clinical, and population research in Asia.

• Journal of radiological science and technology
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• v.23 no.1
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• pp.49-54
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• 2000

It is important to identify modifiable risk factors for breast cancer, because the breast cancer is one of the major causs of mortality among women. Some reported that obesity is a risk factor for breast cancer, but the results are not constant. Many risk factors are related to the duration of estrogenic stimulation of the breast. In general, early menarche and late menopause are positive risk factors. Human breast cancer has different characteristics according to the status of menopause(premenopause and postmenopause). In premenopausal women, about 60% of circulating estrogen is from the ovaries in the form of estradiol, and the remaining 40% is estrogen formed primarily in the adipose(fat) tissue via aromatization of androstenedion from the adrenal glands. After menopause this adipose cell production of estrone is the main source of estrogens and the level of estrone is maintained approximately at premenopausal levels. This study was undertaken to determine the role of body size and body mass index by status of menopause in development of breast cancer using retrospective case/control study. From March 1991 to February 1997 at the Wonkwang University Hospital, the breast cancer cases(n=72) and controls(n=86) were selected. By statistical analysis method, regression analysis, paired T-test and multiple logistic regression were done to estimate the influenced factors same as height, weight, BMI, age at menarche and age at menopause. The following results were obtained : 1. In premenopausal women, age at menarche was showed comparatively high correlation coefficients and BMI was described prominently highly in postmenopause. 2. At the results of multiple regression analysis, age at monarch, BMI and weight were showed as significant variables. In this method, critical factor ($R^2$) was 0.054. 3. Paired samples T-test was undertaken to test mean difference between two groups of cases and controls. The result of test performance showed a significant difference. 4. In comparison with women whose weight less than 50 kg, the ORs for the upper 5th group was 1.82(95% confidence interval). The heaviest women had a higher risk(OR=1.14, 95% confidence interval $1.12{\sim}1.31$, p=0.005). Higher body mass index was significantly associated with increased risk of premenopausal breast cancer (OR=1.01, 95% confidence interval $1.08{\sim}l.18$, p=0.05).

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.15-19
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• 2012

Male breast cancer is a very rare disease with an incidence of about 0.5-1% comparing with the one of female breast cancer but relatively little is known about its cause. Treatment strategies for breast cancer in males are derived from studies performed among females. The probable reasons behind the frequent, late diagnoses presented at stages III or IV might be the lack of awareness. The rarity of the disease precludes large prospective randomized clinical trials. This study reviews male breast cancer and its risk factors, recommendations for diagnosis and the management of patients with male breast cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.16
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• pp.6811-6817
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• 2014

Background: Breast cancer risk prediction models are widely used in clinical practice. They should be useful in identifying high risk women for screening in limited-resource countries. However, previous models showed poor performance in derived and validated settings. Therefore, we aimed to develop and validate a breast cancer risk prediction model for Thai women. Materials and Methods: This cross-sectional study consisted of derived and validation phases. Data collected at Ramathibodi and other two hospitals were used for deriving and externally validating models, respectively. Multiple logistic regression was applied to construct the model. Calibration and discrimination performances were assessed using the observed/expected ratio and concordance statistic (C-statistic), respectively. A bootstrap with 200 repetitions was applied for internal validation. Results: Age, menopausal status, body mass index, and use of oral contraceptives were significantly associated with breast cancer and were included in the model. Observed/expected ratio and C-statistic were 1.00 (95% CI: 0.82, 1.21) and 0.651 (95% CI: 0.595, 0.707), respectively. Internal validation showed good performance with a bias of 0.010 (95% CI: 0.002, 0.018) and C-statistic of 0.646(95% CI: 0.642, 0.650). The observed/expected ratio and C-statistic from external validation were 0.97 (95% CI: 0.68, 1.35) and 0.609 (95% CI: 0.511, 0.706), respectively. Risk scores were created and was stratified as low (0-0.86), low-intermediate (0.87-1.14), intermediate-high (1.15-1.52), and high-risk (1.53-3.40) groups. Conclusions: A Thai breast cancer risk prediction model was created with good calibration and fair discrimination performance. Risk stratification should aid to prioritize high risk women to receive an organized breast cancer screening program in Thailand and other limited-resource countries.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.7
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• pp.2971-2974
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• 2015

TP53 is assumed to be a very important tumour suppressor gene, as illustrated by recent reports that have shown effects of its polymorphisms on breast cancer risk. Arg72Pro and PIN3(16bp duplication) polymorphisms are proposed to have an effective role in structural changes of p53 and have therefore attracted interest as a risk factor for breast cancer in different populations. The aim of this study was to examine and determine whether p53 codon 72 and PIN3 Ins16 bp may be associated with an increased risk for breast cancer in female patients from the northwest of Iran. Genotyping was performed by PCR-RFLP (polymerase chain reaction-restriction fragment length polymorphism) method for a total of 100 women with breast cancer and 100 healthy women without any background of cancer, focusing on the TP53 Arg72Pro-16Del/Ins haplotypes and the combined genotypes. The results in this study established no statistical significant distinctions between the genotypes and a llele frequency were found for Arg72Pro and PIN3 Ins 16 bp polymorphisms between patients and controls.

• Journal of Korean Neurosurgical Society
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• v.52 no.3
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• pp.193-199
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• 2012

Objective : The objective of study is to evaluate the incidence of leptomeningeal carcinomatosis (LMC) in breast cancer patients with parenchymal brain metastases (PBM) and clinical risk factors for the development of LMC. Methods : We retrospectively analyzed 27 patients who had undergone surgical resection (SR) and 156 patients with whole brain radiation therapy (WBRT) as an initial treatment for their PBM from breast cancer in our institution and compared the difference of incidence of LMC according to clinical factors. The diagnosis of LMC was made by cerebrospinal fluid cytology and/or magnetic resonance imaging. Results : A total of 27 patients (14%) in the study population developed LMC at a median of 6.0 months (range, 1.0-50). Ten of 27 patients (37%) developed LMC after SR, whereas 17 of 156 (11%) patients who received WBRT were diagnosed with LMC after the index procedure. The incidence of LMC was significantly higher in the SR group compared with the WBRT group and the hazard ratio was 2.95 (95% confidence interval; 1.33-6.54, p<0.01). Three additional factors were identified in the multivariable analysis : the younger age group (<40 years old), the progressing systemic disease showed significantly increased incidence of LMC, whereas the adjuvant chemotherapy reduce the incidence. Conclusion : There is an increased risk of LMC after SR for PBM from breast cancer compared with WBRT. The young age (<40) and systemic burden of cancer in terms of progressing systemic disease without adjuvant chemotherapy could be additional risk factors for the development of LMC.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5669-5673
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• 2015

Background: Breast cancer is the most prevalent kind of cancer among women in Iran. Regarding the importance of cancer prevention and considerable variation of breast cancer incidence in different parts of the country, it is necessary to recognize regions with high incidence of breast cancer and evaluate the role of potential risk factors by use of advanced statistical models. The present study focussed on incidence of breast cancer in Iran at the province level and also explored the impact of some prominent covariates using Bayesian models. Materials and Methods: All patients diagnosed with breast cancer in Iran from 2005 to 2008 were included in the study. Smoking, fruit and vegetable intake, physical activity, obesity and the Human Development Index (HDI), measured at the province level, were considered as potential modulating factors. Gamma-Poisson, log normal and BYM models were used to estimate the relative risk of breast cancer in this ecological investigation with and without adjustment for the covariates. Results: The unadjusted BYM model had the best fit among applied models. Without adjustment, Isfahan, Yazd, and Tehran had the highest incidences and Sistan- Baluchestan and Chaharmahal-Bakhtiari had the lowest. With the adjusted model, Khorasan-Razavi, Lorestan and Hamedan had the highest and Ardebil and Kohgiluyeh-Boyerahmad the lowest incidences. A significantly direct association was found between breast cancer incidence and HDI. Conclusions: BYM model has better fit, because it contains parameters that allow including effects from neighbors. Since HDI is a significant variable, it is also recommended that HDI should be considered in future investigations. This study showed that Yazd, Isfahan and Tehran provinces feature the highest crude incidences of breast cancer.