Detection Of Breast Cancer Risk Research Articles

Peran Simulasi Sadari sebagai Upaya Meningkatkan Pengetahuan Remaja Putri akan Resiko Kanker Payudara

Knowledge of young women on health, especially the risk of breast cancer, can be said to be still lacking. This can be seen from the behavior that is not sensitive to abnormal symptoms that arise in the breast such as a lump. Breast self-examination (BSE) is one way of early detection of breast cancer risk that is easy to do. This study aims to determine the effect of BSE simulation on the level of knowledge of young women in a private high school (SMA) in the Banyuwangi area. The method used is Quasi Experimental with One Group Pre test and Post test design. Respondents in this study amounted to 44 high school students who were selected by purposive sampling technique. The results of the pre-test showed that before being given health education, most of the students' knowledge was sufficient (62.8%), while after the intervention (post-test) simulation, the students' knowledge was good (77.3%). The results of the analysis using the independent sample t-test showed a significant influence on the knowledge of high school students before and after the intervention with p value <0.05. The active role of the school together with health workers to continue to provide simulations of breast self-examination should continue to be improved and carried out on an ongoing basis. Thus, students will be more sensitive to abnormal changes in their bodies, especially those at risk of breast cancer.

Analisis Hubungan Pengetahuan tentang Deteksi Dini Kanker Payudara pada Remaja Putri melalui Pemeriksaan Payudara Klinis (SADANIS)

Fibroadenoma is the most benign breast neoplasm. These tumors grow in young women with the highest frequency in young women 21-25 years, with a prevalence of more than 9% of the female population affected by fibroadenoma. Breast cancer still has a high likelihood of being cured when it comes to early or early. Early detection of breast cancer is an examination program to recognize breast cancer while still small, and before cancer has a chance to spread. One of the early detection efforts is clinical breast examination (SADANIS) which is carried out at least once every 3 years or if abnormalities are found in the process of self-breast examination (BSE) and carried out by trained health workers. The purpose of the study was to determine the relationship between knowledge and early detection of breast cancer risk in young women through the SADANIS examination. Observational research method with a cross-sectional approach. The sample is a student of SMK 1 Palu and a student of AKBID Cendrawasih Palu. The results showed that there was a significant relationship between knowledge about the SADANIS examination and the practice of SADANIS examination in young women so there is a strong relationship between young women's knowledge BSE in early detection of breast cancer as evidenced by the p-value 0.007<α (0.05). The conclusion is that the knowledge of young women about sadanis examination is still low.

Automated Characterization of Mammographic Density for Early Detection of Breast Cancer Risk

Automated Characterization of Mammographic Density for Early Detection of Breast Cancer Risk

Bio-medical analysis of breast cancer risk detection based on deep neural network

Breast tumour remains a most important reason of cancer fatality among women globally and most of them pass away due to delayed diagnosis. But premature recognition and anticipation can significantly diminish the chances of death. Risk detection of breast cancer is one of the major research areas in bioinformatics. Various experiments have been conceded to examine the fundamental grounds of breast tumour. Alternatively, it has already been verified that early diagnosis of tumour can give the longer survival chance to a patient. This paper aims at finding an efficient set of features for breast tumour prediction using deep learning approaches called restricted Boltzmann machine (RBM). The proposed framework diagnoses and analyses breast tumour patient's data with the help of deep neural network (DNN) classifier using the Wisconsin dataset of UCI machine learning repository and, thereafter assesses their performance in terms of measures like accuracy, precision, recall, F-measure, etc.

Bio-medical analysis of breast cancer risk detection based on deep neural network

Bio-medical analysis of breast cancer risk detection based on deep neural network

ANALISIS HUBUNGAN PENGETAHUAN TENTANG DETEKSI DINI KANKER PAYUDARA PADA REMAJA PUTRI MELALUI PEMERIKSAAN PAYUDARA KLINIS (SADANIS) DI AKBID CENDRAWASIH PALU DAN SMKN 1 PALU

Fibroadenoma is the most benign breast neoplasm. These tumors grow in young women with the highest frequency in young women 21-25 years, with a prevalence of more than 9% of the female population affected by fibroadenoma. Breast cancer still has a high likelihood of being cured when it comes early or early. Early detection of breast cancer is an examination program to recognize breast cancer while still small, and before the cancer has a chance to spread. One of the early detection efforts is clinical breast examination (SADANIS) which is carried out at least once every 3 years or if abnormalities are found in the process of self breast examination (BSE) and carried out by trained health workers. The purpose of the study was to determine the relationship between knowledge and early detection of breast cancer risk in young women through SADANIS examination. Observational research method with cross sectional approach. The sample is a student of SMK 1 Palu and a student of AKBID Cendrawasih Palu. The results showed that there was a significant relationship between knowledge about SADANIS examination and the practice of SADANIS examination in young women. In line with the Wantini and Indrayani (2018) study that there is a meaningful relationship between knowledge with early detection of breast cancer through SADANIS examination based ontest Fisher Exact's with a p-value of 0.012<α (0.05), so there is a strong relationship between young women's knowledge BSE in early detection of breast cancer as evidenced by the p-value 0.007<α (0.05). The conclusion is that the knowledge of young women about sadanis examination is still low Keywords: Knowledge, Early Detection of Breast Cancer, Adolescent Girls, SADANIS

Study of Association of TGF-ß1 Polymorphism with Breast Density in a Tertiary Medical Center of Malaysia

Early detection of breast cancer risk by screening tools such as mammography can reduces the cost of treatment management and the prognosis of the disease. The level of breast density of in mammogram is one of the potential cofounder factor for breast cancer risk. The development of mammary epithelial cells is determined by the genetic factor. Transforming growth factor-beta (TGF-s) gene involves in the regulation of cell proliferation and cell division. This study aimed to assess the association of TGF-s1 polymorphisms with breast density among women who underwent breast screening using mammogram. The detection of genotypes for three polymorphisms of TGF-s1 assigned as rs1800469, rs1800470 and rs4803455 were performed using PCR-RFLP technique. The allele and genotype frequencies were calculated for control group that consists of BIRADS 1 and BIRADS 2 class whilst case group consisted of BIRADS 3 and BIRADS 4 class. Two polymorphisms (rs1800469 and rs1800470) yielded a significant association with breast density with p value of 0.004 and 0.003, respectively. However, the third polymorphism, rs4803455 did not yield a significant association (p value=0.090). Haplotype association analysis might suggest the haplotype GAA conferred susceptibility (p value= 0.02, OR=2.21[1.07-4.55]) rather than haplotype AAC predispose a protective effect (p value=0.004, OR=0.40[0.21-0.77]) to breast density development. This preliminary data on single and haplotype association might reveal the association of polymorphisms of TGF-s1 with breast density and give an insight on the role of polymorphism in predisposing to breast density development.

Autoantibodies in breast cancer sera are not epiphenomena and may participate in carcinogenesis.

BackgroundThe objective of this work was to demonstrate that autoantibodies in breast cancer sera are not epiphenomena, and exhibit unique immunologic features resembling the rheumatic autoimmune diseases.MethodsWe performed a comprehensive study of autoantibodies on a collection of sera from women with breast cancer or benign breast disease, undergoing annual screening mammography. All women in this study had suspicious mammography assessment and underwent a breast biopsy. We used indirect immunofluorescence, the crithidia assay for anti-dsDNA antibodies, and multiple ELISAs for extractable nuclear antigens.ResultsAutoantibodies were detected in virtually all patients with breast cancer, predominantly of the IgG1 and IgG3 isotypes. The profile detected in breast cancer sera showed distinctive features, such as antibodies targeting mitochondria, centrosomes, centromeres, nucleoli, cytoskeleton, and multiple nuclear dots. The majority of sera showing anti-mitochondrial antibodies did not react with the M2 component of pyruvate dehydrogenase, characteristic of primary biliary cirrhosis. Anti-centromere antibodies were mainly anti-CENP-B. ELISAs for extractable nuclear antigens and the assays for dsDNA were negative.ConclusionsThe distinctive autoantibody profile detected in BC sera is the expression of tumor immunogenicity. Although some of these features resemble those in the rheumatic autoimmune diseases and primary biliary cirrhosis, the data suggest the involvement of an entirely different set of epithelial antigens in breast cancer. High titer autoantibodies targeting centrosomes, centromeres, and mitochondria were detected in a small group of healthy women with suspicious mammography assessment and no cancer by biopsy; this suggests that the process triggering autoantibody formation starts in the pre-malignant phase and that future studies using validated autoantibody panels may allow detection of breast cancer risk in asymptomatic women.Autoantibodies developing in breast cancer are not epiphenomena, but likely reflect an antigen-driven autoimmune response triggered by epitopes developing in the mammary gland during breast carcinogenesis. Our results support the validity of the multiple studies reporting association of autoantibodies with breast cancer. Results further suggest significant promise for the development of panels of breast cancer-specific, premalignant-phase autoantibodies, as well as studies on the autoantibody response to tumor associated antigens in the pathogenesis of cancer.Electronic supplementary materialThe online version of this article (doi:10.1186/s12885-015-1385-8) contains supplementary material, which is available to authorized users.

Abstract 1701: Elevated DNA adducts detected in human breast tumors than normal tissues from mammoplasty

Abstract Breast cancer is the most common cancer among women worldwide and the second leading cause of cancer-related death in women in the United States. The etiology of the majority of human breast cancers is unknown. Elevated levels of estrogen and exposure to environmental carcinogens have been suggested to be involved in human breast cancer development. Several studies have also provided evidence of the potential role of oxidative stress and lipid peroxidation in breast cancer etiology. Identification of DNA adducts and monitoring change in DNA adduct profiles/burden in normal and cancer tissue may provide clues for risk of breast cancer. In this study, we detected and compared the levels of a wide range of polar to lipophilic adducts in tumor (n= 23) and adjacent normal tissue (n= 30) from breast cancer patients with normal tissue (n=124) from mammoplasty using a 32P-postlabeling adductomics. Adducts were classified into polar (P-1, P-2a and P2b or 8-oxodG) and lipophilic (L-1) in descending order of their polarities. Our results indicated significantly elevated total DNA adduct levels in tumor and adjacent normal tissue of breast cancer patients compared to normal tissues from mammoplasty. The levels of most polar adducts (P-1) were not significantly different among the tumor, adjacent and normal breast tissue. However, relatively lesser polar adducts, i.e., P-2a, P-2b (8-oxodG) and L-1 adducts were significantly higher in tumor and adjacent normal tissues of breast cancer patients compared with normal tissues from mammoplasty. Thus, there is a clear trend of adduct accumulation in the breast tissues of cancer patients that could have acted as a precursor event in carcinogenesis process. Therefore, elevated oxidative DNA adducts such as 8-oxodG can be a possible biomarker for early detection of breast cancer risk and subjects with high DNA adduct load may potentially be at higher risk for cancer development, and could be stratified for chemopreventive intervention. (Supported from CA-90892 and Agnes Brown Duggan Endowment) Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1701.

Urine Biomarkers of Risk in the Molecular Etiology of Breast Cancer

Endogenous estrogens can be bio-activated to endogenous carcinogens via formation of estrogen quinones. Estrogen-3,4-quinones react with DNA to form mutagenic depurinating estrogen-DNA adducts. The carcinogenicity of endogenous estrogens is related to unbalanced estrogen metabolism leading to excess estrogen quinones and formation of depurinating DNA adducts. The present studies were initiated to confirm that relatively high levels of depurinating estrogen-DNA adducts are present in women at high risk for breast cancer or diagnosed with the disease. These adducts may be biomarkers for early detection of breast cancer risk. The estrogen metabolites, conjugates and depurinating DNA adducts were identified and quantified by using ultraperformance liquid chromatography/tandem mass spectrometry to analyze urine samples from 40 healthy control women, 40 high-risk women and 40 women with newly diagnosed breast cancer. Estrogen metabolism was shifted from protective methoxylation and conjugation pathways in healthy control women towards activating pathways leading to formation of depurinating DNA adducts in women at high risk or with breast cancer. These results support the hypothesis that breast cancer is initiated by mutations derived from depurination of estrogen-DNA adducts. Therefore, relative levels of depurinating estrogen-DNA adducts could become biomarkers for early detection of breast cancer risk and aid in determining preventive strategies.

The molecular etiology of breast cancer: Evidence from biomarkers of risk

Estrogens can become endogenous carcinogens via formation of catechol estrogen quinones, which react with DNA to form specific depurinating estrogen-DNA adducts. The mutations resulting from these adducts can lead to cell transformation and the initiation of breast cancer. Estrogen metabolites, conjugates and depurinating DNA adducts in urine samples from 46 healthy control women, 12 high-risk women and 17 women with breast cancer were analyzed. The estrogen metabolites, conjugates and depurinating DNA adducts were identified and quantified by using ultraperformance liquid chromatography/tandem mass spectrometry. The levels of the ratios of depurinating DNA adducts to their respective estrogen metabolites and conjugates were significantly higher in high-risk women (p < 0.001) and women with breast cancer (p < 0.001) than in control subjects. The high-risk and breast cancer groups were not significantly different (p = 0.62). After adjusting for patient characteristics, these ratios were still significantly associated with health status. Thus, the depurinating estrogen-DNA adducts are possible biomarkers for early detection of breast cancer risk and response to preventive treatment.

Screening for breast cancer risk in the obstetric/gynecological setting: a breast surgeon’s perspective

Despite recent gains in screening and detection of breast cancer risk in postmenopausal women in the USA, there are still significant challenges in current risk assessment methods and patient management in premenopausal women. A finding of atypia in this patient population, with either a histological or cytological determination, has been shown to confer a four- to fivefold increase in relative risk for developing breast cancer. Currently, 75% of women in the USA who develop breast cancer have no identifiable risk factors, other than age. By screening a premenopausal, asymptomatic population in the obstetric gynecological setting, it is possible to find women at a significantly increased risk of developing breast cancer. Identifying women at increased risk will help clinicians and their patients to better make informed decisions regarding risk reduction and management options.

Nipple Fluid Basic Fibroblast Growth Factor in Patients with Breast Cancer

It has been shown that early detection of breast cancer could save lives. Recently, there has been increasing interest in nipple fluid as a potential supplemental avenue for breast cancer diagnosis. In this study, we determined the levels of an angiogenic factor basic fibroblast growth factor (bFGF) in the nipple fluid of healthy subjects as well as patients with benign breast conditions, those at high risk for breast cancer, and patients with active breast cancer. ELISAs were used to measure bFGF. Nipple fluid bFGF levels were as follows (mean +/- SE): 158 +/- 17 pg/mL from benign breasts, 561 +/- 277 pg/mL from high-risk breasts, and 1,343 +/- 441 pg/mL from cancerous breasts. One-way ANOVA showed that the bFGF levels from cancerous breasts were significantly higher than those from benign and high-risk breasts (P = 0.0001 and P = 0.0193, respectively). After logarithmic transformation was applied to the data, high-risk breast bFGF levels were higher than those from benign breasts (P = 0.0028). With a cutoff level of 250 pg/mL, the sensitivity was 79.2%, specificity was 82.5%, and correct diagnosis was 66.4%. The area under the receiver operating characteristic curve was 0.86. We conclude that nipple fluid bFGF levels are progressively elevated in high-risk and cancerous breasts compared with benign breasts. The sensitivity and specificity of this test are promising compared with current breast cancer screening methods, and this test deserves further studies with larger clinical trials. Potential areas of usefulness include the detection of breast cancer risk or breast cancer, as well as the monitoring and/or prediction of the antiangiogenic effect of preventive therapies.