Relevant bibliographies by topics / Breast – Cancer – Etiology

Academic literature on the topic 'Breast – Cancer – Etiology'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Breast – Cancer – Etiology"

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DenizAtasoy, DenizAtasoy, FatihAydogan FatihAydogan, SevgiErgin SevgiErgin, KenanMidilli KenanMidilli, SennurIlvan SennurIlvan, CihanUras CihanUras, and AliCengiz AliCengiz. "Male Breast Cancer: No Evidence of Human Papillomavirus Etiology." International Journal of Surgery and Medicine 4, no. 3 (2019): 1. http://dx.doi.org/10.5455/ijsm.male-breast-cancer.

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Pathak, Dorothy R., Janet R. Osuch, and Jianping He. "Breast carcinoma etiology." Cancer 88, S5 (March 1, 2000): 1230–38. http://dx.doi.org/10.1002/(sici)1097-0142(20000301)88:5+<1230::aid-cncr9>3.0.co;2-f.

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Tao, ZiQi, Aimin Shi, Cuntao Lu, Tao Song, Zhengguo Zhang, and Jing Zhao. "Breast Cancer: Epidemiology and Etiology." Cell Biochemistry and Biophysics 72, no. 2 (December 28, 2014): 333–38. http://dx.doi.org/10.1007/s12013-014-0459-6.

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Hans-Olov, Adami, Adams Gerald, Boyle Peter, Ewertz Marianne, C. Lee Nancy, Lund Eiliv, B. Miller Anthony, Olsson Håkan, Steel Michael, and Trichopoulos Dimitrios. "Chapter II. Breast-Cancer Etiology." International Journal of Cancer 46, S5 (1990): 22–39. http://dx.doi.org/10.1002/ijc.2910460704.

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Sharpe, Colin, and Jean-François Boivin. "The Etiology of Female Breast Cancer." Medical Principles and Practice 9, no. 1 (2000): 1–24. http://dx.doi.org/10.1159/000026115.

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Shull, James D., Kirsten L. Dennison, Aaron C. Chack, and Amy Trentham-Dietz. "Rat models of 17β-estradiol-induced mammary cancer reveal novel insights into breast cancer etiology and prevention." Physiological Genomics 50, no. 3 (March 1, 2018): 215–34. http://dx.doi.org/10.1152/physiolgenomics.00105.2017.

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Numerous laboratory and epidemiologic studies strongly implicate endogenous and exogenous estrogens in the etiology of breast cancer. Data summarized herein suggest that the ACI rat model of 17β-estradiol (E2)-induced mammary cancer is unique among rodent models in the extent to which it faithfully reflects the etiology and biology of luminal types of breast cancer, which together constitute ~70% of all breast cancers. E2 drives cancer development in this model through mechanisms that are largely dependent upon estrogen receptors and require progesterone and its receptors. Moreover, mammary cancer development appears to be associated with generation of oxidative stress and can be modified by multiple dietary factors, several of which may attenuate the actions of reactive oxygen species. Studies of susceptible ACI rats and resistant COP or BN rats provide novel insights into the genetic bases of susceptibility and the biological processes regulated by genetic determinants of susceptibility. This review summarizes research progress resulting from use of these physiologically relevant rat models to advance understanding of breast cancer etiology and prevention.
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ROHAN, T. E., and C. J. BAIN. "DIET IN THE ETIOLOGY OF BREAST CANCER." Epidemiologic Reviews 9, no. 1 (1987): 120–45. http://dx.doi.org/10.1093/oxfordjournals.epirev.a036299.

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Holland, J. F., and G. T. Pogo. "Possible etiology of human breast cancer: comment." Biomedicine & Pharmacotherapy 53, no. 7 (August 1999): 334. http://dx.doi.org/10.1016/s0753-3322(00)88507-8.

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Labat, ML. "Possible retroviral etiology of human breast cancer." Biomedicine & Pharmacotherapy 52, no. 1 (January 1998): 6–12. http://dx.doi.org/10.1016/s0753-3322(97)86236-1.

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Dumitrescu, Ramona G., and Peter G. Shields. "The etiology of alcohol-induced breast cancer." Alcohol 35, no. 3 (April 2005): 213–25. http://dx.doi.org/10.1016/j.alcohol.2005.04.005.

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Dissertations / Theses on the topic "Breast – Cancer – Etiology"

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Mattsson, Anders. "On ionising radiation and breast cancer risk /." Stockholm, 1999. http://diss.kib.ki.se/1999/91-628-3272-7/.

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Morettin, Alan James. "Investigating the Role of Protein Arginine Methyltransferases in Breast Cancer Etiology." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/31920.

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Breast cancer is the most commonly diagnosed cancer amongst Canadian women. Though numerous treatments are available, in many instances tumours become refractory or recur. Therefore, understanding the biological events that lead to the progression and therapeutic resistance of breast cancer is essential for the development of novel treatment options for this disease. Numerous members of the protein arginine methyltransferase (PRMT) family, which are the enzymes responsible for catalyzing methylation on arginine residues are aberrantly regulated in breast cancer. Hence, understanding the precise contribution of PRMTs to the development and progression of breast cancer is important. This Thesis will present my findings on the alternatively spliced PRMT1 isoform, PRMT1v2, previously identified to be overexpressed in breast cancer cell lines and here shown to promote breast cancer cell survival and invasion. Second, a novel role is ascribed to PRMT6, another PRMT aberrantly expressed in breast cancer. PRMT6 promotes chemoresistance to the drug bortezomib by mediating stress granule formation through down-regulation of eIF4E. Increased stress granule formation in bortezomib-resistant cancer cells promotes cell survival. Third, DDX3, a prototypical PRMT substrate which is overexpressed in breast cancer cell lines and stimulates transformation of mammary epithelial cells is a novel substrate of PRMT1, CARM1, and PRMT6. Lastly, TDRD3, a reader/effector of arginine methylation also overexpressed in breast tumours regulates breast cancer cell proliferation, anchorage-independent growth and cell motility and invasion.
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Price, Melanie Anne. "Psychosocial variables in the development of breast cancer." Phd thesis, Department of Psychological Medicine, 2002. http://hdl.handle.net/2123/7776.

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RIBEIRO, ANA CARLA LIMA. "I WAS A WINNER: SOCIAL REPRESENTATIONS OF FEMALE BREAST CANCER, ITS ETIOLOGY AND TREATMENT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2005. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=6059@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Este trabalho teve como objetivo principal avaliar as representações sociais, elaboradas por mulheres que tiveram câncer de mama, sobre a doença, sua etiologia e tratamento. Desenvolvemos teoricamente o tema a partir de quatro perspectivas: biológica, psicossomática, psicossocial e multifatorial. Realizamos uma pesquisa de campo, de natureza qualitativa, estudando 10 casos de mulheres que tiveram câncer de mama com idades entre 35 e 50 anos, que se submeteram à mastectomia, podendo ter feito ou não a reconstrução mamária, e que participavam como membros de uma associação de apoio a mulheres com câncer de mama da cidade de Niterói, Rio de Janeiro. Como instrumento desta pesquisa, utilizamos um questionário identificador e entrevistas semidirigidas, aplicados a tais mulheres individualmente e, depois, a seus familiares, com base em roteiro pré-elaborado. Para avaliação dos dados obtidos, empregamos a análise de discurso intra-sujeito e intersujeito. Na primeira, buscamos identificar, em cada caso, a percepção das entrevistadas sobre a doença, sua etiologia e as repercussões do tratamento oncológico em sua identidade feminina. Na segunda, construímos 10 categorias de análise. Os resultados revelaram que o câncer é apreendido pelas mulheres como um risco e ameaça à vida, que a retirada da mama afeta, majoritariamente, a identidade corporal e feminina, e que o adoecimento provoca muitas mudanças em suas vidas.
The prime purpose of this paper is to assess the social representations created by women who have had breast cancer, and to discuss the disease, its etiology and treatment. We developed the theme theoretically, based on four perspectives: biological, psychosomatic, psychosocial and multi-factorial. We performed field research of a qualitative nature, studying ten cases of women who had breast cancer in the 35 to 50 age group and had undergone a mastectomy, could have done mammary reconstruction or not, and who participated as members of a support association to women with breast cancer in Niterói city, Rio de Janeiro State. As an instrument of this research, we used an identifying questionnaire and semi-focused interviews with those women individually and later with their relatives, based on a previously prepared script. In order to assess the obtained data, we used intra-subject and inter-subject discourse analysis. In the former, in each case we looked to identify the interviewee s perception of the disease, its etiology and the repercussions of cancer treatment on her female identity. In the latter, we created ten analytical categories. The results showed that women are apprehensive of cancer as life threatening and a risk, that breast removal in most cases affects the corporal and female identity, and that contracting the disease causes many changes in their lives.
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Xie, Bin, and 謝彬. "Sex hormone-induced mammary carcinogensis [sic] in the noble rat." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31239523.

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Gyenes, Gábor. "Cardiac side-effects of adjuvant radiotherapy for early breast cancer /." [Budapest] ; Stockholm, 1997. http://diss.kib.ki.se/1997/963-9106-04-6.

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Oakes, Samantha Richelle St Vincent's Clinical School UNSW. "Investigation of the role of prolactin in mammary gland development and carcinogenesis." Awarded by:University of New South Wales. St. Vincent's Clinical School, 2006. http://handle.unsw.edu.au/1959.4/28846.

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The pituitary hormone prolactin (Prl) is essential for alveolar morphogenesis and plays a role in breast carcinogenesis, however the mechanism that underlies these actions remains to be defined. Alterations in serum Prl provide the primary endocrine signal regulating developmental events in the mammary gland in sexually mature mammals. Prl production and post-translational phosphorylation by the pituitary is regulated by the neuropeptide Galanin (Gal) in response to hypothalamic signals integrating neuronal and endocrine inputs. Prl exerts its effects on the mammary epithelium in two ways, indirectly by modulation of the systemic hormonal environment, for example the release of progesterone from the corpus luteum, and directly by binding to Prl receptors (Prlr) within the mammary epithelium. Prl binding to Prlr initiates signalling predominantly via activation of the Jak2/Stat5 pathway, leading to altered patterns of gene transcription. One of these target genes is the ets transcription factor Elf5, which is required by the epithelium for alveolar morphogenesis. This thesis aims to further our understanding of the mechanisms by which prolactin exerts its influence on the mammary gland during alveolar morphogenesis and carcinogenesis. Transcript profiling revealed a lactation signature of 35 genes in Prlr+/- mice, Gal-/- mice and mice treated with a Prl mutant (S179D) that mimics phosphorylated Prl. We discovered that the majority of changes in gene expression were produced by prolactin rather than by Gal. The action of Gal was predominantly via modulation of Prl phosphorylation and release, as its effects were very similar to that of S179D. Knockout of Elf5 phenocopied knockout of Prlr, resulting in failure of alveolar morphogenesis and reduced expression of milk and lipid synthesis genes. Forced Elf5 expression at puberty resulted in aberrant differentiation of the terminal end buds and milk protein synthesis during ductal morphogenesis. Re-expression of Elf5 in Prlr-/- mammary epithelial cells completely rescued alveolar morphogenesis. These observations indicate that Elf5 is a master regulator of alveolar morphogenesis downstream of the Prlr. Loss of mammary epithelial Prlr resulted in reduced proliferation of low-grade neoplastic lesions resulting in increased tumour latency in the C3(1)/SV40T model of mammary carcinogenesis. There was no change in the growth rate, proliferation nor the morphology of tumours in Prlr-/-/C3(1)/SV40T transplants, thus Prl acts early in carcinogenesis to drive the proliferation of pre-invasive lesions resulting in faster progression to cancer.
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Rohan, Thomas Edward. "Diet, hormones and breast cancer : a case-control study in women /." Title page, table of contents, summary and appendices only, 1986. http://web4.library.adelaide.edu.au/theses/09PH/09phr7373.pdf.

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Breyer, Juliana Zeni. "Avaliação de potenciais fatores de risco para câncer de mama em uma população da região sul do Brasil." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2016. http://hdl.handle.net/10183/148119.

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Introdução: O câncer de mama tem se mostrado a neoplasia mais incidente entre as mulheres de todo o mundo. Entretanto, percebe-se que a incidência apresenta grande variação geográfica, sugerindo que a ação dos fatores de risco varie acentuadamente entre as diferentes populações. Assim, estudos em determinadas populações sobre os seus fatores determinantes para câncer de mama podem contribuir para melhorar as estratégias de saúde pública, reduzindo sua morbi-mortalidade. Objetivo: Avaliar potenciais fatores de risco para câncer de mama em uma população de Porto Alegre e construir um modelo multivariado com estes fatores para predição de risco de câncer de mama. Delineamento: Estudo de coorte de base populacional. Método: Foram selecionadas 4.242 mulheres com idades entre 40 e 69 anos, sem história pregressa de câncer de mama, em atendimento em unidades básicas de saúde de Porto Alegre, as quais foram submetidas a rastreamento mamográfico. Elas foram avaliadas em relação aos seguintes fatores de risco: raça, tabagismo, etilismo, idade da menarca, idade do nascimento do primeiro filho, número de gestações, idade da última gestação, tempo de amamentação, história de ooforectomia e histerectomia, idade da menopausa, tempo de uso de reposição hormonal, uso de contraceptivo hormonal, histórico de biópsias mamárias, história familiar, peso e altura. A coleta de dados referente aos potenciais fatores de risco para câncer de mama foi realizada em dois momentos distintos, sendo a primeira coleta realizada durante o período de recrutamento das participantes compreendido entre os anos de 2004 e 2006 nas unidades básicas de saúde e a segunda coleta de dados foi realizada no momento em que as participantes compareciam ao centro de referência para a primeira visita de rastreamento mamográfico. As variáveis coletadas em ambos os momentos eram complementares, porém algumas variáveis estavam presentes em ambos os instrumentos de coleta de dados, as quais foram analisadas apenas as variáveis coletadas no segundo momento por serem mais atuais. As variáveis categóricas foram descritas por frequências e percentuais. As variáveis quantitativas com distribuição simétrica foram descritas pela média e o desvio padrão e as variáveis com distribuição assimétrica pela mediana e o intervalo interquartil (percentis 25 e 75). A associação entre câncer de mama e potenciais fatores de risco foi avaliada através de um modelo logístico multivariado. Em todas estas análises, um valor de p abaixo de 0,05 foi considerado estatisticamente significativo e foi analisado e considerado o IC95%. Resultados: Um total de 73 participantes de 4.242 apresentaram diagnóstico de câncer de mama. A análise multivariada considerando todas as pacientes, de 40-69 anos, mostrou que quanto maior a idade (OR=1,08, 95%IC: 1,04-1,12), maior a altura (OR=1,04, 95%IC: 1,00-1,09) e história de biópsia mamária anterior (OR=2,66, 95%IC: 1,38-5,13) estavam associadas a desenvolvimento de câncer de mama. Por outro lado, o número de gestações (OR=0,87, 95%IC: 0,78-0,98) e uso de terapia de reposição hormonal (OR=0,39, 95%IC: 0,20-0,75) foram associados como fator protetor para câncer de mama. Adicionalmente, realizamos análise separando as participantes em grupos de 40-49 anos e 50-69 anos, pois algum fator de risco poderia ter comportamento específico nestas faixas etárias. Nenhum fator de risco adicional foi identificado com esta estratificação etária, sendo que alguns fatores perderam significância estatística. No grupo de 40-49 anos, altura e biópsia mamária anterior mantiveram-se como fatores de risco. No grupo de 50-69, biópsia mamária anterior manteve-se como fator de risco e número de gestações e uso de terapia de reposição hormonal mantiveram-se como fator protetor. Diversas sub-análises não contribuíram para o entendimento como reposição hormonal o qual foi identificado como fator protetor. Conclusão: Em nosso estudo o modelo de predição de risco indica que devem ser avaliadas as seguintes variáveis nesta população específica de 40 a 69 anos: idade, altura, realização de biópsias mamárias anteriores, número de gestações e utilização de terapia de reposição hormonal. Estes achados estão de acordo com a literatura e agregados a outros estudos podem ajudar a compreender melhor o modelo causal de câncer de mama na região sul do Brasil.
Introduction: Breast cancer has been the most common cancer among women worldwide. However, it is clear that the incidence has great geographic variation, which suggests that the action of risk factors varies substantially between different populations. Thus, studies on the determining factors for breast cancer in certain populations may contribute to improve public health strategies and reduce morbimortality. Objective: Assess potential risk factors for breast cancer in a population in southern Brazil and build a multivariate model using these factors for breast cancer risk prediction. Methods: 4,242 women aged between 40 and 69 years without a history of breast cancer were selected at primary healthcare facilities in Porto Alegre and submitted to mammographic screening. They were evaluated for the following risk factors: race, smoking, alcohol consumption, age at menarche, age at the birth of first child, number of pregnancies, age at the last pregnancy, duration of breastfeeding, history of oophorectomy and hysterectomy, age at menopause, duration of hormone replacement therapy, use of hormonal contraceptives, history of breast biopsies, family history, weight and height. The collection of data related to potential risk factors for breast cancer was conducted at two different times. The first collection was held during the recruitment of participants from 2004 to 2006 at primary healthcare units and the second data collection was performed at the time the participants went to the reference center for the first mammographic screening visit. The variables collected at both times were complementary, but some variables were present in both data collection instruments, and only the variables collected in the second phase were analyzed because they were more current. Categorical variables were described as frequencies and percentages. Quantitative variables with symmetric distribution were described as the mean and standard deviation, and variables with asymmetrical distribution as median and interquartile range (25th and 75th percentiles). The association between breast cancer and potential risk factors was evaluated using a multivariate logistic model. In all these analyses, a p-value less than 0.05 was considered statistically significant with a 95% CI. Results: A total of 73 participants among 4,242 had a breast cancer diagnosis. The multivariate analysis considering all patients aged 40-69 years showed that older age (OR = 1.08, 95% CI: 1.04-1.12), higher height (OR = 1.04, 95% CI: 1.00-1.09) and history of previous breast biopsy (OR = 2.66, 95% CI: 1.38 - 5.13) were associated with the development of breast cancer. Conversely, the number of pregnancies (OR = 0.87, 95% CI: 0.78-0.98) and use of hormone replacement therapy (OR = 0.39, 95% CI: 0.20 - 0 75) were associated as a protective factor for breast cancer. Additionally, we performed an analysis separating the participants into groups of 40-49 years old and 50-69 years old, since a risk factor could have a specific behavior in these age groups. No additional risk factors were identified within this age bracket, and some factors lost statistical significance. In the 40-49 year old group, height and previous breast biopsy remained as risk factors. In the 50-69 year old group, a previous breast biopsy remained as a risk factor and the number of pregnancies and use of hormone replacement therapy remained as a protective factor. A number of sub-analyses did not help us understand why or how hormone replacement acted as a protective factor. Conclusion: In our study, the risk prediction model indicates that the following variables should be assessed in this specific population from 40 to 69 years old: age, height, having had previous breast biopsies, number of pregnancies, and use of hormone replacement therapy. These findings are consistent with the literature and combined with other studies may help to better understand the causal model of breast cancer in southern Brazil.
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Erdem, Munire Tugba. "Modeling Diseases With Multiple Disease Characteristics: Comparison Of Models And Estimation Methods." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613531/index.pdf.

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Epidemiological data with disease characteristic information can be modelled in several ways. One way is taking each disease characteristic as a response and constructing binary or polytomous logistic regression model. Second way is using a new response which consists of disease subtypes created by cross-classification of disease characteristic levels, and then constructing polytomous logistic regression model. The former may be disadvantageous since any possible covariation between disease characteristics is neglected, whereas the latter can capture that covariation behaviour. However, cross-classifying the characteristic levels increases the number of categories of response, so that dimensionality problem in parameter space may occur in classical polytomous logistic regression model. A two staged polytomous logistic regression model overcomes that dimensionality problem. In this thesis, study is progressen in two main directions: simulation study and data analysis parts. In simulation study, models that capture the covariation behaviour are compared in terms of the response model parameter estimators. That is, performances of the maximum likelihood estimation (MLE) approach to classical polytomous logistic regression, Bayesian estimation approach to classical polytomous logistic regression and pseudo-conditional likelihood (PCL) estimation approach to two stage polytomous logistic regression are compared in terms of bias and variation of estimators. Results of the simulation study revealed that for small sized sample and small number of disease subtypes, PCL outperforms in terms of bias and variance. For medium scaled size of total disease subtypes situation when sample size is small, PCL performs better than MLE, however when the sample size gets larger MLE has better performance in terms of standard errors of estimates. In addition, sampling variance of PCL estimators of two stage model converges to asymptotic variance faster than the ML estimators of classical polytomous logistic regression model. In data analysis, etiologic heterogeneity in breast cancer subtypes of Turkish female cancer patients is investigated, and the superiority of the two stage polytomous logistic regression model over the classical polytomous logistic model with disease subtypes is represented in terms of the interpretation of parameters and convenience in hypothesis testing.
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Books on the topic "Breast – Cancer – Etiology"

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National Action Plan on Breast Cancer (Organization : U.S.). The Breast cancer etiology working group. [Washington, DC] (200 Independence Ave., Rm. 718F, SW, Washington 20201): U.S. Public Health Service, Office of Women's Health, 1997.

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National Action Plan on Breast Cancer (Organization : U.S.). The Breast cancer etiology working group. [Washington, DC] (200 Independence Ave., Rm. 718F, SW, Washington 20201): U.S. Public Health Service, Office of Women's Health, 1997.

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National Action Plan on Breast Cancer (U.S.). The Breast cancer etiology working group. [Washington, DC] (200 Independence Ave., Rm. 718F, SW, Washington 20201): U.S. Public Health Service, Office of Women's Health, 1997.

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Andrea, Manni, ed. Endocrinology of breast cancer. Totowa, N.J: Humana, 1999.

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Miller, W. R. Estrogen and breast cancer. New York: Springer, 1996.

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Estrogen and breast cancer. Austin: R.G. Landes Co., 1996.

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Fentiman, Ian S. Prevention of breast cancer. Austin, TX: R.G. Landes, 1993.

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Russo, Jose. Environment and breast cancer. New York: Springer, 2011.

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Fentiman, Ian S. Detection and treatment of breast cancer. 2nd ed. London: Martin Dunitz, 1998.

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Epstein, Samuel S. The breast cancer prevention program. New York, NY: Macmillan, 1997.

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Book chapters on the topic "Breast – Cancer – Etiology"

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LeMaistre, Charles F., and William L. McGuire. "Hormone Dependent Breast Cancer." In Etiology of Cancer in Man, 70–79. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2532-8_9.

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Moore, Dan H. "Synergisms in Breast Cancer Etiology." In New Frontiers in Mammary Pathology 1986, 5–35. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-3297-5_2.

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Gregl, A., C. J. Harrington, and O. S. Cigtay. "The Natural Untreated Course of Breast Cancer." In Etiology of Cancer in Man, 58–69. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2532-8_8.

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Bruzzi, Paolo. "Epidemiological Approach to Breast Cancer Etiology." In Epidemiology and Quantitation of Environmental Risk in Humans from Radiation and Other Agents, 479–97. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4615-9445-1_29.

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Kitapcioglu, Gul. "Epidemiology and Etiology of Breast Cancer." In Principles and Practice of Modern Radiotherapy Techniques in Breast Cancer, 3–12. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5116-7_1.

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Hermida, R. C., and F. Halberg. "Assessment of the Endocrine Risk of Developing Breast Cancer." In Etiology of Cancer in Man, 87–101. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2532-8_11.

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Modan, Baruch, and Flora Lubin. "Role of Diet in Breast Cancer Etiology." In Breast Cancer: Progress in Biology, Clinical Management and Prevention, 203–13. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4613-1617-6_17.

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de Waard, Frits. "On the Nutritional Etiology of Breast Cancer." In Advances in Experimental Medicine and Biology, 119–22. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2942-2_12.

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Wynder, E. L., L. Cohen, and D. Rose. "The Role of Diet in the Etiology and Causation of Breast Cancer." In Breast Cancer: Scientific and Clinical Progress, 328–36. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1753-1_22.

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Pritchard, K. I. "Estrogen/Hormone Replacement Therapy and the Etiology of Breast Cancer." In Recent Results in Cancer Research, 22–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-45769-2_3.

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Conference papers on the topic "Breast – Cancer – Etiology"

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Ellis, MJ. "Abstract BL2: The Molecular Etiology of Luminal-Type Breast Cancer." In Abstracts: 2019 San Antonio Breast Cancer Symposium; December 10-14, 2019; San Antonio, Texas. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.sabcs19-bl2.

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Lovejoy, Leann A., Craig D. Shriver, and Rachel E. Ellsworth. "Abstract B51: Genetic etiology of ER low/HER2- breast tumors." In Abstracts: AACR Special Conference: Advances in Breast Cancer Research; October 7-10, 2017; Hollywood, CA. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1557-3125.advbc17-b51.

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Katuwal, Sushmita, and Eero Pukkala. "Abstract P5-07-13: Causes of death among breast cancer patients and their relationship to etiology of breast cancer." In Abstracts: 2019 San Antonio Breast Cancer Symposium; December 10-14, 2019; San Antonio, Texas. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.sabcs19-p5-07-13.

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Gonzalez, Patricia, Katrina Flores, Kristi Allen, Monica Rosales, Sheila Castaneda, Gregory Talavera, Jung-Won Lim, Ming Wang-Letzkus, and Kimlin Ashing-Giwa. "Abstract B66: Beliefs about cancer etiology, health behaviors, and treatment patterns among multiethnic breast cancer survivors." In Abstracts: Fifth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Oct 27–30, 2012; San Diego, CA. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1055-9965.disp12-b66.

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Torgunakova, A. V., V. I. Minina, O. A. Soboleva, and Olga Neverova. "THE ROLE OF ADPRT 2285 A>G rs1136410 GENE POLIMORPHISM IN THE FORMING OF SUSCEPTIBILITY TO THE DEVELOPMENT OF BREAST CANCER." In I International Congress “The Latest Achievements of Medicine, Healthcare, and Health-Saving Technologies”. Kemerovo State University, 2023. http://dx.doi.org/10.21603/-i-ic-134.

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Breast cancer (BC), with nearly 1.7 million incidence and 522,000 deaths (according to GLOBOCAN statistics), is the most frequently occurring cancer in women. The etiology of BC is multifactorial and has not been fully elucidated. However, genetic factors are known to increase or decrease susceptibility to BC, suggesting that genetic polymorphisms play an important role in the oncopathology. Accordingly to these facts, the aim of our study was the analysis of polymorphic variants of DNA repair genes ADPRT 2285 A>G rs113641 in BC patients and conditionally healthy women of Kemerovo region.
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Grando, Gabriel Fiorio, and Juliano Peixoto Bastos. "EPIDEMIOLOGIC PROFILE OF MEN HOSPITALIZED WITH BREAST CANCER IN BRAZIL." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1033.

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Introduction: Breast cancer is the most common type of cancer among women worldwide and in Brazil, just after nonmelanoma skin cancer. Breast cancer can also occur in men, although being rare, representing 1% of the total number of notifications of the disease. Due the rarity of this pathology, little is known about the etiology of male breast cancer, but some risk factors such as advanced age, hormonal imbalance, and family history have been pointed out. Objectives: This study’s objective was to understand the epidemiologic profile of the men hospitalized due breast cancer in Brazil in the previous five years. Methods: This is a descriptive study of secondary data, which were gathered using the IT Department of the Brazilian Unified Health System, and it corresponds to the cases registered from January 2016 to December 2020. The data of interest were those related to the total number of admissions, age range, ethnicity, mortality rate, average amount spent in each hospitalization. Results: There were 3,501 (100%) admissions in Brazil due to male breast cancer. In the Southeast, there were 1,439 (41.1%) hospital admissions, being this the part of the country with the majority of hospitalized men. Followed by this region are the Northeast (26.7%), the South (18.1%), the Midwest (8.3%) and the North (5.7%). The year showing most notifications was 2019, with 832 hospital admissions (23.7%). The other years under review do not show significant changes in the number of admissions. The predominant age group was between 60 to 69 years (26.5%), followed by 50–59 (21.5%), 70–79 (19.9%) and 40–49 years (13.4%). Regarding ethnicity, white and brown men had similar notifications, 1,326 (37.8%) and 1,248 (35.6%) respectively. The remaining percentage is for not registered (20.1%), blacks (5.0%), yellow (1.4%) and indigenous (0.02%). The mean length of hospital stay for men with breast cancer was 4.3 days, ranging from 3.0 to 5.5 across the regions. The mortality rate was 9.40% in Brazil. Regarding the regions, the Northeast showed the highest mortality rate, 14.50%. The average amount spent on each hospitalization was R$ 1,917.70 (USD 354,74, approximately). Conclusions: In Brazil, the mortality rate of men due to breast cancer is higher than the mortality rate of women with breast cancer, which is 8.44%. Therefore, the prognosis for male and female breast cancer is similar, but the overall survival rates are lower for males due to older age and advanced stage at diagnosis. Patients and health providers should pay attention to the existence of breast cancer in men and its known risks factors. Also, at last, many patients receiving hormonal therapy as a treatment for other diseases (eg., prostate cancer) should be aware of its side effect of the development of breast cancer in men.
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Ramin, CA, BJ May, RBS Roden, M. McCullough, DK Armstrong, and K. Visvanathan. "Abstract P6-08-12: Understanding the etiology of osteopenia and osteoporosis in young breast cancer survivors compared to cancer-free women." In Abstracts: 2017 San Antonio Breast Cancer Symposium; December 5-9, 2017; San Antonio, Texas. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.sabcs17-p6-08-12.

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Love, S., D. Mills, E. Eraklis, and M. Hurlbert. "The Love/Avon Army of Women – Accelerating Research into the Etiology and Prevention of Breast Cancer." In Abstracts: Thirty-Second Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 10‐13, 2009; San Antonio, TX. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-09-3075.

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Heng, Yu Jing Jan, Jun Wang, Aditi Hazra, David J. Hunter, A. Heather Eliassen, Rulla M. Tamimi, Susan E. Hankinson, and Andrew H. Beck. "Abstract 805: The molecular mechanisms of obesity driving breast cancer etiology and prognosis in post-menopausal women." In Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-805.

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Carmo, Karla Ferreira do, Nayara Alves de Freitas Lemos, Ruffo Freitas-Junior, Suzana Fonseca Coelho e. Faria, Osvaldo de Alcântara Braga Aidar, Débora Sara de Almeida Cardoso, Mosiah Araújo, and Juliana Botti. "PHYSIOTHERAPEUTIC APPROACH TO SCIENTIFIC CHANGES INVOLVED IN AXILLARY WEB SYNDROME: A CASE REPORT." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2083.

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Objective: The aim of this study was to discuss the physiotherapeutic approach to around the scar tissue release in a patient with axillary web syndrome (AWS). Methods: A case report was conducted at the Mastology Program Outpatient Clinic of the Hospital das Clínicas/CORA (Advanced Center in Breast Diagnosis) at the Federal University of Goias. The study was approved by the Ethics and Research Committee of CEP-HC/UFG (opinion Nº 4,217,374), and the participant signed an informed consent form. Case description: A 71-year-old patient was included in the 5th postoperative (PO) period with modified radical mastectomy and left axillary lymphadenectomy for the treatment of breast cancer. She was referred to the physiotherapy service due to edema, pain, and associated to around the scar retraction. The restriction of movement of the homolateral limb was diagnosed with AWS. The approach included manual therapy through tissue mobilization, combined with lymphatic drainage and the use of functional bandages in the surgical plastron and cord region. Result: After three sessions, there was an improvement in edema and to around the scar retraction, gain in amplitude, and reduction in pain, regardless of the presence of a single fibrous cord. Conclusion: Tissue release through techniques aimed at myofascial mobilization, associated with complementary therapies, improved the malleability of the tissue, organized the deposition of collagen fibers, and lubricated the connective tissue, preventing and treating fibrosis, the factors involved in the etiology of SARS. This physiotherapeutic approach in the immediate PO proved to be beneficial in limiting dysfunction and optimizing recovery. More research is needed to understand the clinical aspect and possibilities of interventions related to AWS.
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Reports on the topic "Breast – Cancer – Etiology"

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Sonenshein, Gail E. Role of Nf-kB/Rel in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada394001.

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Sonenshein, Gail N. Role of Nf-kB/Rel in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, February 1999. http://dx.doi.org/10.21236/ada369303.

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Marshall, Dana R., Olufemi J. Adegoke, and Wei Zheng. Gene-Gene and Gene-Environment Interactions in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada472397.

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Gould, Michael N. The Role of Amplified Wild-Type Neu in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408726.

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Gould, Michael N. The Role of Amplified Wild-Type Neu in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2004. http://dx.doi.org/10.21236/ada429151.

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Wordeman, Linda G. MCAK and Stathmin Upregulationin Breast Cancer Cells: Etiology and Response to Pharmacologic Reagents. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada418727.

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Gould, Michael N. The Role of Amplified Wild-Type Neu in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada420332.

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Longnecker, Richard M. Epstein-Barr Virus: A Role for a Tumorigenic Virus in the Etiology of Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada400450.

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Biscardi, Jacqueline. Functional Interactions Between c-Src and HER1 Potentiate Neoplastic Transformation: Implications for the Etiology of Human Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada376410.

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Pentecost, Brian T. Antibody Probes to Estrogen Receptor-alpha Transcript-Specific Upstream Peptides: Alternates ER-alpha Promoter Use and Breast Cancer Etiology/Outcome. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada438213.

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