Effects of risk factors in the likelihood of breast cancer subtypes in Brazilian women

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Sinara Monica Vitalino de Almeida
Felipe de Melo Souza
Solange Maria da Silva
Kleber Morais de Sousa

Abstract

Introduction: Breast cancer is a heterogenous disease with multiple causes and it lacks more investigation related to its risk factors. Objective: To evaluate the likelihood of breast cancer subtypes according to the positivity to estrogen and progesterone receptors (ER+ and PR+ respectively), with or without the expression HER2, related to the following risk factors: age, parity, diabetes mellitus, arterial hypertension, occurrence of familiar cancer case and body mass index (BMI). Methods: The sample with 79 individuals was divided into three subtypes 1 (ER+/PR-), 2 (ER+/PR+) and 3 (RE+/RP+/HER+) and then analyzed by quantitative methods using Ordinal Generalized Linear Models (OGLM) for estimating the marginal effects of risk factors for the studied subtypes, and modeling the heteroscedasticity in terms of error. Results: It were observed the following statistically significant positive effects: (1) age for the tumoral subtype 1 (ER+/PR-) and (2) parity for the subtype 2 (ER+/PR+); while the significant negative effects were: (1) age for subtype 3 (ER+/PR+/HER2+); (2) parity for both 1 (ER+/PR-) and 3 (ER+/PR+/HER2+) subtypes; and arterial hypertension for subtype 1 (ER+/PR-). There were no statistically significant effects for BMI, Diabetes mellitus and occurrence of familiar cancer variables on the studied tumoral subtypes. Conclusion: The risk factos age and parity demonstrated varied effects for the breast cancer subtypes according the expression of estrogen, progesterone and HER2 receptors.

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How to Cite
Almeida, S. M. V. de, Souza, F. de M., Silva, S. M. da, & Sousa, K. M. de. (2021). Effects of risk factors in the likelihood of breast cancer subtypes in Brazilian women. ABCS Health Sciences, 46, e021225. https://doi.org/10.7322/abcshs.2020057.1505
Section
Original Articles
Author Biography

Sinara Monica Vitalino de Almeida, Universidade de Pernambuco, campus Garanhuns

Professora Adjunta e pesquisadora da Universidade de Pernambuco (UPE), campus Garanhuns, doutora em Biologia Aplicada à Saúde, mestre em Bioquímica e Fisiologia pela Universidade Federal de Pernambuco (UFPE) e graduada em Biomedicina pela ASCES-UNITA. Atua como professora permanente na Pós-Graduação em Biologia Celular e Molecular Aplicada da UPE e como colaboradora na Pós-Graduação de Biologia Aplicada à Saúde-UFPE, com pesquisas desenvolvidas no Laboratório de Biologia Molecular da UPE-Garanhuns e Laboratório de Imunopatologia Keizo Asami (LIKA)-UFPE. Líder do grupo de pesquisa Oncologia Celular cujos esforços concentram-se na investigação dos processos bioquímicos e celulares em humanos e parasitas com dois objetivos distintos, mas relacionados: elucidar as bases moleculares fundamentais desses processos e estabelecer seus potenciais para intervenção farmacológica. O isolamento de enzimas e desenvolvimento de ensaios enzimáticos de inibição envolvem a colaboração com químicos medicinais para desenho e síntese de inibidores orgânicos e avaliação desses derivados nos níveis moleculares e celulares. Os trabalhos desenvolvidos incluem enzimas como topoisomerases, tirosinase e ciclooxigenase. Além disso, os novos compostos são avaliados em testes de ligação ao DNA e proteínas modelos para estudos farmacocinéticos, como por exemplo, albumina. Orienta alunos de Iniciação Científica, Mestrado e Doutorado com projetos em desenvolvimento sobre novos derivados acridínicos e indólicos e estudos imunohistoquímicos do estroma tumoral do câncer de mama. Possui colaboração com grupos da UFPE, UEPB, UNICAMP e da Universidade de Saint Andrews (Escócia).

References

Global Burden of Disease Cancer Collaboration. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systematic analysis for the global burden of disease study. JAMA Oncol. 2019;5(12):1749-68. http://doi.org/10.1001/jamaoncol.2019.2996

Azamjah N, Soltan-Zadeh Y, Zayeri F. Global Trend of Breast Cancer Mortality Rate: A 25-Year Study. Asian Pac J Cancer Prev. 2019;20(7):2015-20. http://doi.org/10.31557/APJCP.2019.20.7.2015

Brasil. Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2020: incidência de câncer no Brasil. Rio de Janeiro: INCA, 2019.

Brinton LA, Gaudet MM, Gierach GL. Breast cancer. In: Thun MJ, Linet MS, Cerhan JR, Haiman CA, Schottenfeld D. Cancer Epidemiology and Prevention. 4th ed. New York: Oxford University Press, 2018.

Couch FJ, Nathanson KL, Offit K. Two decades after BRCA: setting paradigms in personalized cancer care and prevention. Science. 2014;343(6178):1466-70. http://doi.org/10.1126/science.1251827

Danaei G, Hoorn SV, Lopez AD, Murray CJL, Ezzati M. Causes of cancer in the world: comparative risk assessment of nine behavioural and environmental risk factors. Lancet. 2005;366(9499):1784-93. http://doi.org/10.1016/S0140-6736(05)67725-2

Britt K, Ashworth A, Smalley M. Pregnancy and the risk of breast cancer. Endocr Relat Cancer. 2007;14(4):907-33. http://doi.org/10.1677/ERC-07-0137

Li CI, Malone KE, Daling JR. Differences in breast cancer hormone receptor status and histology by race and ethnicity among women 50 years of age and older. Cancer Epidemiol Biomark Prev. 2002;11(7):601-7.

Collaborative Group on Hormonal Factors in Breast Cancer. Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58.209 women with breast cancer and 101.986 women without the disease. Lancet. 2001;358(9291):1389-99. http://doi.org/10.1016/S0140-6736(01)06524-2

Harbeck N, Penault-Llorca F, Cortes J, Gnant M, Houssami N, Poortmans P, et al. Breast cancer. Nat Rev Dis Primers, 2019;5(66). https://doi.org/10.1038/s41572-019-0111-2

International Agency for Research on Cancer; Lakhani SR. WHO Classification of Tumours of the Breast. Fourth Edition. World Health Organization, 2012.

Perou CM, Therese Sørlie T, Eisen MB, Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747-52. https://doi.org/10.1038/35021093

Parise CA, Bauer KR, Brown MM, Caggiano V. Breast cancer subtypes as defined by the estrogen receptor (ER), progesterone receptor (PR), and the human epidermal growth factor receptor 2 (HER2) among women with invasive breast cancer in California, 1999–2004. Breast J. 2009;15(6):593-602. https://doi.org/110.1111/j.1524-4741.2009.00822.x

Burstein MD, Tsimelzon A, Graham M Poage GM, Covington KR, Contreras A, Fuqua SAW, et al. Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer. Clin Cancer Res. 2015;21(7):1688-98. https://doi.org/110.1158/1078-0432.CCR-14-0432

Lobo-Cardoso R, Magalhães AT, Fougo JL. Neoadjuvant endocrine therapy in breast cancer patients. Porto Biomedical J. 2017;2(5):170-3. https://doi.org/10.1016/j.pbj.2017.03.007

Yang XR, Chang-Claude J, Goode EL, Couch FJ, Nevanlinna H, Milne RL, et al., Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies. J Natl Cancer Inst. 2011;103(3):250-63. https://doi.org/10.1093/jnci/djq526

Colditz GA, Sellers TA, Trapido E. Epidemiology - identifying the causes and preventability of cancer? Nat Rev Cancer. 2006;6(1):75-83. https://doi.org/10.1038/nrc1784

Barone I, Giordanoa C, Bonofiglio D, Andòa S, Catalano S. The weight of obesity in breast cancer progression and metastasis: Clinical and molecular perspectives. Semin Cancer Biol. 2020;60:274-84. https://doi.org/10.1016/j.semcancer.2019.09.001

Abudawood M. Diabetes and cancer: A comprehensive review. J Res Med Sci. 2019;24:94. https://doi.org/10.4103/jrms.JRMS_242_19

Seretis A, Cividini S, Markozannes G, Tseretopoulou X, Lopez DS, Ntzani EE, et al. Association between blood pressure and risk of cancer development: a systematic review and meta-analysis of observational studies. Sci Rep. 2019;9(1):8565. https://doi.org/10.1038/s41598-019-45014-4

Bonita R, Beaglehole R, Kjellströmb T. Epidemiologia básica. 2 ed. Santos: 2010.

Parise CA, Bauer KR, Caggiano V. Variation in breast cancer subtypes with age and race/ethnicity. Crit Rev Oncol Hematol. 2010;76(1):44-52. https://doi.org/10.1016/j.critrevonc.2009.09.002

Wong FY, Tham WY, Nei WL, Lim C, Miao H. Age exerts a continuous effect in the outcomes of Asian breast cancer patients treated with breast-conserving therapy. Cancer Commun. 2018;38(1):39. https://doi.org/10.1186/s40880-018-0310-3

Ma H, Bernstein L, Pike MC, Ursin G. Reproductive factors and breast cancer risk according to joint estrogen and progesterone receptor status: a meta-analysis of epidemiological studies. Breast Cancer Res. 2006;8(4):R43. https://doi.org/10.1186/bcr1525

Attner B, Landin-Olsson M, Lithman T, Noreen D, Olsson H. Cancer among patients with diabetes, obesity and abnormal blood lipids: a population-based register study in Sweden. Cancer Causes Control. 2012;23(5):769-77. https://doi.org/10.1007/s10552-012-9946-5

Bosco JLF, Palmer JR, Boggs DA, Hatch EE, Rosenberg L. Cardiometabolic factors and breast cancer risk in U.S. black women. Breast Cancer Res Treat. 2012;134:1247-56. https://doi.org/10.1007/s10549-012-2131-4

Suzuki Y, Tsunoda H, Kimura T, Yamauchi H. BMI change and abdominal circumference are risk factors for breast cancer, even in Asian women. Breast Cancer research and treatment. 2017;166(3):919-25. https://doi.org/10.1007/s10549-017-4481-4

Allison PD. Comparing logit and probit coefficients across groups. Sociol Methods Res. 1999;28(2):186-208. https://doi.org/10.1177/0049124199028002003

Williams R. Fitting heterogeneous choice models with oglm. Stata J. 2010;10(4):540-67. https://doi.org/10.1177/1536867X1101000402

Oliveira MMD, Malta DC, Guauche H, Moura LD, Silva GA. Estimativa de pessoas com diagnóstico de câncer no Brasil: dados da Pesquisa Nacional de Saúde, 2013. Rev Bras Epidemiol. 2015;8(Suppl 2):146-57. https://doi.org/10.1590/1980-5497201500060013

Anderson WF, Rosenberg PS, Prat A, Perou CM, Sherman ME. How many etiological subtypes of breast cancer: two, three, four, or more?. J Natl Cancer Inst. 2014;106(8):165. https://doi.org/10.1093/jnci/dju165

Pirone JR, D'arcy M, Stewart DA, Hines WC, Johnson M, Gould MN, et al. Age-associated gene expression in normal breast tissue mirrors qualitative age-at-incidence patterns for breast cancer. Cancer Epidemiol Biomarkers Prev. 2012;21(10):1735-44. https://doi.org/10.1158/1055-9965.EPI-12-0451

Howlader N, Altekruse SF, Li CI, Chen VW, Clarke CA, Ries LA, et al. US incidence of breast cancer subtypes defined by joint hormone receptor and HER2 status. J Natl Cancer Inst. 2014;106(5);459-552. https://doi.org/10.1093/jnci/dju055

Huo D, Adebamowo CA, Ogundiran TO, Akang EE, Campbell O, Adenipekun A, et al. Parity and breastfeeding are protective against breast cancer in Nigerian women. Br J Cancer. 2008;98(5):992-6. https://doi.org/10.1038/sj.bjc.6604275

Colditz GA, Rosner B. Cumulative risk of breast cancer to age 70 years according to risk factor status: data from the Nurses' Health Study. Am J Epidemiol. 2000;152(10):950-64. https://doi.org/10.1093/aje/152.10.950

Instituto Brasileiro de Geografia e Estatística (IBGE). Síntese de indicadores sociais: uma análise das condições de vida da população brasileira. Rio de Janeiro: IBGE, 2015.

Tamimi RM, Colditz GA, Hazra A, Baer HJ, Hankinson SE, Rosner B, et al. Traditional breast cancer risk factors in relation to molecular subtypes of breast cancer. Breast Cancer Res Treat. 2012;131(1):159-67. https://doi.org/10.1007/s10549-011-1702-0

Fortner RT, Sisti J, Chai B, Collins LC, Rosner B, Hankinson SE, et al. Parity, breastfeeding, and breast cancer risk by hormone receptor status and molecular phenotype: results from the Nurses’ Health Studies. Breast Cancer Res. 2019;21(40). https://doi.org/10.1186/s13058-019-1119-y

Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa Nacional de Saúde 2013: Percepção do estado de saúde, estilos de vida e doenças crônicas. Rio de Janeiro: IBGE, 2014.

Peeters PH, van Noord PA, Hoes AW, Fracheboud J, Gimbrère CH, Grobbee DE. Hypertension and breast cancer risk in a 19-year follow-up study (the DOM cohort). Diagnostic Investigation Into Mammarian Cancer. J Hypertens. 2000;18(3):249-54. https://doi.org/10.1097/00004872-200018030-00002