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Breast Cancer: Epidemiology and Etiology

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Abstract

Breast cancer, the most frequently occurring cancer in women, is a major public health problem, with 1,384,155 estimated new cases worldwide with nearly 459,000 related deaths. Breast cancer is highly heterogeneous in its pathological characteristics, some cases showing slow growth with excellent prognosis, while others being aggressive tumors. Current predictions and statistics suggest that both worldwide incidence of breast cancer and related mortality are on the rise. According to 2012 GLOBOCAN statistics, nearly 1.7 million women were diagnosed with breast cancer with 522,000 related deaths—an increase in breast cancer incidence and related mortality by nearly 18 % from 2008. According to American Cancer Society, one in eight women in the United States will develop breast cancer in her lifetime. It has been predicted that the worldwide incidence of female breast cancer will reach approximately 3.2 million new cases per year by 2050. These numbers reflect the magnitude of breast cancer incidence, its effect on society worldwide and the need for urgency for preventive and treatment measures. While technological advances in medical sciences and health care have made it possible to detect the disease early and to start the treatment early on to prevent the progress of the disease into a metastatic state, there are several unanswered questions with regard to the molecular mechanisms that underlie the aggressiveness of certain forms of this disease. Epidemiological studies suggest that addressing socio economical issues is utmost important, so that all women have equal access to medical care from screening to advanced treatment, and only such decisive action can help reduce the worldwide burden of breast cancer.

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References

  1. Verma, R., Bowen, R. L., Slater, S. E., Mihaimeed, F., & Jones, J. L. (2012). Pathological and epidemiological factors associated with advanced stage at diagnosis of breast cancer. British Medical Bulletin, 103, 129–145.

    Article  CAS  PubMed  Google Scholar 

  2. Druesne-Pecollo, N., Touvier, M., Barrandon, E., Chan, D. S., Norat, T., Zelek, L., et al. (2012). Excess body weight and second primary cancer risk after breast cancer: A systematic review and meta-analysis of prospective studies. Breast Cancer Research and Treatment, 135, 647–654.

    Article  PubMed  Google Scholar 

  3. Youlden, D. R., Baade, P. D., Valery, P. C., Ward, L. J., Green, A. C., & Aitken, J. F. (2012). Childhood cancer mortality in australia. Cancer Epidemiology, 36, 476–480.

    Article  PubMed  Google Scholar 

  4. Desantis, C., Ma, J., Bryan, L., & Jemal, A. (2014). Breast cancer statistics, 2013. CA A Cancer Journal for Clinicians, 64, 52–62.

    Article  PubMed  Google Scholar 

  5. Hortobagyi, G. N., De La Garza Salazar, J., Pritchard, K., Amadori, D., Haidinger, R., Hudis, C. A., et al. (2005). The global breast cancer burden: Variations in epidemiology and survival. Clinical Breast Cancer, 6, 391–401.

    Article  PubMed  Google Scholar 

  6. Anderson, W. F., Chatterjee, N., Ershler, W. B., & Brawley, O. W. (2002). Estrogen receptor breast cancer phenotypes in the surveillance, epidemiology, and end results database. Breast Cancer Research and Treatment, 76, 27–36.

    Article  CAS  PubMed  Google Scholar 

  7. Perou, C. M., Sorlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., et al. (2000). Molecular portraits of human breast tumours. Nature, 406, 747–752.

    Article  CAS  PubMed  Google Scholar 

  8. Sorlie, T., Perou, C. M., Tibshirani, R., Aas, T., Geisler, S., Johnsen, H., et al. (2001). Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proceedings of the National Academy of Sciences of the United States of America, 98, 10869–10874.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  9. Bauer, K. R., Brown, M., Cress, R. D., Parise, C. A., & Caggiano, V. (2007). Descriptive analysis of estrogen receptor (er)-negative, progesterone receptor (pr)-negative, and her2-negative invasive breast cancer, the so-called triple-negative phenotype: A population-based study from the california cancer registry. Cancer, 109, 1721–1728.

    Article  PubMed  Google Scholar 

  10. Iwase, H., Kurebayashi, J., Tsuda, H., Ohta, T., Kurosumi, M., Miyamoto, K., et al. (2010). Clinicopathological analyses of triple negative breast cancer using surveillance data from the registration committee of the japanese breast cancer society. Breast Cancer, 17, 118–124.

    Article  PubMed  Google Scholar 

  11. Park, S. Y., Lee, H. E., Li, H., Shipitsin, M., Gelman, R., & Polyak, K. (2010). Heterogeneity for stem cell-related markers according to tumor subtype and histologic stage in breast cancer. Clinical Cancer Research, 16, 876–887.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  12. Hudis, C. A. (2007). Trastuzumab—mechanism of action and use in clinical practice. New England Journal of Medicine, 357, 39–51.

    Article  CAS  PubMed  Google Scholar 

  13. Huang, H. J., Neven, P., Drijkoningen, M., Paridaens, R., Wildiers, H., van Limbergen, E., et al. (2005). Association between tumour characteristics and her-2/neu by immunohistochemistry in 1362 women with primary operable breast cancer. Journal of Clinical Pathology, 58, 611–616.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. Cadoo, K. A., Fornier, M. N., & Morris, P. G. (2013). Biological subtypes of breast cancer: Current concepts and implications for recurrence patterns. Quarterly Journal of Nuclear Medicine and Molecular Imaging, 57, 312–321.

    CAS  PubMed  Google Scholar 

  15. Morris, G. J., Naidu, S., Topham, A. K., Guiles, F., Xu, Y., McCue, P., et al. (2007). Differences in breast carcinoma characteristics in newly diagnosed african-american and caucasian patients: A single-institution compilation compared with the national cancer institute’s surveillance, epidemiology, and end results database. Cancer, 110, 876–884.

    Article  PubMed  Google Scholar 

  16. Dent, R., Trudeau, M., Pritchard, K. I., Hanna, W. M., Kahn, H. K., Sawka, C. A., et al. (2007). Triple-negative breast cancer: Clinical features and patterns of recurrence. Clinical Cancer Research, 13, 4429–4434.

    Article  PubMed  Google Scholar 

  17. Morris, P. G., Murphy, C. G., Mallam, D., Accordino, M., Patil, S., Howard, J., et al. (2012). Limited overall survival in patients with brain metastases from triple negative breast cancer. Breast Journal, 18, 345–350.

    Article  PubMed  Google Scholar 

  18. Dent, R., Hanna, W. M., Trudeau, M., Rawlinson, E., Sun, P., & Narod, S. A. (2009). Pattern of metastatic spread in triple-negative breast cancer. Breast Cancer Research and Treatment, 115, 423–428.

    Article  PubMed  Google Scholar 

  19. Phipps, A. I., Chlebowski, R. T., Prentice, R., McTiernan, A., Wactawski-Wende, J., Kuller, L. H., et al. (2011). Reproductive history and oral contraceptive use in relation to risk of triple-negative breast cancer. Journal of the National Cancer Institute, 103, 470–477.

    Article  PubMed Central  PubMed  Google Scholar 

  20. Turpin, E., Bieche, I., Bertheau, P., Plassa, L. F., Lerebours, F., de Roquancourt, A., et al. (2002). Increased incidence of erbb2 overexpression and tp53 mutation in inflammatory breast cancer. Oncogene, 21, 7593–7597.

    Article  CAS  PubMed  Google Scholar 

  21. Shirakawa, K., Kobayashi, H., Heike, Y., Kawamoto, S., Brechbiel, M. W., Kasumi, F., et al. (2002). Hemodynamics in vasculogenic mimicry and angiogenesis of inflammatory breast cancer xenograft. Cancer Research, 62, 560–566.

    CAS  PubMed  Google Scholar 

  22. Barrow, T. M., & Michels, K. B. (2014). Epigenetic epidemiology of cancer. Biochemical and Biophysical Research Communications, 455, 70–83.

    Article  CAS  PubMed  Google Scholar 

  23. Huang, G. L., Zhang, X. H., Guo, G. L., Huang, K. T., Yang, K. Y., Shen, X., et al. (2009). Clinical significance of mir-21 expression in breast cancer: Sybr-green i-based real-time rt-pcr study of invasive ductal carcinoma. Oncology Reports, 21, 673–679.

    CAS  PubMed  Google Scholar 

  24. Yan, L. X., Huang, X. F., Shao, Q., Huang, M. Y., Deng, L., Wu, Q. L., et al. (2008). Microrna mir-21 overexpression in human breast cancer is associated with advanced clinical stage, lymph node metastasis and patient poor prognosis. RNA, 14, 2348–2360.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  25. Ambros, V. (2003). Microrna pathways in flies and worms: Growth, death, fat, stress, and timing. Cell, 113, 673–676.

    Article  CAS  PubMed  Google Scholar 

  26. Eichelser, C., Flesch-Janys, D., Chang-Claude, J., Pantel, K., & Schwarzenbach, H. (2013). Deregulated serum concentrations of circulating cell-free micrornas mir-17, mir-34a, mir-155, and mir-373 in human breast cancer development and progression. Clinical Chemistry, 59, 1489–1496.

    Article  CAS  PubMed  Google Scholar 

  27. Heneghan, H. M., Miller, N., Lowery, A. J., Sweeney, K. J., Newell, J., & Kerin, M. J. (2010). Circulating micrornas as novel minimally invasive biomarkers for breast cancer. Annals of Surgery, 251, 499–505.

    Article  PubMed  Google Scholar 

  28. Prabhu, J. S., Wahi, K., Korlimarla, A., Correa, M., Manjunath, S., Raman, N., et al. (2012). The epigenetic silencing of the estrogen receptor (er) by hypermethylation of the esr1 promoter is seen predominantly in triple-negative breast cancers in indian women. Tumour Biology, 33, 315–323.

    Article  CAS  PubMed  Google Scholar 

  29. Wu, L., Wang, F., Xu, R., Zhang, S., Peng, X., Feng, Y., et al. (2013). Promoter methylation of brca1 in the prognosis of breast cancer: A meta-analysis. Breast Cancer Research and Treatment, 142, 619–627.

    Article  CAS  PubMed  Google Scholar 

  30. Easton, D. F., Pooley, K. A., Dunning, A. M., Pharoah, P. D., Thompson, D., Ballinger, D. G., et al. (2007). Genome-wide association study identifies novel breast cancer susceptibility loci. Nature, 447, 1087–1093.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  31. Hughes, S., Agbaje, O., Bowen, R. L., Holliday, D. L., Shaw, J. A., Duffy, S., & Jones, J. L. (2007). Matrix metalloproteinase single-nucleotide polymorphisms and haplotypes predict breast cancer progression. Clinical Cancer Research, 13, 6673–6680.

    Article  CAS  PubMed  Google Scholar 

  32. Gutierrez-Fernandez, A., Fueyo, A., Folgueras, A. R., Garabaya, C., Pennington, C. J., Pilgrim, S., et al. (2008). Matrix metalloproteinase-8 functions as a metastasis suppressor through modulation of tumor cell adhesion and invasion. Cancer Research, 68, 2755–2763.

    Article  CAS  PubMed  Google Scholar 

  33. Decock, J., Long, J. R., Laxton, R. C., Shu, X. O., Hodgkinson, C., Hendrickx, W., et al. (2007). Association of matrix metalloproteinase-8 gene variation with breast cancer prognosis. Cancer Research, 67, 10214–10221.

    Article  CAS  PubMed  Google Scholar 

  34. Gajdos, C., Tartter, P. I., Bleiweiss, I. J., Bodian, C., & Brower, S. T. (2000). Stage 0 to stage iii breast cancer in young women. Journal of the American College of Surgeons, 190, 523–529.

    Article  CAS  PubMed  Google Scholar 

  35. Toriola, A. T., & Colditz, G. A. (2013). Trends in breast cancer incidence and mortality in the united states: Implications for prevention. Breast Cancer Research and Treatment, 138, 665–673.

    Article  PubMed  Google Scholar 

  36. Desantis, C., Siegel, R., Bandi, P., & Jemal, A. (2011). Breast cancer statistics, 2011. CA A Cancer Journal for Clinicians, 61, 409–418.

    Article  PubMed  Google Scholar 

  37. Nelson, H. D., Zakher, B., Cantor, A., Fu, R., Griffin, J., O’Meara, E. S., et al. (2012). Risk factors for breast cancer for women aged 40 to 49 years: A systematic review and meta-analysis. Annals of Internal Medicine, 156, 635–648.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Colditz, G. A. (2007). Decline in breast cancer incidence due to removal of promoter: Combination estrogen plus progestin. Breast Cancer Research, 9, 108.

    Article  PubMed Central  PubMed  Google Scholar 

  39. Smigal, C., Jemal, A., Ward, E., Cokkinides, V., Smith, R., Howe, H. L., & Thun, M. (2006). Trends in breast cancer by race and ethnicity: Update 2006. CA A Cancer Journal for Clinicians, 56, 168–183.

    Article  PubMed  Google Scholar 

  40. Olopade, O. I., Fackenthal, J. D., Dunston, G., Tainsky, M. A., Collins, F., & Whitfield-Broome, C. (2003). Breast cancer genetics in african americans. Cancer, 97, 236–245.

    Article  CAS  PubMed  Google Scholar 

  41. Kogevinas, M., Porta, M. (1997). Socioeconomic differences in cancer survival: A review of the evidence. IARC Scientific Publications, 138, 177–206.

  42. McCormack, V. A., & Boffetta, P. (2011). Today’s lifestyles, tomorrow’s cancers: Trends in lifestyle risk factors for cancer in low- and middle-income countries. Annals of Oncology, 22, 2349–2357.

    Article  CAS  PubMed  Google Scholar 

  43. Fan, L., Strasser-Weippl, K., Li, J. J., St Louis, J., Finkelstein, D. M., Yu, K. D., et al. (2014). Breast cancer in china. Lancet Oncology, 15, e279–e289.

    Article  Google Scholar 

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Correspondence to ZiQi Tao.

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Tao, Z., Shi, A., Lu, C. et al. Breast Cancer: Epidemiology and Etiology. Cell Biochem Biophys 72, 333–338 (2015). https://doi.org/10.1007/s12013-014-0459-6

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