Incidence and Clinicopathological Features of Breast Cancer in the Northern Emirates: Experience from Sharjah Breast Care Center

References

• Jemal A, Center MM, DeSantis C, et al. Global patterns of cancer incidence and mortality rates and trends. Cancer Epidemiol Prev Biomarkers. 2010;19:1893–1907. doi:10.1158/1055-9965.EPI-10-0437
   PubMed Web of Science ®Google Scholar
• Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.
   PubMed Web of Science ®Google Scholar
• Cancer Incidence in United Arab Emirates. Annual report of the UAE. National Cancer Registry; 2014.
   Google Scholar
• Chouchane L, Boussen H, Sastry KSR. Breast cancer in Arab populations: molecular characteristics and disease management implications. Lancet Oncol. 2013;14(10):e417–e424. doi:10.1016/S1470-2045(13)70165-7
   PubMed Web of Science ®Google Scholar
• Khairy GA, Guraya SY, Ahmed ME, et al. Bilateral breast cancer. Incidence, diagnosis and histological patterns. Saudi Med J. 2005;26(4):612.
   Web of Science ®Google Scholar
• Asiri S, Asiri A, Ulahannan S, et al. Incidence rates of breast cancer by age and tumor characteristics among Saudi women: recent trends. Cureus. 2020;12(1).
   Web of Science ®Google Scholar
• Gail MH, Brinton LA, Byar DP, et al. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81(24):1879–1886. doi:10.1093/jnci/81.24.1879
   PubMed Web of Science ®Google Scholar
• Eliassen AH, Colditz GA, Rosner B, et al. Adult weight change and risk of postmenopausal breast cancer. JAMA. 2006;296(2):193–201. doi:10.1001/jama.296.2.193
   PubMed Web of Science ®Google Scholar
• McCormack VA, Dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Prev Biomarkers. 2006;15(6):1159–1169. doi:10.1158/1055-9965.EPI-06-0034
   PubMed Web of Science ®Google Scholar
• Garland CF, Gorham ED, Mohr SB, et al. Vitamin D and prevention of breast cancer: pooled analysis. J Steroid Biochem Mol Biol. 2007;103(3–5):708–711.
   PubMed Web of Science ®Google Scholar
• Yao S, Kwan ML, Ergas IJ, et al. Association of serum level of vitamin D at diagnosis with breast cancer survival: a case-cohort analysis in the pathways study. JAMA oncol. 2017;3(3):351–357. doi:10.1001/jamaoncol.2016.4188
   PubMed Web of Science ®Google Scholar
• Faul F, Erdfelder E, Buchner A, et al. Statistical power analyses using G* Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149–1160. doi:10.3758/BRM.41.4.1149
   PubMed Web of Science ®Google Scholar
• Amin MB, Greene FL, Edge SB, et al. The eighth edition AJCC cancer staging manual: continuing to build a bridge from a population‐based to a more “personalized” approach to cancer staging. CA Cancer J Clin. 2017;67(2):93–99.
   PubMed Web of Science ®Google Scholar
• Ersfeld DL, Rao DS, Body JJ, et al. Analytical and clinical validation of the 25 OH vitamin D assay for the LIAISON® automated analyzer. Clin Biochem. 2004;37(10):867–874. doi:10.1016/j.clinbiochem.2004.06.006
   PubMed Web of Science ®Google Scholar
• Sharif-Askari FS, Sharif-Askari NS, Halwani R, et al. Low vitamin D serum level is associated with HDL-C dyslipidemia and increased serum thrombomodulin levels of insulin-resistant individuals. Diabetes Metab Syndr Obes. 2020;13:1599. doi:10.2147/DMSO.S245742
   Web of Science ®Google Scholar
• Slwdm P. Cancer Incidence in Five Continents. Vol. VIII. IARC Scientific Publications; 2002.
   Google Scholar
• Steyerberg EW, Eijkemans MJ, Harrell FE, et al. Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets. Stat Med. 2000;19(8):1059–1079. doi:10.1002/(SICI)1097-0258(20000430)19:8<1059::AID-SIM412>3.0.CO;2-0
   PubMed Web of Science ®Google Scholar
• Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–1379. doi:10.1016/S0895-4356(96)00236-3
   PubMed Web of Science ®Google Scholar
• Lemeshow S, Hosmer DW. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982;115(1):92–106. doi:10.1093/oxfordjournals.aje.a113284
   PubMed Web of Science ®Google Scholar
• Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for some traditional and novel measures. Epidemiology. 2010;21(1):128. doi:10.1097/EDE.0b013e3181c30fb2
   PubMed Web of Science ®Google Scholar
• Pencina MJ, D’Agostino RB, D’Agostino RB, et al. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med. 2008;27(2):157–172. doi:10.1002/sim.2929
   PubMed Web of Science ®Google Scholar
• Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. Springer Science & Business Media; 2008.
   Google Scholar
• Efron B, Tibshirani RJ. An Introduction to the Bootstrap. CRC press; 1994.
   Google Scholar
• Steyerberg EW, Harrell FE, Borsboom GJ, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54(8):774–781. doi:10.1016/S0895-4356(01)00341-9
   PubMed Web of Science ®Google Scholar
• Alghamdi IG, Hussain II, Alghamdi MS, et al. The incidence rate of female breast cancer in Saudi Arabia: an observational descriptive epidemiological analysis of data from Saudi cancer registry 2001–2008. Breast Cancer. 2013;5:103.
   Google Scholar
• Mehdi I, Monem EA, Al Bahrani BJ, et al. Age at diagnosis of female breast cancer in Oman: issues and implications. South Asian J Cancer. 2014;3(2):101. doi:10.4103/2278-330X.130442
   Google Scholar
• Narod SA. Breast cancer in young women. Nat Rev Clin Oncol. 2012;9(8):460. doi:10.1038/nrclinonc.2012.102
   Web of Science ®Google Scholar
• Spath L, Ulivieri A, Lavra L, et al. Antiproliferative effects of 1α-OH-vitD 3 in malignant melanoma: potential therapeutic implications. Sci Rep. 2017;7:40370. doi:10.1038/srep40370
   Web of Science ®Google Scholar
• Al-Azhri J, Zhang Y, Bshara W, et al. Tumor expression of vitamin D receptor and breast cancer histopathological characteristics and prognosis. Clin Cancer Res. 2017;23(1):97–103. doi:10.1158/1078-0432.CCR-16-0075
   PubMed Web of Science ®Google Scholar