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Articles

Triple negative breast cancer in Bulgaria: epidemiological data and treatment patterns based on real world evidence and patient registries

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Pages 551-559 | Received 18 Jan 2021, Accepted 10 Mar 2021, Published online: 01 Apr 2021

References

  • Breast Cancer: prevention and control. WHO. Available at: www.who.int/cancer/detection/breastcancer/en/index1.html. Accessed April 2014.
  • American Cancer Society: Survival rates for breast cancer. Available at: https://www.cancer.org/cancer/breast-cancer/understanding-a-breast-cancer-diagnosis/breast-cancer-survival-rates.html. Accessed February 2020.
  • Peshkin BN, Alabek ML, Isaacs C. BRCA1/2 mutations and triple negative breast cancers. Breast Dis. 2010;32(1–2):25–33.
  • Deepak KGK, Vempati R, Nagaraju GP, et al. Tumor microenvironment: challenges and opportunities in targeting metastasis of triple negative breast cancer. Pharmacol Res. 2020;153:104683.
  • Houts AC, Olufade T, Shenolikar R, et al . Treatment patterns, clinical outcomes, health resource utilization, and cost in patients with BRCA-mutated metastatic breast cancer treated in community oncology settings. Cancer Treat Res Commun. 2019;19:100121.
  • Harris ER, De Los Santos J, Borges VF, et al. Innovations in personalized and targeted therapies for breast cancer. Int J Breast Cancer. 2018;2018:5409846.
  • Faulkner E, Annemans L, Garrison L, et al . Challenges in the development and reimbursement of personalized medicine-payer and manufacturer perspectives and implications for health economics and outcomes research: a report of the ISPOR personalized medicine special interest group. Value Health. 2012;15(8):1162–1171.
  • Behjati S, Tarpey PS. What is next generation sequencing?Arch Dis Child Educ Pract Ed. 2013;98(6):236–238.
  • Nikolov S, Enchev E, Minkov G, et al. The role of molecular subtypes in the prognosis of breast cancer patients. Open Access Maced J Med Sci. 2020;8(B):133–138.
  • Zhao B. Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing. JCO Clin Cancer Inform. 2019 Sep;3:1-9. doi:10.1200/CCI.19.00057. PMID:31577448; PMCID: PMC6874014
  • Onukwugha E . Big data and its role in health economics and outcomes research: a collection of perspectives on data sources, measurement, and analysis. Pharmacoeconomics. 2016;34(2):91–93.
  • Bouchardy C, Rapiti E, Benhamou S. Cancer registries can provide evidence-based data to improve quality of care and prevent cancer deaths. Ecancermedicalscience 2014;8:413.
  • Bulgarian National Cancer Registry: Cancer Incidence in Bulgaria 2014 & 2015. Available at: https://www.sbaloncology.bg/assets/files/rakov_registar/rakov_registyr_2017.pdf. Accessed February 2020.
  • Dodova RI, Mitkova AV, Dacheva DR, et al. Spectrum and frequencies of BRCA1/2 mutations in Bulgarian high risk breast cancer patients. BMC Cancer. 2015;15:523.
  • Senthilkumar SA, Bharatendra KR, Gunasekaran A. Big data in healthcare management: a review of literature. AJTAB. 2018;4(2):57.
  • Pastorino R, De Vito C, Migliara G, et al. Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. Eur J Public Health. 2019;29(Suppl_3):23–27.
  • Sidey-Gibbons JAM, Sidey-Gibbons C. Machine learning in medicine: a practical introduction. BMC Med Res Methodol. 2019;19(1):64. doi:10.1186/s12874-019-0681-4
  • Patel R, Tanwani S. Application of machine learning techniques in clinical information extraction: toward smarter algorithms. Stud Fuzziness Soft Comput. 2019. In book: Smart Techniques for a Smarter Planet (pp.145–165). doi:10.1007/978-3-030-03131-2_8.
  • Ibnounhsein I, Jankowski S, et al. The Big Data revolution for breast cancer patients. Eur J Breast Health. 2018;14(2):61–62.
  • Dheeba J, Singh NA, Selvi ST. Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach. J Biomed Inform. 2014;49:45–52.
  • Daugherty SE, Lee SB, Nowell B, et al. The increasing focus on the patient in patient registries. 21st Century Patient Registries: Registries for Evaluating Patient Outcomes: A User’s Guide: 3rd Edition, Addendum [Internet]. Available at: https://www.ncbi.nlm.nih.gov/books/NBK493820/. Accessed June 2020.
  • Cardoso F, Senkus E, Costa A, et al . 4th ESO-ESMO International Consensus Guidelines for Advanced Breast Cancer (ABC 4). Ann Oncol. 2018;29(8):1634–1657.
  • NCCN Guidelines Version 4. 2020. Breast cancer. Available at: https://www.nccn.org/professionals/physician_gls/pdf/breast.pdf. Accessed June 2020.
  • Boyle P. Triple-negative breast cancer: epidemiological considerations and recommendations. Ann Oncol. 2012;23(Suppl 6):VI7–VI12.
  • Yeh J, Chun J, Schwartz S, et al. Clinical characteristics in patients with triple negative breast cancer. Int J Breast Cancer. 2017;2017:1–5.
  • Dimitrova M, Lakic D, Petrova G, et al. Comparative analysis of the access to health care services and breast cancer therapy in 10 Eastern European countries. SAGE Open Med. 2020;8:2050312120922029.