a review on breast cancer in a young women and oppurnities in treatment
Abstract
Breast cancer is the most commonly diagnosed cancer and the leading cause of death among female patients, which seriously threatens the health of women in the whole world. The treatments of breast cancer require the cooperation of a multidisciplinary setting and taking tumour load and molecular makers into account. The incidence of breast cancer is constantly increasing in all regions of the world. For this reason, despite the progress in its detection and treatment, which translates into improved mortality rates, it seems necessary to look for new therapeutic methods, and predictive and prognostic factors. Triple negative breast cancer is responsible for more than 15–20% of all breast cancers. Future therapeutic concepts for breast cancer aim to individualize therapy and de-escalate and escalate treatment based on cancer biology and early response to therapy. The article presents a review of the literature on breast carcinoma—a disease affecting women in the world.
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References
2. Christopher M, Peck H. Building the resilient supply chain. Int J Logist Manag. 2004;15(2):1-14.
3. Chopra S, Sodhi MS. Managing risk to avoid supply-chain breakdown. MIT Sloan Manag Rev. 2004;46(1):53-61.
4. Sheffi Y, Rice JB Jr. A supply chain view of the resilient enterprise. MIT Sloan Manag Rev. 2005;47(1):41-8.
5. Tang CS. Robust strategies for mitigating supply chain disruptions. Int J Logist. 2006;9(1):33-45.
6. Pettit TJ, Fiksel J, Croxton KL. Ensuring supply chain resilience: development of a conceptual framework. J Bus Logist. 2010;31(1):1-21.
7. Scholten K, Schilder S. The role of collaboration in supply chain resilience. Supply Chain Manag Int J. 2015;20(4):471-84.
8. Ivanov D. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transp Res Part E Logist Transp Rev. 2020;136:101922.
9. Craighead CW, Blackhurst J, Rungtusanatham MJ, Handfield RB. The severity of supply chain disruptions: design characteristics and mitigation capabilities. Decis Sci. 2007;38(1):131-56.
10. Blackhurst J, Dunn KS, Craighead CW. An empirically derived framework of global supply resiliency. J Bus Logist. 2011;32(4):374-91.
11. Tang O, Musa SN. Identifying risk issues and research advancements in supply chain risk management. Int J Prod Econ. 2011;133(1):25-34.
12. Wagner SM, Bode C. An empirical investigation into supply chain vulnerability. J Purch Supply Manag. 2006;12(6):301-12.
13. Kilpatrick J, Barter L. COVID-19: Managing supply chain risk and disruption. Deloitte Insights. 2020. Available from: https://www2.deloitte.com/global/en/pages/risk/articles/covid-19-managing-supply-chain-risk-and-disruption.html.
14. Ivanov D. Supply Chain Viability and the COVID-19 pandemic: A conceptual and formal generalisation of four major adaptation strategies. Int J Prod Res. 2020;58(10):2904-15.
15. Lee HL. The triple-A supply chain. Harv Bus Rev. 2004;82(10):102-12.
16. Manuj I, Mentzer JT. Global supply chain risk management strategies. Int J Phys Distrib Logist Manag. 2008;38(3):192-223.
17. Sharma A, Adhikary A, Borah SB. Covid-19's impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data. J Bus Res. 2020;117:443-9.
18. Sodhi MS, Son B-G, Tang CS. Researchers' perspectives on supply chain risk management. Prod Oper Manag. 2012;21(1):1-13.
19. Simchi-Levi D, Schmidt W, Wei Y. From superstorms to factory fires: Managing unpredictable supply-chain disruptions. Harv Bus Rev. 2014;92(1/2):96-101.
20. Kim YH, Tang CS. Socially responsible and sustainable supply chains: a framework for analysis. Oper Res Perspect. 2015;2:54-64.
21. Handfield RB, Graham G, Burns L. Corona virus, tariffs, trade wars and supply chain evolutionary design. Int J Oper Prod Manag. 2020;40(10):1649-60.
22. Araz OM, Choi TM, Olson DL, Salman FS. Data analytics for operational risk management. Decis Sci. 2020;51(6):1316-42.
23. Sarkis J. Supply chain sustainability: learning from the COVID-19 pandemic. Int J Oper Prod Manag. 2020;41(1):63-73.
24. Manda, P., Popescu, C., Juluri, A. et al. Micronized Zaleplon Delivery via Orodispersible Film and Orodispersible Tablets. AAPS PharmSciTech 19, 1358–1366 (2018).
25. Lakshmi Narasimha Rao, K., Praneeth Rao, K. Development and Validation of a Stability-Indicating LC Method for Determination of Bexarotene in Softgel Dosage Formulation. Chromatographia 80, 1211–1224 (2017).
26. Kakulamarri PR, Alikatte KL, Mateti UV (2016) Transdermal Iontophoresis of Non-Polar Drugs: A Mini Review. J Pharm Drug Deliv Res 5:3
27. Kakullamarri PR, Rao KLN (2017) Enhanced Bioavailability and Anticancer Activity of Vitamin Analogs. J Bioequiv Availab 9: 439-441.
28. Bode C, Macdonald JR. Stages of supply chain disruption response: direct, constraining, and restoring response capabilities. Int J Phys Distrib Logist Manag. 2017;47(2/3):281-99.
29. Paul SK, Chowdhury P. A production recovery plan in manufacturing supply chains for a high-demand item during COVID-19. Int J Phys Distrib Logist Manag. 2020;51(2):104-25.
30. Schotter AP, Mudambi R, Doz YL, Gaur A. Boundary spanning in global organizations. J Manage Stud. 2017;54(4):403-21.

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