Mathematical model of the relationship between the genotype of patients with breast cancer on BRCA1 and TP53 and histological type of tumor based on multiple regression

Authors

DOI:

https://doi.org/10.31649/1681-7893-2021-41-1-59-68

Keywords:

multiple regression, statistical significance of the equation, early diagnosis, breast cancer, genotype of breast cancer patients

Abstract

The article analyzes the growing incidence of breast cancer, which has become particularly clear in the last two decades, requires special involvement of all specialists and researchers in this area. Identification of patients with hereditary forms of breast cancer allows to form strategies for early diagnosis, prevention and treatment. As a result of the analysis, the multiple regression equation was obtained.The statistical significance of the equation was verified using the coefficient of determination and Fisher's test. Prompt diagnosis should be combined with effective cancer treatment, which in many cases requires specialized cancer care at some level. Thanks to the creation of centralized services in oncology facilities or hospitals, which use as a model everything related to breast cancer, the treatment of breast cancer can be optimized while improving the treatment of other cancers.

References

DeSantis CE, Bray F, Ferlay J, Lortet-Tieulent J, Anderson BO, Jemal A. International Variation in Female Breast Cancer Incidence and Mortality Rates. Cancer Epidemiol Biomarkers Prev. 2015; 24(10): 1495-506. http://www.ncbi.nlm.nih.gov/pubmed/26359465.

https://www.who.int/ru/news-room/fact-sheets/detail/breast-cancer

Stoltenberg M, Spence D, Daubman BR, Greaves N, Edwards R, Bromfield B, et al. The central role of provider training in implementing resource-stratified guidelines for palliative care in low-income and middle-income countries: Lessons from the Jamaica Cancer Care and Research Institute in the Caribbean and Universidad Catolica in Latin America. Cancer. 2020; 126 Suppl 10: 2448-57. http://www.ncbi.nlm.nih.gov/pubmed/32348569

www.wcrf.org/dietandcancer/cancer-trends/breast-cancer-statistics

https://www.roche-kz.com/ru_KZ/Zaboljevanija/Onkologija/Rak-molotchnoye-zhjeljezy.html

Kaidarova D.R., Chynhysova Zh.K., Shatkovskaia O.V., y soavt. Pokazately onkolohycheskoi sluzhby Respublyky Kazakhstan za 2016 hod (statystycheskye materyaly). – Almaty, 2018.

www.cancer.net/cancer-types/breast-cancer/types-treatment

Ginsburg O, Yip CH, Brooks A, Cabanes A, Caleffi M, Dunstan Yataco JA, et al. Breast cancer early detection: A phased approach to implementation. Cancer. 2020; 126 Suppl 10: 2379-93. http://www.ncbi.nlm.nih.gov/pubmed/32348566

Mutebi M, Anderson BO, Duggan C, Adebamowo C, Agarwal G, Ali Z, et al. Breast cancer treatment: A phased approach to implementation. Cancer. 2020; 126 Suppl 10: 2365-78. http://www.ncbi.nlm.nih.gov/pubmed/32348571

Velazquez Berumen A, Jimenez Moyao G, Rodriguez NM, Ilbawi AM, Migliore A, Shulman LN. Defining priority medical devices for cancer management: a WHO initiative. Lancet Oncol. 2018; 19(12): e709-e19. http://www.ncbi.nlm.nih.gov/pubmed/30507437.

Ekateryna E. Sharashova, Kamyla K. Kholmatova, Maryia A. Horbatova, Andrei M. Hrzhybovskyi. Prymenenye mnozhestvennoho lohystycheskoho rehressyonnoho analyza v zdravookhranenyy s yspolzovanyem paketa statystycheskykh prohramm SPSS, Nauka y Zdravookhranenye, № 4, 2017. – C. 5-26.

Apsalykov B. A. Chastota mutatsyi y vlyianye na klynycheskoe techenye henetycheskykh faktorov rystka pry semeinom rake molochnoi zhelezy, dyssertatsyia na soyskanye stepeny doktora fylosofyy (PhD), Respublyka Kazakhstan, Semei, 2016, S. 57-60.

Ilbawi AM, Velazquez-Berumen A. World Health Organization List of Priority Medical Devices for Cancer Management to Promote Universal Coverage. Clin Lab Med. 2018; 38(1): 151-60. http://www.ncbi.nlm.nih.gov/pubmed/29412879

McCormack V, McKenzie F, Foerster M, Zietsman A, Galukande M, Adisa C, et al. Breast cancer survival and survival gap apportionment in sub-Saharan Africa (ABC-DO): a prospective cohort study. The Lancet Global health. 2020; 8(9): e1203-e12. http://www.ncbi.nlm.nih.gov/pubmed/32827482

Rositch AF, Unger-Saldana K, DeBoer RJ, Ng'ang'a A, Weiner BJ. The role of dissemination and implementation science in global breast cancer control programs: Frameworks, methods, and examples. Cancer. 2020; 126 Suppl 10: 2394-404. http://www.ncbi.nlm.nih.gov/pubmed/32348574

Wild CP, Weiderpass E, Stewart BW, editors (2020). World Cancer Report: Cancer Research for Cancer Prevention. Lyon, France: International Agency for Research on Cancer. Available from: http://publications.iarc.fr/586.

A. P. Yastremskii, A. I. Izvin, A. G. Sannikov, S. D. Zakharov. Predicting the paratonsillar abscess development probability using logistic regression method, Russian Otorhinolaryngology 2019; 18; 2(99). P. 95-102.

Wójcik, W., Pavlov, S., Kalimoldayev, M. (2019). Information Technology in Medical Diagnostics II. London: Taylor & Francis Group, CRC Press, Balkema book. – 336 Pages, https://doi.org/10.1201/ 9780429057618. eBook ISBN 9780429057618.

Pavlov S. V. Information Technology in Medical Diagnostics //Waldemar Wójcik, Andrzej Smolarz, July 11, 2017 by CRC Press - 210 Pages. https://doi.org/10.1201/9781315098050. eBook ISBN 9781315098050.

Nataliia I. Zabolotna, Heorhii H. Okarskyi, Sergei V. Pavlov, Vladyslava V. Sholota, Olexander F. Turskyi, Zbigniew Omiotek, Saltanat Amirgaliyeva, Ulzhalgas Zhunissova, and Sandugash Orazalieva "ROC analysis of informativeness of mapping of the ellipticity distributions of blood plasma films laser images polarization in the evaluation of pathological changes in the breast", Proc. SPIE 11456, Optical Fibers and Their Applications 2020, 114560I (12 June 2020).

Volodymyr D. Mishalov, Viktor T. Bachinsky, Oleg Ya. Vanchuliak, Alina Y. Zavolovitch, Yuliya V. Sarkisova, Alexander G. Ushenko, Sergii V. Pavlov, and etc. "Jones matrix mapping of polycrystalline networks of layers of main types of amino acids", Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019, 1117606 (6 November

Pavlov S.V. The complex degree of coherence of the laser images of blood plasma and the diag

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Published

2021-07-28

How to Cite

[1]
A. Orazayeva, J. A. Tussupov, S. Pavlov, S. Tymchyk, N. Savina, and O. Bezkrevnyi, “Mathematical model of the relationship between the genotype of patients with breast cancer on BRCA1 and TP53 and histological type of tumor based on multiple regression”, Опт-ел. інф-енерг. техн., vol. 41, no. 1, pp. 59–68, Jul. 2021.

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Biomedical Optical And Electronic Systems And Devices

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