基于多元回归的乳腺癌患者BRCA1和TP53基因型与肿瘤组织学类型关系的数学模型

Ainur Orazayeva, J. Tussupov, S. Pavlov, S. Tymchyk, N. Savina, O. S. Bezkrevnyi
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引用次数: 0

摘要

这篇文章分析了乳腺癌发病率的增长,这在过去二十年中变得尤为明显,需要该领域所有专家和研究人员的特殊参与。确定遗传性乳腺癌患者可以形成早期诊断、预防和治疗的策略。通过分析,得到了多元回归方程。采用决定系数和Fisher检验验证方程的统计学显著性。及时诊断应与有效的癌症治疗相结合,这在许多情况下需要某种程度的专门癌症护理。由于在肿瘤学设施或医院中建立了集中服务,将与乳腺癌有关的一切作为模式,因此可以优化乳腺癌的治疗,同时改善其他癌症的治疗。
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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
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.
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