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Title: | MATHEMATICAL MODEL FOR PREDICTING SURVIVAL IN PATIENTS WITH TRIPLE NEGATIVE BREAST CANCER |
Authors: | Atakhanova N. E., Almuradov A., Almuradova D. M., Ziyaev Sh. V |
Keywords: | triple negative breast cancer , immunohistochemistry, androgen receptor , mathematical models |
Issue Date: | 2023 |
Publisher: | Researchjet Journal of Analysis and Inventions |
Abstract: | Triple negative breast cancer (TNBC) has a more aggressive clinical course compared to other breast cancer subtypes. The presence of a triple negative receptor status causes the ineffectiveness of such types of targeted treatment as hormonal therapy and targeted therapy with Herceptin , in contrast to luminal and Her-2/ neu -positive tumors. In this regard, chemotherapy today remains the only accepted method of systemic treatment in this category of patients. Over the past few years, great advances have been made in the comprehensive treatment of TNBC. But, despite this, TN breast cancer remains one of the aggressive forms of malignant breast tumors with a high level of metastasis and low survival compared to other subtypes of breast cancer |
URI: | http://repository.tma.uz/xmlui/handle/1/9572 |
ISSN: | 2776-0960 |
Appears in Collections: | Thesis, Articles |
Files in This Item:
File | Description | Size | Format | |
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1-7.pdf | MATHEMATICAL MODEL FOR PREDICTING SURVIVAL IN PATIENTS WITH TRIPLE NEGATIVE BREAST CANCER | 333.23 kB | Adobe PDF | View/Open |
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