Please use this identifier to cite or link to this item: http://repository.tma.uz/xmlui/handle/1/9572
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 SizeFormat 
1-7.pdfMATHEMATICAL MODEL FOR PREDICTING SURVIVAL IN PATIENTS WITH TRIPLE NEGATIVE BREAST CANCER333.23 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.