FIELD: medicine.
SUBSTANCE: present invention refers to medicine, namely to oncology, and concerns prediction of risk of developing distant metastases in patients with operable forms of breast cancer with metastases in regional lymph nodes. That is ensured by determining molecular-biological tumour parameters in breast tissue samples and evaluating the scores, considering the extent of regional lymph nodes (X1) involvement into the metastasis process, tumour proliferative activity marker value Ki67 (%) (X2); HER-2 receptor (X3) expression, oestrogen receptor (X4) expression, progesterone receptor (X5) expression, chymotrypsin-like activity of proteasomes in tumour tissue (CLA) (UE*103 IU/mg protein) (X6); caspase-like activity of proteasomes (CALA) (UE*103 IU/mg protein) and activity of calpaines (AC) (UE*103 IU/mg protein) in tumour and intact tissue, coefficient of caspase-like activity of proteasomes (cCLA) (X7), and an coefficient of activity of calpaines (cAC) (X8). Values of logistic regression equation Y: Y = −140.77 + 253.314*X1 − 4.851*X2 + 375.064*X3 − 378.390*X4 + 2.537*X5 + 2.399*X6 + 49.752*X7+3.530*X8, (1) probability of developing hematogenic metastases P is determined by formula (2): P = 1/(1+e-Y), (2) where e is a mathematical constant equal to 2.72. When P ≥ 50 % is high, and if P <50 %, low risk of developing distant metastases.
EFFECT: method provides high accuracy of diagnosis by taking into account pathogenetic involvement of said pathogenetic factors.
1 cl, 2 ex
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Authors
Dates
2020-10-06—Published
2020-03-11—Filed