METHOD FOR PREDICTION OF COMPLETE MORPHOLOGICAL REGRESSIONS IN PATIENTS SUFFERING TRIPLE-NEGATIVE RESECTABLE BREAST CANCER Russian patent published in 2015 - IPC G01N33/48 

FIELD: medicine.

SUBSTANCE: invention concerns methods for prediction of complete morphological regressions (CMR) in the patients with triple-negative resectable breast cancer. The immunohistological analysis of tumour tissue is conducted. A regression equation Y is determined by formula: Y=7.0-4.1X₁-0.15X₂+1.8X₃-4.8X₄+1.78X₅+0.56X₆, wherein: X₁ is a size of a primary tumour node: 1 - less than 30 mm, 2 - 30 mm and more; X₂ is the state of the regional lymphatic apparatus: 0 - the absence of a metastatic lesion of the lymph nodes, 1 - the lesion involving up to 4 lymph nodes, 2 - the lesion involving 4-9 lymph nodes, 3 - the lesion involving 10 lymph nodes and more; X₃ is the chemotherapy regimen: 1 - FAC, 2 - CAX, X₄ is the EGFR1 expression level in the biopsy material of the tumour tissue: 1 - less than 10%, 2 - 10% and more; X₅ is the Ki-67 expression level in the biopsy material of the tumour tissue: 1 - less than 20%, 2 - 20% and more; X₅ is the VEGFR-2 expression level in the biopsy material of the tumour tissue: 1 - less than 70%, 2 - 70% and more. A probability of CMR is calculated by formula: P=e^Y/(1+e^Y). If P<0.5, the low probability is predicted, whereas P>0.5 shows the high probability of CMR.

EFFECT: method for prediction enables increasing accuracy and information value.

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