| 摘要 |
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=7.0-4.1X-0.15X+1.8X-4.8X+1.78X+0.56X, wherein: Xis a size of a primary tumour node: 1 - less than 30 mm, 2 - 30 mm and more; Xis 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; Xis the chemotherapy regimen: 1 - FAC, 2 - CAX, Xis the EGFR1 expression level in the biopsy material of the tumour tissue: 1 - less than 10%, 2 - 10% and more; Xis the Ki-67 expression level in the biopsy material of the tumour tissue: 1 - less than 20%, 2 - 20% and more; Xis 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/(1+e). 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.6 tbl, 2 ex |
