METHOD FOR PREDICTION OF ANTI-OESTROGEN TAMOXIFEN THERAPY EFFECTIVENESS IN PATIENTS WITH LUMINAL BREAST CANCER

摘要

FIELD: medicine.SUBSTANCE: invention refers to medicine, particularly oncology and aims at predicting the anti-oestrogen tamoxifen therapy effectiveness. An immune histochemical analysis of a tumour tissue is performed in the patients suffering luminal breast cancer, and a tumour tissue distribution pattern of oestrogen receptors alpha expression is described. Rs2228480 G/A polymorphism is stated in exon 8 of oestrogen receptors alpha (ER?) gene by real-time polymerase chain reaction. The state of regional lymph nodes is assessed. The tumour grade and the anti-oestrogen tamoxifen therapy effectiveness are calculated by formula. If P>0.5, the high anti-oestrogen tamoxifen therapy effectiveness is predicted. P<0.5 shows the low therapy effectiveness and a high probability of progression are predicted.EFFECT: invention is very likely to predict of the therapy effectiveness and thereby applying an individual approach to choose a type of hormonal treatment in the patients suffering luminal breast cancer.2 tbl, 2 ex