METHOD FOR PREDICTING RECURRENCE OF SEROUS OVARIAN CARCINOMA Russian patent published in 2021 - IPC G01N33/574 C12Q1/6876 

FIELD: medicine; molecular oncology.

SUBSTANCE: invention relates to the field of medicine, in particular to molecular oncology, it is intended for predicting the recurrence of serous ovarian carcinoma. The analysis of micro-RNA expression in an ovarian trepan biopsy sample is performed, including the introduction of exogenous control and isolation of total RNA, reverse transcription with subsequent amplification in real time, and primers for hsa-miR-150-5p, hsa-miR-140-3p, and hsa-miR-221-3p are used. The obtained data are analyzed and the prognostic coefficient RS is calculated using the formula: RS = (1.96 * hsa-miR-140-3p expression) + (-2.7 * hsa-miR-150-5p expression) + (2.13 * hsa-miR-221-3p expression). At values of RS ≥13, the risk of developing a recurrence of the disease is predicted within the first six months after the end of treatment.

EFFECT: invention provides for the creation of a new, effective, specific method for predicting recurrence-free survival in patients with serous ovarian carcinoma.

4 cl, 3 tbl, 2 ex