METHOD FOR PREDICTION OF METASTASES DEVELOPMENT IN PATIENTS WITH GASTRIC CANCER Russian patent published in 2017 - IPC G01N33/53 

FIELD: medicine.

SUBSTANCE: amplification of V2M HV2 and CFLAR genetic loci fragments is performed using polymerase chain reaction in real time using a set of high-affinity primers on a selected DNA matrix, quantitative interpretation of amplification results and calculation of relative genes authenticity by the formula rC=2^{-(Ct(gene target)-Ct(B2M))} is performed, where rC is relative gene abundance in the tumor tissue, Ct is the average value of fluorescence signals, the relative gene abundance values obtained are compared to predicted ones, and at rC_HV2<870 and rC_CFLAR>0.40 absence of metastases is predicted, and at rC_HV2>870 and RC_CFLAR<0.40, metastases development is predicted.

EFFECT: method allows to make an early prediction for the development of metastases in patients with gastric cancer.

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