FIELD: medicine; biotechnology.
SUBSTANCE: invention relates to molecular oncology and is a method for predicting metastases in regional lymph nodes in gastric adenocarcinoma, characterized in that amplification of fragments of loci B2M, NFKB1 and HER2 NFKB1 and HER2 by real-time PCR method, the relative abundance of genes is calculated using a formula rC=rCtumor/rCnorm=2-ΔCt(tumor/2-ΔCt(norm), where rC is the relative abundance of the gene, ΔCt is the difference in the mean value of the fluorescence signals (Ct) by three replicates for the target gene and the mean Ct for three replicates for the reference gene: ΔCt=Ct(target gene)-Ct(B2M), immunohistochemical examination is performed on sections of paraffin blocks using monoclonal antibodies to Ki67 and HER2, and at values rCNFKB1<0.8±0.02 and rCHER2<1.1±0.08 in combination with the level of expression in the nuclei of tumor cells of the Ki67IHC protein <35.6±6.1 and negative expression of HER2IHC(-), predict the absence of metastases, but at values rCNFKB1>0.9±0.01 and rCHER2>2.0±0.1 in combination with the level of expression in the nuclei of tumor cells of the Ki67IHC protein >54.2±4.9 and positive expression of HER2IHC(+++), predict the development of metastases.
EFFECT: invention provides an expansion of the arsenal of means for predicting the development of metastases, as well as the creation of a method that is fast in execution and highly sensitive.
1 cl, 1 tbl, 2 ex
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Authors
Dates
2018-07-17—Published
2017-09-25—Filed