METHOD FOR IDENTIFICATION OF ACTIVATED molecular mechanisms specific to carcinogenesis in individual patients, and to generate personalized recommendations for optimization SCHEMES antitumor pharmacotherapy

摘要

A method for identifying activated molecular mechanisms that are specific for carcinogenesis process in the individual patient, and generating personalized recommendations for optimization schemes anticancer drug therapy, comprising the following steps: a) search the activated gene regulatory network consisting of a central controller (such as a transcription factor) and regulated genes using data RNASeq-tumor tissue and standards using SNEA algorithm; b) made the union found genetic regulatory etey into clusters based on similarity of a set of regulated genes using measure Jaccard and hierarchical clustering method Ward, wherein each cluster controllers attributed measure characterizing the level of expression of components of the cluster of genes and defined as the sum in the cluster medians regulated gene expression changes; c) case of simultaneous analysis of multiple samples using cluster analysis (using Pearson correlation and Ward method) defined groups of patients with similar profiles acti th e signaling pathways controls and the patient is assigned to the closest group to allow for additional clinical information, in particular on the sensitivity / resistance to specific therapy; g) search for genetic regulatory networks and canonical signaling pathways significantly enriched with differentially expressed genes and genes with mutations (single nucleotide polymorphisms, and insertions / substitutions found by ekzomnym data), the more weight can be assigned to polymorphisms in the gene regulators eq