Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivity

Table 1 Replication of letrozole-induced coexpression relationships

Gene 1	Gene 2	Gene 1 expression change	Gene 2 expression change	PCOR coefficient discovery data	PCOR coefficient replication data	GO term	KEGG term	REACTOME term	IMP
RRM2	TOP2A	↓	↓	0.44	0.90	DNA replication	-	-	0.88
LINC00341	RUNX1T1	↑	↑	0.34	0.78	-	-	-	-
MN1	SPARC	↑	↑	0.45	0.76	-	-	-	-
FBLN1	FLRT2	↑	↑	0.43	0.70	-	-	-	-
MEF2C	LINC00341	↑	↑	0.37	0.66	-	-	-	-
FSTL1	PDGFRL	↑	↑	0.47	0.63	-	-	-	0.10

We identified coexpression relationships among a set of 263 genes that were differentially expressed in two independent data sets of breast tumor biopsies following 90 days of letrozole treatment. The coexpressed gene pairs that validated are shown here with their pathway annotations and IMP score, which can be interpreted as the predictive probability that the two genes have a functional interaction based on a large compendium of empirical data. GO, Gene Ontology; IMP, Integrated Multi-species Prediction; KEGG, Kyoto encyclopedia of genes and genomes; PCOR, Partial correlation coefficient.

ISSN: 1756-994X