Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer

Table 6 Identification of mRNA targets for miRNAs significant for OS and/or RFS

miRNA ID	Target Identification		Gene Ontology
miRNA ID	Number of mRNA targets identified from TargetScan	Number of predicted targets overlapping with mRNA expression dataset	Total number of annotation clusters	Number of clusters with enrichment score ≥ 1.3
hsa-miR-15a-5p	1275	181	48	15
hsa-miR-27a-3p	1212	183	47	13
hsa-miR-193b-3p	222	30	4	0
hsa-miR-574-3p	13	2	0	0
hsa-miR-660-5p	149	25	2	1
hsa-miR-210-3p	32	6	1	0
hsa-miR-146b-5p	226	31	4	1
hsa-miR-374a-3p; hsa-miR-374a-5p	680	110	22	9
hsa-miR-221-3p	446	60	25	13
hsa-miR-196a-5p	295	46	13	5
hsa-miR-425-5p	212	24	2	0

Gene targets for 12 miRNAs significant in survival analysis were identified using in silico prediction (TargetScan) and were confirmed with in-house mRNA-miRNA matched expression dataset (n = 17). Gene ontology terms were identified for mRNAs overlapping with in-house dataset using DAVID bioinformatics tool. Only annotation clusters with Enrichment Score (ES) ≥ 1.3 were considered. However, no cluster with ES ≥ 1.3 could be identified for miR-193b-3p, miR-574-3p, miR-210-3p and miR-425-5p

ISSN: 1471-2164