In Silico Integration Approach Reveals Key MicroRNAs and Their Target Genes in Follicular Thyroid Carcinoma

Table 1

Aberrant miRNAs and their most probable target genes.

miRNA_ID	Expression	P value	adj.P value	logFC	Most probable target genes
hsa-miR-7-2-3p	down-regulated	0.0001655	0.001986	-1.363672	VMA21, VEGFA, TMEM50B, QSER1, LMAN1
hsa-miR-767-5p	up-regulated	0.000997	0.0028464	0.820405	RNF138, SH3GLB1, PEG10, SFT2D3, MYCN
hsa-miR-7-5p	down-regulated	0.0011923	0.0036794	-1.922032	SNCA, EGFR, IRS1, KLF4, IRS2, RAF1
hsa-miR-663b	up-regulated	0.0016628	0.0038779	0.891045	CCND2, LRRC58
hsa-miR-130b-5p	down-regulated	0.0017059	0.0042245	-0.906782	NOTCH2, CGNL1, ANKRD28, TFRC, PLP1
hsa-miR-144-5p	down-regulated	0.0021107	0.0052289	-0.904925	SYNPO2
hsa-miR-1179	down-regulated	0.0021463	0.007189	-1.640942	CDK6, BLOC1S2, USP46, ID2, PPP1R12A
hsa-miR-137	up-regulated	0.0028163	0.0192025	1.039935	NCOA2, KIT, KDM1A, CTBP1, CXCL12, MITF, ESRRA,
hsa-miR-328-3p	down-regulated	0.0039217	0.0477905	-0.871384	H2AFX, ADNP, ARL6IP1