MicroRNA-21 regulates prostaglandin E2 signaling pathway by targeting 15-hydroxyprostaglandin dehydrogenase in tongue squamous cell carcinoma

He, Qianting; Chen, Zujian; Dong, Qian; Zhang, Leitao; Chen, Dan; Patel, Aditi; Koya, Ajay; Luan, Xianghong; Cabay, Robert J.; Dai, Yang; Wang, Anxun; Zhou, Xiaofeng

doi:10.1186/s12885-016-2716-0

Table 1 Putative microRNA-mRNA regulatory module defined by microRNA up-regulation and mRNA down-regulation^a

From: MicroRNA-21 regulates prostaglandin E2 signaling pathway by targeting 15-hydroxyprostaglandin dehydrogenase in tongue squamous cell carcinoma

Putative miR-mRNA regulatory module		Bioinformatics Prediction^c	Correlation (TCGA dataset)^d		Correlation (HNSCC cell line)^e		Correlation (patient sample)^f
miR (up)^b	mRNA (down)^b	Bioinformatics Prediction^c	Pearson r	p value	Pearson r	p value	Pearson r	p value
hsa-miR-155	ADH1B	6	−0.3263	0.120034	−0.0317	0.914331
hsa-miR-31	ADH1B	3	−0.3651	0.079472	0.3863
hsa-miR-223	ADIPOQ	5	−0.3104	0.140425	0.476
hsa-miR-130b	ADIPOQ	3	−0.3612	0.083075	0.2356
hsa-miR-223	ALOX12	5	−0.2752	0.193414	0.5856
hsa-miR-130b	ATP1A2	6	−0.4324	0.035023	−0.1899	0.515529
hsa-miR-31	ATP1A2	3	−0.3265	0.120034	0.2494
hsa-miR-223	CEACAM5	6	−0.0421	0.845504	−0.1689	0.563792
hsa-miR-21	CEACAM5	5	−0.107	0.618738	−0.0834	0.776829
hsa-miR-130b	CEACAM5	4	−0.1968	0.358677	−0.2497	0.389269
hsa-miR-223	CEACAM7	6	−0.111	0.605605	−0.1364	0.641958
hsa-miR-21	CILP	5	−0.4095	0.047201	−0.1815	0.534608
hsa-miR-21	CLU	3	−0.4126	0.045447	−0.1612	0.581947
hsa-miR-31	EMP1	5	−0.1491	0.487134	−0.0997	0.7345
hsa-miR-130b	EMP1	4	−0.5049	0.012034	0.0951
hsa-miR-21	GPD1L	5	−0.6784	0.000269	−0.4509	0.105628	−0.9536	0.00001
hsa-miR-155	GPD1L	5	−0.3008	0.154363	0.208
hsa-miR-223	HLF	7	−0.5536	0.005067	0.0789
hsa-miR-31	HLF	6	−0.5107	0.010896	0.2482
hsa-miR-130b	HLF	6	−0.62	0.001231	0.067
hsa-miR-21	HLF	3	−0.7801	<0.00001	−0.5774	0.0307	−0.6707	0.048
hsa-miR-31	HPGD	6	−0.2577	0.225391	0.0659
hsa-miR-21	HPGD	6	−0.55	0.005363	−0.5841	0.0283	−0.7972	0.0011
hsa-miR-130b	HPGD	3	−0.4602	0.023715	−0.3617	0.203821
hsa-miR-21	ID4	5	−0.5229	0.008886	−0.1121	0.702802
hsa-miR-31	KRT15	3	−0.1438	0.505031	−0.0053	0.985653
hsa-miR-21	LEPR	5	−0.2902	0.169251	0.6053
hsa-miR-223	LEPR	4	−0.1443	0.502026	−0.3246	0.257504
hsa-miR-130b	MGLL	4	−0.6913	0.000183	−0.5158	0.05903	−0.1864	0.542035
hsa-miR-223	NEBL	6	−0.518	0.009519	−0.0598	0.8391
hsa-miR-130b	NEBL	5	−0.5237	0.008733	0.091
hsa-miR-21	NEBL	3	−0.5582	0.004605	−0.1793	0.539655
hsa-miR-223	NMU	5	−0.2119	0.322319	0.6125
hsa-miR-31	PPP1R3C	4	−0.2695	0.203707	0.5588
hsa-miR-155	PTN	6	0.1331		−0.1157	0.693673
hsa-miR-130b	TGM1	7	−0.5858	0.002676	0.0162
hsa-miR-155	ZNF185	6	−0.0065	0.977802	−0.2152	0.46
hsa-miR-21	ZNF185	5	−0.3451	0.098725	−0.0739	0.8018

^aThe putative microRNA-mRNA regulatory module (MRM) was constructed based on microRNA and mRNA expression profiles of OTSCC, as we previously reported in [16] and [15], respectively
^bDifferential expression of microRNAs and mRNAs was validated using dataset on 12 OTSCC and paired normal tissue samples that were extracted from TCGA. Genes that show statistically significant differential expression were identified with bold font
^cThe candidate targets of a microRNA were predicted using a collection of 12 bioinformatics tools, including DIANAmT, miRanda, microCosm, miRDB, miRWalk, RNAhybrid, PicTar (4-way), PicTar (5-way), PITA, RNA22, TargetScan5, and TargetScanHuman 6.2. The number of bioinformatics tools (out of a total of 12 tools tested here) that predict a gene to be a microRNA target was presented. The gene/microRNA pairs predicted by at least 3 tools were listed in the table
^dCorrelations of microRNA and mRNA levels were assessed using dataset on 12 OTSCC and paired normal controls that were extracted from TCGA. Inverted correlation (negative Pearson r value) is expected for a MRM, and p value was calculated
^eCorrelations of microRNA and mRNA levels were assessed by quantitative real-time PCR based on 13 HNSCC cell line. Inverted correlation (negative Pearson r value) is expected for a MRM, and p value was calculated
^fCorrelations of 4 pairs of microRNA and mRNA levels were assessed by quantitative real-time PCR based on 13 OTSCC patient oral cytology samples. Inverted correlation (negative Pearson r value) is expected for a MRM, and p value was calculated

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