Downregulation of hsa-microRNA-204-5p and identification of its potential regulatory network in non-small cell lung cancer: RT-qPCR, bioinformatic- and meta-analyses

Liang, Chang-Yu; Li, Zu-Yun; Gan, Ting-Qing; Fang, Ye-Ying; Gan, Bin-Liang; Chen, Wen-Jie; Dang, Yi-Wu; Shi, Ke; Feng, Zhen-Bo; Chen, Gang

doi:10.1186/s12931-020-1274-9

Table 4 Detailed information of all datasets used in SMD metaanalysis: eligible GEO datasets, TCGA, qualified publications and our RT-qPCR (represented as Current study). P<0.05 was considered as significant. Annotation: SMDstandard mean deviation, NOnumber, RTqPCRrealtime quantitative polymerase chain reaction. Since no citations were reflected for GSE24709, GSE46729, GSE93300, GSE19945 and GSE74190, websites were the alternatives

From: Downregulation of hsa-microRNA-204-5p and identification of its potential regulatory network in non-small cell lung cancer: RT-qPCR, bioinformatic- and meta-analyses

ID	Lead author	Year	Country	Source	Platform	Experimental type	Citation	Cancer No.	Control No.	T value	Pvalue
GSE16512	Lodes MJ	2009	USA	plasma	GPL8686	array	[31]	3	14	0.066	0.057
GSE17681	Keller A	2009	Germany	plasma	GPL9040	array	[32]	17	19	−1.104	0.009
GSE24709	Keller A	2011	Germany	plasma	GPL9040	array	[33]	28	19	2.289	0.000
GSE27486	Patnaik SK	2010	USA	plasma	GPL11432	array	[34]	22	23	1.699	0.518
GSE31568	Keller A	2011	Germany	plasma	GPL9040	array	[35]	32	70	1.527	0.363
GSE40738	Patnaik SK	2012	USA	plasma	GPL16016	array	[36]	86	59	−2.561	0.125
GSE46729	Godrey A	2014	USA	plasma	GPL8786	array	[37]	24	24	0.955	0.945
GSE61741	Keller A	2014	Germany	plasma	GPL9040	array	[38]	73	94	4.427	0.000
GSE68951	Leidinger P	2015	Germany	plasma	GPL16770	array	[39]	26	12	2.553	0.773
PMID:26497897	Guo W	2015	China	plasma	NR	RT-qPCR	[15]	126	50	NR	< 0.001
GSE93300	Liu X	2017	China	plasma	GPL21576	array	[40]	9	4	3.557	0.748
GSE2564	Lu J	2005	USA	tissue	GPL1987	array	[41]	14	4	−0.731	0.396
GSE14936	Seike M	2009	USA	tissue	GPL8879	array	[42]	26	26	−1.344	0.654
GSE15008	Tan X	2009	China	tissue	GPL8176	array	[43]	187	174	2.883	0.000
GSE16025	Raponi M	2009	USA	tissue	GPL5106	array	[44]	61	10	0.916	0.111
GSE18692	Puissegur M	2009	France	tissue	GPL4718	array	[45]	13	13	−5.072	0.617
GSE19945	Ohba T	2010	Japan	tissue	GPL9948	array	[46]	20	8	−1.305	0.289
GSE25508	Guled M	2011	Finland	tissue	GPL7731	array	[47]	26	26	1.868	0.080
GSE29248	Ma L	2010	China	tissue	GPL8179	array	[48]	6	6	−0.431	0.474
GSE36681	Jang JS	2012	USA	tissue	GPL8179	array	[49]	103	103	−3.282	0.001
GSE47525	van Jaarsveld MT	2013	Netherlands	tissue	GPL17222	array	[50]	18	14	−1.499	0.103
GSE48414	Bjaanaes MM	2014	Norway	tissue	GPL16770	array	[51]	154	20	−5.891	0.000
GSE51853	Arima C	2014	Japan	tissue	GPL7341	array	[52]	126	5	−1.63	0.103
GSE53882	Pu HY	2014	China	tissue	GPL18130	array	[53]	397	151	0.148	0.933
GSE56036	Fujita Y	2014	Japan	tissue	GPL15446	array	[54]	14	27	−0.756	0.204
GSE63805	Robles AI	2014	USA	tissue	GPL18410	array	[55]	32	30	0.449	0.074
GSE72526	Gasparini P	2015	Switzerland	tissue	GPL20275	array	[56]	67	18	− 3.904	0.000
GSE74190	Jin Y	2015	China	tissue	GPL19622	array	[57]	72	44	−1.306	0.141
GSE102286	Mitchell KA	2017	USA	tissue	GPL23871	array	[58]	91	88	−1.087	0.003
TCGA	NR	NR	NR	tissue	NR	array	NR	999	91	−3.055	0.000
Literature 1	Li LX	2017	China	tissue	NR	RT-qPCR	[28]	39	39	NR	<0.01
Literature 2	Xu YZ	2018	China	tissue	NR	RT-qPCR	[30]	60	60	9.361	0.000
Literature 3	Wang QC	2018	China	tissue	NR	RT-qPCR	[29]	72	72	11.028	<0.01
Current study	NR	NR	China	tissue	NR	RT-qPCR	NR	125	125	−3.507	0.007

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