miRNA
|
First author
|
Year
|
Region
|
Data source
|
Platform
|
Number of case
|
Expression (mean ± SD)
|
---|
Cancer
|
Normal
|
Cancer
|
Normal
|
---|
hsa-miR-1303
|
Hou J
|
2010
|
China
|
GSE21279
|
GPL9052
|
4
|
7
|
4.15 ± 1.206
|
2.49 ± 0.554
|
Sato F
|
2011
|
Japan
|
GSE21362
|
GPL10312
|
59
|
61
|
1.59 ± 1.014
|
1.39 ± 1.042
|
Kim J
|
2012
|
South Korea
|
GSE39678
|
GPL15852
|
16
|
8
|
11.00 ± 0.702
|
11.49 ± 0.364
|
Diaz G
|
2013
|
USA
|
GSE40744
|
GPL14613
|
9
|
19
|
3.72 ± 0.774
|
2.78 ± 0.492
|
Villanueva A
|
2016
|
Spain
|
GSE74618
|
GPL14613
|
230
|
10
|
1.88 ± 0.658
|
1.51 ± 0.263
|
TCGA
|
2017
|
USA
|
TCGA
|
none
|
21
|
5
|
0.35 ± 0.225
|
0.17 ± 0.100
|
Xie Z
|
2017
|
China
|
GSE98269
|
GPL20712
|
3
|
3
|
5.07 ± 0.071
|
5.10 ± 0.115
|
hsa-miR-142-5p
|
Li W
|
2008
|
China
|
GSE10694
|
GPL6542
|
78
|
88
|
11.01 ± 0.605
|
11.19 ± 0.710
|
Su H
|
2008
|
China
|
GSE12717
|
GPL7274
|
9
|
6
|
9.11 ± 1.406
|
9.09 ± 0.707
|
Burchard J
|
2010
|
USA
|
GSE22058
|
GPL10457
|
96
|
96
|
0.95 ± 0.241
|
1.07 ± 0.135
|
Hou J
|
2010
|
China
|
GSE21279
|
GPL9052
|
4
|
7
|
7.04 ± 1.190
|
7.77 ± 1.112
|
Sato F
|
2011
|
Japan
|
GSE21362
|
GPL10312
|
59
|
61
|
7.06 ± 1.022
|
7.93 ± 0.577
|
Kim J
|
2012
|
South Korea
|
GSE39678
|
GPL15852
|
16
|
8
|
11.10 ± 0.959
|
11.88 ± 0.182
|
Morita K
|
2013
|
Japan
|
GSE41874
|
GPL7722
|
6
|
4
|
0.72 ± 0.412
|
1.34 ± 0.225
|
Diaz G
|
2013
|
USA
|
GSE40744
|
GPL14613
|
9
|
19
|
1.96 ± 0.506
|
1.74 ± 0.224
|
Villanueva A
|
2016
|
Spain
|
GSE74618
|
GPL14613
|
230
|
10
|
1.37 ± 0.206
|
1.36 ± 0.212
|
Xie Z
|
2017
|
China
|
GSE98269
|
GPL20712
|
3
|
3
|
6.76 ± 0.733
|
6.88 ± 0.169
|
TCGA
|
2017
|
USA
|
TCGA
|
None
|
371
|
49
|
5.45 ± 1.264
|
6.86 ± 0.796
|
hsa-miR-877-5p
|
Hou J
|
2010
|
China
|
GSE21279
|
GPL9052
|
4
|
6
|
3.64 ± 1.753
|
2.19 ± 0.713
|
Sato F
|
2011
|
Japan
|
GSE21362
|
GPL10312
|
59
|
61
|
2.17 ± 0.921
|
2.05 ± 0.961
|
Morita K
|
2013
|
Japan
|
GSE41874
|
GPL7722
|
6
|
4
|
1.08 ± 0.313
|
1.06 ± 0.452
|
Diaz G
|
2013
|
USA
|
GSE40744
|
GPL14613
|
9
|
19
|
5.36 ± 0.619
|
3.88 ± 0.797
|
Villanueva A
|
2016
|
Spain
|
GSE74618
|
GPL14613
|
230
|
10
|
3.64 ± 0.741
|
3.42 ± 0.636
|
Xie Z
|
2017
|
China
|
GSE98269
|
GPL20712
|
3
|
3
|
5.31 ± 0.073
|
5.12 ± 0.066
|
TCGA
|
2017
|
USA
|
TCGA
|
None
|
360
|
46
|
1.47 ± 0.807
|
0.73 ± 0.328
|
hsa-miR-583
|
Sato F
|
2011
|
Japan
|
GSE21362
|
GPL10312
|
59
|
61
|
1.47 ± 0.722
|
1.46 ± 0.837
|
Morita K
|
2013
|
Japan
|
GSE41874
|
GPL7722
|
6
|
4
|
0.91 ± 0.249
|
0.76 ± 0.293
|
Diaz G
|
2013
|
USA
|
GSE40744
|
GPL14613
|
9
|
19
|
1.75 ± 0.247
|
1.77 ± 0.344
|
Villanueva A
|
2016
|
Spain
|
GSE74618
|
GPL14613
|
230
|
10
|
1.43 ± 0.237
|
1.45 ± 0.294
|
Xie Z
|
2017
|
China
|
GSE98269
|
GPL20712
|
3
|
3
|
5.07 ± 0.119
|
5.02 ± 0.020
|
hsa-miR-1276
|
Sato F
|
2011
|
Japan
|
GSE21362
|
GPL10312
|
59
|
61
|
1.55 ± 0.810
|
1.72 ± 0.737
|
Diaz G
|
2013
|
USA
|
GSE40744
|
GPL14613
|
9
|
19
|
1.9 ± 0.254
|
1.70 ± 0.209
|
Villanueva A
|
2016
|
Spain
|
GSE74618
|
GPL14613
|
230
|
10
|
1.34 ± 0.164
|
1.38 ± 0.191
|
Xie Z
|
2017
|
China
|
GSE98269
|
GPL20712
|
3
|
3
|
5.06 ± 0.049
|
5.06 ± 0.027
|
TCGA
|
2017
|
USA
|
TCGA
|
None
|
233
|
17
|
0.61 ± 0.380
|
0.36 ± 0.233
|
- TCGA The Cancer Genome Atlas, SD standard deviation