Table 4.
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