Table 1.
All publications on faecal-based microRNAs for the detection of colorectal cancer.
| Study ID | First author (Year)[Reference no.] | Origin of population | Sample size | miRNA profile | qPCR quantitation method | Proximal/Distal | Early/Late stage | |
|---|---|---|---|---|---|---|---|---|
| CRC | Control | |||||||
| 1 | Koga Y (2010)11 | Japan | 119 | 197 | miR-17-92 cluster* | Relative | Y | Y |
| 2 | Koga Y (2010)11 | Japan | 119 | 197 | miR-17 | Relative | — | — |
| 3 | Koga Y (2010)11 | Japan | 119 | 197 | miR-18a | Relative | — | — |
| 4 | Koga Y (2010)11 | Japan | 119 | 197 | miR-19a | Relative | — | — |
| 5 | Koga Y (2010)11 | Japan | 119 | 197 | miR-19b | Relative | — | — |
| 6 | Koga Y (2010)11 | Japan | 119 | 197 | miR-20a | Relative | — | — |
| 7 | Koga Y (2010)11 | Japan | 119 | 197 | miR-92a | Relative | — | — |
| 8 | Koga Y (2010)11 | Japan | 119 | 197 | miR-21 | Relative | Y | Y |
| 9 | Koga Y (2010)11 | Japan | 119 | 197 | miR-135a, miR-135b | Relative | Y | Y |
| 10 | Koga Y (2010)11 | Japan | 119 | 197 | miR-135a | Relative | — | — |
| 11 | Koga Y (2010)11 | Japan | 119 | 197 | miR-135b | Relative | — | — |
| 12 | Koga Y (2010)11 | Japan | 119 | 197 | miR-17-92 cluster*, miR-21, miR-135a/b | Relative | Y | Y |
| 13 | Kalimutho M (2011)12 | Italy | 40 | 35 | miR-144-5p | Relative | — | — |
| 14 | Wu CW (2012)20 | Hong Kong | 101 | 88 | miR-21 | Absolute | Y | Y |
| 15 | Wu CW (2012)20 | Hong Kong | 101 | 88 | miR-92a | Absolute | Y | Y |
| 16 | Wu CW (2012)20 | Hong Kong | 101 | 88 | miR-21, miR-92a | Absolute | Y | Y |
| 17 | Kuriyama S (2012)21 | Japan | 126 | 138 | miR-106a | Relative | — | — |
| 18 | Kuriyama S (2012)21 | Japan | 126 | 138 | miR-21, miR-92a, miR-106a | Relative | — | — |
| 19 | Kanaoka S (2013)22 | Japan | 126 | 138 | miR-21 | Relative | — | — |
| 20 | Kanaoka S (2013)22 | Japan | 126 | 138 | miR-92a | Relative | — | — |
| 21 | Koga Y (2013)23 | Japan | 107 | 117 | miR-106a | Relative | — | — |
| 22 | Zhao HJ (2014)24 | China | 20 | 28 | miR-194 | Relative | — | — |
| 23 | Wu CW (2014)25 | Hong Kong | 109 | 104 | miR-135b | Absolute | — | — |
| 24 | Yau TO (2014)26 | Hong Kong | 198 | 198 | miR-221 | Absolute | — | — |
| 25 | Yau TO (2014)26 | Hong Kong | 198 | 198 | miR-18a | Absolute | — | — |
| 26 | Yau TO (2014)26 | Hong Kong | 198 | 198 | miR-221, miR-18a | Absolute | — | — |
| 27 | Yau TO (2014)26 | Hong Kong | 198 | 198 | miR-221, miR-135b | Absolute | — | — |
| 28 | Yau TO (2014)26 | Hong Kong | 198 | 198 | miR-18a, miR-135b | Absolute | — | — |
| 29 | Yau TO (2014)26 | Hong Kong | 198 | 198 | miR-221, miR-18a, miR-135b | Absolute | — | — |
| 30 | Phua LC (2014)27 | Singapore | 28 | 17 | miR-223 | Relative | — | — |
| 31 | Phua LC (2014)27 | Singapore | 28 | 17 | miR-451 | Relative | — | — |
| 32 | Chang PY (2016)13 | Taiwan | 309 | 138 | miR-223, miR-92a, miR-16, miR-106b | Relative | — | — |
| 33 | Chang PY (2016)13 | Taiwan | 309 | 138 | miR-223, miR-92a | Relative | — | — |
| 34 | Yau TO (2016)14 | Hong Kong | 198 | 198 | miR-20a | Absolute | — | — |
| 35 | Yau TO (2016)14 | Hong Kong | 198 | 198 | miR-20a, miR-92a | Absolute | — | — |
| 36 | Yau TO (2016)14 | Hong Kong | 198 | 198 | miR-20a, miR-135b | Absolute | — | — |
| 37 | Zhu Y (2016)15 | China | 51 | 80 | miR-29a | Relative | — | — |
| 38 | Zhu Y (2016)15 | China | 51 | 80 | miR-223 | Relative | — | — |
| 39 | Zhu Y (2016)15 | China | 51 | 80 | miR-224 | Relative | — | — |
| 40 | Liu H (2016)16 | China | 150 | 98 | miR-21 | Relative | — | — |
| 41 | Liu H (2016)16 | China | 150 | 98 | miR-146a | Relative | — | — |
| 42 | Liu H (2016)16 | China | 150 | 98 | miR-21, miR-146a | Relative | — | — |
| 43 | Xue Y (2016)17 | China | 50 | 50 | miR-141 | Relative | — | — |
| 44 | Xue Y (2016)17 | China | 50 | 50 | miR-92a | Relative | — | — |
| 45 | Bastaminejad S (2017)18 | Iran | 40 | 40 | miR-21 | Relative | — | — |
| 46 | Wu CW (2017)19 | USA | 29 | 115 | miR-451a, miR-144-5p | Relative | Y | Y |
*The miR-17-92 cluster includes miR-17, miR-18a, miR-19a, miR-20a, miR-19b-1, and miR-92a.