Table 4.
circRNAs as prognostic biomarkers for PCa
| circRNA | Cutoff value | Number of circRNA expression |
p value | HR | 95% CI |
Follow-up (months) | Prognosis | Reference | Year | ||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Low | High | Lower | Higher | ||||||||
| circMBOAT2 | MEL | 25 | 25 | 0.024 | 0.33 (KMA) | 0.13 | 0.86 | 96 | DFS | Shi et al.85 | 2020 |
| MEL | 31 | 31 | 0.037 | 0.39 (KMA) | 0.1 | 0.98 | 96 | DFS | |||
| circ_ITCH | MEL | 162 | 162 | <0.001 | 0.476 (MCRA) | 0.329 | 0.690 | – | DFS | Huang et al.170 | 2019 |
| circMTO1 | MEL | 149 | 149 | 0.005 | 0.541 (UCRA) | 0.351 | 0.832 | 48 | DFS | Hu et al.104 | 2019 |
| circ_0000735 | MEL | 25 | 25 | 0.02 | – | – | – | – | OS | Gao et al.82 | 2020 |
| circ_0016068 | MEL | 21 | 21 | 0.036 | – | – | – | – | OS | Li et al.64 | 2020 |
| circLARP4 | – | 55 | 55 | 0.009 | – | – | – | – | OS | Weng et al.105 | 2020 |
| circABCC4 | – | 23 | 24 | <0.05 | – | – | – | – | OS | Huang et al.75 | 2019 |
| circ_ITCH | MEL | 162 | 162 | 0.001 | 0.415 (MCRA) | 0.245 | 0.703 | – | OS | Huang et al.170 | 2019 |
| circ_ITCH | MEL | 26 | 26 | <0.01 | – | – | – | – | OS | Wang et al.97 | 2019 |
| circMTO1 | MEL | 149 | 149 | 0.016 | 0.444 (UCRA) | 0.229 | 0.860 | 48 | OS | Hu et al.104 | 2019 |
HR, hazard ratio; KMA, Kaplan-Meyer analysis; MCRA, multivariate Cox regression analysis; UCRA, univariate Cox regression analysis.