Table 4 Prognostic markers involved in regulating cell apoptosis in ESCC as reported in original studies
From: Immunohistochemical prognostic markers of esophageal squamous cell carcinoma: a systematic review
Marker | References | Sample size | Clinical stage | OS | DFS | Analytic methods | ||||
|---|---|---|---|---|---|---|---|---|---|---|
HR | 95% CI | P value | HR | 95% CI | P value | |||||
MDM2 | Mathew et al. [11] | 50 | I–IV | – | – | >0.05 | – | – | – | Log-rank test |
Okamoto et al. [20] | 86 | I–IV | – | – | 0.31 | – | – | 0.61 | Log-rank test | |
Nam et al. [49] | 51 | I–IV | – | – | >0.05 | – | – | – | Log-rank test | |
Ikeguchi et al. [55] | 107 | I–IV | 2.017 | 1.098–3.703 | 0.024 | – | – | – | Cox proportional hazards model | |
Sun et al. [56] | 149 | I–IV | 1.698 | 1.054– | 0.03 | – | – | – | Cox proportional hazards model | |
Cheng et al. [57] | 119 | I–IV | 0.168 | 0.533–1.509 | 0.682 | – | – | – | Cox proportional hazards model | |
Fas | Chan et al. [60] | 58 | I–IV | 0.639 | 0.442–0.925 | <0.05 | – | – | – | Cox proportional hazards model |
Shibakita et al. [61] | 106 | I–IV | 3.26 | 1.32–8.07 | 0.0103 | – | – | – | Cox proportional hazards model | |
Chang et al. [62] | 118 | I–IV | – | – | >0.05 | – | – | – | Log-rank test | |
Takikita et al. [63] | 313 | I–IV | 0.79 | 0.49–1.27 | 0.32 | – | – | – | Cox proportional hazards model | |
Bax | Ikeguchi et al. [13] | 141 | I–IV | – | – | >0.05 | – | – | – | Cox proportional hazards model |
Guner et al. [45] | 53 | I–IV | 0.474 | 0.238–0.941 | 0.0328 | – | – | – | Cox proportional hazards model | |
Chang et al. [62] | 118 | I–IV | – | – | >0.05 | – | – | – | Cox proportional hazards model | |
Sturm et al. [64] | 53 | I–IV | 0.435 | 0.242–0.862 | 0.016 | – | – | – | Cox proportional hazards model | |
Kurabayashi et al. [65] | 76 | I–IV | – | – | <0.05 | – | – | – | Log-rank test | |
Natsugoe et al. [66] | 111 | II–IV | – | – | >0.05 | – | – | – | Log-rank test | |
Takayama et al. [67] | 86 | I–IV | 0.954 | 0.517–1.763 | 0.881 | – | – | – | Cox proportional hazards model | |
Matsumoto et al. [68] | 79 | – | – | – | >0.05 | – | – | – | Cox proportional hazards model | |
Sarbia et al. [69] | 172 | I–IV | – | – | >0.05 | – | – | – | Log-rank test | |
Bcl-2 | Guner et al. [45] | 53 | I–IV | 1.280 | 0.688–2.382 | 0.4364 | – | – | – | Cox proportional hazards model (univariate) |
Chang et al. [62] | 118 | I–IV | 0.529 | 0.387–0.978 | 0.042 | – | – | – | Cox proportional hazards model | |
Takikita et al. [63] | 313 | I–IV | 1.29 | 0.52–3.25 | 0.58 | – | – | – | Cox proportional hazards model | |
Kurabayashi et al. [65] | 76 | I–IV | – | – | >0.05 | – | – | – | Log-rank test | |
Takayama et al. [67] | 86 | I–IV | 1.506 | 0728–3.115 | 0.269 | – | – | – | Cox proportional hazards model | |
Bcl-x | Natsugoe et al. [66] | 111 | II–IV | – | – | >0.05 | – | – | – | Log-rank test |
Takayama et al. [67] | 86 | I–IV | 2.441 | 1.139–5.232 | 0.022 | – | – | – | Cox proportional hazards model | |
Matsumoto et al. [68] | 79 | – | – | – | 0.194 | – | – | – | Cox proportional hazards model | |
Torzewski et al. [70] | 172 | I–IV | – | – | >0.05 | – | – | – | Cox proportional hazards model | |
Caspase-3 | Jiang et al. [14] | 64 | I–III | – | – | 0.007 | – | – | – | Cox proportional hazards model |
Wang et al. [21] | 122 | – | 0.584 | 0.370–0.921 | 0.021 | – | – | – | Cox proportional hazards model | |
Chang et al. [62] | 118 | I–IV | – | – | >0.05 | – | – | – | Cox proportional hazards model | |
Kurabayashi et al. [65] | 76 | I–IV | – | – | >0.05 | – | – | – | Log-rank test | |