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Fig. 2 | World Journal of Surgical Oncology

Fig. 2

From: A risk stratification model based on four novel biomarkers predicts prognosis for patients with renal cell carcinoma

Fig. 2

Cancer-specific survival (CSS) rates of the groups categorized by expression levels of a ARL4C, b ECT2, c SOD2, and d STEAP3 in a cohort of 97 patients with RCC. The high-expression groups were associated with significantly shorter CSS than the low-expression groups for each individual biomarker (log rank test, a p < 0.001, chi-square value = 28.11, b p = 0.023, chi-square value = 5.18, c p = 0.005, chi-square value = 8.02, d p < 0.001, chi-square value = 24.35). e The patients were divided into high- and low-risk scored groups under our model of risk stratification by setting the cut-off value to 4 points; high- (> 4) risk scored groups had significantly shorter survival than low- (≤ 4) risk scored groups (e log-rank test, p < 0.001, chi-square value =22.34). The latter had better prognosis without disease-specific death. f The cut-off value was shifted to 11 points; the high- (> 11) risk scored group now encompasses patients with a worse prognoses and likely demise within 5 years (f log-rank test, p < 0.001, chi-square value = 34.24)

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