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. 2022 Apr 18;14(8):2045. doi: 10.3390/cancers14082045

Table 2.

Performance of the 7-Gene Algorithm and clinicopathological factors for distinguishing progression and non-progression after treatment in the MSK cohort (n = 471) and the TCGA progression cohort (n = 191).

Sensitivity
(95% CI)
Specificity
(95% CI)
PPV
(95% CI)
NPV
(95% CI)
Prediction of Progression in the MSK Cohort (n = 471)
7-Gene Algorithm 83% (68–98%) 98% (97–100%) 74% (58–91%) 99% (98–100%)
Cancer stage 0% (0–0%) 100% (100–100%) 0% (0–0%) 95% (93–97%)
Adjuvant therapies 0% (0–0%) 100% (100–100%) 0% (0–0%) 95% (93–97%)
Surgery on primary tumor 0% (0–0%) 100% (100–100%) 0% (0–0%) 95% (93–97%)
MSI 0% (0–0%) 100% (100–100%) 0% (0–0%) 95% (93–97%)
Combination 83% (68–98%) 99% (97–100%) 77% (61–93%) 99% (98–100%)
Prediction of Progression in the TCGA Progression Cohort (n = 191)
7-Gene Algorithm 96% (93–99%) 77% (62–92%) 96% (93–99%) 79% (65–94%)
Cancer stage 100% (100–100%) 0% (0–0%) 85% (79–89%) 0% (0–0%)
Adjuvant therapies 100% (100–100%) 0% (0–0%) 84% (79–89%) 0% (0–0%)
Combination 96% (93–99%) 77% (62–92%) 96% (93–99%) 79% (65–94%)

CI: confidence interval; PPV: positive predictive value; NPV: negative predictive value; MSI: microsatellite instability.