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. Author manuscript; available in PMC: 2018 Sep 14.
Published in final edited form as: Nature. 2017 Nov 8;551(7681):517–520. doi: 10.1038/nature24473

Extended Data Table 2 |. Ranking of fitness models disregarding subclonal composition of tumors.

Fitness models from Extended Data Table 1 evaluated without accounting for subclonal composition of tumors on the same three cohorts, Van Allen et al. (n=103), Snyder et al. (n=64) and Rizvi et al. (n=34). As in Extended Data Table 1, we report parameters used for predictions and error bars for these parameters (Methods). Parameter 𝜏 is not a free parameter when disregarding subclonal composition of tumors (Methods) and is not reported. We report log-rank test scores for all models and the log-rank test p-value for models with significant patient segregation (p<0.05). The significant models are highlighted: yellow for models significant in a single cohort, orange for models significant across two cohorts, and red for models significant in all three cohorts.

Van Allen et al.,
Melanoma anti-CTLA-4
Parameters trained on
Snyder et al. dataset
Log-rank test

Models a
k
Score
Significance Equation
Mean Std Mean Std Mean Std

Ax R 18.5 ±0.152 0.59845 ±0.001 0.61 ±0.24 (2)
Partial models:
A - - - - 0.05 ±0.03 (12)
R 18.2 ±2.995 4.54981 ±0.001 0.2 ±0.03 (13)
1/kdMxR 26.6 ±1.609 1.34421 ±0.001 1.41 ±0.61 (14)
1/kdM - - - - 0.69 ±0.23 (14)
kdWxR 23.7 ±2.593 3.83397 ±0.001 1.35 ±0.34 (15)
kdW _ _ _ _ 0.46 ±0.2 (15)
Alternative models:
Neoantigen load _ _ _ _ 0.24 ±0.12 (17)
A x R, sum over neoantigens 25.1 ±3.308 4.89176 ±0.001 1.57 ±0.39 (16)
Ax R, alignments at positions 3–8 21.9 ±2.871 3.1276 ±0.001 0.35 ±0.36 (2)
Ax R, negative IED3 assays 14.4 ±2.58 2.20223 ±0.001 0.04 ±0.03 (2)
A x R, all neoantigens 29.2 ±2.892 3.88642 ±0.001 0.24 ±0.19 (2)

Snyder et al.,
Melanoma anti-CTLA-4
Parameters trained on
Van Allen et al. dataset
Log-rank test

Models a
k
Score
Significance Equation
Mean Std Mean Std Mean Std

Ax R 26.4 ±0.892 1.0851 ±0.001 6.55 ±0.9 0.01047 * (2)
Partial models:
A - - - - 4.44 ±0.68 0.03507 * (12)
R 29.7 ±4.829 2.51962 ±0.001 1.26 ±0.34 (13)
1/kdM x R 26 ±1.929 0.82074 ±0.001 3.65 ±0.81 (14)
1/kdM _ _ _ _ 3.44 ±0.61 (14)
kdWxR 26.9 ±2.735 3.73387 ±0.001 1.67 ±0.22 (15)
kdW - - - - 3.11 ±0.75 (15)
Alternative models:
Neoantigen load - - - - 0.42 ±0.21 (17)
A x R, sum over neoantigens 27 ±3.005 5.08369 ±0.001 1.63 ±0.53 (16)
Ax R, alignments at positions 3–8 30 ±4.023 1.35553 ±0.001 2.73 ±0.65 (2)
Ax R, negative IED3 assays 36 ±9.57 10.1531 ±0.001 0.23 ±0.65 (2)
Ax R, all neoantigens 26 ±1.95 5.22216 ±0.001 0.59 ±0.92 (2)

Rizvi et al.,
Lung anti-PD-1
Parameters trained on
Van Allen et al. and Snyder et al.
datasets
Log-rank test

Models a
k
Score
Significance Equation
Mean Std Mean Std Mean Std

Ax R 27 ±0.787 1.00032 ±0.001 6.48 ±1.14 0.01088 * (2)
Partial models:
A - - - - 4.65 ±1.17 0.03099 * (12)
R 19.6 ±3.355 4.29127 ±0.001 1.53 ±0.29 (13)
1/kdM x R 21 ±2.027 0.53498 ±0.001 0.02 ±0.07 (14)
1/kdM - - - - 0.17 ±0.13 (14)
kdWxR 23 ±2.737 5.37707 ±0.001 10.48 ±1.71 0.00121 *** (15)
kdW - - - - 4.49 ±0.75 0.03416 * (15)
Alternative models:
Neoantigen load - - - - 4.93 ±1.15 0.02639 * (17)
A x R, sum over neoantigens 25 ±4.316 4.03113 ±0.001 3.09 ±1.09 (16)
Ax R, alignments at positions 3–8 22 ±3.042 5.2228 ±0.001 2.3 ±0.82 (2)
Ax R, negative IED3 assays 14.5 ±2.806 1.90577 ±0.001 1 ±0.45 (2)
Ax R, all neoantigens 29 ±4.469 1.87092 ±0.001 0.75 ±0.62 (2)