Table 1 |
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|
Associations with the survival outcome using different clinical, molecular, and computational methods (Schmidt et al. dataset [37]). |
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|
Parameter |
Size of patient groups |
logrank p-value |
|||
|
|
|||||
|
poor survival |
favorable survival |
||||
|
|
|||||
|
Clinical |
Tumor size (≤ 2 cm, >2 cm) |
88 |
112 |
0.17 |
|
|
|
|||||
|
Tumor grade (G1, G2/G3) |
165 |
35 |
3.7 × 10-3 |
||
|
|
|||||
|
Molecular |
ER status |
38 |
162 |
0.12 |
|
|
|
|||||
|
AURKA expression |
<, > median |
100 |
100 |
4.1 × 10-3 |
|
|
|
|||||
|
k-Means (k = 2) |
62 |
138 |
8.7 × 10-5 |
||
|
|
|||||
|
Computational |
Hierarchical clustering |
Pearson correlation |
71 |
129 |
0.16 |
|
|
|||||
|
Euclidean distance |
18 |
182 |
0.037 |
||
|
|
|||||
|
k-Means clustering |
64 |
136 |
0.043 |
||
|
|
|||||
|
DCIM |
65 |
135 |
5.1 × 10-5 |
||
|
|
|||||
|
Freudenberg et al. BMC Bioinformatics 2010 11:234 doi:10.1186/1471-2105-11-234 |
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