Table 3 Comparison of patient characteristics between TCGA training and testing cohorts
From: A deep learning model to predict glioma recurrence using integrated genomic and clinical data
| Â | Training (133) | Testing (29) | p-value | |
|---|---|---|---|---|
Recurrence outcome [n] | Late | 75 | 17 | 1.0 |
Early | 58 | 12 | ||
Tumor grade [n] | Grade 2 | 51 | 11 | 0.955 |
Grade 3 | 62 | 13 | ||
Grade 4 | 20 | 5 | ||
Race [n]a | White | 121 | 28 | 0.872 |
African American or Black | 8 | 1 | ||
American Indian or Alaska Native | 2 | 0 | ||
Asian | 1 | 0 | ||
Hispanic or Latino [n]a | No | 119 | 27 | 0.73 |
Yes | 4 | 1 | ||
Histology [n]b | Astrocytoma | 59 | 14 | 0.903 |
Glioblastoma | 46 | 8 | ||
Oligodendroglioma | 19 | 5 | ||
Astrocytoma wildtype | 9 | 2 | ||
IDH & 1p19q codeletion status [n] | IDH-mutant, non-codeleted | 59 | 14 | 0.778 |
IDH-wildtype | 55 | 10 | ||
IDH-mutant, codeleted | 19 | 5 | ||
Vital status [n] | Deceased | 80 | 17 | 1.0 |
Alive | 53 | 12 | ||
Days to recurrence | Median | 427.0 | 468.0 | 0.585 |
IQR | 622.0 | 545.0 | ||
Age [yr] | Median | 47 | 39 | 0.191 |
IQR | 22.0 | 28.0 | ||