Table 1.
Demography of glioma patients in two different datasets used in this study, The Cancer Image Archive (TCIA) and National Cancer Center Hospital Japan (NCC). Each row represents the statistics or number of people assigned to each category for GBM and lower grade glioma patients. For genomic alterations, the number of people carrying IDH mutations, TERT promoter mutations, chr 1p19q codeletions, and higher levels of MGMT promoter methylation was separated from those of others via slash.
| TCIA | NCC | |||
|---|---|---|---|---|
| GBM | LGG | GBM | LwGG | |
| Total | 102 | 65 | 90 | 76 |
| Age (average) | 57.5 | 44.0 | 61.9 | 45.5 |
| Gender (F/M) | 32/55 | 38/27 | 39/51 | 29/47 |
| KPS (average) | 80.4 | 90.0 | 76.6 | 86.7 |
| IDH mut vs wt | 4/66 | 53/11 | 6/84 | 52/22 |
| TERT mut vs wt | 3/1 | 21/40 | 55/35 | 33/43 |
| chr1p19q codel | 0/83 | 13/52 | 2/48 | 25/50 |
| MGMT met H vs L | 20/29 | 52/13 | 34/56 | 46/30 |
The data provided by Arita et al., which consisted of IDH1/2 mutations, codeletion of chromosome 1p and 19q (1p19q codeletion), TERT promoter mutations, and MGMT methylation, were used to represent the genomic and epigenomic features of the NCC dataset [7]. All values were binarized according to a previous study.