From: Novel models by machine learning to predict prognosis of breast cancer brain metastases
Characteristic | Â | Cases | % |
---|---|---|---|
Age at diagnosis |  < 40 | 141 | 7.29 |
40–49 | 251 | 12.98 | |
50–59 | 529 | 27.37 | |
60–69 | 576 | 29.80 | |
70–79 | 307 | 15.88 | |
80 +  | 129 | 6.67 | |
Months from diagnosis to therapy | 0Â month | 877 | 45.37 |
 ≥ 1 month | 739 | 38.23 | |
Unknown | 317 | 16.40 | |
Subtype | HR + /HER2− | 717 | 37.09 |
HR + /HER2 +  | 308 | 15.93 | |
HR−/HER2 +  | 239 | 12.36 | |
HR−/HER2− | 333 | 17.23 | |
Unknown | 336 | 17.38 | |
Race | White | 1447 | 74.86 |
Black | 307 | 15.88 | |
Other | 179 | 9.26 | |
Histological type | IDC | 1259 | 65.13 |
ILC | 97 | 5.02 | |
Mixed | 70 | 3.62 | |
Other | 507 | 26.23 | |
Marital status | Married | 790 | 40.87 |
Singled | 495 | 25.61 | |
Widow/divorced/other | 648 | 33.52 | |
T Stage | T1 | 196 | 10.14 |
T2 | 412 | 21.31 | |
T3 | 248 | 12.83 | |
T4 | 640 | 33.11 | |
Unknown | 437 | 22.61 | |
N Stage | N0 | 378 | 19.56 |
N1 | 802 | 41.49 | |
N2 | 171 | 8.85 | |
N3 | 280 | 14.49 | |
Unknown | 302 | 15.62 | |
Grade | Well differentiated | 67 | 3.47 |
Moderate differentiated | 448 | 23.18 | |
Poorly differentiated | 756 | 39.11 | |
Unknown | 662 | 34.25 | |
Median household income(inflation adjusted) | < 40,000$ | 104 | 5.38 |
40,000–49,999$ | 219 | 11.33 | |
50,000–59,999$ | 292 | 15.11 | |
60,000–69,999$ | 642 | 33.21 | |
70,000$ +  | 676 | 34.97 | |
Chemotherapy | No/unknown | 878 | 45.42 |
Yes | 1055 | 54.58 | |
Radiotherapy | No/unknown | 757 | 39.16 |
Yes | 1176 | 60.84 | |
Surgery | No/unknown | 1699 | 87.89 |
Yes | 234 | 12.11 | |
Bone metastases | No/unknown | 680 | 35.18 |
Yes | 1253 | 64.82 | |
Liver metastases | No/unknown | 1289 | 66.68 |
Yes | 644 | 33.32 | |
Lung metastases | No/unknown | 1092 | 56.49 |
Yes | 841 | 43.51 | |
Distant lymph nodes metastases | No/unknown | 1649 | 85.31 |
Yes | 284 | 14.69 | |
Distant other metastases | No/unknown | 1720 | 88.98 |
Yes | 213 | 11.02 |