Table 2 Tissue predictions based on original dataa
|
BR |
PR |
LG |
COR |
LMA |
MEL |
BL |
UT |
LEU |
REN |
PAN |
OV |
MES |
CNS |
|
|
| BR |
88 |
|
12 |
|
|
|
|
|
|
|
|
|
|
|
BR |
| PR |
|
89 |
|
|
|
|
|
11 |
|
|
|
|
|
|
PR |
| LG |
12 |
|
75 |
13 |
|
|
|
|
|
|
|
|
|
|
LG |
| COR |
40 |
|
|
40 |
|
|
|
20 |
|
|
|
|
|
|
CO |
| LMA |
|
|
|
|
100 |
|
|
|
|
|
|
|
|
|
LY |
| MEL |
|
|
|
|
|
100 |
|
|
|
|
|
|
|
|
ME |
| BL |
|
|
|
|
|
|
86 |
14 |
|
|
|
|
|
|
BL |
| UT |
|
|
|
|
|
|
|
100 |
|
|
|
|
|
|
UT |
| LEU |
|
|
|
|
|
|
|
|
100 |
|
|
|
|
|
LE |
| REN |
|
|
|
|
|
17 |
|
16 |
|
67 |
|
|
|
|
RE |
| PAN |
|
|
20 |
|
|
|
|
|
|
|
60 |
|
20 |
|
PA |
| OV |
|
|
|
|
|
|
|
|
|
30 |
|
30 |
30 |
|
OV |
| MES |
|
|
|
|
|
|
|
25 |
|
|
|
|
75 |
|
MS |
| CNS |
|
|
|
|
|
|
|
|
|
|
|
|
|
100 |
CS |
|
BR |
PR |
LG |
COR |
LMA |
MEL |
BL |
UT |
LEU |
REN |
PAN |
OV |
MES |
CNS |
|
a BR, breast adenocarcinoma (n = 11, 3); PR, prostate adenocarcinoma (n = 10, 1); LG, lung adenocarcinoma (n = 11, 3); COR, colorectal adenocarcinoma (n = 11, 6); LMA, lymphoma (n = 22, 0); MEL, melanoma (n = 10, 2); BL, bladder cell transitional carcinoma (n = 11, 4); UT, uterine adenocarcinoma (n = 10, 2); LEU, leukemia (n = 30, 0); REN, renal cell adenocarcinoma (n = 11, 5); PAN, pancreatic adenocarcinoma (n = 11, 6); OV, ovarian adenocarcinoma (n = 11, 8); MES, pleural mesothelioma (n = 11, 3); CNS (n = 20, 0). Numbers in parentheses refer to the total number of tissues samples in each tumor class and the number of unclassifiable tissues in each class, respectively.