Number of genes

Accuracy
(%)

Sensitivity
(%)

Specificity
(%)

Gene names

24

57

67

43

CX3CR1, RASSF4, LOC205251, RPS19, NDUFB2, CD52, NDUFAB1, NME2, C22orf32, RARRES3, RPS28, CA1, hCG_16001, FBL, WDR61, RNH1, RPS13, AHNAK, EIF3K, RPL22, RPLP2, PANK4, AKR1A1, SSR4

12

66

81

43

CX3CR1, RASSF4, LOC205251, RPS19, NDUFB2, CD52, NDUFAB1, NME2, C22orf32, RARRES3, RPS28, CA1

8

66

86

36

CX3CR1, RASSF4, LOC205251, RPS19, NDUFB2, CD52, NDUFAB1, NME2

4

60

86

21

CX3CR1, RASSF4, LOC205251, RPS19

1

60

90

14

CX3CR1
Values are from PAM software using microarrays data from 35 CA patients. Classification was based on the dichotomy favorable outcome vs. poor outcome.
Table 2: Prediction capacities of groups of genes.