Chapter 2 - University of British Columbia

Figure 5.9
Survival Ratio
Survival Ratio
1
0.9
0.8
0.7
0.6
0.5
0.4
Duke H. Lee Mo�tt
LowExpression
HighExpression
0.3
p = 0.009
0.1
p = 0.009
0.2
0 5 10 15 20 25 30 35 40 45
0
0 20 40 60 80 100 120
Time (months)
Time
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
MSKCC
LowExpression
HighExpression
p = 0.150 p = 0.180
0
0 50 100 150 200 250
Time
Figure 5.9. Kaplan-Meier analysis of SIRPA in four independent microarray datasets.
Using publicly available gene expression microarray data, Kaplan-Meier analysis was
performed to assess the association of SIRPA expression levels and overall patient survival.
Briefly, for each dataset, samples were sorted based on ascending SIRPA expression and
survival distributions of the top 1/3 of samples expressing SIRPA and bottom 1/3 of samples
expression SIRPA were compared. In total, five datasets were tested with two of the datsets
(Duke, H. Lee Moffitt) showing a stastistically significant association. In an additional two
datasets (MSKCC, Michigan), the p-values were close to statistical significance. All expression
data were normalized using RMA. P-values were calculated using a Mantel-Cox log
rank test.
Survival Ratio
Survival Ratio
139
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
1
0.9
0.8
0.7
0.6
0.5
0.4
0.3
Michigan
LowExpression
HighExpression
LowExpression
HighExpression
0.2
0 20 40 60 80
Time
100 120 140 160