Table 1.
Variable | nonRC, N = 48a | RC, N = 25a | Unknown, N = 7a | P-valueb |
---|---|---|---|---|
Sex | 0.4 | |||
F | 6 (12%) | 1 (4.0%) | 1 (14%) | |
M | 42 (88%) | 24 (96%) | 6 (86%) | |
Age | 62 (51, 70) | 66 (51, 74) | 75 (64, 77) | 0.14 |
TNM stage | 0.2 | |||
0 | 1 (2.1%) | 0 (0%) | 0 (0%) | |
I | 4 (8.3%) | 2 (8.0%) | 1 (14%) | |
IIA | 19 (40%) | 5 (20%) | 1 (14%) | |
IIB | 1 (2.1%) | 0 (0%) | 0 (0%) | |
IIC | 1 (2.1%) | 0 (0%) | 0 (0%) | |
IIIA | 3 (6.2%) | 0 (0%) | 0 (0%) | |
IIIB | 17 (35%) | 11 (44%) | 4 (57%) | |
IIIC | 2 (4.2%) | 7 (28%) | 1 (14%) | |
MSI | 0.045 | |||
MSI-H | 9 (19%) | 0 (0%) | 1 (14%) | |
MSS | 39 (81%) | 25 (100%) | 6 (86%) |
an(%); Median (IQR)
bFor dichotomous variables (ex. Sex, MSI), Fisher’s exact test was used, while for variables with more than two groups such as Age, TNM stage, Kruskal–Wallis rank sum test was employed