Copyright
©The Author(s) 2018.
World J Gastroenterol. Mar 21, 2018; 24(11): 1206-1215
Published online Mar 21, 2018. doi: 10.3748/wjg.v24.i11.1206
Published online Mar 21, 2018. doi: 10.3748/wjg.v24.i11.1206
Variables | Case, n (%) |
Age at diagnosis (yr) | |
< 60 | 113 (31.3) |
≥ 60 | 248 (68.7) |
Gender | |
Male | 241 (66.8) |
Female | 120 (33.2) |
T stage | |
T1 + T2 | 88 (24.4) |
T3 + T4 | 273 (75.6) |
Histologic grade | |
G1 + G2 | 134 (37.1) |
G3 + G4 | 227 (62.9) |
Race | |
White | 234 (64.8) |
Asian | 83 (23.0) |
Black or African American | 12 (3.3) |
NA | 32 (8.9) |
Pathologic stage | |
I | 44 (12.2) |
II | 117 (32.4) |
III | 162 (44.9) |
IV | 30 (8.3) |
NA | 8 (2.2) |
Node status | |
N0 | 111 (30.7) |
N1-3 | 249 (69.0) |
NA | 1 (0.3) |
Metastasis | |
M0 | 325 (90.0) |
M1 | 22 (6.1) |
Mx | 14 (3.9) |
- Citation: Zhang C, Zhang CD, Ma MH, Dai DQ. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients. World J Gastroenterol 2018; 24(11): 1206-1215
- URL: https://www.wjgnet.com/1007-9327/full/v24/i11/1206.htm
- DOI: https://dx.doi.org/10.3748/wjg.v24.i11.1206