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 | Univariate analysis | Multivariate analysis | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Age at diagnosis (≥ 60 vs < 60) | 1.373 (0.948-1.988) | 0.094 | 1.642 (1.122-2.401) | 0.011a |
Pathologic stage (III + IV vs I + II) | 1.825 (1.332-2.499) | < 0.001a | 1.252 (0.812-1.929) | 0.309 |
T stage (T3 + T4 vs T1 + T2) | 1.864 (1.197-2.902) | 0.006a | 1.623 (1.012-2.603) | 0.044a |
N stage (N1-2 vs N0) | 2.005 (1.328-3.026) | 0.001a | 1.602 (0.935-2.744) | 0.086 |
M stage (M1 vs M0) | 1.368 (0.964-1.941) | 0.080 | 1.313 (0.919-1.875) | 0.134 |
Three-DEM signature (high vs low risk) | 1.442 (1.018-1.988) | 0.039a | 1.451 (1.033-2.040) | 0.032a |
- 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