Identification of Prognostic Markers for Head and NeckSquamous Cell Carcinoma Based on Glycolysis-Related Genes

Table 1

Univariate Cox regression analysis of 20 glycolysis-related DEGs in TCGA-training set.

Id	HR	HR.95L	HR.95H	value
ADH1B	0.95880947	0.698532024	1.316067937	0.794627984
ADH1C	0.992516531	0.976875575	1.008407918	0.354002802
ADH7	1.003527529	0.998519769	1.008560403	0.167709269
AGRN	1.000417439	0.995546788	1.00531192	0.866894449
ALDH3A1	1.000187007	0.99904975	1.001325559	0.747348382
ALDH9A1	0.995777718	0.981703298	1.01005392	0.560173636
ARTN	1.004851119	0.975590593	1.034989246	0.74823725
AURKA	1.023682341	0.99982915	1.048104603	0.05168357
CAPN5	1.011790392	0.919855881	1.11291325	0.809425046
CDK1	0.993148111	0.97395806	1.012716266	0.489785082
CENPA	1.014112882	0.966000828	1.064621177	0.57199465
CHPF	1.002554489	0.997355603	1.007780476	0.336169621
CHST2	1.006487836	0.995794942	1.017295551	0.235348089
COL5A1	0.999960883	0.996736632	1.003195563	0.981060039
DDIT4	1.000084304	0.998404999	1.001766434	0.921681662
ELF3	0.991125876	0.982767465	0.999555376	0.039123533
ENO2	1.004596293	0.989552668	1.019868619	0.551376673
ENO3	1.003445564	0.997299719	1.009629283	0.27249397
EXT1	1.001927423	0.982155136	1.022097756	0.849818487
FBP2	1.006933545	0.921785842	1.099946557	0.878177364