Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma

Table 2

The correlations of key genes with biomarkers of immune cells and hypoxic signature (CD11B and CD33 for MDSCs, CD34 and CD117 for HSCs, CD31 and CD105 for ECs, and HIF1A and VEGFA for hypoxia). R: Spearman correlation coefficient from the GEPIA database.

Gene	HIF1A		VEGFA		CD11B		CD33		CD34		CD117		CD31		CD105
	R	value	R	value	R	value	R	value	R	value	R	value	R	value	R	value
ASPM	0.36	4.60-13	0.43	2.00-18	0.22	1.40-05	0.16	2.10-03	0.033	5.20-01	0.2	7.80-05	0.08	1.20-01	-0.20	1.30-04
CCNB1	0.30	3.70-09	0.33	5.60-11	0.27	8.70-08	0.23	1.10-05	-0.07	1.80-01	0.12	2.40-02	-0.02	6.90-01	-0.28	4.80-08
CDK1	0.37	1.40-13	0.44	1.10-18	0.26	2.40-07	0.18	6.60-04	-0.01	8.80-01	0.21	5.40-05	0.05	3.30-01	-0.23	5.60-06
DTL	0.45	9.00-20	0.50	2.50-24	0.35	2.10-12	0.15	4.40-03	0.05	3.10-01	0.22	1.70-05	0.11	3.20-02	-0.15	1.10-03
ECT2	0.58	2.90-34	0.57	3.40-33	0.40	8.20-16	0.22	1.60-05	0.09	7.40-02	0.34	2.20-11	0.19	3.00-04	-0.08	1.10-01
KIF20A	0.40	9.00-16	0.46	6.50-21	0.31	2.00-09	0.17	1.20-03	0.01	9.10-01	0.24	2.30-06	0.06	2.10-01	-0.21	5.40-05
NDC80	0.33	4.20-11	0.40	5.60-16	0.30	2.40-09	0.22	1.70-05	-0.03	5.60-01	0.14	6.10-03	0.02	7.10-01	-0.23	8.00-06
PBK	0.42	2.60-17	0.42	2.80-17	0.30	6.80-09	0.16	1.80-03	0.06	2.50-01	0.23	1.10-05	0.12	1.90-02	-0.17	1.40-03
PRC1	0.34	2.10-11	0.46	4.60-21	0.28	3.50-08	0.16	1.60-03	-0.03	5.70-01	0.17	1.00-03	0.017	7.50-01	-0.22	1.80-05
RRM2	0.43	1.20-17	0.45	1.40-19	0.37	1.10-13	0.24	4.50-06	0.04	4.90-01	0.22	2.90-05	0.14	7.10-03	-0.19	3.10-04
TOP2A	0.17	9.40-04	0.29	1.50-08	0.21	5.80-05	0.19	3.50-04	-0.15	3.30-03	0.03	5.70-01	-0.13	1.10-02	-0.34	2.20-11