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31 August 2020: Database Analysis

, , and are Prognostic Biomarkers and Correlated with Immune Infiltration in Hepatocellular Carcinoma

Yiping Zou 12CE* , Shiye Ruan 1CD* , Liang Jin 1C , Zhihong Chen 1BF , Hongwei Han 1DF , Yuanpeng Zhang 1F , Zhixiang Jian 1G , Ye Lin 1D , Ning Shi 1AE* , Haosheng Jin 1AG*

DOI: 10.12659/MSM.925289

Med Sci Monit 2020; 26:e925289

Table 2 Correlation analysis between CDK1, CCNB1, CCNB2, and related immune markers.

DescriptionGene markerCKD1CCNB1CCNB2
CorPCorPCorP
TAM0.143** 0.107* 0.166**
0.324*** 0.34*** 0.3***
0.329*** 0.339*** 0.344***
Monocyte0.438*** 0.438*** 0.461***
0.27*** 0.274*** 0.288***
M1 Macrophage−0.0150.776−0.0190.728−0.0080.880
0.0840.1190.0790.1440.10.063
M2 Macrophage0.17** 0.159** 0.156**
0.191*** 0.181*** 0.177***
0.27*** 0.274** 0.288**
DCs0.465*** 0.442*** 0.434***
0.219*** 0.188*** 0.229***
0.266*** 0.208*** 0.217***
Neutrophils0.226*** 0.143** 0.205***
0.359*** 0.383*** 0.361***
0.0850.1140.0690.20.0660.221
Th10.326*** 0.271*** 0.31***
0.42*** 0.413*** 0.41***
0.184*** 0.121* 0.185***
0.308*** 0.267*** 0.325***
0.35*** 0.334*** 0.151**
Th20.336*** 0.281*** 0.351***
0.106* 0.0550.3060.0410.443
0.453*** 0.387*** 0.433***
0.295*** 0.245*** 0.256***
Treg0.239*** 0.212*** 0.24***
0.484*** 0.444*** 0.452***
0.236*** 0.179*** 0.189***
0.379*** 0.378*** 0.394***
NKs0.0210.704−0.0180.7350.0210.700
−0.0520.332−0.050.355−0.0470.389
0.0660.2180.030.5800.0410.449
B cell0.349*** 0.289*** 0.348***
0.27*** 0.216** 0.29***
0.178*** 0.219*** 0.204***
T-cell exhaustion0.433*** 0.398*** 0.457***
0.475*** 0.427*** 0.455***
0.457*** 0.454*** 0.464***
0.339*** 0.332*** 0.401***
0.165** 0.135* 0.186***
PDL10.284*** 0.257*** 0.245***
*
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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750