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©The Author(s) 2020.
World J Gastroenterol. Feb 28, 2020; 26(8): 789-803
Published online Feb 28, 2020. doi: 10.3748/wjg.v26.i8.789
Published online Feb 28, 2020. doi: 10.3748/wjg.v26.i8.789
Table 1 Genes with significant prognostic value in hepatocellular carcinoma identified in both The Cancer Genome Atlas and Integrative Molecular Database of Hepatocellular Carcinoma
Times of gene verification by HCC cohorts from HCCDB | Down-regulated gene in low score group | Up-regulated gene in low score group |
2 | MS4A1, KLRB1, ITK, GZMH, ADH1C, UGT2B15, GPR171, CD40LG, CD5, FBLN2, CCL21, ATP2A3, IL16, ELN | |
1 | SELL, CD5L, KLRK1, CXCR6, TRAF3IP3, CD79A, FLT3, GZMA, SPN, PRKCQ, SIDT1, RERGL, INMT, C11orf21, ZAP70, FLI1, DOK5, ITM2A, PHLDA3, APLNR, CFHR3, NLRC3, GIMAP1, FBLN5, DARC, SLFN12L, RASGRP2, SELP, ACAP1, C7, HTR2B, TNXB, SAMD3, PDZD4 | CTSL2, MFAP2, TMC5, BACE2 |
Table 2 Top 10 genes predicting overall survival screened by lasso regression in hepatocellular carcinoma cohort from The Cancer Genome Atlas
Gene | Univariate Cox regression analysis | LASSO coefficient | ||
HR | 95%CI | P value | ||
NLRC3 | 0.72 | 0.60-0.87 | 0.0008 | -0.0780 |
CFHR3 | 0.89 | 0.84-0.94 | 0.0001 | -0.0375 |
KLRB1 | 0.84 | 0.76-0.93 | 0.0008 | -0.0276 |
CTSL2 | 1.13 | 1.05-1.21 | 0.0005 | 0.0173 |
ADH1C | 0.91 | 0.87-0.96 | 0.0002 | -0.0149 |
CD5L | 0.90 | 0.85-0.95 | 0.0004 | -0.0131 |
TMC5 | 1.06 | 1.01-1.12 | 0.0255 | 0.0106 |
DOK5 | 0.84 | 0.75-0.95 | 0.0041 | -0.0082 |
UGT2B15 | 0.91 | 0.86-0.96 | 0.0007 | -0.0072 |
RASGRP2 | 0.82 | 0.72-0.93 | 0.0016 | -0.0062 |
Table 3 Univariate and multivariate Cox regression analyese of prognostic factors and overall survival of patients with hepatocellular carcinoma from The Cancer Genome Atlas database
Variable | Univariate analysis | Multivariate analysis | ||||
HR | 95%CI | P value | HR | 95%CI | P value | |
Risk score | 11.37 | 5.49-23.56 | < 0.001 | 8.99 | 2.53-32.01 | 0.001 |
TNM stage | 1.79 | 1.45-2.22 | < 0.001 | 1.24 | 0.89-1.75 | 0.209 |
Age | 1.01 | 0.99-1.02 | 0.254 | |||
Gender | 0.79 | 0.55-1.13 | 0.192 | |||
Race | 1.13 | 0.94-1.37 | 0.196 | |||
Child-Pugh score | 1.69 | 0.93-3.07 | 0.084 | |||
ECGO performance status | 2.41 | 1.91-3.04 | < 0.001 | 1.74 | 1.16-2.63 | 0.008 |
AFP | 1 | 1-1 | 0.443 | |||
Fibrosis ishak score | 0.91 | 0.78-1.07 | 0.253 | |||
Histologic grade | 1.1 | 0.86-1.4 | 0.445 | |||
Vascular invasion | 1.47 | 1.06-2.06 | 0.022 | 1.16 | 0.75-1.79 | 0.511 |
Hepatitis virus infection | 0.45 | 0.3-0.68 | < 0.001 | 0.81 | 0.45-1.46 | 0.477 |
Alcohol consumption | 1.1 | 0.75-1.62 | 0.616 |
- Citation: Pan L, Fang J, Chen MY, Zhai ST, Zhang B, Jiang ZY, Juengpanich S, Wang YF, Cai XJ. Promising key genes associated with tumor microenvironments and prognosis of hepatocellular carcinoma. World J Gastroenterol 2020; 26(8): 789-803
- URL: https://www.wjgnet.com/1007-9327/full/v26/i8/789.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i8.789