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. 2017 May 31;4(2):303–323.e1. doi: 10.1016/j.jcmgh.2017.05.004

Table 4.

Consistently Down-Regulated Genes Associated With Hepatocyte Metabolic Functions Correlate With Expression of Progression Markers and Predict Survival Outcome in HCC Patients

Metabolic process Gene symbol # of datasets Expression Correlationa
Predicts overall survivalb
CDH1 VIM
Xenobiotics CYP4A11 7 Down c .0001
CYP4F3 8 Down c c .0007
CYP3A4 7 Down c .001
CYP2J2 7 Down c .0012
HSD17B6 8 Down c .0018
CYP2C8 8 Down c .0022
▪SRD5A1 7 Down c .0038
CYP2A6 7 Down c .0051
HSD11B1 7 Down c .0307
CYP2A7 6 Down .0346
CYP3A43 7 Down c <.0001
Detoxification ▪FMO4 6 Down c .0011
▪EPHX2 7 Down c c .0032
▪TPMT 8 Down c .0032
CAT 7 Down c .0053
FMO3 6 Down c .0065
Urea cycle OTC 7 Down c .0055
ASL 6 Down c c .0074
CPS1 7 Down c .011
Redox ▪FDX1 7 Down c .0081
▪DHRS12 6 Down c .0141
▪DHTKD1 6 Down c .0167
▪DHRS1 7 Down c <.0001
CYB5A 8 Down c .0026
Glutathione ▪HAGH 7 Down c .0015
▪MGST2 6 Down c .0493
Fatty acid ACOX2 7 Down c .0003
▪ECHDC2 8 Down c .0004
▪ACADM 7 Down c .0007
▪ACBD4 8 Down c .0012
▪FAAH 6 Down c .0015
▪ACAA2 7 Down c .0018
▪ACSM3 7 Down c .002
▪PECR 6 Down c .0022
▪ETFDH 8 Down c .0028
▪ACSM5 7 Down c .0104
EHHADH 7 Down c .0115
ACADVL 6 Down .0127
MTTP 6 Down c .0134
▪ACADSB 8 Down c .0212
▪SCP2 8 Down c .0227
▪HADH 7 Down c .0228
▪ACAT1 8 Down .0264
▪PHYH 7 Down c c .0302
▪ACSL3 6 Up .0426
▪MLYCD 8 Down c <.0001
Gluconeogenesis G6PC 6 Down c c .0015
PCK1 7 Down c .0245
PCK2 7 Down c <.0001
FBP1 7 Down c .0013
Ketogenesis ▪BDH1 7 Down c .0082
Amino acid GCDH 8 Down c .0005
▪PIPOX 7 Down c .0007
▪AGXT 8 Down c .0011
CDO1 7 Down c .0014
▪FAHD2A 8 Down .0015
▪AASS 7 Down c .0018
FTCD 7 Down c .002
ADI1 6 Down c .0029
DAO 6 Down c .0038
CTH 7 Down c .0039
▪HAAO 7 Down c .0039
HPD 7 Down c .0052
HGD 7 Down c .0052
BHMT 7 Down c .0057d
SARDH 8 Down c .0079
▪BCKDHA 7 Down .0081
MSRA 8 Down .0086
▪HIBCH 7 Down c .009
▪BHMT2 6 Down c .0128
▪BCKDHB 8 Down c .0135
CBS 8 Down c .0141d
MAT1A 8 Down c .0167d
PAH 7 Down c .0205
▪THNSL1 6 Down c .0256
FAH 7 Down c .0444
SUOX 7 Down c <.0001
▪ALDH18A1 7 Up c .02
▪ASNS 7 Up c .0103d
ABC transporter ▪ABCA6 7 Down c .0015
▪ABCC6 8 Down c c .0106
Ion transport KCNJ8 7 Down c .0109
CNGA1 7 Down c c .0002
▪ATP1B3 7 Up c .0008
▪P2RX4 7 Up c .0466
▪SLC39A1 7 Up .0235
CLIC1 8 Up c <.0001
S.M. transport SLC25A15 7 Down c c .0003
SLC27A5 7 Down c .0003
▪SLC16A2 8 Down c .0007
▪SLC25A20 8 Down c .001
▪AQP7 7 Down .0013
▪SLC6A12 7 Down c .0015
▪STARD5 8 Down .0023
▪SLCO2B1 7 Down c .0042
▪SLC46A3 8 Down .0057
▪SLC1A1 6 Down c .0266
▪SLC27A2 8 Down c .0421
▪SLC47A1 7 Down c .0467
SLC38A4 8 Down c .0066
SLC28A1 6 Down c .0467
AQP9 6 Down c .0001
SLC2A2 7 Down c .0002
SLC10A1 7 Down c .0005
SLC22A7 7 Down c c .0008
SLC23A2 7 Down c .0096
SLC22A1 8 Down .0129d
▪SLC2A6 6 Up c .0094
▪SLC36A1 7 Up c .0338
SLC38A1 6 Up c .0047
SLC29A2 6 Up .0142
SLC7A1 8 Up c .0163
Multipurpose ▪ADH6 7 Down c .0001
▪GOT2 7 Down c .0001
▪MAOB 6 Down c c .001
▪ALDH7A1 6 Down c .0011
▪CBR4 8 Down .004
ALDH2 8 Down c .0062
▪ALDH9A1 7 Down c .0477
ADH1B 7 Down c .0008
ALDH6A1 8 Down c .0062
ADH1C 6 Down c .0071
AKR7A3 7 Down c .0169
▪CA12 8 Up c .0027
Others ▪SORD 7 Down c .0003
▪MMACHC 6 Down c .0006
▪HAO1 7 Down c .0009
▪DCXR 7 Down c .002
▪QDPR 7 Down c .0035
▪PCCB 6 Down c .0058
▪GFOD2 7 Down .0059
▪AGL 8 Down c .009
▪GNE 8 Down c .0238
▪MTHFD1 7 Down c .0254
▪RBKS 7 Down c .0351
▪ADCY1 8 Down c .0375
▪GAMT 8 Down c .0386
UGP2 7 Down c .0014
ALAS1 6 Down c .0027
PON3 7 Down c .0047
RDH16 7 Down c .0089
ABAT 8 Down c .0093
HAO2 8 Down .0152d
GRHPR 7 Down c <.0001
MTHFS 8 Down c c .0028
▪NNT 6 Down c .0046
▪MUT 7 Down c c .0067
GLYAT 7 Down c .0002
SULT2A1 6 Down c .0002
CRYL1 7 Down c .0045
GNMT 8 Down c .0009
PON1 7 Down c .0072
▪NANS 6 Up c .0009
▪DDAH2 8 Up c .001
▪MFSD10 7 Up c .0057
▪LTA4H 8 Up .0087
▪GYG1 7 Up c .0267
SULT1C2 8 Up .0064
AACS 7 Up c .0069
NOX4 7 Up c .0422
SMS 6 Up c c .0328
SRM 7 Up c .0006

Genes categorized as other or multipurpose are those with functions either not yet well defined or not directly connected to a particular metabolic process. Kaplan-Meier overall survival was calculated for each gene and statistical significance analyzed by log-rank (Mantel-Cox) test. Square (▪) indicates novel targets in liver cancer as determined by searching PubMed.

#, number of datasets in which each gene is expressed at P < .05.

a

All listed metabolic genes correlated with ECM2 and MMP9.

b

Denotes P value.

c

Indicates those that also correlated with CDH1 and or VIM (Pearson correlation was considered significant at P < .05).

d

Previously identified as a survival predictor in hepatocellular carcinoma (HCC) (see the referenced study and other similarly described targets in Supplementary Table 1).