|
1
|
Bray F, Ferlay J, Soerjomataram I, Siegel
RL, Torre LA and Jemal A: Global cancer statistics 2018: GLOBOCAN
estimates of incidence and mortality worldwide for 36 cancers in
185 countries. CA Cancer J Clin. 68:394–424. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Jemal A, Ward EM, Johnson CJ, Cronin KA,
Ma J, Ryerson B, Mariotto A, Lake AJ, Wilson R, Sherman RL, et al:
Annual report to the Nation on the status of cancer, 1975–2014,
featuring survival. J Natl Cancer Inst. 109:djx0302017. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Fitzmaurice C, Abate D, Abbasi N,
Abbastabar H, Abd-Allah F, Abdel-Rahman O, Abdelalim A, Abdoli A,
Abdollahpour I, Abdulle AS, et al Global Burden of Disease Cancer
Collaboration, : Global, Regional, and National Cancer Incidence,
Mortality, Years of Life Lost, Years Lived With Disability, and
Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017:
A systematic analysis for the global burden of disease study. JAMA
Oncol. 5:1749–1768. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Sia D, Villanueva A, Friedman SL and
Llovet JM: Liver cancer cell of origin, molecular class, and
effects on patient prognosis. Gastroenterology. 152:745–761. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Li X, Xu W, Kang W, Wong SH, Wang M, Zhou
Y, Fang X, Zhang X, Yang H, Wong CH, et al: Genomic analysis of
liver cancer unveils novel driver genes and distinct prognostic
features. Theranostics. 8:1740–1751. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Langfelder P and Horvath S: WGCNA: An R
package for weighted correlation network analysis. BMC
Bioinformatics. 9:5592008. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Larsson C, White I, Johansson C, Stark A
and Meijer J: Localization of the human soluble epoxide hydrolase
gene (EPHX2) to chromosomal region 8p21-p12. Hum Genet. 95:356–358.
1995. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Spector AA: Arachidonic acid cytochrome
P450 epoxygenase pathway. J Lipid Res. 50 (Suppl 1):S52–56. 2009.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Spector AA, Fang X, Snyder GD and
Weintraub NL: Epoxyeicosatrienoic acids (EETs): Metabolism and
biochemical function. Prog Lipid Res. 43:55–90. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Enayetallah AE, French RA and Grant DF:
Distribution of soluble epoxide hydrolase, cytochrome P450 2C8, 2C9
and 2J2 in human malignant neoplasms. J Mol Histol. 37:133–141.
2006. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Dreisbach AW, Japa S, Sigel A, Parenti MB,
Hess AE, Srinouanprachanh SL, Rettie AE, Kim H, Farin FM and Hamm
LL: The Prevalence of CYP2C8, 2C9, 2J2, and soluble epoxide
hydrolase polymorphisms in African Americans with hypertension. Am
J Hypertens. 18:1276–1281. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Enayetallah AE and Grant DF: Effects of
human soluble epoxide hydrolase polymorphisms on isoprenoid
phosphate hydrolysis. Biochem Biophys Res Commun. 341:254–260.
2006. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Decker M, Arand M and Cronin A: Mammalian
epoxide hydrolases in xenobiotic metabolism and signalling. Arch
Toxicol. 83:297–318. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Zhang J, Bajari R, Andric D, Gerthoffert
F, Lepsa A, Nahal-Bose H, Stein LD and Ferretti V: The
international cancer genome consortium data portal. Nat Biotechnol.
37:367–369. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Roessler S, Jia HL, Budhu A, Forgues M, Ye
QH, Lee JS, Thorgeirsson SS, Sun Z, Tang ZY, Qin LX, et al: A
unique metastasis gene signature enables prediction of tumor
relapse in early-stage hepatocellular carcinoma patients. Cancer
Res. 70:10202–10212. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Love MI, Huber W and Anders S: Moderated
estimation of fold change and dispersion for RNA-seq data with
DESeq2. Genome Biol. 15:5502014. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Fujimoto A, Furuta M, Totoki Y, Tsunoda T,
Kato M, Shiraishi Y, Tanaka H, Taniguchi H, Kawakami Y, Ueno M, et
al: Whole-genome mutational landscape and characterization of
noncoding and structural mutations in liver cancer. Nat Genet.
48:500–509. 2016. View
Article : Google Scholar : PubMed/NCBI
|
|
18
|
Ritchie ME, Phipson B, Wu D, Hu Y, Law CW,
Shi W and Smyth GK: limma powers differential expression analyses
for RNA-sequencing and microarray studies. Nucleic Acids Res.
43:e472015. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Goldman MJ, Craft B, Hastie M, Repečka K,
McDade F, Kamath A, Banerjee A, Luo Y, Rogers D, Brooks AN, et al:
Visualizing and interpreting cancer genomics data via the Xena
platform. Nat Biotechnol. 38:675–678. 2020. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Friedman J, Hastie T and Tibshirani R:
Regularization paths for generalized linear models via coordinate
descent. J Stat Softw. 33:1–22. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Sauerbrei W, Royston P and Binder H:
Selection of important variables and determination of functional
form for continuous predictors in multivariable model building.
Stat Med. 26:5512–5528. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Rhodes DR, Yu J, Shanker K, Deshpande N,
Varambally R, Ghosh D, Barrette T, Pandey A and Chinnaiyan AM:
ONCOMINE: A cancer microarray database and integrated data-mining
platform. Neoplasia. 6:1–6. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Chen X, Cheung ST, So S, Fan ST, Barry C,
Higgins J, Lai KM, Ji J, Dudoit S, Ng IO, et al: Gene expression
patterns in human liver cancers. Mol Biol Cell. 13:1929–1939. 2002.
View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Wurmbach E, Chen YB, Khitrov G, Zhang W,
Roayaie S, Schwartz M, Fiel I, Thung S, Mazzaferro V, Bruix J, et
al: Genome-wide molecular profiles of HCV-induced dysplasia and
hepatocellular carcinoma. Hepatology. 45:938–947. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Woo HG, Lee JH, Yoon JH, Kim CY, Lee HS,
Jang JJ, Yi NJ, Suh KS, Lee KU, Park ES, et al: Identification of a
cholangiocarcinoma-like gene expression trait in hepatocellular
carcinoma. Cancer Res. 70:3034–3041. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Yu G, Wang LG, Han Y and He QY:
clusterProfiler: An R package for comparing biological themes among
gene clusters. OMICS. 16:284–287. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Walter W, Sánchez-Cabo F and Ricote M:
GOplot: An R package for visually combining expression data with
functional analysis. Bioinformatics. 31:2912–2914. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Subramanian A, Tamayo P, Mootha VK,
Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub
TR, Lander ES, et al: Gene set enrichment analysis: A
knowledge-based approach for interpreting genome-wide expression
profiles. Proc Natl Acad Sci USA. 102:15545–15550. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Livak KJ and Schmittgen TD: Analysis of
relative gene expression data using real-time quantitative PCR and
the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.
View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Li H, Han D, Hou Y, Chen H and Chen Z:
Statistical inference methods for two crossing survival curves: A
comparison of methods. PLoS One. 10:e01167742015. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Qiu P and Sheng J: A two-stage procedure
for comparing hazard rate functions. J R Stat Soc Series B Stat
Methodol. 70:191–208. 2008.
|
|
32
|
Llovet JM, Montal R, Sia D and Finn RS:
Molecular therapies and precision medicine for hepatocellular
carcinoma. Nat Rev Clin Oncol. 15:599–616. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Llovet JM, Ricci S, Mazzaferro V, Hilgard
P, Gane E, Blanc JF, de Oliveira AC, Santoro A, Raoul JL, Forner A,
et al SHARP Investigators Study Group, : Sorafenib in advanced
hepatocellular carcinoma. N Engl J Med. 359:378–390. 2008.
View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Kudo M, Finn RS, Qin S, Han KH, Ikeda K,
Piscaglia F, Baron A, Park JW, Han G, Jassem J, et al: Lenvatinib
versus sorafenib in first-line treatment of patients with
unresectable hepatocellular carcinoma: A randomised phase 3
non-inferiority trial. Lancet. 391:1163–1173. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Bruix J, Qin S, Merle P, Granito A, Huang
YH, Bodoky G, Pracht M, Yokosuka O, Rosmorduc O, Breder V, et al
RESORCE Investigators, : Regorafenib for patients with
hepatocellular carcinoma who progressed on sorafenib treatment
(RESORCE): A randomised, double-blind, placebo-controlled, phase 3
trial. Lancet. 389:56–66. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Abou-Alfa GK, Meyer T, Cheng AL,
El-Khoueiry AB, Rimassa L, Ryoo BY, Cicin I, Merle P, Chen Y, Park
JW, et al: Cabozantinib in Patients with Advanced and Progressing
Hepatocellular Carcinoma. N Engl J Med. 379:54–63. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Zhang R, Ye J, Huang H and Du X: Mining
featured biomarkers associated with vascular invasion in HCC by
bioinformatics analysis with TCGA RNA sequencing data. Biomed
Pharmacother. 118:1092742019. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Xu X, Zhang XA and Wang DW: The roles of
CYP450 epoxygenases and metabolites, epoxyeicosatrienoic acids, in
cardiovascular and malignant diseases. Adv Drug Deliv Rev.
63:597–609. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Jiang JG, Chen CL, Card JW, Yang S, Chen
JX, Fu XN, Ning YG, Xiao X, Zeldin DC and Wang DW: Cytochrome P450
2J2 promotes the neoplastic phenotype of carcinoma cells and is
up-regulated in human tumors. Cancer Res. 65:4707–4715. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Panigrahy D, Greene ER, Pozzi A, Wang DW
and Zeldin DC: EET signaling in cancer. Cancer Metastasis Rev.
30:525–540. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Chen C, Wei X, Rao X, Wu J, Yang S, Chen
F, Ma D, Zhou J, Dackor RT, Zeldin DC, et al: Cytochrome P450 2J2
is highly expressed in hematologic malignant diseases and promotes
tumor cell growth. J Pharmacol Exp Ther. 336:344–355. 2011.
View Article : Google Scholar : PubMed/NCBI
|
