|
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
|
Forner A, Reig M and Bruix J:
Hepatocellular carcinoma. Lancet. 391:1301–1314. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Heidelbaugh JJ and Bruderly M: Cirrhosis
and chronic liver failure: Part I. Diagnosis and evaluation. Am Fam
Physician. 74:756–762. 2006.PubMed/NCBI
|
|
4
|
Alter MJ: Epidemiology of hepatitis C
virus infection. World J Gastroenterol. 13:2436–2441. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
5
|
El-Serag HB, Hampel H and Javadi F: The
association between diabetes and hepatocellular carcinoma: A
systematic review of epidemiologic evidence. Clin Gastroenterol
Hepatol. 4:369–380. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Marquardt JU, Seo D, Andersen JB, Gillen
MC, Kim MS, Conner EA, Galle PR, Factor VM, Park YN and
Thorgeirsson SS: Sequential transcriptome analysis of human liver
cancer indicates late stage acquisition of malignant traits. J
Hepatol. 60:346–353. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Kudo M: Multistep human
hepatocarcinogenesis: Correlation of imaging with pathology. J
Gastroenterol. 44 (Suppl 19):S112–S118. 2009. View Article : Google Scholar
|
|
8
|
Rahbari NN, Mehrabi A, Mollberg NM, Müller
SA, Koch M, Büchler MW and Weitz J: Hepatocellular carcinoma:
Current management and perspectives for the future. Ann Surg.
253:453–469. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Hasegawa K, Kokudo N, Makuuchi M, Izumi N,
Ichida T, Kudo M, Ku Y, Sakamoto M, Nakashima O, Matsui O and
Matsuyama Y: Comparison of resection and ablation for
hepatocellular carcinoma: A cohort study based on a Japanese
nationwide survey. J Hepatol. 58:724–729. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Poon RT, Fan ST, Lo CM, Liu CL and Wong J:
Long-term survival and pattern of recurrence after resection of
small hepatocellular carcinoma in patients with preserved liver
function: Implications for a strategy of salvage transplantation.
Ann Surg. 235:373–382. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Cheng J, Wei D, Ji Y, Chen L, Yang L, Li
G, Wu L, Hou T, Xie L, Ding G, et al: Integrative analysis of DNA
methylation and gene expression reveals hepatocellular
carcinoma-specific diagnostic biomarkers. Genome Med. 10:422018.
View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Kalinich M, Bhan I, Kwan TT, Miyamoto DT,
Javaid S, LiCausi JA, Milner JD, Hong X, Goyal L, Sil S, et al: An
RNA-based signature enables high specificity detection of
circulating tumor cells in hepatocellular carcinoma. Proc Natl Acad
Sci USA. 114:1123–1128. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Sia D, Jiao Y, Martinez-Quetglas I, Kuchuk
O, Villacorta-Martin C, Castro de Moura M, Putra J, Camprecios G,
Bassaganyas L, Akers N, et al: Identification of an immune-specific
class of hepatocellular carcinoma, based on molecular features.
Gastroenterology. 153:812–826. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Tavazoie S, Hughes JD, Campbell MJ, Cho RJ
and Church GM: Systematic determination of genetic network
architecture. Nat Genet. 22:281–285. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Langfelder P and Horvath S: WGCNA: An R
package for weighted correlation network analysis. BMC
Bioinformatics. 9:5592008. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Chen L, Yuan L, Qian K, Qian G, Zhu Y, Wu
CL, Dan HC, Xiao Y and Wang X: Identification of biomarkers
associated with pathological stage and prognosis of clear cell
renal cell carcinoma by co-expression network analysis. Front
Physiol. 9:3992018. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Davis S and Meltzer PS: GEOquery: A bridge
between the gene expression omnibus (GEO) and BioConductor.
Bioinformatics. 23:1846–1847. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Woo HG, Choi JH, Yoon S, Jee BA, Cho EJ,
Lee JH, Yu SJ, Yoon JH, Yi NJ, Lee KW, et al: Integrative analysis
of genomic and epigenomic regulation of the transcriptome in liver
cancer. Nat Commun. 8:8392017. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Du P, Kibbe WA and Lin SM: Lumi: A
pipeline for processing Illumina microarray. Bioinformatics.
24:1547–1548. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Yip AM and Horvath S: Gene network
interconnectedness and the generalized topological overlap measure.
BMC Bioinformatics. 8:222007. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
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
|
|
22
|
Horvath S and Dong J: Geometric
interpretation of gene coexpression network analysis. PLoS Comput
Biol. 4:e10001172008. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Szklarczyk D, Gable AL, Lyon D, Junge A,
Wyder S, Huerta-Cepas J, Simonovic M, Doncheva NT, Morris JH, Bork
P, et al: STRING v11: Protein-protein association networks with
increased coverage, supporting functional discovery in genome-wide
experimental datasets. Nucleic Acids Res. 47(D1): D607–D613. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Chin CH, Chen SH, Wu HH, Ho CW, Ko MT and
Lin CY: cytoHubba: Identifying hub objects and sub-networks from
complex interactome. BMC Syst Biol. 8 (Suppl 4):S112014. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Uhlen M, Fagerberg L, Hallstrom BM,
Lindskog C, Oksvold P, Mardinoglu A, Sivertsson Å, Kampf C,
Sjöstedt E, Asplund A, et al: Proteomics. Tissue-based map of the
human proteome. Science. 347:12604192015. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Tang Z, Li C, Kang B, Gao G, Li C and
Zhang Z: GEPIA: A web server for cancer and normal gene expression
profiling and interactive analyses. Nucleic Acids Res 45 (W1).
W98–W102. 2017. View Article : Google Scholar
|
|
28
|
Nomura F, Ohnishi K and Tanabe Y: Clinical
features and prognosis of hepatocellular carcinoma with reference
to serum alpha-fetoprotein levels. Analysis of 606 patients.
Cancer. 64:1700–1707. 1989. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Llovet JM, Schwartz M and Mazzaferro V:
Resection and liver transplantation for hepatocellular carcinoma.
Semin Liver Dis. 25:181–200. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Cholongitas E, Papatheodoridis GV, Vangeli
M, Terreni N, Patch D and Burroughs AK: Systematic review: The
model for end-stage liver disease-should it replace Child-Pugh's
classification for assessing prognosis in cirrhosis? Aliment
Pharmacol Ther. 22:1079–1089. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Ishak K, Baptista A, Bianchi L, Callea F,
De Groote J, Gudat F, Denk H, Desmet V, Korb G, MacSween RN, et al:
Histological grading and staging of chronic hepatitis. J Hepatol.
22:696–699. 1995. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Sobin LH, Gospodarowicz MK and Wittekind
C: TNM classification of malignant tumours. 7th edition. John Wiley
& Sons; 2009
|
|
33
|
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
|
|
34
|
Mootha VK, Lindgren CM, Eriksson KF,
Subramanian A, Sihag S, Lehar J, Puigserver P, Carlsson E,
Ridderstråle M, Laurila E, et al: PGC-1alpha-responsive genes
involved in oxidative phosphorylation are coordinately
downregulated in human diabetes. Nat Genet. 34:267–273. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Subramanian A, Tamayo P, Mootha VK,
Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub
TR, Lander ES and Mesirov JP: 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
|
|
36
|
Liberzon A, Birger C, Thorvaldsdóttir H,
Ghandi M, Mesirov JP and Tamayo P: The molecular signatures
database (MSigDB) hallmark gene set collection. Cell Syst.
1:417–425. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Niu ZS, Niu XJ, Wang WH and Zhao J: Latest
developments in precancerous lesions of hepatocellular carcinoma.
World J Gastroenterol. 22:3305–3314. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Batts KP and Ludwig J: Chronic hepatitis.
An update on terminology and reporting. Am J Surg Pathol.
19:1409–1417. 1995. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Choi JY, Lee JM and Sirlin CB: CT and MR
imaging diagnosis and staging of hepatocellular carcinoma: Part I.
Development, growth, and spread: Key pathologic and imaging
aspects. Radiology. 272:635–654. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Wong N, Yeo W, Wong WL, Wong NL, Chan KY,
Mo FK, Koh J, Chan SL, Chan AT, Lai PB, et al: TOP2A overexpression
in hepatocellular carcinoma correlates with early age onset,
shorter patients survival and chemoresistance. Int J Cancer.
124:644–652. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Li J, Gao JZ, Du JL, Huang ZX and Wei LX:
Increased CDC20 expression is associated with development and
progression of hepatocellular carcinoma. Int J Oncol. 45:1547–1555.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Gao CL, Wang GW, Yang GQ, Yang H and
Zhuang L: Karyopherin subunit-α 2 expression accelerates cell cycle
progression by upregulating CCNB2 and CDK1 in hepatocellular
carcinoma. Oncol Lett. 15:2815–2820. 2018.PubMed/NCBI
|
|
43
|
Chen J, Rajasekaran M, Xia H, Zhang X,
Kong SN, Sekar K, Seshachalam VP, Deivasigamani A, Goh BK, Ooi LL,
et al: The microtubule-associated protein PRC1 promotes early
recurrence of hepatocellular carcinoma in association with the
Wnt/β-catenin signalling pathway. Gut. 65:1522–1534. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Ieta K, Ojima E, Tanaka F, Nakamura Y,
Haraguchi N, Mimori K, Inoue H, Kuwano H and Mori M: Identification
of overexpressed genes in hepatocellular carcinoma, with special
reference to ubiquitin-conjugating enzyme E2C gene expression. Int
J Cancer. 121:33–38. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Molina-Jimenez F, Benedicto I, Murata M,
Martín-Vílchez S, Seki T, Antonio Pintor-Toro J, Tortolero M,
Moreno-Otero R, Okazaki K, Koike K, et al: Expression of pituitary
tumor-transforming gene 1 (PTTG1)/securin in hepatitis B virus
(HBV)-associated liver diseases: Evidence for an HBV X
protein-mediated inhibition of PTTG1 ubiquitination and
degradation. Hepatology. 51:777–787. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Lu M, Huang X, Chen Y, Fu Y, Xu C, Xiang
W, Li C, Zhang S and Yu C: Aberrant KIF20A expression might
independently predict poor overall survival and recurrence-free
survival of hepatocellular carcinoma. IUBMB Life. 70:328–335. 2018.
View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Zhang M, Yang D, Liu X, Liu Y, Liang J, He
H, Zhong K, Lin L, Tao G, Zhang C and Zhou J: Expression of Nusap1
in the surgical margins of hepatocellular carcinoma and its
association with early recurrence. Nan Fang Yi Ke Da Xue Xue Bao.
33:937–938, inside back cover, 2013 (In Chinese). PubMed/NCBI
|
|
48
|
Yang XM, Cao XY, He P, Li J, Feng MX,
Zhang YL, Zhang XL, Wang YH, Yang Q, Zhu L, et al: Overexpression
of Rac GTPase activating protein 1 contributes to proliferation of
cancer cells by reducing hippo signaling to promote cytokinesis.
Gastroenterology. 155:1233–1249 e22. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
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
|
|
50
|
Willemen Y, Van den Bergh JM, Bonte SM,
Anguille S, Heirman C, Stein BM, Goossens H, Kerre T, Thielemans K,
Peeters M, et al: The tumor-associated antigen RHAMM (HMMR/CD168)
is expressed by monocyte-derived dendritic cells and presented to T
cells. Oncotarget. 7:73960–73970. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Rein DT, Roehrig K, Schondorf T, Lazar A,
Fleisch M, Niederacher D, Bender HG and Dall P: Expression of the
hyaluronan receptor RHAMM in endometrial carcinomas suggests a role
in tumour progression and metastasis. J Cancer Res Clin Oncol.
129:161–164. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Kalmyrzaev B, Pharoah PD, Easton DF,
Ponder BA and Dunning AM; SEARCH Team, : Hyaluronan-mediated
motility receptor gene single nucleotide polymorphisms and risk of
breast cancer. Cancer Epidemiol Biomarkers Prev. 17:3618–3620.
2008. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Buttermore ST, Hoffman MS, Kumar A,
Champeaux A, Nicosia SV and Kruk PA: Increased RHAMM expression
relates to ovarian cancer progression. J Ovarian Res. 10:662017.
View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Koelzer VH, Huber B, Mele V, Iezzi G,
Trippel M, Karamitopoulou E, Zlobec I and Lugli A: Expression of
the hyaluronan-mediated motility receptor RHAMM in tumor budding
cells identifies aggressive colorectal cancers. Hum Pathol.
46:1573–1581. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Ishigami S, Ueno S, Nishizono Y, Matsumoto
M, Kurahara H, Arigami T, Uchikado Y, Setoyama T, Arima H, Yoshiaki
K, et al: Prognostic impact of CD168 expression in gastric cancer.
BMC Cancer. 11:1062011. View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Pujana MA, Han JD, Starita LM, Stevens KN,
Tewari M, Ahn JS, Rennert G, Moreno V, Kirchhoff T, Gold B, et al:
Network modeling links breast cancer susceptibility and centrosome
dysfunction. Nat Genet. 39:1338–1349. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Snauwaert S, Vanhee S, Goetgeluk G,
Verstichel G, Van Caeneghem Y, Velghe I, Philippé J, Berneman ZN,
Plum J, Taghon T, et al: RHAMM/HMMR (CD168) is not an ideal target
antigen for immunotherapy of acute myeloid leukemia. Haematologica.
97:1539–1547. 2012. View Article : Google Scholar : PubMed/NCBI
|
