1
|
Kulik L and El-Serag HB: epidemiology and
management of hepatocellular carcinoma. Gastroenterology.
156:477–491.e1. 2019. View Article : Google Scholar : PubMed/NCBI
|
2
|
Llovet JM, Zucman-Rossi J, Pikarsky E,
Sangro B, Schwartz M, Sherman M and Gores G: Hepatocellular
carcinoma. Nat Rev Dis Primers. 2:160182016. View Article : Google Scholar : PubMed/NCBI
|
3
|
Kanwal F and Singal AG: Surveillance for
hepatocellular carcinoma: Current best practice and future
direction. Gastroenterology. 157:54–64. 2019. View Article : Google Scholar : PubMed/NCBI
|
4
|
Wang X and Wang Q: Alpha-fetoprotein and
hepatocellular carcinoma immunity. Can J Gastroenterol Hepatol.
2018:90492522018. View Article : Google Scholar : PubMed/NCBI
|
5
|
Bai DS, Zhang C, Chen P, Jin SJ and Jiang
GQ: The prognostic correlation of AFP level at diagnosis with
pathological grade, progression, and survival of patients with
hepatocellular carcinoma. Sci Rep. 7:128702017. View Article : Google Scholar : PubMed/NCBI
|
6
|
Marrero JA and Lok AS: Newer markers for
hepatocellular carcinoma. Gastroenterology. 127 (5 Suppl
1):S113–S119. 2004. View Article : Google Scholar : PubMed/NCBI
|
7
|
Daniele B, Bencivenga A, Megna AS and
Tinessa V: Alpha-fetoprotein and ultrasonography screening for
hepatocellular carcinoma. Gastroenterology. 127 (5 Suppl
1):S108–S112. 2004. View Article : Google Scholar : PubMed/NCBI
|
8
|
Pierce KL, Premont RT and Lefkowitz RJ:
Seven-transmembrane receptors. Nat Rev Mol Cell Biol. 3:639–650.
2002. View
Article : Google Scholar : PubMed/NCBI
|
9
|
Bockaert J and Pin JP: Molecular tinkering
of G protein-coupled receptors: An evolutionary success. EMBO J.
18:1723–1729. 1999. View Article : Google Scholar : PubMed/NCBI
|
10
|
Liau JY, Lee JC, Tsai JH, Chen CC, Chung
YC and Wang YH: High frequency of GNA14, GNAQ, and GNA11 mutations
in cherry hemangioma: A histopathological and molecular study of 85
cases indicating GNA14 as the most commonly mutated gene in
vascular neoplasms. Mod Pathol. 32:1657–1665. 2019. View Article : Google Scholar : PubMed/NCBI
|
11
|
Wang J, Lv X, Xu F, Wei M, Liu C and Yang
Y: GNA14 silencing suppresses the proliferation of endometrial
carcinoma cells through inducing apoptosis and G2/M cell
cycle arrest. Biosci Rep. 38:BSR201805742018. View Article : Google Scholar : PubMed/NCBI
|
12
|
Lim YH, Bacchiocchi A, Qiu J, Straub R,
Bruckner A, Bercovitch L, Narayan D; Yale Center for Mendelian
Genomics, ; McNiff J, Ko C, et al: GNA14 somatic mutation causes
congenital and sporadic vascular tumors by MAPK activation. Am J
Hum Genet. 99:443–450. 2016. View Article : Google Scholar : PubMed/NCBI
|
13
|
Vogel A, Cervantes A, Chau I, Daniele B,
Llovet JM, Meyer T, Nault JC, Neumann U, Ricke J, Sangro B, et al:
Hepatocellular carcinoma: ESMO Clinical Practice Guidelines for
diagnosis, treatment and follow-up. Ann Oncol. 30:871–873. 2019.
View Article : Google Scholar
|
14
|
Wu H and Zhang J: Decreased expression of
TFAP2B in endometrial cancer predicts poor prognosis: A study based
on TCGA data. Gynecol Oncol. 149:592–597. 2018. View Article : Google Scholar : PubMed/NCBI
|
15
|
Lian Q, Wang S, Zhang G, Wang D, Luo G,
Tang J, Chen L and Gu J: HCCDB: A Database of hepatocellular
carcinoma expression atlas. Genomics Proteomics Bioinformatics.
16:269–275. 2018. View Article : Google Scholar : PubMed/NCBI
|
16
|
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
|
17
|
Huang WY, Hsu SD, Huang HY, Sun YM, Chou
CH, Weng SL and Huang HD: MethHC: A database of DNA methylation and
gene expression in human cancer. Nucleic Acids Res. 43:(Database
Issue). D856–D861. 2015. View Article : Google Scholar : PubMed/NCBI
|
18
|
Li T, Fan J, Wang B, Traugh N, Chen Q, Liu
JS, Li B and Liu XS: TIMER: A web server for comprehensive analysis
of tumor-infiltrating immune cells. Cancer Res. 77:e108–e110. 2017.
View Article : Google Scholar : PubMed/NCBI
|
19
|
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
|
20
|
R Core Team, . R: A language and
environment for statistical computing. R Foundation for Statistical
Computing; Vienna: 2012, http://www.R-project.org/
|
21
|
RStudio Team, . RStudio: Integrated
Development for R. RStudio, Inc.; Boston, MA: 2015, http://www.rstudio.com/
|
22
|
Joseph NM, Brunt EM, Marginean C,
Nalbantoglu I, Snover DC, Thung SN, Yeh MM, Umetsu SE, Ferrell LD
and Gill RM: Frequent GNAQ and GNA14 mutations in hepatic small
vessel neoplasm. Am J Surg Pathol. 42:1201–1207. 2018. View Article : Google Scholar : PubMed/NCBI
|
23
|
Cai C, Wang W and Tu Z: Aberrantly DNA
Methylated-differentially expressed genes and pathways in
hepatocellular carcinoma. J Cancer. 10:355–366. 2019. View Article : Google Scholar : PubMed/NCBI
|
24
|
Gao W, Kondo Y, Shen L, Shimizu Y, Sano T,
Yamao K, Natsume A, Goto Y, Ito M, Murakami H, et al: Variable DNA
methylation patterns associated with progression of disease in
hepatocellular carcinomas. Carcinogenesis. 29:1901–1910. 2008.
View Article : Google Scholar : PubMed/NCBI
|
25
|
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
|
26
|
Li G, Xu W, Zhang L, Liu T, Jin G, Song J,
Wu J, Wang Y, Chen W, Zhang C, et al: Development and validation of
a CIMP-associated prognostic model for hepatocellular carcinoma.
EBioMedicine. 47:128–141. 2019. View Article : Google Scholar : PubMed/NCBI
|
27
|
Kanwal R and Gupta S: Epigenetic
modifications in cancer. Clin Genet. 81:303–311. 2012. View Article : Google Scholar : PubMed/NCBI
|