1
|
Siegel RL, Miller KD and Jemal A: Cancer
statistics, 2018. CA Cancer J Clin. 68:7–30. 2018. View Article : Google Scholar : PubMed/NCBI
|
2
|
Perz JF, Armstrong GL, Farrington LA,
Hutin YJ and Bell BP: The contributions of hepatitis B virus and
hepatitis C virus infections to cirrhosis and primary liver cancer
worldwide. J Hepatol. 45:529–538. 2006. View Article : Google Scholar : PubMed/NCBI
|
3
|
Hung AK and Guy J: Hepatocellular
carcinoma in the elderly: Meta-analysis and systematic literature
review. World J Gastroenterol. 21:12197–12210. 2015. View Article : Google Scholar : PubMed/NCBI
|
4
|
Kiss A, Wang NJ, Xie JP and Thorgeirsson
SS: Analysis of transforming growth factor (TGF)-alpha/epidermal
growth factor receptor, hepatocyte growth Factor/c-met, TGF-beta
receptor type II, and p53 expression in human hepatocellular
carcinomas. Clin Cancer Res. 3:1059–1066. 1997.PubMed/NCBI
|
5
|
Chiang DY, Villanueva A, Hoshida Y, Peix
J, Newell P, Minguez B, LeBlanc AC, Donovan DJ, Thung SN, Solé M,
et al: Focal gains of VEGFA and molecular classification of
hepatocellular carcinoma. Cancer Res. 68:6779–6788. 2008.
View Article : Google Scholar : PubMed/NCBI
|
6
|
Liao H, Liao M, Xu L, Yan X, Ren B, Zhu Z,
Yuan K and Zeng Y: Integrative analysis of h-prune as a potential
therapeutic target for hepatocellular carcinoma. EBioMedicine.
41:310–319. 2019. View Article : Google Scholar : PubMed/NCBI
|
7
|
Jin B, Wang W, Du G, Huang GZ, Han LT,
Tang ZY, Fan DG, Li J and Zhang SZ: Identifying hub genes and
dysregulated pathways in hepatocellular carcinoma. Eur Rev Med
Pharmacol Sci. 19:592–601. 2015.PubMed/NCBI
|
8
|
Zheng Y, Long J, Wu L, Zhang H, Li L,
Zheng Y, Wang A, Lin J, Yang X, Sang X, et al: Identification of
hub genes involved in the development of hepatocellular carcinoma
by transcriptome sequencing. Oncotarget. 8:60358–60367.
2017.PubMed/NCBI
|
9
|
Xiong Y, You W, Wang R, Peng L and Fu Z:
prediction and validation of hub genes associated with colorectal
cancer by integrating PPI network and gene expression data. BioMed
Res Int. 2017:24214592017. View Article : Google Scholar : PubMed/NCBI
|
10
|
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
|
11
|
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
|
12
|
Amin MB, Greene FL, Edge SB, Compton CC,
Gershenwald JE, Brookland RK, Meyer L, Gress DM, Byrd DR and
Winchester DP: The Eighth Edition AJCC Cancer Staging Manual:
Continuing to build a bridge from a population-based to a more
‘personalized’ approach to cancer staging. CA Cancer J Clin.
67:93–99. 2017. View Article : Google Scholar : PubMed/NCBI
|
13
|
Maine EA, Westcott JM, Prechtl AM, Dang
TT, Whitehurst AW and Pearson GW: The cancer-testis antigens
SPANX-A/C/D and CTAG2 promote breast cancer invasion.
Oncotarget. 7:14708–14726. 2016. View Article : Google Scholar : PubMed/NCBI
|
14
|
Han Q, Sun ML, Liu WS, Zhao HS, Jiang LY,
Yu ZJ and Wei MJ: Upregulated expression of ACTL8 contributes to
invasion and metastasis and indicates poor prognosis in colorectal
cancer. Onco Targets Ther. 12:1749–1763. 2019. View Article : Google Scholar : PubMed/NCBI
|
15
|
Wang J, Chen W, Wei W and Lou J: Oncogene
TUBA1C promotes migration and proliferation in hepatocellular
carcinoma and predicts a poor prognosis. Oncotarget. 8:96215–96224.
2017.PubMed/NCBI
|
16
|
Wong PP, Miranda F, Chan KV, Berlato C,
Hurst HC and Scibetta AG: Histone demethylase KDM5B collaborates
with TFAP2C and Myc to repress the cell cycle inhibitor p21(cip)
(CDKN1A). Mol Cell Biol. 32:1633–1644. 2012. View Article : Google Scholar : PubMed/NCBI
|
17
|
Forner A, Llovet JM and Bruix J:
Hepatocellular carcinoma. Lancet. 379:1245–1255. 2012. View Article : Google Scholar : PubMed/NCBI
|
18
|
Wang S, Sun H, Xie Z, Li J, Hong G, Li D,
Mallampati S, Zhou X, Zhou C, Zhang H, et al: Improved survival of
patients with hepatocellular carcinoma and disparities by age, race
and socioeconomic status by decade, 1983–2012. Oncotarget.
7:59820–59833. 2016.PubMed/NCBI
|
19
|
Chan AC, Fan ST, Poon RT, Cheung TT, Chok
KS, Chan SC and Lo CM: Evaluation of the seventh edition of the
American Joint Committee on Cancer tumor-node-metastasis (TNM)
staging system for patients undergoing curative resection of
hepatocellular carcinoma: Implications for the development of a
refined staging system. HPB (Oxford). 15:439–448. 2013. View Article : Google Scholar : PubMed/NCBI
|
20
|
Greene FL and Sobin LH: The staging of
cancer: A retrospective and prospective appraisal. CA Cancer J
Clin. 58:180–190. 2008. View Article : Google Scholar : PubMed/NCBI
|
21
|
Gao H, Wang H and Yang W: Identification
of key genes and construction of microRNA-mRNA regulatory networks
in multiple myeloma by integrated multiple GEO datasets using
bioinformatics analysis. Int J Hematol. 106:99–107. 2017.
View Article : Google Scholar : PubMed/NCBI
|
22
|
Almeida LG, Sakabe NJ, deOliveira AR,
Silva MC, Mundstein AS, Cohen T, Chen YT, Chua R, Gurung S, Gnjatic
S, et al: CTdatabase: A knowledge-base of high-throughput and
curated data on cancer-testis antigens. Nucleic Acids Res 37
(Database Issue). D816–D819. 2009. View Article : Google Scholar
|
23
|
Chen YT, Scanlan MJ, Venditti CA, Chua R,
Theiler G, Stevenson BJ, Iseli C, Gure AO, Vasicek T, Strausberg
RL, et al: Identification of cancer/testis-antigen genes by
massively parallel signature sequencing. Proc Natl Acad Sci USA.
102:7940–7945. 2005. View Article : Google Scholar : PubMed/NCBI
|
24
|
Caballero OL and Chen YT: Cancer/testis
(CT) antigens: Potential targets for immunotherapy. Cancer Sci.
100:2014–2021. 2009. View Article : Google Scholar : PubMed/NCBI
|
25
|
Yao J, Caballero OL, Yung WK, Weinstein
JN, Riggins GJ, Strausberg RL and Zhao Q: Tumor subtype-specific
cancer-testis antigens as potential biomarkers and
immunotherapeutic targets for cancers. Cancer Immunol Res.
2:371–379. 2014. View Article : Google Scholar : PubMed/NCBI
|
26
|
Hofmann O, Caballero OL, Stevenson BJ,
Chen YT, Cohen T, Chua R, Maher CA, Panji S, Schaefer U, Kruger A,
et al: Genome-wide analysis of cancer/testis gene expression. Proc
Natl Acad Sci USA. 105:20422–20427. 2008. View Article : Google Scholar : PubMed/NCBI
|
27
|
Lotem M, Merims S, Frank S, Hamburger T,
Nissan A, Kadouri L, Cohen J, Straussman R, Eisenberg G,
Frankenburg S, et al: Adjuvant autologous melanoma vaccine for
macroscopic stage III disease: Survival, biomarkers, and improved
response to CTLA-4 blockade. J Immunol Res. 2016:81219852016.
View Article : Google Scholar : PubMed/NCBI
|
28
|
van Duin M, Broyl A, de Knegt Y,
Goldschmidt H, Richardson PG, Hop WC, van der Holt B,
Joseph-Pietras D, Mulligan G, Neuwirth R, et al: Cancer testis
antigens in newly diagnosed and relapse multiple myeloma:
Prognostic markers and potential targets for immunotherapy.
Haematologica. 96:1662–1669. 2011. View Article : Google Scholar : PubMed/NCBI
|
29
|
Dyrskjot L, Zieger K, Kissow Lildal T,
Reinert T, Gruselle O, Coche T, Borre M and Ørntoft TF: Expression
of MAGE-A3, NY-ESO-1, LAGE-1 and PRAME in urothelial carcinoma. Br
J Cancer. 107:116–122. 2012. View Article : Google Scholar : PubMed/NCBI
|
30
|
Kulkarni P, Shiraishi T, Rajagopalan K,
Kim R, Mooney SM and Getzenberg RH: Cancer/testis antigens and
urological malignancies. Nat Rev Urol. 9:386–396. 2012. View Article : Google Scholar : PubMed/NCBI
|
31
|
Shantha Kumara HM, Grieco MJ, Caballero
OL, Su T, Ahmed A, Ritter E, Gnjatic S, Cekic V, Old LJ, Simpson
AJ, et al: MAGE-A3 is highly expressed in a subset of colorectal
cancer patients. Cancer Immu. 12:162012.
|
32
|
Wang XY, Chen HS, Luo S, Zhang HH, Fei R
and Cai J: Comparisons for detecting NY-ESO-1 mRNA expression
levels in hepatocellular carcinoma tissues. Oncol Rep. 21:713–719.
2009.PubMed/NCBI
|
33
|
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
|