|
1
|
Villanueva A: Hepatocellular carcinoma. N
Engl J Med. 380:1450–1462. 2019.PubMed/NCBI View Article : Google Scholar
|
|
2
|
Siegel RL, Miller KD, Wagle NS and Jemal
A: Global cancer statistics, 2023. CA Cancer J Clin. 73:17–48.
2023.PubMed/NCBI View Article : Google Scholar
|
|
3
|
Pradeep G, Vikram B and Sharma DVHS:
Biomarkers to assess liver function in various types of liver
diseases. Int J Clin Biomed Res. 5:28–31. 2019.
|
|
4
|
Cai SH, Lu SX, Liu LL, Zhang CZ and Yun
JP: Increased expression of hepatocyte nuclear factor 4 alpha
transcribed by promoter 2 indicates a poor prognosis in
hepatocellular carcinoma. Therap Adv Gastroenterol. 10:761–771.
2017.PubMed/NCBI View Article : Google Scholar
|
|
5
|
Villanueva A, Hoshida Y, Battiston C,
Tovar V, Sia D, Alsinet C, Cornella H, Liberzon A, Kobayashi M,
Kumada H, et al: Combining clinical, pathology, and gene expression
data to predict recurrence of hepatocellular carcinom.
Gastroenterology. 140:1501–12.e2. 2011.PubMed/NCBI View Article : Google Scholar
|
|
6
|
Clerici M, Faini M, Muckenfuss LM,
Aebersold R and Jinek M: Structural basis of AAUAAA polyadenylation
signal recognition by the human CPSF comple. Nat Struct Mol Biol.
25(355)2018.PubMed/NCBI View Article : Google Scholar
|
|
7
|
Pallante P, Terracciano L, Carafa V,
Schneider S, Zlobec I, Lugli A, Bianco M, Ferraro A, Sacchetti S,
Troncone G, et al: The loss of the CBX7 gene expression represents
an adverse prognostic marker for survival of colon. Eur J Cancer.
46:2304–2313. 2010.PubMed/NCBI View Article : Google Scholar
|
|
8
|
Chandrashekar DS, Bashel B, Balasubramanya
SAH, Creighton CJ, Ponce-Rodriguez I, Chakravarthi BVSK and
Varambally S: UALCAN: A portal for facilitating tumor subgroup gene
expression and survival analyses. Neoplasia. 19:649–658.
2017.PubMed/NCBI View Article : Google Scholar
|
|
9
|
Tomczak K, Czerwińska P and Wiznerowicz M:
The cancer genome atlas (TCGA): An immeasurable source of
knowledge. Contemp Oncol (Pozn). 19:A68–A77. 2015.PubMed/NCBI View Article : Google Scholar
|
|
10
|
Liu CJ, Hu FF, Xia MX, Han L, Zhang Q and
Guo AY: GSCALite: A web server for gene set cancer analysi.
Bioinformatics. 34:3771–3772. 2018.PubMed/NCBI View Article : Google Scholar
|
|
11
|
Asplund A, Edqvist PH, Schwenk JM and
Pontén F: Antibodies for profiling the human proteome-the human
protein atlas as a resource for cancer researc. Proteomics.
12:2067–2077. 2012.PubMed/NCBI View Article : Google Scholar
|
|
12
|
Nagy Á, Lánczky A, Menyhárt O and Győrffy
B: Validation of MiRNA prognostic power in hepatocellular carcinoma
using expression data of independent datasets. Sci Rep.
8(9227)2018.PubMed/NCBI View Article : Google Scholar
|
|
13
|
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:W98–W102.
2017.PubMed/NCBI View Article : Google Scholar
|
|
14
|
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.PubMed/NCBI View Article : Google Scholar
|
|
15
|
Bartha Á and Győrffy B: urihttp://TNMplot.comsimpleTNMplot.com:
A web tool for the comparison of gene expression in normal, tumor
and metastatic tissue. Int J Mol Sci. 5(2622)2017.PubMed/NCBI View Article : Google Scholar
|
|
16
|
Ru B, Wong CN, Tong Y, Zhong JY, Zhong
SSW, Wu WC, Chu KC, Wong CY, Lau CY, Chen I, et al: TISIDB: An
integrated repository portal for tumor-immune system interaction.
Bioinformatics. 35:4200–4202. 2019.PubMed/NCBI View Article : Google Scholar
|
|
17
|
Pathan M, Keerthikumar S, Ang CS, Gangoda
L, Quek CY, Williamson NA, Mouradov D, Sieber OM, Simpson RJ, Salim
A, et al: FunRich: An open access standalone functional enrichment
and interaction network analysis tool. Proteomics. 15:2597–2601.
2015.PubMed/NCBI View Article : Google Scholar
|
|
18
|
Liao Y, Wang J, Jaehnig EJ, Shi Z and
Zhang B: WebGestalt 2019: Gene set analysis toolkit with revamped
UIs and APIs. Nucleic Acids Res. 47:W199–W205. 2019.PubMed/NCBI View Article : Google Scholar
|
|
19
|
Vasaikar SV, Straub P, Wang J and Zhang B:
LinkedOmics: Analyzing multi-omics data within and across 32 cancer
types. Nucleic Acids Res. 46:D956–D963. 2018.PubMed/NCBI View Article : Google Scholar
|
|
20
|
Menyhárt O, Nagy Á and Győrffy B:
Determining consistent prognostic biomarkers of overall survival
and vascular invasion in hepatocellular carcinom. R Soc Open Sci.
5(181006)2018.PubMed/NCBI View Article : Google Scholar
|
|
21
|
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.PubMed/NCBI View Article : Google Scholar
|
|
22
|
Bruix J, Gores GJ and Mazzaferro V:
Hepatocellular carcinoma: Clinical frontiers and perspectives. Gut.
63:844–855. 2001.PubMed/NCBI View Article : Google Scholar
|
|
23
|
Schönemann L, Kühn U, Martin G, Schäfer P,
Gruber AR, Keller W, Zavolan M and Wahle E: Reconstitution of CPSF
active in polyadenylation: Recognition of the polyadenylation
signal by WDR33. Genes Dev. 28:2381–2393. 2014.PubMed/NCBI View Article : Google Scholar
|
|
24
|
Ning Y, Liu W, Guan X, Xie X and Zhang Y:
CPSF3 is a promising prognostic biomarker and predicts recurrence
of non-small cell lung cancer. Oncol Lett. 18:2835–2844.
2019.PubMed/NCBI View Article : Google Scholar
|
|
25
|
Zheng Y, Shi Y, Yu S, Han Y, Kang K, Xu H,
Gu H, Sang X, Chen Y and Wang J: GTSE1, CDC20, PCNA, and MCM6
synergistically affect regulations in cell cycle and indicate poor
prognosis in liver cance. Ana Cell Pathol (Amst).
30(1038069)2019.PubMed/NCBI View Article : Google Scholar
|
|
26
|
Wu SY, Liao P, Yan LY, Zhao QY, Xie ZY,
Dong J and Sun HT: Correlation of MKI67 with prognosis, immune
infiltration, and T cell exhaustion in hepatocellular carcinom. BMC
Gastroenterol. 21(416)2021.PubMed/NCBI View Article : Google Scholar
|
|
27
|
Gurzu S, Kobori L, Fodor D and Jung I:
Epithelial mesenchymal and endothelial mesenchymal transitions in
hepatocellular carcinoma: A revie. Biomed Res Int.
2962580:2019.PubMed/NCBI View Article : Google Scholar
|
|
28
|
Wang Q, Feng J and Tang L: Non-coding RNA
related to MAPK signaling pathway in liver cancer. Int J Mol Sci.
23(11908)2019.PubMed/NCBI View Article : Google Scholar
|
|
29
|
Coltri PP, Dos Santos MGP and da Silva
GHG: Splicing and cancer: Challenges and opportunities. Wiley
Interdiscip Rev RNA. 10(e1527)2019.PubMed/NCBI View Article : Google Scholar
|
|
30
|
Furusawa Y, Iizumi T, Fujiwara Y, Zhao QL,
Tabuchi Y, Nomura T and Kondo T: Inhibition of checkpoint kinase 1
abrogates G2/M checkpoint activation and promotes apoptosis under
heat stress. Apoptosis. 17:102–112. 2012.PubMed/NCBI View Article : Google Scholar
|
|
31
|
Liu Z, Sun Q and Wang X: PLK1, a potential
target for cancer therapy. Transl Oncol. 10:22–32. 2017.PubMed/NCBI View Article : Google Scholar
|
|
32
|
Cruceriu D, Baldasici O, Balacescu O and
Berindan-Neagoe I: The dual role of tumor necrosis factor-alpha
(TNF-α) in breast cancer: Molecular insights and therapeutic
approaches. Cell Oncol (Dordr). 43:1–18. 2020.PubMed/NCBI View Article : Google Scholar
|
|
33
|
Cardoso Alves L, Corazza N, Micheau O and
Krebs P: The multifaceted role of TRAIL signaling in cancer and
immunity. FEBS J. 288:5530–5554. 2021.PubMed/NCBI View Article : Google Scholar
|
|
34
|
Ikeda H, Old LJ and Schreiber RD: The
roles of IFN gamma in protection against tumor development and
cancer immunoediting. Cytokine Growth Factor Rev. 13:95–109.
2002.PubMed/NCBI View Article : Google Scholar
|
