|
1
|
Zhang SY, Lu ZM, Luo XN, Chen LS, Ge PJ,
Song XH, Chen SH and Wu YL: Retrospective analysis of prognostic
factors in 205 patients with laryngeal squamous cell carcinoma who
underwent surgical treatment. PloS One. 8:e601572013. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Siegel RL, Miller KD and Jemal A: Cancer
statistics, 2016. CA Cancer J Clin. 66:7–30. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Slattery ML, Herrick JS, Mullany LE,
Valeri N, Stevens J, Caan BJ, Samowitz W and Wolff RK: An
evaluation and replication of miRNAs with disease stage and
colorectal cancer-specific mortality. Int J Cancer. 137:428–438.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Letelier P, García P, Leal P, Álvarez H,
Ili C, López J, Castillo J, Brebi P and Roa JC: miR-1 and miR-145
act as tumor suppressor microRNAs in gallbladder cancer. Int J Clin
Exp Pathol. 7:1849–1867. 2014.PubMed/NCBI
|
|
5
|
Andersen M, Grauslund M, Ravn J, Sørensen
JB, Andersen CB and Santoni-Rugiu E: Diagnostic potential of
miR-126, miR-143, miR-145, and miR-652 in malignant pleural
mesothelioma. J Mol Diagn. 16:418–430. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Ozen M, Karatas OF, Gulluoglu S, Bayrak
OF, Sevli S, Guzel E, Ekici ID, Caskurlu T, Solak M, Creighton CJ
and Ittmann M: Overexpression of miR-145-5p inhibits proliferation
of prostate cancer cells and reduces SOX2 expression. Cancer
Invest. 33:251–258. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Karatas OF, Yuceturk B, Suer I, Yilmaz M,
Cansiz H, Solak M, Ittmann M and Ozen M: Role of miR-145 in human
laryngeal squamous cell carcinoma. Head Neck. 38:260–266. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Karatas OF, Suer I, Yuceturk B, Yilmaz M,
Hajiyev Y, Creighton CJ, Ittmann M and Ozen M: The role of miR-145
in stem cell characteristics of human laryngeal squamous cell
carcinoma Hep-2 cells. Tumor Biol. 37:4183–4192. 2016. View Article : Google Scholar
|
|
9
|
WeiGao CZ, Chen G, Li Y, Wen S, Huang F
and Wang B: Novel mechanism and clinical significance of
Hsa-miR-145-5P/FSCN1 regulatory axis in laryngeal squamous cell
carcinoma. Tumor academic conference across the Taiwan Straits.
2014;
|
|
10
|
Huang DW, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2008. View Article : Google Scholar
|
|
11
|
Gene Ontology Consortium: Gene ontology
consortium: Going forward. Nucleic Acids Res. 43(Database issue):
D1049–D1056. 2015.PubMed/NCBI
|
|
12
|
Kanehisa M and Goto S: KEGG: Kyoto
encyclopedia of genes and genomes. Nucleic Acids Res. 28:27–30.
2000. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Preacher KJ and Briggs NE: Calculation for
Fisher's Exact Test. 2015.
|
|
14
|
Benjamini Y and Hochberg Y: Controlling
the false discovery rate: A practical and powerful approach to
multiple testing. J Royal Stat Soci Series B (Methodological).
57:289–300. 1995.
|
|
15
|
Dweep H, Sticht C, Pandey P and Gretz N:
miRWalk-database: Prediction of possible miRNA binding sites by
‘walking’ the genes of three genomes. J Biomed Inform. 44:839–847.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Wong N and Wang X: miRDB: An online
resource for microRNA target prediction and functional annotations.
Nucleic Acids Res. 43(Database issue): D146–D152. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Miranda KC, Huynh T, Tay Y, Ang YS, Tam
WL, Thomson AM, Lim B and Rigoutsos I: A pattern-based method for
the identification of microRNA binding sites and their
corresponding heteroduplexes. Cell. 126:1203–1217. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Betel D, Wilson M, Gabow A, Marks DS and
Sander C: The microRNA.org resource: Targets and expression.
Nucleic Acids Res. 36(Database issue): D149–D153. 2008.PubMed/NCBI
|
|
19
|
Kruger J and Rehmsmeier M: RNAhybrid:
microRNA target prediction easy, fast and flexible. Nucleic Acids
Res. 34(Web Server issue): W451–W454. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Lewis BP, Shih IH, Jones-Rhoades MW,
Bartel DP and Burge CB: Prediction of mammalian microRNA targets.
Cell. 115:787–798. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Bindea G, Mlecnik B, Hackl H, Charoentong
P, Tosolini M, Kirilovsky A, Fridman WH, Pagès F, Trajanoski Z and
Galon J: ClueGO: A Cytoscape plug-in to decipher functionally
grouped gene ontology and pathway annotation networks.
Bioinformatics. 25:1091–1093. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Nersisyan L, Samsonyan R and Arakelyan A:
CyKEGGParser: Tailoring KEGG pathways to fit into systems biology
analysis workflows. F1000Res. 3:1452014.PubMed/NCBI
|
|
23
|
Szklarczyk D, Franceschini A, Wyder S,
Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos
A, Tsafou KP, et al: STRING v10: Protein-protein interaction
networks, integrated over the tree of life. Nucleic Acids Res.
43(Database issue): D447–D452. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
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
|
|
25
|
Tang Y, Li M, Wang J, Pan Y and Wu FX:
CytoNCA: A cytoscape plugin for centrality analysis and evaluation
of protein interaction networks. Biosystems. 127:67–72. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Saddik M, Gamble J, Witters LA and
Lopaschuk GD: Acetyl-CoA carboxylase regulation of fatty acid
oxidation in the heart. J Biol Chem. 268:25836–25845.
1993.PubMed/NCBI
|
|
27
|
Kwan HY, Yang Z, Fong WF, Hu YM, Yu ZL and
Hsiao WL: The anticancer effect of oridonin is mediated by fatty
acid synthase suppression in human colorectal cancer cells. Journal
of Gastroenterology. 48:182–192. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Mak L, Liggi S, Tan L, Kusonmano K,
Rollinger JM, Koutsoukas A, Glen RC and Kirchmair J: Anti-cancer
drug development: Computational strategies to identify and target
proteins involved in cancer metabolism. Curr Pharm Des. 19:532–577.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Wang MG, Yi H, Guerini D, Klee CB and
Mcbride OW: Calcineurin A alpha (PPP3CA), calcineurin A beta
(PPP3CB) and calcineurin B (PPP3R1) are located on human
chromosomes 4, 10q21→q22 and 2p16→p15 respectively. Cytogenet Cell
Genet. 72:236–241. 1996. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Ostenfeld MS, Bramsen JB, Lamy P,
Villadsen SB, Fristrup N, Sørensen KD, Ulhøi B, Borre M, Kjems J,
Dyrskjøt L and Orntoft TF: miR-145 induces caspase-dependent and
-independent cell death in urothelial cancer cell lines with
targeting of an expression signature present in Ta bladder tumors.
Oncogene. 29:1073–1084. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Gabrovska PN, Smith RA, Haupt LM and
Griffiths LR: Investigation of two Wnt signalling pathway single
nucleotide polymorphisms in a breast cancer-affected Australian
population. Twin Res Hum Genet. 14:562–567. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Buchholz M, Schatz A, Wagner M, Michl P,
Linhart T, Adler G, Gress TM and Ellenrieder V: Overexpression of
c-myc in pancreatic cancer caused by ectopic activation of NFATc1
and the Ca2+/calcineurin signaling pathway. Embo J. 25:3714–3724.
2006. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Liu Y, Zhang Y, Min J, Liu LL, Ma NQ, Feng
YM, Liu D, Wang PZ, Huang DD, Zhuang Y and Zhang HL: Calcineurin
promotes proliferation, migration, and invasion of small cell lung
cancer. Tumor Biol. 31:199–207. 2010. View Article : Google Scholar
|
|
34
|
Buchner M, Fuchs S, Prinz G, Pfeifer D,
Bartholomé K, Burger M, Chevalier N, Vallat L, Timmer J, Gribben
JG, et al: Spleen tyrosine kinase is overexpressed and represents a
potential therapeutic target in chronic lymphocytic leukemia.
Cancer Res. 69:5424–5432. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Göke F, Bode M, Franzen A, Kirsten R,
Goltz D, Göke A, Sharma R, Boehm D, Vogel W, Wagner P, et al:
Fibroblast growth factor receptor 1 amplification is a common event
in squamous cell carcinoma of the head and neck. Mod Pathol.
26:1298–1306. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Koole K, Brunen D, van Kempen PM, Noorlag
R, de Bree R, Lieftink C, van Es RJ, Bernards R and Willems SM:
FGFR1 Is a potential prognostic biomarker and therapeutic target in
head and neck squamous cell carcinoma. Clin Cancer Res.
22:3884–3893. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Koole K, Clausen MJ, van Es RJ, van Kempen
PM, Melchers LJ, Koole R, Langendijk JA, van Diest PJ, Roodenburg
JL, Schuuring E and Willems SM: FGFR family members protein
expression as prognostic markers in oral cavity and oropharyngeal
squamous cell carcinoma. Mol Diagn Ther. 20:363–374. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Bergmann C, Strauss L, Zeidler R, Lang S
and Whiteside TL: Expansion of human T regulatory type 1 cells in
the microenvironment of cyclooxygenase 2 overexpressing head and
neck squamous cell carcinoma. Cancer Res. 67:8865–8873. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Jebreel A, Mistry D, Loke D, Dunn G, Hough
V, Oliver K, Stafford N and Greenman J: Investigation of
interleukin 10, 12 and 18 levels in patients with head and neck
cancer. J Laryngol Otol. 121:246–252. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Allen CT, Ricker JL, Chen Z and Van Waes
C: Role of activated nuclear factor-kappaB in the pathogenesis and
therapy of squamous cell carcinoma of the head and neck. Head Neck.
29:959–971. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Kan X, Sun Y, Lu J, Li M, Wang Y, Li Q,
Liu Y, Liu M and Tian L: Co-inhibition of miRNA-21 and miRNA-221
induces apoptosis by enhancing the p53-mediated expression of
pro-apoptotic miRNAs in laryngeal squamous cell carcinoma. Mol Med
Rep. 13:4315–4320. 2016. View Article : Google Scholar : PubMed/NCBI
|
