1
|
Chang ET and Adami HO: The enigmatic
epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol
Biomarkers Prev. 15:1765–1777. 2006. View Article : Google Scholar : PubMed/NCBI
|
2
|
Wong AM, Kong KL, Tsang JW, Kwong DL and
Guan XY: Profiling of Epstein, Barr virus, encoded microRNAs in
nasopharyngeal carcinoma reveals potential biomarkers and oncomirs.
Cancer. 118:698–710. 2012. View Article : Google Scholar
|
3
|
Dawson CW, Port RJ and Young LS: The role
of the EBV-encoded latent membrane proteins LMP1 and LMP2 in the
pathogenesis of nasopharyngeal carcinoma (NPC). Semin Cancer Biol.
22:144–153. 2012. View Article : Google Scholar : PubMed/NCBI
|
4
|
Fachiroh J, Sangrajrang S, Johansson M,
Renard H, Gaborieau V, Chabrier A, Chindavijak S, Brennan P and
McKay JD: Tobacco consumption and genetic susceptibility to
nasopharyngeal carcinoma (NPC) in Thailand. Cancer Causes Control.
23:1995–2002. 2012. View Article : Google Scholar : PubMed/NCBI
|
5
|
Wei WI and Sham JS: Nasopharyngeal
carcinoma. Lancet. 365:2041–2054. 2005. View Article : Google Scholar : PubMed/NCBI
|
6
|
Siddique MA, Sabur MA, Kundu SC, Mostafa
MG, Khan JA, Ahmed S, Karim MA and Hanif MA: Difficulty in
diagnosis of nasopharyngeal carcinoma. Mymensingh Med J.
21:158–161. 2012.PubMed/NCBI
|
7
|
Huang GL, Chen ML, Li YZ, Lu Y, Pu XX, He
YX, Tang SY, Chen H, Ding C and He Z: Association of miR-146a gene
polymorphism with risk of nasopharyngeal carcinoma in the
central-southern Chinese population. J Hum Genet. 59:141–144. 2014.
View Article : Google Scholar : PubMed/NCBI
|
8
|
Hsu CY, Yi YH, Chang KP, Chang YS, Chen SJ
and Chen HC: The Epstein-Barr virus-encoded microRNA MiR-BART9
promotes tumor metastasis by targeting E-cadherin in nasopharyngeal
carcinoma. Plos Pathog. 10:e10039742014. View Article : Google Scholar : PubMed/NCBI
|
9
|
Segal E, Wang H and Koller D: Discovering
molecular pathways from protein interaction and gene expression
data. Bioinformatics. 19:i264–i271. 2003. View Article : Google Scholar : PubMed/NCBI
|
10
|
Ideker T, Ozier O, Schwikowski B and
Siegel AF: Discovering regulatory and signalling circuits in
molecular interaction networks. Bioinformatics. 18(Suppl 1):
S233–S240. 2002. View Article : Google Scholar : PubMed/NCBI
|
11
|
Moore JH, Asselbergs FW and Williams SM:
Bioinformatics challenges for genome-wide association studies.
Bioinformatics. 26:445–455. 2010. View Article : Google Scholar : PubMed/NCBI
|
12
|
Albert R, Jeong H and Barabási AL: Error
and attack tolerance of complex networks. Nature. 406:378–382.
2000. View
Article : Google Scholar : PubMed/NCBI
|
13
|
Jeong H, Mason SP, Barabási AL and Oltvai
ZN: Lethality and centrality in protein networks. Nature.
411:41–42. 2001. View
Article : Google Scholar : PubMed/NCBI
|
14
|
Csermely P, Agoston V and Pongor S: The
efficiency of multi-target drugs: The network approach might help
drug design. Trends Pharmacol Sci. 26:178–182. 2005. View Article : Google Scholar : PubMed/NCBI
|
15
|
Barrett T, Troup DB, Wilhite SE, Ledoux P,
Rudnev D, Evangelista C, Kim IF, Soboleva A, Tomashevsky M and
Edgar R: NCBI GEO: Mining tens of millions of expression
profiles–database and tools update. Nucleic Acids Res. 35(Database
Issue): D760–D765. 2007. View Article : Google Scholar
|
16
|
Fujita A, Sato JR, Rodrigues Lde O,
Ferreira CE and Sogayar MC: Evaluating different methods of
microarray data normalization. BMC Bioinformatics. 7:4692006.
View Article : Google Scholar : PubMed/NCBI
|
17
|
Smyth GK: Limma: Linear models for
microarray data. Bioinformatics and Computational Biology Solutions
Using R and Bioconductor. Gentleman R, Carey V, Dudoit S, Irizarry
R and Huber W: Springer; New York: pp. 397–420. 2005, View Article : Google Scholar
|
18
|
Noble WS: How does multiple testing
correction work? Nat Biotechnol. 27:1135–1137. 2009. View Article : Google Scholar : PubMed/NCBI
|
19
|
He L and Sarkar SK: On improving some
adaptive BH procedures controlling the FDR under dependence.
Electron J Statist. 7:2683–2701. 2013. View Article : Google Scholar
|
20
|
Szekely GJ and Rizzo ML: Hierarchical
clustering via joint between-within distances: Extending Ward's
minimum variance method. J Classif. 22:151–183. 2005. View Article : Google Scholar
|
21
|
Albert R: Scale-free networks in cell
biology. J Cell Sci. 118:4947–4957. 2005. View Article : Google Scholar : PubMed/NCBI
|
22
|
Franceschini A, Szklarczyk D, Frankild S,
Kuhn M, Simonovic M, Roth A, Lin J, Minguez P, Bork P, von Mering
C, et al: STRING v9.1: protein-protein interaction networks, with
increased coverage and integration. Nucleic Acids Res. 41(Database
Issue): D808–D815. 2013. View Article : Google Scholar :
|
23
|
Przulj N, Wigle NA and Jurisica I:
Functional topology in a network of protein interactions.
Bioinformatics. 20:340–348. 2004. View Article : Google Scholar : PubMed/NCBI
|
24
|
Bader GD and Hogue CW: An automated method
for finding molecular complexes in large protein interaction
networks. BMC Bioinformatics. 4:22003. View Article : Google Scholar : PubMed/NCBI
|
25
|
Smoot ME, Ono K, Ruscheinski J, Wang PL
and Ideker T: Cytoscape 2.8: New features for data integration and
network visualization. Bioinformatics. 27:431–432. 2011. View Article : Google Scholar :
|
26
|
Ashburner M, Ball CA, Blake JA, Botstein
D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT,
et al: Gene Ontology: Tool for the unification of biology. The Gene
Ontology Consortium. Nat Genet. 25:25–29. 2000. View Article : Google Scholar : PubMed/NCBI
|
27
|
Maere S, Heymans K and Kuiper M: BiNGO: A
Cytoscape plugin to assess overrepresentation of gene ontology
categories in biological networks. Bioinformatics. 21:3448–3449.
2005. View Article : Google Scholar : PubMed/NCBI
|
28
|
Zhu XF, Liu ZC, Xie BF, Li ZM, Feng GK,
Yang D and Zeng YX: EGFR tyrosine kinase inhibitor AG1478 inhibits
cell proliferation and arrests cell cycle in nasopharyngeal
carcinoma cells. Cancer Lett. 169:27–32. 2001. View Article : Google Scholar : PubMed/NCBI
|
29
|
Guo L, Tang M, Yang L, Xiao L, Bode AM, Li
L, Dong Z and Cao Y: Epstein-Barr virus oncoprotein LMP1 mediates
survivin upregulation by p53 contributing to G1/S cell cycle
progression in nasopharyngeal carcinoma. Int J Mol Med.
29:5742012.PubMed/NCBI
|
30
|
Desai A, Qing Y and Gerson SL: Exonuclease
1 is a critical mediator of survival during DNA double strand break
repair in nonquiescent hematopoietic stem and progenitor cells.
Stem Cells. 32:582–593. 2014. View Article : Google Scholar : PubMed/NCBI
|
31
|
Zhou X, Tian D, Wang S, Ruan Y, Qiu B,
Zhang L and Lu B: Expressions of genes related to genome stability
and DNA repair in nasopharyngeal carcinoma clustering families.
Chin Ger J Clin Oncol. 8:713–718. 2009. View Article : Google Scholar
|
32
|
Liao H, Winkfein R, Mack G, Rattner JB and
Yen TJ: CENP-F is a protein of the nuclear matrix that assembles
onto kinetochores at late G2 and is rapidly degraded after mitosis.
J Cell Biol. 130:507–518. 1995. View Article : Google Scholar : PubMed/NCBI
|
33
|
Cao JY, Liu L, Chen SP, Zhang X, Mi YJ,
Liu ZG, Li MZ, Zhang H, Qian CN, Shao JY, et al: Prognostic
significance and therapeutic implications of centromere protein F
expression in human nasopharyngeal carcinoma. Mol Cancer.
9:2372010. View Article : Google Scholar : PubMed/NCBI
|
34
|
Liao WT, Song LB, Zhang HZ, Zhang X, Zhang
L, Liu WL, Feng Y, Guo BH, Mai HQ, Cao SM, et al: Centromere
protein H is a novel prognostic marker for nasopharyngeal carcinoma
progression and overall patient survival. Clin Cancer Res.
13:508–514. 2007. View Article : Google Scholar : PubMed/NCBI
|
35
|
Piekny AJ and Glotzer M: Anillin is a
scaffold protein that links RhoA, actin and myosin during
cytokinesis. Curr Biol. 18:30–36. 2008. View Article : Google Scholar
|
36
|
Suzuki C, Daigo Y, Ishikawa N, Kato T,
Hayama S, Ito T, Tsuchiya E and Nakamura Y: ANLN plays a critical
role in human lung carcinogenesis through the activation of RHOA
and by involvement in the phosphoinositide 3-kinase/AKT pathway.
Cancer Res. 65:11314–11325. 2005. View Article : Google Scholar : PubMed/NCBI
|
37
|
Abe Y, Matsumoto S, Kito K and Ueda N:
Cloning and expression of a novel MAPKK-like protein kinase,
lymphokine-activated killer T-cell-originated protein kinase,
specifically expressed in the testis and activated lymphoid cells.
J Biol Chem. 275:21525–21531. 2000. View Article : Google Scholar : PubMed/NCBI
|
38
|
Ayllon V and O'connor R: PBK/TOPK promotes
tumour cell proliferation through p38 MAPK activity and regulation
of the DNA damage response. Oncogene. 26:3451–3461. 2007.
View Article : Google Scholar
|
39
|
Zykova TA, Zhu F, Lu C, Higgins L, Tatsumi
Y, Abe Y, Bode AM and Dong Z: Lymphokine-activated killer
T-cell-originated protein kinase phosphorylation of histone H2AX
prevents arsenite-induced apoptosis in RPMI7951 melanoma cells.
Clin Cancer Res. 12:6884–6893. 2006. View Article : Google Scholar : PubMed/NCBI
|