|
1
|
Fock KM: Review article: The epidemiology
and prevention of gastric cancer. Aliment Pharmacol Ther.
40:250–260. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Orditura M, Galizia G, Sforza V,
Gambardella V, Fabozzi A, Laterza MM, Andreozzi F, Ventriglia J,
Savastano B, Mabilia A, et al: Treatment of gastric cancer. World J
Gastroenterol. 20:1635–1649. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Wagner AD, Unverzagt S, Grothe W, Kleber
G, Grothey A, Haerting J and Fleig WE: Chemotherapy for advanced
gastric cancer. Cochrane Database Syst Rev. CD0040642010.PubMed/NCBI
|
|
4
|
Scartozzi M, Galizia E, Verdecchia L,
Berardi R, Antognoli S, Chiorrini S and Cascinu S: Chemotherapy for
advanced gastric cancer: Across the years for a standard of care.
Expert Opin Pharmacother. 8:797–808. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Heravi R Entezari, Hadizadeh F, Sankian M,
Afshari J Tavakol, Taghdisi SM, Jafarian H and Behravan J: Novel
selective Cox-2 inhibitors induce apoptosis in Caco-2 colorectal
carcinoma cell line. Eur J Pharm Sci. 44:479–486. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Fischer SM, Hawk ET and Lubet RA: Coxibs
and other nonsteroidal anti-inflammatory drugs in animal models of
cancer chemoprevention. Cancer Prev Res (Phila). 4:1728–1735. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Kim N, Kim CH, Ahn DW, Lee KS, Cho SJ,
Park JH, Lee MK, Kim JS, Jung HC and Song IS: Anti-gastric cancer
effects of celecoxib, a selective COX-2 inhibitor, through
inhibition of Akt signaling. J Gastroenterol Hepatol. 24:480–487.
2009. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Wang YJ, Niu XP, Yang L, Han Z and Ma YJ:
Effects of celecoxib on cycle kinetics of gastric cancer cells and
protein expression of cytochrome C and caspase-9. Asian Pac J
Cancer Prev. 14:2343–2347. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Zhou Y, Ran J, Tang C, Wu J, Honghua L,
Xingwen L, Ning C and Qiao L: Effect of celecoxib on E-cadherin,
VEGF, Microvessel density and apoptosis in gastric cancer. Cancer
Biol Ther. 6:269–275. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Chen Z, Liu M, Liu X, Huang S, Li L, Song
B, Li H, Ren Q, Hu Z, Zhou Y and Qiao L: COX-2 regulates E-cadherin
expression through the NF-κB/Snail signaling pathway in gastric
cancer. Int J Mol Med. 32:93–100. 2013.PubMed/NCBI
|
|
11
|
Wang J, Ni Z, Duan Z, Wang G and Li F:
Altered expression of hypoxia-inducible factor-1α (HIF-1α) and its
regulatory genes in gastric cancer tissues. PLoS One. 9:e998352014.
View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Barrett T, Wilhite SE, Ledoux P,
Evangelista C, Kim IF, Tomashevsky M, Marshall KA, Phillippy KH,
Sherman PM and Holko M: NCBI GEO: Archive for functional genomics
data sets-update. Nucleic Acids Res. 41:(Database Issue).
D991–D995. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
R Development Core Team: R: A language and
environment for statistical computing. The R Foundation for
Statistical Computing. Vienna. 2012.
|
|
14
|
Irizarry RA, Hobbs B, Collin F,
Beazer-Barclay YD, Antonellis KJ, Scherf U and Speed TP:
Exploration, normalization, and summaries of high density
oligonucleotide array probe level data. Biostatistics. 4:249–264.
2003. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Smyth GK: limma: Linear models for
microarray dataBioinformatics and Computational Biology Solutions
Using R and Bioconductor. Gentleman R, Carey VJ, Huber W, Irizarry
RA and Dudoit S: Springer; New York: pp. 397–420. 2005, View Article : Google Scholar
|
|
16
|
Benjamini Y and Hochberg Y: Controlling
the false discovery rate: A practical and powerful approach to
multiple testing. J Royal Statistical Soc, Series B
(Methodological). 289–300. 1995.
|
|
17
|
Szekely GJ and Rizzo ML: Hierarchical
clustering via joint between-within distances: Extending Ward's
minimum variance method. J Classification. 22:151–183. 2005.
View Article : Google Scholar
|
|
18
|
Huangda W, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
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
|
|
20
|
Kerrien S, Aranda B, Breuza L, Bridge A,
Broackes-Carter F, Chen C, Duesbury M, Dumousseau M, Feuermann M,
Hinz U, et al: The IntAct molecular interaction database in 2012.
Nucleic Acids Res. 40:(Database Issue). D841–D846. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Xenarios I, Salwinski L, Duan XJ, Higney
P, Kim SM and Eisenberg D: DIP, the database of interacting
proteins: A research tool for studying cellular networks of protein
interactions. Nucleic Acids Res. 30:303–305. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Bader GD, Betel D and Hogue CW: BIND: The
biomolecular interaction network database. Nucleic Acids Res.
31:248–250. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Peri S, Navarro JD, Kristiansen TZ,
Amanchy R, Surendranath V, Muthusamy B, Gandhi TK, Chandrika KN,
Deshpande N, Suresh S, et al: Human protein reference database as a
discovery resource for proteomics. Nucleic Acids Res. 32:(Database
Issue). D497–D501. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Rual JF, Venkatesan K, Hao T,
Hirozane-Kishikawa T, Dricot A, Li N, Berriz GF, Gibbons FD, Dreze
M, Ayivi-Guedehoussou N, et al: Towards a proteome-scale map of the
human protein-protein interaction network. Nature. 437:1173–1178.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Stelzl U, Worm U, Lalowski M, Haenig C,
Brembeck FH, Goehler H, Stroedicke M, Zenkner M, Schoenherr A,
Koeppen S, et al: A human protein-protein interaction network: A
resource for annotating the proteome. Cell. 122:957–968. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Ramani AK, Bunescu RC, Mooney RJ and
Marcotte EM: Consolidating the set of known human protein-protein
interactions in preparation for large-scale mapping of the human
interactome. Genome Biol. 6:R402005. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Kohl M, Wiese S and Warscheid B:
Cytoscape: Software for visualization and analysis of biological
networks. Methods Mol Biol. 696:291–303. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Nakao T, Kurita N, Komatsu M, Yoshikawa K,
Iwata T, Utsunomiya T and Shimada M: Expression of thrombospondin-1
and Ski are prognostic factors in advanced gastric cancer. Int J
Clin Oncol. 16:145–152. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Bai Z, Ye Y, Liang B, Xu F, Zhang H, Zhang
Y, Peng J, Shen D, Cui Z, Zhang Z and Wang S: Proteomics-based
identification of a group of apoptosis-related proteins and
biomarkers in gastric cancer. Int J Oncol. 38:375–383.
2011.PubMed/NCBI
|
|
30
|
Sun GG, Sheng SH, Jing SW and Hu WN: An
antiproliferative gene FLNA regulates migration and invasion of
gastric carcinoma cell in vitro and its clinical significance.
Tumour Biol. 35:2641–2648. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Kwon OH, Park JL, Kim M, Kim JH, Lee HC,
Kim HJ, Noh SM, Song KS, Yoo HS, Paik SG, et al: Aberrant
up-regulation of LAMB3 and LAMC2 by promoter demethylation in
gastric cancer. Biochem Biophys Res Commun. 406:539–545. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Huang J, Li J, Qu Y, Zhang J, Zhang L,
Chen X, Liu B and Zhu Z: The expression of Claudin 1 correlates
with β-catenin and is a prognostic factor of poor outcome in
gastric cancer. Int J Oncol. 44:1293–1301. 2014.PubMed/NCBI
|
|
33
|
Rubashkin MG, Cassereau L, Bainer R,
DuFort CC, Yui Y, Ou G, Paszek MJ, Davidson MW, Chen YY and Weaver
VM: Force engages vinculin and promotes tumor progression by
enhancing PI3K activation of phosphatidylinositol
(3,4,5)-triphosphate. Cancer Res. 74:4597–4611. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Wang Y, Kuramitsu Y, Ueno T, Suzuki N,
Yoshino S, Iizuka N, Zhang X, Akada J, Oka M and Nakamura K:
Proteomic differential display identifies upregulated vinculin as a
possible biomarker of pancreatic cancer. Oncol Rep. 28:1845–1850.
2012.PubMed/NCBI
|
|
35
|
Ruiz C, Holz DR, Oeggerli M, Schneider S,
Gonzales IM, Kiefer JM, Zellweger T, Bachmann A, Koivisto PA, Helin
HJ, et al: Amplification and overexpression of vinculin are
associated with increased tumour cell proliferation and progression
in advanced prostate cancer. J Pathol. 223:543–552. 2011.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Moese S, Selbach M, Brinkmann V, Karlas A,
Haimovich B, Backert S and Meyer TF: The Helicobacter pylori CagA
protein disrupts matrix adhesion of gastric epithelial cells by
dephosphorylation of vinculin. Cell Microbiol. 9:1148–1161. 2007.
View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Goldmann WH, Auernheimer V, Thievessen I
and Fabry B: Vinculin, cell mechanics and tumour cell invasion.
Cell Biol Int. 37:397–405. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Weiskirchen R and Günther K: The
CRP/MLP/TLP family of LIM domain proteins: Acting by connecting.
Bioessays. 25:152–162. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Petit V and Thiery JP: Focal adhesions:
Structure and dynamics. Biol Cell. 92:477–494. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Enarsson K, Lundin BS, Johnsson E,
Brezicka T and Quiding-Järbrink M: CD4+ CD25high regulatory T cells
reduce T cell transendothelial migration in cancer patients. Eur J
Immunol. 37:282–291. 2007. View Article : Google Scholar : PubMed/NCBI
|
