|
1
|
Ferlay J, Shin HR, Bray F, Forman D,
Mathers C and Parkin DM: Estimates of worldwide burden of cancer in
2008: GLOBOCAN 2008. Int J Cancer. 127:2893–2917. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Jemal A, Center MM, DeSantis C and Ward
EM: Global patterns of cancer incidence and mortality rates and
trends. Cancer Epidemiol Biomarkers Prev. 19:1893–1907. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Mackay J, Eriksen M and Shafey O: The
Tobacco Atlas. 2nd edition. American Cancer Society; Atlanta, GA:
2006
|
|
4
|
Hong WK, Bast RC, Hait WN, Kufe DW,
Pollock RE, Weichselbaum RR, Holland HF and Frei E III: Cancer
Medicine. 8th edition. PMPH; New York, NY: 2010
|
|
5
|
Garber ME, Troyanskaya OG, Schluens K,
Petersen S, Thaesler Z, Pacyna-Gengelbach M, van de Rijn M, Rosen
GD, Perou CM, Whyte RI, et al: Diversity of gene expression in
adenocarcinoma of the lung. Proc Natl Acad Sci USA. 98:13784–13789.
2001. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Director’s Challenge Consortium for the
Molecular Classification of Lung Adenocarcinoma. Shedden K, Taylor
JM, Enkemann SA, Tsao MS, Yeatman TJ, Gerald WL, Eschrich S,
Jurisica I, Giordano TJ, Misek DE, et al: Gene expression-based
survival prediction in lung adenocarcinoma: a multi-site, blinded
validation study. Nat Med. 2008.14:822–827
|
|
7
|
Stearman RS, Dwyer-Nield L, Zerbe L,
Blaine SA, Chan Z, Bunn PA Jr, Johnson GL, Hirsch FR, Merrick DT,
Franklin WA, et al: Analysis of orthologous gene expression between
human pulmonary adenocarcinoma and a carcinogen-induced murine
model. Am J Pathol. 167:1763–1775. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Jiang H, Deng Y, Chen HS, Tao L, Sha Q,
Chen J, Tsai CJ and Zhang S: Joint analysis of two microarray
gene-expression data sets to select lung adenocarcinoma marker
genes. BMC Bioinformatics. 5:812004. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Ron D, Chen CH, Caldwell J, Jamieson L,
Orr E and Mochly-Rosen D: Cloning of an intracellular receptor for
protein kinase C: a homolog of the beta subunit of G proteins. Proc
Natl Acad Sci USA. 91:839–843. 1994. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Nagashio R, Sato Y, Matsumoto T, Kageyama
T, Satoh Y, Shinichiro R, Masuda N, Goshima N, Jiang SX and Okayasu
I: Expression of RACK1 is a novel biomarker in pulmonary
adenocarcinomas. Lung Cancer. 69:54–59. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Saito RA, Watabe T, Horiguchi K, Kohyama
T, Saitoh M, Nagase T and Miyazono K: Thyroid transcription
factor-1 inhibits transforming growth factor-β-mediated
epithelial-to-mesenchymal transition in lung adenocarcinoma cells.
Cancer Res. 69:2783–2791. 2009.
|
|
12
|
Fang G, Kuang R, Pandey G, Steinbach M,
Myers CL and Kumar V: Subspace differential coexpression analysis:
problem definition and a general approach. Pac Symp Biocomput.
145–156. 2010.PubMed/NCBI
|
|
13
|
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
|
|
14
|
Diboun I, Wernisch L, Orengo CA and
Koltzenburg M: Microarray analysis after RNA amplification can
detect pronounced differences in gene expression using limma. BMC
Genomics. 7:2522006. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Lee HK, Hsu AK, Sajdak J, Qin J and
Pavlidis P: Coexpression analysis of human genes across many
microarray data sets. Genome Res. 14:1085–1094. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Stuart JM, Segal E, Koller D and Kim SK: A
gene-coexpression network for global discovery of conserved genetic
modules. Science. 302:249–255. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Liu BH, Yu H, Tu K, Li C, Li YX and Li YY:
DCGL: an R package for identifying differentially coexpressed genes
and links from gene expression microarray data. Bioinformatics.
26:2637–2638. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Yu H, Liu BH, Ye ZQ, Li C, Li YX and Li
YY: Link-based quantitative methods to identify differentially
coexpressed genes and gene pairs. BMC Bioinformatics. 12:3152011.
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
|
Huang da W, Sherman BT, Tan Q, Collins JR,
Alvord G, Roayaei J, Stephens R, Baseler MW, Lane HC and Lempicki
RA: The DAVID Gene Functional Classification Tool: a novel
biological module-centric algorithm to functionally analyze large
gene lists. Genome Biol. 8:R1832007.PubMed/NCBI
|
|
21
|
Wingender E, Chen X, Hehl R, Karas H,
Liebich I, Matys V, Meinhardt T, Prüss M, Reuter I and Schacherer
F: TRANSFAC: an integrated system for gene expression regulation.
Nucleic Acids Res. 28:316–319. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
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 : PubMed/NCBI
|
|
23
|
Chen G, Gharib TG, Wang H, Huang CC, Kuick
R, Thomas DG, Shedden KA, Misek DE, Taylor JM, Giordano TJ, et al:
Protein profiles associated with survival in lung adenocarcinoma.
Proc Natl Acad Sci USA. 100:13537–13542. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Perumal SS, Shanthi P and Sachdanandam P:
Therapeutic effect of tamoxifen and energy-modulating vitamins on
carbohydrate-metabolizing enzymes in breast cancer. Cancer
Chemother Pharmacol. 56:105–114. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Oikawa T and Yamada T: Molecular biology
of the Ets family of transcription factors. Gene. 303:11–34. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Sankar S, Gomez NC, Bell R, Patel M, Davis
IJ, Lessnick SL and Luo W: EWS and RE1-silencing transcription
factor inhibit neuronal phenotype development and oncogenic
transformation in Ewing sarcoma. Genes Cancer. 4:213–223. 2013.
View Article : Google Scholar
|
|
27
|
Lüdtke TH, Farin HF, Rudat C,
Schuster-Gossler K, Petry M, Barnett P, Christoffels VM and Kispert
A: Tbx2 controls lung growth by direct repression of the cell cycle
inhibitor genes Cdkn1a and Cdkn1b. PLoS Genet.
9:e10031892013.PubMed/NCBI
|
|
28
|
Cazzalini O, Scovassi AI, Savio M, Stivala
LA and Prosperi E: Multiple roles of the cell cycle inhibitor
p21(CDKN1A) in the DNA damage response. Mutat Res. 704:12–20. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Choudhury AR, Ju Z, Djojosubroto MW,
Schienke A, Lechel A, Schaetzlein S, Jiang H, Stepczynska A, Wang
C, Buer J, et al: Cdkn1a deletion improves stem cell function and
lifespan of mice with dysfunctional telomeres without accelerating
cancer formation. Nat Genet. 39:99–105. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Schwentner R: Molecular mechanisms of
transcriptional repression by the EWS-FLI1 oncogene in Ewing’s
sarcoma. PhD dissertation. University of Vienna. Publication no.
AC07884381. 2008
|
|
31
|
Riggi N, Cironi L, Provero P, Suvà ML,
Kaloulis K, Garcia-Echeverria C, Hoffmann F, Trumpp A and
Stamenkovic I: Development of Ewing’s sarcoma from primary bone
marrow-derived mesenchymal progenitor cells. Cancer Res.
65:11459–11468. 2005.
|
|
32
|
Liu AY, Corey E, Vessella RL, Lange PH,
True LD, Huang GM, Nelson PS and Hood L: Identification of
differentially expressed prostate genes: increased expression of
transcription factor ETS-2 in prostate cancer. Prostate.
30:145–153. 1997. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Butticé G and Kurkinen M: Oncogenes
control stromelysin and collagenase gene expression. Contrib
Nephrol. 107:101–107. 1994.PubMed/NCBI
|
|
34
|
Sudol M: From Rous sarcoma virus to
plasminogen activator, src oncogene and cancer management.
Oncogene. 30:3003–3010. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Watanabe T, Miura T, Degawa Y, Fujita Y,
Inoue M, Kawaguchi M and Furihata C: Comparison of lung cancer cell
lines representing four histopathological subtypes with gene
expression profiling using quantitative real-time PCR. Cancer Cell
Int. 10:22010. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Ibanez de Caceres I, Dulaimi E, Hoffman
AM, Al-Saleem T, Uzzo RG and Cairns P: Identification of novel
target genes by an epigenetic reactivation screen of renal cancer.
Cancer Res. 66:5021–5028. 2006.PubMed/NCBI
|
|
37
|
Maness L, Goktepe I, Chen H, Ahmedna M and
Sang S: Impact of Phytolacca americana extracts on gene
expression of colon cancer cells. Phytother Res. Apr 4–2013.(Epub
ahead of print). View
Article : Google Scholar
|
|
38
|
Cirillo G, Casalino L, Vallone D,
Caracciolo A, De Cesare D and Verde P: Role of distinct
mitogen-activated protein kinase pathways and cooperation between
Ets-2, ATF-2, and Jun family members in human urokinase-type
plasminogen activator gene induction by interleukin-1 and
tetradecanoyl phorbol acetate. Mol Cell Biol. 19:6240–6252.
1999.
|
|
39
|
Gervasi M, Bianchi-Smiraglia A, Cummings
M, Zheng Q, Wang D, Liu S and Bakin AV: JunB contributes to Id2
repression and the epithelial-mesenchymal transition in response to
transforming growth factor-β. J Cell Biol. 196:589–603.
2012.PubMed/NCBI
|
|
40
|
Yang MY, Liu TC, Chang JG, Lin PM and Lin
SF: JunB gene expression is inactivated by methylation in chronic
myeloid leukemia. Blood. 101:3205–3211. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Liu PL, Tsai JR, Hwang JJ, Chou SH, Cheng
YJ, Lin FY, Chen YL, Hung CY, Chen WC, Chen YH and Chong IW:
High-mobility group box 1-mediated matrix metalloproteinase-9
expression in non-small cell lung cancer contributes to tumor cell
invasiveness. Am J Resp Cell Mol Biol. 43:530–538. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Sahin A, Vercamer C, Kaminski A, Fuchs T,
Florin A, Hahne JC, Mattot V, Pourtier-Manzanedo A, Pietsch T,
Fafeur V and Wernert N: Dominant-negative inhibition of Ets 1
suppresses tumor growth, invasion and migration in rat C6 glioma
cells and reveals differentially expressed Ets 1 target genes. Int
J Oncol. 34:3772009.
|
|
43
|
Cha ST, Chen PS, Johansson G, Chu CY, Wang
MY, Jeng YM, Yu SL, Chen JS, Chang KJ, Jee SH, et al: MicroRNA-519c
suppresses hypoxia-inducible factor-1 alpha expression and tumor
angiogenesis. Cancer Res. 70:2675–2685. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Alexopoulou AN, Leao M, Caballero OL, Da
Silva L, Reid L, Lakhani SR, Simpson AJ, Marshall JF, Neville AM
and Jat PS: Dissecting the transcriptional networks underlying
breast cancer: NR4A1 reduces the migration of normal and breast
cancer cell lines. Breast Cancer Res. 12:R512010. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Lee SO, Li X, Khan S and Safe S: Targeting
NR4A1 (TR3) in cancer cells and tumors. Expert Opin Ther Targets.
15:195–206. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Robbins GT and Nie D: PPARgamma, bioactive
lipids, and cancer progression. Front Biosci (Landmark Ed).
17:1816–1834. 2012. View
Article : Google Scholar : PubMed/NCBI
|
|
47
|
Clements A, Engle D, Shelton D, Neff T,
Park S, Bender D, Ahmed A, De Geest K, Button A, Engelhardt JF and
Goodheart M: Lymphoid Enhancing Factor 1 (Lef-1) overexpression in
epithelial ovarian, fallopian tube and peritoneal cancer and
associations with clinical factors. Proc Obstet Gynecol. 2:1–2.
2011.
|
|
48
|
Tomlins SA, Mehra R, Rhodes DR, Smith LR,
Roulston D, Helgeson BE, Cao X, Wei JT, Rubin MA, Shah RB and
Chinnaiyan AM: TMPRSS2: ETV4 gene fusions define a third molecular
subtype of prostate cancer. Cancer Res. 66:3396–3400. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Darnell JE Jr: Transcription factors as
targets for cancer therapy. Nat Rev Cancer. 2:740–749. 2002.
View Article : Google Scholar : PubMed/NCBI
|
