1
|
Haggar FA and Boushey RP: Colorectal
cancer epidemiology: Incidence, mortality, survival, and risk
factors. Clin Colon Rectal Surg. 22:191–197. 2009. View Article : Google Scholar :
|
2
|
Siegel R, Desantis C and Jemal A:
Colorectal cancer statistics, 2014. CA Cancer J Clin. 64:104–117.
2014. View Article : Google Scholar : PubMed/NCBI
|
3
|
Zhang B, Jia WH, Matsuda K, Kweon SS,
Matsuo K, Xiang YB, Shin A, Jee SH, Kim DH, Cai Q, et al: Genetics
and Epidemiology of Colorectal Cancer Consortium (GECCO);
Colorectal Transdisciplinary (CORECT) Study; Colon Cancer Family
Registry (CCFR): Large-scale genetic study in East Asians
identifies six new loci associated with colorectal cancer risk. Nat
Genet. 46:533–542. 2014. View
Article : Google Scholar : PubMed/NCBI
|
4
|
Zhang W, Glöckner SC, Guo M, Machida EO,
Wang DH, Easwaran H, Van Neste L, Herman JG, Schuebel KE, Watkins
DN, et al: Epigenetic inactivation of the canonical Wnt antagonist
SRY-box containing gene 17 in colorectal cancer. Cancer Res.
68:2764–2772. 2008. View Article : Google Scholar : PubMed/NCBI
|
5
|
Kunnumakkara AB, Diagaradjane P, Guha S,
Deorukhkar A, Shentu S, Aggarwal BB and Krishnan S: Curcumin
sensitizes human colorectal cancer xenografts in nude mice to
gamma-radiation by targeting nuclear factor-kappaB-regulated gene
products. Clin Cancer Res. 14:2128–2136. 2008. View Article : Google Scholar : PubMed/NCBI
|
6
|
Chaffer CL and Weinberg RA: A perspective
on cancer cell metastasis. Science. 331:1559–1564. 2011. View Article : Google Scholar : PubMed/NCBI
|
7
|
Di Nicolantonio F, Martini M, Molinari F,
Sartore-Bianchi A, Arena S, Saletti P, De Dosso S, Mazzucchelli L,
Frattini M, Siena S, et al: Wild-type BRAF is required for response
to panitumumab or cetuximab in metastatic colorectal cancer. J Clin
Oncol. 26:5705–5712. 2008. View Article : Google Scholar : PubMed/NCBI
|
8
|
Rychahou PG, Kang J, Gulhati P, Doan HQ,
Chen LA, Xiao SY, Chung DH and Evers BM: Akt2 overexpression plays
a critical role in the establishment of colorectal cancer
metastasis. Proc Natl Acad Sci USA. 105:20315–20320. 2008.
View Article : Google Scholar : PubMed/NCBI
|
9
|
Jorissen RN, Gibbs P, Christie M, Prakash
S, Lipton L, Desai J, Kerr D, Aaltonen LA, Arango D, Kruhøffer M,
et al: Metastasis-associated gene expression changes predict poor
outcomes in patients with dukes stage B and C colorectal cancer.
Clin Cancer Res. 15:7642–7651. 2009. View Article : Google Scholar : PubMed/NCBI
|
10
|
Smith JJ, Deane NG, Wu F, Merchant NB,
Zhang B, Jiang A, Lu P, Johnson JC, Schmidt C, Bailey CE, et al:
Experimentally derived metastasis gene expression profile predicts
recurrence and death in patients with colon cancer.
Gastroenterology. 138:958–968. 2010. View Article : Google Scholar
|
11
|
Ben-Hur A and Weston J: A user's guide to
support vector machines. Humana Press; 2010
|
12
|
Mourao-Miranda J, Reinders AA, Rocha-Rego
V, Lappin J, Rondina J, Morgan C, Morgan KD, Fearon P, Jones PB,
Doody GA, et al: Individualized prediction of illness course at the
first psychotic episode: A support vector machine MRI study.
Psychol Med. 42:1037–1047. 2012. View Article : Google Scholar :
|
13
|
Henneges C, Bullinger D, Fux R, Friese N,
Seeger H, Neubauer H, Laufer S, Gleiter CH, Schwab M, Zell A, et
al: Prediction of breast cancer by profiling of urinary RNA
metabolites using support vector machine-based feature selection.
BMC Cancer. 9:1042009. View Article : Google Scholar : PubMed/NCBI
|
14
|
Gabere MN, Hussein MA and Aziz MA:
Filtered selection coupled with support vector machines generate a
functionally relevant prediction model for colorectal cancer. Onco
Targets Ther. 9:3313–3325. 2016.PubMed/NCBI
|
15
|
Gross AM, Kreisberg JF and Ideker T:
Analysis of matched tumor and normal profiles reveals common
transcriptional and epigenetic signals shared across cancer types.
PLoS One. 10:e01426182015. View Article : Google Scholar : PubMed/NCBI
|
16
|
Del Rio M, Mollevi C, Vezzio-Vie N, Bibeau
F, Ychou M and Martineau P: Specific extracellular matrix
remodeling signature of colon hepatic metastases. PLoS One.
8:e74599. 2013. View Article : Google Scholar : PubMed/NCBI
|
17
|
Lin AY, Chua MS, Choi YL, Yeh W, Kim YH,
Azzi R, Adams GA, Sainani K, van de Rijn M, So SK, et al:
Comparative profiling of primary colorectal carcinomas and liver
metastases identifies LEF1 as a prognostic biomarker. PLoS One.
6:e166362011. View Article : Google Scholar : PubMed/NCBI
|
18
|
Stange DE, Engel F, Longerich T, Koo BK,
Koch M, Delhomme N, Aigner M, Toedt G, Schirmacher P, Lichter P, et
al: Expression of an ASCL2 related stem cell signature and IGF2 in
colorectal cancer liver metastases with 11p15.5 gain. Gut.
59:1236–1244. 2010. View Article : Google Scholar : PubMed/NCBI
|
19
|
Ki DH, Jeung HC, Park CH, Kang SH, Lee GY,
Lee WS, Kim NK, Chung HC and Rha SY: Whole genome analysis for
liver metastasis gene signatures in colorectal cancer. Int J
Cancer. 121:2005–2012. 2007. View Article : Google Scholar : PubMed/NCBI
|
20
|
Cho WK, Geimer S and Meurer J: Cluster
analysis and comparison of various chloroplast transcriptomes and
genes in Arabidopsis thaliana. DNA Res. 16:31–44. 2009. View Article : Google Scholar :
|
21
|
Bolstad BM, Irizarry RA, Astrand M and
Speed TP: A comparison of normalization methods for high density
oligonucleotide array data based on variance and bias.
Bioinformatics. 19:185–193. 2003. View Article : Google Scholar : PubMed/NCBI
|
22
|
Smyth GK; Limma: Linear models for
microarray data: Bioinformatics and Computational Biology Solutions
Using R and Bioconductor. Gentleman R, Carey VJ, Huber W, Irizarry
RA and Dudoit S: Statistics for Biology and Health. Springer; New
York, NY: 2005
|
23
|
Kang DD, Sibille E, Kaminski N and Tseng
GC: MetaQC: objective quality control and inclusion/exclusion
criteria for genomic meta-analysis. Nucleic Acids Res. 40:e152012.
View Article : Google Scholar :
|
24
|
Keshava Prasad TS, Goel R, Kandasamy K,
Keerthikumar S, Kumar S, Mathivanan S, Telikicherla D, Raju R,
Shafreen B, Venugopal A, et al: human Protein Reference Database -
2009 update. Nucleic Acids Res. 37:D767–D772. 2009. View Article : Google Scholar
|
25
|
Stark C, Breitkreutz BJ, Chatr-Aryamontri
A, Boucher L, Oughtred R, Livstone MS, Nixon J, Van Auken K, Wang
X, Shi X, et al: The BioGRID Interaction Database: 2011 update.
Nucleic Acids Res. 39:D698–D704. 2011. View Article : Google Scholar :
|
26
|
Kintali S: Betweenness Centrality :
Algorithms and Lower Bounds. Comput Sci. 0809.1906v22008.
|
27
|
Guyon I, Weston J, Barnhill S and Vapnik
V: Gene Selection for Cancer Classification using Support Vector
Machines. Mach Learn. 46:389–422. 2002. View Article : Google Scholar
|
28
|
Li P, Xue WJ, Feng Y and Mao QS:
MicroRNA-205 functions as a tumor suppressor in colorectal cancer
by targeting cAMP responsive element binding protein 1 (CREB1). Am
J Transl Res. 7:2053–2059. 2015.PubMed/NCBI
|
29
|
Wang YW, Chen X, Ma R and Gao P:
Understanding the CREB1-miRNA feedback loop in human malignancies.
Tumour Biol. 37:8487–8502. 2016. View Article : Google Scholar : PubMed/NCBI
|
30
|
Tong W, Sun D, Wang Q and Suo J: Sorcin
enhances metastasis and promotes epithelial-to-mesenchymal
transition of colorectal cancer. Cell Biochem Biophys. 72:453–459.
2015. View Article : Google Scholar : PubMed/NCBI
|
31
|
Hwang JT, Kwak DW, Lin SK, Kim HM, Kim YM
and Park OJ: Resveratrol induces apoptosis in chemoresistant cancer
cells via modulation of AMPK signaling pathway. Ann NY Acad Sci.
1095:441–448. 2007. View Article : Google Scholar : PubMed/NCBI
|
32
|
Zhang D, Yang G, Li X, Xu C and Ge H:
Inhibition of liver carcinoma cell invasion and metastasis by
knockdown of cullin7 in vitro and in vivo. Oncol Res. 23:171–181.
2016. View Article : Google Scholar : PubMed/NCBI
|
33
|
Satija YK, Bhardwaj A and Das S: A
portrayal of E3 ubiquitin ligases and deubiquitylases in cancer.
Int J Cancer. 133:2759–2768. 2013.PubMed/NCBI
|
34
|
Chen P and Yao GD: The role of cullin
proteins in gastric cancer. Tumour Biol. 37:29–37. 2016. View Article : Google Scholar
|
35
|
Song Q, Wang L, Lu Y, Zhang J and Fu J:
Abstract 2008: CUL7 promotes non-small cell lung cancer cells
migration and invasion. Cancer Res. 74(Suppl 19): 20082014.
View Article : Google Scholar
|
36
|
Achiwa Y, Hasegawa K and Udagawa Y: Effect
of ursolic acid on MAPK in cyclin D1 signaling and RING-type E3
ligase (SCF E3s) in two endometrial cancer cell lines. Nutr Cancer.
65:1026–1033. 2013. View Article : Google Scholar : PubMed/NCBI
|
37
|
Wang L and Dobberstein B: Oligomeric
complexes involved in translocation of proteins across the membrane
of the endoplasmic reticulum. FEBS Lett. 457:316–322. 1999.
View Article : Google Scholar : PubMed/NCBI
|
38
|
Chen HZ, Wen Q, Wang WJ, He JP and Wu Q:
The orphan nuclear receptor TR3/Nur77 regulates ER stress and
induces apoptosis via interaction with TRAPγ. Int J Biochem Cell
Biol. 45:1600–1609. 2013. View Article : Google Scholar : PubMed/NCBI
|
39
|
Dehm SM and Tindall DJ: Molecular
regulation of androgen action in prostate cancer. J Cell Biochem.
99:333–344. 2006. View Article : Google Scholar : PubMed/NCBI
|
40
|
Chen Y, Jesnowski R and Löhr JM: Cloning
and characterization of genes differentially expressed in human
pancreatic carcinoma. Z Gastroenterol. 43:2005. View Article : Google Scholar
|
41
|
Li Y, Shi X, Yang W, Lu Z, Wang P, Chen Z
and He J: Transcriptome profiling of lncRNA and co-expression
networks in esophageal squamous cell carcinoma by RNA sequencing.
Tumour Biol. 37:13091–13100. 2016. View Article : Google Scholar : PubMed/NCBI
|
42
|
Dutertre M, Lacroix-Triki M, Driouch K, de
la Grange P, Gratadou L, Beck S, Millevoi S, Tazi J, Lidereau R,
Vagner S, et al: Exon-based clustering of murine breast tumor
transcriptomes reveals alternative exons whose expression is
associated with metastasis. Cancer Res. 70:896–905. 2010.
View Article : Google Scholar : PubMed/NCBI
|