1
|
Global Burden of Disease Cancer
Collaboration, ; Fitzmaurice C, Dicker D, Pain A, Hamavid H,
Moradi-Lakeh M, MacIntyre MF, Allen C, Hansen G, Woodbrook R, et
al: The global burden of cancer 2013. JAMA Oncol. 1:505–527. 2015.
View Article : Google Scholar : PubMed/NCBI
|
2
|
Torre LA, Bray F, Siegel RL, Ferlay J,
Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA
Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI
|
3
|
Cogliano V, Baan R, Straif K, Grosse Y,
Secretan B and El Ghissassi F: WHO international agency for
research on cancer: Carcinogenicity of human papillomaviruses.
Lancet Oncol. 6:2042005. View Article : Google Scholar : PubMed/NCBI
|
4
|
Arteaga CL and Baselga J: Impact of
genomics on personalized cancer medicine. Clin Cancer Res.
18:612–618. 2012. View Article : Google Scholar : PubMed/NCBI
|
5
|
Ozsolak F and Milos PM: RNA sequencing:
Advances, challenges and opportunities. Nat Rev Genet. 12:87–98.
2011. View
Article : Google Scholar : PubMed/NCBI
|
6
|
Wang Z, Gerstein M and Snyder M: RNA-Seq:
A revolutionary tool for transcriptomics. Nat Rev Genet. 10:57–63.
2009. View
Article : Google Scholar : PubMed/NCBI
|
7
|
Nagalakshmi U, Wang Z, Waern K, Shou C,
Raha D, Gerstein M and Snyder M: The transcriptional landscape of
the yeast genome defined by RNA sequencing. Science. 320:1344–1349.
2008. View Article : Google Scholar : PubMed/NCBI
|
8
|
Sultan M, Schulz MH, Richard H, Magen A,
Klingenhoff A, Scherf M, Seifert M, Borodina T, Soldatov A,
Parkhomchuk D, et al: A global view of gene activity and
alternative splicing by deep sequencing of the human transcriptome.
Science. 321:956–960. 2008. View Article : Google Scholar : PubMed/NCBI
|
9
|
Stephens PJ, Tarpey PS, Davies H, van Loo
P, Greenman C, Wedge DC, Nik-Zainal S, Martin S, Varela I, Bignell
GR, et al: The landscape of cancer genes and mutational processes
in breast cancer. Nature. 486:400–404. 2012.PubMed/NCBI
|
10
|
Wu Y, Wang X, Wu F, Huang R, Xue F, Liang
G, Tao M, Cai P and Huang Y: Transcriptome profiling of the cancer,
adjacent non-tumor and distant normal tissues from a colorectal
cancer patient by deep sequencing. PLoS One. 7:e410012012.
View Article : Google Scholar : PubMed/NCBI
|
11
|
Livak KJ and Schmittgen TD: Analysis of
relative gene expression data using real-time quantitative PCR and
the 2(−Delta Delta C(T)) method. Methods. 25:402–408. 2001.
View Article : Google Scholar : PubMed/NCBI
|
12
|
Lv L, Jin Y, Zhou Y, Jin J, Ma Z and Ren
Z: Deep sequencing of transcriptome profiling of GSTM2 knock-down
in swine testis cells. Sci Rep. 6:382542016. View Article : Google Scholar : PubMed/NCBI
|
13
|
Audic S and Claverie JM: The significance
of digital gene expression profiles. Genome Res. 7:986–995. 1997.
View Article : Google Scholar : PubMed/NCBI
|
14
|
Benjamini Y and Yekutieli D: The control
of the false discovery rate in multiple testing under dependency.
Ann Statist. 29:1165–1188. 2001.
|
15
|
Abdi H: ‘Bonferroni and Sidak corrections
for multiple comparisons’. Encyclopedia of Measurement and
Statistics Thousand Oaks, CA: Sage; 2007
|
16
|
Meijer DH, Kane MF, Mehta S, Liu H,
Harrington E, Taylor CM, Stiles CD and Rowitch DH: Separated at
birth? The functional and molecular divergence of OLIG1 and OLIG2.
Nat Rev Neurosci. 13:819–831. 2012. View Article : Google Scholar : PubMed/NCBI
|
17
|
Hanahan D and Weinberg RA: Hallmarks of
cancer: The next generation. Cell. 144:646–674. 2011. View Article : Google Scholar : PubMed/NCBI
|
18
|
Conesa A, Madrigal P, Tarazona S,
Gomez-Cabrero D, Cervera A, McPherson A, Szcześniak MW, Gaffney DJ,
Elo LL, Zhang X and Mortazavi A: A survey of best practices for
RNA-seq data analysis. Genome Biol. 17:1812016. View Article : Google Scholar : PubMed/NCBI
|
19
|
Rajkumar T, Sabitha K, Vijayalakshmi N,
Shirley S, Bose MV, Gopal G and Selvaluxmy G: Identification and
validation of genes involved in cervical tumourigenesis. BMC
Cancer. 11:802011. View Article : Google Scholar : PubMed/NCBI
|
20
|
Hagemann T, Bozanovic T, Hooper S, Ljubic
A, Slettenaar VI, Wilson JL, Singh N, Gayther SA, Shepherd JH and
Van Trappen PO: Molecular profiling of cervical cancer progression.
Br J Cancer. 96:321–328. 2007. View Article : Google Scholar : PubMed/NCBI
|
21
|
Radisky DC, Levy DD, Littlepage LE, Liu H,
Nelson CM, Fata JE, Leake D, Godden EL, Albertson DG, Nieto MA, et
al: Rac1b and reactive oxygen species mediate MMP-3-induced EMT and
genomic instability. Nature. 436:123–127. 2005. View Article : Google Scholar : PubMed/NCBI
|
22
|
Wu W, Ren Z, Li P, Yu D, Chen J, Huang R
and Liu H: Six1: A critical transcription factor in tumorigenesis.
Int J Cancer. 136:1245–1253. 2015. View Article : Google Scholar : PubMed/NCBI
|
23
|
Micalizzi DS, Christensen KL, Jedlicka P,
Coletta RD, Barón AE, Harrell JC, Horwitz KB, Billheimer D,
Heichman KA, Welm AL, et al: The Six1 homeoprotein induces human
mammary carcinoma cells to undergo epithelial-mesenchymal
transition and metastasis in mice through increasing TGF-beta
signaling. J Clin Invest. 119:2678–2690. 2009. View Article : Google Scholar : PubMed/NCBI
|
24
|
Liu D, Zhang XX, Xi BX, Wan DY, Li L, Zhou
J, Wang W, Ma D, Wang H and Gao QL: Sine oculis homeobox homolog 1
promotes DNA replication and cell proliferation in cervical cancer.
Int J Oncol. 45:1232–1240. 2014.PubMed/NCBI
|
25
|
Liu D, Li L, Zhang XX, Wan DY, Xi BX, Hu
Z, Ding WC, Zhu D, Wang XL, Wang W, et al: SIX1 promotes tumor
lymphangiogenesis by coordinating TGFβ signals that increase
expression of VEGF-C. Cancer Res. 74:5597–5607. 2014. View Article : Google Scholar : PubMed/NCBI
|
26
|
Leng N, Dawson JA, Thomson JA, Ruotti V,
Rissman AI, Smits BM, Haag JD, Gould MN, Stewart RM and Kendziorski
C: EBSeq: An empirical Bayes hierarchical model for inference in
RNA-seq experiments. Bioinformatics. 29:1035–1043. 2013. View Article : Google Scholar : PubMed/NCBI
|
27
|
Gao AC and Isaacs JT: Expression of
homeobox gene-GBX2 in human prostatic cancer cells. Prostate.
29:395–398. 1996. View Article : Google Scholar : PubMed/NCBI
|
28
|
Gao AC, Lou W and Isaacs JT: Enhanced GBX2
expression stimulates growth of human prostate cancer cells via
transcriptional up-regulation of the interleukin 6 gene. Clin
Cancer Res. 6:493–497. 2000.PubMed/NCBI
|
29
|
Gurbuz N, Ashour AA, Alpay SN and Ozpolat
B: Down-regulation of 5-HT1B and 5-HT1D receptors inhibits
proliferation, clonogenicity and invasion of human pancreatic
cancer cells. PLoS One. 9:e1100672014. View Article : Google Scholar : PubMed/NCBI
|
30
|
Kawanabe Y and Nauli SM: Endothelin. Cell
Mol Life Sci. 68:195–203. 2011. View Article : Google Scholar : PubMed/NCBI
|
31
|
Wiesmann F, Veeck J, Galm O, Hartmann A,
Esteller M, Knüchel R and Dahl E: Frequent loss of endothelin-3
(EDN3) expression due to epigenetic inactivation in human breast
cancer. Breast Cancer Res. 11:R342009. View Article : Google Scholar : PubMed/NCBI
|
32
|
Wang R, Löhr CV, Fischer K, Dashwood WM,
Greenwood JA, Ho E, Williams DE, Ashktorab H, Dashwood MR and
Dashwood RH: Epigenetic inactivation of endothelin-2 and
endothelin-3 in colon cancer. Int J Cancer. 132:1004–1012. 2013.
View Article : Google Scholar : PubMed/NCBI
|
33
|
Liang W, Guan H, He X, Ke W, Xu L, Liu L,
Xiao H and Li Y: Down-regulation of SOSTDC1 promotes thyroid cancer
cell proliferation via regulating cyclin A2 and cyclin E2.
Oncotarget. 6:31780–31791. 2015.PubMed/NCBI
|
34
|
Clausen KA, Blish KR, Birse CE, Triplette
MA, Kute TE, Russell GB, D'Agostino RB Jr, Miller LD, Torti FM and
Torti SV: SOSTDC1 differentially modulates Smad and beta-catenin
activation and is down-regulated in breast cancer. Breast Cancer
Res Treat. 129:737–746. 2011. View Article : Google Scholar : PubMed/NCBI
|
35
|
Blish KR, Clausen KA, Hawkins GA, Garvin
AJ, Willingham MC, Turner JC, Torti FM and Torti SV: Loss of
heterozygosity and SOSTDC1 in adult and pediatric renal tumors. J
Exp Clin Cancer Res. 29:1472010. View Article : Google Scholar : PubMed/NCBI
|
36
|
Chang A, Yousef GM, Scorilas A, Grass L,
Sismondi P, Ponzone R and Diamandis EP: Human kallikrein gene 13
(KLK13) expression by quantitative RT-PCR: An independent indicator
of favourable prognosis in breast cancer. Br J Cancer.
86:1457–1464. 2002. View Article : Google Scholar : PubMed/NCBI
|
37
|
Nathalie HV, Chris P, Serge G, Catherine
C, Benjamin B, Claire B, Christelle P, Briollais L, Pascale R,
Marie-Lise J and Yves C: High kallikrein-related peptidase 6 in
non-small cell lung cancer cells: An indicator of tumour
proliferation and poor prognosis. J Cell Mol Med. 13:4014–4022.
2009. View Article : Google Scholar : PubMed/NCBI
|
38
|
Avgeris M, Papachristopoulou G,
Polychronis A and Scorilas A: Down-regulation of kallikrein-related
peptidase 5 (KLK5) expression in breast cancer patients: A
biomarker for the differential diagnosis of breast lesions. Clin
Proteomics. 8:52011. View Article : Google Scholar : PubMed/NCBI
|
39
|
Talieri M, Devetzi M, Scorilas A, Pappa E,
Tsapralis N, Missitzis I and Ardavanis A: Human kallikrein-related
peptidase 12 (KLK12) splice variants expression in breast cancer
and their clinical impact. Tumour Biol. 33:1075–1084. 2012.
View Article : Google Scholar : PubMed/NCBI
|