|
1
|
Siegel RL, Miller KD and Jemal A: Cancer
statistics, 2016. CA Cancer J Clin. 66:7–30. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Cancer Genome Atlas N: Cancer Genome Atlas
Network: Comprehensive genomic characterization of head and neck
squamous cell carcinomas. Nature. 517:576–582. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Leemans CR, Braakhuis BJ and Brakenhoff
RH: The molecular biology of head and neck cancer. Nat Rev Cancer.
11:9–22. 2011. View
Article : Google Scholar : PubMed/NCBI
|
|
4
|
Chauhan SS, Kaur J, Kumar M, Matta A,
Srivastava G, Alyass A, Assi J, Leong I, MacMillan C, Witterick I,
et al: Prediction of recurrence-free survival using a protein
expression-based risk classifier for head and neck cancer.
Oncogenesis. 4:e1472015. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Patel SG and Shah JP: TNM staging of
cancers of the head and neck: Striving for uniformity among
diversity. CA Cancer J Clin. 55:242–258; quiz 261–262, 264. 2005.
View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Wyss A, Hashibe M, Chuang SC, Lee YC,
Zhang ZF, Yu GP, Winn DM, Wei Q, Talamini R, Szeszenia-Dabrowska N,
et al: Cigarette, cigar, and pipe smoking and the risk of head and
neck cancers: Pooled analysis in the International Head and Neck
Cancer Epidemiology Consortium. Am J Epidemiol. 178:679–690. 2013.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Ang KK, Harris J, Wheeler R, Weber R,
Rosenthal DI, Nguyen-Tân PF, Westra WH, Chung CH, Jordan RC, Lu C,
et al: Human papillomavirus and survival of patients with
oropharyngeal cancer. N Engl J Med. 363:24–35. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Kosaka N, Iguchi H and Ochiya T:
Circulating microRNA in body fluid: A new potential biomarker for
cancer diagnosis and prognosis. Cancer Sci. 101:2087–2092. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Longo DL: Tumor heterogeneity and
personalized medicine. N Engl J Med. 366:956–957. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Zhao B, Hemann MT and Lauffenburger DA:
Intratumor heterogeneity alters most effective drugs in designed
combinations. Proc Natl Acad Sci USA. 111:10773–10778. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Mroz EA and Rocco JW: MATH, a novel
measure of intratumor genetic heterogeneity, is high in
poor-outcome classes of head and neck squamous cell carcinoma. Oral
Oncol. 49:211–215. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Wong N, Khwaja SS, Baker CM, Gay HA,
Thorstad WL, Daly MD, Lewis JS Jr and Wang X: Prognostic microRNA
signatures derived from The Cancer Genome Atlas for head and neck
squamous cell carcinomas. Cancer Med. 5:1619–1628. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Shi H, Chen J, Li Y, Li G, Zhong R, Du D,
Meng R, Kong W and Lu M: Identification of a six microRNA signature
as a novel potential prognostic biomarker in patients with head and
neck squamous cell carcinoma. Oncotarget. 7:21579–21590.
2016.PubMed/NCBI
|
|
14
|
SJ C: Home Page, Cancer Genetics Web.
http://www.cancer-genetics.org/index.htmFeb
27–2017
|
|
15
|
De Cecco L, Bossi P, Locati L, Canevari S
and Licitra L: Comprehensive gene expression meta-analysis of head
and neck squamous cell carcinoma microarray data defines a robust
survival predictor. Ann Oncol. 25:1628–1635. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Bair E and Tibshirani R: Semi-supervised
methods to predict patient survival from gene expression data. PLoS
Biol. 2:E1082004. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Giefing M, Wierzbicka M, Szyfter K,
Brenner JC, Braakhuis BJ, Brakenhoff RH, Bradford CR, Sorensen JA,
Rinaldo A, Rodrigo JP, et al: Moving towards personalised therapy
in head and neck squamous cell carcinoma through analysis of next
generation sequencing data. Eur J Cancer. 55:147–157. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Network TCGA: Comprehensive genomic
characterization of head and neck squamous cell carcinomas. Nature.
489:519–525. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Li B and Dewey CN: RSEM: Accurate
transcript quantification from RNA-Seq data with or without a
reference genome. BMC Bioinformatics. 12:3232011. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Wichmann G, Rosolowski M, Krohn K, Kreuz
M, Boehm A, Reiche A, Scharrer U, Halama D, Bertolini J, Bauer U,
et al: Leipzig Head and Neck Group (LHNG): The role of HPV RNA
transcription, immune response-related gene expression and
disruptive TP53 mutations in diagnostic and prognostic profiling of
head and neck cancer. Int J Cancer. 137:2846–2857. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Shi W, Oshlack A and Smyth GK: Optimizing
the noise versus bias trade-off for Illumina whole genome
expression BeadChips. Nucleic Acids Res. 38:e204. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Hu J, Yin G, Morris JS, Zhang L and Wright
FA: Entropy and survival-based weights to combine affymetrix array
types and analyze differential expression and survivalMethods of
Microarray Data Analysis. Shoemaker JS and Lin SM: CAMDA Springer;
Boston, MA: pp. 95–108. 2004
|
|
23
|
van Houwelingen HC, Bruinsma T, Hart AA,
Van't Veer LJ and Wessels LF: Cross-validated Cox regression on
microarray gene expression data. Stat Med. 25:3201–3216. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Fan J and Lv J: Sure independence
screening for ultrahigh dimensional feature space. J R Stat Soc Ser
A Stat Soc. 70:883–911. 2008.
|
|
25
|
Heagerty PJ, Lumley T and Pepe MS:
Time-dependent ROC curves for censored survival data and a
diagnostic marker. Biometrics. 56:337–344. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Wei JH, Haddad A, Wu KJ, Zhao HW, Kapur P,
Zhang ZL, Zhao LY, Chen ZH, Zhou YY, Zhou JC, et al: A
CpG-methylation-based assay to predict survival in clear cell renal
cell carcinoma. Nat Commun. 6:86992015. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Mroz EA, Tward AD, Hammon RJ, Ren Y and
Rocco JW: Intra-tumor genetic heterogeneity and mortality in head
and neck cancer: Analysis of data from the Cancer Genome Atlas.
PLoS Med. 12:e10017862015. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Worsham MJ, Stephen JK, Chen KM, Mahan M,
Schweitzer V, Havard S and Divine G: Improved survival with HPV
among African Americans with oropharyngeal cancer. Clin Cancer Res.
19:2486–2492. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Ng SW, Mitchell A, Kennedy JA, Chen WC,
McLeod J, Ibrahimova N, Arruda A, Popescu A, Gupta V, Schimmer AD,
et al: A 17-gene stemness score for rapid determination of risk in
acute leukaemia. Nature. 540:433–437. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Ludbrook J and Dudley H: Why permutation
tests are superior to t and F tests in biomedical research. Am
Stat. 52:127–132. 1998. View Article : Google Scholar
|
|
31
|
Fan J and Lv J: Sure independence
screening for ultra-high dimensional feature space (with
discussion). J R Stat Soc Ser A Stat Soc. 70:849–911. 2008.
View Article : Google Scholar
|
|
32
|
Sharma S, Kaul D, Arora M and Malik D:
Oncogenic nature of a novel mutant AATF and its interactome
existing within human cancer cells. Cell Biol Int. 39:326–333.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Bruno T, Desantis A, Bossi G, Di Agostino
S, Sorino C, De Nicola F, Iezzi S, Franchitto A, Benassi B, Galanti
S, et al: Che-1 promotes tumor cell survival by sustaining mutant
p53 transcription and inhibiting DNA damage response activation.
Cancer Cell. 18:122–134. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Passananti C and Fanciulli M: The
anti-apoptotic factor Che-1/AATF links transcriptional regulation,
cell cycle control, and DNA damage response. Cell Div. 2:212007.
View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Di Padova M, Bruno T, De Nicola F, Iezzi
S, D'Angelo C, Gallo R, Nicosia D, Corbi N, Biroccio A, Floridi A,
et al: Che-1 arrests human colon carcinoma cell proliferation by
displacing HDAC1 from the p21WAF1/CIP1 promoter. J Biol
Chem. 278:36496–36504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Kanda M, Shimizu D, Fujii T, Tanaka H,
Tanaka Y, Ezaka K, Shibata M, Takami H, Hashimoto R, Sueoka S, et
al: Neurotrophin receptor-interacting melanoma antigen-encoding
gene homolog is associated with malignant phenotype of gastric
cancer. Ann Surg Oncol. 23 Suppl 4:532–539. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Shimizu D, Kanda M, Sugimoto H, Sueoka S,
Takami H, Ezaka K, Tanaka Y, Hashimoto R, Okamura Y, Iwata N, et
al: NRAGE promotes the malignant phenotype of hepatocellular
carcinoma. Oncol Lett. 11:1847–1854. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Sharma M: Apoptosis-antagonizing
transcription factor (AATF) gene silencing: Role in induction of
apoptosis and down-regulation of estrogen receptor in breast cancer
cells. Biotechnol Lett. 35:1561–1570. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Lim S, Yoo BK, Kim HS, Gilmore HL, Lee Y,
Lee HP, Kim SJ, Letterio J and Lee HG: Amyloid-β precursor protein
promotes cell proliferation and motility of advanced breast cancer.
BMC Cancer. 14:9282014.https://doi.org/10.1186/1471-2407-14-928
View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Provenzano MJ, Yu L, Hitchler MJ,
Fitzgerald MP, Robinson RA, Wayne S, Ver Meer M and Domann FE: AP-2
participates in the transcriptional control of the amyloid
precursor protein (APP) gene in oral squamous cell carcinoma. Exp
Mol Pathol. 83:277–282. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Ko SY, Chang KW, Lin SC, Hsu HC and Liu
TY: The repressive effect of green tea ingredients on amyloid
precursor protein (APP) expression in oral carcinoma cells in vitro
and in vivo. Cancer Lett. 245:81–89. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Ko SY, Lin SC, Chang KW, Wong YK, Liu CJ,
Chi CW and Liu TY: Increased expression of amyloid precursor
protein in oral squamous cell carcinoma. Int J Cancer. 111:727–732.
2004. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Orth MF, Cazes A, Butt E and Grunewald TG:
An update on the LIM and SH3 domain protein 1 (LASP1): A versatile
structural, signaling, and biomarker protein. Oncotarget. 6:26–42.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Shimizu F, Shiiba M, Ogawara K, Kimura R,
Minakawa Y, Baba T, Yokota S, Nakashima D, Higo M, Kasamatsu A, et
al: Overexpression of LIM and SH3 protein 1 leading to accelerated
G2/M phase transition contributes to enhanced tumourigenesis in
oral cancer. PLoS One. 8:e83187. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Ruggieri V, Agriesti F, Tataranni T,
Perris R and Mangieri D: Paving the path for invasion: The
polyedric role of LASP1 in cancer. Tumour Biol.
39:10104283177057572017. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Tawk B, Schwager C, Deffaa O, Dyckhoff G,
Warta R, Linge A, Krause M, Weichert W, Baumann M, Herold-Mende C,
et al: Comparative analysis of transcriptomics based hypoxia
signatures in head- and neck squamous cell carcinoma. Radiother
Oncol. 118:350–358. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Chakravarthi BVSK, Pathi SS, Goswami MT,
Cieślik M, Zheng H, Nallasivam S, Arekapudi SR, Jing X, Siddiqui J,
Athanikar J, et al: The miR-124-prolyl hydroxylase P4HA1-MMP1 axis
plays a critical role in prostate cancer progression. Oncotarget.
5:6654–6669. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Feng G, Shi H, Li J, Yang Z, Fang R, Ye L,
Zhang W and Zhang X: MiR-30e suppresses proliferation of hepatoma
cells via targeting prolyl 4-hydroxylase subunit alpha-1 (P4HA1)
mRNA. Biochem Biophys Res Commun. 472:516–522. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Gilkes DM, Chaturvedi P, Bajpai S, Wong
CC, Wei H, Pitcairn S, Hubbi ME, Wirtz D and Semenza GL: Collagen
prolyl hydroxylases are essential for breast cancer metastasis.
Cancer Res. 73:3285–3296. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Arreola R, Valderrama B, Morante ML and
Horjales E: Two mammalian glucosamine-6-phosphate deaminases: A
structural and genetic study. FEBS Lett. 551:63–70. 2003.
View Article : Google Scholar : PubMed/NCBI
|
|
51
|
He YJ, Li WL, Liu BH, Dong H, Mou ZR and
Wu YZ: Identification of differential proteins in colorectal cancer
cells treated with caffeic acid phenethyl ester. World J
Gastroenterol. 20:11840–11849. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Jiang W, Huang H, Ding L, Zhu P, Saiyin H,
Ji G, Zuo J, Han D, Pan Y, Ding D, et al: Regulation of cell cycle
of hepatocellular carcinoma by NF90 through modulation of cyclin E1
mRNA stability. Oncogene. 34:4460–4470. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Shamanna RA, Hoque M, Pe'ery T and Mathews
MB: Induction of p53, p21 and apoptosis by silencing the NF90/NF45
complex in human papilloma virus-transformed cervical carcinoma
cells. Oncogene. 32:5176–5185. 2013. View Article : Google Scholar : PubMed/NCBI
|
