|
1
|
Chaturvedi AK, Engels EA, Pfeiffer RM,
Hernandez BY, Xiao W, Kim E, Jiang B, Goodman MT, Sibug-Saber M,
Cozen W, et al: Human papillomavirus and rising oropharyngeal
cancer incidence in the United States. J Clin Oncol. 29:4294–4301.
2011. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
van Monsjou HS, Balm AJ, van den Brekel MM
and Wreesmann VB: Oropharyngeal squamous cell carcinoma: A unique
disease on the rise? Oral Oncol. 46:780–785. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Hashibe M, Brennan P, Chuang SC, Boccia S,
Castellsague X, Chen C, Curado MP, Dal Maso L, Daudt AW, Fabianova
E, et al: Interaction between tobacco and alcohol use and the risk
of head and neck cancer: Pooled analysis in the International Head
and Neck Cancer Epidemiology Consortium. Cancer Epidemiol
Biomarkers Prev. 18:541–550. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Chaturvedi AK, Engels EA, Anderson WF and
Gillison ML: Incidence trends for human papillomavirus-related and
-unrelated oral squamous cell carcinomas in the United States. J
Clin Oncol. 26:612–619. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Gillison ML, Alemany L, Snijders PJ,
Chaturvedi A, Steinberg BM, Schwartz S and Castellsagué X: Human
papillomavirus and diseases of the upper airway: Head and neck
cancer and respiratory papillomatosis. Vaccine. 30 (Suppl
5):F34–F54. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Tartaglia LA and Goeddel DV: Two TNF
receptors. Immunol Today. 13:151–153. 1992. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Ashkenazi A and Dixit VM: Death receptors:
Signaling and modulation. Science. 281:1305–1308. 1998. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Ma X, Li X, Lu X, Jia L, Li H and Song Q:
Interaction between TNFR1 and TNFR2 dominates the clinicopathologic
features of human hypopharyneal carcinoma. Tumour Biol.
36:9421–9429. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Kaira K, Toyoda M, Shimizu A, Imai H,
Sakakura K, Nikkuni O, Suzuki M, Iijima M, Asao T and Chikamatsu K:
Prognostic significance of GRP78/BiP expression in patients with
stage III/IV hypopharyngeal squamous cell carcinoma. Neoplasma.
63:477–483. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Jing P, Sa N, Liu X, Liu X and Xu W:
MicroR-140-5p suppresses tumor cell migration and invasion by
targeting ADAM10-mediated Notch1 signaling pathway in
hypopharyngeal squamous cell carcinoma. Exp Mol Pathol.
100:132–138. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Zhou J, Li M, Yu W, Li W, Wang J, Xiang X,
Li G, Pan X and Lei D: AB209630, a long non-coding RNA decreased
expression in hypopharyngeal squamous cell carcinoma, influences
proliferation, invasion, metastasis, and survival. Oncotarget.
7:14628–14638. 2016.PubMed/NCBI
|
|
12
|
Qiu X, Chen J, Zhang Z, You Y and Wang Z:
Aberrant GRK6 promoter methylation is associated with poor
prognosis in hypopharyngeal squamous cell carcinoma. Oncol Rep.
35:1027–1033. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Trapnell C, Pachter L and Salzberg SL:
TopHat: Discovering splice junctions with RNA-Seq. Bioinformatics.
25:1105–1111. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Ghosh S and Chan CK: Analysis of RNA-Seq
data using tophat and cufflinks. Methods Mol Biol. 1374:339–361.
2016. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Ritchie ME, Phipson B, Wu D, Hu Y, Law CW,
Shi W and Smyth GK: Limma powers differential expression analyses
for RNA-sequencing and microarray studies. Nucleic Acids Res.
43:e472015. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Reiner-Benaim A: FDR control by the BH
procedure for two-sided correlated tests with implications to gene
expression data analysis. Biom J. 49:107–126. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Benjamini Y and Hochberg Y: Controlling
the false discovery rate-a practical and powerful approach to
multiple testing. J Royal Stat Soc. 57:289–300. 1995.
|
|
18
|
Gołębiowski M, Sosnowska A, Puzyn T, Boguś
MI, Wieloch W, Włóka E and Stepnowski P: Application of two-way
hierarchical cluster analysis for the identification of
similarities between the individual lipid fractions of Lucilia
sericata. Chem Biodivers. 11:733–748. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
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
|
|
20
|
Ochs C, Perl Y, Halper M, Geller J and
Lomax J: Quality assurance of the gene ontology using abstraction
networks. J Bioinform Comput Biol. 14:16420012016. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Kanehisa M, Sato Y, Kawashima M, Furumichi
M and Tanabe M: KEGG as a reference resource for gene and protein
annotation. Nucleic Acids Res. 44:D457–D462. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Chatr-Aryamontri A, Breitkreutz BJ,
Oughtred R, Boucher L, Heinicke S, Chen D, Stark C, Breitkreutz A,
Kolas N, O'Donnell L, et al: The BioGRID interaction database: 2015
update. Nucleic Acids Res. 43:D470–D478. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Shannon P, Markiel A, Ozier O, Baliga NS,
Wang JT, Ramage D, Amin N, Schwikowski B and Ideker T: Cytoscape: A
software environment for integrated models of biomolecular
interaction networks. Genome Res. 13:2498–2504. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Keaton MA: Morgan DO: The cell cycle:
Principles of control (Primers in Biology). Cell Division.
2:272007. View Article : Google Scholar :
|
|
25
|
Liu YQ, Wang XL, Cheng X, Lu YZ, Wang GZ,
Li XC, Zhang J, Wen ZS, Huang ZL, Gao QL, et al: Skp1 in lung
cancer: Clinical significance and therapeutic efficacy of its small
molecule inhibitors. Oncotarget. 6:34953–34967. 2015.PubMed/NCBI
|
|
26
|
Xu M, Yang X, Zhao J, Zhang J, Zhang S,
Huang H, Liu Y and Liu J: High expression of Cullin1 indicates poor
prognosis for NSCLC patients. Pathol Res Pract. 210:397–401. 2014.
View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Houtani T, Munemoto Y, Kase M, Sakuma S,
Tsutsumi T and Sugimoto T: Cloning and expression of ligand-gated
ion-channel receptor L2 in central nervous system. Biochem Biophys
Res Commun. 335:277–285. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Ma D, Shield JP, Dean W, Leclerc I, Knauf
C, Burcelin R Ré, Rutter GA and Kelsey G: Impaired glucose
homeostasis in transgenic mice expressing the human transient
neonatal diabetes mellitus locus, TNDM. J Clin Invest. 114:339–348.
2004. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Zhu Z, Zhao X, Zhao L, Yang H, Liu L, Li
J, Wu J, Yang F, Huang G and Liu J: p54nrb/NONO
regulates lipid metabolism and breast cancer growth through
SREBP-1A. Oncogene. 35:1399–1410. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Yang P, Chen T, Xu Z, Zhu H, Wang J and He
Z: Long noncoding RNA GAPLINC promotes invasion in colorectal
cancer by targeting SNAI2 through binding with PSF and NONO.
Oncotarget. 7:42183–42194. 2016.PubMed/NCBI
|
|
31
|
Vilming Elgaaen B, Olstad OK, Haug KB,
Brusletto B, Sandvik L, Staff AC, Gautvik KM and Davidson B: Global
miRNA expression analysis of serous and clear cell ovarian
carcinomas identifies differentially expressed miRNAs including
miR-200c-3p as a prognostic marker. BMC cancer. 14:802014.
View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Chandra V, Kim JJ, Mittal B and Rai R:
MicroRNA aberrations: An emerging field for gallbladder cancer
management. World J Gastroenterol. 22:1787–1799. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Kubiczak M, Walkowiak GP, Nowak-Markwitz E
and Jankowska A: Human chorionic gonadotropin beta subunit genes
CGB1 and CGB2 are transcriptionally active in ovarian
cancer. Int J Mol Sci. 14:12650–12660. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Hotakainen K, Lintula S, Jarvinen R, Paju
A, Stenman J, Rintala E and Stenman UH: Overexpression of human
chorionic gonadotropin beta genes 3, 5 and 8 in tumor tissue and
urinary cells of bladder cancer patients. Tumour Biol. 28:52–56.
2007. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Hotakainen K, Lintula S, Ljungberg B,
Finne P, Paju A, Stenman UH and Stenman J: Expression of human
chorionic gonadotropin beta-subunit type I genes predicts adverse
outcome in renal cell carcinoma. J Mol Diagn. 8:598–603. 2006.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Iles RK: Ectopic hCGbeta expression by
epithelial cancer: Malignant behaviour, metastasis and inhibition
of tumor cell apoptosis. Mol Cell Endocrinol. 260-262:264–270.
2007. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Iles RK, Delves PJ and Butler SA: Does hCG
or hCGβ play a role in cancer cell biology? Mol Cell Endocrinol.
329:62–70. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Hotakainen K, Ljungberg B, Haglund C,
Nordling S, Paju A and Stenman UH: Expression of the free
beta-subunit of human chorionic gonadotropin in renal cell
carcinoma: Prognostic study on tissue and serum. Int J Cancer.
104:631–635. 2003. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Wu Y, Lu W, Xu J, Shi Y, Zhang H and Xia
D: Prognostic value of long non-coding RNA MALAT1 in cancer
patients. Tumour Biol. 37:897–903. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Lin R, Maeda S, Liu C, Karin M and
Edgington TS: A large noncoding RNA is a marker for murine
hepatocellular carcinomas and a spectrum of human carcinomas.
Oncogene. 26:851–858. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
Yang MH, Hu ZY, Xu C, Xie LY, Wang XY,
Chen SY and Li ZG: MALAT1 promotes colorectal cancer cell
proliferation/migration/invasion via PRKA kinase anchor protein 9.
Biochim Biophys Acta. 1852:166–174. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Wu XS, Wang XA, Wu WG, Hu YP, Li ML, Ding
Q, Weng H, Shu YJ, Liu TY, Jiang L, et al: MALAT1 promotes the
proliferation and metastasis of gallbladder cancer cells by
activating the ERK/MAPK pathway. Cancer Biol Ther. 15:806–814.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Ying L, Chen Q, Wang Y, Zhou Z, Huang Y
and Qiu F: Upregulated MALAT-1 contributes to bladder cancer cell
migration by inducing epithelial-to-mesenchymal transition. Mol
Biosyst. 8:2289–2294. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Tano K and Akimitsu N: Long non-coding
RNAs in cancer progression. Front Genet. 3:2192012. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Wurth L, Papasaikas P, Olmeda D, Bley N,
Calvo GT, Guerrero S, Cerezo-Wallis D, Martinez-Useros J,
García-Fernández M, Hüttelmaier S, et al: UNR/CSDE1 drives a
post-transcriptional program to promote melanoma invasion and
metastasis. Cancer Cell. 30:694–707. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Fang H, Yue X, Li X and Taylor JS:
Identification and characterization of high affinity antisense PNAs
for the human unr (upstream of N-ras) mRNA which is uniquely
overexpressed in MCF-7 breast cancer cells. Nucleic Acids Res.
33:6700–6711. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Chang YY, Kuo WH, Hung JH, Lee CY, Lee YH,
Chang YC, Lin WC, Shen CY, Huang CS, Hsieh FJ, et al: Deregulated
microRNAs in triple-negative breast cancer revealed by deep
sequencing. Mol Cancer. 14:362015. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
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
|
|
49
|
Mei LL, Wang WJ, Qiu YT, Xie XF, Bai J and
Shi ZZ: miR-125b-5p functions as a tumor suppressor gene partially
by regulating HMGA2 in esophageal squamous cell carcinoma. PLoS
One. 12:e01856362017. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Qattan A, Intabli H, Alkhayal W, Eltabache
C, Tweigieri T and Amer SB: Robust expression of tumor suppressor
miRNA's let-7 and miR-195 detected in plasma of Saudi female breast
cancer patients. BMC Cancer. 17:7992017. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Choo KB, Soon YL, Nguyen PN, Hiew MS and
Huang CJ: MicroRNA-5p and −3p co-expression and cross-targeting in
colon cancer cells. J Biomed Sci. 21:952014. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Armstrong DA, Green BB, Seigne JD, Schned
AR and Marsit CJ: MicroRNA molecular profiling from matched tumor
and bio-fluids in bladder cancer. Mol Cancer. 14:1942015.
View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Gowrishankar B, Ibragimova I, Zhou Y,
Slifker MJ, Devarajan K, Al-Saleem T, Uzzo RG and Cairns P:
MicroRNA expression signatures of stage, grade, and progression in
clear cell RCC. Cancer Biol Ther. 15:329–341. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Lauvrak SU, Munthe E, Kresse SH, Stratford
EW, Namløs HM, Meza-Zepeda LA and Myklebost O: Functional
characterisation of osteosarcoma cell lines and identification of
mRNAs and miRNAs associated with aggressive cancer phenotypes. Br J
Cancer. 109:2228–2236. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Zheng G, Du L, Yang X, Zhang X, Wang L,
Yang Y, Li J and Wang C: Serum microRNA panel as biomarkers for
early diagnosis of colorectal adenocarcinoma. Br J Cancer.
111:1985–1992. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Jin X, Chen X, Hu Y, Ying F, Zou R, Lin F,
Shi Z, Zhu X, Yan X, Li S and Zhu H: LncRNA-TCONS_00026907 is
involved in the progression and prognosis of cervical cancer
through inhibiting miR-143-5p. Cancer Med. 6:1409–1423. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
57
|
Calin GA, Cimmino A, Fabbri M, Ferracin M,
Wojcik SE, Shimizu M, Taccioli C, Zanesi N, Garzon R, Aqeilan RI,
et al: MiR-15a and miR-16-1 cluster functions in human leukemia.
Proc Natl Acad Sci USA. 105:5166–5171. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
58
|
Pekarsky Y and Croce CM: Role of miR-15/16
in CLL. Cell Death Differ. 22:6–11. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
59
|
Huang E, Liu R and Chu Y: miRNA-15a/16: As
tumor suppressors and more. Future Oncol. 11:2351–2363. 2015.
View Article : Google Scholar : PubMed/NCBI
|
|
60
|
Chen D, Wu D, Shao K, Ye B, Huang J and
Gao Y: MiR-15a-5p negatively regulates cell survival and metastasis
by targeting CXCL10 in chronic myeloid leukemia. Am J Transl Res.
9:4308–4316. 2017.PubMed/NCBI
|
|
61
|
Yanaihara N, Caplen N, Bowman E, Seike M,
Kumamoto K, Yi M, Stephens RM, Okamoto A, Yokota J, Tanaka T, et
al: Unique microRNA molecular profiles in lung cancer diagnosis and
prognosis. Cancer Cell. 9:189–198. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
62
|
Slattery ML, Pellatt AJ, Lee FY, Herrick
JS, Samowitz WS, Stevens JR, Wolff RK and Mullany LE: Infrequently
expressed miRNAs influence survival after diagnosis with colorectal
cancer. Oncotarget. 8:83845–83859. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
63
|
Yao XD, Li P and Wang JS: MicroRNA
differential expression spectrum and microRNA-125a-5p inhibition of
laryngeal cancer cell proliferation. Exp Ther Med. 14:1699–1705.
2017. View Article : Google Scholar : PubMed/NCBI
|
|
64
|
Odar K, Boštjančič E, Gale N, Glavač D and
Zidar N: Differential expression of microRNAs miR-21, miR-31,
miR-203, miR-125a-5p and miR-125b and proteins PTEN and
p63 in verrucous carcinoma of the head and neck. Histopathology.
61:257–265. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
65
|
Leotta M, Biamonte L, Raimondi L,
Ronchetti D, Di Martino MT, Botta C, Leone E, Pitari MR, Neri A,
Giordano A, et al: A p53-dependent tumor suppressor network is
induced by selective miR-125a-5p inhibition in multiple myeloma
cells. J Cell Physiol. 229:2106–2116. 2014. View Article : Google Scholar : PubMed/NCBI
|
