|
1
|
Siewert JR and Ott K: Are squamous and
adenocarcinomas of the esophagus the same disease? Semin Radiat
Oncol. 17:38–44. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Chen W, Zheng R, Baade PD, Zhang S, Zeng
H, Bray F, Jemal A, Yu XQ and He J: Cancer statistics in China,
2015. CA Cancer J Clin. 66:115–132. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
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
|
|
4
|
Zeng H, Zheng R, Zhang S, Zuo T, Xia C,
Zou X and Chen W: Esophageal cancer statistics in China, 2011:
Estimates based on 177 cancer registries. Thorac Cancer. 7:232–237.
2016. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Xing D, Tan W and Lin D: Genetic
polymorphisms and susceptibility to esophageal cancer among Chinese
population (review). Oncol Rep. 10:1615–1623. 2003.PubMed/NCBI
|
|
6
|
Domper Arnal MJ, Ferrández Arenas Á and
Lanas Arbeloa Á: Esophageal cancer: Risk factors, screening and
endoscopic treatment in Western and Eastern countries. World J
Gastroenterol. 21:7933–743. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Wang L, Xiong Y, Sun Y, Fang Z, Li L, Ji H
and Shi T: HLungDB: An integrated database of human lung cancer
research. Nucleic Acids Res. 38((Database Issue)): D665–D669. 2010.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Hirano H and Kato K: Systemic treatment of
advanced esophageal squamous cell carcinoma: Chemotherapy,
molecular-targeting therapy and immunotherapy. Jpn J Clin Oncol.
49:412–420. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Deng HY, Wang WP, Wang YC, Hu WP, Ni PZ,
Lin YD and Chen LQ: Neoadjuvant chemoradiotherapy or chemotherapy?
A comprehensive systematic review and meta-analysis of the options
for neoadjuvant therapy for treating oesophageal cancer. Eur J
Cardiothorac Surg. 51:421–431. 2017.PubMed/NCBI
|
|
10
|
Talukdar FR, di Pietro M, Secrier M,
Moehler M, Goepfert K, Lima SSC, Pinto LFR, Hendricks D, Parker MI
and Herceg Z: Molecular landscape of esophageal cancer:
Implications for early detection and personalized therapy. Ann N Y
Acad Sci. 1434:342–359. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Aibar S, Abaigar M, Campos-Laborie FJ,
Sánchez-Santos JM, Hernandez-Rivas JM and De Las Rivas J:
Identification of expression patterns in the progression of disease
stages by integration of transcriptomic data. BMC Bioinformatics.
17 (Suppl 15):S4322016. View Article : Google Scholar
|
|
12
|
Golding GB: DNA and the revolutions of
molecular evolution, computational biology, and bioinformatics.
Genome. 46:930–935. 2003. View
Article : Google Scholar : PubMed/NCBI
|
|
13
|
Larson RS: Bioinformatics and drug
discovery. Second. Mathods Mol Biol; 910. 2012, PubMed/NCBI
|
|
14
|
Gaulton A, Bellis LJ, Bento AP, Chambers
J, Davies M, Hersey A, Light Y, McGlinchey S, Michalovich D,
Al-Lazikani B and Overington JP: ChEMBL: A large-scale bioactivity
database for drug discovery. Nucleic Acids Res. 40((Database
Issue)): D1100–D1107. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Tanya B, Troup DB, Wilhite SE, Ledoux P,
Evangelista C, Kim IF, Tomashevsky M, Marshall KA, Phillippy KH,
Sherman PM, et al: NCBI GEO: Archive for functional genomics data
sets-10 years on. Nucleic Acids Res. 39((Database Issue)):
D1005–D1010. 2011.PubMed/NCBI
|
|
16
|
Edgar R, Domrachev M and Lash AE: Gene
expression omnibus: NCBI gene expression and hybridization array
data repository. Nucleic Acids Res. 30:207–210. 2002. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Tye BK: MCM proteins in DNA replication.
Annu Rev Biochem. 68:649–686. 1999. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Forsburg SL: Eukaryotic MCM proteins:
Beyond replication initiation. Microbiol Mol Biol Rev. 68:109–131.
2004. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Fitch MJ, Donato JJ and Tye BK: Mcm7, a
subunit of the presumptive MCM helicase, modulates its own
expression in conjunction with Mcm1. J Biol Chem. 278:25408–25416.
2003. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Chong JP, Mahbubani HM, Khoo CY and Blow
JJ: Purification of an MCM-containing complex as a component of the
DNA replication licensing system. Nature. 375:418–421. 1995.
View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Gauchotte G, Vigouroux C, Rech F,
Battaglia-Hsu SF, Soudant M, Pinelli C, Civit T, Taillandier L,
Vignaud JM and Bressenot A: Expression of minichromosome
maintenance MCM6 protein in meningiomas is strongly correlated with
histologic grade and clinical outcome. Am J Surg Pathol.
36:283–291. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Vigouroux C, Casse JM, Battaglia-Hsu SF,
Brochin L, Luc A, Paris C, Lacomme S, Gueant JL, Vignaud JM and
Gauchotte G: Methyl(R217)HuR and MCM6 are inversely correlated and
are prognostic markers in non small cell lung carcinoma. Lung
Cancer. 89:189–196. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Helfenstein A, Frahm SO, Krams M, Drescher
W, Parwaresch R and Hassenpflug J: Minichromosome maintenance
protein (MCM6) in low-grade chondrosarcoma: Distinction from
enchondroma and identification of progressive tumors. Am J Clin
Pathol. 122:912–918. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Hotton J, Agopiantz M, Leroux A,
Charra-Brunaud C, Marie B, Busby-Venner H, Morel O, Guéant JL,
Vignaud JM, Battaglia-Hsu SF and Gauchotte G: Minichromosome
maintenance complex component 6 (MCM6) expression correlates with
histological grade and survival in endometrioid endometrial
adenocarcinoma. Virchows Arch. 472:623–633. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Hendricks A, Gieseler F, Nazzal S, Bräsen
JH, Lucius R, Sipos B, Claasen JH, Becker T, Hinz S, Burmeister G,
et al: Prognostic relevance of topoisomerase II α and
minichromosome maintenance protein 6 expression in colorectal
cancer. BMC Cancer. 19:4292019. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Liu M, Hu Q, Tu M, Wang X, Yang Z, Yang G
and Luo R: MCM6 promotes metastasis of hepatocellular carcinoma via
MEK/ERK pathway and serves as a novel serum biomarker for early
recurrence. J Exp Clin Cancer Res. 37:102018. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Zheng T, Chen M, Han S, Zhang L, Bai Y,
Fang X, Ding SZ and Yang Y: Plasma minichromosome maintenance
complex component 6 is a novel biomarker for hepatocellular
carcinoma patients. Hepatol Res. 44:1347–1356. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Shade A and Handelsman J: Beyond the Venn
diagram: The hunt for a core microbiome. Environ Microbiol.
14:4–12. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Szklarczyk D, Morris JH, Cook H, Kuhn M,
Wyder S, Simonovic M, Santos A, Doncheva NT, Roth A, Bork P, et al:
The STRING database in 2017: Quality-controlled protein-protein
association networks, made broadly accessible. Nucleic Acids Res.
45(D1): D362–D368. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Szklarczyk D, Franceschini A, Wyder S,
Forslund K, Heller D, Huerta-Cepas J, Simonovic M, Roth A, Santos
A, Tsafou KP, et al: STRING v10: Protein-protein interaction
networks, integrated over the tree of life. Nucleic Acids Res.
43((Database Issue)): D447–D452. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
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
|
|
32
|
Huang da W, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Gene Ontology Consortium: The gene
ontology (GO) project in 2006. Nucleic Acids Res. 34((Database
Issue)): D322–D326. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Kanehisa M and Goto S: KEGG: Kyoto
encyclopaedia of genes and genomes. Nucleic Acids Res. 28:27–30.
2000. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Rhodes DR, Kalyana-Sundaram S, Mahavisno
V, Varambally R, Yu J, Briggs BB, Barrette TR, Anstet MJ,
Kincead-Beal C, Kulkarni P, et al: Oncomine 3.0: Genes, pathways,
and networks in a collection of 18,000 cancer gene expression
profiles. Neoplasia. 9:166–180. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Tang Z, Li C, Kang B, Gao G, Li C and
Zhang Z: GEPIA: A web server for cancer and normal gene expression
profiling and interactive analyses. Nucleic Acids Res. 45((W1)):
W98–W102. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
37
|
Chandrashekar DS, Bashel B, Balasubramanya
SAH, Creighton CJ, Ponce-Rodriguez I, Chakravarthi BVSK and
Varambally S: UALCAN: A portal for facilitating tumor subgroup gene
expression and survival analyses. Neoplasia. 19:649–658. 2017.
View Article : Google Scholar : PubMed/NCBI
|
|
38
|
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
|
|
39
|
do Valle ÍF, Menichetti G, Simonetti G,
Bruno S, Zironi I, Durso DF, Mombach JCM, Martinelli G, Castellani
G and Remondini D: Network integration of multi-tumour omics data
suggests novel targeting strategies. Nat Commun. 9:45142018.
View Article : Google Scholar : PubMed/NCBI
|
|
40
|
Hashemifar S, Neyshabur B, Khan AA and Xu
J: Predicting protein-protein interactions through sequence-based
deep learning. Bioinformatics. 34:i802–i810. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
41
|
He W, Chen L, Yuan K, Zhou Q, Peng L and
Han Y: Gene set enrichment analysis and meta-analysis to identify
six key genes regulating and controlling the prognosis of
esophageal squamous cell carcinoma. J Thorac Dis. 10:5714–5726.
2018. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Zhang Y, Xu Y, Li Z, Zhu Y, Wen S, Wang M,
Lv H, Zhang F and Tian Z: Identification of the key transcription
factors in esophageal squamous cell carcinoma. J Thorac Dis.
10:148–161. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
43
|
Ahmed AA, Mohamed AD, Gener M, Li W and
Taboada E: YAP and the hippo pathway in pediatric cancer. Mol Cell
Oncol. 4:e12951272017. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Hanahan D and Weinberg RA: Hallmarks of
cancer: The next generation. Cell. 144:646–674. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Hanahan D and Weinberg RA: The hallmarks
of cancer. Cell. 100:57–70. 2000. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Saito S, Morishima K, Ui T, Hoshino H,
Matsubara D, Ishikawa S, Aburatani H, Fukayama M, Hosoya Y, Sata N,
et al: The role of HGF/MET and FGF/FGFR in fibroblast-derived
growth stimulation and lapatinib-resistance of esophageal squamous
cell carcinoma. BMC Cancer. 15:822015. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Wang Q, Ma C and Kemmner W: Wdr66 is a
novel marker for risk stratification and involved in
epithelial-mesenchymal transition of esophageal squamous cell
carcinoma. BMC Cancer. 13:1372013. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Lee JJ, Natsuizaka M, Ohashi S, Wong GS,
Takaoka M, Michaylira CZ, Budo D, Tobias JW, Kanai M, Shirakawa Y,
et al: Hypoxia activates the cyclooxygenase-2-prostaglandin E
synthase axis. Carcinogenesis. 31:427–434. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
49
|
Erkizan HV, Johnson K, Ghimbovschi S,
Karkera D, Trachiotis G, Adib H, Hoffman EP and Wadleigh RG:
African-American esophageal squamous cell carcinoma expression
profile reveals dysregulation of stress response and detox
networks. BMC Cancer. 17:4262017. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Su H, Hu N, Yang HH, Wang C, Takikita M,
Wang QH, Giffen C, Clifford R, Hewitt SM, Shou JZ, et al: Global
gene expression profiling and validation in esophageal squamous
cell carcinoma and its association with clinical phenotypes. Clin
Cancer Res. 17:2955–2966. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
51
|
Hu N, Clifford RJ, Yang HH, Wang C,
Goldstein AM, Ding T, Taylor PR and Lee MP: Genome wide analysis of
DNA copy number neutral loss of heterozygosity (CNNLOH) and its
relation to gene expression in esophageal squamous cell carcinoma.
BMC Genomics. 11:5762010. View Article : Google Scholar : PubMed/NCBI
|
|
52
|
Kimchi ET, Posner MC, Park JO, Darga TE,
Kocherginsky M, Karrison T, Hart J, Smith KD, Mezhir JJ,
Weichselbaum RR and Khodarev NN: Progression of Barrett's
metaplasia to adenocarcinoma is associated with the suppression of
the transcriptional programs of epidermal differentiation. Cancer
Res. 65:3146–3154. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Wang S, Zhan M, Yin J, Abraham JM, Mori Y,
Sato F, Xu Y, Olaru A, Berki AT, Li H, et al: Transcriptional
profiling suggests that Barrett's metaplasia is an early
intermediate stage in esophageal adenocarcinogenesis. Oncogene.
25:3346–3356. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Hao Y, Triadafilopoulos G, Sahbaie P,
Young HS, Omary MB and Lowe AW: Gene expression profiling reveals
stromal genes expressed in common between Barrett's esophagus and
adenocarcinoma. Gastroenterology. 131:925–933. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
55
|
Kim SM, Park YY, Park ES, Cho JY, Izzo JG,
Zhang D, Kim SB, Lee JH, Bhutani MS, Swisher SG, et al: Prognostic
biomarkers for esophageal adenocarcinoma identified by analysis of
tumor transcriptome. PLoS One. 5:e150742010. View Article : Google Scholar : PubMed/NCBI
|
