|
1
|
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
|
|
2
|
Zheng S, Vuitton L, Sheyhidin I, Vuitton
DA, Zhang Y and Lu X: Northwestern China: a place to learn more on
oesophageal cancer. Part one: behavioural and environmental risk
factors. Eur J Gastroenterol Hepatol. 22:917–925. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Lee RC, Feinbaum RL and Ambros V: The
C. elegans heterochronic gene lin-4 encodes small RNAs with
antisense complementarity to lin-14. Cell. 75:843–854. 1993.
View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Tay Y, Zhang J, Thomson AM, Lim B and
Rigoutsos I: MicroRNAs to Nanog, Oct4 and Sox2 coding regions
modulate embryonic stem cell differentiation. Nature.
455:1124–1128. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Stark A, Brennecke J, Bushati N, Russell
RB and Cohen SM: Animal microRNAs confer robustness to gene
expression and have a significant impact on 3′UTR evolution. Cell.
123:1133–1146. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Ferracin M, Veronese A and Negrini M:
Micromarkers: miRNAs in cancer diagnosis and prognosis. Expert Rev
Mol Diagn. 10:297–308. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Bartel DP: MicroRNAs: Genomics,
biogenesis, mechanism, and function. Cell. 116:281–297. 2004.
View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Kan T and Meltzer SJ: MicroRNAs in
Barrett's esophagus and esophageal adenocarcinoma. Curr Opin
Pharmacol. 9:727–732. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Chen Z, Li J, Tian L, Zhou C, Gao Y, Zhou
F, Shi S, Feng X, Sun N, Yao R, et al: miRNA expression profile
reveals a prognostic signature for esophageal squamous cell
carcinoma. Cancer Lett. 350:34–42. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Takeshita N, Hoshino I, Mori M, Akutsu Y,
Hanari N, Yoneyama Y, Ikeda N, Isozaki Y, Maruyama T, Akanuma N, et
al: Serum microRNA expression profile: miR-1246 as a novel
diagnostic and prognostic biomarker for oesophageal squamous cell
carcinoma. Br J Cancer. 108:644–652. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Hurst DR, Edmonds MD and Welch DR:
Metastamir: The field of metastasis-regulatory microRNA is
spreading. Cancer Res. 69:7495–7498. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Chen YK, Chang WS, Wu IC, Li LH, Yang SF,
Chen JY, Hsu MC, Chen SH, Wu DC, Lee JM, et al: Molecular
characterization of invasive subpopulations from an esophageal
squamous cell carcinoma cell line. Anticancer Res. 30:727–736.
2010.PubMed/NCBI
|
|
13
|
Su XY, Yin HT, Li SY, Huang XE, Tan HY,
Dai HY and Shi FF: Intervention effects of nedaplatin and cisplatin
on proliferation and apoptosis of human tumour cells in vitro.
Asian Pac J Cancer Prev. 13:4531–4536. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Maere S, Heymans K and Kuiper M: BiNGO: A
Cytoscape plugin to assess overrepresentation of gene ontology
categories in biological networks. Bioinformatics. 21:3448–3449.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Bader GD and Hogue CWV: An automated
method for finding molecular complexes in large protein interaction
networks. BMC Bioinformatics. 4:22003. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Huang 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
|
|
17
|
Cui X, Zhao Z, Liu D, Guo T, Li S, Hu J,
Liu C, Yang L, Cao Y, Jiang J, et al: Inactivation of miR-34a by
aberrant CpG methylation in Kazakh patients with esophageal
carcinoma. J Exp Clin Cancer Res. 33:202014. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Zheng S, Vuitton L, Sheyhidin I, Vuitton
DA, Zhang Y and Lu X: Northwestern China: a place to learn more on
oesophageal cancer. Part two: gene alterations and polymorphisms.
Eur J Gastroenterol Hepatol. 23:1087–1099. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Johnson CH, Ivanisevic J, Benton HP and
Siuzdak G: Bioinformatics: The next frontier of metabolomics. Anal
Chem. 87:147–156. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Zhao Y, Zhang X, Zhao Y, Kong D, Qin F,
Sun J and Dong Y: Identification of potential therapeutic target
genes, key miRNAs and mechanisms in acute myeloid leukemia based on
bioinformatics analysis: Med Oncol. 32:1522015.
|
|
21
|
Kameyama Y, Okazaki N, Nakagawa M, Koshida
H, Nakamura M and Gemba M: Nephrotoxicity of a new platinum
compound, 254-S, evaluated with rat kidney cortical slices. Toxicol
Lett. 52:15–24. 1990. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Fu W, Pang L, Chen Y, Yang L, Zhu J and
Wei Y: The microRNAs as prognostic biomarkers for survival in
esophageal cancer: A meta-analysis. Scientific World J.
2014:5239792014. View Article : Google Scholar
|
|
23
|
Liu T, Liu Q, Zheng S, Gao X, Lu M, Yang
C, Dai F, Sheyhidin I and Lu X: MicroRNA-21 promotes cell growth
and migration by targeting programmed cell death 4 gene in Kazakh's
esophageal squamous cell carcinoma. Dis Markers. 2014:2328372014.
View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Komatsu S, Ichikawa D, Takeshita H,
Konishi H, Nagata H, Hirajima S, Kawaguchi T, Arita T, Shiozaki A,
Fujiwara H, et al: Prognostic impact of circulating miR-21 and
miR-375 in plasma of patients with esophageal squamous cell
carcinoma. Expert Opin Biol Ther. 12:(Suppl 1). S53–S59. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Gozgit JM, Pentecost BT, Marconi SA,
Ricketts-Loriaux RSJ, Otis CN and Arcaro KF: PLD1 is overexpressed
in an ER-negative MCF-7 cell line variant and a subset of
phospho-Akt-negative breast carcinomas. Br J Cancer. 97:809–817.
2007. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Zhang J, Bian Z, Zhou J, Song M, Liu Z,
Feng Y, Zhe L, Zhang B, Yin Y and Huang Z: MicroRNA-638 inhibits
cell proliferation by targeting phospholipase D1 in human gastric
carcinoma. Protein Cell. 6:680–688. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Theocharis S, Klijanienko J, Giaginis C,
Rodriguez J, Jouffroy T, Girod A, Point D, Tsourouflis G and
Sastre-Garau X: Expression of DNA repair proteins, MSH2, MLH1 and
MGMT in mobile tongue squamous cell carcinoma: associations with
clinicopathological parameters and patients' survival. J Oral
Pathol Med. 40:218–226. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Cheng JY, Nishi H, Yonekawa C, Takara K
and Isaka K: MicroRNA-21 increases the resistance to CDDP in HeLa
cervical carcinoma cells by targeting PDCD4 and MSH2. FASEB J.
27:(Suppl). 1b5762013.
|
|
29
|
Myklebust MP, Fluge Ø, Immervoll H,
Skarstein A, Balteskard L, Bruland O and Dahl O: Expression of DSG1
and DSC1 are prognostic markers in anal carcinoma patients. Br J
Cancer. 106:756–762. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Medes G, Thomas A and Weinhouse S:
Metabolism of neoplastic tissue. IV. A study of lipid synthesis in
neoplastic tissue slices in vitro. Cancer Res. 13:27–29.
1953.PubMed/NCBI
|
|
31
|
Saigusa S, Tanaka K, Ohi M, Toiyama Y,
Yasuda H, Kitajima T, Okugawa Y, Inoue Y, Mohri Y and Kusunoki M:
Clinical implications of Fas/Fas ligand expression in patients with
esophageal squamous cell carcinoma following neoadjuvant
chemoradiotherapy. Mol Clin Oncol. 3:151–156. 2015.PubMed/NCBI
|
