1
|
Ferlay J, Colombet M, Soerjomataram I,
Mathers C, Parkin DM, Piñeros M, Znaor A and Bray F: Estimating the
global cancer incidence and mortality in 2018: GLOBOCAN sources and
methods. Int J Cancer. 144:1941–1953. 2019. View Article : Google Scholar : PubMed/NCBI
|
2
|
Abnet CC, Arnold M and Wei WQ:
Epidemiology of esophageal squamous cell carcinoma.
Gastroenterology. 154:360–373. 2018. View Article : Google Scholar : PubMed/NCBI
|
3
|
Dotto GP and Rustgi AK: Squamous cell
cancers: A unified perspective on biology and genetics. Cancer
Cell. 29:622–637. 2016. View Article : Google Scholar : PubMed/NCBI
|
4
|
Cassandri M, Smirnov A, Novelli F, Pitolli
C, Agostini M, Malewicz M, Melino G and Raschellà G: Zinc-finger
proteins in health and disease. Cell Death Discov. 3:170712017.
View Article : Google Scholar : PubMed/NCBI
|
5
|
Jen J and Wang YC: Zinc finger proteins in
cancer progression. J Biomed Sci. 23:532016. View Article : Google Scholar : PubMed/NCBI
|
6
|
Sen GL, Boxer LD, Webster DE, Bussat RT,
Qu K, Zarnegar BJ, Johnston D, Siprashvili Z and Khavari PA: ZNF750
is a p63 target gene that induces KLF4 to drive terminal epidermal
differentiation. Dev Cell. 22:669–677. 2012. View Article : Google Scholar : PubMed/NCBI
|
7
|
Boxer LD, Barajas B, Tao S, Zhang J and
Khavari PA: ZNF750 interacts with KLF4 and RCOR1, KDM1A, and
CTBP1/2 chromatin regulators to repress epidermal progenitor genes
and induce differentiation genes. Genes Dev. 28:2013–2026. 2014.
View Article : Google Scholar : PubMed/NCBI
|
8
|
Hazawa M, Lin DC, Handral H, Xu L, Chen Y,
Jiang YY, Mayakonda A, Ding LW, Meng X, Sharma A, et al: ZNF750 is
a lineage-specific tumour suppressor in squamous cell carcinoma.
Oncogene. 36:2243–2254. 2017. View Article : Google Scholar : PubMed/NCBI
|
9
|
Zhang L, Zhou Y, Cheng C, Cui H, Cheng L,
Kong P, Wang J, Li Y, Chen W, Song B, et al: Genomic analyses
reveal mutational signatures and frequently altered genes in
esophageal squamous cell carcinoma. Am J Hum Genet. 96:597–611.
2015. View Article : Google Scholar : PubMed/NCBI
|
10
|
Dai W, Ko JMY, Choi SSA, Yu Z, Ning L,
Zheng H, Gopalan V, Chan KT, Lee NP, Chan KW, et al: Whole-exome
sequencing reveals critical genes underlying metastasis in
oesophageal squamous cell carcinoma. J Pathol. 242:500–510. 2017.
View Article : Google Scholar : PubMed/NCBI
|
11
|
Luo A, Kong J, Hu G, Liew CC, Xiong M,
Wang X, Ji J, Wang T, Zhi H, Wu M and Liu Z: Discovery of
Ca2+-relevant and differentiation-associated genes
downregulated in esophageal squamous cell carcinoma using cDNA
microarray. Oncogene. 23:1291–1299. 2004. View Article : Google Scholar : PubMed/NCBI
|
12
|
Uemura N, Nakanishi Y, Kato H, Saito S,
Nagino M, Hirohashi S and Kondo T: Transglutaminase 3 as a
prognostic biomarker in esophageal cancer revealed by proteomics.
Int J Cancer. 124:2106–2115. 2009. View Article : Google Scholar : PubMed/NCBI
|
13
|
Zhang Y, Feng YB, Shen XM, Chen BS, Du XL,
Luo ML, Cai Y, Han YL, Xu X, Zhan QM and Wang MR: Exogenous
expression of Esophagin/SPRR3 attenuates the tumorigenicity of
esophageal squamous cell carcinoma cells via promoting apoptosis.
Int J Cancer. 122:260–266. 2008. View Article : Google Scholar : PubMed/NCBI
|
14
|
Lin DC, Hao JJ, Nagata Y, Xu L, Shang L,
Meng X, Sato Y, Okuno Y, Varela AM, Ding LW, et al: Genomic and
molecular characterization of esophageal squamous cell carcinoma.
Nat Genet. 46:467–473. 2014. View Article : Google Scholar : PubMed/NCBI
|
15
|
DeWard AD, Cramer J and Lagasse E:
Cellular heterogeneity in the mouse esophagus implicates the
presence of a nonquiescent epithelial stem cell population. Cell
Rep. 9:701–711. 2014. View Article : Google Scholar : PubMed/NCBI
|
16
|
Sanger F, Nicklen S and Coulson AR: DNA
sequencing with chain-terminating inhibitors. Proc Natl Acad Sci
USA. 74:5463–5467. 1977. View Article : Google Scholar : PubMed/NCBI
|
17
|
Shuen WH, Kan R, Yu Z, Lung HL and Lung
ML: Novel lentiviral-inducible transgene expression systems and
versatile single-plasmid reporters for in vitro and in vivo cancer
biology studies. Cancer Gene Ther. 22:207–214. 2015. View Article : Google Scholar : PubMed/NCBI
|
18
|
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
|
19
|
Schneider CA, Rasband WS and Eliceiri KW:
NIH Image to ImageJ: 25 years of image analysis. Nat Methods.
9:671–675. 2012. View Article : Google Scholar : PubMed/NCBI
|
20
|
Kim D, Pertea G, Trapnell C, Pimentel H,
Kelley R and Salzberg SL: TopHat2: Accurate alignment of
transcriptomes in the presence of insertions, deletions and gene
fusions. Genome Biol. 14:R362013. View Article : Google Scholar : PubMed/NCBI
|
21
|
Trapnell C, Roberts A, Goff L, Pertea G,
Kim D, Kelley DR, Pimentel H, Salzberg SL, Rinn JL and Pachter L:
Differential gene and transcript expression analysis of RNA-seq
experiments with TopHat and Cufflinks. Nat Protoc. 7:562–578. 2012.
View Article : Google Scholar : PubMed/NCBI
|
22
|
Subramanian A, Tamayo P, Mootha VK,
Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub
TR, Lander ES and Mesirov JP: Gene set enrichment analysis: A
knowledge-based approach for interpreting genome-wide expression
profiles. Proc Natl Acad Sci USA. 102:15545–15550. 2005. View Article : Google Scholar : PubMed/NCBI
|
23
|
Chen J, Bardes EE, Aronow BJ and Jegga AG:
ToppGene Suite for gene list enrichment analysis and candidate gene
prioritization. Nucleic Acids Res. 37:305–311. 2009. View Article : Google Scholar : PubMed/NCBI
|
24
|
Grossman RL, Heath AP, Ferretti V, Varmus
HE, Lowy DR, Kibbe WA and Staudt LM: Toward a shared vision for
cancer genomic data. N Engl J Med. 375:1109–1112. 2016. View Article : Google Scholar : PubMed/NCBI
|
25
|
Collins FS and Barker AD: Mapping the
cancer genome. Pinpointing the genes involved in cancer will help
chart a new course across the complex landscape of human
malignancies. Sci Am. 296:50–57. 2007. View Article : Google Scholar : PubMed/NCBI
|
26
|
R Core Team (2014), . R: A language and
environment for statistical computing. R Foundation for Statistical
Computing; Vienna, Austria: http://www.R-project.org/
|
27
|
Colaprico A, Silva TC, Olsen C, Garofano
L, Cava C, Garolini D, Sabedot TS, Malta TM, Pagnotta SM,
Castiglioni I, et al: TCGAbiolinks: An R/Bioconductor package for
integrative analysis of TCGA data. Nucleic Acids Res. 44:e712016.
View Article : Google Scholar : PubMed/NCBI
|
28
|
Koterazawa Y, Koyanagi-Aoi M, Uehara K,
Kakeji Y and Aoi T: Retinoic acid receptor γ activation promotes
differentiation of human induced pluripotent stem cells into
esophageal epithelium. J Gastroenterol. 55:763–774. 2020.
View Article : Google Scholar : PubMed/NCBI
|
29
|
Ohashi S, Miyamoto S, Kikuchi O, Goto T,
Amanuma Y and Muto M: Recent advances from basic and clinical
studies of esophageal squamous cell carcinoma. Gastroenterology.
149:1700–1715. 2015. View Article : Google Scholar : PubMed/NCBI
|
30
|
Song Y, Li L, Ou Y, Gao Z, Li E, Li X,
Zhang W, Wang J, Xu L, Zhou Y, et al: Identification of genomic
alterations in oesophageal squamous cell cancer. Nature. 509:91–95.
2014. View Article : Google Scholar : PubMed/NCBI
|
31
|
Gao YB, Chen ZL, Li JG, Hu XD, Shi XJ, Sun
ZM, Zhang F, Zhao ZR, Li ZT, Liu ZY, et al: Genetic landscape of
esophageal squamous cell carcinoma. Nat Genet. 46:1097–1102. 2014.
View Article : Google Scholar : PubMed/NCBI
|
32
|
Whelan KA, Muir AB and Nakagawa H:
Esophageal 3D culture systems as modeling tools in esophageal
epithelial pathobiology and personalized medicine. Cell Mol
Gastroenterol Hepatol. 5:461–478. 2018. View Article : Google Scholar : PubMed/NCBI
|
33
|
He H, Li S, Hong Y, Zou H, Chen H, Ding F,
Wan Y and Liu Z: Krüppel-like factor 4 promotes esophageal squamous
cell carcinoma differentiation by Up-regulating keratin 13
expression. J Biol Chem. 290:13567–1377. 2015. View Article : Google Scholar : PubMed/NCBI
|
34
|
Zhong X, Huang G, Ma Q, Liao H, Liu C, Pu
W, Xu L, Cai Y and Guo X: Identification of crucial miRNAs and
genes in esophageal squamous cell carcinoma by miRNA-mRNA
integrated analysis. Medicine (Baltimore). 98:e162692019.
View Article : Google Scholar : PubMed/NCBI
|
35
|
Luo A, Chen H, Ding F, Zhang Y, Wang M,
Xiao Z and Liu Z: Small proline-rich repeat protein 3 enhances the
sensitivity of esophageal cancer cells in response to DNA
damage-induced apoptosis. Mol Oncol. 7:955–967. 2013. View Article : Google Scholar : PubMed/NCBI
|