Dynamic changes in microRNA expression profiles reflect progression of Barrett'S esophagus to esophageal adenocarcinoma

Carcinogenesis

Volumn 36, Issue 5, 2015, Pages 521-527

  Slaby, Ondrej ^a   Srovnal, Josef ^b   Radova, Lenka ^a   Gregar, Jan ^c   Juracek, Jaroslav ^a   Luzna, Pavla ^b   Svoboda, Marek ^a   Hajduch, Marian ^b   Ehrmann, Jiri ^b  

^a MASARYK UNIVERSITY   (Czech Republic)

^b PALACKÝ UNIVERSITY   (Czech Republic)

^c UNIVERSITY HOSPITAL OLOMOUC   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA; MICRORNA 194; MICRORNA 196A; MICRORNA 203; MICRORNA 205; MICRORNA 21; MICRORNA 210; MICRORNA 25; MICRORNA 378; UNCLASSIFIED DRUG; TUMOR MARKER;

ADULT; AGED; ARTICLE; BARRETT ESOPHAGUS; CANCER GROWTH; CARCINOGENESIS; CONTROLLED STUDY; DNA MICROARRAY; ESOPHAGEAL ADENOCARCINOMA; ESOPHAGUS DYSPLASIA; ESOPHAGUS MUCOSA; FEMALE; GENE EXPRESSION PROFILING; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; ADENOCARCINOMA; CANCER STAGING; CASE CONTROL STUDY; CLINICAL TRIAL; COMPARATIVE STUDY; DISEASE COURSE; ESOPHAGUS; ESOPHAGUS TUMOR; FOLLOW UP; GENE EXPRESSION REGULATION; GENETICS; LYMPH NODE METASTASIS; METABOLISM; MIDDLE AGED; PATHOLOGY; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY;

ADENOCARCINOMA; AGED; BARRETT ESOPHAGUS; CASE-CONTROL STUDIES; DISEASE PROGRESSION; ESOPHAGEAL NEOPLASMS; ESOPHAGUS; FEMALE; FOLLOW-UP STUDIES; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LYMPHATIC METASTASIS; MALE; MICRORNAS; MIDDLE AGED; NEOPLASM STAGING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PROGNOSIS; RETROSPECTIVE STUDIES; ROC CURVE; TUMOR MARKERS, BIOLOGICAL;

EID: 84929146575     PISSN: 01433334     EISSN: 14602180     Source Type: Journal    
DOI: 10.1093/carcin/bgv023     Document Type: Article

References (31)

1. Shaheen, N.J. et al. (2009) Barrett's oesophagus. Lancet, 373, 850-861.
2. Wang, K.K. et al. (2008) Updated guidelines 2008 for the diagnosis, surveillance and therapy of Barrett's esophagus. Am. J. Gastroenterol., 103, 788-797.
3. Parrilla, P. et al. (1990) Evaluation of the magnitude of gastro-oesophageal reflux in Barrett's oesophagus. Gut, 31, 964-967.
4. Schnell, T.G. et al. (2001) Long-term nonsurgical management of Barrett's esophagus with high-grade dysplasia. Gastroenterology, 120, 1607-1619.
5. Bhat, S. et al. (2011) Risk of malignant progression in Barrett's esophagus patients: results from a large population-based study. J. Natl. Cancer Inst., 103, 1049-1057.
6. Montgomery, E. et al. (2001) Reproducibility of the diagnosis of dysplasia in Barrett esophagus: a reaffirmation. Hum. Pathol., 32, 368-378.
7. Wu, X. et al. (2013) MicroRNA expression signatures during malignant progression from Barrett's esophagus to esophageal adenocarcinoma. Cancer Prev. Res. (Phila)., 6, 196-205.
8. Croce, C.M. (2009) Causes and consequences of microRNA dysregulation in cancer. Nat. Rev. Genet., 10, 704-714.
9. Iorio, M.V. et al. (2012) microRNA involvement in human cancer. Carcinogenesis, 33, 1126-1133.
10. Iorio, M.V. et al. (2012) MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review. EMBO Mol. Med., 4, 143-159.
11. Munker, R. et al. (2011) MicroRNA profiling in cancer. Clin. Sci. (Lond)., 121, 141-158.
12. Lu, J. et al. (2005) MicroRNA expression profiles classify human cancers. Nature, 435, 834-838.
13. Kolbert, C.P. et al. (2013) Multi-platform analysis of microRNA expression measurements in RNA from fresh frozen and FFPE tissues. PLoS One, 8, e52517.
14. Hall, J.S. et al. (2012) Enhanced stability of microRNA expression facilitates classification of FFPE tumour samples exhibiting near total mRNA degradation. Br. J. Cancer, 107, 684-694.
15. Matsuzaki, J. et al. (2014) MicroRNAs in Barrett's esophagus: future prospects. Front. Genet., 5, 69.
16. Kan, T. et al. (2009) MicroRNAs in Barrett's esophagus and esophageal adenocarcinoma. Curr. Opin. Pharmacol., 9, 727-732.
17. Yang, H. et al. (2009) MicroRNA expression signatures in Barrett's esophagus and esophageal adenocarcinoma. Clin. Cancer Res., 15, 5744-5752.
18. Smith, C.M. et al. (2010) MicroRNAs, development of Barrett's esophagus, and progression to esophageal adenocarcinoma. World J. Gastroenterol., 16, 531-537.
19. Wijnhoven, B.P. et al. (2010) MicroRNA profiling of Barrett's oesophagus and oesophageal adenocarcinoma. Br. J. Surg., 97, 853-861.
20. Fassan, M. et al. (2011) MicroRNA expression profiling in human Barrett's carcinogenesis. Int. J. Cancer, 129, 1661-1670.
21. Fassan, M. et al. (2013) MicroRNA expression profiling in the histological subtypes of Barrett's metaplasia. Clin. Transl. Gastroenterol., 4, e34.
22. Garman, K.S. et al. (2013) MicroRNA expression differentiates squamous epithelium from Barrett's esophagus and esophageal cancer. Dig. Dis. Sci., 58, 3178-3188.
23. Maru, D.M. et al. (2009) MicroRNA-196a is a potential marker of progression during Barrett's metaplasia-dysplasia-invasive adenocarcinoma sequence in esophagus. Am. J. Pathol., 174, 1940-1948.
24. Luzna, P. et al. (2011) Changes of microRNAs-192, 196a and 203 correlate with Barrett's esophagus diagnosis and its progression compared to normal healthy individuals. Diagn. Pathol., 6, 114.
25. Leidner, R.S. et al. (2012) The microRNAs, MiR-31 and MiR-375, as candidate markers in Barrett's esophageal carcinogenesis. Genes. Chromosomes Cancer, 51, 473-479.
26. Revilla-Nuin, B. et al. (2013) Predictive value of MicroRNAs in the progression of barrett esophagus to adenocarcinoma in a long-term follow-up study. Ann. Surg., 257, 886-893.
27. Carvalho, B.S. et al. (2010) A framework for oligonucleotide microarray preprocessing. Bioinformatics, 26, 2363-2367.
28. R Core Team (2013) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/(31 March 2015, date last accessed).
29. Smyth, G.K. (2005) Limma: linear models for microarray data. In Gentleman, R., Carey, V., Dudoit, S., Irizarry, R. and Huber, W. (eds) Bioinformatics and Computational Biology Solutions using R and Bioconductor. Springer, New York, pp. 397-420.
30. Sing, T. et al. (2005) ROCR: visualizing classifier performance in R. Bioinformatics, 21, 3940-3941.
31. Zhang, H.F. et al. (2014) miR-200b suppresses invasiveness and modulates the cytoskeletal and adhesive machinery in esophageal squamous cell carcinoma cells via targeting Kindlin-2. Carcinogenesis, 35, 292-301.