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Article type: Research Article
Authors: Lin, Yuna | Chen, Wei-Minga; * | Wang, Chenb | Chen, Xiao-Yanb
Affiliations: [a] Department of Hematology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China | [b] Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, China
Correspondence: [*] Corresponding author: Wei-Ming Chen, Department of Hematology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, 134 Dong Jie, Fuzhou 350001, Fujian, China. Tel.: +86 591 8755 7768; Fax: +86 591 8755 7768; E-mail:chenwmpaper@sina.com
Abstract: BACKGROUND: Peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS) is an obviously heterogeneous and highly invasive malignancy without definite phenotype. MicroRNAs (miRNAs) are powerful gene regulators and have been reported as biomarkers in many malignancies. OBJECTIVE: To discover potential signaling miRNAs in PTCL-NOS distinguished from reactive lymphoid hyperplasia (RLH) and to explore the molecular characteristics based on the discovery. METHODS: We measured the expression profile of miRNAs in PTCL-NOS and RLH from our patients using a panel PCR array. We used GO-Analysis to evaluate the function of the targets regulated by the detected miRNAs. Then using pathway enrichment analysis, we defined potential pathways connected with the selected miRNAs. RESULTS: We found 20 miRNAs which were remarkably up/down-regulated in PTCL-NOS. GO-Analysis and pathway analysis indicated 61 GOs and 34 signaling pathways that were significantly increased or decreased regarding tumorigenesis, tumor progression, invasion, metastasis, and drug resistance. CONCLUSIONS: Briefly, our results suggest that 20 miRNAs have the potential to be used as biomarker for identification of patients with PTCL-NOS.
Keywords: Peripheral T-cell lymphoma, microRNA, profiling, tumorigenesis, drug resistance
DOI: 10.3233/CBM-160126
Journal: Cancer Biomarkers, vol. 18, no. 4, pp. 339-347, 2017
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