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Article type: Research Article
Authors: Guo, Hong-Qiang; ; | Huang, Guo-Liang; | Guo, Cheng-Cheng; | Pu, Xing-Xiang; | Lin, Tong-Yu;
Affiliations: Chemotherapy Department, Cancer Center, the University of Sun Yat-Sen, Guangzhou, Guangdong, China | State Key Laboratory of Oncology in South China, Guangzhou, Guangdong, China | The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China | Cancer Research Center, Guangdong Medical College, Dongguan, China
Note: [] Corresponding author: Tong-Yu Lin, 651 Dongfeng East Road, Guangzhou, Guangdong 510060, China. Tel.: +86 020 87343351; E-mail: [email protected]
Abstract: Extra-nodal natural killer T-Cell (NK/T-cell) lymphoma is a progressive cancer with poor prognosis due to the lack of disease specific treatment. To develop specific therapeutic strategies, it is essential to identify tumor markers. Recent studies show that circulating microRNA (miRNA) may serve as diagnostic and/or prognostic markers for some diseases. To explore miRNAs as potential diagnostic and/or prognostic markers of NK/T-cell lymphoma, in our study, we compared circulating miR-221 levels in 79 patients and 37 normal subjects by real-time PCR amplification directly from plasma samples, and correlated patient's miR-221 levels with their clinic features and treatment outcomes. We observed a significant difference between the patient and control groups (p=0.038), and a correlation of plasma miR-221 level in patient with sex, as well as a reverse correlation with performance status and the overall survival after treatment. Univariate and multivariate analyses further revealed that plasma miR-221 level, age, B symptoms, LDH level and complete response after primary treatment all present prognostic values when judged by overall survival (OS). Together, our results show that it is feasible to perform direct amplification of plasma miRNAs without total RNA extraction, and plasma miR-221 may be a diagnostic and prognostic marker for NK/T-cell lymphoma.
Keywords: microRNA, NK/T-cell lymphoma, prognosis, quantitative real-time PCR
DOI: 10.3233/DMA-2010-0755
Journal: Disease Markers, vol. 29, no. 5, pp. 251-258, 2010
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