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MALAT1 long non-coding RNA is overexpressed in multiple myeloma and may serve as a marker to predict disease progression

BACKGROUND: The pathogenesis of multiple myeloma involves complex genetic and epigenetic events. This study aimed to investigate the role and clinical relevance of the long non-coding RNA (lncRNA), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in multiple myeloma. METHODS: Bone mar...

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Detalles Bibliográficos
Autores principales: Cho, Shih-Feng, Chang, Yuli Christine, Chang, Chao-Sung, Lin, Sheng-Fung, Liu, Yi-Chang, Hsiao, Hui-Hua, Chang, Jan-Gowth, Liu, Ta-Chih
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4233101/
https://www.ncbi.nlm.nih.gov/pubmed/25369863
http://dx.doi.org/10.1186/1471-2407-14-809
Descripción
Sumario:BACKGROUND: The pathogenesis of multiple myeloma involves complex genetic and epigenetic events. This study aimed to investigate the role and clinical relevance of the long non-coding RNA (lncRNA), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in multiple myeloma. METHODS: Bone marrow mononuclear cells were collected for analysis. The samples of multiple myeloma were taken from 45 patients at diagnosis, 61 post-treatment, and 18 who relapsed or had progression. Control samples were collected from 20 healthy individuals. Real-time quantitative reverse transcription polymerase chain reactions were performed to evaluate the expression of MALAT1. The clinical relevance of MALAT1 expression was also explored. RESULTS: MALAT1 was overexpressed in the newly diagnosed patients compared with post-treatment patients (mean ∆C(T): -5.54 ± 0.16 vs. -3.84 ± 0.09, 3.25-fold change; p < 0.001) and healthy individuals (mean ∆C(T): -5.54 ± 0.16 vs. -3.95 ± 0.21, 3.01-fold change; p < 0.001). The expression of MALAT1 strongly correlated with disease status, and the magnitude of change in MALAT1 post-treatment had prognostic relevance. The patients with early progression had a significantly smaller change in MALAT1 after treatment (mean ∆C(T) change: 1.26 ± 1.06 vs. 2.09 ± 0.79, p = 0.011). A cut-off value of the change in MALAT1 (∆C(T) change: 1.5) was obtained, and the patients with a greater decrease in MALAT1 (difference in ∆C(T) >1.5) had significantly longer progression-free survival compared with the patients with a smaller MALAT1 change (24 months vs. 11 months; p = 0.001). For the post-treatment patients, the risk of early progression could be predicted using this cut-off value. CONCLUSIONS: MALAT1 was overexpressed in patients with myeloma and may play a role in its pathogenesis. In addition, MALAT1 may serve as a molecular predictor of early progression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2407-14-809) contains supplementary material, which is available to authorized users.