Archives of Medical Science · 2016 · 14 citations · 21 references
MedicineCancer BiologyOncologyGene ExpressionMetastasisTumor ProgressionBone MetastasisBone PathologyBone TumorsMicrorna BiologyMicrorna-mediated RegulationNoncoding Rna In CancerClinicopathological CorrelationMicrorna In CancerMicrorna Prognostic MarkersOsteosarcoma RecurrencePrognostic Factors AnalysisQuantitative Polymerase Chain ReactionReal-time Polymerase Chain Reaction (Pcr)Real-time Polymerase Chain Reaction Assays
The aim of this study was to investigate the expression levels of microRNA-182 and microRNA-183 and their association with clinicopathological features in patients with osteosarcoma. Material and methods: Total RNA was purified from samples and noncancerous bone tissues and then quantitative real-time polymerase chain reaction was applied to evaluate the expression levels of microRNAs, and their relationship with clinicopathological features and survival in osteosarcoma patients. Results: Our findings showed that expression of MiR-182 was clearly lower in osteosarcoma bone tissue (mean SD: 2.84 .07) compared with noncancerous bone tissues (6.23 1.72, p = 0.004). On the other hand, lower expression of MiR-183 was seen in osteosarcoma bone tissue (1.43 0.59) when compared with normal tissues (4.36 2.47, p = 0.036). Decreased expression of MiR-182 was clearly correlated with advanced clinical stage (p = 0.001), metastasis or recurrence (p = 0.024), and large tumor size (p = 0.032). Decreased expression of MiR-183 was associated with advanced TNM stage (p = 0.004), and metastasis or recurrence (p = 0.002). A multivariate Cox proportional hazards model revealed that low expression of MiR-182 and MiR-183 (p = 0.02; p = 0.016), TNM stage (p = 0.04), and metastasis or recurrence (p = 0.03) were significantly associated with poor survival as independent prognostic factors. Conclusions: These findings suggest that MiR-182 and MiR-183 may be associated with progression and metastasis of osteosarcoma.
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Miguel F. Segura, Douglas Hanniford, Sílvia Menéndez et al. · Proceedings of the National Academy of Sciences · 2009 · 541 citations · Full text
Guangyi Zhao, Chengkui Cai, Tong-Tao Yang et al. · PLoS ONE · 2013 · 228 citations · Full text
Medicine, Cancer Biology, Oncology +17