ABSTRACT Background/objective Bone marrow biopsy, the gold standard for the diagnosis of multiple myeloma (MM), has main limitation of the invasiveness. Here, we explored the diagnostic and prognostic values of… Click to show full abstract
ABSTRACT Background/objective Bone marrow biopsy, the gold standard for the diagnosis of multiple myeloma (MM), has main limitation of the invasiveness. Here, we explored the diagnostic and prognostic values of circulating miR-1246 in patients with MM. Material and methods Ninety MM patients and 30 healthy donors (control group) were recruited in this study. The expression of miR-1246 in the peripheral blood samples was detected using qPCR. The receiver operating characteristic (ROC) curve was used to assess the diagnostic value of miR-1246 in MM. The Kaplan–Meier survival analyze was performed to evaluate the prognostic value of miR-1246. Results The expression level of serum miR-1246 from newly diagnosed MM patients was significantly higher than that of the control group. Circulating miR-1246 level was decreased after treatment in remission patients, but remained high levels in relapsed patients (P < 0.05). ROC analysis demonstrated that miR-1246 showed a high diagnostic value in MM with an area under the curve (AUC) of 0.952, the sensitivity of 87%, and the specificity of 95% [95% confidence interval (CI) 0.902-1.007; P < 0.001]. Kaplan–Meier analysis showed that the progression-free survival (PFS) (14.0 months vs. 26.5 months, P = 0.045) and overall survival (OS) (20.5 months vs. 55.5 months, P = 0.014) were significantly shorter in patients with high miR-1246 expression as compared with those in patients with miR-1246 low expression. Multiple Cox regression model analysis showed that circulating miR-1246 was an independent prognostic factor for PFS (HR 2.786, 95% CI: 1.420–5.467, P = 0.003) and OS (HR 2.995, 95% CI: 1.166–7.689, P = 0.023) in MM patients. Conclusion This study demonstrates that circulating miR-1246 level is elevated in MM patients, which shows high values in the diagnosis and prognosis prediction in patients with MM.
               
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