Background: Although studies suggest that miR222-3p is dysregulated in prostate cancer (PC) cells and tissues, the possible changes in the level of miR222-3p in the plasma samples of PC patients remained unclear. The present study aimed to evaluate the diagnostic value of the plasma miR222-3p expression level as a potential biomarker in PC, benign prostatic hyperplasia (BPH) and healthy people.Methods: Blood samples were collected from 100 adult males (54 patients with PC, 27 patients with BPH and 19 healthy individuals) referred to our affiliated hospital.The expression level of miR222-3p was evaluated using a quantitative reverse transcription-polymerase chain reaction. Receiver operating characteristic curves were used to evaluate miR222-3p diagnostic accuracy for discriminating between the PC, BPH and healthy individuals.Results: The expression level of miR222-3p was significantly higher in PC patients compared to healthy individuals as a fold change of 5.3 (p = 0.009), but not for BPH individuals. The diagnostic value of the plasma miR222-3p for discrimination of the PC patients from healthy individuals was reasonable [cut-off value (fold change relative to miR16-5p) = 1.69, area under the curve = 0.73, sensitivity = 0.75 and specificity = 0.74].Conclusions: Circulating plasma miR-222-3p significantly upregulated in PC patients, but not in BPH ones. Besides these preliminary results showed that miR222-3p has the potential to discriminate PC patients from healthy ones. Addittional studies with a larger sample size are required to confirm these data.
Purpose
This paper aims to examine the accuracy of several higher-order incompressible smoothed particle hydrodynamics (ISPH) Laplacian models and compared with the classic model (Shao and Lo, 2003).
Design/methodology/approach
The numerical errors in solving two-dimensional elliptic partial differential equations using the Laplacian models are investigated for regular and highly irregular node distributions over a unit square computational domain.
Findings
The numerical results show that one of the Laplacian models, which is newly developed by one of the authors (Shobeyri, 2019) can get the smallest errors for various used node distributions.
Originality/value
The newly proposed model is formulated by the hybrid of the standard ISPH Laplacian model combined with Taylor expansion and moving least squares method. The superiority of the proposed model is significant when multi-resolution irregular node distributions commonly seen in adaptive refinement strategies used to save computational cost are applied.
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