MicroRNAs (miRNAs) are short, conserved segments of non-coding RNA which play a significant role in prostate cancer development and progression. To identify miRNAs associated with castration resistance, we performed miRNA microarray analysis comparing castration resistant prostate cancer (CRPC) with androgen dependent prostate cancer (ADPC). We identified common underexpression of miR-4638-5p in CRPC compared to ADPC samples, which were further confirmed by quantitative PCR analysis. The role of miR-4638-5p in prostate cancer androgen-independent growth has been demonstrated both in vitro and in vivo. We also identified Kidins220 as a target gene directly regulated by miR-4638-5p and shRNA-mediated knockdown of Kidins220 phenocopied miR-4638-5p restoration. Subsequently, we revealed that Kidins220 activates PI3K/AKT pathway, which plays a key role in CRPC. Loss of miR- 4638-5p may lead to CRPC through the activity of Kidins220 and PI3K/AKT pathway. Furthermore, we found that miR-4638-5p, through regulating Kidins220 and the downstream activity of VEGF and PI3K/AKT pathway, influences prostate cancer progression via angiogenesis. The identification of miR-4638-5p down-regulation in CRPC and the understanding of the functional role of miR-4638-5p and its downstream genes/pathways have the potential to develop biomarkers for CRPC onset and to identify novel targets for novel forms of treatments of this lethal form of PCa.

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In radar system simulation, the reliability of simulation results depends not only on radar and target models, but also on RF (radio frequency) environment models, including clutter, multipath and diffraction. In radar function simulation, all of these factors are treated as a single pattern-propagation factor and can only give limited information for radar models. In signal-level simulation, radar models require that simulated echoes should include information such as delay, phase shift, doppler frequency, polarization, etc. By discussing and analyzing the principles and algorithms of RF environment effects of ground, a ground RF environment model is proposed, which can provide a reliable RF environment for signal-level simulation of radar systems. A simulation example involving clutter model is carried out and analyzed.

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