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Abstract：
The present study investigated ultrasound (US) phenotypes reflecting prostate cancer (PCa)-related genetic mutations. Herein, integration of radiotranscriptomic data, US and contrast-enhanced ultrasound (CEUS) radiomic images, and RNA sequencing was performed with the aim of significantly improving the accuracy of PCa prognosis. We performed radiotranscriptomic analysis of clinical, imaging, and two genomic (mRNA and microRNA expression) datasets from 48 and 22 men with PCa and benign prostatic hyperplasia (BPH), respectively. Twenty-three US texture features and four microvascular perfusion features were associated with various patterns of 52 differentially expressed genes related to PCa (p < 0.05); 17 overexpressed genes were associated with two key texture features. Twelve overexpressed genes were identified using microvascular perfusion features. Furthermore, mRNA and miRNA biomarkers could be used to distinguish between PCa and BPH. Compared with RNA sequencing, B-mode and CEUS features reflected genomic alterations associated with hormone receptor status, angiogenesis, and prognosis in patients with PCa. These findings indicate the potential of US to assess biomarker levels in patients with PCa.
摘要：
本研究调查了反映前列腺癌（PCa）相关基因突变的超声（US）表型。在这里，整合放射性转录组学数据，US和对比增强超声（CEUS）影像，RNA测序旨在显著提高PCa预后的准确性.我们进行了临床的放射性转录组学分析，成像,和来自48和22名PCa和良性前列腺增生（BPH）男性的两个基因组（mRNA和microRNA表达）数据集，分别。23个US纹理特征和4个微血管灌注特征与52个与PCa相关的差异表达基因的不同模式相关(p<0.05)；17个过表达基因与两个关键纹理特征相关。使用微血管灌注特征鉴定了十二个过表达的基因。此外，mRNA和miRNA生物标志物可用于区分PCa和BPH。与RNA测序相比，B型和CEUS特征反映了与激素受体状态相关的基因组改变，血管生成,PCa患者的预后。这些发现表明US评估PCa患者生物标志物水平的潜力。
