Holdmann Jonas, Markert Lukas, Klinger Claudia, Kaufmann Michael, Schork Karin, Turewicz Michael, Eisenacher Martin, Degener Stephan, Dreger Nici M, Roth Stephan, Savelsbergh Andreas
Chair for Biochemistry and Molecular Medicine, Division of Functional Genomics, Witten/Herdecke University, Witten - Germany.
Contributed equally.
J Circ Biomark. 2022 Feb 10;11:5-13. doi: 10.33393/jcb.2022.2317. eCollection 2022 Jan-Dec.
: Prostate cancer (PCa) is the second most frequently diagnosed cancer and the fifth most cancer-related cause of death worldwide. Various tools are used in the diagnosis of PCa, such as the Prostate-Specific Antigen (PSA) value or digital rectal examination. A final differentiation from benign prostate diseases such as benign prostatic hyperplasia (BPH) can often only be made by a transrectal prostate biopsy. This procedure carries post-procedural complications for the patients and may lead to hospitalization. Urinary exosomes contain unique components, such as microRNAs (miRNAs) with information about their original tissue. As miRNAs appear to play a role in the development of PCa, they might be useful to develop procedures that could potentially make transrectal biopsies avoidable in certain situations.
: The current study aimed to investigate whether miRNAs from urinary exosomes can be used to differentiate PCa from BPH. For this purpose, urine samples from 28 patients with PCa and 25 patients with BPH were collected and analysed using next-generation sequencing to obtain expression profiles.
: The two miRNAs hsa-miR-532-3p and hsa-miR-6749-5p showed a significant differential expression within the group of patients with PCa in a training subset of the data containing 32 patients. They were further validated on the independent test data subset containing 20 patients. Additionally, a machine learning algorithm was used to generate a miRNA pattern to distinguish the two disease entities. Both approaches seem to be suitable for the search of alternative diagnostic tools for the differentiation of benign and malignant prostate diseases.
前列腺癌(PCa)是全球第二常见的诊断癌症,也是与癌症相关的第五大死因。前列腺癌的诊断使用了各种工具,如前列腺特异性抗原(PSA)值或直肠指检。通常只有通过经直肠前列腺活检才能最终区分前列腺癌与良性前列腺疾病,如良性前列腺增生(BPH)。该手术会给患者带来术后并发症,并可能导致住院。尿液外泌体包含独特的成分,如携带其原始组织信息的微小RNA(miRNA)。由于miRNA似乎在前列腺癌的发展中起作用,它们可能有助于开发在某些情况下可能避免经直肠活检的程序。
本研究旨在调查尿液外泌体中的miRNA是否可用于区分前列腺癌和良性前列腺增生。为此,收集了28例前列腺癌患者和25例良性前列腺增生患者的尿液样本,并使用下一代测序进行分析以获得表达谱。
在包含32例患者的数据训练子集中,两种miRNA,即hsa-miR-532-3p和hsa-miR-6749-5p在前列腺癌患者组中显示出显著的差异表达。它们在包含20例患者的独立测试数据子集中得到了进一步验证。此外,使用机器学习算法生成了一种miRNA模式来区分这两种疾病实体。这两种方法似乎都适用于寻找区分良性和恶性前列腺疾病的替代诊断工具。