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Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
Markert, Lukas; Holdmann, Jonas; Klinger, Claudia; Kaufmann, Michael; Schork, Karin; Turewicz, Michael; Eisenacher, Martin; Savelsbergh, Andreas.
Afiliação
  • Markert L; Division of Functional Genomics, Chair for Biochemistry and Molecular Medicine, Witten/Herdecke University, Witten, Germany.
  • Holdmann J; Division of Functional Genomics, Chair for Biochemistry and Molecular Medicine, Witten/Herdecke University, Witten, Germany.
  • Klinger C; Division of Functional Genomics, Chair for Biochemistry and Molecular Medicine, Witten/Herdecke University, Witten, Germany.
  • Kaufmann M; Centre for Biomedical Education and Research (ZBAF), Witten/Herdecke University, Witten, Germany.
  • Schork K; Division of Functional Genomics, Chair for Biochemistry and Molecular Medicine, Witten/Herdecke University, Witten, Germany.
  • Turewicz M; Centre for Biomedical Education and Research (ZBAF), Witten/Herdecke University, Witten, Germany.
  • Eisenacher M; Medizinisches Proteom-Centre, Ruhr-University Bochum, Bochum, Germany.
  • Savelsbergh A; Centre for Protein Diagnostics (ProDi), Medical Proteome Analysis, Ruhr-University, Bochum, Germany.
PLoS One ; 16(3): e0247930, 2021.
Article em En | MEDLINE | ID: mdl-33760831
ABSTRACT
Prostate cancer (PCa) is the most common cancer and the third most frequent cause of male cancer death in Germany. MicroRNAs (miRNA) appear to be involved in the development and progression of PCa. A diagnostic differentiation from benign prostate hyperplasia (BPH) is often only possible through transrectal punch biopsy. This procedure is described as painful and carries risks. It was investigated whether urinary miRNAs can be used as biomarkers to differentiate the prostate diseases above. Therefore urine samples from urological patients with BPH (25) or PCa (28) were analysed using Next-Generation Sequencing to detect the expression profile of total and exosomal miRNA/piRNA. 79 miRNAs and 5 piwi-interacting RNAs (piRNAs) were significantly differentially expressed (adjusted p-value < 0.05 and log2-Fc > 1 or < -1). Of these, 6 miRNAs and 2 piRNAs could be statistically validated (AUC on test cohort > = 0.7). In addition, machine-learning algorithms were used to identify a panel of 22 additional miRNAs, whose interaction makes it possible to differentiate the groups as well. There are promising individual candidates for potential use as biomarkers in prostate cancer. The innovative approach of applying machine learning methods to this kind of data could lead to further small RNAs coming into scientific focus, which have so far been neglected.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Doenças Prostáticas / Neoplasias da Próstata / MicroRNAs Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Próstata / Doenças Prostáticas / Neoplasias da Próstata / MicroRNAs Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Alemanha