Reduced PDE4D7 in prostate cancer correlates with genomic downregulation within the upstream PDE4D coding region

expression is significantly associated with prostate cancer (PCa) progression, representing an attractive prognostic biomarker. We sought to determine whether other genes in the coding region were associated. RNA from biopsy punch samples of resected tumor tissue was analyzed via RNA sequencing. RT-...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Future science OA 2023-10, Vol.9 (9), p.FSO888-FSO888
Hauptverfasser: Gulliver, Chloe, Baillie, George S, Hoffmann, Ralf
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:expression is significantly associated with prostate cancer (PCa) progression, representing an attractive prognostic biomarker. We sought to determine whether other genes in the coding region were associated. RNA from biopsy punch samples of resected tumor tissue was analyzed via RNA sequencing. RT-qPCR was used to determine score. Numerous genomic sequences within the coding region on Chr5q12 revealed similar mRNA expression profiles to . had a significantly similar expression pattern to across samples, correlating with disease progression. However, many other genes also exhibited matched expression to , including miRNAs and lncRNAs. These novel -associated genes, many of which are previously uncharacterized in cancer, represent putative PCa biomarkers and could have mechanistic roles in PCa progression. Identification of biological molecules that can indicate the presence of a disease are known as biomarkers and are valuable in medical research. For prostate cancer, the gene is helpful for determining how the disease is getting worse. To understand more, this study explored whether genes located near are also connected to prostate cancer. The analysis of tumor biopsies revealed that many of these nearby genes exhibited similar expression levels to , indicating their association with disease development. These findings suggest that several of these nearby genes could serve as potential biomarkers for prostate cancer by giving important clues to understand and detect the disease better.
ISSN:2056-5623
2056-5623
DOI:10.2144/fsoa-2023-0064