Small nucleolar RNAs (snoRNAs) are dynamically regulated in different tissues and affected in disease. SnoRNAs are processed further to stable smaller RNAs. We sequenced the small RNA transcriptome of prostate cancer (PCa) at different PCa stages and generated a quantified catalogue of 3927 small non-coding RNAs (sncRNAs) detected in normal and malignant prostate tissue. From these, only 1524 are microRNAs. The remaining 2401 sncRNAs represent stable sncRNAs species that originate from snoRNA, tRNA and other sncRNAs. We show that snoRNA-derived RNAs (sdRNAs) display stronger differential expression than microRNAs and are massively upregulated in PCa. SdRNAs account for at least one third of all small RNAs with expression changes in tumor compared to normal adjacent tissue. Multiple sdRNAs can be produced from one snoRNA in a manner related to the conservation of structural snoRNA motifs. Q-PCR analysis in an independent patient cohort (n=106) confirmed the processing patterns of selected snoRNAs (SNORD44, SNORD78, SNORD74 and SNORD81) and the cancer-associated up-regulation of their sdRNAs observed in sequencing data. Importantly, expression of SNORD78 and its sdRNA is significantly higher in a subset of patients that developed metastatic disease demonstrating that snoRNA and sdRNAs may present as novel diagnostic and/or prognostic biomarkers for PCa.
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http://dx.doi.org/10.18632/oncotarget.4172 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Key Laboratory for Special Functional Aggregate Materials of Education Ministry, School of Chemistry and Chemical Engineering, Shandong University, Jinan, Shandong 250100, China.
The adsorption of DNA probes onto nanomaterials represents a promising bioassay technique, generally employing fluorescence or catalytic activity to generate signals. A significant challenge is maintaining the catalytic activity of chromogenic catalysts during detection while enhancing accuracy by overcoming the limitations of single-signal transmission. This article presents an innovative multimodal analysis approach that synergistically combines the oxidase-like activity of Fe-N-C nanozyme (Fe-NC) with red fluorescent carbon quantum dots (R-CQDs), further advancing the dual-mode analysis method utilizing R-CQDs@Fe-NC.
View Article and Find Full Text PDFProstate Cancer Prostatic Dis
January 2025
Copenhagen Prostate Cancer Center, Department of Urology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Background: Men with pathogenic BRCA1/2 variants are at higher risk of prostate cancer We included men with likely pathogenic/pathogenic (LP/P) variants in BRCA1/2 in a prostate-specific antigen (PSA) screening program after cascade germline testing since 2014. PSA was tested yearly and an age-specific low PSA threshold for biopsy was used, to determine if a low PSA threshold for biopsy is justified for men with pathogenic BRCA1/2 variants.
Methods: From 2014 to 2023 a total of 340 men were included in the program.
Sci Rep
January 2025
Department of Urology Surgery, Guizhou Provincial People's Hospital, Guiyang, 550002, Guizhou Province, China.
The imbalance between estrogen and androgen may be an important mechanism of BPH, but the specific mechanism remains unclear. We used mixed sustained-release pellets made of testosterone and estradiol (T + E) to stimulate the establishment of a BPH rat model. Compared to the prostate hyperplasia rat model using only androgens, the new prostate hyperplasia rat model can be observed to have better macroscopic and pathological characteristics of prostate hyperplasia.
View Article and Find Full Text PDFEur Urol
January 2025
Department of Radiation Oncology, Medical Center - University of Freiburg Freiburg Germany; German Oncology Center, European University Cyprus Limassol Cyprus. Electronic address:
The Co-IMPACT consortium addresses knowledge gaps in prostate-specific membrane antigen positron emission tomography-guided radiotherapy for prostate cancer by establishing a global database (46 centres from 16 countries) to standardise and analyse data across four distinguished clinical scenarios. A collaborative model with the Advanced Prostate Cancer Consensus Conference aligns urgent clinical needs with actionable research insights.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
January 2025
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, USA.
Aim: Artificial intelligence (AI) based auto-segmentation aids radiation therapy (RT) workflows and is being adopted in clinical environments facilitated by the increased availability of commercial solutions for organs at risk (OARs). In addition, open-source imaging datasets support training for new auto-segmentation algorithms. Here, we studied if the female and male anatomies are equally represented among these solutions.
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