AI Article Synopsis

  • Scientists are studying urine as a way to find out if someone has prostate cancer without needing surgery or anything invasive.
  • They looked at urine samples from 76 men and found different cancer-related genes in parts of the urine, specifically in tiny vesicles (EVs) and in cells (Cells).
  • The research showed that some genes are better at detecting cancer in EVs, while others are better in Cell samples, suggesting it’s a good idea to separate the urine into these parts before testing for cancer.

Article Abstract

There is considerable interest in urine as a non-invasive liquid biopsy to detect prostate cancer (PCa). PCa-specific transcripts such as the fusion gene can be found in both urine extracellular vesicles (EVs) and urine cell-sediment (Cell) but the relative usefulness of these and other genes in each fraction in PCa detection has not been fully elucidated. Urine samples from 76 men (PCa = 40, non-cancer = 36) were analysed by NanoString for 154 PCa-associated genes-probes, 11 tissue-specific, and six housekeeping. Comparison to qRT-PCR data for four genes (, , , and ) was strong ( = 0.51-0.95, Spearman < 0.00001). Comparing EV to Cells, differential gene expression analysis found 57 gene-probes significantly more highly expressed in 100 ng of amplified cDNA products from the EV fraction, and 26 in Cells ( < 0.05; edgeR). Expression levels of prostate-specific genes (, ) measured were ~20× higher in EVs, while PTPRC (white-blood Cells) was ~1000× higher in Cells. Boruta analysis identified 11 gene-probes as useful in detecting PCa: two were useful in both fractions (, ), five in EVs alone (, , , _Exons_4-5, ) and four from Cell (_Exons_6-7, , , ), suggesting that it is beneficial to fractionate whole urine prior to analysis. The five housekeeping genes were not significantly differentially expressed between PCa and non-cancer samples. Expression signatures from Cell, EV and combined data did not show evidence for one fraction providing superior information over the other.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913640PMC
http://dx.doi.org/10.3390/cancers15030789DOI Listing

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