Circulating RNAs in prostate cancer patients

Area of Science:

• Biochemistry
• Molecular Biology
• Oncology

Background:

• Prostate cancer (PCa) diagnosis and monitoring can be improved by identifying biomarkers in patient biofluids.
• Extracellular RNAs (exRNAs) circulating in blood and urine, particularly those within extracellular vesicles (EVs), are promising candidates for cancer detection.
• Current challenges include the heterogeneity of EVs and the complexity of their associated RNA cargo, hindering the identification of tumor-specific signals.

Purpose of the Study:

• To explore the potential of extracellular RNA molecules (exRNAs) as biomarkers for prostate cancer (PCa).
• To review current methods for isolating EVs and their associated RNAs (EV-RNAs) for biomarker discovery.
• To highlight the need for advanced technologies and computational approaches to decipher the complex EV-RNA landscape in cancer patients.

Main Methods:

• Review of existing literature on EV isolation and RNA sequencing (RNA-Seq) techniques.
• Discussion of deconvolution algorithms for analyzing gene expression data from heterogeneous EV populations.
• Emphasis on the development of novel strategies for single EV sorting and RNA sequencing.

Main Results:

• EV-associated RNAs (EV-RNAs) have been utilized in diagnostic assays, such as the PCA3 test, for early PCa detection.
• The heterogeneity of circulating EVs, originating from both cancerous and normal cells, creates a complex transcriptional signal.
• Existing deconvolution algorithms aim to infer cancer-specific signals from mixed gene expression data.

Conclusions:

• EV-RNA biomarkers hold significant potential for improving prostate cancer diagnostics and progression monitoring.
• Addressing the heterogeneity of circulating EVs and their RNA cargo is crucial for accurate biomarker identification.
• Advancements in EV sorting, single-EV sequencing, and computational analysis are essential to fully harness the potential of EV-RNAs in PCa research.