Liquid biopsy of extracellular vesicle biomarkers for prostate cancer personalized treatment decision
- Meng Han 1,2, Bairen Pang 3,4, Cheng Zhou 1,2, Xin Li 1,2, Qi Wang 3,4, Junhui Jiang 1,2, Yong Li 3,4
- Meng Han 1,2, Bairen Pang 3,4, Cheng Zhou 1,2
- 1Translational Research Laboratory for Urology, the Key Laboratory of Ningbo City, Ningbo First Hospital, The Affiliated Hospital of Ningbo University, Ningbo 315600, Zhejiang, China.
- 2Ningbo Clinical Research Center for Urological Disease, Ningbo 315600, Zhejiang, China.
- 3St George and Sutherland Clinical School, Faculty of Medicine, UNSW Sydney, Kensington, NSW 2052, Australia.
- 4Cancer Care Centre, St. George Hospital, Kogarah, NSW 2217, Australia.
- 0Translational Research Laboratory for Urology, the Key Laboratory of Ningbo City, Ningbo First Hospital, The Affiliated Hospital of Ningbo University, Ningbo 315600, Zhejiang, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Liquid biopsy using tumor-derived extracellular vesicles (EVs) shows promise for early prostate cancer (CaP) diagnosis and staging. This non-invasive approach offers a new avenue for personalized CaP medicine.
Area Of Science
- Oncology
- Biomarker Discovery
- Molecular Diagnostics
Background
- Prostate cancer (CaP) diagnosis often relies on invasive surgical biopsies.
- Tumor-derived extracellular vesicles (EVs) contain specific biomarkers relevant to CaP.
- EVs facilitate intercellular communication and are detectable in patient biofluids.
Purpose Of The Study
- To explore the potential of liquid biopsy using EVs for early prostate cancer diagnosis.
- To identify novel EV biomarkers for predicting CaP stages.
- To establish a less-invasive alternative to traditional biopsies for CaP management.
Main Methods
- Utilizing high-throughput next-generation sequencing and proteomic technologies.
- Analyzing EV contents from blood and urine samples of CaP patients.
- Developing machine learning models for biomarker validation.
Main Results
- Novel EV biomarkers were detected non-invasively across different CaP stages.
- EV analysis demonstrated specific expression patterns in CaP patients.
- Potential for improved diagnostic sensitivity and specificity through validation.
Conclusions
- EV-based liquid biopsy is a promising, minimally invasive tool for prostate cancer detection and staging.
- This approach can provide a comprehensive tumor profile from simple biofluid samples.
- EV biomarkers pave the way for personalized medicine strategies in CaP treatment.
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