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Related Experiment Video

Updated: Oct 13, 2025

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR qPCR
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Selective Microfluidic Capture and Detection of Prostate Cancer Cells from Urine without Digital Rectal Examination.

Kit Man Chan1, Jonathan M Gleadle2,3, Philip A Gregory4,5

  • 1Future Industries Institute, UniSA STEM, University of South Australia, Adelaide, SA 5095, Australia.

Cancers
|November 13, 2021
PubMed
Summary

Researchers developed a novel biosensing platform for prostate cancer (PCa) detection using urine samples. This noninvasive method eliminates the need for digital rectal examination (DRE), improving early cancer diagnosis accessibility.

Keywords:
PSMAbiosensorscancer detectionhexaminolevulinic acidmicrofluidicnanotechnologiesphotodynamic diagnosisprostate cancerurine

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Area of Science:

  • Biomedical Engineering
  • Oncology
  • Diagnostic Technologies

Background:

  • Urine biomarkers show promise for prostate cancer (PCa) detection.
  • Current methods often require invasive procedures like digital rectal examination (DRE) before urine sampling.

Purpose of the Study:

  • To evaluate a microfluidic-based biosensing platform for PCa cell detection in voided urine.
  • To assess the diagnostic performance of this platform without prior DRE.

Main Methods:

  • Utilized a microfluidic platform combining photodynamic diagnostics and immunocapture.
  • Validated platform sensitivity and functionality with cultured cells and patient urine samples.
  • Employed quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) for validation.

Main Results:

  • The platform demonstrated a detection limit of fewer than 10 PCa cells per 60 µL.
  • Successfully detected PCa biomarkers in urine samples from cancer patients without prior DRE.
  • Achieved a diagnostic sensitivity of 72.4% and specificity of 71.4%.

Conclusions:

  • This study presents a significant advancement in noninvasive prostate cancer diagnostics.
  • The developed biosensing platform offers a DRE-free approach for PCa detection.
  • Further development holds potential for more accessible and patient-friendly cancer screening.