Rapid Decentralized Prostate Cancer Risk Stratification by Portable Liquid Biopsy Analysis within a Clinical Biosensor Validation Framework

Clinical liquid biopsy (e.g., blood or urine) specimens, as a minimally invasive source of crucial molecular information, continue to grow in importance for efficacious targeted cancer treatment. Yet, current molecular profiling technologies are still confined to centralized laboratory testing, which escalates testing costs, result turnaround time, and patient anxiety. Crucially, there is also a scarcity of purposeful clinical validation studies to rigorously evaluate emerging liquid biopsy technologies from research settings to facilitate clinical translation. Here, we report liquid biopsy biosensor advancements in achieving rapid, accurate, and decentralized molecular profiling of a clinically accredited prostate cancer (PCa) urinary circulating RNA biomarker panel. This biosensor approach, termed 'Accelerated non-inVasive bioAnalyte testing And Reporting' (AVATAR), integrates accelerated isothermal assay chemistry and wireless mobile operation capabilities onto a portable electrochemical readout platform. AVATAR enables easy operational control and result display with a custom mobile app following liquid biopsy specimen collection. Using independent training (n = 124) and validation (n = 114) PCa clinical urinary specimen cohorts, we showed AVATAR achieved superior PCa risk stratification to current clinical PCa testing with area-under-curve values of 0.88 (95% confidence interval: 0.84-0.92) and 0.86 (95% confidence interval: 0.83-0.89), respectively within 55 min of assay time. To further accelerate AVATAR for using PCa liquid biopsies as a surrogate for invasive tissue sampling, we designed a tailored multi-year PCa follow-up study with individual patient liquid biopsy specimens showing strong molecular biomarker correlation with comprehensive transcriptomic sequencing of matched tissue specimens (n = 39). By creating this bespoke biosensor technology clinical translation framework, we demonstrated AVATAR for decentralized PCa liquid biopsy molecular profiling to augment clinical precision cancer management planning.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-01-27
DOI
https://doi.org/10.1002/advs.202512126
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rapid Decentralized Prostate Cancer Risk Stratification by Portable Liquid Biopsy Analysis within a Clinical Biosensor Validation Framework

Binny Jaradi, Grant Phillips, Paul N. Mainwaring, Hemamali Samaratunga et al.
Advanced Science
Cancer Genomics and Diagnostics
article

Rapid Decentralized Prostate Cancer Risk Stratification by Portable Liquid Biopsy Analysis within a Clinical Biosensor Validation Framework

Binny Jaradi, Grant Phillips, Paul N. Mainwaring, Hemamali Samaratunga, Scott A. Tomlins, Kira J. Fitzpatrick, Robert A. Gardiner, Sriganesh Srihari, Matt Trau, Ke‐lin Ru, Kevin M. Koo, John W. Yaxley, Áine Farrell, Matthew J. Roberts, Darren J. Korbie
article en

Abstract

Clinical liquid biopsy (e.g., blood or urine) specimens, as a minimally invasive source of crucial molecular information, continue to grow in importance for efficacious targeted cancer treatment. Yet, current molecular profiling technologies are still confined to centralized laboratory testing, which escalates testing costs, result turnaround time, and patient anxiety. Crucially, there is also a scarcity of purposeful clinical validation studies to rigorously evaluate emerging liquid biopsy technologies from research settings to facilitate clinical translation. Here, we report liquid biopsy biosensor advancements in achieving rapid, accurate, and decentralized molecular profiling of a clinically accredited prostate cancer (PCa) urinary circulating RNA biomarker panel. This biosensor approach, termed 'Accelerated non-inVasive bioAnalyte testing And Reporting' (AVATAR), integrates accelerated isothermal assay chemistry and wireless mobile operation capabilities onto a portable electrochemical readout platform. AVATAR enables easy operational control and result display with a custom mobile app following liquid biopsy specimen collection. Using independent training (n = 124) and validation (n = 114) PCa clinical urinary specimen cohorts, we showed AVATAR achieved superior PCa risk stratification to current clinical PCa testing with area-under-curve values of 0.88 (95% confidence interval: 0.84-0.92) and 0.86 (95% confidence interval: 0.83-0.89), respectively within 55 min of assay time. To further accelerate AVATAR for using PCa liquid biopsies as a surrogate for invasive tissue sampling, we designed a tailored multi-year PCa follow-up study with individual patient liquid biopsy specimens showing strong molecular biomarker correlation with comprehensive transcriptomic sequencing of matched tissue specimens (n = 39). By creating this bespoke biosensor technology clinical translation framework, we demonstrated AVATAR for decentralized PCa liquid biopsy molecular profiling to augment clinical precision cancer management planning.

Advanced ScienceVol. 13(13)
Edith Cowan University (AU), The University of Queensland (AU), Stratasys (Israel) (IL), QIMR Berghofer Medical Research Institute (AU), University of Michigan (US), Royal Brisbane and Women's Hospital (AU), Australian National Fabrication Facility (AU), XING Technologies (Australia) (AU), Children's Specialized Hospital (US)
U.S. Department of Defense, Prostate Cancer Foundation, A. Alfred Taubman Medical Research Institute, Queensland Health, Prostate Cancer Foundation of Australia, University of Queensland, National Institutes of Health, Metro North Hospital and Health Service, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 77%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.