Home
 /
Papers
 /
Bioengineering
 /
Programming T cells for Early Cancer Detection with Customized Protease-Activatable Receptors
Preprint
Open access
V1
Top 1% · Validated by QED

Programming T cells for Early Cancer Detection with Customized Protease-Activatable Receptors

Hathaichanok Phuengkham, Ying Chen, Anirudh Sivakumar +12 more
January 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.01.16.699939
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Bioengineering this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

OncoSCOUT transforms early cancer detection by deploying dual-gated T cells as living biosensors that amplify a urinary signal, detecting tumors as small as 10–30 mm³ and outperforming both ctDNA and CA 15-3 assays.

QED claims analysis

Summary

Protease-activatable receptors (PARs) engineered in T cells enable early cancer detection through dual-gated activation requiring both tumor-associated protease activity and antigen recognition, which reduces off-tumor activation by >75% in healthy tissues while driving secretion of synthetic urinary biomarkers that detect tumors as small as 10-30 mm³ with significantly improved sensitivity (AUC=0.96) compared to FDA-approved protein biomarkers (AUC=0.57) and circulating tumor DNA assays (AUC=0.67).

See full analysis
Main Claim 1 –

PAR T Cells Require Protease Activity and Antigen for Activation

Supporting evidence

  • PAR T Cell Activation Is Reversible With Defined Kinetic Profiles
  • Protease-Selective PARs Enable Orthogonal Activation in Mixed T Cells
Main Claim 2 –

Masked PARs Reduce Off-Tumor Activation in Antigen-Positive Tissues

Main Claim 3 –

MMP-Selective PAR T Cells Enable Urinary Biomarker Tumor Detection

Main Claim 4 –

PAR T Cell Display Identifies Protease-Selective Substrates In Vitro

Supporting evidence

  • In Vivo PAR Display Selects Substrates Driving Tumor-Selective Activation

Abstract

Early cancer detection has the potential to reduce cancer mortality, yet endogenous tumor-shed biomarkers lack sensitivity for early-stage disease. We report OncoSCOUT, a cancer detection strategy using T cells engineered with protease-activatable receptors (PARs) that conditionally recognize tumor cells and release a synthetic biomarker for detection in urine. These PARs comprise masked synthetic Notch receptors in which antigen binding is blocked by a peptide mimotope tethered via a protease-cleavable linker. We demonstrate that requiring both extracellular protease activity and tumor antigen recognition improves spatial specificity and minimizes off-tumor activation of PAR T cells in vivo. To identify tumor-selective PARs, we adoptively transferred a HER2-targeted PAR library displaying ∼160,000 unique 4-mer amino acid linkers and discovered multiple variants significantly enriched in a HER2-positive cancer xenograft model. Using a single customized PAR, we show that OncoSCOUT can detect total tumor burdens as small as 10–30 mm3 with significantly improved sensitivity than the protein biomarker CA 15-3 or a 20-plex circulating tumor DNA (ctDNA) assay.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?