For Oncologists & Clinicians

Stop Guessing Which Patients Will Respond to Immunotherapy

Current biomarkers measure protein presence. Our functional biomarkers measure whether those proteins are actually working - giving you the information you need to match patients with the right treatment.

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The Clinical Challenge You Face Every Day

Standard biomarker tests leave critical questions unanswered, forcing difficult treatment decisions with incomplete information.

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PD-L1 Positive, But Will They Respond?

Up to 50% of PD-L1+ patients don't respond to checkpoint inhibitors. Expression doesn't guarantee the pathway is functional.

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PD-L1 Negative, Missing Responders?

Some PD-L1- patients do respond. Are you missing treatment opportunities by relying on expression alone?

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Toxicity Without Benefit

Immunotherapy side effects are significant. Patients deserve to know if they're likely to benefit before exposure.

Measure What Actually Matters: Pathway Engagement

Our FLIM-FRET technology measures whether checkpoint proteins are physically binding to their targets - not just whether they're present. This is the difference between seeing a lock and knowing if a key is turning it.

  • iFRET - Measures actual PD-1/PD-L1 engagement at the cellular level
  • Same FFPE tissue - Works with your existing diagnostic samples
  • Quantitative results - Clear threshold for treatment decisions
  • 42% reclassification - Changes clinical decision for nearly half of patients

Expression Testing

P = 0.162
Not statistically significant

Engagement Testing

P < 0.0001
Highly significant

Same patients, same tissue, same target - different predictive power

Clinical Evidence

Peer-reviewed studies demonstrating functional biomarkers outperform expression testing.

NSCLC

PD-1/PD-L1 Engagement in Lung Cancer

188 patients treated with pembrolizumab or nivolumab. High iFRET patients survived 3× longer than low iFRET patients.

31 vs 10 months median survival
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Melanoma

PD-1/PD-L1 Engagement in Melanoma

97 melanoma patients demonstrated similar predictive power, with functional engagement outperforming standard PD-L1 testing.

survival advantage
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Combination

Dual Checkpoint Engagement

Combined CTLA-4/CD80 + PD-1/PD-L1 measurement identifies patients with even greater precision for combination therapy.

4.4× survival difference (35 vs 8 months)
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Kidney Cancer

PKB/Akt Activation in ccRCC

Demonstrates functional biomarkers work beyond immunotherapy - measuring protein activation states predicts outcomes where expression fails.

HR 0.228 vs 1.390 for expression
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Simple Integration with Your Practice

No new biopsy required. Works with your existing diagnostic workflow.

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Submit FFPE Sample

Use existing diagnostic tissue from your pathology archive

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FLIM-FRET Analysis

Quantitative measurement of checkpoint engagement levels

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Clear Report

High/Low engagement status with clinical context

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Informed Decision

Select treatment based on functional pathway status

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