PROphet® is a unique plasma-based, proteomic pattern analysis tool that uses a single blood sample to accurately guide first-line immunotherapy decision-making.
A new dimension to personalization
PROphet® combines bioinformatics, system biology, proteomic pattern recognition and machine learning to provide clinicians with actionable clinical insights, optimal therapy choices, and a better understanding of their patients’ personalized cancer dynamics.
PROphet® scans approximately 7,000 proteins in a patient's blood plasma and delivers a report predicting their likelihood of obtaining clinical benefit from anti-PD-1/PD-L1 treatment plans.
PROphet® scans approximately 7,000 proteins in a patient's blood plasma and delivers a report predicting their likelihood of obtaining clinical benefit from anti-PD-1/PD-L1 treatment plans.
Currently available for the following indications
Non-Small Cell
Lung Cancer (NSCLC)
Lung Cancer (NSCLC)
Melanoma
(Coming Soon)
(Coming Soon)
With just one pre-treatment blood test, PROphet® produces a
personalized report answering an important clinical question:
personalized report answering an important clinical question:
What is the optimal first line of therapy for this patient?
We apply proprietary computational models that analyze the proteomic patterns in the patient’s plasma and identify those proteins that are associated with resistance to treatment.
How it works
Simple pre-treatment
blood test collected
at patient's home
or in-clinic
blood test collected
at patient's home
or in-clinic
High-throughput
proteomic assay
proteomic assay
Bioinformatics and
machine learning
machine learning
The PROphet® Report with
analysis of clinical benefit
and actionable insights is
sent to physician
analysis of clinical benefit
and actionable insights is
sent to physician
The blood sample is analyzed and processed at OncoHost’s
CLIA-registered* and COLA-accredited lab in Cary, North Carolina
CLIA-registered* and COLA-accredited lab in Cary, North Carolina
*CLIA number: 34D2250951
Clinical Validation
The PROphet® model was developed using patient blood samples and clinical data collected within the framework of an ongoing clinical study conducted by OncoHost (PROPHETIC; NCT04056247). In brief, pre-treatment blood samples were collected from 630 advanced stage non-small cell lung cancer (NSCLC) patients, out of which 545 were undergoing anti-PD-1/PD-L1 therapy with or without chemotherapy, and 85 were being treated with chemotherapy.
Patient clinical data were recorded, including demographics, clinical characteristics, and clinical benefit. Blood plasma was profiled by the SomaScan® Discovery Assay v4.1, and the resulting proteomic profiles were analyzed in conjunction with patient clinical data. Specifically, a proprietary prediction algorithm was developed to identify proteomic patterns associated with clinical benefit from anti-PD-1/PD-L1 treatment.
Patient clinical data were recorded, including demographics, clinical characteristics, and clinical benefit. Blood plasma was profiled by the SomaScan® Discovery Assay v4.1, and the resulting proteomic profiles were analyzed in conjunction with patient clinical data. Specifically, a proprietary prediction algorithm was developed to identify proteomic patterns associated with clinical benefit from anti-PD-1/PD-L1 treatment.