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VolitionRX (VNRX) investor relations material
VolitionRX Status Update summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.
Nu.Q technology overview and applications
Nu.Q assays quantitatively detect specific epigenetic modifications on circulating nucleosomes, enabling profiling across various matrices including plasma, tissue, and cell culture.
The platform currently offers 14 validated assays targeting different histone post-translational modifications (PTMs) and a mutation test, with high specificity and reproducibility.
Nu.Q assays require minimal sample volume, are available in automated and manual formats, and a point-of-care test is in development.
Assays can be used throughout drug development stages, from discovery to clinical trials, and are adaptable to different sample types.
Diagnostic and prognostic utility in cancer
H3K27Me3 levels measured by Nu.Q assays are significantly elevated in non-small cell lung cancer (NSCLC) compared to healthy controls, with strong diagnostic performance (AUC ~0.9, sensitivity 70% at 90% specificity).
Combining H3K27Me3 nucleosome status with ctDNA analysis increases detection sensitivity for circulating tumor material by 15.1% over ctDNA alone.
High H3K27Me3 levels are associated with higher tumor grade and worse prognosis in NSCLC and other cancers, with a hazard ratio of 3.56 for poor survival in patients with elevated levels.
Nu.Q assays can serve as non-invasive, epigenetically informed prognostic biomarkers in clinical settings.
Role in epigenetic drug development and monitoring
Nu.Q assays enable pharmacodynamic monitoring of PRC2/EZH2 inhibitor engagement by tracking dose- and frequency-dependent reductions in H3K27Me3 in plasma and tissues.
Assays distinguish tumor-derived H3K27Me3 from host sources, confirming tumor selectivity.
H3.1 Nu.Q assay detects total cell-free nucleosomes, providing a sensitive marker for systemic toxicity and cell death during drug development.
Nu.Q assays support early toxicity detection, patient pre-selection, and predictive biomarker validation for epidrug clinical trials.
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