VolitionRx publishes Capture-Seq paper targeting $36B market
VolitionRx Limited published a peer-reviewed paper on its Capture-Seq technology, which isolates pure ctDNA for cancer detection. The study shows high sensitivity in early-stage cancers, supporting the company's strategy to license the tech for a $36 billion market.

*this image is generated using AI for illustrative purposes only.
VolitionRx Limited (NYSE: VNRX) published the first peer-reviewed paper describing its Capture-Seqâ„¢ liquid biopsy technology on Aug. 5, 2026. The publication in Clinical Epigenetics validates a method that isolates >99% pure circulating tumor-derived DNA (ctDNA) from plasma. This development positions the company to target a $36 billion total addressable market (TAM) by combining applications in Multi-Cancer Early Detection (MCED) and Minimal Residual Disease (MRD). Volition is currently in active discussions with global diagnostic leaders to accelerate commercialization through licensing agreements.
The study, titled "Direct analysis of transcription factor protected cfDNA in plasma by ChIP-seq," details a two-step process involving physical enrichment followed by bioinformatic removal of non-tumor cell-free DNA sequences. Dr. Jake Micallef, Chief Scientific Officer at Volition, stated that the technology reveals almost no CTCF-bound DNA in healthy plasma, whereas nearly all such DNA in cancer patients is tumor-derived. This approach allows for the creation of virtually pure cancer DNA datasets from blood samples.
Clinical Validation Results
Early blinded validation results reported in the paper demonstrate high sensitivity across independent cohorts. In the first cohort, the technology detected 49/49 cancers, including 23 early-stage (Stage I/II) cases, with no false positives among 21 controls. A second blinded cohort validated these findings, detecting 13/14 later-stage cancers with zero false positives among 10 additional controls. Subsequent data from a separate blinded validation cohort of 81 subjects showed a 95% detection rate for Stage I and II cancers.
| Cohort Type | Subjects | Cancers Detected | Controls | False Positives |
|---|---|---|---|---|
| First Independent Cohort | 70 | 49/49 (100%) | 21 | 0 |
| Second Blinded Cohort | 24 | 13/14 (92.8%) | 10 | 0 |
| Additional Validation | 81 | 95% (Stage I/II) | 22 | Not specified |
Market Opportunity and Commercialization
Gael Forterre, Chief Licensing Officer at Volition, highlighted the commercial potential of the technology, noting active technical evaluations with potential licensors. The company estimates an annualized TAM of approximately $23 billion for human MCED use and over $13 billion for MRD applications. Volition has filed multiple new patents to protect this technology, focusing on circulating cell-free nucleoproteins. Dr. Andrew Retter, Medical Consultant at Volition, emphasized that if validated in larger cohorts, CTCF Capture-Seqâ„¢ could fulfill a significant unmet clinical need in early detection and treatment monitoring.
What the Numbers Show
The divergence between traditional liquid biopsy limitations and Volition’s reported purity levels represents a structural shift in diagnostic capability. By achieving >99% purity of ctDNA, the technology mitigates the signal-to-noise ratio issues that typically require expensive deep sequencing to overcome. The 100% detection rate in the initial cohort of 49 patients suggests that the physical enrichment step effectively concentrates low-abundance tumor signals. However, the transition to larger validation sets shows a slight decrease in early-stage detection sensitivity (from 100% to 95%), indicating that performance metrics may stabilize as sample complexity increases.
How might the slight drop in sensitivity from 100% to 95% in larger cohorts impact regulatory approval timelines for FDA clearance?
Which global diagnostic leaders are most likely to secure licensing agreements with VolitionRx, and what strategic advantages would this confer?
Could the >99% ctDNA purity achieved by Capture-Seqâ„¢ significantly reduce the cost of sequencing compared to current deep-sequencing standards, thereby improving market accessibility?



























