SBIR/STTR Research Award

Monitoring Immunotherapy Response via Gene Silencing Landscapes in Cell-Free DNA

Award identifier e501fb17442dce269d870abaccf34d3c4f9672f7ca60a29a20a16c4b71955e30Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$398,040

Program and phase

SBIR · Phase I

Award year

2023

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
BINARY GENOMICS, INC
Proposal award date
2023-09-01
Contract end date
2024-02-29
UEI
FVZKKWHC58Q6
Solicitation number
PA22-176
Topic code
102

Research abstract

ABSTRACT: Immunotherapies produce remarkable, long-term responses in subsets of patients with non-small cell lung cancer, but unfortunately, most patients do not respond to such treatment. Current biomarkers to predict which patients will benefit have limited accuracy, and decisions to continue or suspend treatment are mainly guided by monitoring of radiographic changes in tumor size. However, unusual immune-related response patterns such as pseudo-progression, mixed response, and delayed response can make scans difficult to interpret. Circulating tumor DNA (ctDNA) has emerged as a highly promising biomarker for monitoring immunotherapy efficacy. Several studies involving various immunotherapy agents and multiple types of cancer have demonstrated that early reduction in ctDNA levels during treatment are predictive of tumor response and improved survival outcomes. However, existing technologies that measure ctDNA by probing for common somatic mutations will fail patients whose tumors lack these mutations. This limitation is being addressed by creating customized assays based on patient-specific tumor mutation profiles; but this approach is complex, expensive, and slow. We have developed a ctDNA assay technology based on detection of epigenetic features that are found in virtually all cancer cell genomes. Preliminary data indicate that our approach has broad patient coverage and can be applied to multiple types of cancer without requiring tumor profiling and assay customization. As proof of concept, we aim to establish the utility of our assay technology for monitoring of lung cancer immunotherapy response. In this Phase I SBIR application, we will evaluate the analytical and baseline clinical performance characteristics of the assay technology, with a plan for a larger follow-on clinical utility study in Phase II. The analytical validation and baseline clinical performance metrics will be benchmarked against existing commercial mutation-based ctDNA assays to justify further development and commercialization of our technology.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2023–2024). Reported award amounts total $2,398,039. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.