SBIR/STTR Research Award

Clinical Translation of a Novel Diagnostic Agent to Predict Immunotherapy Response in Solid Tumors

Award identifier 90f726cb04ff3f42122ce0b330ad088c78994a851751c0c99c5fa47a1bec17fbAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,533,967

Program and phase

SBIR · Phase II

Award year

2019

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
CytoSite BioPharma Inc.
Proposal award date
2019-09-13
Contract end date
2021-08-31
UEI
QCFLR8RMJKD3
Solicitation number
PA17-302
Topic code
102

Research abstract

Over the past three years an entirely new cancer treatment paradigm has emerged following the FDA approval of 6 different checkpoint inhibitors for a number of indications including; metastatic melanoma and non-small cell lung cancer. These new agents work by effectively releasing the brakes on the immune system that normally limit the body’s natural responses to tumor cells and have generated long-term remission, and even some cures, However, the development, application and potential of these new treatments is hindered by relatively low response rates and the long-times required to ascertain objective responses. Immunotherapy is expensive and comes with serious potential side effects, so early selection of the most effective therapy for each patient is critical. Currently, there is no effective way to measure response, as traditional methods such as biopsy and anatomic imaging have not been predictive. To overcome these limitations, we have developed a molecular imaging agent for Positron Emission Tomography (PET) that is targeted to granzyme B, the enzyme released by activated immune cells to kill target tumor cells. By non-invasively measuring the tumor concentration of granzyme B, we have shown the specificity and potential of our PET imaging agent to predict early response to checkpoint inhibitors with in vivo non-clinical cancer models. We have extended our work ex vivo specificity analysis in human cancer tissue to demonstrate our target shows granzyme B levels are predictive of response in melanoma patient samples. Given the preliminary success of our agent to determine immunotherapy response and the lack of effective alternatives, we believe an accelerated translation to human testing is warranted. This SBIR proposal includes the preparation and completion of an exploratory-IND study to demonstrate safety in a small group of Melanoma patients and to determine safety, distribution and imaging potential in humans undergoing checkpoint inhibitor therapy. Although, this study cannot be empowered to determine efficacy, PET imaging data will be correlated with clinical follow up and melanoma biopsy data as a gold-standard for Immuno-Oncology responders vs non-responders.The greatest barrier to continued advances in Immuno-Oncology (I-O) therapy is the absence of a test to measure early tumor response to the new Checkpoint inhibitor drugs. Immune-mediated tumor killing involves cytotoxic lymphocytes (CTLs) and a complex process of immune cell activation. CTL activation results in release of cytotoxic granules containing granzyme B, a potent serine-protease enzyme that degrades several critical proteins to induce apoptosis or cell death. We propose to image extracellular Granzyme B concentrations in melanoma patients receiving checkpoint inhibitor therapy as an early indicator of tumor response.

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 (2018–2019). Reported award amounts total $1,798,033. 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.