SBIR/STTR Research Award

Early detection of HCC using noninvasive activity-based nanosensors

Award identifier ea80a47f1b017d2f9f8706f356f9c31c58b2bb137db2c99b3da98a6427ae31c5Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,983,597

Program and phase

SBIR · Phase II

Award year

2020

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
Glympse Bio, Inc.
Proposal award date
2020-08-20
Contract end date
2022-07-31
UEI
PWF2J3XGF5U1
Solicitation number
PA18-574
Topic code
102

Research abstract

Project Summary/Abstract Hepatocellular carcinoma (HCC) is the most common primary liver cancer and arises from chronic liver diseases (CLD) including hepatitis B virus (HBV), hepatitis C virus (HCV), alcoholic liver disease (ALD), and nonalcoholic steatohepatitis (NASH). Today, patients with CLDs are at high risk for HCC and are monitored closely by imaging and serum biomarkers, but these platforms lack sensitivity for early stage HCC. Consequently, although HCC can be cured by surgical resection, less than 10% of the greater than 500,000 newly diagnosed HCC patients per year worldwide undergo surgical resection because of late diagnosis. This proposal aims to develop the Glympse liver test (GLT), a multiplexed, injectable diagnostic of activity-based probes, which detect the activity of proteases that drive the pathological hallmarks of early stage HCC. These HCC-specific proteases are upregulated regardless of etiology and their activities drive fundamental tumor processes including angiogenesis, inflammation, and ECM degradation. The GLT platform is ultrasensitive to early stage HCC by relying on two mechanisms for signal amplification; detection signals are generated by protease activity which amplifies signals by enzyme turnover, and are concentrated by renal filtration into urine for quantification by mass spectrometry. We will identify etiology independent HCC proteases and formulate GLT nanosensors on inert polymer scaffolds for human use. We will then validate the ability of GLT to detect early stage HCC in mouse models covering major etiologies, benchmarking against imaging and serum biomarkers, and then conduct preclinical toxicology studies in preparation for an IND submission. The GLT offers clinician a rapid and sensitive diagnosis of early stage HCC compared to imaging and blood biomarkers. The ability of GLT to detect HCC at an early stage will significantly improve response rates (60–70% at Stage 1), saving 20,000 lives from 30,000 patient deaths every year. The benefit to the healthcare system will be greater than $400 million based on increasing the number of curative resection surgeries while significantly reducing the number of liver transplants. The impact of the GLT for HCC will increase early stage diagnosis rates, reduce healthcare costs associated with treating late-stage HCC, and ultimately improve patient outcomes due to increased treatment options for physicians.Project Narrative Hepatocellular carcinoma (HCC) arises from many different chronic liver diseases and if detected early, patients can be cured by surgery. However, current diagnostic platforms including imaging and blood biomarkers are not sensitive for early stage disease. This project aims to develop an ultrasensitive urine diagnostic to detect early stage HCC to significantly increase patient response and cure rates to therapy.

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

4 SBIR/STTR records share this UEI (2017–2020). Reported award amounts total $3,978,600. 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.