SBIR/STTR Research Award

Development of a Novel Aqueous Humor-Based Multiplex Assay for Uveal Melanoma Metastatic Risk Prediction

Award identifier 6539d45f2f91918e6d5f2c99a22650506614b09fde92e67dc6359a6da94d6b41Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$451,161

Program and phase

STTR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Olmeda BioSciences LLC
Proposal award date
2024-09-05
Contract end date
2025-08-31
UEI
X8JYKGL1HJ91
Solicitation number
PA25-212
Topic code
NCI

Research abstract

Project Summary Uveal melanoma (UM) is a prevalent intraocular cancer, with approximately 3,000 new cases annually and an estimated total of 60,000-70,000 affected individuals in the US. This malignancy poses a distressing reality as around 50% of patients develop metastatic diseases within 5 years, leading to devastating consequences for patients and healthcare providers. Current methods for predicting metastasis risk rely on invasive needle biopsies based on gene expression profiles (GEP), which are performed once and can cause discomfort and complications. The urgent need to address this challenge calls for the development of an effective and least invasive prognostic tool that can accurately predict metastatic risk, enhance safety, and guide treatment decisions worldwide, thereby offering better surveillance for patients with reduced costs and alleviating their concerns. To tackle this challenge, we've established a novel approach for predicting metastasis risk using proteomic analysis of aqueous humor (AH), the clear fluid of the front chamber from eyes. AH paracentesis, a safe procedure routinely performed in ophthalmology practice for decades, enabled the identification of differentially expressed proteins in AH samples. With this STTR Phase 1 application, we aim to develop a fit-for-purpose test based on our innovation, aiming to provide an easy-to-use pre-clinical test that utilizes safely accessible AH-based protein biomarkers, ultimately improving prediction accuracy and informing patient care.

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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