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U.S. National Institutes of Health·United States of America

Pancreatic Cancer Detection Consortium: Research Units (U01 Clinical Trial Optional)

Closes 11/5/2029$200k – $600kGrants Notice
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Description

The National Cancer Institute (NCI) is seeking up to ten multidisciplinary Research Units (U01 cooperative agreements) to advance early detection of pancreatic ductal adenocarcinoma (PDAC) and its precursors. Awardees will develop and validate molecular and imaging biomarkers, create biorepositories of longitudinal biospecimens, and employ machine‑learning approaches to identify high‑risk populations. Units must collaborate across the consortium, share data and specimens, and contribute to steering‑committee activities. Funding is up to $600,000 per award, with no cost‑sharing required. • Focus on PDAC early‑detection biomarkers (fluid‑based, imaging, genetic risk). • Required collection of longitudinal biospecimens for a shared biorepository. • Integration of computational/machine‑learning methods for biomarker discovery. • Collaborative participation in consortium meetings, data sharing, and steering‑committee work. • Cooperative agreement (U01) with up to $600K ceiling per award; total of 10 awards anticipated.

Attached files

Contact

DCP CBB(Scientific/Research Contact)

[email protected]

(301) 402-2541

Key dates

Opened
2/11/2026
Closes
11/5/2029
Projected award
12/1/2026
Duration
4 years

Last updated

Details

Type
Grants Notice
Industry
Healthcare and Medical Services
NAICS
541714
Solicitation №
PAR-28-056

Budget estimate

$200,000 – $600,000

The NOFO lists an award ceiling of $600,000 per Research Unit and anticipates up to ten awards, suggesting a total potential funding pool of $6 million. Individual award amounts are likely to vary based on the scope of the proposed research, but most successful applicants can expect funding in the range of a few hundred thousand dollars. Therefore, a reasonable estimate for a single award is $200,000 – $600,000, reflecting the minimum needed to support a multidisciplinary team and the maximum ceiling.

AI estimate from the solicitation

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