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Open·Synced from source July 16, 2026

Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R01 Clinical Trial Not Allowed)

National Institutes of Health

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Posted
Dec 17, 2025
Amount
$350,000
Closes
Nov 6, 2026 (in 113 days)
Last verified
Jul 16, 2026

Classification and identifiers

Solicitation number
PAR-25-095
Assistance listing (CFDA)
93.172

Amount

$350,000

Who can apply

Small businessCounty governmentsLocal governmentsTribal organizationsFor-profitsState governments

Small businesses, Local government agencies, and State government agencies can all apply here. Check the eligibility details below to see if your organization fits.

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.

About this opportunity

Through this Notice of Funding Opportunity (NOFO), the National Cancer Institute (NCI) along with other participating Institutes encourages submission of applications proposing to conduct secondary data analysis and integration of existing datasets and database resources, with the ultimate aim to elucidate cancer risk and related outcomes (e.g., risk prediction or reduction, survival, or response to treatment, etc.). The goal of this initiative is to address key scientific questions relevant to cancer by supporting the analysis of existing clinical, environmental, surveillance, health services, vital statistics, behavioral, lifestyle, genomic, and molecular profiles data. Applicants are encouraged to leverage and perform innovative analyses of the existing data. Applications may include ne...

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