R21

Secondary Analysis and Integration of Existing Data to Elucidate Cancer Risk and Related Outcomes (R21 Clinical Trials Not Allowed)

National Institutes of Health

Award amount
up to $200,000
Deadline
November 17, 2026
Region
US

About this grant

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 new research aims that are being addressed with existing data, new or advanced methods of analyses, or novel combinations and integration of datasets that allow the exploration of important scientific questions in cancer research.

Eligibility details

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 Pos

Research areas

cancergenomics

Related funding

Verified best-effort. Amounts, deadlines, and eligibility change — always confirm on the funder's own page before applying.