Grant name: Understanding Expectancies in Cancer Symptom Management (R01 Clinical Trial Required)
Funding organization: National Institutes of Health (NIH), National Cancer Institute (NCI)
Total funding amount: Not specified, but application budgets must reflect actual needs.
Duration: Maximum project period of 5 years.
Primary objective: To understand expectancy effects in cancer symptom management and improve outcomes.
Key stakeholders: Patients, clinicians, family members, caregivers, and historically underrepresented populations.
Funding source: NIH.
Funding type: Grant.
Significance: Aims to reduce cancer risk and improve quality of life for cancer survivors.
Grant frequency: Recurring.
Higher Education Institutions
Public/State Controlled Institutions of Higher Education
Private Institutions of Higher Education
Nonprofits (with and without 501(c)(3) status)
For-Profit Organizations (including Small Businesses)
Local, State, County, City Governments
Indian/Native American Tribal Governments (both recognized and non-recognized)
Federal Government Agencies
Foreign Organizations and non-domestic components of U.S. Organizations.
Organizations must complete registrations with SAM, eRA Commons, and Grants.gov.
Principal Investigators must have an eRA Commons account.
Mechanistic research on expectancy effects in cancer symptom management.
Applications should focus on historically underrepresented populations.
Improvement in cancer symptom management and reduction of disparities.
Investigators should have expertise in cancer symptom management, biobehavioral processes, and health disparities.
Application budgets are not limited but must reflect actual project needs.
Open Date: January 05, 2025
Application Due Dates: February 05, 2025; June 05, 2025; October 05, 2025; February 05, 2026.
Expiration Date: May 08, 2026.
Must comply with NIH Grants Policy Statement and federal regulations.
Follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide.
Applications must be submitted electronically.
Focus on leveraging expectancy effects to improve cancer symptom management.