Open PAR-25-254 CFDA 93.399 Discretionary

Understanding Expectancies in Cancer Symptom Management (R01 Clinical Trial Required)

Posted by National Institutes of Health

Opportunity snapshot. This Grants.gov announcement — Understanding Expectancies in Cancer Symptom Management (R01 Clinical Trial Required) — is cataloged under number PAR-25-254 and tied to CFDA assistance listing 93.399, posted by National Institutes of Health. Grants.gov currently shows the opportunity as open, first posted on November 21, 2024 and last updated on March 31, 2025. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is Varies by applicant. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. Applications close on May 7, 2026. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully — federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed — it helps clarify scope and scoring priorities.

Award Range

Varies by applicant

Close Date

May 7, 2026

Posted

November 21, 2024

Instrument

Grant

Description

This Notice of Funding Funding Opportunity (NOFO) supports research on expectancy-generating factors and measures of their effects on expectancies and subsequent cancer symptom management outcomes; and research to identify moderators of such expectancy effects. Specifically, this NOFO will solicit mechanistic research that aims to understand how and why expectancy effects occur in a cancer context, elucidate their role in cancer symptom management, and identify patients, symptoms, cancer sites, and contexts in which expectancy effects can be leveraged to improve cancer outcomes. Expectancies are defined in this context as beliefs about future outcomes, including ones response to cancer or cancer treatment. Expectancies can be evoked by social, psychological, environmental, and systemic factors. Expectancy effects are the cognitive, behavioral, and biological outcomes caused by expectancies. Expectancy effects can be generated by expectancies held by patients, clinicians, family members, caregivers, and/or dyadic/social networks.

Eligibility

00;01;02;04;05;06;07;08;11;12;13;20;22;23;25

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NIH Grants Information <br/>grantsinfo@nih.gov

Key Dates

Posted November 21, 2024
Close Date May 7, 2026
Archive Date June 12, 2026
Last Updated March 31, 2025

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Understanding Expectancies in Cancer Symptom Management (R01 Clinical Trial Required)", offered by National Institutes of Health. It is associated with CFDA program 93.399. This Notice of Funding Funding Opportunity (NOFO) supports research on expectancy-generating factors and measures of their effects on expectancies and subsequent cancer symptom management outcomes; an...
Is this opportunity still open?
Yes, this opportunity is currently open for applications. The closing date is May 7, 2026.
How much funding is available?
The award range for this opportunity is Varies by applicant.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.

Related

Data sourced from official U.S. government datasets. See our methodology for details. Retrieved and formatted by PlainGrants Editorial