This Cancer Research Department is offering a grant aimed at advancing cancer model systems to significantly enhance the predictivity of immuno-oncology studies. This grant is for researchers focusing on the rigorous recapitulation of the human immune system within cancer models. Proposed projects must utilize human cells or tissues to regenerate or replicate the human immune system in both in vivo and in vitro immuno-oncology models. The expectation is that these models will achieve human immune system representation comparable to or surpassing that of existing murine models. Importantly, projects involving genetically manipulated immune systems without the incorporation of human immune lineage cells will not be considered eligible. This funding opportunity utilizes the R33 Exploratory/Developmental Grants Phase II research activity code.
Opportunity ID: 338916
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | RFA-CA-22-022 |
| Funding Opportunity Title: | Early-Stage Development of Informatics Technologies for Cancer Research and Management (U01 Clinical Trial Optional) |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Cooperative Agreement |
| Category of Funding Activity: | Education Health |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 93.393 — Cancer Cause and Prevention Research |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Mar 24, 2022 |
| Last Updated Date: | Mar 24, 2022 |
| Original Closing Date for Applications: | Nov 17, 2022 |
| Current Closing Date for Applications: | Nov 17, 2022 |
| Archive Date: | Dec 23, 2022 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Native American tribal governments (Federally recognized) Public and State controlled institutions of higher education Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education State governments Public housing authorities/Indian housing authorities Small businesses County governments For profit organizations other than small businesses Others (see text field entitled “Additional Information on Eligibility” for clarification) Private institutions of higher education Independent school districts Native American tribal organizations (other than Federally recognized tribal governments) Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education City or township governments Special district governments |
| Additional Information on Eligibility: | 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. |
Additional Information
| Agency Name: | National Institutes of Health |
| Description: | The goal of this FOA is to advance cancer model systems that recapitulate human immunity in the tumor microenvironment to improve the predictivity of immuno-oncology studies. Proposed research projects must focus on recapitulation of the human immune system in their proposed cancer model using human cells or tissues to regenerate and/or recapitulate the human immune system in in vivo or in vitro immuno-oncology models in a manner that matches or exceeds representation of the human immune system achieved with murine models developed using HFT. Models derived from genetically manipulated immune systems without introduction of human immune lineage cells will not be considered responsive.The FOA will utilize the R33 Exploratory/Developmental Grants Phase II research activity code. |
| Link to Additional Information: | http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-22-022.html |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NIH OER Webmaster
OERWebmaster03@od.nih.gov Email:OERWebmaster03@od.nih.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NIH OER Webmaster OERWebmaster03@od.nih.gov Email: OERWebmaster03@od.nih.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| FORMS-G | Use for due dates on or after January 25, 2022 | PKG00272768 | May 14, 2022 | Nov 17, 2022 | View | |
| FORMS-H | Use for due dates on or after January 25, 2023 | PKG00277975 | Nov 04, 2022 | Nov 17, 2022 | View |
Package 1
Mandatory forms
338916 RR_SF424_5_0-5.0.pdf
338916 PHS398_CoverPageSupplement_5_0-5.0.pdf
338916 RR_OtherProjectInfo_1_4-1.4.pdf
338916 PerformanceSite_4_0-4.0.pdf
338916 RR_KeyPersonExpanded_4_0-4.0.pdf
338916 PHS398_ResearchPlan_4_0-4.0.pdf
338916 PHSHumanSubjectsAndClinicalTrialsInfo_3_0-3.0.pdf
Optional forms
338916 RR_Budget_3_0-3.0.pdf
338916 RR_SubawardBudget30_3_0-3.0.pdf
338916 PHS398_ModularBudget_1_2-1.2.pdf
338916 PHS_AssignmentRequestForm_3_0-3.0.pdf
Package 2
Mandatory forms
338916 RR_SF424_5_0-5.0.pdf
338916 PHS398_CoverPageSupplement_5_0-5.0.pdf
338916 RR_OtherProjectInfo_1_4-1.4.pdf
338916 PerformanceSite_4_0-4.0.pdf
338916 RR_KeyPersonExpanded_4_0-4.0.pdf
338916 PHS398_ResearchPlan_5_0-5.0.pdf
338916 PHSHumanSubjectsAndClinicalTrialsInfo_3_0-3.0.pdf
Optional forms
338916 RR_Budget_3_0-3.0.pdf
338916 RR_SubawardBudget30_3_0-3.0.pdf
338916 PHS398_ModularBudget_1_2-1.2.pdf
338916 PHS_AssignmentRequestForm_3_0-3.0.pdf
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