Opportunity Information: Apply for RFA CA 22 013
The funding opportunity RFA-CA-22-013 is a National Institutes of Health (NIH), National Cancer Institute (NCI) cooperative agreement (U24) to stand up a single PDX Data Commons and Coordinating Center (PDCCC) that will serve as the central coordination, data management, and data analysis hub for the PDX Development and Trial Centers Research Network (PDXNet). PDXNet is an NCI program focused on organizing large-scale, collaborative development and preclinical testing of targeted cancer therapies using patient-derived models, with the broader aim of advancing precision medicine. A key point of this FOA is that it is not a clinical trial mechanism; the work is intended to support preclinical model development, study coordination, and translational prioritization rather than running clinical intervention studies under this award.
Structurally, the network is envisioned as up to five PDX Development and Trial Centers (PDTCs) funded under a companion FOA (RFA-CA-22-012) plus one PDCCC funded under this announcement. The PDTCs generate and test patient-derived xenograft (PDX) models and produce preclinical evidence on how cancers respond to single agents and drug combinations, while also creating new models that fill gaps in publicly available resources and improving methods and metrics for in vivo testing. The PDCCC is the glue that makes this a true network rather than a collection of separate projects: it is expected to coordinate activities across centers, support consistent data capture and harmonization, and provide integrated analytics so that results can be compared and combined across studies, sites, diseases, and therapeutic hypotheses.
A major programmatic motivation is to make PDXNet outputs directly useful for translational decision-making, especially for prioritizing therapeutic combinations involving agents in the NCI Investigational New Drugs (NCI-IND) portfolio. Those agents are evaluated clinically through the NCI Experimental Therapeutic Clinical Trials Network (ETCTN), so the PDCCC-supported data commons and cross-network analyses are meant to strengthen the evidence base that helps decide which combinations are most promising to advance toward clinical evaluation. In practice, that means the PDCCC is expected to support standardized ways of describing models, treatments, response endpoints, experimental designs, and quality metrics so that preclinical findings are interpretable and actionable beyond the originating lab.
The FOA also emphasizes close alignment with the NCI Patient-Derived Models Repository (PDMR) housed at the Frederick National Laboratory for Cancer Research (FNLCR). Both the PDTCs and the PDCCC are expected to collaborate with the PDMR on program goals such as developing and refining optimized standard operating procedures and facilitating sharing of PDX models. This collaboration is intended to reduce fragmentation in model generation and characterization, improve reproducibility, and ensure that models and associated datasets can be disseminated as a public resource in ways that other researchers can actually reuse.
From an administrative standpoint, this opportunity uses a cooperative agreement mechanism, meaning NIH/NCI will have substantial programmatic involvement compared with a typical research project grant. Applicants should generally expect active coordination with NIH program staff and structured network governance, deliverables, and timelines typical of a center-style award. The activity category is listed under education and health, and the CFDA listing is 93.396. The original closing date shown for the opportunity was 2022-11-01.
Eligibility is broad across the usual U.S.-based organization types, including state, county, and local governments; special districts; public and private institutions of higher education; independent school districts; federally recognized Native American tribal governments; tribal organizations that are not federally recognized; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding institutions of higher education where applicable); for-profit organizations (excluding small businesses in one category and including small businesses in another category as listed); and other entities. The FOA explicitly calls out additional eligible applicant groups such as HBCUs, Hispanic-serving institutions, Tribally Controlled Colleges and Universities, AANAPISIS institutions, Alaska Native and Native Hawaiian serving institutions, faith-based or community-based organizations, eligible federal agencies, regional organizations, and U.S. territories or possessions. At the same time, non-U.S. entities (foreign organizations and foreign institutions) are not eligible to apply, and non-domestic components of U.S. organizations are not eligible to apply. However, foreign components, as NIH defines them in the NIH Grants Policy Statement, are allowed, which typically means discrete elements of the project may be performed outside the U.S. under an otherwise eligible U.S. applicant when well-justified and compliant with NIH policy.
Overall, the PDCCC opportunity is aimed at building the informatics and coordination backbone for PDXNet so that preclinical PDX studies conducted across multiple PDTCs can be executed with shared standards, captured in a common data ecosystem, analyzed consistently, and translated into clear recommendations that help prioritize next-step therapeutic testing, including informing which NCI-IND agent combinations are most compelling for downstream clinical evaluation in ETCTN.Apply for RFA CA 22 013
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "PDX Data Commons and Coordinating Center (PDCCC) for the PDX Development and Trial Centers Research Network (PDXNet) (U24 Clinical Trial Not Allowed)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.396.
- This funding opportunity was created on 2022-03-25.
- Applicants must submit their applications by 2022-11-01. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Eligible applicants include: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State controlled institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities/Indian housing authorities, Native American tribal organizations (other than Federally recognized tribal governments), Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.
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Frequently Asked Questions (FAQ) - RFA-CA-22-013 (PDX Data Commons and Coordinating Center)
What is RFA-CA-22-013?
RFA-CA-22-013 is a National Institutes of Health (NIH), National Cancer Institute (NCI) funding opportunity to support a single PDX Data Commons and Coordinating Center (PDCCC) under a cooperative agreement mechanism (U24). The PDCCC is intended to serve as the central coordination, data management, and data analysis hub for the PDX Development and Trial Centers Research Network (PDXNet).
What is the overall goal of this funding opportunity?
The goal is to establish the informatics and coordination backbone for PDXNet so that preclinical patient-derived xenograft (PDX) studies performed across multiple centers can use shared standards, be captured in a common data ecosystem, be analyzed consistently, and be translated into clear evidence that supports translational prioritization of targeted therapies and combinations.
What does "PDCCC" stand for, and what is it expected to do?
PDCCC stands for PDX Data Commons and Coordinating Center. It is expected to function as the central hub for cross-network coordination, consistent data capture and harmonization, and integrated analytics so results can be compared and combined across studies, sites, diseases, and therapeutic hypotheses.
How does PDCCC relate to PDXNet?
PDXNet is an NCI program focused on large-scale, collaborative development and preclinical testing of targeted cancer therapies using patient-derived models, with the broader aim of advancing precision medicine. The PDCCC is intended to make PDXNet operate as a unified network rather than a set of separate projects by coordinating activities and enabling shared data and analysis.
Is this funding opportunity for a clinical trial?
No. A key point of this funding opportunity is that it is not a clinical trial mechanism. The work supported is intended to focus on preclinical model development, study coordination, and translational prioritization rather than running clinical intervention studies under this award.
What is the NIH funding mechanism used for this opportunity?
This opportunity uses a cooperative agreement mechanism (U24). Under a cooperative agreement, NIH/NCI has substantial programmatic involvement compared with a typical research project grant, and applicants should expect active coordination with NIH program staff and structured network governance, deliverables, and timelines typical of a center-style award.
How many awards are expected under this announcement?
This announcement is intended to fund a single PDCCC. The broader network is envisioned to include up to five PDX Development and Trial Centers (PDTCs) funded through a companion funding opportunity, plus one PDCCC funded under this announcement.
What are PDTCs, and how are they different from the PDCCC?
PDTCs (PDX Development and Trial Centers) generate and test PDX models and produce preclinical evidence on responses to single agents and drug combinations. They also create new models that fill gaps in publicly available resources and improve methods and metrics for in vivo testing. The PDCCC does not replace PDTC scientific work; it coordinates the network and provides shared data management, harmonization, and cross-network analytics so findings are interpretable and comparable across centers.
What is the companion FOA for the PDTCs?
The companion funding opportunity for the PDX Development and Trial Centers (PDTCs) is RFA-CA-22-012.
Why is a centralized data commons and coordinating center important for PDXNet?
PDXNet involves multiple centers generating models and preclinical results. The PDCCC is designed to support standardized descriptions of models, treatments, response endpoints, experimental designs, and quality metrics so that results can be compared and combined across different studies and sites, and so that the outputs are actionable beyond the originating lab.
What kinds of standardization does the FOA emphasize?
The FOA emphasizes standardized ways of describing PDX models, treatments, response endpoints, experimental designs, and quality metrics to ensure preclinical findings are interpretable, reproducible, and useful for translational decision-making across the network.
How is this effort connected to translational decision-making?
A major motivation is to make PDXNet outputs directly useful for translational prioritization, especially for therapeutic combinations involving agents in the NCI Investigational New Drugs (NCI-IND) portfolio. The PDCCC-supported data commons and analyses are meant to strengthen the evidence base used to determine which combinations are most promising to advance toward clinical evaluation.
What is the NCI-IND portfolio, as referenced in the opportunity?
The NCI-IND portfolio refers to agents in the NCI Investigational New Drugs portfolio. The opportunity highlights prioritizing therapeutic combinations involving these agents as a key translational use case for PDXNet outputs.
How does ETCTN relate to this program?
Agents in the NCI-IND portfolio are evaluated clinically through the NCI Experimental Therapeutic Clinical Trials Network (ETCTN). While this award is not for clinical trials, the PDCCC-enabled preclinical evidence and cross-network analyses are intended to help inform which therapeutic combinations should be prioritized for downstream clinical evaluation in ETCTN.
What is the relationship between PDCCC/PDXNet and the NCI Patient-Derived Models Repository (PDMR)?
The FOA emphasizes close alignment with the NCI Patient-Derived Models Repository (PDMR) housed at the Frederick National Laboratory for Cancer Research (FNLCR). Both PDTCs and the PDCCC are expected to collaborate with the PDMR on goals such as developing and refining optimized standard operating procedures and facilitating sharing of PDX models.
Where is the PDMR located?
The PDMR is housed at the Frederick National Laboratory for Cancer Research (FNLCR).
What is the purpose of collaborating with the PDMR?
The collaboration is intended to reduce fragmentation in model generation and characterization, improve reproducibility, and ensure that models and associated datasets can be disseminated as a public resource in ways that other researchers can reuse.
What does the PDCCC contribute to reproducibility and reuse?
By supporting consistent data capture, harmonization, and standardized definitions for key elements of preclinical studies (models, treatments, endpoints, designs, and quality metrics), the PDCCC helps make results comparable across sites and more reusable by the broader research community.
What is the activity category and CFDA listing for this opportunity?
The activity category is listed under education and health. The CFDA listing is 93.396.
What was the original closing date listed for the opportunity?
The original closing date shown for the opportunity was 2022-11-01.
Who is eligible to apply?
Eligibility is broad across U.S.-based organization types. Eligible applicants include state, county, and local governments; special districts; public and private institutions of higher education; independent school districts; federally recognized Native American tribal governments; tribal organizations that are not federally recognized; public housing authorities/Indian housing authorities; nonprofits with or without 501(c)(3) status (excluding institutions of higher education where applicable); for-profit organizations (with categories listed in the FOA, including one category excluding small businesses and another including small businesses); and other entities.
Are institutions serving underrepresented groups explicitly included as eligible applicants?
Yes. The FOA explicitly calls out additional eligible applicant groups such as HBCUs, Hispanic-serving institutions, Tribally Controlled Colleges and Universities, AANAPISIS institutions, Alaska Native and Native Hawaiian serving institutions, faith-based or community-based organizations, eligible federal agencies, regional organizations, and U.S. territories or possessions.
Are foreign organizations eligible to apply?
No. Non-U.S. entities (foreign organizations and foreign institutions) are not eligible to apply.
Are non-domestic components of U.S. organizations eligible to apply?
No. Non-domestic components of U.S. organizations are not eligible to apply.
Are foreign components allowed at all under this opportunity?
Yes. Foreign components, as NIH defines them in the NIH Grants Policy Statement, are allowed. This typically means discrete elements of the project may be performed outside the U.S. under an otherwise eligible U.S. applicant when well-justified and compliant with NIH policy.
What makes this opportunity different from a typical research project grant?
Because this is a cooperative agreement (U24), NIH/NCI will have substantial programmatic involvement. Applicants should expect active coordination with NIH program staff and structured network governance, along with deliverables and timelines that are typical of a center-style award.
What is meant by the PDCCC being the "glue" of the network?
The PDCCC is described as the "glue" because it is responsible for enabling coordination across centers, supporting consistent and harmonized data capture, and providing integrated analytics that allow studies and results to be compared and combined across the network.
What kinds of outputs is the PDCCC intended to enable?
The PDCCC is intended to enable a common data ecosystem and cross-network analyses that make PDXNet preclinical outputs interpretable and actionable for translational prioritization, including helping identify which NCI-IND agent combinations are most compelling for potential downstream clinical evaluation.
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