ONHS Report: HT942526RCRPRCDA

DoW Rare Cancers Resource and Community Development Award

Solicitation ID: HT942526RCRPRCDA

Agency: DHA

Type: Grant

Deadline: 2026-11-18T00:00:00 ET

Eligibility: Yes (Unrestricted)

Funding: Approximately $5.60M to fund 5 awards, with a total cost cap of $1.12M per award.

Doc Type: BAA

Clearance: No

Program Manager: help@eBRAP.org

Last Updated: 2026-08-19 14:44

Analyzed File: HT942526RCRPRCDA_GG.pdf

Eligibility Reasoning

Extramural and intramural U.S. Department of War (DOW) organizations are eligible to apply, including foreign and domestic organizations, for-profit and nonprofit organizations, and public or private entities.

Note: This is an AI-generated summary...

Summary

The Fiscal Year 2026 (FY26) Rare Cancers Research Program (RCRP) Resource and Community Development Award (RCDA) from the Defense Health Agency supports the creation of research resources and clinical/preclinical datasets to advance the study of rare cancers, defined as those affecting six or fewer persons per 100,000 annually in the U.S. The award targets gaps in research resources (e.g., patient tissues, models), data sharing infrastructure, and community communication. Proposals must address one of two focus areas: Platform Development (e.g., repositories, databanks, registries) or the use of Artificial Intelligence/Machine Learning (AI/ML) models for discovery and preclinical research. Key requirements include the integral partnership with at least two Patient Advocates, a strong community-building component, and detailed plans for dissemination and long-term sustainability of the developed resources. Clinical trials are not allowed. The maximum award is $1.12 million in total costs for a performance period of up to 4 years.

Overall Technical Areas

Rare Cancer ResearchClinical/Preclinical Dataset DevelopmentPatient Tissue and Tumor ModelsData Sharing InfrastructureMechanistic ResearchTherapeutic Development ResearchTumor Biospecimen RepositoriesPatient Registry DatabasesGenomics and TranscriptomicsProteomics and MetabolomicsBioinformatics AnalysisLongitudinal Disease StudiesArtificial Intelligence / Machine LearningPreclinical Animal Models

Probable LBNL Areas

N/A

Focus Areas

Example Priorities:

Develop platforms (such as tumor tissue repositories with clinical annotation, centralized databanks, patient registries with common data structure, research models, “Omics” databases and longitudinal studies of natural history and treatment response) for type(s) or subtype(s) of rare cancers to allow sharing of data, biospecimens and resources.
Building and sharing rare tumor biospecimen repository with clinical annotation.
Developing databases/banks for centralizing and sharing data for patient registries that are globally accessible.
Centralizing and sharing research models and molecular data related to genomics/ transcriptomics/immune profiling/proteomics/metabolomics/methylomics/bioinformatics.
Building a platform to enable or leverage longitudinal studies of disease natural history and treatment response.
Developing novel methods and systems for collection, sharing and analysis of data or biospecimens.

Specific Technical Skills:

BiobankingBiorepository ManagementDatabase DevelopmentClinical Data AnnotationPatient Registry DevelopmentGenomics/OmicsProteomicsBioinformaticsData Sharing InfrastructureLongitudinal Study Design

Potential PIs for this Area:

Name	Score	Organization

Example Priorities:

Establish use of AI and/or ML tools in discovery, preclinical studies, and clinical trial readiness

Specific Technical Skills:

Artificial IntelligenceMachine LearningComputational BiologyData SciencePredictive ModelingPreclinical Study DesignClinical Trial ReadinessBioinformaticsDrug DiscoveryGenomic Data Analysis

Potential PIs for this Area:

Name	Score	Organization

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

Name	Score	Organization
Georgios Pavlopoulos	0.77	BSA \| DOE Joint Genome Institute \| JGI Science Dept · Bioinformatics Analysis
Cees De Laat	0.77	CSA \| ESNET \| Tech Adv and Engagement · Data Sharing Infrastructure
Meghana Faltane	0.76	BSA \| DOE Joint Genome Institute \| JGI Technology Dept · Proteomics and Metabolomics
Talita Perciano Costa Leite	0.75	CSA \| SciData \| Data Science Research · Artificial Intelligence / Machine Learning
Sajeet Haridas	0.75	BSA \| DOE Joint Genome Institute \| JGI Science Dept · Genomics and Transcriptomics
Jennifer Rosenbluth	0.75	· Patient Tissue and Tumor Models
Adam Deutschbauer	0.74	BSA \| Env. Genomics & Sys. Biology \| Comparative and Funct Genomics · Mechanistic Research
Steven Hofmeyr	0.73	CSA \| AMCR \| Computer Science · Longitudinal Disease Studies
Chris Mungall	0.73	BSA \| Env. Genomics & Sys. Biology \| BioSystems Data Science · Clinical/Preclinical Dataset Development
Harry Caufield	0.73	BSA \| Env. Genomics & Sys. Biology \| BioSystems Data Science · Patient Registry Databases

Fundamental Research Exemption (FRE)

In accordance with National Security Presidential Memorandum-33 and all associated laws, all fundamental research funded by the DOW must be evaluated for affiliations with foreign entities.