Data and Resource Coordination Center for Cancer Prevention-Interception Targeted Agent Discovery Program

Project Summary/Abstract: This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-23-012. The goal of our proposed Data and Resource Coordinating Center (DRCC) application is to coordinate the activities across the Cancer Prevention-Interception Targeted Agent

Discovery Program (CAP-IT), and to manage, integrate and disseminate the data and resources generated through the network. Leveraging cutting-edge multi-disciplinary team approaches, we will support the CAP-IT to discover molecularly or immunologically targeted agents designed to prevent or intercept the oncogenic process

for precision cancer prevention and interception. Our strategy is to enhance the productivity of CAP-IT investigators by fostering a collaborative and synergistic research community, accelerate the progress of CAP- IT research by reducing barriers to accessing analytics expertise, ensure the reproducibility of CAP-IT data by

deploying best practices for data acquisition and harmonization, and unleash the full potential of CAP-IT activities by developing enhanced tools to enable resource sharing to the broader scientific community. First, we will provide a centralized administrative infrastructure to coordinate CAP-IT activities, building

upon our well-functioning infrastructure that currently coordinates network studies under the umbrella of the NCI Cancer Moonshot initiatives. Second, we will actively promote the CAP-IT and engage in trans-consortium interactions, where we will leverage our demonstrable experience in Cross-Moonshot outreach and

Bioconductor’s decades-long record in community engagement. Third, we will, in coordination with each CAP- IT center’s informatics group, provide multidisciplinary analytics expertise to support CAP-IT’s collaborative research, leveraging three of Roswell Park CCSG’s shared resources: Biostatistics, Bioinformatics, Biomedical

Informatics. Fourth, we will develop improved data integration and analysis software, database and workflows to enhance CAP-IT’s research capacity, capitalizing on our extensive track-record in developing NIH-supported Cancer Moonshot, Bioconductor and AnVIL ecosystems. Taken together, we envision that our DRCC, in close

collaboration with the CAP-IT U54 Centers and NCI staffs, will allow us to support highly effective and innovative translational studies to address the significantly unmet needs related to precision cancer prevention-interception. The main deliverables from the proposed aims will be administrative and outreach support to coordinate

network activities, facilitate network collaboration, and engage in interaction with the broader community (Aim 1); workflows to ensure that all data generated by the CAP-IT will be harmonized using standards interoperable with the broader cancer data ecosystem, analysis tools and database to integrate CAP-IT data and facilitate

cross-study analysis, and multidisciplinary analytics supports to accelerate CAP-IT research progress (Aim 2); polices and infrastructures to ensure that all resources generated by the CAP-IT will be findable in a centralized virtual information hub, and that all resources will be shared with the broader scientific community (Aim 3).