NCI Funded Research Portfolio
The NCI Funded Research Portfolio (NFRP) is an online database of information about research grants, contract awards, and intramural research projects funded by the NCI. Research projects and funding data in the NFRP database are reported annually by NCI divisions, offices, and centers (DOCs), and all project information is conveniently searchable on the NFRP website.
NIH Research, Condition, and Disease Categorization
The NIH Research, Condition, and Disease Categorization (RCDC) process uses a computerized text-mining process to sort NIH-funded grants and contracts into categories of research area, disease, or condition. The automated categorization process extracts scientific information from the title, abstract, and specific aims of grant applications of awarded projects to match them to over 300 reporting categories.
Emerging Science & Technology
Single Investigator-Initiated Research
Innovative Molecular Analysis Technologies
The Innovative Molecular Analysis Technologies (IMAT) program supports the development of potentially transformative technologies in cancer research using phased grant support. IMAT is involved throughout the technology development timeline, from proof-of-concept demonstration to rigorous analytical validation. The goal of the program is to equip basic and clinical research communities with novel analytical capabilities through the development of next‐generation, cutting‐edge technologies.
The Provocative Questions (PQ) initiative stimulates research in understudied areas across the cancer research continuum. Using NCI-sponsored workshops, challenging areas of cancer research are identified by extramural investigators and evaluated by NCI leadership. These areas are the basis for the funding opportunities available through Provocative Questions. Twelve PQs are currently available for proposals from the research community.
Clinical Proteomic Tumor Analysis Consortium
The Clinical Proteomic Tumor Analysis Consortium (CPTAC) is a national effort that applies proteogenomic strategies to advance precision oncology. The CPTAC network was created to improve upon problems in the field of clinical proteomics, including a lack of standardized methodologies, comparable data, and quality reagents. CPTAC holds its members to a high level of analytical rigor while providing community resources liek the CPTAC data, assay, and antibody portals.
Applied Proteogenomic OranizationaL Learning and Outcomes
The Applied Proteogenomic OranizationaL Learning and Outcomes (APOLLO) network is a collaboration between NCI, the Department of Defense (DoD) and the Department of Veterans Affairs (VA) to incorporate CPTAC-based proteogenomics workflows into patient care. Partnering with the nation's two largest healthcare systems, DoD and VA, allows NCI to continuously study cancer patients throughout their treatment and into remission. De-identified proteogenomic data collected in the study are made publicly available across NCI data sharing platforms.
International Cancer Proteogenome Consortium
The International Cancer Proteogenome Consortium (ICPC) uses CPTAC-based workflows that apply proteogenomics to understand cancer biology and predict treatment response. The global network allows for sampling among diverse patients and commonly diagnosed cancers in their unique populations. The Consortium provides a forum for collaboration among the world's leading cancer research centers and unifies methodologies on a global scale. The ICPC supports public data sharing around the world to accelerate the translation of results to patient care.
Analytical Technologies to Objectively Measure Human Performance
The Analytical Technologies to Objectively Measure Human Performance (ATOM-HP) program was launched in partnership with the Department of Defense (DoD) to gain insights about human fatigue. Cancer patients and active duty miliary personnel suffer from fatigue that impairs their ability to survive and perform. ATOM-HP develops wearable technologies technologies to monitor fatigue in these populations and develop standardized measures that might improve patient care and military performance.
Projects at Frederick National Labs for Cancer Research
Exploratory research projects conducted at the Frederick National Labs for Cancer Research address research gaps related to data science, new technologies, standards, and preanalytical variables. These projects help accelerate progress in cancer-relevant scientific fields while allowing NCI to pilot new programs before incorporating them into the Institute.
Training & Workforce Development
Big Data Scientist Training Enhancement Program
The NCI/Veterans Health Administration’s Big Data Scientist Training Enhancement Program (BD-STEP) is a one-year post-doctoral fellowship that develops the next generation of data scientists using the VA’s rich healthcare data resources. Fellows from diverse scientific backgrounds are matched to VA medical centers across the country, where they work with clinicians and use data science to address important questions in cancer research and care.