Cancer Risk Prediction Resources

Accurately assessing cancer risk in average- and high-risk individuals is an important component to controlling the suffering and death due to cancer. Cancer risk prediction models provide an important approach to assessing risk and susceptibility by:

• identifying individuals at high risk;
• facilitating the design and planning of clinical chemoprevention trials;
• enabling the development of benefit-risk indices;
• allowing the evaluation of interventions; and
• providing estimates of the population burden and cost of cancer.

This National Cancer Institute (NCI) Web site aims to provide resources to clinicians and researchers who are developing new and improving existing models for cancer risk, validating these models and evaluating their utility in research and clinic settings.

Related Links

• Risk prediction models
• NCI workshop on the development, evaluation and application of cancer risk prediction models
• Published articles related to the development, evaluation and applications issues of cancer risk models
• NCI Web site: Cancer Risk: Understanding the Puzzle
• NCI Web site: Risk Communication Bibliography
• The Cancer Intervention and Surveillance Modeling Network (CISNET)
• Other resources and risk prediction tools
• Funding opportunities
• Fact sheet (PDF)
• R01
• R21