Cancer Risk Prediction and Assessment
- Bibliography of Risk Prediction Models
- Other Research Resources
- Funding Opportunities
- Public Resources
- Key Publications
- Workshops and Webinars
Accurately assessing cancer risk in average- and high-risk individuals and determining cancer prognosis in patients are crucial to controlling the suffering and death due to cancer. Cancer prediction models provide an important approach to assessing risk and prognosis by identifying individuals at high risk, facilitating the design and planning of clinical cancer trials, fostering the development of benefit-risk indices, and enabling estimates of the population burden and cost of cancer. Models also may aid in the evaluation of treatments and interventions.
Bibliography of Risk Prediction Models
The Epidemiology and Genomics Research Program (EGRP) has compiled the following list of cancer risk prediction models to serve as a research resource for investigators.
If you have information about a cancer risk prediction model you would like to be considered for inclusion on this list, submit as much information as possible through our cancer risk prediction model submission form.
Click on the links below to view compilations of peer-reviewed risk prediction models and online risk assessment tools and calculators, grouped by cancer site.
- Bladder cancer
- Breast cancer
- Cervical cancer
- Colorectal cancer
- Esophageal cancer
- Liver cancer
- Lung cancer
- Other cancers or multiple sites
- Ovarian cancer
- Pancreatic cancer
- Prostate cancer
- Testicular cancer
Note: NCI and EGRP are not responsible for the content of external websites. Read our disclaimer for more information.
Other Research Resources
The Cancer Intervention and Surveillance Modeling Network (CISNET)
CISNET is a consortium of NCI-sponsored investigators that use statistical modeling to improve our understanding of cancer control interventions in prevention, screening, and treatment and their effects on population trends in incidence and mortality.
There are not currently any NCI-sponsored Funding Opportunity Announcements related to cancer risk prediction and assessment.
EGRP joins with other NCI Divisions, Offices, and Centers and other Institutes and Centers at the National Institutes of Health (NIH) to fund grant applications submitted in response to FOAs. View the full list of EGRP FOAs.
EGRP also encourages investigator-initiated grant applications on cancer risk prediction and assessment topics.
- Understanding Cancer Risk (from the American Society of Clinical Oncology)
A website designed to educate the general public regarding cancer risk factors, absolute vs. relative risk, and appropriate questions to ask their health-care provider.
- Published articles related to the development, evaluation and applications issues of cancer risk models
- Risk Communication Bibliography
An introduction to the risk communication literature from 1999 through the spring of 2006.
Workshops and Webinars
- Using Risk Models for Breast Cancer Prevention (February 2013)
- Communication Science and Online Risk Assessment Tools (March 2012)
- Workshop on Development, Evaluation, and Application of Cancer Risk Prediction Models (May 2004)
For general questions about cancer risk prediction models and assessment, EGRP contacts include:
- Andrew N. Freedman, Ph.D., Chief, Clinical and Translational Epidemiology Branch