Modeling to guide public health research and priorities

CISNET is a consortium of NCI-sponsored investigators who 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. These models can be used to guide public health research and priorities, and they can aid in the development of optimal cancer control strategies.

CISNET's projects focus on the following cancer sites:

Breast Cancer

Models focus on critical early detection and clinical management issues, and are being used to evaluate mortality outcomes, harms and costs of rapidly evolving cancer control paradigms.

Cervical Cancer

Models focus on human papillomavirus (HPV) and the natural history of the disease, the impact of screening, the comparative effectiveness of HPV vaccination and screening strategies, and approaches to reduce cervical cancer disparities.

Colorectal Cancer

Models focus on the natural history of the disease and the impact of interventions, including targeted screening, on mortality.

Esophageal Cancer

Models focus on evaluating the potential of new screening technologies, prevention methods, genomic and others biomarkers, and clinical prediction tools.

Lung Cancer

Models focus on tobacco control policies, computed tomography (CT) screening, and investigation of the synergistic impacts of those strategies.

Prostate Cancer

Models focus on investigating risk-based screening and treatment strategies and approaches for reducing racial disparities.