Giovanni Parmigiani, PhD
Professor in the Department of Data Science at Dana-Farber
Early cancer identification of individuals at high risk is critical for prevention and treatment. Genetic testing has revolutionized cancer risk assessment, but its cost and complexity have historically limited its accessibility. In the 1990s, researchers like Giovanni Parmigiani, PhD, professor of Biostatistics at Harvard TH Chan School of Public Health and Dana-Farber Cancer Institute, began developing statistical models to identify individuals at high risk of carrying genetic mutations, such as BRCA1 and BRCA2, which are associated with increased risks of breast, ovarian, and other cancers. These models were essential when genetic testing was prohibitively expensive and less comprehensive.
Today, genetic testing panels can screen for mutations in multiple genes; however, interpreting the results and integrating them with family history remains a significant challenge. Tools like Fam3PRO address this gap by providing clinicians and researchers with a robust, data-driven framework for predicting cancer risk and guiding personalized interventions.
Fam3PRO is the latest innovation in cancer risk prediction, building on decades of research and development in statistical modeling and genetic epidemiology. This next-generation tool is the successor to PanelPRO, a widely recognized multi-syndrome cancer risk prediction model developed by Parmigiani and senior statistical research scientist Danielle Braun, PhD in the BayesMendel Lab at Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health. Fam3PRO represents a significant evolution in both scope and functionality, offering clinicians and researchers a more comprehensive and user-friendly approach to understanding hereditary cancer risk.
PanelPRO was introduced as a groundbreaking tool for multi-syndrome cancer risk prediction, addressing the limitations of earlier single-syndrome models like the BayesMendelTM risk prediction models. While tools such as BayesMendelTM focused on specific hereditary cancer syndromes—like BRCA1/2 mutations linked to breast and ovarian cancer—PanelPRO expanded the scope to include multiple syndromes and genes. It integrated family history data with genetic testing results to predict the likelihood of carrying mutations in 24 genes and the risk of developing up to 18 types of cancer. This made PanelPRO one of the first tools capable of providing a holistic view of hereditary cancer risk across a wide range of conditions.
PanelPRO was implemented as an R statistical package, making it accessible to researchers and clinicians with expertise in data analysis. However, it lacked a user-friendly interface, requiring users to work directly with raw data files and statistical programming. While this approach was effective for research purposes, it limited the tool’s accessibility for broader clinical use, particularly for genetic counselors and healthcare providers who interact directly with patients.
Recognizing the need for a more versatile and accessible tool, the BayesMendel Lab embarked on the development of Fam3PRO. Officially renamed from PanelPRO in November 2024, Fam3PRO retains the robust statistical foundation of its predecessor while introducing key enhancements that address the evolving needs of clinicians, researchers, and patients.
Fam3PRO builds on PanelPRO’s multi-syndrome framework but incorporates several advancements:
Fam3PRO represents a shift from a purely research-focused tool to a versatile platform that bridges the gap between research and clinical practice. Its name reflects its emphasis on family-based risk prediction (“Fam”), its ability to analyze complex family trees (“Tree”), and its professional-grade capabilities (“Pro”). This evolution underscores the tool’s commitment to empowering healthcare providers and patients with actionable insights into hereditary cancer risk.
Fam3PRO also addresses the challenges of interpreting genetic testing results in the context of family history. For example, while BRCA1/2 mutations are well-known for their association with breast and ovarian cancer, they are also linked to pancreatic cancer, prostate cancer, and melanoma. Fam3PRO accounts for these broader associations, as well as the risks associated with other genes, providing a comprehensive risk profile for each individual.
Fam3PRO is more than just a tool—it is a platform for advancing personalized medicine. By combining cutting-edge statistical modeling with emerging AI technologies, Fam3PRO is poised to transform the way hereditary cancer risk is assessed and managed. Its evolution from PanelPRO reflects a commitment to innovation, accessibility, and patient-centered care, ensuring that the tool remains at the forefront of cancer risk prediction for years to come.
Further Information:
Team Members: Giovanni Parmigiani, PhD, Danielle Braun, PhD, Jane Liang, MD, Theodore Huang, PhD
Fam3PRO has a wide range of applications in both clinical and research settings:
Plans are in place to create clinician- and patient-facing interfaces to make Fam3PRO more accessible. Future versions may incorporate advanced AI techniques, such as natural language processing, to integrate findings from the latest scientific literature. The tool’s framework could be adapted for other hereditary conditions or integrated into broader precision medicine initiatives.
Fam3PRO is available for non-exclusive licensing, making it accessible to a wide range of organizations, including clinical genetic testing companies, research institutions, and healthcare providers.
Dana-Farber’s Innovations Office is actively seeking partners to collaborate on the further development and dissemination of Fam3PRO.
Professor in the Department of Data Science at Dana-Farber
Senior Research Scientist, Department of Biostatistics, Harvard T.H. Chan School of Public Health
Principal Biostatistician, Vertex Pharmaceuticals