New Model of Breast Cancer’s Causes Developed by UCSF-led Team

Breast Cancer Scan


New Model of Breast Cancer’s Causes Developed by UCSF-led Team ‘Paradigm II’ Interactively Illustrates the Complex, Dynamic Relationships Between Causes

A new model of the causes of breast cancer, created by a team led by researchers at UC San Francisco, Genentech and Stanford University, is designed to capture the complex interrelationships between dozens of primary and secondary breast cancer causes and stimulate further research.

Breast cancer is the most common cancer in women, with an estimated 268,600 new cases and 41,760 deaths in the United States in 2019.

“Even though breast cancer can be treated successfully if caught early, we’re looking for the best ways to prevent it in the first place,” said lead author Robert A. Hiatt, MD, PhD, UCSF professor of epidemiology and biostatistics and associate director for population science at the UCSF Helen Diller Family Comprehensive Cancer Center.

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