ASSESS: Early Breast Cancer Treatment Decision Support Tool

What is ASSESS?

The ASSESS tool provides information to patients and their health care providers about systemic treatment for Stage I-III breast cancer. ASSESS shows estimates of survival and how different systemic treatments might impact survival rates. This tool does not endorse any particular treatment. It is intended to provide information to help shared decision making between the patient and their health care provider about what treatment is best for them. Treatment is based on biomarkers such as hormone receptor status and HER2 status, tumor profiling results, whether you have an inherited gene mutation, the stage of your breast cancer and your overall health, age, menopausal status, and wishes and values.

Who should use ASSESS?

ASSESS is designed to be used by health care providers and their female patients to discuss systemic treatment for patients with breast cancer. This tool assumes that patients have already received surgery and/or radiation, if needed. Systemic therapy might be given before or after surgery, depending on what's best for each patient. If you are a patient, ask your health care provider whether this tool may be relevant for your treatment plan and how to interpret the results.

When should ASSESS be used?

ASSESS is designed to be used during or in preparation for clinical visits to discuss systemic treatment for women with breast cancer. While ASSESS is available publicly, a health care provider can provide additional and more personalized information to better help tailor your treatment.

What data was used to make ASSESS?

ASSESS uses statistical models that were developed and validated with data from the US Surveillance, Epidemiology, and End Results (SEER) database. The ASSESS model is currently undergoing peer review.

Who made ASSESS?

The ASSESS tool was created through a collaboration between Susan G. Komen, the MD Anderson Decision Support Lab, and investigators at The University of Texas MD Anderson Cancer Center and Yale School of Medicine. to learn more about the team.