TRIple Negative Breast Cancer Markers In Liquid Biopsies Using Artificial Intelligence
Triple Negative Breast Cancer Markers in Liquid Biopsies Using Artificial Intelligence (TRICIA Study)
Jewish General Hospital
130 participants
Dec 5, 2019
OBSERVATIONAL
Conditions
Summary
Triple negative breast cancer (TNBC) is the most aggressive of breast cancers and it is usually treated with chemotherapy even before surgery. In many cases, the chemotherapy completely "melts" the tumor and these patients do well. When the tumor is not eliminated by the chemotherapy, the patient receive more chemotherapy after surgery to decrease the chances of it coming back. Yet many of these patients don't need that extra chemotherapy and will do well in any case. One of the most exciting recent developments in cancer is the use of "liquid biopsies". It turns out that the tumor's DNA, RNA and proteins can be detected in small vesicles found in the patient's blood. Thanks to advances in Artificial Intelligence, there is now informatics tools to integrate many types of molecular information. Our industrial partner, MIMs, will apply novel informatics tools to generate a test using all the molecular information obtained from blood vesicles and tissue that will be able to find out early if tumor has spread outside of the breast, and how much tumor is left after surgery. The goal is hope to develop a multi-dimensional test for TNBC patients that can be used to decide how much treatment they need and if treatment given after surgery is working.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
Blood collection and access to residual tumor.
Locations(3)
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NCT04874064