Breast cancer is one of the most commonly diagnosed cancers among women worldwide. It is a complex and heterogeneous disease, with its progression and treatment response varying significantly depending on factors such as hormone receptor status, HER2 expression, and genetic background. Breast cancer is typically classified based on the expression of three major biomarkers: estrogen receptors (ER), progesterone receptors (PR), and HER2. Among these, tumors that do not express any of the three markers are classified as triple-negative breast cancer (TNBC). TNBC is known for its poor prognosis and lack of effective targeted therapies, making it one of the most difficult subtypes to treat and a critical target for novel drug development.
As a result, many pharmaceutical companies are currently focusing on the development of new therapies targeting TNBC. To accelerate the evaluation of these candidate drugs, it has become essential to establish patient-derived breast cancer organoid models, particularly those representing TNBC. In collaboration with Lambda Biologics, we have successfully established breast cancer organoids, including TNBC-specific models. We anticipate that this platform will play a vital role in advancing precision drug development and treatment response prediction for breast cancer in the near future.