DR-399 Molecular signature scores related to intratumor heterogeneity and stemness to improve prognostic accuracy and facilitate the development of more personalized treatment strategies for breast cancer

We aim to characterize Immuno-evasive stem cells genetic signatures to better understand their behavior within breast cancer. These cells play a critical role in tumor growth and resistance to treatment. We will analyze RNA sequencing (RNA-seq) data, which provides a snapshot of gene activity in breast cancer cells. This data, together with deconvolution algorithms, will help us identify specific genetic patterns associated with immune-evasive stem cells. By pinpointing immunoevasive stem cells, we can develop more effective and precise treatments. Identifying genetic signatures associated with immune evasive stem cells can enhance our ability to predict disease outcomes.

Toni Celià-Terrassa, Hospital del Mar Research Institute, Spain