Multimodal Diagnostic Models and Subtype Analysis for Neoadjuvant Therapy in Breast Cancer

Zheng Ye Jiaqi Yuan Deqing Hong Peng Xu ^* Wenbin Liu ^*

• Guangzhou University, Guangzhou, China

Breast cancer is a heterogeneous and complex disease with multiple subtypes.Neoadjuvant therapy, administered prior to surgery, aims to shrink tumor size, improve surgical outcomes, and assess tumor response to treatment. Current research on the efficacy of neoadjuvant therapy and its impact on breast cancer subtypes is crucial for precision medicine and personalized treatment. This project leverages multimodal breast cancer data, integrating transcriptomics, proteomics, MRI imaging, and clinical information to develop a diagnostic model for neoadjuvant therapy in breast cancer. Based on these multimodal data, we identified four distinct multimodal breast cancer subtypes with significant prognostic differences. We compared the molecular pathological characteristics of these subtypes at multiple levels and explored the tumor microenvironment, cell-cell communication, and tumor progression differences at the single-cell level. Additionally, we investigated the molecular mechanisms underlying the differential drug response of malignant cells within four multimodal breast cancer subtypes. This study introduces new approaches for multimodal diagnosis of neoadjuvant therapy efficacy in breast cancer, providing valuable evidence and support for future precision and personalized treatments.