Novel Biomarkers in Breast Cancer: Leveraging Multi-Omics and AI for Discovery and Validation

Dear Colleagues,

Milestone biomarkers such as hormone receptors, HER2, and Ki-67 have long guided breast cancer treatment. However, as tumour biology and clinical behaviour become increasingly understood as dynamic and heterogeneous processes, there is a growing need for biomarkers that capture this complexity in real time.

This Special Issue focuses on emerging diagnostic and predictive biomarkers in breast cancer, with a particular emphasis on liquid biopsy technologies and AI-driven digital pathology. Cutting-edge multi-omics approaches—ranging from genomics and transcriptomics to deep-learning–based image analysis—are enabling the discovery and validation of novel molecular —and histological—signatures. Studies integrating circulating tumour DNA (ctDNA) and tumour tissue profiling are especially encouraged.

By highlighting translational and validation studies that bridge computational innovation with clinical applicability, this Special Issue aims to showcase how next-generation methodologies can complement traditional pathology and accelerate precision breast cancer management.

Dr. Konstantinos Venetis
Dr. Nicola Fusco
Guest Editors

Dr. Marianna D'Ercole
Guest Editor Assistant

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