Omics Technologies Improving Breast Cancer Research and Diagnostics.

Area of Science:

• Oncology and Genomics
• Biomedical Research
• Cancer Biology

Background:

• Breast cancer (BC) is the most diagnosed cancer globally, causing significant mortality.
• BC's complexity arises from its tumor microenvironment and cellular heterogeneity, influencing treatment efficacy.
• The advent of high-throughput sequencing has ushered in an era of massive omics data in biomedical research.

Purpose of the Study:

• To review recent multi-omics research findings applied to breast cancer.
• To provide a comprehensive overview of omics techniques and their applications in BC.
• To explore the potential of omics in understanding BC phenotypes, biomarkers, therapies, diagnosis, and prognosis.

Main Methods:

• Review of multi-omics research in breast cancer.
• Introduction to various omics technologies: liquid biopsy, transcriptomics, epigenomics, proteomics, metabolomics, pharmaco-omics, and AI imaging.
• Analysis of applications across different BC phenotypes, biomarkers, targeted therapies, diagnosis, treatment, and prognosis.

Main Results:

• Multi-omics approaches are crucial for deciphering the intricate ecosystem of breast cancer.
• These technologies offer insights into BC formation, evolution, and heterogeneity.
• Applications span biomarker discovery, personalized treatment strategies, and improved diagnostic/prognostic capabilities.

Conclusions:

• Multi-omics data integration is transforming breast cancer research and clinical practice.
• These advanced techniques hold significant promise for improving patient outcomes and developing novel therapeutic strategies.
• Continued exploration of omics in BC research is essential for advancing precision medicine.