Proteomics and its applications in breast cancer

Area of Science:

• Oncomedicine and Precision Diagnostics
• Multi-omics and Proteomics in Cancer Research

Background:

• Breast cancer is a complex, heterogeneous disease requiring advanced diagnostic and therapeutic strategies.
• Traditional single-omics approaches are complemented by emerging '-omics' fields and proteomics subfields.
• Understanding the multi-faceted nature of breast cancer necessitates a holistic view of cellular and molecular changes.

Purpose of the Study:

• To introduce the Breast Cancer Cell Continuum Concept (BCCC) as a spatio-temporal model for breast cancer progression.
• To present the Breast Cancer Proteomic Continuum Concept (BCPCC) as a framework for understanding proteomic changes throughout cancer development.
• To highlight the role of proteomics in discovering and validating diagnostic, prognostic, and predictive biomarkers for breast cancer.

Main Methods:

• Review of existing literature on various '-omics' approaches, particularly proteomics, in breast cancer research.
• Conceptual modeling of the BCCC and BCPCC to describe the continuum of cellular and proteomic alterations.
• Analysis of proteomics applications in identifying biomarkers, subtypes, therapeutic targets, and treatment efficacy.

Main Results:

• The BCCC models breast cancer as a cascade from primary tumor to distant metastasis, involving heterogeneous cell populations.
• The BCPCC links cellular phenotypes to adaptive proteomic profiles detected in biopsies, tracking changes from primary to metastatic sites.
• Proteomics provides crucial data for biomarker discovery, genetic aberration detection at the proteome level, pathway analysis, and subtype identification.

Conclusions:

• Proteomics is essential for advancing breast cancer diagnostics, prognostics, and personalized medicine.
• The BCCC and BCPCC offer integrated frameworks for understanding breast cancer's complexity and progression.
• Proteomics technologies are key to identifying novel therapeutic targets and assessing treatment effectiveness in breast cancer.