Subclonal heterogeneity and evolution in breast cancer.

Area of Science:

• Oncology
• Genomics
• Epigenetics

Background:

• Subclonal heterogeneity and evolution are key drivers of breast cancer development, progression, and treatment resistance.
• Epigenetic and transcriptomic alterations at the single-cell level are crucial in understanding these processes.

Purpose of the Study:

• To review recent advances in understanding epigenetic and transcriptomic changes in breast cancer at the single-cell level.
• To highlight the role of single-cell tracing and molecular barcoding in preclinical models for studying cancer evolution and therapy response.
• To discuss integrating single-cell profiling from patient samples with preclinical data to identify biomarkers and therapeutic vulnerabilities.

Main Methods:

• Review of current literature on epigenetic and transcriptomic alterations in breast cancer.
• Focus on single-cell analysis techniques, including single-cell tracing and molecular barcoding.
• Integration of data from preclinical models and patient samples.

Main Results:

• Single-cell level analysis reveals critical epigenetic and transcriptomic changes driving breast cancer.
• Preclinical models utilizing single-cell tracing and barcoding aid in assessing disease evolution and treatment response.
• Combined analysis of patient and preclinical data can identify biomarkers and therapeutic targets.

Conclusions:

• Understanding single-cell heterogeneity and evolution is vital for tackling breast cancer development and therapy resistance.
• Integrating diverse single-cell profiling approaches offers a path to uncovering novel therapeutic vulnerabilities.
• This knowledge has the potential to significantly improve breast cancer treatment strategies.