Pre-existing cell states predict resistance to multiple treatments

Area of Science:

• Cancer Biology
• Genomics
• Cellular Dynamics

Background:

• Individual cancer cell heterogeneity influences treatment outcomes.
• Previous studies focused on single-treatment resistance using DNA barcoding.
• Understanding multi-treatment resistance is crucial for effective cancer therapy.

Purpose of the Study:

• To identify cell states associated with multi-treatment resistance.
• To trace rare clones through resistance development across multiple treatments.
• To find predictors of future multi-treatment resistance.

Main Methods:

• Multi-treatment, high-throughput clonal tracking.
• Single-cell RNA sequencing.
• Analysis of gene expression states in treatment-naive and resistant cells.

Main Results:

• Clones resistant to one treatment showed increased propensity for developing resistance to other treatments.
• High CD44 expression in treatment-naive cells predicted subsequent multi-treatment resistance.
• Pre-treatment gene expression differences led to divergent resistance pathways within the same treatment.

Conclusions:

• Pre-existing cellular states, like high CD44 expression, predict multi-treatment resistance.
• Divergent cellular pathways contribute to resistance development.
• This study provides a framework for targeting gene expression states to overcome multi-treatment resistance.