Clonal dynamics shaped by diverse drug-tolerant persister states in melanoma resistance

Haiyin Li1, Yeqing Chen1, Jessica Kaster1

  • 1The Wistar Institute, Philadelphia, PA, USA.

Insights

Drug-tolerant melanoma cells resist targeted therapy by entering a reversible state. A new platform, MeRLin, tracks these persister cells, revealing adaptive resistance mechanisms and potential vulnerabilities for future treatments.

Area of Science:

  • Oncology
  • Cancer Biology
  • Genomics

Background:

  • Advanced melanomas often relapse after initial response to targeted therapy.
  • Therapy resistance in melanoma is frequently driven by drug-tolerant persister cells, not new mutations.
  • These persister cells enter a reversible, drug-refractory state, complicating treatment outcomes.

Purpose of the Study:

  • To develop and utilize a high-resolution platform, MeRLin, for tracking melanoma clonal and transcriptional dynamics during therapy.
  • To investigate the mechanisms of adaptive resistance and identify key cellular states in persister melanoma populations.
  • To spatially map clonal evolution and gene expression within melanoma models under prolonged treatment.

Main Methods:

  • Development of MeRLin: a platform integrating cellular barcoding, single-cell transcriptomics, and RNA fluorescence in situ hybridization (FISH).
  • Application of MeRLin to patient-derived melanoma models undergoing prolonged targeted therapy.
  • Computational analysis of clonal dynamics, transcriptional states, and spatial organization of persister cells.

Main Results:

  • Persister subpopulations initially responded to treatment but persisted and expanded, leading to tumor recurrence.
  • Pre-treatment melanoma cells diversified into four conserved persister states linked to adaptive resistance (stress, lipid metabolism, PI3K signaling, ECM remodeling).
  • Spatial transcriptomics and barcoded RNA-FISH revealed in situ organization of adaptive programs and co-localization of resistant clones with SLC2A1 expression.

Conclusions:

  • MeRLin provides a powerful framework for dissecting cancer cell heterogeneity and adaptive resistance mechanisms.
  • Understanding persister cell dynamics and their associated transcriptional states is crucial for overcoming melanoma treatment failure.
  • Identification of specific persister states and signaling networks offers potential therapeutic vulnerabilities for targeting melanoma recurrence.

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