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Updated: Jan 16, 2026

A Melanoma Patient-Derived Xenograft Model
Published on: May 20, 2019
Clonal dynamics shaped by diverse drug-tolerant persister states in melanoma resistance
Haiyin Li1, Yeqing Chen1, Jessica Kaster1
1The Wistar Institute, Philadelphia, PA, USA.
Abstract:
Most advanced melanomas initially respond to targeted therapy but eventually relapse. Rather than acquiring new mutations, resistance is driven by drug-tolerant persister cells that enter a reversible drug-refractory state. We developed MeRLin, a high-resolution lineage tracing platform integrating cellular barcoding, single-cell transcriptomics, RNA fluorescence in situ hybridization (FISH), and computational analyses to track clonal and transcriptional dynamics in patient-derived melanoma models during prolonged therapy. Clonal dynamics revealed that persister subpopulations first responded to treatment but persisted and expanded during minimal residual disease, ultimately leading to tumor recurrence. Pre-treatment melanoma populations diversified into four conserved persister states characterized by stress-like, lipid metabolism, PI3K signaling, and extracellular matrix remodeling programs associated with adaptive resistance. Spatial transcriptomics showed the organization of these adaptive programs and a complex signaling network of autocrine and paracrine interactions among persister subpopulations. Barcoded RNA-FISH enabled spatial mapping of clonal identity and gene expression, revealing in situ co-localization of a dominant resistant clone with SLC2A1 expression. MeRLin provides a robust framework for dissecting cancer heterogeneity and identifying vulnerabilities in persister populations.
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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