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Science· 2016Q1

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

Itay Tirosh, Benjamin Izar, Sanjay M. Prakadan, Marc H. Wadsworth et al.

Short summary

Single-cell RNA sequencing of 4645 melanoma cells from 19 patients identified transcriptional heterogeneity in malignant cells, including distinct states associated with drug resistance (e.g., high MITF vs. low MITF/high AXL). The analysis also mapped tumor microenvironmental patterns and T cell exhaustion programs.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Single-cell RNA-seq profiled 4645 cells from 19 metastatic melanoma tumors.
  • Malignant cells showed transcriptional heterogeneity, including distinct states with varying MITF and AXL levels.
  • Tumor microenvironmental patterns and cell-to-cell interactions were analyzed.
  • Tumor-infiltrating T cells exhibited exhaustion programs linked to activation and clonal expansion.

AI-generated from the title and abstract; the full text is not read.

Abstract

To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.

The authors' abstract, as published at the source. Science, 2016 · DOI ↗

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Field: Oncology

OncologyMedicine