Unravelling the landscape of skin cancer through single-cell transcriptomics

Ankit Srivastava1, Tomas Bencomo2, Ishani Das3

  • 1Stanford Program in Epithelial Biology, Stanford University, Stanford, CA 94305 United States of America; Department of Microbiology, Tumor and Cell Biology, Science for Life Laboratory, Karolinska Institute, Stockholm 17177, Sweden.

Translational Oncology
|October 18, 2022
PubMed

Insights

Single-cell transcriptomics offers a detailed view of skin cancer, revealing cell types and states to improve understanding and treatment strategies. This technology is crucial for analyzing immune cell contributions, especially with the rise of immunotherapy.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • The human skin is a vital organ defending against pathogens and injury.
  • Rising skin cancer incidence, metastasis, and therapeutic resistance present significant public health challenges.
  • Single-cell transcriptomics provides high-resolution gene expression data for understanding complex diseases like skin cancer.

Purpose of the Study:

  • To review recent advances in applying single-cell transcriptomics to skin cancer research.
  • To highlight the utility of single-cell transcriptomics in defining skin cancer cell types and states.
  • To summarize key findings regarding immune cell contributions in skin cancer.

Main Methods:

  • Review of recent skin cancer studies using bulk RNA sequencing.
  • Introduction to various single-cell transcriptomics methodologies.
  • Analysis of findings from single-cell transcriptomics applications in skin cancer.

Main Results:

  • Single-cell transcriptomics enables detailed characterization of cellular heterogeneity in skin cancers.
  • This approach is valuable for understanding disease evolution and identifying new therapeutic targets.
  • Key findings illuminate the role of immune cells, crucial for immunotherapy development.

Conclusions:

  • Single-cell transcriptomics is a powerful tool for advancing skin cancer research.
  • Understanding cellular heterogeneity and immune microenvironments is critical for improving treatment outcomes.
  • This technology holds promise for developing novel therapeutic strategies, particularly in the context of immunotherapy.