Genomic Heterogeneity and Branched Evolution of Early Stage Primary Acral Melanoma Shown by Multiregional Microdissection Sequencing

J Invest Dermatol. 2019 Jul;139(7):1526-1534. doi: 10.1016/j.jid.2019.01.019. Epub 2019 Jan 30.

Abstract

Acral melanoma (AM) is an extremely aggressive subtype of melanoma that is prevalent in eastern Asia. AM exhibits high intertumoral and intratumoral heterogeneities with poor prognosis. To associate the genomic heterogeneities with phenotypic traits and efficacy of treatments, a method is needed to recover genomic information from limited samples with high specificity and sensitivity from early stage AM specimens. We performed laser capture microdissection to isolate single micro-tumor nests, containing only dozens of cells, from stained tissue slices and then applied multiple annealing and looping-based amplification cycles, a highly efficient whole-genome amplification method originally developed for single cells, to amplify the whole genome of each tumor nest for sequencing. We were able to accurately profile the landscape of copy number alterations and single nucleotide variations of every single micro-tumor nest and to quantitatively characterize the heterogeneities at different levels, between tumor and nevi, among patients, among different phenotypes within a same tumor, and among adjacent tumor cell clusters with identical phenotypic appearance. We have found that genomic heterogeneity exists extensively and that branched evolution happens in the early stage of AM development. We are able to build the phylogenetic tree among these phenotypically addressable cell clusters.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / genetics*
  • DNA Copy Number Variations
  • Evolution, Molecular
  • Female
  • Genome, Human / genetics
  • Genomics / methods
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Laser Capture Microdissection
  • Male
  • Melanoma / genetics*
  • Mutation / genetics*
  • Phenotype
  • Phylogeny
  • Polymorphism, Single Nucleotide
  • Sensitivity and Specificity
  • Single-Cell Analysis
  • Skin Neoplasms / genetics*

Substances

  • Biomarkers, Tumor