MesKit: a tool kit for dissecting cancer evolution of multi-region tumor biopsies through somatic alterations

Gigascience. 2021 May 21;10(5):giab036. doi: 10.1093/gigascience/giab036.

Abstract

Background: Multi-region sequencing (MRS) has been widely used to analyze intra-tumor heterogeneity (ITH) and cancer evolution. However, comprehensive analysis of mutational data from MRS is still challenging, necessitating complicated integration of a plethora of computational and statistical approaches.

Findings: Here, we present MesKit, an R/Bioconductor package that can assist in characterizing genetic ITH and tracing the evolutionary history of tumors based on somatic alterations detected by MRS. MesKit provides a wide range of analysis and visualization modules, including ITH evaluation, metastatic route inference, and mutational signature identification. In addition, MesKit implements an auto-layout algorithm to generate phylogenetic trees based on somatic mutations. The application of MesKit for 2 reported MRS datasets of hepatocellular carcinoma and colorectal cancer identified known heterogeneous features and evolutionary patterns, together with potential driver events during cancer evolution.

Conclusions: In summary, MesKit is useful for interpreting ITH and tracing evolutionary trajectory based on MRS data. MesKit is implemented in R and available at https://bioconductor.org/packages/MesKit under the GPL v3 license.

Keywords: intra-tumor heterogeneity; metastatic routes; multi-region sequencing; phylogenetic tree; somatic alterations.

MeSH terms

  • Biopsy
  • Carcinoma, Hepatocellular*
  • Humans
  • Liver Neoplasms*
  • Mutation
  • Phylogeny