The mutation spectrum revealed by paired genome sequences from a lung cancer patient

Nature. 2010 May 27;465(7297):473-7. doi: 10.1038/nature09004.

Abstract

Lung cancer is the leading cause of cancer-related mortality worldwide, with non-small-cell lung carcinomas in smokers being the predominant form of the disease. Although previous studies have identified important common somatic mutations in lung cancers, they have primarily focused on a limited set of genes and have thus provided a constrained view of the mutational spectrum. Recent cancer sequencing efforts have used next-generation sequencing technologies to provide a genome-wide view of mutations in leukaemia, breast cancer and cancer cell lines. Here we present the complete sequences of a primary lung tumour (60x coverage) and adjacent normal tissue (46x). Comparing the two genomes, we identify a wide variety of somatic variations, including >50,000 high-confidence single nucleotide variants. We validated 530 somatic single nucleotide variants in this tumour, including one in the KRAS proto-oncogene and 391 others in coding regions, as well as 43 large-scale structural variations. These constitute a large set of new somatic mutations and yield an estimated 17.7 per megabase genome-wide somatic mutation rate. Notably, we observe a distinct pattern of selection against mutations within expressed genes compared to non-expressed genes and in promoter regions up to 5 kilobases upstream of all protein-coding genes. Furthermore, we observe a higher rate of amino acid-changing mutations in kinase genes. We present a comprehensive view of somatic alterations in a single lung tumour, and provide the first evidence, to our knowledge, of distinct selective pressures present within the tumour environment.

Publication types

  • Comparative Study

MeSH terms

  • Carcinoma, Non-Small-Cell Lung / genetics*
  • DNA Mutational Analysis
  • Genome, Human / genetics*
  • Humans
  • Lung Neoplasms / genetics*
  • Male
  • Middle Aged
  • Models, Biological
  • Point Mutation / genetics*
  • Selection, Genetic / genetics

Associated data

  • GEO/GSE20585