TelomereHunter - In silico estimation of telomere content and composition from cancer genomes

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Lars Feuerbach - , German Cancer Research Center (DKFZ) (Author)
  • Lina Sieverling - , German Cancer Research Center (DKFZ), Heidelberg University  (Author)
  • Katharina I. Deeg - , Heidelberg University  (Author)
  • Philip Ginsbach - , German Cancer Research Center (DKFZ) (Author)
  • Barbara Hutter - , German Cancer Research Center (DKFZ) (Author)
  • Ivo Buchhalter - , German Cancer Research Center (DKFZ) (Author)
  • Paul A. Northcott - , German Cancer Research Center (DKFZ) (Author)
  • Sadaf S. Mughal - , German Cancer Research Center (DKFZ), Heidelberg University  (Author)
  • Priya Chudasama - , German Cancer Research Center (DKFZ) (Author)
  • Hanno Glimm - , National Center for Tumor Diseases Dresden, University Hospital Carl Gustav Carus Dresden, German Cancer Consortium (DKTK) Core Center Heidelberg (Author)
  • Claudia Scholl - , German Cancer Research Center (DKFZ) (Author)
  • Peter Lichter - , German Cancer Research Center (DKFZ) (Author)
  • Stefan Fröhling - , German Cancer Research Center (DKFZ) (Author)
  • Stefan M. Pfister - , German Cancer Research Center (DKFZ), Hopp Children's Cancer Center Heidelberg (KiTZ), Heidelberg University  (Author)
  • David T.W. Jones - , German Cancer Research Center (DKFZ), Hopp Children's Cancer Center Heidelberg (KiTZ) (Author)
  • Karsten Rippe - , Heidelberg University  (Author)
  • Benedikt Brors - , German Cancer Research Center (DKFZ) (Author)

Abstract

Background: Establishment of telomere maintenance mechanisms is a universal step in tumor development to achieve replicative immortality. These processes leave molecular footprints in cancer genomes in the form of altered telomere content and aberrations in telomere composition. To retrieve these telomere characteristics from high-throughput sequencing data the available computational approaches need to be extended and optimized to fully exploit the information provided by large scale cancer genome data sets. Results: We here present TelomereHunter, a software for the detailed characterization of telomere maintenance mechanism footprints in the genome. The tool is implemented for the analysis of large cancer genome cohorts and provides a variety of diagnostic diagrams as well as machine-readable output for subsequent analysis. A novel key feature is the extraction of singleton telomere variant repeats, which improves the identification and subclassification of the alternative lengthening of telomeres phenotype. We find that whole genome sequencing-derived telomere content estimates strongly correlate with telomere qPCR measurements (r = 0.94). For the first time, we determine the correlation of in silico telomere content quantification from whole genome sequencing and whole genome bisulfite sequencing data derived from the same tumor sample (r = 0.78). An analogous comparison of whole exome sequencing data and whole genome sequencing data measured slightly lower correlation (r = 0.79). However, this is considerably improved by normalization with matched controls (r = 0.91). Conclusions: TelomereHunter provides new functionality for the analysis of the footprints of telomere maintenance mechanisms in cancer genomes. Besides whole genome sequencing, whole exome sequencing and whole genome bisulfite sequencing are suited for in silico telomere content quantification, especially if matched control samples are available. The software runs under a GPL license and is available at https://www.dkfz.de/en/applied-bioinformatics/telomerehunter/telomerehunter.html.

Details

Original languageEnglish
Article number272
JournalBMC bioinformatics
Volume20
Issue number1
Publication statusPublished - 28 May 2019
Peer-reviewedYes

External IDs

PubMed 31138115