Affiliations 

  • 1 Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Denmark
  • 2 Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
  • 3 Department of Growth and Reproduction, Copenhagen University Hospital (Rigshospitalet), Denmark
  • 4 Department of Pediatrics and Adolescent Medicine, University Hospital Rigshospitalet, Denmark
  • 5 Department of Otorhinolaryngology, Head and Neck Surgery and Audiology, Rigshospitalet, Copenhagen University Hospital
  • 6 Department of Dermato-Venerology, Faculty of Health Sciences, Copenhagen University Hospital, Bispebjerg Hospital, Denmark
  • 7 Department of Pathology, Herlev and Gentofte Hospital, University of Copenhagen, Denmark
  • 8 National Institute of Oncology, Department of Gynecology, Budapest, Hungary
  • 9 1st Department of Surgery, Semmelweis University, Budapest, Hungary
  • 10 Department of Clinical Medicine, Aalborg University, Denmark
  • 11 Department of Haematology, Aalborg University Hospital, Denmark
  • 12 Department of Pathology, Aarhus University Hospital, Denmark
  • 13 Department of Clinical Medicine, Department of Haematology, Aarhus University Hospital, Denmark
  • 14 Department of Surgery, Herlev and Gentofte Hospital, University of Copenhagen, Denmark
  • 15 Center for Clinical Research, North Denmark Regional Hospital and Department of Clinical Medicine, Aalborg University, Hjørring, Denmark
  • 16 Department of Autoimmunology and Biomarkers, Statens Serum Institut, Copenhagen S, Denmark
J Infect Dis, 2019 09 13;220(8):1312-1324.
PMID: 31253993 DOI: 10.1093/infdis/jiz318

Abstract

BACKGROUND: Viruses and other infectious agents cause more than 15% of human cancer cases. High-throughput sequencing-based studies of virus-cancer associations have mainly focused on cancer transcriptome data.

METHODS: In this study, we applied a diverse selection of presequencing enrichment methods targeting all major viral groups, to characterize the viruses present in 197 samples from 18 sample types of cancerous origin. Using high-throughput sequencing, we generated 710 datasets constituting 57 billion sequencing reads.

RESULTS: Detailed in silico investigation of the viral content, including exclusion of viral artefacts, from de novo assembled contigs and individual sequencing reads yielded a map of the viruses detected. Our data reveal a virome dominated by papillomaviruses, anelloviruses, herpesviruses, and parvoviruses. More than half of the included samples contained 1 or more viruses; however, no link between specific viruses and cancer types were found.

CONCLUSIONS: Our study sheds light on viral presence in cancers and provides highly relevant virome data for future reference.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.