Published April 2, 2021 | Version v1
Dataset Open

Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma

  • 1. Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, United States of America
  • 2. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States of America
  • 3. Department of Pathology, City of Hope National Medical Center, Duarte, California, United States of America
  • 4. Cancer Genomics Research Laboratory, National Cancer Institute, Rockville, Maryland, United States of America
  • 5. Laboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States of America
  • 6. Department of Epidemiology, The University of Iowa College of Public Health, Iowa City, Iowa, United States of America
  • 7. Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, United States of America
  • 8. Stroger Hospital of Cook County, Ruth M. Rothstein Core Center, and Rush University Medical Center, Chicago, Illinois, United States of America
  • 9. University of Hawaii Cancer Center, Honolulu, Hawaii, United States of America
  • 10. Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America

Description

Anaplastic large cell lymphoma (ALCL) is a rare CD30-expressing T-cell non-Hodgkin lymphoma (NHL). Risk of systemic ALCL is highly increased among immunosuppressed individuals. Because risk of cancers associated with viruses is increased with immunosuppression, we conducted a metagenomic analysis of microbial associations with systemic ALCL to determine whether a known or novel pathogen is associated with the tumor. Total RNA from specimens of 29 systemic ALCLs (28 cases from the general population, 1 case from an HIV-infected individual), 3 Epstein-Barr virus (EBV)-positive diffuse large B-cell lymphomas occurring in transplant recipients (positive controls), and 5 breast cancers (negative controls) was extracted and sequenced. We utilized a stepwise bioinformatic approach to comprehensively characterize RNA sequencing reads and identify sequences related to viruses and other microorganisms. Although we detected EBV in the positive controls, we did not find evidence of a biologically-relevant microorganism associated specifically with ALCL samples or the negative control specimens. Therefore, our results do not support a viral etiology for ALCL. Additional studies of ALCL cases arising among immunosuppressed people individuals are warranted.

 

This repository contains PathSeq and virID output files and an R notebook sufficient to reproduce figures in the manuscript "Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma"

Files

Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma.zip