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

Abstract Systemic anaplastic large cell lymphoma (ALCL) is a rare CD30-expressing T-cell non-Hodgkin lymphoma. 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...

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Autores principales: Parag Mahale, Jason Nomburg, Joo Y. Song, Mia Steinberg, Gabriel Starrett, Joseph Boland, Charles F. Lynch, Amy Chadburn, Paul G. Rubinstein, Brenda Y. Hernandez, Dennis D. Weisenburger, Susan Bullman, Eric A. Engels
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Publicado: BMC 2021
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spelling oai:doaj.org-article:0f4a3246766a4a9c8765154cfb5fa79b2021-11-21T12:09:20ZMetagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma10.1186/s13027-021-00404-01750-9378https://doaj.org/article/0f4a3246766a4a9c8765154cfb5fa79b2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13027-021-00404-0https://doaj.org/toc/1750-9378Abstract Systemic anaplastic large cell lymphoma (ALCL) is a rare CD30-expressing T-cell non-Hodgkin lymphoma. 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 systemic ALCL to determine whether a known or novel pathogen is associated with this malignancy. Total RNA was extracted and sequenced from formalin-fixed paraffin-embedded tumor specimens from 19 systemic ALCL cases (including one case from an immunosuppressed individual with human immunodeficiency virus infection), 3 Epstein-Barr virus positive diffuse large B-cell lymphomas (DLBCLs) occurring in solid organ transplant recipients (positive controls), and 3 breast cancers (negative controls). We used a pipeline based on the Genome Analysis Toolkit (GATK)-PathSeq algorithm to subtract out human RNA reads and map the remaining RNA reads to microbes. No microbial association with ALCL was identified, but we found Epstein-Barr virus in the DLBCL positive controls and determined the breast cancers to be negative. In conclusion, we did not find a pathogen associated with systemic ALCL, but because we analyzed only one ALCL tumor from an immunosuppressed person, we cannot exclude the possibility that a pathogen is associated with some cases that arise in the setting of immunosuppression.Parag MahaleJason NomburgJoo Y. SongMia SteinbergGabriel StarrettJoseph BolandCharles F. LynchAmy ChadburnPaul G. RubinsteinBrenda Y. HernandezDennis D. WeisenburgerSusan BullmanEric A. EngelsBMCarticleLymphomaVirusesMetagenomicsImmunosuppressionNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282Infectious and parasitic diseasesRC109-216ENInfectious Agents and Cancer, Vol 16, Iss 1, Pp 1-6 (2021)
institution DOAJ
collection DOAJ
language EN
topic Lymphoma
Viruses
Metagenomics
Immunosuppression
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Infectious and parasitic diseases
RC109-216
spellingShingle Lymphoma
Viruses
Metagenomics
Immunosuppression
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Infectious and parasitic diseases
RC109-216
Parag Mahale
Jason Nomburg
Joo Y. Song
Mia Steinberg
Gabriel Starrett
Joseph Boland
Charles F. Lynch
Amy Chadburn
Paul G. Rubinstein
Brenda Y. Hernandez
Dennis D. Weisenburger
Susan Bullman
Eric A. Engels
Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
description Abstract Systemic anaplastic large cell lymphoma (ALCL) is a rare CD30-expressing T-cell non-Hodgkin lymphoma. 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 systemic ALCL to determine whether a known or novel pathogen is associated with this malignancy. Total RNA was extracted and sequenced from formalin-fixed paraffin-embedded tumor specimens from 19 systemic ALCL cases (including one case from an immunosuppressed individual with human immunodeficiency virus infection), 3 Epstein-Barr virus positive diffuse large B-cell lymphomas (DLBCLs) occurring in solid organ transplant recipients (positive controls), and 3 breast cancers (negative controls). We used a pipeline based on the Genome Analysis Toolkit (GATK)-PathSeq algorithm to subtract out human RNA reads and map the remaining RNA reads to microbes. No microbial association with ALCL was identified, but we found Epstein-Barr virus in the DLBCL positive controls and determined the breast cancers to be negative. In conclusion, we did not find a pathogen associated with systemic ALCL, but because we analyzed only one ALCL tumor from an immunosuppressed person, we cannot exclude the possibility that a pathogen is associated with some cases that arise in the setting of immunosuppression.
format article
author Parag Mahale
Jason Nomburg
Joo Y. Song
Mia Steinberg
Gabriel Starrett
Joseph Boland
Charles F. Lynch
Amy Chadburn
Paul G. Rubinstein
Brenda Y. Hernandez
Dennis D. Weisenburger
Susan Bullman
Eric A. Engels
author_facet Parag Mahale
Jason Nomburg
Joo Y. Song
Mia Steinberg
Gabriel Starrett
Joseph Boland
Charles F. Lynch
Amy Chadburn
Paul G. Rubinstein
Brenda Y. Hernandez
Dennis D. Weisenburger
Susan Bullman
Eric A. Engels
author_sort Parag Mahale
title Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
title_short Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
title_full Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
title_fullStr Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
title_full_unstemmed Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
title_sort metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma
publisher BMC
publishDate 2021
url https://doaj.org/article/0f4a3246766a4a9c8765154cfb5fa79b
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