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ViroPanel: Hybrid Capture and Massively Parallel Sequencing for Simultaneous Detection and Profiling of Oncogenic Virus Infection and Tumor Genome.

Authors :
Slevin MK
Wollison BM
Powers W
Burns RT
Patel N
Ducar MD
Starrett GJ
Garcia EP
Manning DK
Cheng J
Hanna GJ
Kaye KM
Van Hummelen P
Nag A
Thorner AR
DeCaprio JA
MacConaill LE
Source :
The Journal of molecular diagnostics : JMD [J Mol Diagn] 2020 Apr; Vol. 22 (4), pp. 476-487. Date of Electronic Publication: 2020 Feb 15.
Publication Year :
2020

Abstract

Precision cancer medicine aims to classify tumors by site, histology, and molecular testing to determine an individualized profile of cancer alterations. Viruses are a major contributor to oncogenesis, causing 12% to 20% of all human cancers. Several viruses are causal of specific types of cancer, promoting dysregulation of signaling pathways and resulting in carcinogenesis. In addition, integration of viral DNA into the host (human) genome is a hallmark of some viral species. Tests for the presence of viral infection used in the clinical setting most often use quantitative PCR or immunohistochemical staining. Both approaches have limitations and need to be interpreted/scored appropriately. In some cases, results are not binary (virus present/absent), and it is unclear what to do with a weakly or partially positive result. In addition, viral testing of cancers is performed separately from tests to detect human genomic alterations and can thus be time-consuming and use limited valuable specimen. We present a hybrid-capture and massively parallel sequencing approach to detect viral infection that is integrated with targeted genomic analysis to provide a more complete tumor profile from a single sample.<br /> (Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1943-7811
Volume :
22
Issue :
4
Database :
MEDLINE
Journal :
The Journal of molecular diagnostics : JMD
Publication Type :
Academic Journal
Accession number :
32068070
Full Text :
https://doi.org/10.1016/j.jmoldx.2019.12.010