Evidence map›Paper›PMID 32068070›Full record

ArticleThe Journal of molecular diagnostics : JMD2020

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

Michael K Slevin, Bruce M Wollison, Winslow Powers, Robert T Burns, Neil Patel, Matthew D Ducar, Gabriel J Starrett, Elizabeth P Garcia, Danielle K Manning, Jingwei Cheng and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Michael K SlevinCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Bruce M WollisonCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Winslow PowersCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Robert T BurnsCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Neil PatelCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Matthew D DucarCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Gabriel J StarrettLaboratory of Cellular Oncology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland.
Elizabeth P GarciaCenter for Advanced Molecular Diagnostics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Danielle K ManningCenter for Advanced Molecular Diagnostics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Jingwei ChengDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Glenn J HannaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kenneth M KayeDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Paul Van HummelenDivision of Oncology, Department of Medicine, Genome Technology Center, Stanford University, Stanford, California.
Anwesha NagCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Aaron R ThornerCenter for Cancer Genomics, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
James A DeCaprioDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Laura E MacConaillDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: laura_macconaill@dfci.harvard.edu.
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USNational Cancer Institute · USStanford University · US

Funding

Biology of Virus-associated CancersZIABC011894 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STARRETT, GABRIEL · 2019 to 2025
$5.4M
Validation of EP400 downstream effectors and potential therapeutic targets in Merkel cell carcinomaR50CA243777 · NCI · DANA-FARBER CANCER INST · PI CHENG, JINGWEI · 2019 to 2020
$328k
NCI NIH HHS R50 CA243777
6 · The paper itself

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.

Indexed as

Genome, HumanGenomicsHigh-Throughput Nucleotide SequencingCell Transformation, ViralComputational BiologyGenome, ViralGenotypeHumansNeoplasmsPhylogenyPolymorphism, Single NucleotidePrecision MedicineSensitivity and SpecificityTumor Virus InfectionsVirus Integration

Identifiers

PMID32068070
PMCPMC7193840
OpenAlexW3006331282

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.