Evidence map›Paper›PMID 27684276›Full record

ReviewJournal of visualized experiments : JoVE2016

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors.

Alan J Fox, Matthew C Hiemenz, David B Lieberman, Shrey Sukhadia, Barnett Li, Joseph Grubb, Patrick Candrea, Karthik Ganapathy, Jianhua Zhao, David Roth and 3 more

Open access · bronzeAbstract readReviewVideo-Audio Media
In one paragraph

Review in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Aplastic anemia in a patient with CVID due to NFKB1 haploinsufficiency.Cold Spring Harbor molecular case studies · 2020
    Article
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  3. Review
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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

13 authors at 2 institutions in 1 country.

Alan J FoxDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Matthew C HiemenzDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
David B LiebermanDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Shrey SukhadiaDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Barnett LiDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Joseph GrubbDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Patrick CandreaDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Karthik GanapathyDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Jianhua ZhaoDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
David RothDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania.
Evan AlleyDivision of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania; Abramson Cancer Center.
Alison LorenDivision of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania; Abramson Cancer Center.
Jennifer J D MorrissetteDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania; Jennifer.Morrissette@uphs.upenn.edu.
University of Pennsylvania · USAbramson Cancer Center

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As our understanding of the driver mutations necessary for initiation and progression of cancers improves, we gain critical information on how specific molecular profiles of a tumor may predict responsiveness to therapeutic agents or provide knowledge about prognosis. At our institution a tumor genotyping program was established as part of routine clinical care, screening both hematologic and solid tumors for a wide spectrum of mutations using two next-generation sequencing (NGS) panels: a custom, 33 gene hematological malignancies panel for use with peripheral blood and bone marrow, and a commercially produced solid tumor panel for use with formalin-fixed paraffin-embedded tissue that targets 47 genes commonly mutated in cancer. Our workflow includes a pathologist review of the biopsy to ensure there is adequate amount of tumor for the assay followed by customized DNA extraction is performed on the specimen. Quality control of the specimen includes steps for quantity, quality and integrity and only after the extracted DNA passes these metrics an amplicon library is generated and sequenced. The resulting data is analyzed through an in-house bioinformatics pipeline and the variants are reviewed and interpreted for pathogenicity. Here we provide a snapshot of the utility of each panel using two clinical cases to provide insight into how a well-designed NGS workflow can contribute to optimizing clinical outcomes.

Indexed as

High-Throughput Nucleotide SequencingMutationComputational BiologyGenotypeHumansNeoplasms

Identifiers

PMID27684276
PMCPMC5092039
OpenAlexW2522508548

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.