Evidence map›Paper›PMID 32923873›Full record

ArticleJCO precision oncology2020

Comparison of Annotation Services for Next-Generation Sequencing in a Large-Scale Precision Oncology Program.

Evangelia Katsoulakis, Jill E Duffy, Bradley Hintze, Neil L Spector, Michael J Kelley

Open access · bronzeAbstract read
In one paragraph

Article in JCO precision oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Guideline
  2. Article
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  6. Article
  7. Review
  8. Artificial Intelligence-Assisted Serial Analysis of Clinical Cancer Genomics Data Identifies Changing Treatment Recommendations and Therapeutic Targets.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. An online compendium of treatable genetic disorders.American journal of medical genetics. Part C, Seminars in medical genetics · 2021
    Article
  14. Article
  15. Article
  16. VA National Precision Oncology Program.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020
    Article
  17. Review
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

5 authors at 3 institutions in 1 country.

Evangelia KatsoulakisDepartment of Radiation Oncology, James A. Haley Veterans Affairs Healthcare System, Tampa, FL.
Jill E DuffyVA National Oncology Program Office, Durham, NC.
Bradley HintzeVA National Oncology Program Office, Durham, NC.
Neil L SpectorVA National Oncology Program Office, Durham, NC.
Michael J KelleyVA National Oncology Program Office, Durham, NC.
Durham VA Health Care System · USDurham VA Medical Center · USJames A. Haley Veterans' Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNext-generation sequencing (NGS) multigene panel testing has become widespread, including the Veterans Affairs (VA), through the VA National Precision Oncology Program (NPOP). The interpretation of genomic alterations remains a bottleneck for realizing precision medicine. We sought to examine the concordance for pathogenicity determination and clinical actionability of annotation services in NPOP.

methodsUnique gene variants were generated from NGS gene panel results using two sequencing services. For each unique gene variant, annotations were provided through N-of-One (NoO), IBM Watson for Genomics (WfG), and OncoKB. Annotations for pathogenicity (all three sources) and actionability (WfG and OncoKB) were examined for concordance. Cohen's kappa statistic was calculated to measure agreement between annotation services.

resultsAmong 1,227 NGS results obtained between 2015 and 2017, 1,388 unique variants were identified in 117 genes. The genes with the largest number of variants included

conclusionThere is substantial variability in pathogenicity assessment of NGS variants in solid tumors by annotation services. In addition, there was only moderate agreement in level 1 therapeutic actionability recommendations between WfG and OncoKB. Improvement in the precision of NGS multigene panel annotation is needed.

Identifiers

PMID32923873
PMCPMC7446349
OpenAlexW3013655964

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.