Evidence map›Paper›PMID 35671151›Full record

ArticleArchives of pathology & laboratory medicine2023

Four-Year Laboratory Performance of the First College of American Pathologists In Silico Next-Generation Sequencing Bioinformatics Proficiency Testing Surveys.

Larissa V Furtado, Rhona J Souers, Patricia Vasalos, Jaimie G Halley, Dara L Aisner, Rakesh Nagarajan, Karl V Voelkerding, Jason D Merker, Eric Q Konnick

Abstract read
In one paragraph

Article in Archives of pathology & laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Larissa V FurtadoFrom the Department of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee (Furtado).
Rhona J SouersFrom the Biostatistics Department (Souers), College of American Pathologists, Northfield, Illinois.
Patricia VasalosFrom Proficiency Testing (Vasalos, Halley), College of American Pathologists, Northfield, Illinois.
Jaimie G HalleyFrom Proficiency Testing (Vasalos, Halley), College of American Pathologists, Northfield, Illinois.
Dara L AisnerFrom the Department of Pathology, University of Colorado School of Medicine, Aurora (Aisner).
Rakesh NagarajanFrom PierianDx, St Louis, Missouri (Nagarajan).
Karl V VoelkerdingFrom Voelkerding Consulting, Salt Lake City, Utah (Voelkerding).
Jason D MerkerFrom Departments of Pathology and Laboratory Medicine & Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill (Merker).
Eric Q KonnickFrom the Department of Laboratory Medicine and Pathology, University of Washington, Seattle (Konnick).

Funding

SToP Cancer SPORE: Developmental Research ProgramP50CA257911 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jen Jen Yeh · 2022 to 2026
$12.9M
NCI NIH HHS P50 CA257911
6 · The paper itself

Abstract

CONTEXT.—: In 2016, the College of American Pathologists (CAP) launched the first next-generation sequencing (NGS) in silico bioinformatics proficiency testing survey to evaluate the performance of clinical laboratory bioinformatics pipelines for the detection of oncology-associated variants at varying allele fractions. This survey focused on 2 commonly used oncology panels, the Illumina TruSeq Amplicon Cancer Panel and the Thermo Fisher Ion AmpliSeq Cancer Hotspot v2 Panel. OBJECTIVE.—: To review the analytical performance of laboratories participating in the CAP NGS bioinformatics (NGSB) surveys, comprising NGSB1 for Illumina users and NGSB2 for Thermo Fisher Ion Torrent users, between 2016 and 2019. DESIGN.—: Responses from 78 laboratories were analyzed for accuracy and associated performance characteristics. RESULTS.—: The analytical sensitivity was 90.0% (1901 of 2112) for laboratories using the Illumina platform and 94.8% (2153 of 2272) for Thermo Fisher Ion Torrent users. Variant type and variant allele fraction were significantly associated with performance. False-negative results were seen mostly for multi-nucleotide variants and variants engineered at variant allele fractions of less than 25%. Analytical specificity for all participating laboratories was 99.8% (9303 of 9320). There was no statistically significant association between deletion-insertion length and detection rate. CONCLUSIONS.—: These results demonstrated high analytical sensitivity and specificity, supporting the feasibility and utility of using in silico mutagenized NGS data sets as a supplemental challenge to CAP surveys for oncology-associated variants based on physical samples. This program demonstrates the opportunity and challenges that can guide future surveys inclusive of customized in silico programs.

Indexed as

LaboratoriesNeoplasmsComputational BiologyHigh-Throughput Nucleotide SequencingHumansLaboratory Proficiency TestingPathologists

Identifiers

PMID35671151
PMCPMC13349317

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Registered trials

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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.