Evidence map›Paper›PMID 33909614›Full record

ArticlePloS one2021

Analytical validation and performance characteristics of a 48-gene next-generation sequencing panel for detecting potentially actionable genomic alterations in myeloid neoplasms.

Sun Hee Rosenthal, Anna Gerasimova, Charles Ma, Hai-Rong Li, Andrew Grupe, Hansook Chong, Allan Acab, Alla Smolgovsky, Renius Owen, Christopher Elzinga and 8 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2021. 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
1.0field-weighted citation impact, top 24% 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.

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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

18 authors at 2 institutions in 1 country.

Sun Hee RosenthalDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.ORCID 0000-0001-5478-0274
Anna GerasimovaDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Charles MaDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Hai-Rong LiDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Andrew GrupeDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Hansook ChongDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Allan AcabDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Alla SmolgovskyDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Renius OwenDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Christopher ElzingaDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Rebecca ChenDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Daniel SugganthDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Tracey FreitasDepartment of Molecular Oncology, Med Fusion, Lewisville, TX, United States of America.
Jennifer GrahamDepartment of Molecular Oncology, Med Fusion, Lewisville, TX, United States of America.
Kristen ChampionDepartment of Molecular Oncology, Med Fusion, Lewisville, TX, United States of America.
Anindya BhattacharyaDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Frederick RackeDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Felicitas LacbawanDepartment of Advanced Diagnostics, Quest Diagnostics, San Juan Capistrano, CA, United States of America.
Quest Diagnostics (United States) · USFusion (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of genomic mutations by molecular testing plays an important role in diagnosis, prognosis, and treatment of myeloid neoplasms. Next-generation sequencing (NGS) is an efficient method for simultaneous detection of clinically significant genomic mutations with high sensitivity. Various NGS based in-house developed and commercial myeloid neoplasm panels have been integrated into routine clinical practice. However, some genes frequently mutated in myeloid malignancies are particularly difficult to sequence with NGS panels (e.g., CEBPA, CARL, and FLT3). We report development and validation of a 48-gene NGS panel that includes genes that are technically challenging for molecular profiling of myeloid neoplasms including acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN). Target regions were captured by hybridization with complementary biotinylated DNA baits, and NGS was performed on an Illumina NextSeq500 instrument. A bioinformatics pipeline that was developed in-house was used to detect single nucleotide variations (SNVs), insertions/deletions (indels), and FLT3 internal tandem duplications (FLT3-ITD). An analytical validation study was performed on 184 unique specimens for variants with allele frequencies ≥5%. Variants identified by the 48-gene panel were compared to those identified by a 35-gene hematologic neoplasms panel using an additional 137 unique specimens. The developed assay was applied to a large cohort (n = 2,053) of patients with suspected myeloid neoplasms. Analytical validation yielded 99.6% sensitivity (95% CI: 98.9-99.9%) and 100% specificity (95% CI: 100%). Concordance of variants detected by the 2 tested panels was 100%. Among patients with suspected myeloid neoplasms (n = 2,053), 54.5% patients harbored at least one clinically significant mutation: 77% in AML patients, 48% in MDS, and 45% in MPN. Together, these findings demonstrate that the assay can identify mutations associated with diagnosis, prognosis, and treatment options of myeloid neoplasms even in technically challenging genes.

Indexed as

Hematologic NeoplasmsHigh-Throughput Nucleotide SequencingLeukemia, Myeloid, AcuteMutationMyelodysplastic SyndromesNeoplasm ProteinsHumansNeoplasm Proteins

Identifiers

PMID33909614
PMCPMC8081174
OpenAlexW3159014703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.