Evidence map›Paper›PMID 32676933›Full record

ArticleMolecular diagnosis & therapy2020

Analytical and Potential Clinical Performance of Oncomine Myeloid Research Assay for Myeloid Neoplasms.

Joonhong Park, Hoon Seok Kim, Jong-Mi Lee, Jin Jung, Dain Kang, Hayoung Choi, Gun Dong Lee, Jungok Son, Silvia Park, Byung-Sik Cho and 11 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diagnosis & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. A retrospective comparison of salvage intensive chemotherapyTherapeutic advances in hematology · 2022
    Article
  4. Article
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

21 authors at 4 institutions in 2 countries.

Joonhong ParkDepartment of Laboratory Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.ORCID 0000-0001-7354-4234
Hoon Seok KimDepartment of Laboratory Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.ORCID 0000-0001-8980-8177
Jong-Mi LeeDepartment of Laboratory Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.ORCID 0000-0003-2890-5285
Jin JungDepartment of Laboratory Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.ORCID 0000-0002-3104-460X
Dain KangCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-6496-8630
Hayoung ChoiCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-2348-0030
Gun Dong LeeCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jungok SonCatholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Silvia ParkDivision of Acute Leukemia, Department of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-2845-2933
Byung-Sik ChoDivision of Acute Leukemia, Department of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-4524-6616
Hee-Je KimDivision of Acute Leukemia, Department of Hematology, Catholic Hematology Hospital, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-4098-3366
Seongkoo KimDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jae Wook LeeDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0002-0735-0287
Nack-Gyun ChungDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-4855-390X
Bin ChoDepartment of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0001-6675-695X
Hua ZhangThermo Fisher Scientific, Waltham, MA, USA.ORCID 0000-0002-0613-5630
Nickolay A KhazanovThermo Fisher Scientific, Waltham, MA, USA.ORCID 0000-0003-0368-7824
Jongpill ChoiThermo Fisher Scientific Solutions, Seoul, Republic of Korea.ORCID 0000-0003-2755-1809
Jae-Won JungThermo Fisher Scientific Solutions, Seoul, Republic of Korea.ORCID 0000-0002-9081-685X
Yonggoo KimDepartment of Laboratory Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. yonggoo@catholic.ac.kr.ORCID 0000-0003-2808-3795
Myungshin KimDepartment of Laboratory Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea. microkim@catholic.ac.kr.ORCID 0000-0001-8632-0168
The Catholic University of Korea Seoul St. Mary's Hospital · KRCatholic University of Korea · KRSt. Mary's Hospital · USThermo Fisher Scientific (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNext-generation sequencing (NGS) panels have recently been introduced to efficiently detect genetic variations in hematologic malignancies.

objectivesOur aim was to evaluate the performance of the commercialized Oncomine™ myeloid research assay (OMA) for myeloid neoplasms.

methodsCertified reference materials and clinical research samples were used, including 60 genomic DNA and 56 RNA samples. NGS was performed using OMA, which enables the interrogation of 40 target genes, 29 gene fusions, and five expression target genes with five expression control genes by the Ion S5 XL Sequencer. The analyzed data were compared with clinical data using karyotyping, reverse transcription polymerase chain reaction (PCR), fluorescence in situ hybridization, Sanger sequencing, customized NGS panel, and fragment analysis.

resultsAll targets of reference materials were detected except three (two ASXL1 and one CEBPA) mutations, which we had not expected OMA to detect. In clinical search samples, OMA satisfactorily identified DNA variants, including 90 single nucleotide variants (SNVs), 48 small insertions and deletions (indels), and eight FLT3 internal tandem duplications (ITDs) (Kappa agreement 0.938). The variant allele frequencies of SNVs and indels measured by OMA correlated well with clinical data, whereas those of FLT3-ITDs were significantly lower than with fragment analysis (P = 0.008). Together, OMA showed strong ability to identify RNA gene fusions (Kappa agreement 0.961), except one RUNX1-MECOM. The MECOM gene was highly expressed in all five samples with MECOM-associated rearrangements, including inv(3), t(3;3), and t(3;21).

conclusionOMA revealed excellent analytical and potential clinical performance and could be a good replacement for conventional molecular tests.

Indexed as

Molecular Diagnostic TechniquesBiomarkers, TumorDisease ManagementDisease SusceptibilityGenetic Predisposition to DiseaseGenetic VariationHigh-Throughput Nucleotide SequencingHumansINDEL MutationMyeloproliferative DisordersPolymorphism, Single NucleotideReproducibility of ResultsBiomarkers, Tumor

Identifiers

PMID32676933
OpenAlexW3042785877

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.