Evidence map›Paper›PMID 31350794›Full record

Trial reportAmerican journal of hematology2019

The diagnostic utility of targeted gene panel sequencing in discriminating etiologies of cytopenia.

Gang Zheng, Ping Chen, Aparna Pallavajjalla, Lisa Haley, Lukasz Gondek, Amy Dezern, Hua Ling, Federico De Marchi, Ming-Tseh Lin, Christopher Gocke

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report in American journal of hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. When are idiopathic and clonal cytopenias of unknown significance (ICUS or CCUS)?Hematology. American Society of Hematology. Education Program · 2021
    Review
  11. Article
  12. Article
  13. GermlineCancers · 2021
    Article
  14. Review
  15. Case Report: Opposite Effects ofFrontiers in oncology · 2021
    Article
  16. International journal of molecular sciences · 2020
    Review
  17. [Progress in pre-myelodysplastic syndrome conditions].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2020
    Article
  18. Article
  19. 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

10 authors at 2 institutions in 2 countries.

Gang ZhengDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-0276-9430
Ping ChenDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Aparna PallavajjallaDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Lisa HaleyDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Lukasz GondekThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Amy DezernThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Hua LingCenter for Inherited Disease Research, Johns Hopkins University, Baltimore, Maryland.
Federico De MarchiDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-0376-663X
Ming-Tseh LinDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Christopher GockeDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins University · USMayo Clinic · US

Funding

Personalized molecular approaches to disease monitoring and maintenance therapies for Myelodysplastic Syndromes (MDS) and Acute Myeloid Leukemia (AML) patients undergoing allogeneic bone marrow transpR21HL143096 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GONDEK, LUKASZ PAWEL · 2018 to 2019
$246k
NHLBI NIH HHS R21 HL143096
6 · The paper itself

Abstract

The diagnostic utility of somatic mutations in the context of cytopenias is unclear: clonal hematopoiesis can be found in healthy individuals, patients with aplastic anemia (AA), clonal cytopenia of undetermined significance (CCUS) and myelodysplastic syndrome (MDS). We examined a cohort of 207 well-characterized cytopenic patients with a 640-gene next generation sequencing (NGS) panel and compared its diagnostic utility with a "virtual" 41 gene panel. The TET2, SF3B1, ASXL1, and TP53 were the most commonly mutated genes (frequency > 10%). Mutations in the 640-gene panel show high sensitivity (98.3%) but low specificity (47.6%) for diagnosis of MDS. Notably, mutations of splicing factors and genes in the RAS pathway are relatively specific to MDS. Furthermore, high variant allele frequency (VAF) predicts MDS: when the VAF is set at 20%, the positive predictive value (PPV) for MDS is 95.9%, with a specificity of 95.3%. The presence of two or more somatic mutations with ≥10% VAF showed a PPV of 95.2%. While the "virtual" 41-gene panel showed a mild decrease in sensitivity (95.7% vs 98.3%), 100% specificity was observed when either VAF was set at ≥20% (100% vs 95.3%), or two or more somatic mutations had VAFs ≥ 10%. Our study shows targeted gene panel sequencing improves the diagnostic approach and accuracy for unexplained cytopenia, with its high sensitivity and high PPV for MDS when applying VAF cutoffs. Furthermore, a 41-gene panel was shown to have at least comparable performance characteristics to the large 640-gene panel.

Indexed as

High-Throughput Nucleotide SequencingMutationAdolescentAdultAgedAged, 80 and overAllelesAnemia, AplasticChildChild, PreschoolDNA Mutational AnalysisFemaleHumansLeukopeniaMaleMiddle Aged

Identifiers

PMID31350794
PMCPMC9162094
OpenAlexW2965498758

What OpenQuestion holds

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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.