Evidence map›Paper›PMID 27102344›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2016

Clinical impact of targeted amplicon sequencing for meningioma as a practical clinical-sequencing system.

Sayaka Yuzawa, Hiroshi Nishihara, Shigeru Yamaguchi, Hiromi Mohri, Lei Wang, Taichi Kimura, Masumi Tsuda, Mishie Tanino, Hiroyuki Kobayashi, Shunsuke Terasaka and 3 more

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In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Brain Invasion and Trends in Molecular Research on Meningioma.Brain tumor research and treatment · 2023
    Review
  8. Review
  9. Genomic Landscape of Meningiomas.Advances in experimental medicine and biology · 2023
    Article
  10. Article
  11. Journal of neurosurgery. Case lessons · 2022
    Article
  12. Review
  13. Metabolomics in High Grade Gliomas.RAS oncology & therapy · 2022
    Article
  14. Article
  15. Review
  16. Genomic Biomarkers of Meningioma: A Focused Review.International journal of molecular sciences · 2021
    Review
  17. Review
  18. Article
  19. Article
  20. 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

13 authors at 2 institutions in 1 country.

Sayaka YuzawaDepartment of Cancer Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Hiroshi NishiharaDepartment of Translational Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Shigeru YamaguchiDepartment of Neurosurgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.ORCID 0000-0003-3710-5888
Hiromi MohriDepartment of Cancer Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Lei WangDepartment of Translational Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Taichi KimuraDepartment of Translational Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Masumi TsudaDepartment of Cancer Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Mishie TaninoDepartment of Cancer Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Hiroyuki KobayashiDepartment of Neurosurgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Shunsuke TerasakaDepartment of Neurosurgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Kiyohiro HoukinTranslational Research Laboratory, Hokkaido University Hospital, Clinical Research and Medical Innovation Center, Sapporo, Japan.
Norihiro SatoTranslational Research Laboratory, Hokkaido University Hospital, Clinical Research and Medical Innovation Center, Sapporo, Japan.
Shinya TanakaDepartment of Cancer Pathology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Hokkaido University · JPHokkaido University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genetic analyses using next-generation sequencers have revealed numerous genetic alterations in various tumors including meningioma, which is the most common primary brain tumor. However, their use as routine laboratory examinations in clinical applications for tumor genotyping is not cost effective. To establish a clinical sequencing system for meningioma and investigate the clinical significance of genotype, we retrospectively performed targeted amplicon sequencing on 103 meningiomas and evaluated the association with clinicopathological features. We designed amplicon-sequencing panels targeting eight genes including NF2 (neurofibromin 2), TRAF7, KLF4, AKT1, and SMO. Libraries prepared with genomic DNA extracted from PAXgene-fixed paraffin-embedded tissues of 103 meningioma specimens were sequenced using the Illumina MiSeq. NF2 loss in some cases was also confirmed by interphase-fluorescent in situ hybridization. We identified NF2 loss and/or at least one mutation in NF2, TRAF7, KLF4, AKT1, and SMO in 81 out of 103 cases (79%) by targeted amplicon sequencing. On the basis of genetic status, we categorized meningiomas into three genotype groups: NF2 type, TRAKLS type harboring mutation in TRAF7, AKT1, KLF4, and/or SMO, and 'not otherwise classified' type. Genotype significantly correlated with tumor volume, tumor location, and magnetic resonance imaging findings such as adjacent bone change and heterogeneous gadolinium enhancement, as well as histopathological subtypes. In addition, multivariate analysis revealed that genotype was independently associated with risk of recurrence. In conclusion, we established a rapid clinical sequencing system that enables final confirmation of meningioma genotype within 7 days turnaround time. Our method will bring multiple benefits to neuropathologists and neurosurgeons for accurate diagnosis and appropriate postoperative management.

Indexed as

GenomicsGenotypeAdolescentAdultAgedAged, 80 and overFemaleHumansKruppel-Like Factor 4Kruppel-Like Transcription FactorsMaleMeningeal NeoplasmsMeningiomaMiddle AgedMutationNeurofibromin 2AKT1 protein, humanKLF4 protein, humanKruppel-Like Factor 4Kruppel-Like Transcription FactorsNeurofibromin 2Proto-Oncogene Proteins c-aktSmoothened ReceptorSMO protein, humanTRAF7 protein, humanTumor Necrosis Factor Receptor-Associated Peptides and Proteins

Identifiers

PMID27102344
OpenAlexW2338300791

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.