Evidence map›Paper›PMID 31872418›Full record

ArticleHistology and histopathology2020

Next generation sequencing identifies novel potential actionable mutations for grade I meningioma treatment.

Francesco Pepe, Pasquale Pisapia, Maria Laura Del Basso de Caro, Floriana Conticelli, Umberto Malapelle, Giancarlo Troncone, Juan Carlos Martinez

Abstract read
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In one paragraph

Article in Histology and histopathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. A novel BRAF::PTPRN2 fusion in meningioma: a case report.Acta neuropathologica communications · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. SWI/SNF chromatin remodeling complex alterations in meningioma.Journal of cancer research and clinical oncology · 2021
    Article
  7. Article
  8. Article
  9. STK11 mutation status is associated with decreased survival in meningiomas.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    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

7 authors at 2 institutions in 2 countries.

Francesco Pepe *Department of Public Health, University of Naples "Federico II", Naples, Italy.
Pasquale Pisapia *Department of Public Health, University of Naples "Federico II", Naples, Italy.
Maria Laura Del Basso de CaroDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
Floriana ConticelliDepartment of Public Health, University of Naples "Federico II", Naples, Italy.
Umberto MalapelleDepartment of Public Health, University of Naples "Federico II", Naples, Italy.
Giancarlo TronconeDepartment of Public Health, University of Naples "Federico II", Naples, Italy. giancarlo.troncone@unina.it.
Juan Carlos MartinezDepartment of Pathology, Gregorio Marañon University Hospital, Madrid, Spain.
University of Naples Federico II · ITHospital General Universitario Gregorio Marañón · ES

Funding

- -
6 · The paper itself

Abstract

Meningiomas are common brain tumors that arise from the meningeal membranes that envelope the brain and spinal cord. The World Health Organization classifies these tumors into three histopathological grades. Because of tumor recurrence, treating meningiomas may be challenging even in well-differentiated grade I (GI) neoplasms. Indeed, around 5% of completely resected GI meningiomas relapse within 5 years. Therefore, identifying driver mutations in GI meningiomas through next generation sequencing (NGS) assays is paramount. The aim of this study was to validate the use of the 50-gene AmpliSeq Hotspot Cancer Panel v2 to identify the mutational status of 23 GI meningioma, namely, 12 non recurrent and 11 recurrent. In 18 out of the 23 GI meningiomas analyzed, we identified at least one gene mutation (78.2%). The most frequently mutated genes were c-kit (39.1%), ATM (26.1%), TP53 (26.1%), EGFR (26.1%), STK11 (21.7%), NRAS (17.4%), SMAD4 (13%), FGFR3 (13%), and PTPN11 (13%); less frequent mutations were SMARCB1 (8.7%), FLT3 (8.7%), KRAS (8.7%), FBWX7 (8.7%), ABL1 (8.7%), ERBB2 (8.7%), IDH1 (8.7%), BRAF (8.7%), MET (8.7%), HRAS (4.3%), RB1 (4.3%), CTNNB1 (4.3%), PIK3CA (4.3%), VHL (4.3%), KDR (4.3%), APC (4.3%), NOTCH1 (4.3%), JAK3 (4.3%), and SRC (4.3%). To our knowledge, mutations in all of these genes, except for TP53, STK11, SMARCB1, PIK3CA, VHL, and BRAF, have never been described before in meningiomas. Hence, these findings demonstrate the viability of NGS to detect new genetic alterations in GI meningiomas. Equally important, this technology enabled us to detect possible novel actionable mutations not previously associated with GI and for which selective inhibitors already exist.

Indexed as

DNA Mutational AnalysisAdultAgedAged, 80 and overBiomarkers, TumorFemaleHigh-Throughput Nucleotide SequencingHumansMaleMeningeal NeoplasmsMeningiomaMiddle AgedMutationSequence Analysis, DNAYoung AdultBiomarkers, Tumor

Identifiers

PMID31872418
OpenAlexW2999543386

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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.