Evidence map›Paper›PMID 36097176›Full record

ArticleBritish journal of cancer2022

A mechanistic mathematical model of initiation and malignant transformation in sporadic vestibular schwannoma.

Chay Paterson, Ivana Bozic, Miriam J Smith, Xanthe Hoad, D Gareth R Evans

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 2 countries.

Chay PatersonDivision of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK. chay.paterson@manchester.ac.uk.ORCID 0000-0001-9928-3511
Ivana BozicDepartment of Applied Mathematics, University of Washington, Seattle, WA, USA.ORCID 0000-0003-2761-825X
Miriam J SmithDivision of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK.
Xanthe HoadRadiation Protection Group, Medical Physics, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
D Gareth R EvansDivision of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK.
University of Manchester · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Washington Applied Physics Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA vestibular schwannoma (VS) is a relatively rare, benign tumour of the eighth cranial nerve, often involving alterations to the gene NF2. Previous mathematical models of schwannoma incidence have not attempted to account for alterations in specific genes, and could not distinguish between nonsense mutations and loss of heterozygosity (LOH).

methodsHere, we present a mechanistic approach to modelling initiation and malignant transformation in schwannoma. Each parameter is associated with a specific gene or mechanism operative in Schwann cells, and can be determined by combining incidence data with empirical frequencies of pathogenic variants and LOH.

resultsThis results in new estimates for the base-pair mutation rate u = 4.48 × 10 DISCUSSION: We conclude that radiotherapy is likely to have a negligible excess risk of malignancy for sporadic VS, with a possible exception of rapidly growing tumours.

Indexed as

NeurilemmomaNeuroma, AcousticCell Transformation, NeoplasticHumansLoss of HeterozygosityModels, Theoretical

Identifiers

PMID36097176
PMCPMC9643471
OpenAlexW4295508005

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.