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

Medicine and Health

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

C. Paterson, I. Bozic, et al.

Explore the groundbreaking mechanistic mathematical model of vestibular schwannoma (VS) initiation and its potential for malignant transformation, crafted by a team of experts including Chay Paterson, Ivana Bozic, Miriam J. Smith, Xanthe Hoad, and D. Gareth R. Evans. This research offers new insights into mutation rates and the risks associated with radiotherapy.... show more
Abstract
BACKGROUND: A 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). METHODS: Here, 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. RESULTS: This results in new estimates for the base-pair mutation rate μ = 4.48 × 10−10 and the rate of LOH = 2.03 × 10−5/yr in Schwann cells. In addition to new parameter estimates, we extend the approach to estimate the risk of both spontaneous and radiation-induced malignant transformation. 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.
Publisher
British Journal of Cancer
Published On
Sep 12, 2022
Authors
Chay Paterson, Ivana Bozic, Miriam J. Smith, Xanthe Hoad, D. Gareth R. Evans
Tags
vestibular schwannoma
malignant transformation
mathematical model
mutation rate
radiotherapy
Schwann cells
risk estimation
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