Bennett, L., Howell, M., Memon, D., Smowton, C., Zhou, C. and Miller, C. J. (2018) Mutation pattern analysis reveals polygenic mini-drivers associated with relapse after surgery in lung adenocarcinoma. Scientific Reports, 8, 14830. (doi: 10.1038/s41598-018-33276-3) (PMID:30287876) (PMCID:PMC6172282)
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Abstract
The genomic lesions found in malignant tumours exhibit a striking degree of heterogeneity. Many tumours lack a known driver mutation, and their genetic basis is unclear. By mapping the somatic mutations identified in primary lung adenocarcinomas onto an independent coexpression network derived from normal tissue, we identify a critical gene network enriched for metastasis-associated genes. While individual genes within this module were rarely mutated, a significant accumulation of mutations within this geneset was predictive of relapse in lung cancer patients that have undergone surgery. Since it is the density of mutations within this module that is informative, rather than the status of any individual gene, these data are in keeping with a ‘mini-driver’ model of tumorigenesis in which multiple mutations, each with a weak effect, combine to form a polygenic driver with sufficient power to significantly alter cell behaviour and ultimately patient outcome. These polygenic mini-drivers therefore provide a means by which heterogeneous mutation patterns can generate the consistent hallmark changes in phenotype observed across tumours.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Miller, Professor Crispin |
Creator Roles: | |
Authors: | Bennett, L., Howell, M., Memon, D., Smowton, C., Zhou, C., and Miller, C. J. |
College/School: | College of Medical Veterinary and Life Sciences > School of Cancer Sciences |
Journal Name: | Scientific Reports |
Publisher: | Nature Research |
ISSN: | 2045-2322 |
ISSN (Online): | 2045-2322 |
Published Online: | 04 October 2018 |
Copyright Holders: | Copyright © 2018 The Authors |
First Published: | First published in Scientific Reports 8:14830 |
Publisher Policy: | Reproduced under a Creative Commons Licence |
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