Höppener, D.J., Verheul, S.M.L., Nierop, P.M.H. et al. (18 more authors) (2025) The colorectal liver metastasis growth pattern phenotype is not dependent on genotype. British Journal of Cancer, 133 (7). pp. 945-955. ISSN: 0007-0920
Abstract
Background
The histopathological growth patterns (HGPs) of colorectal cancer liver metastases broadly classify patients into two groups post-liver metastasectomy, with encapsulated HGP indicating a more favourable prognosis. The potential association between HGPs and specific mutations is poorly understood.
Methods
Using next-generation sequencing data of 461 resected patients (104 patients with encapsulated versus 357 patients with non-encapsulated HGP), 19 putative colorectal cancer driver genes, tumour mutational burden (TMB), and microsatellite instability (MSI) or POLE mediated hypermutation were compared.
Results
Most putative drivers, including KRAS (q = 0.89), NRAS (q = 0.98),) and BRAF (q = 0.97)), were not associated with HGP. However, mutations in B2M and PTEN were associated with a encapsulated phenotype (7% vs. 0%, q = 0.001, and 9% vs. 2%, q = 0.02, respectively). TMB was higher in encapsulated patients (median 5.8 vs. 5.1 mutations per megabase, p = 0.009). Multivariable overall survival analysis corrected for genetic and patient factors confirmed that the encapsulated phenotype was an independent prognostic factor (adjusted hazard ratio, 0.60; 95% confidence interval: 0.36–0.99). Upon stratified analysis, all identified genetic associations were equivocal between the cohorts.
Conclusions
While an association between genetic drivers of adaptive immune responses seems probable and could explain a minority of encapsulated patients, these results primarily demonstrate that HGP phenotype is independent of the tumour genotype.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | S:CORT consortium |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
| Date Deposited: | 16 Jan 2026 10:43 |
| Last Modified: | 16 Jan 2026 10:43 |
| Status: | Published |
| Publisher: | Springer Nature |
| Identification Number: | 10.1038/s41416-025-03103-4 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:236199 |
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