Spatial expression of IKK-alpha is associated with a differential mutational landscape and survival in primary colorectal cancer
- PMID: 35173303
- PMCID: PMC9174220
- DOI: 10.1038/s41416-022-01729-2
Spatial expression of IKK-alpha is associated with a differential mutational landscape and survival in primary colorectal cancer
Abstract
Background: To understand the relationship between key non-canonical NF-κB kinase IKK-alpha(α), tumour mutational profile and survival in primary colorectal cancer.
Methods: Immunohistochemical expression of IKKα was assessed in a cohort of 1030 patients who had undergone surgery for colorectal cancer using immunohistochemistry. Mutational tumour profile was examined using a customised gene panel. Immunofluorescence was used to identify the cellular location of punctate IKKα expression.
Results: Two patterns of IKKα expression were observed; firstly, in the tumour cell cytoplasm and secondly as discrete 'punctate' areas in a juxtanuclear position. Although cytoplasmic expression of IKKα was not associated with survival, high 'punctate' IKKα expression was associated with significantly reduced cancer-specific survival on multivariate analysis. High punctate expression of IKKα was associated with mutations in KRAS and PDGFRA. Dual immunofluorescence suggested punctate IKKα expression was co-located with the Golgi apparatus.
Conclusions: These results suggest the spatial expression of IKKα is a potential biomarker in colorectal cancer. This is associated with a differential mutational profile highlighting possible distinct signalling roles for IKKα in the context of colorectal cancer as well as potential implications for future treatment strategies using IKKα inhibitors.
© 2022. The Author(s).
Conflict of interest statement
The authors declare no competing interests.
Figures
References
-
- CRUK. CRUK Bowel cancer survival statistics [Website]. 2021. https://www.cancerresearchuk.org/health-professional/cancer-statistics/s.... Accessed 1 Nov 2021.
-
- Roseweir AK, Bennett L, Dickson A, Cheng K, Quintayo M-A, Bayani J, et al. Predictive biomarkers for endocrine therapy: retrospective study in tamoxifen and exemestane adjuvant multinational (TEAM) trial. J Natl Cancer Inst. 2017;110:1–12. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
