Pyrosequencing-based methods reveal marked inter-individual differences in oncogene mutation burden in human colorectal tumours
Year: 2011
Type: article
Study design: Observational Study
Abstract: BACKGROUND: The epidermal growth factor receptor-targeted monoclonal antibody cetuximab (Erbitux) was recently introduced for the treatment of metastatic colorectal cancer. Treatment response is dependent on Kirsten-Ras (K-Ras) mutation status, in which the majority of patients with tumour-specific K-Ras mutations fail to respond to treatment. Mutations in the oncogenes B-Raf and PIK3CA (phosphoinositide-3-kinase) may also influence cetuximab response, highlighting the need for a sensitive, accurate and quantitative assessment of tumour mutation burden. METHODS: Mutations in K-Ras, B-Raf and PIK3CA were identified by both dideoxy and quantitative pyrosequencing-based methods in a cohort of unselected colorectal tumours (n=102), and pyrosequencing-based mutation calls correlated with various clinico-pathological parameters. RESULTS: The use of quantitative pyrosequencing-based methods allowed us to report a 13.7% increase in mutation burden, and to identify low-frequency (<30% mutation burden) mutations not routinely detected by dideoxy sequencing. K-Ras and B-Raf mutations were mutually exclusive and independently associated with a more advanced tumour phenotype. CONCLUSION: Pyrosequencing-based methods facilitate the identification of low-frequency tumour mutations and allow more accurate assessment of tumour mutation burden. Quantitative assessment of mutation burden may permit a more detailed evaluation of the role of specific tumour mutations in the pathogenesis and progression of colorectal cancer and may improve future patient selection for targeted drug therapies.
Source: British Journal of Cancer
DOI: 10.1038/bjc.2011.197
Authors: S Weidlich, K Walsh, D Crowther, M E Burczynski, G Feuerstein, F A Carey, R J C Steele, C R Wolf, G Miele, G Smith
Institutions: University of Dundee, Ninewells Hospital, Cancer Research UK
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,190
Awards: G2831675142, G7804396986
OpenAlex ID: W2012082978
