Journal of Experimental & Clinical Cancer Research · 2010 · 153 citations · 21 references
MedicineGeneticsOncologyCancer GeneticsMolecular OncologyNeoplasiaCancer Molecular DiagnosticsCancer Molecular PathologyDna SequencingMutation AnalysisNext-generation Sequencing In OncologyVariant DetectionAmplification-based Mutation DetectionCancer Mutation AnalysisEgfr Mutation TestingFormalin-fixed Paraffin-embedded Tissue AnalysisMutationReal-time Detection AssaysSomatic MutationsTumor Mutation Detection
BACKGROUND: We have compared mutation analysis by DNA sequencing and Amplification Refractory Mutation System™ (ARMS™) for their ability to detect mutations in clinical biopsy specimens. METHODS: We have evaluated five real-time ARMS assays: BRAF 1799T>A, [this includes V600E and V600K] and NRAS 182A>G [Q61R] and 181C>A [Q61K] in melanoma, EGFR 2573T>G [L858R], 2235-2249del15 [E746-A750del] in non-small-cell lung cancer, and compared the results to DNA sequencing of the mutation 'hot-spots' in these genes in formalin-fixed paraffin-embedded tumour (FF-PET) DNA. RESULTS: The ARMS assays maximised the number of samples that could be analysed when both the quality and quantity of DNA was low, and improved both the sensitivity and speed of analysis compared with sequencing. ARMS was more robust with fewer reaction failures compared with sequencing and was more sensitive as it was able to detect functional mutations that were not detected by DNA sequencing. DNA sequencing was able to detect a small number of lower frequency recurrent mutations across the exons screened that were not interrogated using the specific ARMS assays in these studies. CONCLUSIONS: ARMS was more sensitive and robust at detecting defined somatic mutations than DNA sequencing on clinical samples where the predominant sample type was FF-PET.
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The Consensus Coding Sequences of Human Breast and Colorectal Cancers
Tobias Sjöblom, Siân Jones, Laura D. Wood et al. · Science · 2006 · 3.2K citations
Patterns of somatic mutation in human cancer genomes
Christopher Greenman, Philip Stephens, Raffaella Smith et al. · Nature · 2007 · 3.1K citations · Full text
Life Sciences, Genetics, Oncology +14