Blood · 2019 · 99 citations · 22 references
Life SciencesGeneticsHematologyImmunogeneticsMedical GeneticsClinical CytogeneticsMutant EvaluationMutation AnalysisMutation ScreeningMutational SignaturesResponse AssessmentClinical Genomic DiagnosticsGermline Mutation TestingMutational GenomicsNext-generation Sequencing BiomarkersTargeted Mutation Testing
In chronic myeloid leukemia (CML) patients, tyrosine kinase inhibitors (TKIs) may select for drug-resistant BCR-ABL1 kinase domain (KD) mutants. Although Sanger sequencing (SS) is considered the gold standard for BCR-ABL1 KD mutation screening, next-generation sequencing (NGS) has recently been assessed in retrospective studies. We conducted a prospective, multicenter study (NEXT-in-CML) to assess the frequency and clinical relevance of low-level mutations and the feasibility, cost, and turnaround times of NGS-based BCR-ABL1 mutation screening in a routine setting. A series of 236 consecutive CML patients with failure (n = 124) or warning (n = 112) response to TKI therapy were analyzed in parallel by SS and NGS in 1 of 4 reference laboratories. Fifty-one patients (22 failure, 29 warning) who were negative for mutations by SS had low-level mutations detectable by NGS. Moreover, 29 (27 failure, 2 warning) of 60 patients who were positive for mutations by SS showed additional low-level mutations. Thus, mutations undetectable by SS were identified in 80 out of 236 patients (34%), of whom 42 (18% of the total) had low-level mutations somehow relevant for clinical decision making. Prospective monitoring of mutation kinetics demonstrated that TKI-resistant low-level mutations are invariably selected if the patients are not switched to another TKI or if they are switched to a inappropriate TKI or TKI dose. The NEXT-in-CML study provides for the first time robust demonstration of the clinical relevance of low-level mutations, supporting the incorporation of NGS-based BCR-ABL1 KD mutation screening results in the clinical decision algorithms.
22
The National Comprehensive Cancer Network
William T. McGivney · Cancer · 1998 · 16.9K citations
Matthew S. Zabriskie, Christopher A. Eide, Srinivas K. Tantravahi et al. · Cancer Cell · 2014 · 366 citations · Full text
Simona Soverini, Alessandra Gnani, Sabrina Colarossi et al. · Blood · 2009 · 174 citations · Full text