DNA copy number motifs are strong and independent predictors of survival in breast cancer
作者： Arne V Pladsen , Gro Nilsen , Oscar M Rueda , Miriam R Aure , Ørnulf Borgan
DOI: 10.1038/S42003-020-0884-6
关键词:
摘要: Somatic copy number alterations are a frequent sign of genome instability in cancer. A precise characterization the architecture would reveal underlying mechanisms and provide an instrument for outcome prediction treatment guidance. Here we show that local spatial behavior profiles conveys important information about this architecture. Six filters were defined to characterize regional traits profiles, resulting Copy Aberration Regional Mapping Analysis (CARMA) algorithm was applied tumors four breast cancer cohorts (n = 2919). The derived motifs represent layer complements established molecular classifications score reflecting presence or absence provided highly significant independent prognostic predictor. Results consistent between cohorts. nonsite-specific occurrence detected patterns suggests CARMA captures replication repair defects could have future potential stratification. Pladsen et al. develop (CARMA), derives cancers by integrating several features, predict prognosis stratifications. Their can detect be used personalized medicine.
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