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A) Heatmap of mutation distributions in <t>the</t> <t>MBL</t> cohort. Rows and columns represent genes and individuals, respectively. Black boxes indicate mutations (white numbers inside the black boxes indicate the number of mutations found in cases with more than one mutation per gene). IGHV mutation status and FISH data are shown below the mutation profiles. B) Mutation prevalence comparison between 48 MBL and 48 <t>CLL</t> with progressive disease analyzed using the same gene platform and similar sequencing depth coverage (CLL data published by Ojha et al. ).
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A) Heatmap of mutation distributions in the MBL cohort. Rows and columns represent genes and individuals, respectively. Black boxes indicate mutations (white numbers inside the black boxes indicate the number of mutations found in cases with more than one mutation per gene). IGHV mutation status and FISH data are shown below the mutation profiles. B) Mutation prevalence comparison between 48 MBL and 48 CLL with progressive disease analyzed using the same gene platform and similar sequencing depth coverage (CLL data published by Ojha et al. ).

Journal: Leukemia

Article Title: Genomic Characterization of High-Count MBL Cases Indicates that Early Detection of Driver Mutations and Subclonal Expansion are Predictors of Adverse Clinical Outcome

doi: 10.1038/leu.2016.172

Figure Lengend Snippet: A) Heatmap of mutation distributions in the MBL cohort. Rows and columns represent genes and individuals, respectively. Black boxes indicate mutations (white numbers inside the black boxes indicate the number of mutations found in cases with more than one mutation per gene). IGHV mutation status and FISH data are shown below the mutation profiles. B) Mutation prevalence comparison between 48 MBL and 48 CLL with progressive disease analyzed using the same gene platform and similar sequencing depth coverage (CLL data published by Ojha et al. ).

Article Snippet: We have confirmed the existence of mutations in CLL driver genes in over 50% of cases at the premalignant MBL stage and in 60% of MBLs that ultimately progressed to intermediate/advanced Rai stage.

Techniques: Mutagenesis, Comparison, Sequencing

Timeline analysis of MBL individuals that subsequently received treatment. In each case we plot time (months) before treatment (X axis) and Variant Reads (VR) frequency of the different mutations detected in each time point (Y axis). Genes with mutations below 5% are listed but there is no graph associated. Left boxes: Clinical and biological parameters. Prog: Progression to CLL Rai> 0. Grey: Mutations without subclonal expansion; Black: Mutations with subclonal expansion; Arrows: Time (months) from detection of subclonal expansion to initial treatment.

Journal: Leukemia

Article Title: Genomic Characterization of High-Count MBL Cases Indicates that Early Detection of Driver Mutations and Subclonal Expansion are Predictors of Adverse Clinical Outcome

doi: 10.1038/leu.2016.172

Figure Lengend Snippet: Timeline analysis of MBL individuals that subsequently received treatment. In each case we plot time (months) before treatment (X axis) and Variant Reads (VR) frequency of the different mutations detected in each time point (Y axis). Genes with mutations below 5% are listed but there is no graph associated. Left boxes: Clinical and biological parameters. Prog: Progression to CLL Rai> 0. Grey: Mutations without subclonal expansion; Black: Mutations with subclonal expansion; Arrows: Time (months) from detection of subclonal expansion to initial treatment.

Article Snippet: We have confirmed the existence of mutations in CLL driver genes in over 50% of cases at the premalignant MBL stage and in 60% of MBLs that ultimately progressed to intermediate/advanced Rai stage.

Techniques: Variant Assay