Top: Number of recurrent changepoints identified across all cancer types depending on which number of samples is used as the threshold to determine which changepoints are considered ‘recurrent.’ Bottom: Number of recurrent changepoints identified in each cancer type compared to the sample threshold. Sample size and median tumor mutational burden is shown for each cancer type. (TIFF)</p
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
Modern cancer therapies aim at targeting tumour-specific alterations, such as mutations or neo-antig...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
54 genomic regions include a changepoint found in seven or more samples for a given tumor type. Each...
Magnitude of each changepoint is measured as the cosine distance of the signature activity vector on...
Abbreviations of tumor types analyzed in the study. Table B in S1 Text: Co-occurrence of changes in ...
<p>Boxplots show the CNA frequency distributions among tumor samples in 10 randomly selected cancer ...
Counts are binned and refer to how many times a particular mutation was observed in the given cancer...
Purpose To understand the clinical context of tumor mutational burden (TMB) when comparing a pan-...
Each boxplot shows the distribution of activity changes for a particular signature at the recurrent ...
The tumor mutational burden (TMB) is increasingly recognized as an emerging biomarker that predicts ...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
<p>Average number of copy number gains, losses and percent genome altered (PGA) across TCGA cancer t...
<p>The numbers of variants present at a frequency of <1:2000 in Kaviar in each of the gene classific...
(A-B) Waterfall plot of tumor mutation load in the two risk subgroups. (C) Differential analysis of ...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
Modern cancer therapies aim at targeting tumour-specific alterations, such as mutations or neo-antig...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
54 genomic regions include a changepoint found in seven or more samples for a given tumor type. Each...
Magnitude of each changepoint is measured as the cosine distance of the signature activity vector on...
Abbreviations of tumor types analyzed in the study. Table B in S1 Text: Co-occurrence of changes in ...
<p>Boxplots show the CNA frequency distributions among tumor samples in 10 randomly selected cancer ...
Counts are binned and refer to how many times a particular mutation was observed in the given cancer...
Purpose To understand the clinical context of tumor mutational burden (TMB) when comparing a pan-...
Each boxplot shows the distribution of activity changes for a particular signature at the recurrent ...
The tumor mutational burden (TMB) is increasingly recognized as an emerging biomarker that predicts ...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
<p>Average number of copy number gains, losses and percent genome altered (PGA) across TCGA cancer t...
<p>The numbers of variants present at a frequency of <1:2000 in Kaviar in each of the gene classific...
(A-B) Waterfall plot of tumor mutation load in the two risk subgroups. (C) Differential analysis of ...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...
Modern cancer therapies aim at targeting tumour-specific alterations, such as mutations or neo-antig...
Tumor mutation burden (TMB) is a widely recognized stratification biomarker for predicting the effic...