Figure 1.
Figure 1. Putative driver genes in PMBL pathogenesis as identified by using MutSigCV. Each column in this plot represents an individual case (with mutation[s] in the displayed genes) of the final PMBL sequencing cohort (n = 94), separated into the discovery and extension cohort. Recurrently and significantly mutated genes (as identified by using the MutSigCV algorithm,36 P < .05) constitute individual rows and are sorted according to their mutational frequencies (in the form of absolute numbers of mutated cases as provided on the far right; note that for visualization purposes, of the fifty identified genes only genes mutated in ≥5% of the entire cohort are displayed). Tracks at the bottom of the plot provide information on molecular classification (using the Lymph3Cx assay13), sex, and biopsy site. Mutation types are color-coded as indicated in the key. ABC, activated B-cell; GCB, germinal center B-cell; N/A, not available.

Putative driver genes in PMBL pathogenesis as identified by using MutSigCV. Each column in this plot represents an individual case (with mutation[s] in the displayed genes) of the final PMBL sequencing cohort (n = 94), separated into the discovery and extension cohort. Recurrently and significantly mutated genes (as identified by using the MutSigCV algorithm,36 P < .05) constitute individual rows and are sorted according to their mutational frequencies (in the form of absolute numbers of mutated cases as provided on the far right; note that for visualization purposes, of the fifty identified genes only genes mutated in ≥5% of the entire cohort are displayed). Tracks at the bottom of the plot provide information on molecular classification (using the Lymph3Cx assay13 ), sex, and biopsy site. Mutation types are color-coded as indicated in the key. ABC, activated B-cell; GCB, germinal center B-cell; N/A, not available.

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