Updated project metadata. We have performed a comprehensive proteomic analysis of clinical patient samples of chronic lymphocytic leukemia (CLL) alongside genome-, transcriptome- and ex-vivo drug response profiling. Trisomy 12 and IGHV mutation status had the strongest impact on the proteome and transcriptome; and SF3B1 mutations preferentially affected the proteome. Unsupervised clustering of the proteome data partitioned CLL patients into six protein based subgroups (PG) with contrasting clinical behavior. PG1-4 could be explained by the impact of trisomy 12 and IGHV mutation status on protein abundances and another subgroup (PG6), was enriched for TP53 mutations. In addition we uncovered a new subgroup (PG5) only detectable from the proteome, characterized by low expression of central B-cell receptor proteins, altered splicing, metabolic reprogramming and increased sensitivity to proteasomal inhibition. https://www.ebi.ac.uk/pride/archive/projects/PXD024544