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Abstract
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. Although standard-of-care chemotherapeutics are sufficient for most ALL cases, there are subsets of patients with poor response who relapse in disease. The biology underlying differences between subtypes and their response to therapy has only partially been explained by genetic and transcriptomic profiling. Here, we perform comprehensive multi-omic analyses of 49 readily available childhood ALL cell lines, using proteomics, transcriptomics, and pharmacoproteomic characterization. We connect the molecular phenotypes with drug responses to 528 oncology drugs, identifying drug correlations as well as lineage-dependent correlations. We also identify the diacylglycerol-analog bryostatin-1 as a therapeutic candidate in the MEF2D-HNRNPUL1 fusion high-risk subtype, for which this drug activates pro-apoptotic ERK signaling associated with molecular mediators of pre-B cell negative selection. Our data is the foundation for the interactive online Functional Omics Resource of ALL (FORALL) with navigable proteomics, transcriptomics, and drug sensitivity profiles at https://proteomics.se/forall.
Childhood acute lymphoblastic leukemia is characterised by a range of genetic aberrations. Here, the authors use multi-omics profiling of ALL cell lines to connect molecular phenotypes and drug responses to provide an interactive resource of drug sensitivity.
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Details
; Aswad Luay 1
; Stahl, Matthias 1
; Kunold Elena 1 ; Post, Frederik 2
; Erkers Tom 3 ; Struyf Nona 3
; Mermelekas Georgios 1 ; Joshi, Rubin Narayan 1 ; Gracia-Villacampa, Eva 4
; Östling Päivi 3 ; Kallioniemi, Olli P 3 ; Tamm, Katja Pokrovskaja 5
; Siavelis Ioannis 1 ; Lehtiö Janne 1
; Vesterlund Mattias 1
; Jafari Rozbeh 1
1 Karolinska Institutet, Science for Life Laboratory, Clinical Proteomics Mass Spectrometry, Department of Oncology-Pathology, Solna, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
2 Karolinska Institutet, Science for Life Laboratory, Clinical Proteomics Mass Spectrometry, Department of Oncology-Pathology, Solna, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626); University of Muenster, Institute of Plant Biology and Biotechnology, Muenster, Germany (GRID:grid.5949.1) (ISNI:0000 0001 2172 9288)
3 Karolinska Institutet, Science for Life Laboratory, Molecular Precision Medicine, Department of Oncology-Pathology, Solna, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)
4 Biotechnology and Health, KTH, Science for Life Laboratory, Division of Gene Technology, School of Engineering Sciences in Chemistry, Solna, Sweden (GRID:grid.5037.1) (ISNI:0000000121581746)
5 Karolinska Institutet, J6:140 BioClinicum, Department of Oncology-Pathology, Solna, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)




