Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines

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 th...

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Veröffentlicht in:NATURE COMMUNICATIONS 2022-03, Vol.13 (1), p.1691-1691, Article 1691
Hauptverfasser: Leo, Isabelle Rose, Aswad, Luay, Stahl, Matthias, Kunold, Elena, Post, Frederik, Erkers, Tom, Struyf, Nona, Mermelekas, Georgios, Joshi, Rubin Narayan, Gracia-Villacampa, Eva, Östling, Päivi, Kallioniemi, Olli P., Tamm, Katja Pokrovskaja, Siavelis, Ioannis, Lehtiö, Janne, Vesterlund, Mattias, Jafari, Rozbeh
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Sprache:eng
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Zusammenfassung: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.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-29224-5