RESUMEN
PURPOSE: To evaluate cellular protein changes in response to treatment with an approved drug, ibrutinib, in cells expressing normal or mutated granulocyte-colony stimulating factor receptor (G-CSFR). G-CSFR mutations are associated with some hematological malignancies. Previous studies show the efficacy of ibrutinib (a Bruton's tyrosine kinase inhibitor) in mutated G-CSFR leukemia models but do not address broader signaling mechanisms. EXPERIMENTAL DESIGN: A label-free quantitative proteomics workflow to evaluate the cellular effects of ibrutinib treatment is established. This includes three biological replicates of normal and mutated G-CSFR expressed in a mouse progenitor cell (32D cell line) with and without ibrutinib treatment. RESULTS: The proteomics dataset shows about 1000 unique proteins quantified with nearly 400 significant changes (p value < 0.05), suggesting a highly dynamic network of cellular signaling in response to ibrutinib. Importantly, the dataset is very robust with coefficients of variation for quantitation at 13.0-20.4% resulting in dramatic patterns of protein differences among the groups. CONCLUSIONS AND CLINICAL RELEVANCE: This robust dataset is available for further mining, hypothesis generation, and testing. A detailed understanding of the restructuring of the proteomics signaling cascades by ibrutinib in leukemia biology will provide new avenues to explore its use for other related malignancies.