Functional multi-omics reveals genetic and pharmacologic regulation of surface CD38 in multiple myeloma
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE181277 | GEO | 2021/08/02
REPOSITORIES: GEO
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Project description:Functional multi-omics reveals genetic and pharmacologic regulation of surface CD38 in multiple myeloma
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Project description:The accessibility of cell surface proteins makes them tractable for cancer immunotherapy, but identifying suitable targets remains challenging, and resistance to treatment is common. Technical difficulties precluding the use of whole cell proteomic approaches to characterize cell surface proteins include low abundance, hydrophobicity, and a lack of protease cleavage sites. Furthermore, neither whole-cell proteomic nor transcriptomic data can accurately quantify protein expression at the plasma membrane. Resistance to immunotherapies is commonly mediated by downregulation of the target protein, a particular problem when immunotherapies fail to inhibit a specific biological pathway. Here we have used plasma membrane profiling of primary human myeloma cells to identify an unprecedented number of cell surface proteins and quantify for the first time the entire cell surface proteome of a primary cancer. This approach revealed a novel therapeutic target, SEMA4A, which we potently and selectively targeted with an antibody-drug conjugate in vitro and in vivo. Reduction of SEMA4A expression resulted in marked impairment of myeloma cell growth in vitro, indicating that myeloma cells cannot downregulate SEMA4A to avoid detection. Our data therefore reveal not only a novel myeloma target but provide an exemplar of a top-down approach from the unbiased characterization of a cancer cell surface proteome to novel immunotherapeutic target.
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Project description:CD38 and CD49d are associated negative prognosticators in chronic lymphocytic leukemia (CLL). Despite evidence that both molecules are involved in interactions occurring between CLL and normal cells in the context of CLL-involved tissues, a functional link is still missing. Using gene expression profiles comparing CD38+CD49d+ vs. CD38-CD49d- CLL cells, we demonstrated overexpression of the CCL3 and CCL4 chemokines in cells from the former group. These chemokines were also upregulated by CD38 signals in CLL; moreover, CCL3 was expressed by CLL cells from bone marrow biopsies (BMB) of CD38+CD49d+ but not CD38-CD49d- cases. High levels of CCR1 and, to a lesser extent, CCR5, the receptors for CCL3 and CCL4, were found in CLL-derived monocyte-macrophages. Consistently, CCL3 increased monocyte migration, and CD68+ macrophage infiltration was particularly high in BMB from CD38+CD49d+ CLL. Conditioned media from CCL3-stimulated macrophages induced endothelial cells to express VCAM-1, the CD49d ligand, likely through TNFα over-production. These effects were apparent in BMB from CD38+CD49d+CLL, where lymphoid infiltrates were characterized by a prominent meshwork of VCAM-1+ stromal/endothelial cells. Lastly, CD49d engagement by VCAM-1-transfectants increased viability of CD38+CD49d+ CLL cells. Altogether, CD38 and CD49d can be thought of as a part of a consecutive chain of events ultimately leading to improved survival of CLL cells.
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Project description:The myeloma cell surface proteome (“surfaceome”) not only determines tumor interaction with the microenvironment but serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to first define surface markers most-enriched on myeloma when compared to B-cell malignancy models, revealing unexpected biological signatures unique to malignant plasma cells. We next integrate our proteomic dataset with existing transcriptome databases, nominating CCR10 and TXNDC11 as possible monotherapeutic targets and CD48 as a promising co-target for increasing avidity of BCMA-directed cellular therapies. We further identify potential biomarkers of resistance to proteasome inhibitors and lenalidomide including changes in CD53, EVI2B, CD10, and CD33. Comparison of short-term treatment with chronic resistance delineates large differences in surface proteome profile under each type of drug exposure. Finally, we develop a miniaturized version of the surface proteomics protocol and present the first surface proteomic profile of a primary MM patient plasma cell sample. Our dataset provides a unique resource to advance the biological, therapeutic, and diagnostic understanding of myeloma.
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Project description:The myeloma cell surface proteome (“surfaceome”) not only determines tumor interaction with the microenvironment but serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to first define surface markers most-enriched on myeloma when compared to B-cell malignancy models, revealing unexpected biological signatures unique to malignant plasma cells. We next integrate our proteomic dataset with existing transcriptome databases, nominating CCR10 and TXNDC11 as possible monotherapeutic targets and CD48 as a promising co-target for increasing avidity of BCMA-directed cellular therapies. We further identify potential biomarkers of resistance to proteasome inhibitors and lenalidomide including changes in CD53, EVI2B, CD10, and CD33. Comparison of short-term treatment with chronic resistance delineates large differences in surface proteome profile under each type of drug exposure. Finally, we develop a miniaturized version of the surface proteomics protocol and present the first surface proteomic profile of a primary plasma cell sample. Our dataset provides a unique resource to advance the biological, therapeutic, and diagnostic understanding of myeloma.
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Project description:We showed that interleukin-6 (IL-6) from bone marrow stromal cells downregulated CD38 expression in multiple myeloma (MM) cells. Then we performed a genome-scale CRISPR-Cas9 knockout screening to identify key molecules mediating IL-6-induced CD38 downregulation. Although IL-6 triggered downregulation of CD38 expression on the majority of RPMI 8226 cells, a small fraction maintained relatively high CD38 expression. We therefore sorted those top 5% cells with CD38-high expression and compared these cells with non-sorted control cells. The gene rank based on p-value identified Janus kinase (JAK) 1 and signal transducer-activator of transcription (STAT) 3 as highly positively enriched genes as potential mediators of IL-6-induced CD38 downregulation. We validated STAT3 and found CD38 expression was regulated by both STAT1 (positively) and STAT3 (negatively), and that inhibition of JAK-STAT3 pathway represents a novel therapeutic option to enhance CD38 expression and anti-CD38 monoclonal antibody-mediated MM cytotoxicity.
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