apyrase and Multiple-Myeloma

apyrase has been researched along with Multiple-Myeloma* in 3 studies

Other Studies

3 other study(ies) available for apyrase and Multiple-Myeloma

ArticleYear
Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients.
    International journal of cancer, 2021, 07-15, Volume: 149, Issue:2

    Gene expression profiling can be used for predicting survival in multiple myeloma (MM) and identifying patients who will benefit from particular types of therapy. Some germline single nucleotide polymorphisms (SNPs) act as expression quantitative trait loci (eQTLs) showing strong associations with gene expression levels. We performed an association study to test whether eQTLs of genes reported to be associated with prognosis of MM patients are directly associated with measures of adverse outcome. Using the genotype-tissue expression portal, we identified a total of 16 candidate genes with at least one eQTL SNP associated with their expression with Pā€‰<ā€‰10

    Topics: Aged; Apyrase; Female; Gene Expression Profiling; Genetic Association Studies; Germ-Line Mutation; Humans; Male; Middle Aged; Mitochondrial Proteins; Multiple Myeloma; Polymorphism, Single Nucleotide; Quantitative Trait Loci; RNA-Binding Proteins; Survival Analysis

2021
Conversion of ATP to adenosine by CD39 and CD73 in multiple myeloma can be successfully targeted together with adenosine receptor A2A blockade.
    Journal for immunotherapy of cancer, 2020, Volume: 8, Issue:1

    PD1/PDL1-directed therapies have been unsuccessful for multiple myeloma (MM), an incurable cancer of plasma cells in the bone marrow (BM). Therefore, other immune checkpoints such as extracellular adenosine and its immunosuppressive receptor should be considered. CD39 and CD73 convert extracellular ATP to adenosine, which inhibits T-cell effector functions via the adenosine receptor A2A (A2AR). We set out to investigate whether blocking the adenosine pathway could be a therapy for MM.. Expression of CD39 and CD73 on BM cells from patients and T-cell proliferation were determined by flow cytometry and adenosine production by Liquid chromatograpy-mass spectrometry (HPCL/MS). ENTPD1 (CD39) mRNA expression was determined on myeloma cells from patients enrolled in the publicly available CoMMpass study. Transplantable 5T33MM myeloma cells were used to determine the effect of inhibiting CD39, CD73 and A2AR in mice in vivo.. Elevated level of adenosine was found in BM plasma of MM patients. Myeloma cells from patients expressed CD39, and high gene expression indicated reduced survival. CD73 was found on leukocytes and stromal cells in the BM. A CD39 inhibitor, POM-1, and an anti-CD73 antibody inhibited adenosine production and reduced T-cell suppression in vitro in coculture of myeloma and stromal cells. Blocking the adenosine pathway in vivo with a combination of Sodium polyoxotungstate (POM-1), anti-CD73, and the A2AR antagonist AZD4635 activated immune cells, increased interferon gamma production, and reduced the tumor load in a murine model of MM.. Our data suggest that the adenosine pathway can be successfully targeted in MM and blocking this pathway could be an alternative to PD1/PDL1 inhibition for MM and other hematological cancers. Inhibitors of the adenosine pathway are available. Some are in clinical trials and they could thus reach MM patients fairly rapidly.

    Topics: 5'-Nucleotidase; Adenosine; Adenosine Triphosphate; Animals; Antigens, CD; Apyrase; Female; Humans; Mice; Mice, Inbred C57BL; Multiple Myeloma; Prognosis; Receptor, Adenosine A2A; Survival Rate

2020
Mass Cytometry Discovers Two Discrete Subsets of CD39
    Frontiers in immunology, 2019, Volume: 10

    Multiple Myeloma (MM) is preceded by the clinically stable condition monoclonal gammopathy of undetermined significance (MGUS). Critical immune events that discriminate MGUS from newly diagnosed MM (ND)MM patients remain unknown, but may involve changes in the regulatory T cell (Treg) compartment that favor myeloma growth. To address this possibility, we used mass cytometry and the unsupervised clustering algorithm Flow self-organizing map (FlowSOM) to interrogate the distribution of multiple subsets within CD25

    Topics: Adult; Aged; Aged, 80 and over; Apyrase; Bone Marrow; Female; Flow Cytometry; Humans; Immunophenotyping; Leukocyte Common Antigens; Male; Middle Aged; Monoclonal Gammopathy of Undetermined Significance; Multiple Myeloma; Programmed Cell Death 1 Receptor; Receptors, Immunologic; T-Lymphocytes, Regulatory

2019