PLX242195

GSE150020: Immunogenomic identification and characterization of granulocytic myeloid derived suppressor cells in multiple myeloma (RNA-Seq Epigenetic treatments)

  • Organsim human
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

Purpose: we aimed at providing the phenotypic profile of G-MDSCs based on their prognostic significance in MM, immunosuppressive potential, and molecular program.; Methods and results: The pre-established phenotype of G-MDSCs was evaluated in bone marrow samples from controls and MM patients using multidimensional flow cytometry and, surprisingly, we found that CD11b+CD14-CD15+CD33+HLADR- cells overlapped with common eosinophils and neutrophils, which were not expanded in MM patients. Thus, we relied on automated clustering to unbiasedly identify all granulocytic subsets in the tumor microenvironment: basophils, eosinophils, immature, intermediate and mature neutrophils. In a series of 267 newly-diagnosed MM patients (GEM2012MENOS65 trial), only the frequency of mature neutrophils at diagnosis was significantly associated with patients outcome, and a high mature-neutrophils/T-cell ratio resulted in inferior progression-free survival (P<.001). Upon FACSorting of each neutrophil subset, T cell proliferation decreased in presence of mature neutrophils (0.5-fold; P=.016) and the cytotoxic potential of T cells engaged by a BCMAxCD3 bispecific antibody increased notably with the depletion of mature neutrophils (4-fold; P=.0007). Most interestingly, RNAseq of the three subsets revealed that G-MDSCs-related genes were specifically upregulated in mature neutrophils from MM patients vs controls due to differential chromatin accessibility.; Conclusion: Taken together, we established a correlation between the clinical significance, immunosuppressive potential and transcriptional network of well-defined neutrophil subsets, providing for the first time, a set of optimal markers (CD11b/CD13/CD16) for accurate monitoring of G-MDCSs in MM. SOURCE: Cirino Botta (cirino.botta@gmail.com) - "Annunziata" Hospital of Cosenza

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team