Verheye E, Kancheva D, Satilmis H, Vandewalle N, Fan R, Bardet PMR, Clappaert EJ, Verstaen K, De Becker A, Vanderkerken K, De Veirman K, Laoui D. (2024) A single-cell transcriptomic map of the murine and human multiple myeloma immune microenvironment across disease stages. J Hematol Oncol 17(1):107. [article]
Multiple Myeloma (MM) is an incurable blood cancer, leading to weakened immunity, bone damage, and other serious health issues. The high relapse rates following initial treatments, make the search for novel immunotherapies urgent. However, the effectiveness of these therapies often depends on a functional immune microenvironment in MM patients. Researchers from VIB and VUB now provide an interactive tool, based on a single-cell RNA-sequencing (scRNA-seq) atlas of the Multiple Myeloma immune microenvironment across disease stages, to guide developers of novel immunotherapies.
Knowing the Multiple Myeloma tumor-microenvironment
Multiple Myeloma (MM), characterized by the proliferation of malignant plasma cells within the bone marrow, is an incurable disease. Despite high initial response rates to different therapies, most patients eventually relapse and become multi-refractory. Therefore, the search for novel immunotherapies is on. The efficacy of these immune-based therapies often relies on a functional immune microenvironment. Tools to perform an in-depth analysis of the MM tumor-immune microenvironment (TME) may help overcome this obstacle in the development of therapies.
Together with her colleagues from the research teams of Damya Laoui (VIB-VUB) and Kim De Veirman (VUB), Emma Verheye responded to this need. She studied the dynamic changes within the MM-TME of an immunocompetent MM mouse model and uncovered potential resistance mechanisms that could potentially hamper effective and durable therapeutic strategies in MM. This was the basis to develop a comprehensive single-cell RNA-sequencing atlas of the MM- tumor-immune microenvironment in different stages of disease.
New insights in disease progression and targetable immune populations
The results showed that the MM-TME was characterized by an increase in T cells, characterized by an exhausted phenotype. In early disease stages neutrophils appeared to be innocuous, but they acquired pro-tumorigenic characteristics during disease progression. Moreover, conventional dendritic cells (cDCs) were less active in MM, underscoring the potential of immune-boosting therapies.
Freely available research tool
The interactive tool based on the scRNA-seq atlas of the Multiple Myeloma immune microenvironment across disease stages is freely accessible to research teams at www.single-cell.be/Laouimmunology/5T33MMimmunekinetics
Source – VIB
Verheye E, Kancheva D, Satilmis H, Vandewalle N, Fan R, Bardet PMR, Clappaert EJ, Verstaen K, De Becker A, Vanderkerken K, De Veirman K, Laoui D. (2024) A single-cell transcriptomic map of the murine and human multiple myeloma immune microenvironment across disease stages. J Hematol Oncol 17(1):107. [article]
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Multiple Myeloma (MM) is an incurable blood cancer, leading to weakened immunity, bone damage, and other serious health issues. The high relapse rates following initial treatments, make the search for novel immunotherapies urgent. However, the effectiveness of these therapies often depends on a functional immune microenvironment in MM patients. Researchers from VIB and VUB now provide an interactive tool, based on a single-cell RNA-sequencing (scRNA-seq) atlas of the Multiple Myeloma immune microenvironment across disease stages, to guide developers of novel immunotherapies.
Knowing the Multiple Myeloma tumor-microenvironment
Multiple Myeloma (MM), characterized by the proliferation of malignant plasma cells within the bone marrow, is an incurable disease. Despite high initial response rates to different therapies, most patients eventually relapse and become multi-refractory. Therefore, the search for novel immunotherapies is on. The efficacy of these immune-based therapies often relies on a functional immune microenvironment. Tools to perform an in-depth analysis of the MM tumor-immune microenvironment (TME) may help overcome this obstacle in the development of therapies.
Together with her colleagues from the research teams of Damya Laoui (VIB-VUB) and Kim De Veirman (VUB), Emma Verheye responded to this need. She studied the dynamic changes within the MM-TME of an immunocompetent MM mouse model and uncovered potential resistance mechanisms that could potentially hamper effective and durable therapeutic strategies in MM. This was the basis to develop a comprehensive single-cell RNA-sequencing atlas of the MM- tumor-immune microenvironment in different stages of disease.
New insights in disease progression and targetable immune populations
The results showed that the MM-TME was characterized by an increase in T cells, characterized by an exhausted phenotype. In early disease stages neutrophils appeared to be innocuous, but they acquired pro-tumorigenic characteristics during disease progression. Moreover, conventional dendritic cells (cDCs) were less active in MM, underscoring the potential of immune-boosting therapies.
Freely available research tool
The interactive tool based on the scRNA-seq atlas of the Multiple Myeloma immune microenvironment across disease stages is freely accessible to research teams at www.single-cell.be/Laouimmunology/5T33MMimmunekinetics
Source – VIB
Verheye E, Kancheva D, Satilmis H, Vandewalle N, Fan R, Bardet PMR, Clappaert EJ, Verstaen K, De Becker A, Vanderkerken K, De Veirman K, Laoui D. (2024) A single-cell transcriptomic map of the murine and human multiple myeloma immune microenvironment across disease stages. J Hematol Oncol 17(1):107. [article]
Related Posts
Benchmarking RNA sequencing for more accurate alternative splicing analysis
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Small RNA sequencing reveals regulatory roles for sdRNAs in acute myeloid leukemia
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
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