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Transcriptomic Profiling of Circulating Tumor Cells in Multiple Myeloma: A New Model to Understand Disease Dissemination I

ABSTRACT: The number of peripheral blood (PB) circulating tumor cells (CTCs) predicts risk of transformation in smoldering multiple myeloma (MM) and survival in active MM. Growing evidence suggests that as the tumor progresses and the microenvironment becomes hypoxic, clonal plasma cells (PCs) constantly invade new regions of the bone marrow (BM) through induced systemic recirculation. Of note, the frequency of CTCs is typically low and thus, it could be hypothesized that the dissemination of MM is made by few tumor cells with unique features that induce them to egress the BM and spread the disease through PB. This hypothesis has not been demonstrated because the molecular profile of CTCs in MM has not been investigated. We used gene expression profiling (GEP) arrays to identify gene regulatory networks related to disease dissemination by comparing the molecular profile of CTCs with patient-matched BM clonal PCs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE124435 | GEO | 2019/02/26

REPOSITORIES: GEO

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Transcriptomic Profiling of Circulating Tumor Cells in Multiple Myeloma: A New Model to Understand Disease Dissemination II

Project description:The number of peripheral blood (PB) circulating tumor cells (CTCs) predicts risk of transformation in smoldering multiple myeloma (MM) and survival in active MM. Growing evidence suggests that as the tumor progresses and the microenvironment becomes hypoxic, clonal plasma cells (PCs) constantly invade new regions of the bone marrow (BM) through induced systemic recirculation. Of note, the frequency of CTCs is typically low and thus, it could be hypothesized that the dissemination of MM is made by few tumor cells with unique features that induce them to egress the BM and spread the disease through PB. This hypothesis has not been demonstrated because the molecular profile of CTCs in MM has not been investigated. We used gene expression profiling (GEP) arrays to identify gene regulatory networks related to disease dissemination by comparing the molecular profile of CTCs with patient-matched BM clonal PCs.

2019-02-26 | GSE124436 | GEO

Transcriptomic Profiling of Circulating Tumor Cells in Multiple Myeloma: A New Model to Understand Disease Dissemination III

2019-02-26 | GSE124437 | GEO

Tumor cells in light-chain amyloidosis and multiple myeloma show different transcriptional rewiring of the normal plasma cell development [single-cell RNA-seq]

Project description:Transcriptional atlas of normal PC development in secondary lymphoid organs (SLO), peripheral blood (PB) and BM for comparison with the transcriptional programs (TPs) of tumor PCs in AL, MM and MGUS based on bulk and single-cell RNAseq

2021-06-29 | GSE175385 | GEO

Tumor cells in light-chain amyloidosis and multiple myeloma show different transcriptional rewiring of the normal plasma cell development [bulk RNA-seq]

2021-06-29 | GSE175384 | GEO

Deciphering clonal evolution and dissemination of Multiple Myeloma cells in vivo

Project description:Clonal evolution drives tumor progression, dissemination and relapse in cancer, and dissemination or metastasis of the tumor cells from primary site to other organs is the leading cause of death for cancer patients. This multi-stage process requires tumor cells to survive in the circulation, extravasate at distant sites, then colonization. The whole process involves contributions from both the tumor cells and microenvironment. Here we developed and applied a clonal tracking ‘rainbow’ system into a tumor dissemination xenograft mouse model (SCID-mu) to study the clonal behaviors with the presence of a bone marrow environment showing that only a few subclones successfully remodeled by BM environment can exit the primary site and further colonize in distant tissues. RNA-sequencing results of primary and disseminated MM tumor cells revealed a metastatic signature, which is sequentially activated during human MM progression and significantly associated with overall survival when evaluated against a public patient dataset suggesting SCID-mu model characterizes MM dissemination phenotypically and mechanistically.

2018-10-10 | GSE121007 | GEO

FlowCT for the analysis of large immunophenotypic datasets and biomarker discovery in cancer immunology

Project description:Large-scale immune monitoring is becoming routinely used in clinical trials to identify determinants of treatment responsiveness, particularly to immunotherapies. Flow cytometry remains one of the most versatile and high throughput approaches for single-cell analysis; however, manual interpretation of multidimensional data poses a challenge to capture full cellular diversity and provide reproducible results. We present FlowCT, a semi-automated workspace empowered to analyze large datasets that includes pre-processing, normalization, multiple dimensionality reduction techniques, automated clustering and predictive modeling tools. As a proof of concept, we used FlowCT to compare the T cell compartment in bone marrow (BM) vs peripheral blood (PB) of patients with smoldering multiple myeloma (MM); identify minimally-invasive immune biomarkers of progression from smoldering to active MM; define prognostic T cell subsets in the BM of patients with active MM after treatment intensification; and assess the longitudinal effect of maintenance therapy in BM T cells. A total of 354 samples were analyzed and immune signatures predictive of malignant transformation in 150 smoldering MM patients (hazard ratio [HR]: 1.7; P <.001), and of progression-free (HR: 4.09; P <.0001) and overall survival (HR: 3.12; P =.047) in 100 active MM patients, were identified. New data also emerged about stem cell memory T cells, the concordance between immune profiles in BM vs PB and the immunomodulatory effect of maintenance therapy. FlowCT is a new open-source computational approach that can be readily implemented by research laboratories to perform quality-control, analyze high-dimensional data, unveil cellular diversity and objectively identify biomarkers in large immune monitoring studies.

2021-09-26 | GSE166711 | GEO

Phenotypic, transcriptomic and genomic characterization of clonal plasma cells in light chain amyloidosis [Copy number analysis]

Project description:Immunoglobulin light-chain amyloidosis (AL) is a rare clonal plasma cell (PC) disorder that remains largely incurable. AL and multiple myeloma (MM) share the same cellular origin, but while knowledge about MM PC biology has improved significantly, the same does not apply for AL. Here, we undertook an integrative phenotypic, molecular, and genomic approach to study clonal PCs from 22 newly-diagnosed AL patients. Through principal-component-analysis, we demonstrated highly overlapping phenotypic profiles between AL and MGUS or MM patients. However, in contrast to MM, highly-purified FACSs-sorted clonal PCs in AL (n=9/22) show virtually normal transcriptomes with only 68 deregulated genes as compared to normal PCs, including a few tumor suppressor (CDH1, RCAN) and pro-apoptotic (GLIPR1, FAS) genes. Notwithstanding, clonal PCs in AL (n=11/22) were genomically unstable with a median of 9 copy-number-abnormities (CNAs) per case; many of which similar to those found in MM. Whole-exome sequencing (WES) was performed in three AL patients and revealed a median of 10 non-recurrent mutations per case. Altogether, we showed that although clonal PCs in AL display phenotypic and CNA profiles similar to MM, their transcriptome is remarkably similar to that of normal PCs. First-ever WES revealed the lack of a unifying mutation in AL

2016-07-22 | GSE73041 | GEO

Phenotypic, transcriptomic and genomic characterization of clonal plasma cells in light chain amyloidosis [Gene expression profiling]

2016-07-22 | GSE73040 | GEO

Expression data from exosomes

Project description:Bone marrow (BM) niches provide an optimal substrate for multiple myeloma (MM) cell lodgement and growth. Nevertheless, little is known about the putative mechanisms by which the BM microenvironment can lead to initiation or progression of oncogenesis in this disease. We have demonstrated that BM mesenchymal stromal cell-derived exosomes transfer their miRNA and protein content to clonal plasma cells, thus acting as synaptic vesicles responsible for molding the microenvironment surrounding multiple myeloma (MM) cells, leading to MM growth, dissemination and, therefore, disease progression. We used microarray to detail the changes in microRNA expression in MM-BM mesenchymal stromal cell (MSC)-derived exosomes, compared to normal- and monoclonal gammopathy of undetermined significance- BM-MSC-derived exosomes.

2013-07-24 | GSE39571 | GEO

Tissue-resident macrophages promote multiple myeloma early dissemination and progression via IL-6 and TNFa

Project description:Multiple myeloma (MM) is a plasma cell malignancy characterized by the presence of multiple foci in the skeleton. These distinct tumor foci indicate cycles of tumor growth and dissemination that seed new clusters and drives disease progression. Utilizing an intra-tibial Vk*MYC murine myeloma, we found that CD169 + radiation-resistant, tissue-resident macrophages (MPs) were critical for myeloma early dissemination and disease progression. While depletion of these MPs had no effect on tumor proliferation, it reduced myeloma BM egress and spreading to other bones, which improved overall survival as a single therapy and in combination with BM transplantation. Myeloma dissemination correlated with an increased inflammatory signature in BM MPs, as well as production of IL-6 and TNFα by tumor-associated MPs (TAMs). Exogenous i.v. IL-6 and TNFa could trigger myeloma intravasation in the BM by increasing vascular leakiness in the BM, and by enhancing myeloma motility by reducing CD138 adhesion. Moreover, mice lacking IL-6 had defects in myeloma dissemination as in MP-depleted recipients. While in TNFa or TNFaR deficient mice had defects in MM dissemination, engraftment was also impaired. These effects on myeloma dissemination required production of cytokines in the radiation-resistant compartment, containing these radiation-resistant BM MPs. Taken together, we propose BM egress of myeloma cells is regulated by localized inflammation in foci, driven in part by CD169 + MPs.

2021-06-09 | GSE176385 | GEO

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