Tumor progression is associated with an immunosuppressive microenvironment that consists of several elements, such as regulatory T cells, type 2 macrophages and myeloid-derived suppressor cells. Here, we identify for the first time a BDCA1+CD14+ population of immunosuppressive cells that resides both in the blood and tumor of melanoma patients. We demonstrated that the presence of these cells in dendritic cell (DC)-based anti-tumor vaccines significantly suppresses CD4+ T cells in an antigen-specific manner. In an attempt to reveal the mechanism of this suppressive activity, we noticed that BDCA1+CD14+ cells express elevated levels of the check-point molecule PD-L1, which thereby hinders T cell proliferation. Importantly, although this suppressive BDCA1+CD14+ population expresses markers of both BDCA1+ DCs and monocytes, functional, transcriptome and proteome analyses clearly revealed that they comprise a unique population of cells that is exploited by tumors to evade immunity. Thus, targeting these cells may improve the efficacy of cancer immunotherapy.
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View SamplesPerforming global gene expression profiling for different types of (Mesenchymal stem cells) MSCs can provide important information that might help in understanding the biology and ontogeny of MSCs. Additionally, it might help in the understanding of the propensity and capacity of MSCs from a particular source to differentiate toward a particular lineage or adopt a certain fate.
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Specimen part
View SamplesTo induce a differentiated phenotype, primary pancreatic TIC cultures were grown in 10% FBS containing conditions. To analyze gene expression changes upon induction of a differentiated phenotype, total RNA of cells cultured in FBS containing conditions and parallel control cells cultured under serum-free conditions was isolated and comparative gene expression profiling was performed.
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View SamplesWe recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens.
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View SamplesCytogenetic abnormalities (CA) are important clinical parameters in various types of cancer, including multiple myeloma (MM). We developed a model to predict CA in patients with MM using gene expression profiling (GEP) and validated it by different cytogenetic techniques. The model was shown to have an accuracy up to 0.89. These results provide proof of concept for the hypothesis that GEP could serve as a one-stop data source for clinical molecular diagnosis and/or prognosis.
Prediction of cytogenetic abnormalities with gene expression profiles.
Specimen part, Disease, Disease stage, Subject
View SamplesIn vivo changes of gene expression profiles (GEP) of tumor cells 48hr after single agent therapy may vary by treatment and provide added predictive power over baseline GEP information. In newly diagnosed patients with multiple myeloma (MM), GEP data were obtained on tumor cells prior to and 48hr after dexamethasone (n=45) or thalidomide treatment (n=42); in case of relapsed MM, GEP data were obtained prior to (n=36) and after (n=19) lenalidomide administration. Dexamethasone and thalidomide induced both common and unique GEP changes. Combined baseline and 48hr changes of GEP in a subset of genes that were discovered in newly diagnosed MM also predicted event-free and overall survival in relapsed patients receiving lenalidomide. Combined with baseline molecular features, changes in GEP following short-term single agent treatment may help guide treatment decisions for patients with MM. The genes whose altered expression is related to eventual survival may also point to mechanisms of action and resistance to different classes of drugs.
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View SamplesAdjuvants are critical for the success of vaccines, and agonists for microbial pattern recognition receptors are promising new candidates. A mechanism for the immune enhancing role of adjuvants is to stimulate innate immunity. We studied the innate immune response in humans to synthetic double stranded RNA (poly ICLC), a ligand for TLR3 and MDA-5 cytosolic RNA helicase. Transcriptional analysis of blood samples from eight volunteers, after subcutaneous administration of poly ICLC showed upregulation of genes involved in multiple innate immune pathways in all subjects, including interferon and inflammasome signaling. Blocking of type I interferon receptor ex vivo significantly dampened the response to poly IC. Comparative transcriptional analysis showed that several innate pathways were similarly induced in volunteers immunized with the highly efficacious Yellow Fever Vaccine. Therefore a chemically defined microbial agonist like poly ICLC can be a reliable and authentic microbial mimic for inducing innate immunity, here for a live attenuated viral vaccine in humans.
Synthetic double-stranded RNA induces innate immune responses similar to a live viral vaccine in humans.
Time
View SamplesWe used microarray analyses of patient myeloma cells (n=52) to correlate individual miRNA expression profiles with GEP-based risk defined by mRNA expression profilesx as well as clinical features of the disease. Unlike for mRNAs, genome-wide elevation of miRNA expression patterns were significantly positively associated with a mRNA-based GEP-risk score (P <.01) and proliferation index (P <.05). Consistent with our observation of global deregulation of miRNA expression profiles, silencing EIF2C2/AGO2, a gene component of the mRNA-based high-risk signature and a master regulator of the genesis and functionality of all miRNAs, dramatically decreased viability in myeloma cell lines.
High-risk myeloma is associated with global elevation of miRNAs and overexpression of EIF2C2/AGO2.
Specimen part, Disease, Disease stage, Subject
View SamplesWaldenstrms macroglobulinemia (WM) is a rare lymphoproliferative disorder with apparent morphologic and immunophenotypic heterogeneity and its origins are still poorly understood. In this study, using Gene-Expression Profiling (GEP), we compared the global mRNA expression patterns of CD19+ WM B cells (WM-BC) and CD138+ WM plasma cells (WM-PC) with those of normal CD19+ peripheral blood B cells (PB-BC), tonsil-BC (T-BC), CD138+ T-PC and bone marrow PC (N-PC).
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View SamplesThis series represents bone marrow aspirates from smoldering multiple myeloma patients
Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis.
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