Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Analysis of DC vaccines used for phase II clinical trial in prostate carcinoma patients

ABSTRACT: Dendritic cell (DC)-based cancer vaccines are a promising immunotherapy against cancer. However, despite the vast number of clinical trials conducted so far, factors and manufacturing procedures essential for these therapeutics to induce effective anti-tumor immune responses have yet to be fully characterized. Here, we performed an extensive characterization of DCs used to vaccinate 18 prostate carcinoma patients enrolled in a pilot trial of TCR gamma alternate reading frame protein (TARP) peptide vaccination (NCT00908258) and looked for correlates with clinical and immunological responses. DCs showing lower expression of tolerogenic gene signature induced strong antigen-specific immune response and slowing in Prostate Specific Antigen (PSA) velocity, a surrogate for clinical response. These DCs were also characterized by lower surface expression of CD14, secretion of IL-10 and MCP-1; and greater secretion of MDC. When combined, these four factors were able to remarkably discriminate DCs that were sufficiently potent to induce strong immunological response. In summary, we identified DC factors essential for the activation of immune responses associated with TARP vaccination in prostate cancer patients. This study highlights the importance of in-depth characterization of DC vaccines – and other cellular therapies, to understand the critical factors that hinder potency and potential efficacy in patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE85698 | GEO | 2017/07/10

SECONDARY ACCESSION(S): PRJNA339129

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

BDCA1+ mDCs and BDCA3+ mDCs stimulated with vaccines for 6 hr

Project description:The mechanisms by which vaccines interact with human APCs remain elusive. We applied systems biology to define the transcriptional programs induced in human DCs by pathogens, innate receptor ligands and vaccines. Upon exposing DCs to influenza, Salmonella enterica and Staphylococcus aureus, we built a modular framework containing 204 pathogen-induced transcript clusters. Module fingerprints were then analyzed in DCs activated with 16 innate receptor ligands. This framework was then used to characterize human monocytes, IL-4 DC and blood DC subsets responses to 13 vaccines. Different vaccines induced distinct signatures based on pathogen type, adjuvant formulation and APC targeted. Fluzone broadly activated IL-4 DC whereas pneumovax only activated monocytes and gardasil (HPV) only activated CD1c+ mDC. This highlights that different antigen-presenting cells respond to different vaccines. Finally, the blood signatures from individuals vaccinated with fluzone or infected with influenza were interpreted using these modules. We identified a signature of adaptive immunity activation following vaccination and symptomatic infections, but not asymptomatic infections. These data, offered with a web interface, might guide the development of improved vaccines. 5 donors; 88 samples; duplicate technical replicates for the medium control for each donor for the BDCA1+ mDC population; single medium control for each donor for the BDCA3+ mDC population (15 total medium controls).

2014-10-22 | E-GEOD-56744 | biostudies-arrayexpress

BDCA1+ mDCs and BDCA3+ mDCs stimulated with vaccines for 6 hr

2014-10-22 | GSE56744 | GEO

Dendritic Cell Vaccination for Patients With Solid Tumors

Project description:The aim of this study is to evaluate the immunogenicity and clinical efficacy of intradermal vaccination with autologous RNA-modified dendritic cells (DCs) - engineered to express the WT1 protein - in patients with limited spread metastatic solid tumors, i.e. breast cancers, glioblastoma grade IV, sarcomas, malignant mesothelioma and colorectal tumors. Based on the results of our previously performed phase I study with autologous WT1 mRNA-transfected DC, the investigators hypothesize that the vaccination with DC will be well-tolerated and will result in an increase in WT1-specific CD8+ T cell responses.

| 2101939 | ecrin-mdr-crc

Real-time quantitative PCR analysis of mouse dendritic cells treated with Ac4ManNAz or PBS

Project description:Dendritic cell (DC) vaccine was among the first FDA-approved cancer immunotherapies, but has been limited by the modest cytotoxic T lymphocyte (CTL) response and therapeutic efficacy. Here we report a facile metabolic labeling approach that enables targeted modulation of adoptively transferred DCs for developing enhanced DC vaccines. We show that metabolic glycan labeling can reduce the membrane mobility of DCs, which activates DCs and improves the antigen presentation and subsequent T cell priming property of DCs. Metabolic glycan labeling itself can enhance the antitumor efficacy of DC vaccines. In addition, the cell-surface chemical tags (e.g., azido groups) introduced via metabolic glycan labeling also enable in vivo conjugation of cytokines onto adoptively transferred DCs, which further enhances CTL response and antitumor efficacy. Our DC labeling and targeting technology provides a new strategy to improve the therapeutic efficacy of DC vaccines, with minimal interference upon the clinical manufacturing process.

2023-07-22 | GSE238016 | GEO

IFNa and IL4 DCs stimulated with microbial components for 6hr

Project description:While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines. 38 samples of IFNa DC and 39 samples of IL4 DC stimulated by CL097, CpG 2006, CpG 2216, Flagellin, IFNa, IL10, IL15, IL1b, LPS, MDP, PAM3, Poly I:C, Poly I:C-LMW-Lyovec, R837 or TNFa

2014-10-22 | E-GEOD-44719 | biostudies-arrayexpress

IFNa DCs and IL4 DCs exposed to H1N1, heat killed S. aureus, or heat killed S. enterica (HKSE) for 1h, 2h, 6h, 12h, or 24h

Project description:While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines. 60 samples of IFNa DC and 60 samples of IL4 DC grown in Media and exposed to either H1N1 Brisbane virus, heat killed Staphylococcus aureus (HKSA), heat killed Salmonella enterica (HKSE), or nothing (media control) for 1h, 2h, 6h, 12h, or 24h

2014-10-22 | E-GEOD-44720 | biostudies-arrayexpress

Transcription profiling of human glioblastoma multiforme tumors taken before dendritic cell vaccination, recurrent tumors after vaccination and control GBM tumors

Project description:Human Glioblastoma Multiforme tumors taken before dendritic cell vaccination, the recurrent tumors taken after vaccination and control GBM tumors from non vaccinated patients. Experiment Overall Design: Six Glioblastoma Multiforme patients underwent surgery. Their brain tumors were removed and analyzed via microarray. The lysate from the tumors were cultured with the patients' dendritic cells and the DCs were injected back into the patients. The patients GBMs returned and they underwent surgery a second time and those tumors were also analyzed via microarray. Tumors from the first and second GBM surgeries of 5 patients who did not receive DC vaccines are included as controls.

2009-04-11 | E-GEOD-11100 | biostudies-arrayexpress

Oncolytic virus M1 functions as a bi-functional checkpoint inhibitor to enhance the antitumor activity of DC vaccine

Project description:Although promising, dendritic cell (DC) vaccines still provide limited clinical benefits, mainly due to the immunosuppressive tumor microenvironment (TME) and the lack of tumor-associated antigens (TAAs). Oncolytic viruses are considered to be an ideal strategy to overcome immunosuppression and expose TAAs, therefore they may work synergistically with DC vaccines. In this study, we demonstrated that oncolytic virus M1 (OVM) can enhance the antitumor effects of DC vaccine in a variety of syngeneic tumor mouse models by increasing the infiltration of CD8+ effector T cells in the TME. Mechanically, we identified that tumor cells offset the function of DC vaccines through the myeloid immune checkpoint SIRPα-CD47, while OVM can downregulate the expression of SIRPα and CD47 in DCs and tumor cells, respectively. Based on the fact that OVM upregulates the expression of PD-L1 in DCs, PD-L1 blockade was introduced with the combination of DC vaccines and OVM, resulting in a further potentiation of antitumor activity. Overall, we revealed that OVM can strengthen the antitumor efficacy of DC vaccines by targeting the immune checkpoint SIRPα-CD47 axis, which exerts dominant immunosuppressive effects on DC vaccines.

2023-09-01 | GSE222080 | GEO

Transcriptomic programming of human CD8+ T cells. By pDCs and cDC2s jin the context of DC-based cancer vaccines

Project description:Cancer vaccines utilizing naturally circulating dendritic cell (DC) subsets, such as plasmacutoid DCs (pDCs) and type 2 convential DCs (cDC2s), have demonstrated their potential as a therapy. For melanoma in recent clinical trials. These DC vaccines aim to. human. DC subsets on the. T cell transcriptional program, which. forms the. molecular. basis. of an. antitumor. T cell response, is. poorly understood. In. this study, we investigated the eraly gene expressionsignature of CD8+ T. cells following. stimulation by pDCs or cDC2s. in. a culture system that mimics. the. current protocol of primary DC-based cancer vaccines. Our results demonstrate that pDCs and cDC2s induce a remarkably similar transcriptomic profile in CD8_ T cells, which. is tailored for increased effector function, survival and sensitivity. towards secondary signals. Nonetheless, differences between pDC- and cDC2-induced T cell gene expression signatures encompass genes with a role in proliferation, cytolytic capacity and differentiation. Combining both DC subsets results in a T cell. transcriptomic program that. is very. similar to. the program induced by. pDCs alone. The results suggest that the. choice of DC subsets for use in cancer vaccines impacts the induced antitumor CD8+ T cell response.

2020-04-01 | GSE142631 | GEO

IL-12 From Endogenous cDC1, and Not Vaccine DC, Is Required for Th1 Induction

Project description:In this study, we generated a chimeric situation by injection of different gene-modified BM-DCs into different strains of gene-modified recipient mice. This allowed us to identify the separate functional contributions of injected versus endogenous DCs for Th1 polarization. We identified the cellular source of IL-12p70 production after subcutaneous BM-DC vaccination as endogenous migratory XCR1+ bystander DCs in the skin draining lymph nodes. DC-DC and DCT cell interaction studies revealed a time course of Th0 priming by injected BM-DCs, followed by interactions of BM-DC with the IL-12+ XCR1+ bystander DCs, and finally IL-12+ XCR1+ bystander DC interactions for Th1 induction. Transcriptional profiling of the bystander DCs underscores their Th1 polarization potential. Together, this study shows that DC-vaccination requires the bystander activation of endogenous DCs for Th1 priming. Our data also challenge the general concept of Th1 priming by a single DC providing all signals 1, 2 and 3 to T cells for Th1 polarization.

2020-06-02 | GSE124677 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data