Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolomic analysis to assess response to immunotherapy for malignant brain tumors: Part 3

ABSTRACT: An effective immune response in patients with cancer treated with immunotherapy includes dendritic cell (DC) activation and migration followed by stimulation of CD8 and CD4 T cells. This then leads to the activation, proliferation and further activation of other immune cell populations including NK cells or immunosuppressive populations such as Tregs and myeloid derived suppressor cells (MDSCs). These studies were carried out utilizing murine brain tumor models treated with an RNA DC vaccine platform. We hypothesized that metabolomic analyses of urines would be sensitive to the action of this diverse set of immune cells. The objective of this study was to evaluate the feasibility of using metabolomics to follow immune responses after immunotherapy. We chose NMR as our analytical technique of choice, as it has many favorable qualities that make it ideal for analyses of urine.

ORGANISM(S): Mouse Mus Musculus

TISSUE(S): Blood

DISEASE(S): Cancer

SUBMITTER: Ram Khattri

PROVIDER: ST002209 | MetabolomicsWorkbench | Thu Jun 09 00:00:00 BST 2022

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Metabolomic analysis to assess response to immunotherapy for malignant brain tumors: Part 2

Project description:An effective immune response in patients with cancer treated with immunotherapy includes dendritic cell (DC) activation and migration followed by stimulation of CD8 and CD4 T cells. This then leads to the activation, proliferation and further activation of other immune cell populations including NK cells or immunosuppressive populations such as Tregs and myeloid derived suppressor cells (MDSCs). These studies were carried out utilizing murine brain tumor models treated with an RNA DC vaccine platform. We hypothesized that metabolomic analyses of urines would be sensitive to the action of this diverse set of immune cells. The objective of this study was to evaluate the feasibility of using metabolomics to follow immune responses after immunotherapy. We chose NMR as our analytical technique of choice, as it has many favorable qualities that make it ideal for analyses of urine.

2022-06-09 | ST002208 | MetabolomicsWorkbench

Metabolomic analysis to assess response to immunotherapy for malignant brain tumors: Part 1

2022-06-09 | ST002207 | MetabolomicsWorkbench

DC immunotherapy in HIV-1 infection induces a major blood transcriptome shift

Project description:Objective: This study aimed to evaluate the effect of dendritic cell (DC) vaccination against HIV-1 on host gene expression profiles. Design: Longitudinal PBMC samples were collected from participants of the DC-TRN trial for immunotherapy against HIV. Microarray-assisted gene expression profiling was performed to evaluate the effects of vaccination and subsequent interruption of antiretroviral therapy on host genome expression. Data from the DC-TRN trial were compared with results from other vaccination trials. Methods: We used Affymetrix GeneChips for microarray gene expression analysis. Data were analyzed by principal component analysis and differential gene expression was assessed using linear modeling. Gene ontology enrichment and gene set analysis were used to characterize differentially expressed genes. Transcriptome analysis included comparison with PBMCs obtained from DC-vaccinated melanoma patients and of healthy individuals who received seasonal influenza vaccination. Results: DC-TRN immunotherapy in HIV-infected individuals resulted in a major shift in the transcriptome. Longitudinal analysis demonstrated that changes in the transcriptome sustained also during interruption of antiretroviral therapy. After DC-vaccination, the transcriptome was enriched for cellular immunity associated genes that were also induced in healthy adults who received live attenuated influenza virus vaccination. These beneficial responses were accompanied by detrimental signals of general immune activation. Conclusions: The DC-TRN induced changes in the transcriptome were profound, lasting, and consisted of both protective signals and signatures of inflammation and immune exhaustion, with a net result of decreased viral load, without clinical benefit. Thus transcriptome analysis provides useful information, dissecting both positive and negative effects, for the evaluation of safety and efficacy of immunotherapeutic strategies.

2015-04-30 | E-MTAB-3296 | biostudies-arrayexpress

Tumor mitochondrial DNA and antigen-loaded nanoparticles encapsulated with dendritic cell derived microvesicles elicits long lasting anti-tumor immune responses by activating the cGAS-STING pathway

Project description:Scarcity of dendritic cells (DCs) impact lung and pancreatic tumor immune status despite limited clinical benefits from autologous tumor lysate-pulsed DC vaccination. To tackle this issue, we developed a DC-based immunotherapy utilizing cationic nanoparticles (cNPs) loaded with tumor or organoid lysate encapsulated within DC-derived microvesicles (cNPcancer cell@MVDC). Remarkably, cNPcancer cell@MVDC treatment converted immune cold tumors into a hot microenvironment, leading to increased migratory DC population, reduced tumor growth and improved survival in orthotopic animal models compared to mature DC treatment. In vivo tracking experiments demonstrated superior accumulation of cNPcancer cell@MVDC in tumors and draining lymph nodes (dLNs) compared to mature DCs, promoting DC migration to dLNs and activating CD8+ T cells. Clinically, the accurate prediction of tumor immune status, immunotherapy response and patient prognosis relies on migratory DC infiltration rather than CD8+ T cells. Mechanistically, tumor lysate pulsed-cNPs enriched mitochondrial DNA, which exhibited a stronger binding affinity with cGAS compared to nuclear DNA, resulting in enhanced cGAS-STING-mediated DC activation. This immunotherapy elicits durable anti-tumor immune responses, even in immune-deserted tumor environments.

2023-09-16 | PXD045429 |

Treatment of dendritic cells and monocytes from immunotherapy treated patients with ONTAK

Project description:In this experiment, dendritic cells and monocytes obtained from melanoma patients who underwent immunotherapy were stimulated with a maturation cocktail then either treated or not treated with denlieukin diftitox (DD; ONTAK) and then subjected to transcription profiling to investigate the effects of DD on the maturation and activation of dendritic cells and monocytes.

2013-09-04 | E-MTAB-977 | biostudies-arrayexpress

RNA-seq of effector (CD43+) CD8+ T cells, CD45+ hematopoietic cells and CD45- tumor/stromal cells from mice bearing bilateral AT-3 tumors following radio-immunotherapy of which one tumor was irradiated

Project description:Radiotherapy (RT) destroys tumor cells, which may lead to release of antigens and immune-activating signals. In this way, RT may act as an in situ vaccine and kick-start a T-cell response against the tumor. Immunotherapy enhances tumor-specific T-cell responses. Combination of radiotherapy and immunotherapy (radio-immunotherapy (RIT)) can therefore be expected to synergize in inducing and sustaining systemic anti-tumor T-cell responses. However, in the clinic, systemic combined responses between radiotherapy and immunotherapy are rarely observed, as the effect of RIT combinations on ‘abscopal’ tumors outside the radiotherapy field are not (yet) greater than the effect of immunotherapy alone. In order to define potential bottlenecks in the tumor micro-environment that impede CD8 T cell activity, we harvested irradiated and non-irradiated tumors from the same mice that were treated with RIT (10 Gy RT, anti-CD137 and anti-PD1). From these tumors, effector (CD43+) CD8 T cells, ‘other’ hematopoietic (CD45+) cells and tumor/stromal (CD45-) were sorted and RNA sequencing was performed to identify differences between these cell populations in the irradiated and non-irradiated tumors that could explain the lack of T cell activity in the non-irradiated tumor.

2019-02-12 | E-MTAB-6914 | biostudies-arrayexpress

Multiomic analyses of neoadjuvant immunotherapy treated hepatocellular carcinoma

Project description:Multiomic analyses of neoadjuvant immunotherapy treated hepatocellular carcinoma

| PRJNA1121419 | ENA

DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and in response to immunotherapy

Project description:Cancers evade the immune system in order to grow or metastasise through the process of cancer immunoediting. While checkpoint inhibitor therapy has been effective for reactivating tumour immunity in some cancers, many solid cancers, including breast cancer, remain largely non-responsive. Understanding the way non-responsive cancers evolve to evade immunity, what resistance pathways are activated and whether this occurs at the clonal level will improve immunotherapeutic design. We tracked cancer cell clones during the immunoediting process and determined clonal transcriptional profiles that allow immune evasion in murine mammary tumour growth in response to immunotherapy with anti-PD1 and anti-CTLA4. Clonal diversity was significantly restricted by immunotherapy treatment at both the primary and metastatic sites. These findings demonstrate that immunoediting selects for pre-existing breast cancer cell populations, that immunoediting is not a static process and is ongoing during metastasis and immunotherapy treatment. Isolation of immunotherapy resistant clones revealed unique and overlapping transcriptional signatures. The overlapping gene signature was predictive of poor survival in basal-like breast cancer patient cohorts. Some of these overlapping genes have existing small molecules which can be used to potentially improve immunotherapy response.

2021-09-01 | E-MTAB-10027 | biostudies-arrayexpress

Dendritic cell-derived IL-2 promotes apoptosis of terminally mature cells via a novel autocrine signaling pathway

Project description:Dendritic cells (DCs) are crucial for sensing pathogens and triggering immune response. GM-CSF myeloid dendritic cells (GM-DCs) secrete several cytokines including IL-2 upon activation by pathogen associated molecular pattern (PAMP) ligands. DC IL-2 has been shown to be important for innate and adaptive immune responses, however its importance in DC physiology has never been demonstrated. This is due to ambiguity in expression of the CD122 subunit of the IL-2 trimeric receptor complex crucial for signaling. We show here that autocrine IL-2 signaling is functional in GM-DCs in early time window of stimulation with PAMPs. IL-2 signaling selectively activates the JAK/STAT5 pathway by assembling holo-receptor complexs at the cell surface. Autocrine IL-2 signaling inhibits survival of PAMP matured GM-DCs which is crucial for maintaining immune tolerance and preventing autoimmunity. Our findings suggest immune regulation by a novel autocrine signaling pathway that can potentially be exploited in DC immunotherapy. Microarray technology was used to understand the role of IL-2 signaling in DC. Microarray was performed to investigate the role of IL-2 signaling in DC physiology. Hence Wt or IL-2-/- BMDCs were either treated or not with curdlan for 6h and taken for microarray.

2015-05-21 | E-GEOD-58120 | biostudies-arrayexpress

Immunotherapy in Treating Patients With Resected Liver Metastases From Colon Cancer

Project description:RATIONALE: Immunotherapy using CEA-treated white blood cells may help a person’s body build an immune response to kill their tumor cells. PURPOSE: Phase I/II trial to study the effectiveness of immunotherapy with CEA-treated white blood cells in treating patients with resected liver metastases from colon cancer.

| 2002963 | ecrin-mdr-crc

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