Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Metabolic responses to PD1 immune-checkpoint blockade and association with therapeutic benefits - Part III

ABSTRACT: Inhibition of immune-checkpoint targets including PD1 is clinically effective in a variety of cancers. However, only a subset of patients respond and complete response remains uncommon. Given the known role of metabolites in modulating immunity, we sought to understand how individual patients’ metabolic activities adapt to PD1 immune checkpoint blockade and how they associate with therapeutic benefits. To this end, we profiled metabolites in pre- and multiple on-treatment patient serum samples from three independent immunotherapy trials using hydrophilic interaction liquid chromatography coupled with either triple quadrupole MS multiple reaction monitoring or high resolution full scan MS detection. The study consisted of two Phase I trials (CA209-038, NCT01621490; CA209-009, NCT01358721) which included 78 patients with advanced melanoma and 91 patients with metastatic renal cell carcinoma (RCC) treated with nivolumab. To investigate the generalizability of our results, we also analyzed a large randomized Phase III trial (CheckMate 025, NCT01668784) with 743 RCC patients, among which 394 received nivolumab and 349 received everolimus.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

DISEASE(S): Cancer

SUBMITTER: Clary Clish

PROVIDER: ST001237 | MetabolomicsWorkbench | Mon Aug 12 00:00:00 BST 2019

REPOSITORIES: MetabolomicsWorkbench

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	mwtab	Other

Items per page:

1 - 1 of 1

Similar Datasets

Metabolic responses to PD1 immune-checkpoint blockade and association with therapeutic benefits - Part II

Project description:Inhibition of immune-checkpoint targets including PD1 is clinically effective in a variety of cancers. However, only a subset of patients respond and complete response remains uncommon. Given the known role of metabolites in modulating immunity, we sought to understand how individual patients’ metabolic activities adapt to PD1 immune checkpoint blockade and how they associate with therapeutic benefits. To this end, we profiled metabolites in pre- and multiple on-treatment patient serum samples from three independent immunotherapy trials using hydrophilic interaction liquid chromatography coupled with either triple quadrupole MS multiple reaction monitoring or high resolution full scan MS detection. The study consisted of two Phase I trials (CA209-038, NCT01621490; CA209-009, NCT01358721) which included 78 patients with advanced melanoma and 91 patients with metastatic renal cell carcinoma (RCC) treated with nivolumab. To investigate the generalizability of our results, we also analyzed a large randomized Phase III trial (CheckMate 025, NCT01668784) with 743 RCC patients, among which 394 received nivolumab and 349 received everolimus. V600E is the most common BRAF mutation in melanoma and BRAF_V600E indicates the mutation status.

2019-08-12 | ST001236 | MetabolomicsWorkbench

Metabolic responses to PD1 immune-checkpoint blockade and association with therapeutic benefits - Part I

2019-08-08 | ST001235 | MetabolomicsWorkbench

Whole Exome Predictors Immune Checkpoint Therapy Response in Renal Cell Carcinoma

Project description:<p>Immune checkpoint therapies, including monoclonal antibodies to programmed cell death-1 (PD-1) and cytotoxic % lymphocyte associated protein-4 (CTLA-4), yield durable clinical responses across many tumor types, including metastatic melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC). However, predictors of response to these therapies in RCC are still unknown. Genomic characterization of large clinical cohorts of patients treated with anti-CTLA-4 and anti-PD-1 agents in melanoma and NSCLC have suggested that high mutational burden, high neoantigen burden, and high expression of certain genes in pre-treatment tumors may be associated with patient response to these therapies. In this study, we sought to investigate genomic predictors of response to anti-PD1 therapy in metastatic RCC in two independent clinical cohorts using whole exome and whole transcriptome sequencing.</p>

| phs001493 | dbGaP

Liu2019 - Logistic Regression models to predict intrinsic resistance to anti-PD1 ICB in Ipilimumab treated and Ipilimumab naive patients with metastatic melanoma.

Project description:In this comprehensive study, the authors have developed concise models integrating clinical, genomic and transcriptomic features to predict intrinsic resistance to anti-PD1 Immune Checkpoint Blockade (ICB) treatment in individual tumors. It's important to note that their validation was performed in smaller, independent cohorts, constrained by data availability. The authors have developed two Logistic Regression based models for Ipilimumab treated and Ipilimumab naive patients with metastatic melanoma. The main predictive features for the Ipilimumab treated patients are MHC-II HLA, LDH at treatment initiation and the presence of lymph node metastases (LN met), chosen using forward selection methodology. The main predictive features for the Ipilimumab naive patients are tumor heterogeneity, tumor ploidy and tumor purity, chosen using forward selection methodology. Please note that in these models, the output ‘1’ means progressive disease (PD) and ‘0’ means non-PD. The original GitHub repository can be accessed at https://github.com/vanallenlab/schadendorf-pd1

2023-11-17 | MODEL2310150001 | BioModels

Anti-tumor immunity induces the presentation of aberrant peptides in melanoma

Project description:Extensive tumor inflammation, reflected by high levels of infiltrating T-cells and Interferon gamma (IFNγ) signaling, is thought to improve checkpoint immunotherapy response. However, many tumors escape by activating multiple cellular pathways that induce immunosuppression. One pivotal immune-suppressive mechanism is the production of Tryptophan metabolites along the kynurenine pathway by IFNγ-induced IDO1 enzyme production. However, phase III clinical trials using chemical inhibition of IDO1 in combination with PD1 pathway blockade failed to improve melanoma treatment, suggesting incomplete understanding of the role of IDO1 and the consequent Tryptophan degradation on mRNA translation and cancer progression. Here, we investigated the effects of prolonged IFNγ treatment on mRNA translation in melanoma cells by ribosome profiling. Our results suggest that IFNγ-induced IDO1-mediated Tryptophan depletion may play a key role in the immune recognition of melanoma cells, by inducing the production and presentation of aberrant peptides.

2020-10-18 | GSE142822 | GEO

scRNA-seq of human PBMCs and tumor-infiltrated lymphocytes from melanoma patients analysed prior to checkpoint inhibitor treatment

Project description:We performed single-cell RNA-sequencing of tumor immune infiltrates and matched peripheral blood mononuclear cells of checkpoint inhibitor (CPI)-naive stage III-IV metastatic melanoma patients. After sample collection, the same patients received CPI-treatment and their response was assessed.

2024-04-08 | E-MTAB-13770 | biostudies-arrayexpress

Innate immune checkpoint inhibitor resistance is associated with melanoma sub-types exhibiting invasive and de-differentiated gene expression signatures

Project description:Melanoma is a highly aggressive skin cancer, which, although highly immunogenic, frequently escapes the body’s immune defences. Immune checkpoint inhibitors (ICI), such as anti-PD1, anti-PDL1, and anti-CTLA4 antibodies lead to reactivation of immune pathways, promoting rejection of melanoma. However, the benefits of ICI therapy remain limited to a relatively small proportion of patients who do not exhibit ICI resistance. Moreover, the precise mechanisms underlying innate and acquired ICI resistance remain unclear. Here, we have investigated differences in melanoma tissues in responder and non-responder patients to anti-PD1 therapy in terms of tumour and immune cell gene-associated signatures.

2022-09-15 | GSE213145 | GEO

Expression data from syngeneic Hepa1-6 model in C57Bl/6J mice

Project description:Lenvatinib is an effective drug in advanced hepatocellular carcinoma (HCC). Its combination with the anti-PD1 immune checkpoint inhibitor pembrolizumab has achieved encouraging results in phase Ib and is currently being tested in phase III trials. Here, we aimed at exploring the molecular and immunomodulatory effects of lenvatinib alone or in combination with anti-PD1. We generated a syngeneic model of HCC in C57BL/6J mice and randomized the animals to receive placebo, lenvatinib, anti-PD1 or combination treatment. Transcriptomic analysis were performed to assess the expression profile of tumors from mice receiving each treatment strategy.

2023-04-07 | GSE153203 | GEO

Monocyte-derived DC Expression Data from Advanced Staged Melanoma Patients

Project description:The metastatic form of Melanoma has a reported ten-year survival rate of approximately 15%. Clinical trials have shown modest success in a subset of patients. Particularly, combinational therapy using checkpoint blockade has shown the most success, but many patients do not respond. The patients that do respond to treatments often have a pre-existing antitumor immunity. To generate an optimal anti-tumor immune response, we have previously created a dendritic cell (DC) based adenovirus vaccine targeted against three common melanoma associated antigens: Tyrosinase, MART-1, and MAGE-A6 (TMM2). The vaccine was used in a Phase 1 clinical trial (NCT01622933) , where 35 patients were enrolled. Immature DC (iDC) were generated from patient monocytes (GM-CSF + IL-4), matured (mDC) using IFNG + LPS, and transduced with the adenovirus vaccine (AdVTMM2 DC). Patients received three intradermal injections of the vaccine over the course of one month. Human genome RNA microarray was used to analyze the gene expression profiles of the DC vaccine for each patient.

2020-09-10 | GSE157738 | GEO

Molecular patterns of resistance to immune checkpoint blockade in melanoma [scRNA-Seq]

Project description:Immune checkpoint blockade (ICB) has improved outcome for patients with metastatic melanoma but not all benefit from treatment. Several immune- and tumor intrinsic features are associated with clinical response at baseline. However, we need to further understand the molecular changes occurring during development of ICB resistance. Here, we collected biopsies from a cohort of 44 melanoma patients after progression to anti-CTLA4 or anti-PD1 monotherapy. Genetic alterations of antigen presentation and interferon gamma signaling pathways were observed in approximately 25% of ICB resistant cases. Anti-CTLA4 resistant lesions had a sustained immune response, including immune-regulatory features, as suggested by multiplex spatial and TCR clonality analyses. One anti-PD1 resistant lesion harbored a distinct immune cell niche, however, anti-PD1 resistant tumors were generally immune poor with non-expanded TCR clones. Such immune poor microenvironments were associated with melanoma cells having a de-differentiated phenotype lacking expression of MHC-I molecules. In addition, anti-PD1 resistant tumors had reduced fractions of PD1+ CD8+ T cells as compared to ICB naïve metastases. Collectively, these data show the complexity of ICB resistance and highlight differences between anti-CTLA4 and anti-PD1 resistance that may underlie differential clinical outcomes of therapy sequence and combination.

2024-02-06 | GSE244983 | 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