Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The FFPE samples of the primary vs. recurrent glioblastoma validation cohort

ABSTRACT: The FFPE samples of the primary vs. recurrent glioblastoma validation cohort

ORGANISM(S): Homo Sapiens

SUBMITTER: Tiannan Guo

PROVIDER: PXD035867 | iProX | Mon Aug 08 00:00:00 BST 2022

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Publications

Quantitative proteomic landscapes of primary and recurrent glioblastoma reveal a protumorigeneic role for FBXO2-dependent glioma-microenvironment interactions.

Buehler Marcel M Yi Xiao X Ge Weigang W Blattmann Peter P Rushing Elisabeth E Reifenberger Guido G Felsberg Joerg J Yeh Charles C Corn Jacob E JE Regli Luca L Zhang Junyi J Cloos Ann A Ravi Vidhya M VM Wiestler Benedikt B Heiland Dieter Henrik DH Aebersold Ruedi R Weller Michael M Guo Tiannan T Weiss Tobias T

Neuro-oncology 20230201 2

<h4>Background</h4>Recent efforts have described the evolution of glioblastoma from initial diagnosis to post-treatment recurrence on a genomic and transcriptomic level. However, the evolution of the proteomic landscape is largely unknown.<h4>Methods</h4>Sequential window acquisition of all theoretical fragment ion spectra mass spectrometry (SWATH-MS) was used to characterize the quantitative proteomes of two independent cohorts of paired newly diagnosed and recurrent glioblastomas. Recurrence-a ...[more]

PMID: 35802605

Similar Datasets

Proteomic profiling of paired primary and recurrent GBM patient samples

Project description:Formalin fixed paraffin embedded (FFPE) primary-recurrent Glioblastoma (pGBM-rGBM) matched patient samples and normal tissue adjacent to tumor (NAT) were analyzed by shotgun DDA proteomics. The proteomic profiles of pGBM-rGBM pairs revealed differentially expressed proteins in rGBM samples, which in future could be used for potential therapeutic interventions.

2021-08-06 | MSV000087947 | MassIVE

Neoadjuvant anti-PD1 immunotherapy for surgically accessible recurrent glioblastoma: clinical and molecular outcomes of a stage 2 single-arm expansion cohort

Project description:Glioblastoma is immunologically “cold” and resistant to single-agent immune-checkpoint inhibitors (ICI). Our previous study of neoadjuvant pembrolizumab in surgically-accessible recurrent glioblastoma identified a molecular signature of response to ICI and suggested that neoadjuvant pembrolizumab may improve survival. To increase the power of this observation, we performed bulk-RNA seq on resected tumor tissue in an additional 25 patients with surgically-accessible recurrent glioblastoma. Neoadjuvant pembrolizumab was associated with suppression of cell cycle/cancer proliferation genes and upregulation of T-cell/interferon-related gene expression. This signature was unique to patients treated with neoadjuvant pembrolizumab and was an independent risk factor for survival. Our results demonstrate a clear pharmacodynamic effect of anti-PD1 therapy in glioblastoma and identify pathways that may mediate resistance. However, we did not confirm a survival benefit to neoadjuvant pembrolizumab in recurrent glioblastoma. Our new data suggests some patients may exhibit innate resistance to pre-surgical ICI and require other concomitant therapies to sensitize effectively.

2024-09-24 | GSE264695 | GEO

Expression pattern of circRNA in primary and recurrent glioblastoma.

Project description:Expression pattern of circRNA in primary and recurrent glioblastoma.

| PRJNA806896 | ENA

Genomic-Enabled Medicine for Recurrent Glioblastoma

Project description:Genomic-Enabled Medicine for Recurrent Glioblastoma

| PRJNA408009 | ENA

Genomic-Enabled Medicine for Recurrent Glioblastoma

Project description:Genomic-Enabled Medicine for Recurrent Glioblastoma

| PRJNA408010 | ENA

Expression pattern of circRNA in primary and recurrent glioblastoma.

Project description:Circular RNAs are single-stranded covalently closed non-coding RNAs expressed in a variety of tissues and cells. Glioblastoma (GBM) is the most aggressive and lethal tumor in the central nervous system, characterized by high recurrence and mortality rates. Here we explore circRNA expression profiles in 26 primary and 3 recurrent GBM samples and compare them to healthy brain tissue. Additionally we compare expression of circRNA in GBM patients blood in comparison to healthy donor blood.

2024-06-29 | GSE196695 | GEO

Multi-omics profiling of paired primary and recurrent glioblastoma patient tissues

Project description:Background Despite maximal therapy with surgery, chemotherapy and radiotherapy, glioblastoma multiforme (GBM) patients have a median survival of only 15 months. Almost all patients inevitably experience symptomatic tumor recurrence. A hallmark of this tumor type is the large heterogeneity between patients and within tumors itself which relate to failure of standardized tumor treatment. In this study, tissue samples of paired primary and recurrent GBM tumors were investigated to identify individual factors related to tumor progression. Methods Paired primary and recurrent GBM tumor tissues from 8 patients were investigated with a multi-omics approach using transcriptomics, proteomics and phosphoproteomics. Results In the studied patient cohort, large variations between and within patients are observed for all omics analyses. A few pathways affected at the different omics levels partly overlapped if patients are analyzed at the individual level, such as synaptogenesis (containing the SNARE complex) and cholesterol metabolism. Phosphoproteomics revealed increased STMN1(S38) phosphorylation that relates to ERBB4 signaling. A pathway tool has been developed to visualize and compare the different omics datasets per patient and showed potential therapeutic drugs, such as abobotulinumtoxina and afatinib, that target these affected pathways. Afatinib targeting ERBB4 signaling is currently in clinical trials for GBM. Conclusions Large variation on all omics levels exist between and within GBM patients. Therefore, it will be rather unlikely to find a drug treatment that would fit all patients. Instead a multi-omics approach can be used to identify affected pathways on the individual patient level and select potential treatment options.

2020-11-17 | PXD017952 | Pride

Comprehensive Proteomic Profiling and Identification of Potential Hub Genes in Primary and Recurrent Glioblastoma Multiforme

Project description:Glioblastoma multiforme (GBM) is the most lethal brain malignant neoplasm, associated with poor prognosis and high recurrence. The mechanisms involved in GBM development and recurrent remains largely unknown. Hence, it’s considerably imperative to explore the potential targets and unravel the mechanism implicated in GBM tumorigenesis and recurrence. In our study, mass spectrometry-based label-free quantitative proteomics was employed to explore the proteomic profiling in non-paired samples of primary and recurrent GBM. Bioinformatic analysis of differentially expression proteins (DEPs) were applied to screen the hub genes. Subsequently, hub genes expression was verified by western blot and immunohistochemistry (IHC) in GBM tissues, followed by its biological effect on GBM at a cellular level determined. We contoured the divergent landscape of proteome between primary and recurrent GBM, with only ten overlapped DEPs included. The several hub genes screened (e.g., CKAP4 and CANX) and enriched pathways correlated with primary GBM such as post-translation, metabolism, energy pathways and cell growth were profiled. Furthermore, CKAP4 was implicated in proliferation, migration and invasion of A172 and T98G cell lines. However, UQCRC1, together with relative enriched pathways such as oxidative phosphorylation, were screened in recurrent GBM. Establishment of the proteomics and several candidate proteins identified could pose considerable access to understand complex biochemical processes and obtain a better picture of GBM biology.

2021-06-06 | PXD026503 |

DNA methylome evolution and reprogramming in recurrent glioblastoma

Project description:DNA methylome evolution and reprogramming in recurrent glioblastoma

| PRJNA437625 | ENA

miRNA profiles in Primary and Recurrent GBM

Project description:Glioblastoma (GBM) bears a dismal prognosis with rapid relapse following complete resection and radiochemotherapy. The involvement of microRNAs in tumor progression has been demonstrated in hepatoma, breast cancer, and prostate cancers. However, the microRNAs involved in modulating the progression and relapse of GBM are still unclear. Initially, we compared the miRNA expression profiles between primary and recurrent GBM tissues from the same patient in twelve independent cases. miRNA expression profiles between primary and recurrent GBM tissues from the same patient in twelve independent cases.

2014-09-28 | E-GEOD-32466 | biostudies-arrayexpress

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