Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of mode of action for cell-based immunotherapy with ex-vivo expanded and activated autologous killer cells (AKCs) to recurrent glioblastoma (GBM) patients

ABSTRACT: The 12 recurrent GBM patients were participated. NanoString nCounter pancancer IO 360 panel (750 genes) assay was conducted with GBM patients tissue which was extracted at postoperative after recurrent event. The goal of this study was to extract significant genes which were associated with overall survival (OS) and durable response within AKC-treated recurrent GBM patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE142693 | GEO | 2020/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Spatial analysis reveals distinct immune phenotypes and tertiary lymphoid structure-like aggregates in pediatric acute myeloid leukemia [Nanostring PanCancer IO 360]

Project description:Comparison of immune-infiltrated bone marrow samples (n=6) with immune-depleted bone marrow samples (n=17) of pediatric acute myeloid leukemia patients using the Nanostring PanCancer IO 360 panel.

2024-08-27 | GSE228481 | GEO

Gene expression of human angiosarcoma

Project description:Gene expression profiling of human angiosarcoma samples was performed using the NanoString Human nCounter PanCancer IO 360 Panel

2023-05-03 | GSE226338 | GEO

Gene expression of human angiosarcoma and correlation with treatment outcomes

Project description:Gene expression profiling of human angiosarcoma samples was performed using the NanoString Human nCounter PanCancer IO 360 Panel

2020-12-01 | GSE162370 | GEO

Mammary Tumor-Derived Transplants as Breast Cancer Models to Evaluate Tumor-Immune Interactions and Therapeutic Responses

Project description:To investigate mTDT transcriptional features using the Nanostring pancancer io 360 gene expression panel that consists of 770 unique genes involved in the interplay between the tumor, microenvironment and immune response.

2021-12-01 | GSE152403 | GEO

Gene expression related to tumor infiltrating lymphocytes status and BRAFV600E status in naive melanoma cancer patients

Project description:Gene expression profiling of a total of 770 genes included in the PanCancer IO 360™ panel+ 20 genes of interest were studied in 198 melanomas cases and correlated to TILS and BRAF600E mutation status

2022-08-31 | GSE193802 | GEO

CCA NanoString data (60CCA)

Project description:Raw .RCC files for NanoString. nCounter PanCancer IO 360 Panel was used

| EGAD00010002612 | EGA

NanoString Human PC3 nCounter PanCancer IO 360 panel

Project description:NanoString Human PC3 nCounter PanCancer IO 360 panel

| PRJNA772256 | ENA

Paired tumour biopsy gene expression data from patients with solid tumours, before and after combination treatment.

Project description:Gene expression quantification of PanCancer IO genes from paired tumour biopsies from 24 patients with pan-cancer solid tumours, before and after treatment with MTL-CEBPA and pembrolizumab.

2024-10-23 | GSE233860 | GEO

Cancer-immune expressional variation in glioblastoma second surgery samples to compare progression and pseudoprogression

Project description:We performed cancer-immune gene expression analysis on a case series of glioblastoma second surgery samples due to novel enhancement following chemoradiation that were confirmed based on clinico-pathologic outcome as disease progression (PD) or pseudoprogression (psPD). This was accomplished using an nCounter Pancancer 360 IO panel. Our goals were to (1) determine if psPD events could be distinguished from PD events using differences in immune cell activation versus cancer cell proliferation and (2) examine whether samples stratified based on their molecular profile in the same way as documented clinico-pathologic diagnosis.

2023-12-04 | GSE231994 | GEO

Identifying molecular changes in early cervical cancer samples of patients that developed metastasis

Project description:Cervical cancer is one of the most common cancers in women worldwide. Patients diagnosed with early-stage cervical cancer have a good prognosis, however, 10-20% suffer from local or distant recurrent disease after primary treatment. Treatment options for recurrent cervical cancer are limited. Therefore, it is crucial to identify factors that can predict patients with an increased risk of recurrence to optimize treatment to prevent the recurrence of cervical cancer. We aimed to identify biomarkers in early-stage primary cervical cancer which recurred after surgery. Formalin-Fixed, Paraffin-Embedded surgical specimens of 34 patients with early-stage cervical cancer (FIGO 2009 stage 1B1) and 7 healthy controls were analyzed. Targeted gene expression profiling using the PanCancer IO 360 panel of NanoString Technology was performed. The findings were confirmed by performing immunohistochemistry stainings. Various genes, namely GLS, CD36, WNT5a, HRAS, DDB2, PIK3R2, and CDH2 were found to be differentially highly expressed in primary cervical cancer samples of patients who developed distant recurrence. In addition, The relative infiltration score of CD8+ T cells, CD80+CD86+ macrophages, CD163+MRC1+ macrophages, and FOXP3+IL2RA+ regulatory T cells were significantly higher in this group of samples. In contrast, no significant differences in gene expression and relative immune infiltration were found in samples of patients who developed local recurrence. The infiltration of CD8 and FOXP3 cells were validated by immunohistochemistry using all samples included in the study. We identified molecular alterations in primary cervical cancer samples from patients who developed recurrent Q9 disease. These findings can be utilized towards developing a molecular signature for the early detection of patients with a high risk to develop metastasis.

2022-01-03 | GSE192897 | 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