Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

45 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (microRNA)

ABSTRACT: Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured microRNA expression of 43 OSCC cases with Agilent Human miRNA microarray rel12.0

ORGANISM(S): Homo sapiens

SUBMITTER: Jiexin Zhang

PROVIDER: E-GEOD-41115 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (mRNA)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured gene expression of 43 OSCC cases with the Affymetrix Human Exon 1.0 ST Array

2013-01-01 | E-GEOD-41116 | biostudies-arrayexpress

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (methylation)

Project description:Oral cavity squamous cell carcinoma (OSCC) is a disease with extensive morbidity and mortality and few useful molecular targets. Multiplatform integrated genomic analysis was performed in order to identify genomic drivers and molecularly discernible tumor subtypes. mRNA, miRNA and methylation data are all submitted to GEO We measured methylation of 42 OSCC tumors, 2 normal oral epithelial tissues, and 2 normal blood samples with Illumina HumanMethylation450 arrays

2013-01-01 | E-GEOD-41114 | biostudies-arrayexpress

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (mRNA)

2013-01-01 | GSE41116 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (microRNA)

2013-01-01 | GSE41115 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers (methylation)

2013-01-01 | GSE41114 | GEO

Integrative genomic characterization of oral squamous cell carcinoma identifies frequent somatic drivers

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2013-01-01 | E-GEOD-41117 | biostudies-arrayexpress

Gene Expression Profiling of Oral Squamous Cell Carcinoma

Project description:Gene Expression Profiling of Oral Squamous Cell Carcinoma (OSCC) was performed to delineate candidate genes clusters with potential to distinguish normal and tumor tissue from oral cavity. All tissue samples were collected after obtaining written informed consent. The RNA profile of 27 OSCC patients was compared with 4 independent controls and 1 pooled control oral cavity tissue from healthy donors. Agilent one-color experiment, Organism: Human, Agilent-014850 Whole Human Genome Microarray 4x44K G4112F

2011-10-29 | E-GEOD-23558 | biostudies-arrayexpress

Mutant p53 drives an immune cold tumor immune microenvironment in oral squamous cell carcinoma

Project description:The critical role of the tumor immune microenvironment (TIME) in determining response to immune checkpoint inhibitor (ICI) therapy underscores the importance of understanding cancer cell–intrinsic mechanisms driving immune-excluded (“cold”) TIMEs. One such cold tumor is oral cavity squamous cell carcinoma (OSCC), a tobacco-associated cancer with mutations in the TP53 gene which responds poorly to ICI therapy. Because altered TP53 function promotes tumor progression and plays a potential role in TIME modulation, here we developed a syngeneic OSCC models with defined Trp53 (p53) mutations and characterized their TIMEs and degree of ICI responsiveness. We observed that a carcinogen-induced p53 mutation promoted a cold TIME enriched with immunosuppressive M2 macrophages highly resistant to ICI therapy. p53-mutated cold tumors failed to respond to combination ICI treatment; however, the combination of a programmed cell death protein 1 (PD-1) inhibitor and stimulator of interferon genes (STING) agonist restored responsiveness. These syngeneic OSCC models can be used to gain insights into tumor cell–intrinsic drivers of immune resistance and to develop effective immunotherapeutic approaches for OSCC and other ICI-resistant solid tumors.

2022-05-04 | GSE201722 | GEO

Development of microRNA (miRNA) expression signatures for human glioma-initiating cells (GICs)

Project description:To identify a novel miRNA that is aberrantly expressed in GICs, we analyzed differences in miRNA expression between the human GICs and glioma cell lines and neural stem cells by miRNA microarrays. We examined the miRNA expression profiles of five human GICs that were obtained from human glioma samples and two human glioma cell lines, U87 and U251, and NSC (neural stem cells) as a control.

2015-04-07 | E-GEOD-61079 | biostudies-arrayexpress

Development of microRNA (miRNA) expression signatures for mouse glioma-initiating cells (GICs)

Project description:To identify a novel miRNA that is aberrantly expressed in GICs, we analyzed differences in miRNA expression between the mouse GICs, NSCL61 and OPCL61, showing characteristic features of cancer stem cell, and their parental cells by miRNA microarrays. neural stem cells, glioma-initiating cells (GICs) from neural stem cells, oligodendrocyte precursor cells, glioma-initiating cells (GICs) from oligodendrocyte precursor cells.

2015-04-07 | E-GEOD-61080 | 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