Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

34 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of human metastasized vs. non-metastasized primary head and neck squamous cell carcinomas

ABSTRACT: Gene expression patterns of 11 metastazised tumors of the head and neck region were compared to 11 non-metastasized tumors Experiment Overall Design: 11 metastazised head and neck squamous cell carcinomas from 3 regions (mouth, oropharynx, larynx) were compared to 11 non-metastazised tumors on affymetrix arrays

ORGANISM(S): Homo sapiens

SUBMITTER: Jan Oosting

PROVIDER: E-GEOD-9349 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Metastasized vs. non-metastasized primary head and neck squamous cell carcinomas: pathway-based gene expression analysis

Project description:Gene expression patterns of 11 metastazised tumors of the head and neck region were compared to 11 non-metastasized tumors Keywords: disease state analysis

2008-05-28 | GSE9349 | GEO

Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: normal head and neck tissue

Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas. The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 18 normal head and neck samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.

2011-10-27 | E-GEOD-25083 | biostudies-arrayexpress

Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: normal head and neck tissue

2011-10-28 | GSE25083 | GEO

DNA methylation profiles of lymph node tissue of head and neck cancer of unknown primary

Project description:Background. The unknown tissue of origin in head and neck cancer of unknown primary (hnCUP) leads to invasive diagnostic procedures and unspecific and potentially inefficient treatment options for patients. The most common histological subtype, squamous cell carcinoma, can stem from various tumor primary sites, including the oral cavity, oropharynx, larynx, head and neck skin, lungs, and esophagus. DNA methylation profiles are highly tissue-specific and have been successfully used to classify tissue origin. We therefore developed a support vector machine (SVM) classifier trained with publicly available DNA methylation profiles of commonly cervically metastasizing squamous cell carcinomas (n = 1,103) in order to identify the primary tissue of origin of our own cohort of squamous cell hnCUP patient’s samples (n = 28). Methylation analysis was performed with Infinium MethylationEPIC v1.0 BeadChip by Illumina. Results. The SVM algorithm achieved the highest overall accuracy of tested classifiers, with 87%. Squamous cell hnCUP samples on DNA methylation level resembled squamous cell carcinomas commonly metastasizing into cervical lymph nodes. The most frequently predicted cancer localization was the oral cavity in 11 cases (39%), followed by the oropharynx and larynx (both 7, 25%), skin (2, 7%), and esophagus (1, 4%). These frequencies concord with the expected distribution of lymph node metastases in epidemiological studies. Conclusions. On DNA methylation level, hnCUP is comparable to primary tumor tissue cancer types that commonly metastasize to cervical lymph nodes. Our SVM-based classifier can accurately predict these cancers’ tissues of origin and could significantly reduce the invasiveness of hnCUP diagnostics and enable a more precise therapy after clinical validation.

2024-03-04 | GSE256413 | GEO

Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: HNSCC

Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas (HNSCCs). The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 91 head and neck squamous cell carcinoma samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.

2011-10-27 | E-GEOD-25089 | biostudies-arrayexpress

Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: HNSCC

2011-10-28 | GSE25089 | GEO

Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: blood controls

2011-10-28 | GSE25091 | GEO

Global hypomethylation identifies loci targeted for hypermethylation in head and neck cancer: blood controls

Project description:Genome-wide DNA methylation profiling of head and neck squamous cell carcinomas (HNSCCs). The Illumina Infinium 27k Human DNA methylation BeadChip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in fresh-frozen tumor tissues. Samples included 91 tumors from the oralpharynx and larynx, reflecting all stages of disease, 18 normal head and neck National Disease Research Interchange (NDRI) samples, and 213 normal control blood samples. Bisulphite-converted DNA from the 213 control blood samples were hybridized to the Illumina Infinium 27k Human Methylation Beadchip v1.2.

2011-10-27 | E-GEOD-25091 | biostudies-arrayexpress

Cellular states are coupled to genomic and viral heterogeneity in HPV-related oropharyngeal carcinoma

Project description:Head and neck squamous cell carcinoma (HNSCC) includes a large subset of cancers that are driven by the human papilloma virus (HPV) and occur primarily in the oropharynx. Here, we use 10x single cell RNA-seq to profile 70,970 cells from 11 HPV-positive and 5 HPV-negative oropharyngeal tumors in order to uncover diversity in chromosomal aberrations, cellular states and viral gene expression between and within tumors.

2022-11-30 | GSE182227 | GEO

iTRAQ-based quantitative proteomics analysis of human HNSCC cells

Project description:Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer and is major cause of cancer mortality and morbidity. It emerges within oral cavity, lip, tongue, floor of the mouth, nasopharynx, palate, gingival and larynx, is common cancer worldwide especially in Southeast Asia and Southern China. Despite of the advancements in the understanding of the HNSCC as the disease, the 5 year survival rate remains unchanged at 50% since last three decades. Factors such as advanced stage presentation of the patient and consequent delay in diagnosis contributes to the bleak scenario. Thus, therefore there is dire need of useful biomarkers that can predict HNSCC in early stages and can serve as prognostic indicators or targets for treatment. In the present study, We used iTRAQ (isobaric tags for relative and absolute quantitation)-based quantitative proteomic approach followed by liquid chromatography and high resolution tandem mass spectrometry (LC-MS/MS) to identify differential proteins from head and neck cancer cell lines.

2015-01-29 | PXD000737 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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