GEO DataSets

Analysis of oral carcinoma, histologically normal margins, and adjacent normal tissues from patients with squamous cell carcinoma (OSCC) of the tongue (training set). Results provide insight into molecular signature in histologically normal margins that is predictive of oral carcinoma recurrence.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 24 individual, 2 specimen, 20 tissue sets

Platform:

GPL10526

Series:

GSE31056

96 Samples

Download data: CEL

(Submitter supplied) Samples were prospectively collected from patients with histologically normal surgical resection margins. 96 tissue samples (histologically normal margins, oral carcinoma and adjacent normal tissues) from 24 patients comprised the training set. Our study design was guided by the hypothesis that the expression of genes present in oral squamous cell carcinoma (OSCC) but not in healthy oral tissues would be indicative of recurrence in advance of histological alteration. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4562

Platform:

GPL10526

96 Samples

Download data: CEL

(Submitter supplied) OSCC is associated with substantial mortality and morbidity. To identify potential biomarkers for the early detection of invasive OSCC, we compared the gene expressions of OSCC, oral dysplasia, and normal oral tissue from patients without oral cancer or preneoplastic oral lesions (controls). Results provided models of gene expression to distinguish OSCC from controls.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

229 Samples

Download data: CEL

(Submitter supplied) Oral Cavity Cancer

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

103 Samples

Download data: CEL

(Submitter supplied) OSCC is associated with substantial mortality and morbidity. In this study, we built on our previous molecular work to identify and validate a prognostic 13-gene signature that showed a higher ability than tumor stage in predicting survival for patients with HPV-negative oral squamous cell carcinoma (OSCC).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

97 Samples

Download data: CEL

(Submitter supplied) The present study is aimed at profiling the miRNA expression pattern in oral squamous cell carcinoma (OSCC) and adjacent oral mucosa to develop a new miRNA signature for oral cancer. Agilent Human miRNA Microarray v2.0 (G4470B, Agilent Technologies) was used to identify miRNAs differentially expressed in OSCC. MicroRNA processing was carried out according to the manufacturer’s instructions. Hybridized microarrays were scanned with a DNA microarray scanner (Agilent G2565BA) and features were extracted using the Agilent Feature Extraction (AFE) image analysis tool (version A.9.5.3) with default protocols and settings. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL8227

48 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array

Platforms:

GPL5175 GPL6801

201 Samples

Download data: CEL, CHP

(Submitter supplied) In order to identify biomarkers that contribute to genetic causes of OSCC, we attempt to identify copy number variation regions (CNV) in patients with OSCC. We identified and confirmed the clinical significance of amplification regions scattered from 8q22.2 to 8q24.3.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL6801

122 Samples

Download data: CEL, CHP, TXT

(Submitter supplied) Validation of a previously established gene expression profile for detection of lymph node metastasis (ArrayExpress E-UMCU-11).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL13952 GPL13953

316 Samples

Download data: TXT

(Submitter supplied) Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1062

Platform:

GPL96

27 Samples

Download data: CEL

Expression profiling of 18 primary squamous cell carcinomas of the oral cavity with or without lymph node metastasis. Expression in lymph node metastasis also examined. Results used to identify gene expression signature in primary tumors that indicates the presence of lymph node metastasis.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state, 2 tissue sets

Platform:

GPL96

Series:

GSE2280

27 Samples

Download data: CEL

(Submitter supplied) One hundred and seven lung Squamous Cell Carcinomas collected from early stage (stage I+II; AJCC 7th edition) patients at the National Cancer Center Hospital (Tokyo, Japan) between 1997 and 2008 were hybridized to the Human Transcriptome (HT) Array 2.0

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

107 Samples

Download data: CEL

(Submitter supplied) In order to aid the development of patient-tailored diagnostics and therapeutics, we attempted to identify a genetic signature associated with disease prognosis in OSCC. A genome-wide analysis of transcription with the Affymetrix GeneChip Human Gene 1.0 ST Array was conducted. In this dataset, we include the expression data obtained from 57 specimens from patients with OSCC and 22 oral tissues from normal persons.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

79 Samples

Download data: CEL

(Submitter supplied) A comparative microarray analysis of indolent or aggressive mouse oral cancer cell lines was performed to identify gene expression signatures and specific molecules involved in aggressive tumor growth.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6885

24 Samples

Download data: TXT