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Links from GEO DataSets

Items: 18

1.

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

(Submitter supplied) 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
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
43 Samples
Download data: CEL
Series
Accession:
GSE41116
ID:
200041116
2.

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

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array; Expression profiling by array; Non-coding RNA profiling by array
Platforms:
GPL5175 GPL13534 GPL14943
132 Samples
Download data: CEL, TXT
Series
Accession:
GSE41117
ID:
200041117
3.

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

(Submitter supplied) 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
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL14943
43 Samples
Download data: TXT
Series
Accession:
GSE41115
ID:
200041115
4.

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

(Submitter supplied) 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
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
46 Samples
Download data: TXT
Series
Accession:
GSE41114
ID:
200041114
5.

Expression and SNP array data for oral squamous cell carcinoma

(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
Series
Accession:
GSE25104
ID:
200025104
6.

Affymetrix SNP array data for oral squamous cell carcinoma

(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
Series
Accession:
GSE25103
ID:
200025103
7.

Genome wide DNA methylation in oral squamous cell carcinoma (OSCC) disease and adjacent normal tissue samples

(Submitter supplied) Genome wide DNA methylation profiling of normal and adjacent OSCC samples. The Illumina Infinium 450k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 4,50,000 CpGs in tissue samples. Total 21 samples were taken including 10 paired and 1 unpaired tissues. 6 were HPV Positive and 5 were HPV negative.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
21 Samples
Download data: IDAT
Series
Accession:
GSE87053
ID:
200087053
8.

Global analysis of DNA methylation changes during progression of oral tumorigenesis

(Submitter supplied) Objectives: Earlier studies involving a priori gene selection have identified promoter regions deregulated by DNA methylation changes in oral squamous cell cancers (OSCCs) and precancers. Interrogation of global DNA methylation patterns for such specimens has not been reported, though such analyses are needed to uncover novel molecular factors driving disease. Materials and Methods: We evaluated global DNA methylation patterns for 30 biopsies obtained from 10 patients undergoing surgical removal of an OSCC or carcinoma in situ (CIS). more...
Organism:
Homo sapiens
Type:
Methylation profiling by array; Expression profiling by array
Platforms:
GPL6480 GPL8490
60 Samples
Download data: TXT
Series
Accession:
GSE46802
ID:
200046802
9.

Identification of copy number alterations and the associated genes in oral squamous cell carcinoma

(Submitter supplied) Genome-wide profiling of oral squamous cell carcinoma by array-based comparative genomic hybridization
Organism:
Homo sapiens
Type:
Genome variation profiling by array
Platform:
GPL22687
75 Samples
Download data: TXT
Series
Accession:
GSE89924
ID:
200089924
10.

Genomic DNA damage in oral potentially malignant disorders (OPMDs) and oral squamous cell carcinomas (OSCCs). Early detection of DNA aneuploidy and chromosomal aberrations in non dysplastic OPMDs.

(Submitter supplied) Oral potentially malignant disorders (OPMDs) may precede oral squamous cell carcinoma (OSCC). Early detection of OPMDs has a crucial role in OSCC prevention. DNA aneuploidy and chromosomal aberrations are markers of genomic DNA damage and chromosomal instability (CIN), which is involved in cancer development. We explored the relationship among genomic DNA copy number aberrations (CNAs), histological diagnosis and DNA aneuploidy in OPMDs/OSCCs. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platforms:
GPL9075 GPL10150
151 Samples
Download data: TXT
Series
Accession:
GSE66136
ID:
200066136
11.

Analysis of Molecular Alterations in Oral Cell Lines

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below. BACKGROUND: Cell lines have been developed for modeling cancer and cancer progression. The molecular background of these cell lines is often unknown to those using them to model disease behaviors. As molecular alterations are the ultimate drivers of cell phenotypes, having an understanding of the molecular make-up of these systems is critical for understanding the disease biology modeled. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by array
Platforms:
GPL18947 GPL6480
18 Samples
Download data: TXT
Series
Accession:
GSE59407
ID:
200059407
12.

Copy number of oral cell lines [CGH]

(Submitter supplied) Profiling of copy number mutations in commonly used non-cancerous oral cell lines
Organism:
Homo sapiens
Type:
Genome variation profiling by array
Platform:
GPL18947
8 Samples
Download data: TXT
Series
Accession:
GSE59406
ID:
200059406
13.

Analysis of Molecular Alterations in Oral Cell Lines [mRNA]

(Submitter supplied) BACKGROUND: Cell lines have been developed for modeling cancer and cancer progression. The molecular background of these cell lines is often unknown to those using them to model disease behaviors. As molecular alterations are the ultimate drivers of cell phenotypes, having an understanding of the molecular make-up of these systems is critical for understanding the disease biology modeled. METHODS: Six immortalized normal, one immortalized dysplasia, one self-immortalized dysplasia, and two primary normal cell lines derived from oral tissues were analyzed for DNA copy number changes and changes in both mRNA and miRNA expression using SMRT-v.2 genome-wide tiling comparative genomic hybridization arrays, Agilent Whole Genome 4x44k expression arrays, and Exiqon V2.M-RT-PCR microRNA Human panels. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
10 Samples
Download data: TXT
Series
Accession:
GSE59238
ID:
200059238
14.

Comparative analysis of mouse oral cancer cell lines

(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
Series
Accession:
GSE50041
ID:
200050041
15.

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Methylation profiling by genome tiling array
Platforms:
GPL13534 GPL23126 GPL18281
138 Samples
Download data: CEL, IDAT
Series
Accession:
GSE108124
ID:
200108124
16.

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis III

(Submitter supplied) Rationale: Lung carcinoma-in-situ (CIS) lesions are the pre-malignant precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those preinvasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. We performed gene expression microarrays on CIS lesions, with a view to deriving a molecular signature predictive of future progression to invasive cancer.
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
87 Samples
Download data: IDAT, TXT
Series
Accession:
GSE108123
ID:
200108123
17.

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis II

(Submitter supplied) Background: Lung carcinoma-in-situ (CIS) lesions are the pre-invasive precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those pre-invasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. Methods: Progressive and regressive CIS lesions were laser-captured and their genome, epigenome and transcriptome interrogated. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL23126
18 Samples
Download data: CEL
Series
Accession:
GSE108082
ID:
200108082
18.

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis I

(Submitter supplied) Rationale: Lung carcinoma-in-situ (CIS) lesions are the pre-malignant precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those preinvasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. We performed gene expression microarrays on CIS lesions, with a view to deriving a molecular signature predictive of future progression to invasive cancer.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL18281
33 Samples
Download data: TXT
Series
Accession:
GSE94611
ID:
200094611
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