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Links from GEO DataSets

Items: 20

1.

Expression data from gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples

(Submitter supplied) To elucidate gene expression associated with copy number changes, we performed a genome-wide copy number and expression microarray analysis of 25 pairs of gastric tissues.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
50 Samples
Download data: CEL
Series
Accession:
GSE33335
ID:
200033335
2.

Cancer Samples vs. Matched Adjacent Noncancerous Samples

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by genome tiling array
Platforms:
GPL5175 GPL9128
77 Samples
Download data: CEL, TXT
Series
Accession:
GSE33429
ID:
200033429
3.

Copy number variation profiling of gastric tissues: Cancer Samples vs. Matched Adjacent Noncancerous Samples

(Submitter supplied) Copy number variation profiling of gastric tissues comparing gastric cancer tissues with matched adjacent noncancerous tissues. Goal was to determine the effects of chromosomal imbalances on gene expression and carcinogenesis or progression.
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL9128
27 Samples
Download data: TXT
Series
Accession:
GSE33428
ID:
200033428
4.

Gastric cancer tumor tissue samples and cell lines vs normal sample

(Submitter supplied) We analyzed DNA copy number alterations in 64 human gastric cancer samples and 8 gastric cancer cell lines using bacterial artificial chromosome (BAC) arrays based comparative genomic hybridisation (aCGH).
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL14846
72 Samples
Download data: TXT
Series
Accession:
GSE33501
ID:
200033501
5.

Gene expression changes in patient-matched gastric normal mucosa, adenomas, and carcinomas

(Submitter supplied) sequential changes in gene expression profiles in the gastric adenoma-carcinoma sequence by analyzing eight patient-matched gastric normal mucosa, adenomas and carcinomas.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10982
26 Samples
Download data: GPR
Series
Accession:
GSE24375
ID:
200024375
6.

Intratumoral genomic heterogeneity in submucosal-invasive gastric cancer

(Submitter supplied) In this study, we investigated CNAs of 59 tumor samples from 27 patients with submucosal-invasive gastric cancers (SMGC) by 44k oligonucleotide-based array comparative genomic hybridization (array CGH).
Organism:
Homo sapiens
Type:
Genome variation profiling by array; Genome variation profiling by genome tiling array
Platform:
GPL8841
59 Samples
Download data: TXT
Series
Accession:
GSE26800
ID:
200026800
7.

Genome-wide analysis of gene expression and DNA copy number variations in small cell esophageal carcinoma

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by genome tiling array
Platforms:
GPL570 GPL10123
9 Samples
Download data: CEL, TXT
Series
Accession:
GSE111299
ID:
200111299
8.

aCGH data from SCEC and corresponding normal samples

(Submitter supplied) Primary SCEC is a rare malignancy without established treatment strategy. Although previous studies suggested that there were similarities between SCEC and SCLC in clinical manifestation and pathological morphology, genetic studies on this highly malignant tumour remains sparse. This study was designed to investigate the copy number variations (CNVs) of SCEC.
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL10123
3 Samples
Download data: TXT
Series
Accession:
GSE111298
ID:
200111298
9.

Expression data from SCEC and corresponding normal samples

(Submitter supplied) Primary SCEC is a rare malignancy without established treatment strategy. Although previous studies suggested that there were similarities between SCEC and SCLC in clinical manifestation and pathological morphology, genetic studies on this highly malignant tumour remained sparse. This study was designed to investigate the gene expression profile of SCEC, and compare it with the known expression data of SCLC and EC.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
6 Samples
Download data: CEL
Series
Accession:
GSE111044
ID:
200111044
10.

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma.

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Methylation profiling by array; Genome variation profiling by SNP array
Platforms:
GPL6102 GPL8490 GPL6801
69 Samples
Download data: CEL, CHP
Series
Accession:
GSE36004
ID:
200036004
11.

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma [DNA copy number]

(Submitter supplied) Osteosarcomas are the most common primary malignant tumours of bone, and almost all conventional osteosarcomas are high-grade tumours showing complex genomic aberrations. We have integrated genome-wide genetic and epigenetic profiles from the EuroBoNeT panel of 19 human osteosarcoma cell lines based on microarray technologies. The cell lines showed complex patterns of DNA copy number changes, where copy number gains were significantly associated with gene-rich regions of the genome and losses with gene-poor areas. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL6801
19 Samples
Download data: CEL, CHP
Series
Accession:
GSE36003
ID:
200036003
12.

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma [methylation]

(Submitter supplied) Osteosarcomas are the most common primary malignant tumours of bone, and almost all conventional osteosarcomas are high-grade tumours showing complex genomic aberrations. We have integrated genome-wide genetic and epigenetic profiles from the EuroBoNeT panel of 19 human osteosarcoma cell lines based on microarray technologies. The cell lines showed complex patterns of DNA copy number changes, where copy number gains were significantly associated with gene-rich regions of the genome and losses with gene-poor areas. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL8490
25 Samples
Download data: TXT
Series
Accession:
GSE36002
ID:
200036002
13.

Integrative analysis reveals relationships of genetic and epigenetic alterations in osteosarcoma [gene expression]

(Submitter supplied) Osteosarcomas are the most common primary malignant tumours of bone, and almost all conventional osteosarcomas are high-grade tumours showing complex genomic aberrations. We have integrated genome-wide genetic and epigenetic profiles from the EuroBoNeT panel of 19 human osteosarcoma cell lines based on microarray technologies. The cell lines showed complex patterns of DNA copy number changes, where copy number gains were significantly associated with gene-rich regions of the genome and losses with gene-poor areas. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6102
25 Samples
Download data: TXT
Series
Accession:
GSE36001
ID:
200036001
14.

Microarray gene expresion analysis for early and advanced gastric adenocarcinoma vs normal adjacent tissue.

(Submitter supplied) The study aimed to understand gradual biological variations during gastric tumorigenesis, and to identify the candidate genes that are involved in tumor progression and metastasis. cDNA microarray data were obtained from 10 pair of cancerous and normal adjacent tissue from gastric adenocarcinoma patients. As a results, we found that 136 genes were up-regulated and 96 genes were down-regulated by at least four-fold in tumor tissue. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4133
19 Samples
Download data: TXT, XLS
Series
Accession:
GSE103236
ID:
200103236
15.

Gene Expression Profiling of Oral Squamous Cell Carcinoma

(Submitter supplied) 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.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
32 Samples
Download data: TXT
Series
Accession:
GSE23558
ID:
200023558
16.

Gene expression profiling of gastric early-stage carcinoma and precancerous lesions

(Submitter supplied) To investigated the molecular distinction and functional correlation among different histopathological types of gastric neoplasia, the whole genome expression profiling of gastric early-stage carcinoma(EGC) and high-grade and low-grade intraepithelial neoplasia (HGIN and LGIN) were explored. This research will provide biological evidence for the clinical application in different gastric early-stage neoplasia.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
77 Samples
Download data: TXT
Series
Accession:
GSE55696
ID:
200055696
17.

High-resolution genomic profiling of disseminated tumor cells in prostate cancer

(Submitter supplied) Circulating (CTCs) and disseminated (DTCs) tumor cells are of great interest to the field of cancer research as they provide a minimally-invasive window for assessing aspects of cancer biology including tumor heterogeneity, a means to discover biomarkers of disease behavior, and a way to identify and prioritize therapeutic targets in the emerging era of precision oncology. However, the rarity of CTC/DTC poses a significant challenge to the consistent success in analyzing the molecular features of these cells including genomic aberrations. more...
Organism:
Homo sapiens
Type:
SNP genotyping by SNP array; Genome variation profiling by SNP array
Platform:
GPL13829
8 Samples
Download data: TXT
Series
Accession:
GSE73180
ID:
200073180
18.

Transcriptome analysis on gastric cancer

(Submitter supplied) Reliable identification of cancer markers can have substantial implications to early detection of cancer. We report here an integrated computational and experimental study on identification of gastric cancer markers in patients’ tissue and sera based on (i) genome-scale transcriptomic analyses on 80 paired gastric cancer/reference tissues, with the aim of identifying abnormally expressed genes at various subtypes/stages of gastric carcinoma (ii) a computational identification of differentially expressed genes that may have their proteins secreted into blood circulation, followed by experimental validations.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5175
160 Samples
Download data: CEL
Series
Accession:
GSE27342
ID:
200027342
19.

Gastric Cancer Gene Expression Profiling

(Submitter supplied) This series studied the patterns of gene expression among different types of gastric tumors. Gastric tumors and adjacent non-tumor normal tissues were obtained from 50 gastric cancer patients of diverse stages (IA, IB, II, IIIA, IIIB, and IV), tumor types (intestinal, diffuse, or mixed), and degree of tumor differentiation (moderately or poorly differentiated). Keywords: Cancer patient samples
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2912
99 Samples
Download data
Series
Accession:
GSE3438
ID:
200003438
20.

Competitive RNA Pair Controls Gastric Cancer Metastasis by Regulating EphrinA1 Translation

(Submitter supplied) EphrinA1 overexpression-induced gene signature was significantly enriched in the cells with high expression of GMAN
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13497
3 Samples
Download data: TXT
Series
Accession:
GSE109271
ID:
200109271
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