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Links from GEO DataSets

Items: 20

1.
Full record GDS4379

Colorectal cancer tumors

Analysis of primary colorectal cancer (CRC) tumors. CRC is a heterogeneous disease. Results provide insight into stratifying CRC tumor samples into subtypes and tailoring treatments for the CRC subtypes.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 6 disease state, 3 genotype/variation, 5 other sets
Platform:
GPL570
Series:
GSE35896
62 Samples
Download data: CEL
2.

Gene expression data from 62 colorectal cancers

(Submitter supplied) We stratified colorectal tumor samples using a new unsupervised, iterative method based on non-negative matrix factorization (NMF). The resulting five subtypes exhibited activation of specific signaling pathways, and significant differences in microsatellite status and tumor location. We could also align three CRC cell lines panels to these subtypes.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4379
Platform:
GPL570
62 Samples
Download data: CEL
Series
Accession:
GSE35896
ID:
200035896
3.

Gastric Cancer Subtyping (Australian Patient Cohort)

(Submitter supplied) Genome-wide mRNA expression profiles of 70 primary gastric tumors from the Australian patient cohort. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4198
Platform:
GPL570
70 Samples
Download data: CEL
Series
Accession:
GSE35809
ID:
200035809
4.

Gastric cancer subtyping (Singapore Patient Cohort, batch B)

(Submitter supplied) Genome-wide mRNA expression profiles of 56 primary gastric tumors from the Singapore patient cohort, batch B. Like many cancers, gastric adenocarcinomas (gastric cancers) show considerable heterogeneity between patients. Thus, there is intense interest in using gene expression profiles to discover subtypes of gastric cancers with particular biological properties or therapeutic vulnerabilities. Identification of such subtypes could generate insights into the mechanisms of cancer progression or lay the foundation for personalized treatments. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
56 Samples
Download data: CEL, XLS
Series
Accession:
GSE34942
ID:
200034942
5.

Genetic Landscape of Copy Number Alterations in Gastric Cancer

(Submitter supplied) Genome-wide DNA copy number profiling of gastric tumors and matched non-maligant samples. The affymetrix SNP6 array was used to obtain DNA copy number profiles in 193 gastric tumors and 98 matched gastric non-malignant samples.
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL6801
291 Samples
Download data: CEL, CNCHP
Series
Accession:
GSE31168
ID:
200031168
6.

Epigenetic analysis of gastric cancer

(Submitter supplied) Genome-wide DNA methylation profiling of gastric tumors and matched gastric non-malignant samples. The Illumina HumanMethylation27 BeadChip was used to obtain DNA methylation profiles across 27,578 CpGs in 203 gastric tumors and 94 matched non-malignant gastric samples.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL8490
297 Samples
Download data: TXT
Series
Accession:
GSE30601
ID:
200030601
7.

GEMINI (Gastric Encyclopedia of Molecular Interactions and Nodes for Intervention) : 37 unique Gastric cancer cell lines

(Submitter supplied) Genome-wide mRNA expression profiles of 37 unique gastric cancer cell lines (GCCLs). Keywords: gastric cancer, cell culture
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
37 Samples
Download data: CEL
Series
Accession:
GSE22183
ID:
200022183
8.

Gastric Cancer Project '08 (Singapore Patient Cohort)

(Submitter supplied) Genome-wide mRNA expression profiles of 200 primary gastric tumors from the Singapore patient cohort. Gastric cancer (GC) is the second leading cause of global cancer mortality, with individual gastric tumors displaying significant heterogeneity in their deregulation of various oncogenic pathways. We aim to identify major oncogenic pathways in GC that robustly impact patient survival and treatment response. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
200 Samples
Download data: CEL, XLS
Series
Accession:
GSE15459
ID:
200015459
9.
Full record GDS4198

Australian patient cohort: gastric adenocarcinoma

Analysis of 70 primary gastric tumors representing 3 subtypes (invasive, metabolic, and proliferative) from the Australian patient cohort (AU-2). Gastric adenocarcinomas show sizable heterogeneity between patients. Results provide insight into molecular characterization of gastric cancer subtypes.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 3 disease state sets
Platform:
GPL570
Series:
GSE35809
70 Samples
Download data: CEL
DataSet
Accession:
GDS4198
ID:
4198
10.

Full genome expression profiling of primary colorectal cancer (CRC)

(Submitter supplied) Fresh-frozen primary tumor samples from CRC patients were analyzed from their gene expression. Full genome unsupervised clustering identified three intrinsic subtypes that are associated with tumor and clinical characteristics.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16280
188 Samples
Download data: TXT
Series
Accession:
GSE42284
ID:
200042284
11.

Genome Wide Expression Analysis of Middle Eastern Colorectal Cancer Reveals FOXM1 as a Novel Target for Cancer Therapy

(Submitter supplied) In order to identify potential genes that may play an important role in progression of colorectal carcinoma, we screened and validated the global gene expression using cDNA expression array on 36 CRC tissues and compared with 24 non-cancerous colorectal tissue. We investigated the differential expression levels using cDNA microarray technique in a series of 35 CRC and 24 normal samples. FoxM1 was identified as one of the dysregulated genes and was significantly overexpressed in the tumor samples in comparison to the normal samples.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
59 Samples
Download data: CEL, TXT
Series
Accession:
GSE23878
ID:
200023878
12.

Affymetrix SNP array data for NSCLC and CRC

(Submitter supplied) Cancer is a heterogeneous disease caused by genomic aberrations and characterized by significant variability in clinical outcome and response to therapies. Several subtypes of common cancer types have been identified based on alterations of individual cancer genes, such as HER2, EGFR, and others. However, cancer is a complex disease driven by the interaction of multiple genes, so the copy number status of individual genes is not sufficient to define cancer subtypes and predict the response to treatments. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platforms:
GPL2005 GPL2004
762 Samples
Download data: CEL
Series
Accession:
GSE20481
ID:
200020481
13.

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array; Expression profiling by array
Platforms:
GPL16070 GPL570
1048 Samples
Download data: CEL, GPR
Series
Accession:
GSE40967
ID:
200040967
14.

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [CGH]

(Submitter supplied) From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL16070
463 Samples
Download data: GPR, TXT
Series
Accession:
GSE40966
ID:
200040966
15.

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]

(Submitter supplied) From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and 19 non-tumoral colorectal mucosas, and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
585 Samples
Download data: CEL
Series
Accession:
GSE39582
ID:
200039582
16.

Global gene expression profiling of human colorectal cancer cell lines

(Submitter supplied) The development of anticancer drugs relies on preclinical models closely recapitulating the molecular profile observed patients. We report here the transcriptional profiles of 155 stable cell lines derived from colorectal cancer and related tissues. For these lines, also mutational and pharmacological profiles are available, which enables their stratification into clinically relevant subgroups.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
155 Samples
Download data: TXT
Series
Accession:
GSE59857
ID:
200059857
17.

Comprehensive Characterization of 3D Models for Prostate Cancer Growth and Invasion in Laminin-rich Extracellular Matrix

(Submitter supplied) Full title: Comprehensive Characterization of Three-Dimensional Models for Prostate Cancer Growth and Invasion in Laminin-rich Extracellular Matrix Prostate Cancer (PrCa) cells undergo acinar morphogenesis and spheroid formation in three-dimensional (3D) culture, supported by laminin-rich extracellular matrix (lrECM, Matrigel). We developed miniaturized 3D model systems that facilitate investigation of morphogenesis and invasion of normal and PrCa cell lines in lrECM. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6883
54 Samples
Download data: TXT
Series
Accession:
GSE19426
ID:
200019426
18.

Impact of the 3D Microenvironment of Phenotype, Gene Expression, and EGFR Inhibition of Colorectal Cancer Cell Lines

(Submitter supplied) Comparison of gene expression of different colon carcinoma cell lines under 2D and 3D culturing conditions
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL14550
49 Samples
Download data: TXT
Series
Accession:
GSE57446
ID:
200057446
19.

Characterization of microRNA expression in colorectal cancer

(Submitter supplied) MiRNAs have differential expression between normal colon and cancer tissues, and could be targets for CRC therapies and be further developed as potential diagnostic and prognostic analytes. Keywords: classification
Organism:
Homo sapiens; Mus musculus; Rattus norvegicus
Type:
Non-coding RNA profiling by array
Platform:
GPL4411
66 Samples
Download data: TXT
Series
Accession:
GSE10259
ID:
200010259
20.

Gene Expression Patterns that Predict Sensitivity to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Lung Cancer Cell Lines and Human Lung Tumors

(Submitter supplied) Global gene expression data were generated from cultured non small cell lung cancer cell lines (NSCLC), normalized using MAS 5.0, filtered and used to predict response of cells to EGFR inhibition
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
48 Samples
Download data: CEL
Series
Accession:
GSE31625
ID:
200031625
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