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GSE68950
Homo sapiens
744 Downloadable Samples
Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
The microarray gene expression pattern was studied using 798 different cancer cell lines. The cancer cell lines are obtained from different centers. Annotation information were provided in the supplementary file.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 696 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Subject
View Samples- Homo sapiens
- 577 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This is Rembrandt gene expression data (Affymetrix HG-U133Plus2).
Publication Title
Rembrandt: helping personalized medicine become a reality through integrative translational research.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 527 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
TCGA Analysis of RNA Expression for Ovarian Serous Cystadenocarcinoma Using Affymetrix HT_HG-U133A
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 525 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
TCGA Analysis of RNA Expression for Glioblastoma Multiforme Using Affymetrix HT_HG-U133A
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 516 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
breast cancer
Publication Title
No associated publication
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 444 Downloadable Samples
- Affymetrix Human Genome U95A Array (hgu95a)
Description
The incidence of prostate cancer is frequent, occurring in almost one-third of men older than 45 years. Only a fraction of the cases reach the stages displaying clinical significance. Despite the advances in our understanding of prostate carcinogenesis and disease progression, our knowledge of this disease is still fragmented. Identification of the genes and patterns of gene expression will provide a more cohesive picture of prostate cancer biology. PATIENTS AND METHODS: In this study, we performed a comprehensive gene expression analysis on 152 human samples including prostate cancer tissues, prostate tissues adjacent to tumor, and organ donor prostate tissues, obtained from men of various ages, using the Affymetrix (Santa Clara, CA) U95a, U95b, and U95c chip sets (37,777 genes and expression sequence tags). RESULTS: Our results confirm an alteration of gene expression in prostate cancer when comparing with nontumor adjacent prostate tissues. However, our study also indicates that the gene expression pattern in tissues adjacent to cancer is so substantially altered that it resembles a cancer field effect. CONCLUSION: We also found that gene expression patterns can be used to predict the aggressiveness of prostate cancer using a novel model.
Publication Title
Gene expression alterations in prostate cancer predicting tumor aggression and preceding development of malignancy.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 274 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This experiment comprises 283 CEL files generated on the Affymetrix U133 Plus 2.0 gene expression microarray platform, using patient peripheral blood and bone marrow samples from the first cohort of patients accrued to Children's Oncology Group Study AALL0232. No clinical covariate data is provided at this time as the clinical study is not yet published. Researchers who would like to request outcome or other covariate data are asked to contact Dr. Cheryl Willman, cwillman@unm.edu, 505.272.5622 (University of New Mexico) and Dr. Steven Hunger, Stephen.Hunger@childrenscolorado.org (Children's Oncology Group and Children's Hospital Colorado) to arrange a collaboration.
Publication Title
Tyrosine kinome sequencing of pediatric acute lymphoblastic leukemia: a report from the Children's Oncology Group TARGET Project.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 252 Downloadable Samples
- Affymetrix Human Genome U95 Version 2 Array (hgu95av2)
Description
Affymetrix HG_U95Av2 oligonucleotide microarrays were used to perform gene expression profiling of 254 cases of pediatric ALL in order to determine genes predictive of outcome that may be useful in refining risk classification.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 254 Downloadable Samples
- Affymetrix Human Genome U95 Version 2 Array (hgu95av2)
Description
We have generated a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, we analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct subclasses of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.
Publication Title
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples