Transcription profiling of human glioma tumor samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Sun L
PROVIDER: S-ECPF-GEOD-4290 | biostudies-other | 2006 Apr
REPOSITORIES: biostudies-other
Similar Datasets
Project description:mRNA expression data were collected from patients with brain tumor to improve diagnostic of gliomas on molecular level.
2007-06-24 | E-GEOD-4290 | biostudies-arrayexpress
Project description: Not available
| S-EPMC4570193 | biostudies-literature
Project description: Not available
| S-ECPF-TABM-898 | biostudies-other
Project description:We used microarrays to determine the gene expression profile of different types of glioma Experiment Overall Design: Histologically identified glioma-subtypes were selected for RNA extraction and hybridization on Affymetrix microarrays (HG-U95A)
2008-10-25 | E-GEOD-12657 | biostudies-arrayexpress
Project description:Esophageal cancer is among the 10 most common malignancies and ranks as the 6th leading cause of death from cancer. It constitutes 7% of all gastrointestinal cancers and is one of the most lethal of all cancers. The large variation in the incidence of esophageal cancer in different geographic regions has often been thought to be due to variation in exposure to environmental factors; however, hereditary factors may also contribute to the variation in rates. A positive family history was found to be associated with an increased risk of esophageal cancer in several case-control and cohort studies in China. Familial aggregation also has been observed in Iran and Japan. The cancer data generated from six hospital based cancer registries in India under National Cancer Registry Programme (NCRP, Annual Report, 2003-2004) has revealed that the occurrence of esophageal cancer in Assam is highest in India. The aggregation of esophageal cancer in families is a long-observed and well-documented phenomenon in Assam of North-east part of India (AAR=32.6). In Assam high incidence of esophageal cancer with familial aggregation need investigation for etiology. The etiology of esophageal cancer in Northeast Indian population is different from other population at India due to wide variations in dietary habits or nutritional factors, tobacco chewing and alcohol habits. With in these high-risk regions, studies have shown a strong tendency toward familial aggregation, suggesting that genetic susceptibility, in conjunction with potential environmental exposures, may be involved in the etiology of esophageal cancer. Familial clustering of cancer has been one of the main avenues to the understanding of cancer etiology and the signal to the involvement of heritable genes. Familial clustering of cancer may be due to environmental factors shared by family members or due to shared genes. However, the familial aggregation of esophageal cancer among the population in northeast India may reflect the influence of environmental factors operating on individuals who are already genetically susceptible. Epidemiological studies indicate that tobacco smoking and alcohol consumption are the major factors for esophageal cancer, the role of genetic factors for familial aggregation has not been elucidated. In this study, tumor and matched normal tissue from esophageal squamous cell carcinoma patients with a family history of upper gastrointestinal cancer were analyzed using cDNA microarray containing 10,000genes to evaluate gene expression differences in esophageal squamous cell carcinoma patients with a family history of upper gastrointestinal cancer from a high- risk area in India. To identify alteration in genes and molecular functional pathways in esophageal cancer in a high incidence region of India where there is wide spread use of tobacco and betel quid with fermented areca nuts and familial aggregation cancer. Keywords: Gene Expression
2008-02-09 | GSE10127 | GEO
Project description: Not available
| S-EPMC1184060 | biostudies-literature
Project description:Background: Signaling by receptor tyrosine kinases (RTK) is frequently dysregulated in gliomas. Inter-individual variability in the causes for dysregulated RTK signaling may have hampered the efficacy of targeted therapies. Using gene expression modules around key regulators in the RAS-RAF-MEK-MAPK cascade and in the phosphatidylinositol 3-kinase-AKT pathways, we developed a “RMPA” clustering scheme to distinguish gliomas with varying extents of RTK signaling. Results: We identified gene modules consistently co-expressed with NF1 (NF1-M), Sprouty (SPRY-M) and PTEN (PTEN-M) in gliomas. Their signatures enabled robust clustering of adult diffuse gliomas of WHO grades II-IV into RMPAhigh and RMPAlow phenotypes in a morphology-independent manner. In five independent data sets from three continents containing more than 1500 adult diffuse gliomas, RMPAhigh gliomas were associated with poor prognosis while RMPAlow gliomas were not. The RMPAhigh and RMPAlow glioma subtypes showed distinct levels of the activities of RAS-RAF-MEK-MAPK cascade and PI3K-AKT pathway and harbored unique sets of genomic alterations in the RTK signaling-related genes. The RMPAhigh gliomas contained large numbers of immature vessel cells and tumor associated macrophages and both cell types expressed high levels of pro-angiogenic RTKs including MET, VEGFR1, KDR, EPHB4 and NRP1. Conclusion: Inter-glioma variability in RTK signaling activities can be defined using the RMPA clustering scheme. The combined signatures of NF1-M, SPRY-M and PTEN-M reflect RTK signaling activity both in the glioma cells and in the glioma microenvironment. Our data show that RTK signaling in the glioma microenvironment may play a pivotal role in glioma progression.
2015-10-30 | GSE74462 | GEO
Project description: Not available
| S-ECPF-GEOD-4780 | biostudies-other
Project description:This is a feasibility study to look for genetic alterations in tissue and blood samples that may be useful in determining what treatments may be useful in the patient’s cancer care.
| 2133331 | ecrin-mdr-crc
Project description:We used microarrays to determine the gene expression profile of different types of glioma Keywords: Disease state analysis
2008-09-09 | GSE12657 | GEO