Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-51704
PROVIDER: PRJNA122965 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series:; GSE15455: GEMINI (Gastric Encyclopedia of Molecular Interactions and Nodes for Intervention) Phases A-C; GSE15456: Primary Gastric Cancer Expression Profiles (UK Patient Cohort); GSE15459: Gastric Cancer Project '08 (Singapore Patient Cohort); GSE15537: GEMINI (Gastric Encyclopedia of Molecular Interactions and Nodes for Intervention) Phases A-C, normal skin fibroblasts Experiment Overall Design: Refer to individual Series
2009-04-10 | E-GEOD-15460 | biostudies-arrayexpress
Project description:Gastric cancer subtyping (Singapore Patient Cohort, batch B)
| PRJNA150983 | ENA
Project description:Gastric Cancer Subtyping (Australian Patient Cohort)
| PRJNA152559 | ENA
Project description: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. Here we report a robust gene-expression-based clustering of a large collection of gastric adenocarcinomas (with GSE15459) from Singaporean patients. Profiling of 56 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from the National Cancer Centre, Singapore; the Research Ethics Review Committee; and signed patient informed consent.
2014-09-05 | E-GEOD-34942 | biostudies-arrayexpress
Project description:Primary Gastric Cancer Expression Profiles (UK Patient Cohort)
| PRJNA122979 | ENA
Project description: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. Here we report a robust gene-expression-based clustering of a large collection of gastric adenocarcinomas (with GSE15459) from Singaporean patients.
2014-09-05 | GSE34942 | GEO
Project description: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. We used an in silico strategy based on gene expression signatures and connectivity analytics to map patterns of oncogenic pathway activation in 25 unique GC cell lines, and in 301 primary gastric cancers from three independent patient cohorts. Of 11 oncogenic pathways previously implicated in GC, we identified three predominant pathways (proliferation/stem cell, NF-kB, and Wnt/b-catenin) deregulated in the majority (>70%) of gastric tumors. Using a variety of proliferative, Wnt, and NF-kB-related assays, we experimentally validated the pathway predictions in multiple GC cell lines showing similar pathway activation patterns in vitro. Patients stratified at the level of individual pathways did not exhibit consistent differences in clinical outcome. However, patients grouped by oncogenic pathway combinations demonstrated robust and significant survival differences (e.g., high proliferation/high NF-kB vs. low proliferation/low NF-kB), suggesting that tumor behavior in GC is likely influenced by the combined effects of multiple oncogenic pathways. Our results demonstrate that GCs can be successfully taxonomized by oncogenic pathway activity into biologically and clinically relevant subgroups. Experiment Overall Design: Profiling of 200 primary gastric tumors on Affymetrix GeneChip Human Genome U133 Plus 2.0 Array. All tumors were collected with approvals from the National Cancer Centre, Singapore; the Research Ethics Review Committee; and signed patient informed consent.
2009-04-10 | E-GEOD-15459 | biostudies-arrayexpress
Project description:A Cartes d'Identite des Tumeurs (CIT) project from the French National League Against Cancer (http://cit.ligue-cancer.net ) 25 glioblastoma multiforme tumors hybridized on Illumina SNP and Affymetrix gene expression arrays. Project leader : François DUCRAY (francois.ducray@chu-lyon.fr). CIT Analysis : Julien LAFFAIRE (laffairej@ligue-cancer.net). Note: PFS : progression-free survival, OS: Overall Survival,BCNU : Carmustine (chemotherapy agent). RESPONDER: if the patient has shown or not shown a response to the treatment (Bevacizumab (Avastin) plus Irinotecan). Progression during : If the disease has progressed (cancer relapse or patient's death); otherwise (patient is alive without relapse).
2013-01-15 | E-MTAB-951 | biostudies-arrayexpress
Project description:A Low-cost Multiplex Biomarker Assay Stratifies Colorectal Cancer Patient Samples into Clinically-relevant Subtypes: Singapore Cohort RNA-seq
| PRJNA394898 | ENA
Project description:Genome-wide miRNA expression profiles of 100 primary and matched non-malignant tissues of HCC patients from a Singapore patient cohort. HCC is a hetergenous disease and it is important to understand the underlying molecular mechanisms. Here, we studied the role of microRNAs in HCC by integrating microRNA and gene expression profiles of HCC patients. Profiling of 100 primary and adjacent non-malignant HCC tissue samples on mirXplore two-color miRNA expression microarray. All tissues were collected with approvals from the National Cancer Centre, Singapore; the Research Ethics Review Committee; and signed patient informed consent.
2016-02-18 | E-GEOD-62007 | biostudies-arrayexpress