A Modular Analysis of Breast Cancer Reveals a Novel Low-Grade Molecular Signature in Estrogen Receptor-Positive Tumors
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE2294 | GEO | 2006/02/18
SECONDARY ACCESSION(S): PRJNA91669
REPOSITORIES: GEO
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Project description:Primary human breast tumors were obtained from the National Cancer Centre of Singapore (NCC) Tissue Repository, after appropriate approvals from the NCC Repository and Ethics Committees. Profiled samples contained at least 50% tumor content.
2008-06-12 | E-GEOD-2294 | biostudies-arrayexpress
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
Project description:Genome-wide mRNA 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 Agilent two-color whole human genome gene expression microarray (design G4112F). 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-62043 | biostudies-arrayexpress
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:Successful carcinogenesis involves the integration of both pro- and anti-oncogenic pathways. We postulated that genes critical for balancing these opposing pathways are likely to be precisely controlled in tumors, since even subtle alterations in their activity might cause substantial alterations in tumor growth and survival. Using a novel genomic approach, we identified a 48-gene âPoised Gene Cassetteâ (PGC) showing tight regulation specifically in human cancers but not in corresponding nonmalignant tissues. We show, using a wide variety of in vitro and in vivo approaches, that small alterations in PGC expression are consistently associated with significant differences in experimental metastasis and patient survival, and we demonstrate a direct functional role for five PGC genes (p53CSV, MAP3K11, MTCH2, CPSF6 and SKIP) in cancer invasion. Our findings support the existence of a novel class of ultrasensitive genes that may regulate various cancer-associated phenotypes such as metastasis. Such precisely controlled genes could represent appealing drug targets, since even partial alterations in their activity should prove sufficient to induce potent effects on tumors. Besides cancer, our analytical approach is quite generalizable and likely to be applicable to other disease conditions. Experiment Overall Design: Primary human tumor and adjacent normal tissues were obtained from the Tissue Repository of the National Cancer Centre of Singapore (NCCS). Appropriate institutional approvals were obtained from the NCCS Tissue Repository and Ethics Committees. In the operating theater, morphologically visible tumor and adjacent matched normal tissues were removed by surgery and examined by a surgical pathologist to confirm the presence of cancer cells by cryosections. The tissue samples were divided into discrete aliquots, flash frozen and subsequently stored in liquid nitrogen. The detailed information regarding samples is available in Supplementary Information S1. The training set used in this study comprises 341 samples (270 tumors and 71 matched normals) from patients with breast, colon, liver, lung, oesophagal and thyroid cancer (Tissue Type/Tumor/Normal : Lung/18/12, Thyroid/35/16, Liver/9/8, Oesophagus/16/13, Colon/9/9, Breast/183/13.)
2008-10-18 | E-GEOD-5364 | biostudies-arrayexpress
Project description:We investigated the involvement of microRNAs (miRNAs) in gastric cancers. MiRNA expression was profiled from 40 cancerous and 40 non-cancerous tissues obtained from the National Cancer Centre, Singapore, and Singhealth Tissue Repository, Singapore. We identified 80 differentially expressed miRNAs in tumors compared with normal tissues. Among these miRNAs, we identified hsa-mir-486-5p (mir-486) as a significantly downregulated miRNA in GC. Subsequent functional characterization revealed that mir-486 playing a tumor suppressor role. We also observed frequent genomic deletion of mir-486 in 20-30% of GCs. To our knowledge, mir-486 represents one of the first tumor suppressor miRNAs in GC inactivated through genomic deletion.
2011-08-01 | GSE23739 | GEO
Project description:We investigated the involvement of microRNAs (miRNAs) in gastric cancers. MiRNA expression was profiled from 40 cancerous and 40 non-cancerous tissues obtained from the National Cancer Centre, Singapore, and Singhealth Tissue Repository, Singapore. We identified 80 differentially expressed miRNAs in tumors compared with normal tissues. Among these miRNAs, we identified hsa-mir-486-5p (mir-486) as a significantly downregulated miRNA in GC. Subsequent functional characterization revealed that mir-486 playing a tumor suppressor role. We also observed frequent genomic deletion of mir-486 in 20-30% of GCs. To our knowledge, mir-486 represents one of the first tumor suppressor miRNAs in GC inactivated through genomic deletion. MiRNA expression was profiled on Agilent Human miRNA Microarrays (V2) representing 723 human and 76 human viral miRNAs in 40 normal and 40 cancerous gastric tissues.
2011-08-01 | E-GEOD-23739 | biostudies-arrayexpress
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:Frozen tissue specimens from primary breast tumors were collected under approved protocols and profiled using Affymetrix U133 series expression microarrays. This cohort was assembled at the National University Hospital (NUH), Singapore in 2003, and profiled at the Genome Institute of Singapore, Microarray and Expression Genomics Lab. Dr. Lance D. Miller (Wake Forest University School of medicine) directed the profiling work. A publication describing the generation of these data is not yet available. However, these data can be used alongside other Affymetrix breast tumour data sets to form large meta-cohorts for breast cancer research, as was done in Lasham et. al. J Natl Cancer Inst. 2012 Jan 18;104(2):133-146.
2012-03-31 | GSE36772 | GEO
Project description:Frozen tissue specimens from primary breast tumors were collected under approved protocols and profiled using Affymetrix U133 series expression microarrays. This cohort was assembled at the National University Hospital (NUH), Singapore in 2003, and profiled at the Genome Institute of Singapore, Microarray and Expression Genomics Lab. Dr. Lance D. Miller (Wake Forest University School of medicine) directed the profiling work. A publication describing the generation of these data is not yet available. However, these data can be used alongside other Affymetrix breast tumour data sets to form large meta-cohorts for breast cancer research, as was done in Lasham et. al. J Natl Cancer Inst. 2012 Jan 18;104(2):133-146. Frozen tumor tissues comprising of >60% tumor cellularity were extracted for total RNA and hybridized on Affymetrix microarrays. Clinical data was requested, but not provided by submitter
2012-03-30 | E-GEOD-36772 | biostudies-arrayexpress