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Links from GEO DataSets

Items: 20

1.

TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer

(Submitter supplied) Background: Gene expression profiling of breast carcinomas has increased our understanding of the heterogeneous biology of this disease and promises to impact clinical care. The aim of this study was to evaluate the prognostic value of gene expression-based classification along with established prognostic markers and mutation status of the TP53 gene, in a group of breast cancer patients with long-term (12-16 years) follow-up. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
5 related Platforms
81 Samples
Download data
Series
Accession:
GSE40954
ID:
200040954
2.

DNA methylation profiling in the Carolina Breast Cancer Study

(Submitter supplied) A microarray targeting promoters of cancer-related genes was used to evaluate DNA methylation at 935 CpG sites in 517 invasive breast tumors from the Carolina Breast Cancer Study (CBCS), a population-based study of invasive breast cancer. Concensus clustering using methylation (β) values for the 167 most variant CpG loci defined 4 clusters differing most distinctly in hormone receptor (HR) status, intrinsic subtype (luminal versus basal-like) and p53 mutation status. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL9183
526 Samples
Download data: TXT
Series
Accession:
GSE51557
ID:
200051557
3.

An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival

(Submitter supplied) The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL97 GPL96
502 Samples
Download data: CEL
Series
Accession:
GSE3494
ID:
200003494
4.

Human breast tumor

(Submitter supplied) subpopulation of breat cancer using gene expression data and clinical data Keywords: breast cancer survival and metastasis analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2567
311 Samples
Download data
Series
Accession:
GSE2845
ID:
200002845
5.

Building Prognostic Models for Breast Cancer Patients Using Clinical Variables and Gene Expression Signatures

(Submitter supplied) Our findings indicate that the integration of expression signatures and clinicopathological factors can better determine the individual risk of recurrence for newly diagnosed patients with lymph-node negative ER-positive breast cancer. Models incorporating other variables yet to be discovered will be needed to obtain robust prognostic models for ER-negative and HER2-positive breast cancer patients.
Organism:
Homo sapiens
Type:
Expression profiling by array
4 related Platforms
42 Samples
Download data
Series
Accession:
GSE15393
ID:
200015393
6.

Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [normal tissue]

(Submitter supplied) Gastric cancer, a leading cause of cancer-related deaths, is a heterogeneous disease, with little consensus on molecular subclasses and their clinical relevance. We describe four molecular subtypes linked with distinct patterns of molecular alterations, disease progression and prognosis viz. a) Microsatellite Instable: hypermutated intestinal subtype tumors occurring in antrum, best overall prognosis, lower frequency of recurrence (22%), with liver metastasis in 23% of recurred cases; b) Mesenchymal-like: diffuse tumors with worst prognosis, a tendency to occur at an earlier age and highest recurrence (63%) with peritoneal seeding in 64% of recurred cases, low frequency of molecular alterations; c) TP53-inactive with TP53 loss, presence of focal amplifications and chromosomal instability; and d) TP53-active marked by EBV infection and PIK3CA mutations. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
100 Samples
Download data: CEL
Series
Accession:
GSE66222
ID:
200066222
7.

Affymetrix SNP 6.0 array data for ACRG Gastric Cancer Study

(Submitter supplied) Gastric cancer, a leading cause of cancer related deaths, is a heterogeneous disease, with little consensus on molecular subclasses and their clinical relevance. We describe four molecular subtypes linked with distinct patterns of molecular alterations, disease progression and prognosis via: a) Microsatellite Instable: hypermutated intestinal subtype tumors occurring in antrum, best overall prognosis, lower frequency of recurrence (22%), with liver metastasis in 23% of recurred cases; b) Mesenchymal-like: diffuse tumors with worst prognosis, a tendency to occur at an earlier age and highest recurrence (63%) with peritoneal seeding in 64% of recurred cases, low frequency of molecular alterations; c) TP53-inactive with TP53 loss, presence of focal amplifications and chromosomal instability; d) TP53-active marked by EBV infection and PIK3CA mutations. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL6801
284 Samples
Download data: CEL, CSV, TSV, TXT
Series
Accession:
GSE62717
ID:
200062717
8.

Molecular analysis of gastric cancer identifies discrete subtypes associated with distinct clinical characteristics and survival outcomes: the ACRG (Asian Cancer Research Group) study [gastric tumors]

(Submitter supplied) Gastric cancer, a leading cause of cancer related deaths, is a heterogeneous disease, with little consensus on molecular subclasses and their clinical relevance. We describe four molecular subtypes linked with distinct patterns of molecular alterations, disease progression and prognosis viz. a) Microsatellite Instable: hypermutated intestinal subtype tumors occurring in antrum, best overall prognosis, lower frequency of recurrence (22%), with liver metastasis in 23% of recurred cases b) Mesenchymal-like: diffuse tumors with worst prognosis, a tendency to occur at an earlier age and highest recurrence (63%) with peritoneal seeding in 64% of recurred cases, low frequency of molecular alterations c) TP53-inactive with TP53 loss, presence of focal amplifications and chromosomal instability d) TP53-active marked by EBV infection and PIK3CA mutations. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
300 Samples
Download data: CEL
Series
Accession:
GSE62254
ID:
200062254
9.

Breast Tumor Clinical Implications

(Submitter supplied) The purpose of this study was to explore the possibility of classifying breast carcinomas based upon variations in gene expression patterns derived from cDNA microarrays, and to correlate tumor characteristics to clinical outcome. A total of 85 cDNA microarray experiments representing tumor and normal breast tissues from 78 individuals were analyzed by hierarchical-clustering. As reported previously, we identified a basal epithelial-like group, an ERBB2-overexpressing group and a normal breast-like group based on variations in gene expression. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
4 related Platforms
85 Samples
Download data
Series
Accession:
GSE3193
ID:
200003193
10.

Repeated observation of breast tumor subtypes in independent gene expression data sets

(Submitter supplied) Abstract: Characteristic patterns of gene expression measured by DNA microarrays have been used to classify tumors into clinically relevant subgroups. In this study, we have refined the previously defined subtypes of breast tumors that could be distinguished by their distinct patterns of gene expression. A total of 115 malignant breast tumors were analyzed by hierarchical clustering based on patterns of expression of 534 "intrinsic" genes and shown to subdivide into one basal-like, one ERBB2-overexpressing, two luminal-like, and one normal breast tissue-like subgroup. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
8 related Platforms
167 Samples
Download data
Series
Accession:
GSE4382
ID:
200004382
11.

Breast tumors

(Submitter supplied) Additional experiments used for intrinsic gene selection. Sorlie et al. Proc Natl Acad Sci U S A. 2001 Sep 11;98(19):10869-74. This Series accompanies Series GSE4335. Experiments that were used to make the "intrinsic" gene list from. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Organism:
Homo sapiens
Type:
Expression profiling by array
5 related Platforms
45 Samples
Download data
Series
Accession:
GSE4336
ID:
200004336
12.

Norway/Stanford Breast Tumors

(Submitter supplied) Characterization of patterns of gene expression measured by cDNA microarrays to subclassify tumors into clinically relevant subgroups. In this study, we have refined the previously defined subtypes of breast tumors that could be distinguished by their distinct patterns of gene expression. A total of 115 malignant breast tumors and 7 benign tissues were analyzed by hierarchical clustering based on patterns of expression of 534 "intrinsic" genes and shown to subdivide into a basal epithelial-like, an ERBB2-overexpressing, two luminal epithelial-like and a normal breast tissue-like subgroup. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
7 related Platforms
122 Samples
Download data
Series
Accession:
GSE4335
ID:
200004335
13.

Tumor-associated stroma derived from primary clinical breast cancer samples

(Submitter supplied) Tumor-associated breast stroma was laser-capture microdissected from IDC breast cancer cases. The goal of the study was to characterize the heterogeneity of breast tumor-assocaited stroma and identify gene expression signatures predictive of clinical outcome. Keywords: disease state analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL1708
123 Samples
Download data: TXT
Series
Accession:
GSE9014
ID:
200009014
14.

Affymetrix HG-U133A gene expression profiles of 39 human breast cancer cell lines

(Submitter supplied) Microarrays were used to detail the global programme of gene expression underlying breast cancer cell lines. We identified two main groups of luminal-type and basal-type breast cancer cell lines by unsupervised Pearson correlation of breast cancer cell lines and intrinsic subtyping. Supervised analysis on spindle versus non-spindle breast cancer cell lines identified a spindle cell signature of 1,144 genes identifying all spindle, basal-type, E-cadherin methylated breast cancer cell lines.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
39 Samples
Download data: CEL
Series
Accession:
GSE16795
ID:
200016795
15.

mRNAs and miRNAs for Women's Healthy Eating and Living (WHEL) Study

(Submitter supplied) The nCounter miRGE™ assay was used to quantify transcript expression with a custom codeset containing probes for 123 endogenous mRNAs and 25 miRNAs to assess the association of genomic markers with long-term breast cancer survival. A total of 1,253 FFPE primary breast cancer samples with high-quality reads were obtained.
Organism:
Homo sapiens
Type:
Other
Platform:
GPL28286
1253 Samples
Download data: RCC, TXT
Series
Accession:
GSE147126
ID:
200147126
16.

Gene expression profiling of mouse p53-deficient epidermal carcinoma defines molecular determinants of human cancer malignancy (testing dataset)

(Submitter supplied) The epidermal specific ablation of Trp53 gene leads to the spontaneous development of aggressive tumors in mice through a process that is accelerated by the simultaneous ablation of Rb gene. Since alterations of p53-dependent pathway are common hallmarks of aggressive, poor prognostic human cancers, these mouse models can recapitulate the molecular features of some of these human malignancies. To evaluate this possibility, gene expression microarray analysis was performed in mouse samples. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL1261
16 Samples
Download data: CEL
Series
Accession:
GSE19616
ID:
200019616
17.

Gene expression profiling of mouse p53-deficient epidermal carcinoma defines molecular determinants of human cancer malignancy (training dataset)

(Submitter supplied) The epidermal specific ablation of Trp53 gene leads to the spontaneous development of aggressive tumors in mice through a process that is accelerated by the simultaneous ablation of Rb gene. Since alterations of p53-dependent pathway are common hallmarks of aggressive, poor prognostic human cancers, these mouse models can recapitulate the molecular features of some of these human malignancies. To evaluate this possibility, gene expression microarray analysis was performed in mouse samples. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL1261
20 Samples
Download data: CEL
Series
Accession:
GSE11990
ID:
200011990
18.

The humoral immune system has a key prognostic impact in node-negative breast cancer

(Submitter supplied) Estrogen receptor (ER) expression and proliferative activity are established prognostic factors in breast cancer. In a search for additional prognostic motives we analyzed the gene expression patterns of 200 tumors of patients who were not treated by systemic therapy after surgery using a discovery approach. After performing hierarchical cluster analysis, we identified co-regulated genes related to the biological process of proliferation, steroid hormone receptor expression, as well as B cell and T cell infiltration. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
200 Samples
Download data: CEL
Series
Accession:
GSE11121
ID:
200011121
19.

caArray_brown-00173: Molecular portraits of human breast tumours

(Submitter supplied) Human breast tumours are diverse in their natural history and in their responsiveness to treatments. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20151
84 Samples
Download data: TXT
Series
Accession:
GSE68586
ID:
200068586
20.

Molecular portraits of human breast tumors

(Submitter supplied) Set of 65 surgical specimens of human breast tumors from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumor. Twenty of the tumors were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumors were paired with a lymph node metastasis from the same patient. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL180
84 Samples
Download data
Series
Accession:
GSE61
ID:
200000061
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