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Links from GEO DataSets

Items: 20

1.

Gene expression profiling of the 20 human early breast carcinomas by three miaroarray platforms

(Submitter supplied) In this study, we profiled gene expressions on 20 biopsy tissues of early stage breast carcinoma using Applied Biosystem’s Human Genome Survey Microarrays. Two main previously defined clinically relevant subtypes of breast tumors, Luminal A (longest survival time) and Basal (shortest survival time) were identified. Statistical analysis identified 1210 genes as signature genes characterizing the two subtypes of breast cancer. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL1843 GPL1426 GPL1708
80 Samples
Download data
Series
Accession:
GSE3155
ID:
200003155
2.

aCGH data from age-dichotomized ER+ breast tumors

(Submitter supplied) To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, DNA samples from matched ER+ invasive breast cancers diagnosed in either young (<45) or old (>70) women were analyzed with aCGH Keywords: biomarker identification
Organism:
Homo sapiens
Type:
Genome variation profiling by genome tiling array
Platform:
GPL4999
71 Samples
Download data: XLS
Series
Accession:
GSE8801
ID:
200008801
3.

Expression data from age-dichotomized ER+ breast tumors

(Submitter supplied) To investigate the biological basis between aging and sporadic breast cancer incidence and prognosis, RNA samples from matched ER+ invasive breast cancers diagnosed in either young (≤45) or old (≥70) women were analyzed by expression microarrays Keywords: biomarker identification
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4685
47 Samples
Download data: CEL
Series
Accession:
GSE8193
ID:
200008193
4.

Molecular profiling of breast cancer cell lines defines relevant tumor models

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by array
8 related Platforms
105 Samples
Download data
Series
Accession:
GSE15376
ID:
200015376
5.

Molecular profiling of breast cancer cell lines defines relevant tumor models (gene expression)

(Submitter supplied) Summary: Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes (luminal A, luminal B, ERBB2-associated, basal-like and normal-like) with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL7785
50 Samples
Download data
Series
Accession:
GSE15361
ID:
200015361
6.

Molecular profiling of breast cancer cell lines defines relevant tumor models (aCGH)

(Submitter supplied) Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes - luminal A, luminal B, ERBB2-associated, basal-like and normal-like - with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). more...
Organism:
Homo sapiens
Type:
Genome variation profiling by array
7 related Platforms
55 Samples
Download data
Series
Accession:
GSE13914
ID:
200013914
7.

Identification of subtypes in HER2-positive breast cancer reveals a gene signature prognostic of outcome

(Submitter supplied) Purpose HER2 gene amplification or protein overexpression (HER2+) defines a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. We aimed to investigate the heterogeneous biological appearance and clinical behavior of HER2+ tumors using molecular profiling. Materials and Methods Hierarchical clustering of gene expression data from 58 HER2-amplified tumors of various stage, histological grade and estrogen receptor (ER) status was used to construct a HER2-derived prognostic predictor that was further evaluated in several large independent breast cancer data sets. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5345
58 Samples
Download data: GPR, TXT
Series
Accession:
GSE18328
ID:
200018328
8.

Genomic Subtypes of Breast Cancer Identified by Array Comparative Genomic Hybridization

(Submitter supplied) Breast cancer is a profoundly heterogeneous disease with respect to biological and clinical behavior. Gene expression profiling has been used to dissect this complexity and stratify tumors into intrinsic gene expression subtypes associated with distinct biology, patient outcome and different genomic alterations. Additionally, breast tumors occurring in individuals with germline BRCA1 or BRCA2 mutations typically fall into distinct subtypes. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by array
Platforms:
GPL5345 GPL7247 GPL4723
718 Samples
Download data: GPR, TXT
Series
Accession:
GSE22133
ID:
200022133
9.

Biological Classification of Breast Cancer by Real-Time Quantitative RTPCR: Comparisons to Microarray and Histopathology

(Submitter supplied) Microarrays have shown that gene expression patterns can be used to molecularly classify breast cancers into distinct and clinically significant groups. In order to translate these profiles into routine diagnostics, we have recapitulated a microarray breast cancer classification using real-time quantitative (q)RT-PCR. We performed statistical analyses on multiple independent microarray datasets to select an “intrinsic” gene set that can classify breast tumors into four different subtypes designated as Luminal, Normal-like, HER2+/ER-, and Basal-like. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL885 GPL1390 GPL887
126 Samples
Download data
Series
Accession:
GSE2607
ID:
200002607
10.

Gene expression patterns associated with p53 status in breast cancer

(Submitter supplied) Breast cancer subtypes identified in genomic studies have different underlying genetic defects. Mutations in the tumor suppressor p53 occur more frequently in estrogen receptor (ER) negative, basal-like and HER2-amplified tumors than in luminal, ER positive tumors. Thus, because p53 mutation status is tightly linked to other characteristics of prognostic importance, it is difficult to identify p53's independent prognostic effects. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL887 GPL885
48 Samples
Download data
Series
Accession:
GSE3178
ID:
200003178
11.

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
12.

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
13.

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
14.

Gene expression profiling in response to radiation treatment in human breast cancer

(Submitter supplied) Treatment-related morbidities have been linked to the large post-operative treatment volumes required for external beam partial breast irradiation (PBI). Alternative PBI techniques require equipment that is not readily available. To address these issues, we designed a phase I trial utilizing widely available technology to 1) evaluate the safety of a single radiation treatment delivered preoperatively to the small-volume, intact breast tumor and 2) identify imaging and genomic markers of radiation response.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17586
62 Samples
Download data: CEL
Series
Accession:
GSE65505
ID:
200065505
15.

Gene expression profiling in response to radiation treatment in breast cancer [cell lines]

(Submitter supplied) Introduction: Breast radiotherapy is currently “one size fits all” regardless of breast cancer subtype (eg. luminal, basal). However, recent clinical data suggests that radiation response may vary significantly among subtypes. Therefore, current practice leads to over- or under-treatment of women whose tumors are more or less radiation responsive. We hypothesized that this clinical variability may be due, in part, to differences in cellular radiation response. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL571
96 Samples
Download data: CEL
Series
Accession:
GSE59732
ID:
200059732
16.

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer

(Submitter supplied) This microarray dataset contains 51 triple-negative breast cancers with clinical and recurrence information for at least 3 years of follow-up and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). A novel set of 45-gene signature that was statistically predictive of distant metastasis recurrence for triple-negative breast cancer was identified in this study.
Organism:
Homo sapiens
Type:
Expression profiling by array; Third-party reanalysis
Platform:
GPL7264
51 Samples
Download data: TXT
Series
Accession:
GSE33926
ID:
200033926
17.

Expression profile of ovarian tumour samples

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
295 Samples
Download data: CEL, CSV
Series
Accession:
GSE9899
ID:
200009899
18.

Expression profile of 285 ovarian tumour samples

(Submitter supplied) We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour Keywords: disease state analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
285 Samples
Download data: CEL, CSV
Series
Accession:
GSE9891
ID:
200009891
19.

Expression profile of 5 ovarian tumour samples (two different cell types from each sample profiles)

(Submitter supplied) We used microarrays to profile the expression levels of 5 tumour samples Keywords: expression difference of cell types in tumour samples
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
10 Samples
Download data: CEL, CSV
Series
Accession:
GSE9890
ID:
200009890
20.

Molecular subtypes of breast cancer are associated with characteristic DNA methylation patterns

(Submitter supplied) Introduction: Five different molecular subtypes of breast cancer have been identified through gene expression profiling. Each subtype has a characteristic expression pattern suggested to partly depend on cellular origin. We aimed to investigate whether the molecular subtypes also display distinct methylation profiles. Methods: We analysed methylation status of 807 cancer-related genes in 189 fresh frozen primary breast tumours and four normal breast tissue samples using an array-based methylation assay. more...
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL9183
193 Samples
Download data: TXT
Series
Accession:
GSE22210
ID:
200022210
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