Similar studies for GEO DataSets (Select 200012072) - GEO DataSets

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Items: 20

Select item 2000120721.

The effects of timing of fine needle aspiration biopsies on gene expression profiles in breast cancers

(Submitter supplied) Paired fine needle aspiration biopsies (FNABs) of breast cancers were taken before (PRE) and after (POST) surgeries from 16 patients and compared the cDNA microarray data to determine the genes that were differentially expressed between the FNABs taken at the two time points. The timing of fine needle aspiration biopsies can be a confounding factor in microarray data analyses in breast cancer. FOS-related genes, which have been implicated in early hypoxia as well as the development of breast cancers, were differentially expressed before and after surgery. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL7025
32 Samples

Download data: GPR

Series

Accession:: GSE12072

ID:: 200012072

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Select item 2000233862.

Clinical relevance of DNA microarray analyses using archival formalin-fixed paraffin-embedded breast cancer specimens

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platforms:: GPL8432 GPL6883
50 Samples

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Series

Accession:: GSE23386

ID:: 200023386

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Select item 2000233853.

Gene profiling using archival formalin-fixed paraffin-embedded breast cancer specimens can generate informative microarray data: A comparison with matched fresh fine needle aspiration biopsy samples (FNA samples)

(Submitter supplied) The Formalin-Fixed Paraffin-Embedded (FFPE) samples on selected breast cancer subtypes (ER+/Her2-, ER+/Her2+, ER-/Her2+, and ER-/Her2-) and their paired fresh fine needle aspirated biopsies (FNA) were investigated. The cases represented different subtypes of breast cancers based on their clinical receptors ER (E) and Her2 (H) status to demonstrate the ability of gene profiles to differentiate these tumors. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6883
25 Samples

Download data: TXT

Series

Accession:: GSE23385

ID:: 200023385

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Select item 2000233844.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL8432
25 Samples

Download data: TXT

Series

Accession:: GSE23384

ID:: 200023384

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Select item 2000045895.

Breast tumor miRNA profiling

(Submitter supplied) Comparison of miRNA expression profiles in breast tumors clinically annotated for ErbB2, ER, and PR expression, as well as additional parameters. Keywords: Expression profiling of breast tumor biopsies

Organism:: Homo sapiens

Type:: Non-coding RNA profiling by array

Platform:: GPL3238
20 Samples

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Series

Accession:: GSE4589

ID:: 200004589

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Select item 2000045746.

Normal vs. Tumor Prostate miRNA

(Submitter supplied) Comparison of miRNA expression profiles in a small set of prostate needle core biopsies or fine needle aspirates. Keywords: Expression profiling of prostate needle core biopsies

Organism:: Homo sapiens

Type:: Non-coding RNA profiling by array

Platform:: GPL3238
6 Samples

Download data: GPR

Series

Accession:: GSE4574

ID:: 200004574

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Select item 2000045727.

PC3 vs LNCaP amplified and unamplified miRNA

(Submitter supplied) Comparison of miRNA expression profiles directly comparing PC3 cells to LNCaP cells using unamplified and amplified miRNA. Keywords: Expression profiling of hormone sensitive vs. insensitive prostate cancer cell lines and evaluation of amplification fidelity

Organism:: Homo sapiens

Type:: Non-coding RNA profiling by array

Platform:: GPL3238
9 Samples

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Series

Accession:: GSE4572

ID:: 200004572

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Select item 2000223868.

Dynamic changes in gene expression in vivo predict prognosis of tamoxifen-treated patients with breast cancer

(Submitter supplied) Tamoxifen is the most widely prescribed anti-estrogen treatment for patients with ER-positive breast cancer. However, there is still a need for biomarkers that reliably predict endocrine sensitivity in breast cancers and these may well be expressed in a dynamic manner. In this study we assessed gene expression changes at multiple time points (days 1, 2, 4, 7, 14) after tamoxifen treatment in the ER-positive ZR-75-1 xenograft model that displays significant changes in apoptosis, proliferation and angiogenesis within 2 days of therapy. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL506
32 Samples

Download data: TXT

Series

Accession:: GSE22386

ID:: 200022386

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Select item 2000235939.

Intratumor Heterogeneity and Precision of Microarray-Based Predictors of Breast Cancer Biology and Clinical Outcome

(Submitter supplied) Genome-wide expression profiling was performed on 50 core needle biopsies from 18 breast cancer patients using Affymetrix GeneChip Human Genome Plus 2.0 Arrays.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
50 Samples

Download data: CEL

Series

Accession:: GSE23593

ID:: 200023593

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Select item 20005432310.

Gene expression profiling of sequential metastatic biopsies for biomarker discovery in breast cancer

(Submitter supplied) The feasibility of longitudinal metastatic biopsies for gene expression profiling in breast cancer is unexplored. Dynamic changes in gene expression can potentially predict efficacy of targeted cancer drugs. Patients enrolled in a phase III trial of metastatic breast cancer with sunitinib combined with docetaxel (SU+DOC) versus docetaxel alone (DOC) were offered to participate in a translational substudy comprising longitudinal fine needle aspiration biopsies (FNAB) and positron emission imaging before (T1) and two weeks after start of treatment (T2). more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
29 Samples

Download data: CEL

Series

Accession:: GSE54323

ID:: 200054323

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Select item 20001698711.

A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis

(Submitter supplied) When making treatment decisions, oncologists often stratify breast cancers into a low-risk group (ER+, low grade); an intermediate-risk group (ER+, high grade); and a high-risk group that includes Her2+ and triple-negative (ER-/PR-/Her2-) tumors. None of the currently available gene signatures correlates to this clinical classification. We aimed to develop a test that is practical for the oncologists, that offers both molecular characterization of BCs, and improved prediction of prognosis and treatment response. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6104
161 Samples

Download data: TXT

Series

Accession:: GSE16987

ID:: 200016987

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Select item 20001698412.

Comparability and concordance of replicated microarray data.

(Submitter supplied) To measures the comparability and concordance of Illumina microarray, a series of 30 samples of Universal Human Reference RNA (UHRR) were set as controls for every single chip of total 30 Human-Ref V2 BeadChips. The average bead number of the 30 arrays was 42.3±8.1 for any bead type over the 22,184 probes. A high average correlation coefficient (r) value was obtained as 0.9908±0077 relative to each other of the expression intensity values from the 30 duplicate UHRR samples.

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL6104
30 Samples

Download data: TXT

Series

Accession:: GSE16984

ID:: 200016984

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Select item 20004635513.

Expression profiling of circulating miRNAs in Luminal A breast cancer

(Submitter supplied) Breast cancer is a common disease with distinct tumor subtypes which can be phenotypically characterized by estrogen receptor, progesterone receptor and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression. Altered miRNA expression has been demonstrated in a variety of cancer states to date presenting the potential for exploitation as cancer specific biomarkers. more...

Organism:: Homo sapiens

Type:: Non-coding RNA profiling by array

Platforms:: GPL17040 GPL17039
28 Samples

Download data: TXT

Series

Accession:: GSE46355

ID:: 200046355

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Select item 20000957414.

Gene expression abnormalities in histologically normal breast epithelium of breast cancer patients

(Submitter supplied) Normal-appearing epithelium of cancer patients can harbor occult genetic abnormalities. Data comprehensively comparing gene expression between histologically normal breast epithelium of breast cancer patients and cancer-free controls are limited. The present study compares global gene expression between these groups. We performed microarrays using RNA from microdissected histologically normal terminal ductal-lobular units (TDLU) from 2 groups: (i) cancer normal (CN) (TDLUs adjacent to untreated ER1 breast cancers (n = 14)) and (ii) reduction mammoplasty (RM) (TDLUs of age-matched women without breast disease (n = 15)). more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Dataset:: GDS3139
Platform:: GPL96
29 Samples

Download data: CEL

Series

Accession:: GSE9574

ID:: 200009574

Select item 313915.

Breast cancer: histologically normal breast epithelium

Analysis of histologically normal breast epithelia of breast cancer patients. Results provide insight into the molecular abnormalities in normal appearing breast epithelium in breast cancer and the roles these abnormalities play in carcinogenesis.

Organism:: Homo sapiens

Type:: Expression profiling by array, count, 2 disease state sets

Platform:: GPL96
Series:: GSE9574
29 Samples

Download data: CEL

DataSet

Accession:: GDS3139

ID:: 3139

Select item 20000260716.

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 GPL887 GPL1390
126 Samples

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Series

Accession:: GSE2607

ID:: 200002607

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Select item 20000315517.

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

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Series

Accession:: GSE3155

ID:: 200003155

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20000389318.

Gene Expression Profiling of matched Ductal Carcinomas in Situ and Invasive Breast Tumors

(Submitter supplied) This is a matched-pair analysis of ductal carcinoma in situ (DCIS) and invasive component (IDC) of nine breast ductal carcinoma to identify novel molecular markers characterizing the transition from DCIS to IDC for a better understanding of its molecular biology. Keywords: Affymetrix-based Microarrays in Mamma carcinoma

Organism:: Homo sapiens

Type:: Expression profiling by array

Datasets:: GDS2045 GDS2046
Platforms:: GPL570 GPL96
24 Samples

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Series

Accession:: GSE3893

ID:: 200003893

Select item 204619.

Ductal carcinoma in situ to invasive ductal carcinoma progression (HG-U133 2.0)

Analysis of preinvasive ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) tumors. Pairs of patient-matched DCIS and IDC tumor specimens analyzed. Results provide insight into the mechanisms underlying the progression of DCIS to IDC.