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Links from GEO DataSets

Items: 20

1.

Intrinsic subtype and gene expression changes between matched primary and metastatic samples of breast cancer patients

(Submitter supplied) We compared expression of 105 breast cancer-related genes between matched primary and metastatic breast cancer
Organism:
Homo sapiens
Type:
Other
Platform:
GPL17071
246 Samples
Download data: TXT
Series
Accession:
GSE92977
ID:
200092977
2.

Expression data from fine-needle aspiration biopsies of breast cancer metastases from different anatomical sites

(Submitter supplied) To determine whether breast cancer molecular subtypes and tumor characteristics with demonstrated significance in a primary tumor setting can also confer clinically relevant information in breast cancer metastases. We assessed previously published gene expression modules of seven biological processes and the intrinsic subtypes (PAM50). The translational aspect of the Swedish randomized TEX trial included 112 patients with at least one biopsy from morphologically confirmed loco-regional or distant breast cancer metastasis diagnosed from December 2002 until June 2007. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
120 Samples
Download data: CEL
Series
Accession:
GSE56493
ID:
200056493
3.

Tumor Intrinsic Subtype is Reflected in Cancer-Adjacent Benign Tissue

(Submitter supplied) Introduction: Overall survival of early-stage breast cancer (BC) patients is similar for those who undergo breast conserving therapy (BCT) and mastectomy, however, 10-15% of women undergoing BCT suffer ipsilateral breast tumor recurrence. The risk of recurrence may vary with age or breast cancer subtype. Understanding the gene expression of the cancer-adjacent tissue and/or stromal response to specific tumor subtypes is important for developing clinical strategies to reduce recurrence risk. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL16272 GPL4133
71 Samples
Download data
Series
Accession:
GSE50939
ID:
200050939
4.

Relationship of mammographic density and gene expression: analysis of normal breast tissue surrounding breast cancer

(Submitter supplied) Purpose: Previous studies of breast tissue gene expression have demonstrated that the extratumoral microenvironment has substantial variability across individuals, some of which can be attributed to epidemiologic factors. To evaluate how mammographic density (MD) and breast tissue composition relate to extratumoral microenvironment gene expression, we used data on 121 breast cancer patients from the population-based Polish Women’s Breast Cancer Study.Design: Breast cancer cases were classified based on a previously reported, biologically-defined extratumoral gene expression signature with two subtypes: an Active subtype, which is associated with high expression of genes related to fibrosis and wound response, and an Inactive subtype, which has high expression of cellular adhesion genes. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4133
120 Samples
Download data
Series
Accession:
GSE49175
ID:
200049175
5.

Interactions with Fibroblasts are Distinct in Basal-like and Luminal Breast Cancers

(Submitter supplied) Basal-like breast cancers have several well-characterized distinguishing molecular features, but most of these are features of the cancer cells themselves. The unique stromal-epithelial interactions, and more generally, microenvironmental features of basal-like breast cancers, have not been well characterized. To identify characteristic microenvironment features of basal-like breast cancer, we performed cocultures of several basal-like breast cancer cell lines with fibroblasts (reduction mammoplasty-derived fibroblast line; RMF) and compared these to cocultures of luminal breast cancer cell lines with fibroblasts. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL4133 GPL8269
99 Samples
Download data
Series
Accession:
GSE26411
ID:
200026411
6.

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
7.

Gene expression of breast cancer cell lines treated with conditioned medium derived from NAF and CAF

(Submitter supplied) We treated nine lines of breast cancer cells with conditioned medium derived from NAF and CAF to study the paracrine interaction beetween stroma and tumor. Gene expression profiles for breast cancer cell lines are reported after 72h of treatment with conditioned medium derived from NAF and CAF or with control media.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
87 Samples
Download data: TXT
Series
Accession:
GSE70884
ID:
200070884
8.

FGFR4 is a regulator of tumor subtype differentiation in luminal breast cancer and metastatic disease II

(Submitter supplied) Mechanisms driving tumor progression from less aggressive subtypes to more aggressive states represent key targets for breast cancer therapy. We identified a subset of Luminal A primary breast tumors to give rise to HER2-enriched (HER2E) subtype metastases, but remain clinically HER2 negative (cHER2-). By testing the unique genetic and transcriptomic features of these cases, we developed the hypothesis that fibroblast growth factor receptor 4 (FGFR4) likely participates in this subtype switching. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL20301 GPL16791
166 Samples
Download data: TSV
Series
Accession:
GSE147322
ID:
200147322
9.

FGFR4 is a regulator of tumor subtype differentiation in luminal breast cancer and metastatic disease

(Submitter supplied) Mechanisms driving tumor progression from less aggressive subtypes to more aggressive states represent key targets for breast cancer therapy. We identified a subset of Luminal A primary breast tumors to give rise to HER2-enriched (HER2E) subtype metastases, but remain clinically HER2 negative (cHER2-). By testing the unique genetic and transcriptomic features of these cases, we developed the hypothesis that fibroblast growth factor receptor 4 (FGFR4) drives this subtype switching. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
6 Samples
Download data: MTX, TSV
Series
Accession:
GSE145326
ID:
200145326
10.

FGFR4 is a key regulator of tumor subtype differentiation in luminal breast cancer and metastatic disease

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20311
54 Samples
Download data: TXT
Series
Accession:
GSE126038
ID:
200126038
11.

FGFR4 is a key regulator of tumor subtype differentiation in luminal breast cancer and metastatic disease [set 2]

(Submitter supplied) Mechanisms driving tumor progression from less aggressive subtypes to more aggressive states represent key targets for breast cancer therapy. We observed that a subset of Luminal A primary breast tumors give rise to HER2-enriched (HER2E) subtype metastases, but remain clinically HER2 negative (cHER2-). By testing the unique genetic and transcriptomic features of these cases, we developed the hypothesis that FGFR4 drives this subtype switching. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20311
13 Samples
Download data: TXT
Series
Accession:
GSE126037
ID:
200126037
12.

FGFR4 is a key regulator of tumor subtype differentiation in luminal breast cancer and metastatic disease [set 1]

(Submitter supplied) Mechanisms driving tumor progression from less aggressive subtypes to more aggressive states represent key targets for breast cancer therapy. We observed that a subset of Luminal A primary breast tumors give rise to HER2-enriched (HER2E) subtype metastases, but remain clinically HER2 negative (cHER2-). By testing the unique genetic and transcriptomic features of these cases, we developed the hypothesis that FGFR4 drives this subtype switching. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20311
41 Samples
Download data: TXT
Series
Accession:
GSE126036
ID:
200126036
13.

Heterogeneity in global gene expression profiles between biopsy specimens taken peri-surgically from primary ER-positive breast carcinomas

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL6884 GPL10558
158 Samples
Download data
Series
Accession:
GSE73237
ID:
200073237
14.

Heterogeneity in global gene expression profiles between biopsy specimens taken peri-surgically from primary ER-positive breast carcinomas (excision/x-ray samples)

(Submitter supplied) Gene expression is widely used for the characterization of breast cancers. Variability due to tissue heterogeneity or measurement error or systematic change due to peri-surgical procedures can affect measurements but is poorly documented. We studied the variability of global gene expression between core-cuts of primary ER+ breast cancers and the impact of delays to tissue stabilization due to sample x-ray and of diagnostic core-cutting. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL6884 GPL10558
46 Samples
Download data: TXT
Series
Accession:
GSE73236
ID:
200073236
15.

Heterogeneity in global gene expression profiles between biopsy specimens taken peri-surgically from primary ER-positive breast carcinomas (diagnostic/surgical samples)

(Submitter supplied) Gene expression is widely used for the characterization of breast cancers. Variability due to tissue heterogeneity or measurement error or systematic change due to peri-surgical procedures can affect measurements but is poorly documented. We studied the variability of global gene expression between core-cuts of primary ER+ breast cancers and the impact of delays to tissue stabilization due to sample x-ray and of diagnostic core-cutting. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
112 Samples
Download data: TXT
Series
Accession:
GSE73235
ID:
200073235
16.

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
17.

Immortalized breast epithelial cell lines from normal breast with luminal and intrinsic subtypes – enriched gene expression

(Submitter supplied) The cell-type origin has long been suspected to determine molecular features of tumors but has proven difficult to experimentally validate in human breast cancers because of deficiencies in culturing methods that allow propagation of three major cell types of the breast including stem/basal, luminal-progenitor and mature/differentiated cells. We have created immortalized cell lines from core breast biopsies of ancestry-mapped healthy women that are enriched for luminal gene expression including hormonally sensitive ERa-FOXA1-GATA3 transcription factor network. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
59 Samples
Download data: TXT
18.

Long noncoding RNA landscape in breast cancer [Mexico]

(Submitter supplied) Breast cancer (BC) is the most commonly diagnosed neoplasm in women worldwide and a well-recognized heterogeneous pathology classified into four molecular subtypes: Luminal A, Luminal B, HER2-enriched and Basal-like, each one with different biological and clinical characteristics. It is well recognize that clinical and molecular heterogeneity of BC is driven in part by mRNA and lncRNAs. We profiled mRNAs and lncRNA in 75 adjuvant tumors using an Affymetrix microarray platform.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17586
86 Samples
Download data: CEL, CHP
Series
Accession:
GSE134359
ID:
200134359
19.

A long noncoding RNA landscape in breast cancer reveals a potential role for lncRNA AC009283.1 in proliferation and apoptosis in HER2-enriched molecular subtype

(Submitter supplied) We silenced lncRNA AC009283.1 using shRNAs in cell line SKBR3, carried a ~75% silencing compared to thenegative control (NC). We evaluated the role of lncRNA AC009283.1 on oncogenic phenotypes in the HER2-enriched SKBR3 breast cancer cell line model. The knockdown of lncRNA AC009283.1 was achieved with ~75% of silencing efficiency. A complete transcriptomic analysis after silencing of lncRNA AC009283.1 revealed an impact on the global expression.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL17586
6 Samples
Download data: CEL, CHP
Series
Accession:
GSE134254
ID:
200134254
20.

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
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