Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of medullary breast cancer vs ductal breast cancer cell lines

ABSTRACT: Gene expression analysis of meduallary breast cancer vs ductal breast cancer

ORGANISM(S): Homo sapiens

DISEASE(S): normal

SUBMITTER: Morten Gjerstorff

PROVIDER: E-MEXP-441 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Identification of genes with altered expression in medullary breast cancer vs. ductal breast cancer and normal breast epithelia.

Gjerstorff Morten F MF Benoit Vivian M VM Laenkholm Anne-Vibeke AV Nielsen Ole O Johansen Lene E LE Ditzel Henrik J HJ

International journal of oncology 20060601 6

Medullary breast cancer (MCB) is a morphologically and biologically distinct subtype that, despite cytologically highly malignant characteristics, has a favorable prognosis compared to the more common infiltrating ductal breast carcinoma. MCB metastasizes less frequently, which has been attributed to both immunological and endogenous cellular factors, although little is known about the distinct biology of MCB that may contribute to the improved outcome of MCB patients. To identify candidate gene ...[more]

PMID: 16685433

Similar Datasets

Transcriptomic survey of lymph node-positive vs. - negative ductal breast cancer

Project description:Lymph node involvement is a major prognostic variable in breast cancer. Whether the molecular mechanisms that drive breast cancer cells to colonize lymph nodes are shared with their capacity to form distant metastases is yet to be established. In a transcriptomic survey aimed at identifying molecular factors associated with lymph node involvement of ductal breast cancer, we found that luminal differentiation, assessed by the expression of estrogen receptor (ER) and/or progesterone receptor (PR) and GATA3, was only infrequently lost in node-positive primary tumors and in matched lymph node metastases. The transcription factor GATA3 critically determines luminal lineage specification of mammary epithelium and is widely considered a tumor and metastasis suppressor in breast cancer. Strong expression of GATA3 and ER in a majority of primary node-positive ductal breast cancer was corroborated by quantitative RT-PCR and immunohistochemistry in the initial sample set, and by immunohistochemistry in an additional set from 167 patients diagnosed of node-negative and positive primary infiltrating ductal breast cancer, including 102 samples from loco-regional lymph node metastases matched to their primary tumors, as well as 37 distant metastases. These observations suggest that loss of luminal differentiation is not a major factor driving the ability of breast cancer cells to colonize regional lymph nodes. The transcriptomic study comprises 16 samples from Lymph node metastasis from infiltrating ductal breast carcinoma, 18 samples from Primary node-positive infiltrating ductal,7 samples from Primary node-negative infiltrating ductal and 3 samples from Unaffected lymph node were included. Their RNA was isolated and prepared for hybridization to human Affymetrix GeneChip arrays.

2013-03-05 | E-GEOD-44408 | biostudies-arrayexpress

Transcription profiling of human lobular and ductal invasive carcinomas vs normal breast tissue from the same patient to identify gene expression profiles of ductal and lobular carcinomas in relation to normal ductal and lobular cells

Project description:The aim of our study was to identify gene expression profiles of ductal and lobular carcinomas in relation to normal ductal and lobular cells. We examined ten mastectomy specimens from postmenopausal breast cancer patients. Ductal and lobular tumor and normal cells were microdissected from cryosections. Fifty nanograms of total RNA were amplified and labeled by PCR and in vitro transcription. GCOS pairwise comparison algorithm and rank products have identified multiple genes that are differentially expressed in comparisons between ductal and lobular tumor and normal cell types. The results suggest that these genes are involved in epithelial-mesenchymal transition, TGFbeta and Wnt signaling. These changes are present in both tumor types but appear to be more prominent in lobular carcinomas. Ten surgical specimens obtained by mastectomy from postmenopausal patients with invasive ductal (IDC) and lobular breast (ILC) carcinomas were investigated. Of these, 5 were IDCs and 5 were ILCs. Tumor and normal tissues from the same mammary gland were identified by an experienced pathologist, snap-frozen in liquid nitrogen and stored at -80ÂºC for further analysis. Microdissection, RNA isolation, amplification, labeling and microarray analysis are described in sample definitions. Samples from particular cell types (normal ductal, normal lobular, tumor ductal, tumor lobular - 10, 10, 5, 5 samples, respectively) were considered as biological replicates and were compared in between.

2007-11-01 | E-GEOD-5764 | biostudies-arrayexpress

Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer

Project description:This SuperSeries is composed of the following subset Series: GSE41194: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 1) GSE41196: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 2) GSE41197: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 3) GSE41198: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 4 stroma) GSE41227: Differentially Expressed Genes Regulating the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer (Group 4 Epithelial) Refer to individual Series

2012-09-29 | E-GEOD-41228 | biostudies-arrayexpress

Transcription profiling of human inflammatory breast carcinoma tumors (luminal, basal and apocrine)

Project description:EORTC 10994 is a phase III clinical trial comparing FEC with ET in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 100 ng total RNA per chip were amplified using the Affymetrix small sample protocol (IVT then Enzo). 49 tumours were tested on Affymetrix U133A chips. The CEL files were quantile normalised together using rma. Clinical response data are not available yet. See doi:10.1038/sj.onc.1208561 Farmer et al "Identification of molecular apocrine breast tumours by microarray analysis

2007-08-14 | E-GEOD-1561 | biostudies-arrayexpress

Gene expression data from breast ductal cells from women at normal risk or high risk for breast cancer

Project description:Breast cancer develops through the accumulation of genomic changes in the ductal epithelia cells of normal breast tissue. A determination of whether gene expression changes in ductal cells is associated with an increased risk for breast cancer is needed. We sought to determine if the global gene expression profiles of ductal cells of women at high risk for breast cancer or with cytologic ductal epithelial atypia differed from those of women at normal risk or without cytologic atypia. We used microarrays to detail the gene expression profile of breast ductal cells associated with normal risk or high risk for sporadic breast cancer and with or without cytologic epithelial atypia. We did not identify any separation of the sample groups (normal risk vs high-risk, or atypia vs nonatypia) according to expression of subgroups of genes.

2020-07-05 | GSE153796 | GEO

Transcription profiling of breast cancer tumors of ductal and classical lobular types

Project description:Breast cancer tumors: of ductal (D) and classical lobular (L) type. Experiment "BC2_Jeffrey_minus_G50_1" was denoted as BC-D-002.

2007-03-09 | E-SMDB-3963 | biostudies-arrayexpress

Transcription profiling of breast cancer tumors of ductal and lobular types

Project description:Breast cancer tumors of ductal (D) and lobular (L) type. Not all lobular tumors are "classical lobular" tumors. Experiment "BC2_Jeffrey_minus_G50_1" was denoted as BC-D-002.

2007-03-27 | E-SMDB-3962 | biostudies-arrayexpress

Transcriptomic survey of lymph node-positive vs. - negative ductal breast cancer

Project description: Lymph node involvement is a major prognostic variable in breast cancer. Whether the molecular mechanisms that drive breast cancer cells to colonize lymph nodes are shared with their capacity to form distant metastases is yet to be established. In a transcriptomic survey aimed at identifying molecular factors associated with lymph node involvement of ductal breast cancer, we found that luminal differentiation, assessed by the expression of estrogen receptor (ER) and/or progesterone receptor (PR) and GATA3, was only infrequently lost in node-positive primary tumors and in matched lymph node metastases. The transcription factor GATA3 critically determines luminal lineage specification of mammary epithelium and is widely considered a tumor and metastasis suppressor in breast cancer. Strong expression of GATA3 and ER in a majority of primary node-positive ductal breast cancer was corroborated by quantitative RT-PCR and immunohistochemistry in the initial sample set, and by immunohistochemistry in an additional set from 167 patients diagnosed of node-negative and –positive primary infiltrating ductal breast cancer, including 102 samples from loco-regional lymph node metastases matched to their primary tumors, as well as 37 distant metastases. These observations suggest that loss of luminal differentiation is not a major factor driving the ability of breast cancer cells to colonize regional lymph nodes.

2013-03-05 | GSE44408 | GEO

Epigenome analysis of normal ductal breast samples and infiltrating ductal breast cancer (BC) classified by tumour subtype

Project description:Epigenome analysis of normal ductal breast samples and infiltrating ductal breast cancer (BC) classified by tumour subtype

| PRJNA593185 | ENA

Gene expression profiling of triple negative breast cancer, normal ductal cells, and normal tissues

Project description:To identify novel molecular targets for triple negative breast cancer (TNBC), we have employed whole genome microarray expression profiling. We purified 30 surgically resected breast cancer tissue diagnosed triple negative by means of immunohistochemical staining and 13 normal mammary ductal cells with lasermicrobeam microdissection system (PALM MicroBeam, Carl Zeiss MicroImaging Co., Ltd), performed whole human genome microarray, and compared gene expression levels of TNBC, normal mammary ductal cells, and normal vital organs to develop molecular targets with a minimum risk. Gene expression levels of 30 TNBC, 13 normal mammary ductal cells, and 4 normal vital tissues were evaluated. to clarify the molecular mechanism involved in TNBC, we analyzed gene expression profiles of 30 TNBC as well as 13 normal epithelial ductal cells purified by laser microbeam microdissection, and identified 301 transcripts that were significantly up-regulated and 321 transcripts that were significantly down-regulated in TNBC. In addition, gene-expression profiles analysis of normal human vital organs including heart, lung, liver, and kidney allowed us to identify 90 cancer-specific genes involved in breast carcinogenesis such as NEK2, PBK, DTL, MELK and GPSM2. Among them, we focused on cell cycle regulators, asp (abnormal spindle) homolog, microcephaly associated (Drosophila) (ASPM) and centromere protein K (CENPK) as novel therapeutic targets for TNBC.

2012-12-21 | E-GEOD-38959 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data