Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Defining the cellular precursors to human breast cancer

ABSTRACT: Human breast cancers are broadly classified based on their gene expression profiles into luminal- and basal-type tumors. These two major tumor subtypes express markers corresponding to the major differentiation states of epithelial cells in the breast, luminal (EpCAM+) and basal/myoepithelial (ME, CD10+). However, there are also rare types of breast cancers, such as metaplastic carcinomas, where tumor cells exhibit features of alternate cell types that no longer resemble breast epithelium. Until now, it has been difficult to identify the cell type(s) in the human breast that gives rise to these various forms of breast cancer. Here we report that transformation of EpCAM+ epithelial cells results in the formation of common forms of human breast cancer including ER+ and ER- tumors with luminal and basal-like characteristics, respectively, while transformation of CD10+ cells results in the development of rare metaplastic tumors reminiscent of the claudin-low subtype. We also demonstrate the existence of CD10+ breast cells with metaplastic traits that can give rise to skin and epidermal tissues. Furthermore, we show that the development of metaplastic breast cancer is due in part, to the transformation of these metaplastic breast epithelial cells. These findings identify normal cellular precursors to human breast cancers and reveal the existence of a population of cells with epidermal progenitor activity within adult human breast tissues.

ORGANISM(S): Homo sapiens

PROVIDER: GSE30489 | GEO | 2011/09/22

SECONDARY ACCESSION(S): PRJNA143505

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Defining the cellular precursors to human breast cancer

Project description:Human breast cancers are broadly classified based on their gene expression profiles into luminal- and basal-type tumors. These two major tumor subtypes express markers corresponding to the major differentiation states of epithelial cells in the breast, luminal (EpCAM+) and basal/myoepithelial (ME, CD10+). However, there are also rare types of breast cancers, such as metaplastic carcinomas, where tumor cells exhibit features of alternate cell types that no longer resemble breast epithelium. Until now, it has been difficult to identify the cell type(s) in the human breast that gives rise to these various forms of breast cancer. Here we report that transformation of EpCAM+ epithelial cells results in the formation of common forms of human breast cancer including ER+ and ER- tumors with luminal and basal-like characteristics, respectively, while transformation of CD10+ cells results in the development of rare metaplastic tumors reminiscent of the claudin-low subtype. We also demonstrate the existence of CD10+ breast cells with metaplastic traits that can give rise to skin and epidermal tissues. Furthermore, we show that the development of metaplastic breast cancer is due in part, to the transformation of these metaplastic breast epithelial cells. These findings identify normal cellular precursors to human breast cancers and reveal the existence of a population of cells with epidermal progenitor activity within adult human breast tissues. 8 breast cell line samples

2011-09-21 | E-GEOD-30489 | biostudies-arrayexpress

Gene expression profiles of epithelial and mesenchymal cell populations extracted from normal human breast tissue

Project description:Stromal-epithelial interactions play a fundamental role in tissue homeostasis, controlling cell proliferation and differentiation. The goals and objectives of this study were 1.) To generate gene expression profiles and identify signatures of freshly isolated, non-cultured, luminal epithelial or basal epithelial and CD10 positive or negative stromal cell populations from the human breast. 2.) Use the generated signatures to characterize and validate the molecular identity of human primary epithelial and stromal/mesenchymal breast cells maintained long-term in novel ex vivo culture conditions in serum free medium (previous study in our lab) Breast tissue from three different reduction mammoplasties was dissociated and single cells were labeled with antibodies against lineage markers (CD31, CD45 CD235ab), CD10, EpCAM, CD49f and DAPI. Different cell populations were identified, separated and sorted with a fluorescence activated cell sorter. Gene expression profiling of luminal epithelial (EpCAM+, CD49f+/-), basal epithelial (EPCAM-, CD49f+), CD10 negative and CD10 positive stromal cells was performed and distinct gene expression signatures for the four cell populations were identified.

2015-09-26 | GSE51200 | GEO

Quantification of regenerative potential in primary human mammary epithelial cells

Project description:We present an organoid regeneration assay in which freshly dissociated human mammary epithelial cells from healthy donors are grown in adherent/rigid or floating/compliant collagen I gels. In both conditions, luminal progenitors (CD49f+EpCAM+) form spheres, whereas basal cells (CD49fhiEpCAM-) generate branched ductal structures. However, in compliant but not rigid collagen gels, branching ducts form alveoli at their tips, express basal and luminal markers at correct positions and display contractility, which is required for alveologenesis. Thereby, branched structures generated in compliant collagen gels resemble terminal ductal-lobular units (TDLUs), the functional units of the mammary gland. Moreover, the membrane metallo-endopeptidase CD10 as an additional surface marker enriches for TDLU-formation and reveals the presence of stromal cells within the CD49fhiEpCAM- population. In summary, we describe a defined in vitro assay system to quantify cells with regenerative potential and systematically investigate their interaction with the physical environment at distinct steps of morphogenesis. Comparison of three cell populations derived from FACS-sorted primary human mammary epithelial cells: luminal progenitors, CD10+ basal cells and CD10- basal cells.

2015-07-02 | E-GEOD-64248 | biostudies-arrayexpress

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

Project description: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. Gene expression pattern followed by intrinsic subtype classification identified these cell lines as “normal” counterpart to luminal A, basal, and normal-like subtypes of breast cancers. We have also created cell lines from CD201+/EpCAM- cells that are likely “normal” counter part of claudin-low subtype of breast cancers. These cell lines serve as good resources as “normal” cell line controls for breast cancer-related studies.

2018-12-25 | GSE108541 | GEO

Project description:Genomic instability is a prominent driver of tumorigenesis. However, a significant fraction of human cancers display few genomic aberrations, suggesting alternative roads towards malignancy. Here, we show that the differentiation status of normal human mammary epithelial cells influences the early response to an oncogenic activation and determines the genetic routes towards tumorigenesis. Following an oncogenic insult, luminal progenitors and differentiated luminal cells undergo oxidative and DNA replication stress, initiating genomic instability. In contrast, mammary stem cells exhibit the innate capacity to withstand aberrant mitogenic activation, fostering malignant transformation. This property relies upon a pre-emptive program driven by the ZEB1 transcription factor and the methionine sulfoxide reductase MSRB3. The ZEB1-MSRB3 axis governs cellular pliancy and prevents the continuous formation of oncogene-induced DNA damage, leading to neoplasms with unique pathological features. These gene expression data correspond to the different subpopulations that compose the hierarchy of normal human mammary epithelial cells. These subpopulations were freshly isolated from mammary tissue, originating from reduction mammoplasties and flow sorted using four markers (EpCAM, CD10, CD49f, ALDH). Three subpopulations enriched in mammary stem cells (MaSCs) are designed as MaSC1, 2, 3; the luminal progenitor are designed as LP, and the mature luminal cells as mL1 and mL2.

2017-03-23 | E-MTAB-4145 | biostudies-arrayexpress

EMT inducers catalyze malignant transformation of mammary epithelial cells and drive tumorigenesis towards claudin-low tumors [mouse]

Project description:The newly identified claudin-low subtype of cancer is believed to represent the most primitive breast malignancies, having arisen from transformation of an early epithelial precursor with inherent stemness properties and metaplastic features. Challenging this hypothesis, we show both in vitro and in vivo that transcription factors inducing epithelial-mesenchymal transition can drive the development of claudin-low tumors from differentiated mammary epithelial cells, by playing a dual role in cell transformation and dedifferentiation. Gene expression profiles of three independent Twist1 + Ras- transgenic mouse-derived metaplastic breast tumors (Breast Tumor A, B and C) and of two luminal MMTV-ERBB2/Neu-breast tumor-derived cell lines (1 and 2) were determined.

2012-07-23 | E-GEOD-32904 | biostudies-arrayexpress

A Luminal, Steroid Receptor-Positive Breast Cancer Stem Cell that Generates Intratumoral Heterogeneity is Preserved by Progesterone and Depleted by Estradiol

Project description:Most breast cancers are luminal, depending on estrogens for growth. The remainder lack estrogen receptors, are hormone-resistant and basal-like. It is thought that breast cancers arise from self-renewing normal stem cells that have undergone malignant transformation. However currently reported cancer stem cells are hormone insensitive and generate basal, rather than luminal tumors. We now describe true luminal hormone-responsive breast cancer stem cells that express estrogen and progesterone receptors. Their self-renewal capacity is protected by progesterone. Stem cell levels are depleted by estrogens as tumors transition into differentiated and homogeneous luminal states. But, if added to estrogens, progesterone promotes heterogeneity and “rescues” the stem cells. By keeping luminal cancer stem cells “safe”, progesterone, widely used for contraception and hormone replacement, could be harmful to breast cancer survivors or women with occult disease.

2016-01-31 | GSE65407 | GEO

The gene expression response of MCF7 and MDAMB231 to glutamine deprivation

Project description:There are two major subtype of cells in breast cancer. These cancer cells response differently to glutamine deprivation, here we use one luminal type of breast cancer cell (MCF7) and one basal type of breast cancer cell (MDAMB231) to compare the gene expression differences of these two types of cancer cells in glutamine deprivation. Many cancer cells depend on glutamine for survival and oncogenic transformation. Although targeting glutamine metabolism is proposed as novel therapies, their heterogeneity among different tumors is unknown. Here, we found only basal-type, but not luminal-type breast cancer cells, exhibited phenotypes of glutamine dependency and may benefit from glutamine-targeting therapeutics. The glutamine independence of luminal-type cells is caused by the specific expression of glutamine synthetase (GS), a pattern recapitulated in luminal breast cancers. The co-culture of luminal cells partially rescued the basal cells under glutamine deprivation, suggesting glutamine symbiosis. The luminal-specific expression of GS is directly induced GATA3 and down-regulates glutaminase expression to maintain subtype-specific glutamine metabolism. Collectively, these data indicate the distinct glutamine phenotypes among breast cells and enable the rational design of glutamine targeted therapies. Gene expression analysis in MCF7 and MDAMB231 cultured with or without glutamine for 24h

2012-01-01 | E-GEOD-26370 | biostudies-arrayexpress

Investigating the DNA damage response of different cell types in the normal human breast

Project description:Growing interest in the cellular origins of different breast cancer subtypes has prompted investigations into the subpopulations of the normal breast epithelia and their differentiation hierarchy. Several groups have demonstrated a likely luminal-progenitor cell origin for basal-like breast cancer. However, the molecular and cellular mechanisms underlying why one breast cell type might be more susceptible to transformation are yet to be elucidated. To observe the molecular differences in the different cell subpopulation response to ionizing radiation (IR), we performed gene expression profiling of MUC1+-sorted and CD10+-sorted primary human mammary epithelial cell cultures. Transcriptional response was measured at 2 and 24 hr after treatment with 2 and 5 Gy IR using Illumina HumanHT-12 v4 Expression Beadchips. The complete sample cohort included time-point matched untreated (0 Gy) controls in a total of 5 individual patients. Our analyses indicated several cell-type specific differences in response to IR. RNA was extracted from MUC1+-sorted and CD10+-sorted primary human mammary epithelial cell cultures at 2 and 24 hr after treatment with 0, 2, and 5 Gy ionizing radiation (12 samples per patient), in a total of 5 individual patients.

2016-02-07 | E-GEOD-67595 | biostudies-arrayexpress

Elucidating the gene expression profiles of human mammary subpopulations

Project description:The organisation of the mammary epithelial cell hierarchy and how these cells relate to the presentation of human breast tumours is poorly understood. Our results demonstrate that the luminal cell compartment of the mouse mammary gland can be resolved into terminally differentiated oestrogen receptor (ER)+ luminal cells, ER+ luminal progenitors and ER- luminal progenitors. The ER+ luminal progenitors are unique in regards to cell survival, as they are relatively insensitive to loss of oestrogen and progesterone when compared to the other types of mammary epithelial cells. Analysis of normal human breast tissue reveals a similar hierarchical organisation that is composed of terminally differentiated luminal cells and relatively differentiated (EpCAM+CD49f+ALDH-) and undifferentiated (EpCAM+CD49f+ALDH+) luminal progenitors. In addition, approximately one third of human breast samples examined contained an additional population that had a luminal progenitor phenotype, but is characterised by low expression of ERBB3 and low proliferative potential. Parent-progeny relationship experiments demonstrated that all luminal progenitor populations in both species are highly plastic and, at low frequencies, can generate progeny representing all mammary cell types. Gene expression profiling demonstrates that the ER- luminal progenitors in the mouse and the undifferentiated ALDH+ luminal progenitors in the human have gene signatures that resemble those obtained from basal-like breast tumours. Overall, our work reveals a more defined mammary cell hierarchy, which may in turn provide greater insight into the aetiology of breast cancer. Normal human breast tissues from reduction mammoplasties were dissociated into single cells and the epithelial cell populations were flow sorted. Total RNA was extracted for each group in 11 independent patient samples.

2012-10-11 | E-GEOD-35399 | 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