Dataset Information

Rare steroid receptor-negative basal-like tumorigenic cells in luminal subtype human breast cancer xenografts.

ABSTRACT: There are two major subtypes of human breast cancers: the luminal, estrogen, and progesterone receptor-positive, cytokeratin 18-positive (ER(+)PR(+)CK18(+)) subtype, and the basal ER(-)PR(-)CK18(-)CK5(+) subtype. Tumor-initiating cells (CD44(+)) have been described for human breast cancers; whether these are common to the two subtypes is unknown. We have identified a rare population of cells that are both CD44(+) and ER(-)PR(-)CK5(+) in luminal-like ER(+)PR(+) T47D human breast tumor xenografts. The tumor-isolated CD44(+) cell fraction was highly enriched for clonogenic (in vitro culture) and tumorigenic (in vivo reimplantation) cells compared with the CD44(-) cell fraction. Rare ER(-)PR(-)CK5(+) cells were present within CD44(+)-derived colonies. Tumor-isolated cells placed in minimal media also contained rare ER(-)PR(-)CK5(+) cells at early time points (<10 cells); however, this population did not expand with increasing colony size. The number of ER(+)PR(+)CK5(-) cells, conversely, increased linearly with colony growth. Similary, tumors originating in vivo from CD44(+) cells contained a rare static ER(-)PR(-)CK5(+) population, an intermediate ER(-)PR(-)CK5(-) population, and an expanding ER(+)PR(+)CK5(-) population. Putative ER(+)PR(+)CK5(+) transitional cells could be seen only in colonies or tumors treated with a progestin. We propose that luminal ER(+)PR(+) breast tumors contain a minor ER(-)PR(-)CK5(+) population that has the capacity to generate the majority of ER(+)PR(+)CK18(+)CK5(-) cells. Luminal breast cancers are treated with endocrine therapies that target ER. The rare ER(-)PR(-)CK5(+) progenitor cells would escape such treatments and survive to repopulate the tumor.

SUBMITTER: Horwitz KB

PROVIDER: S-EPMC2311360 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Rare steroid receptor-negative basal-like tumorigenic cells in luminal subtype human breast cancer xenografts.

Horwitz Kathryn B KB Dye Wendy W WW Harrell Joshua Chuck JC Kabos Peter P Sartorius Carol A CA

Proceedings of the National Academy of Sciences of the United States of America 20080407 15

There are two major subtypes of human breast cancers: the luminal, estrogen, and progesterone receptor-positive, cytokeratin 18-positive (ER(+)PR(+)CK18(+)) subtype, and the basal ER(-)PR(-)CK18(-)CK5(+) subtype. Tumor-initiating cells (CD44(+)) have been described for human breast cancers; whether these are common to the two subtypes is unknown. We have identified a rare population of cells that are both CD44(+) and ER(-)PR(-)CK5(+) in luminal-like ER(+)PR(+) T47D human breast tumor xenografts. ...[more]

PMID: 18391223

Similar Datasets

Project description:PurposePatients with triple-negative breast cancer (TNBC) have an increased risk of distant metastasis compared to those with other subtypes. In this study, we aimed to identify the genes associated with distant metastasis in TNBC and their underlying mechanisms.MethodsWe established patient-derived xenograft (PDX) models using surgically resected breast cancer tissues from 31 patients with TNBC. Among these, 15 patients subsequently developed distant metastases. Candidate metastasis-associated genes were identified using RNA sequencing. In vitro wound healing, proliferation, migration, and invasion assays and in vivo tumor xenograft and metastasis assays were performed to determine the functional importance of aldo-keto reductase family 1 member C2 (AKR1C2). Additionally, we used the METABRIC dataset to investigate the potential role of AKR1C2 in regulating TNBC subtypes and their downstream signaling activities.ResultsRNA sequencing of primary and PDX tumors showed that genes involved in steroid hormone biosynthesis, including AKR1C2, were significantly upregulated in patients who subsequently developed metastasis. In vitro and in vivo assays showed that silencing of AKR1C2 resulted in reduced cell proliferation, migration, invasion, tumor growth, and incidence of lung metastasis. AKR1C2 was upregulated in the luminal androgen receptor (LAR) subtype of TNBC in the METABRIC dataset, and AKR1C2 silencing resulted in the downregulation of LAR classifier genes in TNBC cell lines. The androgen receptor (AR) gene was a downstream mediator of AKR1C2-associated phenotypes in TNBC cells. AKR1C2 expression was associated with gene expression pathways that regulate AR expression, including JAK-STAT signaling or interleukin 6 (IL-6). The levels of phospho-signal transducer and activator of transcription and IL-6, along with secreted IL-6, were significantly downregulated in AKR1C2-silenced TNBC cells.ConclusionOur data indicate that AKR1C2 is an important regulator of cancer growth and metastasis in TNBC and may be a critical determinant of LAR subtype features.

Project description:BACKGROUND:The majority of estrogen receptor-positive (ER?+) breast cancers respond to endocrine therapies. However, resistance to endocrine therapies is common in 30% of cases, which may be due to altered ER? signaling and/or enhanced plasticity of cancer cells leading to breast cancer subtype conversion. The mechanisms leading to enhanced plasticity of ER?-positive cancer cells are unknown. METHODS:We used short hairpin (sh)RNA and/or the CRISPR/Cas9 system to knockdown the expression of the dependence receptor UNC5A in ER?+ MCF7 and T-47D cell lines. RNA-seq, quantitative reverse transcription polymerase chain reaction, chromatin immunoprecipitation, and Western blotting were used to measure the effect of UNC5A knockdown on basal and estradiol (E2)-regulated gene expression. Mammosphere assay, flow cytometry, and immunofluorescence were used to determine the role of UNC5A in restricting plasticity. Xenograft models were used to measure the effect of UNC5A knockdown on tumor growth and metastasis. Tissue microarray and immunohistochemistry were utilized to determine the prognostic value of UNC5A in breast cancer. Log-rank test, one-way, and two-way analysis of variance (ANOVA) were used for statistical analyses. RESULTS:Knockdown of the E2-inducible UNC5A resulted in altered basal gene expression affecting plasma membrane integrity and ER? signaling, as evident from ligand-independent activity of ER?, altered turnover of phosphorylated ER?, unique E2-dependent expression of genes effecting histone demethylase activity, enhanced upregulation of E2-inducible genes such as BCL2, and E2-independent tumorigenesis accompanied by multiorgan metastases. UNC5A depletion led to the appearance of a luminal/basal hybrid phenotype supported by elevated expression of basal/stem cell-enriched ?Np63, CD44, CD49f, epidermal growth factor receptor (EGFR), and the lymphatic vessel permeability factor NTN4, but lower expression of luminal/alveolar differentiation-associated ELF5 while maintaining functional ER?. In addition, UNC5A-depleted cells acquired bipotent luminal progenitor characteristics based on KRT14+/KRT19+ and CD49f+/EpCAM+ phenotype. Consistent with in vitro results, UNC5A expression negatively correlated with EGFR expression in breast tumors, and lower expression of UNC5A, particularly in ER?+/PR+/HER2- tumors, was associated with poor outcome. CONCLUSION:These studies reveal an unexpected role of the axon guidance receptor UNC5A in fine-tuning ER? and EGFR signaling and the luminal progenitor status of hormone-sensitive breast cancers. Furthermore, UNC5A knockdown cells provide an ideal model system to investigate metastasis of ER?+ breast cancers.

Project description:Several clinical trials have investigated the efficacy of bevacizumab in breast cancer, and even if growth inhibiting effects have been registered when antiangiogenic treatment is given in combination with chemotherapy no gain in overall survival has been observed. One reason for the lack of overall survival benefit might be that appropriate criteria for selection of patients likely to respond to antiangiogenic therapy in combination with chemotherapy, are not available. To determine factors of importance for antiangiogenic treatment response and/or resistance, two representative human basal- and luminal-like breast cancer xenografts were treated with bevacizumab and doxorubicin alone or in combination. In vivo growth inhibition, microvessel density (MVD) and proliferating tumor vessels (pMVD = proliferative microvessel density) were analysed, while kinase activity was determined using the PamChip Tyrosine kinase microarray system. Results showed that both doxorubicin and bevacizumab inhibited basal-like tumor growth significantly, but with a superior effect when given in combination. In contrast, doxorubicin inhibited luminal-like tumor growth most effectively, and with no additional benefit of adding antiangiogenic therapy. In agreement with the growth inhibition data, vascular characterization verified a more pronounced effect of the antiangiogenic treatment in the basal-like compared to the luminal-like tumors, demonstrating total inhibition of pMVD and a significant reduction in MVD at early time points (three days after treatment) and sustained inhibitory effects until the end of the experiment (day 18). In contrast, luminal-like tumors only showed significant effect on the vasculature at day 10 in the tumors having received both doxorubicin and bevacizumab. Kinase activity profiling in both tumor models demonstrated that the most effective treatment in vivo was accompanied with increased phosphorylation of kinase substrates of growth control and angiogenesis, like EGFR, VEGFR2 and PLC?1. This may be a result of regulatory feedback mechanisms contributing to treatment resistance, and may suggest response markers of value for the prediction of antiangiogenic treatment efficacy.

Dataset Information

Rare steroid receptor-negative basal-like tumorigenic cells in luminal subtype human breast cancer xenografts.

Publications

Rare steroid receptor-negative basal-like tumorigenic cells in luminal subtype human breast cancer xenografts.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets