Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA151839 | ENA |
REPOSITORIES: ENA
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Project description:Estrogen and progesterone receptor dynamics in patient-derived luminal breast cancer xenografts
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Project description:One of the greatest advances in therapy of estrogen receptor positive breast cancer has been the development of endocrine therapy. More than two thirds of primary breast tumors express estrogen receptor alpha (ERα) and their growth is mainly dependent on estrogen receptor activity. Several therapeutic approaches have thus been designed to inhibit ER activity in breast tissue. Tamoxifen, a selective ER modulator, is one of the main treatment options for premenopausal women with advanced ER positive breast cancer, and has also become well established as adjuvant therapy in the early breast cancer setting (Davies et al., 2011; Group, 1998; Jaiyesimi et al., 1995). In contrast to tamoxifen, which in other tissues such as bone and endometrium, can exert partial agonistic activity (Braithwaite et al., 2003; Fisher et al., 1994; Pietras, 2006), the selective ER downregulator, fulvestrant, is a potent ER antagonist. Binding of fulvestrant to ER inhibits receptor dimerization and nuclear uptake, prevents estrogen-response element binding and accelerates ER degradation (Dauvois et al., 1993; Dowsett et al., 2005; Fawell et al., 1990; Wakeling et al., 1991). Fulvestrant is approved for treatment of postmenopausal women with advanced breast cancer who have relapsed or progressed on first-line endocrine therapy (Howell et al., 2002; Osborne et al., 2002; Robertson et al., 2003). Estrogen deprivation by treatment with aromatase inhibitors (such as letrozole, anastrozole or exemestane) which block synthesis of estrogens is another effective therapy option in postmenopausal women (Bonneterre et al., 2000; Cuzick et al., 2010; Dowsett et al., 2010; Mouridsen et al., 2001; Nabholtz et al., 2000). The large majority of patients with ER+ breast cancer experience an initial response to endocrine therapy, however, in many of these patients, the disease subsequently progresses and eventually anti-estrogen therapy ceases to have effect. Biomarkers predicting response to estrogen deprivation and new alternative treatments targeting the pathways supporting estrogen independent growth are therefore urgently needed (Patani and Martin, 2014; Patani et al., 2013). In order to understand how tumors respond to withdrawal of their main growth signal, a comparison of molecular features of tumor before and during endocrine therapy is necessary, and the fate of individual cancer cell sub-clones should be monitored. Since studies of cellular dynamics are very difficult to perform with clinical material, we made use of a patient derived, estrogen dependent, orthotopically growing luminal-like primary breast cancer xenograft model (PDX) (Bergamaschi et al., 2009; Huuse et al., 2012). This PDX model is a representative model for luminal breast cancers as the molecular characteristics, cellular heterogeneity and estrogen dependency of the primary tumor are retained over many passages. Functionally different subpopulations of cancer cells were previously defined by expression of the markers CD24 and SSEA-4 in this model (Skrbo et al., 2014), and it is therefore a suitable model for comparison of cellular and molecular effects of estrogen deprivation and ER-signaling inhibition. In this study, a quantitative MS-based proteomic analysis using SILAC and a label-free approach were performed, aiming to map changes in protein expression induced by endocrine therapy. Inhibition of ER-signaling seemed to induce CD24 and SSEA-4 expression on residual tumor cells. Proteomic analysis revealed overexpression of enzymes involved in TCA cycle, oxidative phosphorylation and fatty acid beta-oxidation following endocrine treatment when compared to untreated tumors. These results indicated possible reprogramming of cell metabolism and utilization of aerobic respiration, i.e. oxidative phosphorylation, in response to endocrine therapy.
2022-02-28 | PXD002352 | Pride
Project description:Acquired resistance to endocrine therapy occurs with high frequency in patients with luminal breast cancer (LBC). We report here the establishment of four patient-derived xenograft models of LBC with acquired resistance in vivo to tamoxifen and estrogen deprivation.
2014-07-09 | GSE55561 | GEO
Project description:Elf5 expression in mammary progenitor cells regulates a cell fate decision that establishes the alveolar cell lineage. In luminal breast cancer cells, increased Elf5 expression suppressed estrogen receptor and FoxA1 expression and was implicated in the acquisition of resistance to the cytostatic effects of antiestrogen therapy. We show that in the PyMT model of luminal breast cancer, increased Elf5 expression drives lung metastasis by recruiting myeloid-‐derived suppressor cells, and that this activity overcomes the epithelializing influence of Elf5. Breast cancer expression signatures identify a similar process in humans, and increased Elf5 immunohistochemical staining predicts poor prognosis in the luminal A subgroup. Thus Elf5 may promote escape from hormonal therapy and drive metastasis in luminal breast cancer.
2015-12-30 | GSE58728 | GEO
Project description:Elf5 expression in mammary progenitor cells regulates a cell fate decision that establishes the alveolar cell lineage. In luminal breast cancer cells, increased Elf5 expression suppressed estrogen receptor and FoxA1 expression and was implicated in the acquisition of resistance to the cytostatic effects of antiestrogen therapy. We show that in the PyMT model of luminal breast cancer, increased Elf5 expression drives lung metastasis by recruiting myeloid-‐derived suppressor cells, and that this activity overcomes the epithelializing influence of Elf5. Breast cancer expression signatures identify a similar process in humans, and increased Elf5 immunohistochemical staining predicts poor prognosis in the luminal A subgroup. Thus Elf5 may promote escape from hormonal therapy and drive metastasis in luminal breast cancer.
2015-12-30 | GSE58726 | GEO