Project description:The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model (PDBCX) was investigated using flow cytometry , combined with assessment of in vivo tumorigenicity and whole genome expression profiling. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. FACS sorting was used to isolate four cell subpopulations. Results: In vivo tumorigenicity assay showed that SSEA-4+/CD24+ cells were non-tumorigenic, while the three other subpopulations were tumorigenic. Tumors resulting from the SSEA-4+/CD24- subpopulation of luminal cancer cells, did not express CD24, while tumors arising from the SSEA-4-/CD24-, and SSEA-4-/CD24+ populations both recapitulated the original tumor containing all four subpopulations. Whole genome expression analysis revealed distinct transcriptional profiles, and 44 genes were significantly differentially expressed when comparing the tumorigenic vs non-tumorigenic populations. Several interesting genes putatively suppressing the cancer cells ability to initiate tumors in vivo were upregulated in the non-tumorigenic population. We here show that tumor initiating cells within one primary tumor evidently included more than one phenotype. Furthermore, with respect to cell surface marker expression, one of the subpopulations produced tumors unlike both the originating cells, and the original tumor. Discussion: Our results imply that subpopulations from one primary tumor can give rise to dissimilar daughter tumors. These tumors may not necessarily respond to the same targeted treatment, and thereby represent a therapy escape mechanism. This study highlights that to remove the risk of breast cancer recurrence, inhibition of the molecules critical for driving the tumor progression in several tumor cell subpopulations might be essential Gene expression was measured in four cell subpopulations isolated from Patient derived human luminal-like breast cancer xenograft. Four replicates from three subpopulations and three replicates from one subpopulation.

Project description:The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model (PDBCX) was investigated using flow cytometry , combined with assessment of in vivo tumorigenicity and whole genome expression profiling. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. FACS sorting was used to isolate four cell subpopulations. Results: In vivo tumorigenicity assay showed that SSEA-4+/CD24+ cells were non-tumorigenic, while the three other subpopulations were tumorigenic. Tumors resulting from the SSEA-4+/CD24- subpopulation of luminal cancer cells, did not express CD24, while tumors arising from the SSEA-4-/CD24-, and SSEA-4-/CD24+ populations both recapitulated the original tumor containing all four subpopulations. Whole genome expression analysis revealed distinct transcriptional profiles, and 44 genes were significantly differentially expressed when comparing the tumorigenic vs non-tumorigenic populations. Several interesting genes putatively suppressing the cancer cells ability to initiate tumors in vivo were upregulated in the non-tumorigenic population. We here show that tumor initiating cells within one primary tumor evidently included more than one phenotype. Furthermore, with respect to cell surface marker expression, one of the subpopulations produced tumors unlike both the originating cells, and the original tumor. Discussion: Our results imply that subpopulations from one primary tumor can give rise to dissimilar daughter tumors. These tumors may not necessarily respond to the same targeted treatment, and thereby represent a therapy escape mechanism. This study highlights that to remove the risk of breast cancer recurrence, inhibition of the molecules critical for driving the tumor progression in several tumor cell subpopulations might be essential

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.

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Differential in vivo tumorigenicity of distinct subpopulations from a luminal-like breast cancer model (SNP)

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