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Skrbo N, Kirik U, Kristian A, Cifani P, Antberg L, Moestue SA, Engebraaten O, Mælandsmo GM, Andersen K, James P, Sørlie T. Abstract A36: Protein expression analysis of intratumor heterogeneity in a luminal-like breast cancer xenograft. Mol Cancer Res 2016. [DOI: 10.1158/1557-3125.advbc15-a36] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Estrogen receptor is a key driver in breast cancer and is expressed in about 75% of breast tumors. ER positive tumors are susceptible to endocrine therapies; however, the major obstacle for curative treatment is recurrence due to resistance to anti-estrogens. Endocrine therapies may induce a selective pressure promoting growth of estrogen independent cell subclones. Our aim was to reveal molecular changes occurring in tumors in response to anti-estrogen treatment, and to identify subpopulations of cells able to withstand anti-estrogen treatment.
A luminal-like estrogen-dependent orthotopically growing xenograft model was treated with fulvestrant, or exposed to estrogen deprivation. The effect of ER-signaling inhibition was analyzed using quantitative mass spectrometry (MS) -based proteomic analysis and high resolution magic angle spinning magnetic resonance spectroscopy (HR MAS MRS). Cell surface marker expression (CD24 and SSEA-4) was monitored by flow cytometry, allowing detailed comparison of protein expression between intratumor cell subpopulations.
We found that both modes of anti-estrogen therapy restrained tumor growth and induced expression of enzymes involved in TCA cycle, oxidative phosphorylation and fatty acid beta-oxidation. This was accompanied by changes in levels of specific metabolites indicative of a possible reprogramming of cell metabolism and utilization of oxidative phosphorylation in preference to aerobic glycolysis (decrease in Warburg effect). Furthermore, anti-estrogen treatment seemed to have selective effects on intratumor cell subpopulations, specified by expression of the markers CD24 and SSEA-4. More specifically, highly tumorigenic CD24low/SSEA-4low (dbl. low) cells were eliminated and the seemingly more benign CD24high/SSEA-4high (dbl. high) cells were enriched in the residual tumor. When comparing the proteome in dbl. low verus dbl. high cells sorted from untreated tumors, metabolism was one of the most differentially enriched processes. Enzymes involved in glycolysis, TCA cycle, respiratory electron transport chain and fatty acid were more abundant in the dbl. high subpopulation.
These results suggest that cancer cells may reprogram their metabolism in response to anti-estrogen therapy to support a less estrogen-dependent phenotype. Moreover, subpopulations of cells with different metabolism may exist within the growing tumor, and these may respond differently to anti-estrogen treatment.
Citation Format: Nirma Skrbo, Ufuk Kirik, Alexandr Kristian, Paolo Cifani, Linn Antberg, Siver A. Moestue, Olav Engebraaten, Gunhild M. Mælandsmo, Kristin Andersen, Peter James, Therese Sørlie. Protein expression analysis of intratumor heterogeneity in a luminal-like breast cancer xenograft. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr A36.
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Affiliation(s)
| | - Ufuk Kirik
- 2CREATE Health, Lund University, Lund, Sweden,
| | | | | | | | - Siver A. Moestue
- 3Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | | | - Peter James
- 2CREATE Health, Lund University, Lund, Sweden,
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Sandin M, Antberg L, Levander F, James P. A Breast Cell Atlas: Organelle analysis of the MDA-MB-231 cell line by density-gradient fractionation using isotopic marking and label-free analysis. EuPA Open Proteomics 2015. [DOI: 10.1016/j.euprot.2015.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Skrbo N, Andersen K, Kristian A, Antberg L, Hjortland GO, Egenbråten O, James P, Mælandsmo GM, Sørlie T. Abstract 245: Phenotypically diverse cancer cell subpopulations in a luminal-like breast cancer xenograft model are associated with different signaling pathways. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
High degree of intratumor cellular diversity represent a major challenge when attempting to cure cancer. The presence of tumor cell subpopulations with enhanced in vivo tumorigenic capacity (tumor initiating cells, TICs), and high resistance to conventional cancer therapy, compared with the “bulk” tumor cell populations, has for the last decade been the focus of many breast cancer research groups. The cellular heterogeneity of an orthotopic luminal-like breast cancer xenograft model was investigated using IHC, flow cytometry, whole genome expression profiling and mass spectrometry-based proteomics combined with in vivo tumorigenicity and targeted therapy assays. Epithelial cell adhesion molecule, EpCAM, highly specific for the human tumor epithelial cells, was used to separate human tumor cells from the mouse stromal compartment.
Further flow analysis of the EpCAM positive tumor cell population revealed diverse expression of several cell surface markers, including CD24 and SSEA-4 (stage specific embryonic antigen 4).
SSEA-4-/CD24-, SSEA-4+/CD24- and SSEA-4-/CD24+ populations were capable of initiating tumors in NOD SCID mice while SSEA-4+/CD24+ cells were non-tumorigenic. Tumors resulting from the SSEA-4+/CD24- subpopulation did not express CD24, while tumors arising from the SSEA-4-/CD24- and SSEA-4-/CD24+ populations, contained all four subpopulations.
As measured by whole genome expression analysis and mass spectrometry-based proteomics, the molecular differences were most pronounced between tumorigenic subpopulations and the non-tumorigenic subpopulation. While the mRNA expression data revealed a high degree of similarity among the four subpopulations, the proteomics data suggested that several signaling pathways might have distinct and different activity across the populations. The effects of targeted therapy against ER and WNT signaling on heterogeneity and tumorigenicity have been evaluated by in vivo experiments.
Citation Format: Nirma Skrbo, Kristin Andersen, Alexandr Kristian, Linn Antberg, Geir Olav Hjortland, Olav Egenbråten, Peter James, Gunhild Mari Mælandsmo, Therese Sørlie. Phenotypically diverse cancer cell subpopulations in a luminal-like breast cancer xenograft model are associated with different signaling pathways. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 245. doi:10.1158/1538-7445.AM2013-245
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Affiliation(s)
- Nirma Skrbo
- 1Oslo University Hospital Norwegian Radium Hospital, Oslo, Norway
| | - Kristin Andersen
- 1Oslo University Hospital Norwegian Radium Hospital, Oslo, Norway
| | | | - Linn Antberg
- 2Department of Immunotechnology, Lund University, Lund, Sweden
| | | | - Olav Egenbråten
- 1Oslo University Hospital Norwegian Radium Hospital, Oslo, Norway
| | - Peter James
- 2Department of Immunotechnology, Lund University, Lund, Sweden
| | | | - Therese Sørlie
- 1Oslo University Hospital Norwegian Radium Hospital, Oslo, Norway
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Antberg L, Cifani P, Sandin M, Levander F, James P. Critical Comparison of Multidimensional Separation Methods for Increasing Protein Expression Coverage. J Proteome Res 2012; 11:2644-52. [DOI: 10.1021/pr201257y] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Linn Antberg
- Protein Technology,
Department of Immunotechnology,
CREATE Health, Lund University, Sweden
| | - Paolo Cifani
- Protein Technology,
Department of Immunotechnology,
CREATE Health, Lund University, Sweden
| | - Marianne Sandin
- Protein Technology,
Department of Immunotechnology,
CREATE Health, Lund University, Sweden
| | - Fredrik Levander
- Protein Technology,
Department of Immunotechnology,
CREATE Health, Lund University, Sweden
| | - Peter James
- Protein Technology,
Department of Immunotechnology,
CREATE Health, Lund University, Sweden
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Dexlin-Mellby L, Sandström A, Antberg L, Gunnarsson J, Hansson SR, Borrebaeck CA, Wingren C. Design of recombinant antibody microarrays for membrane protein profiling of cell lysates and tissue extracts. Proteomics 2011; 11:1550-4. [DOI: 10.1002/pmic.200900808] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2009] [Revised: 01/14/2011] [Accepted: 01/24/2011] [Indexed: 11/06/2022]
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