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Zikry TM, Wolff SC, Ranek JS, Davis HM, Naugle A, Luthra N, Whitman AA, Kedziora KM, Stallaert W, Kosorok MR, Spanheimer PM, Purvis JE. Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2- breast tumor cells. Proc Natl Acad Sci U S A 2024; 121:e2309261121. [PMID: 38324568 PMCID: PMC10873600 DOI: 10.1073/pnas.2309261121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 01/05/2024] [Indexed: 02/09/2024] Open
Abstract
The CDK4/6 inhibitor palbociclib blocks cell cycle progression in Estrogen receptor-positive, human epidermal growth factor 2 receptor-negative (ER+/HER2-) breast tumor cells. Despite the drug's success in improving patient outcomes, a small percentage of tumor cells continues to divide in the presence of palbociclib-a phenomenon we refer to as fractional resistance. It is critical to understand the cellular mechanisms underlying fractional resistance because the precise percentage of resistant cells in patient tissue is a strong predictor of clinical outcomes. Here, we hypothesize that fractional resistance arises from cell-to-cell differences in core cell cycle regulators that allow a subset of cells to escape CDK4/6 inhibitor therapy. We used multiplex, single-cell imaging to identify fractionally resistant cells in both cultured and primary breast tumor samples resected from patients. Resistant cells showed premature accumulation of multiple G1 regulators including E2F1, retinoblastoma protein, and CDK2, as well as enhanced sensitivity to pharmacological inhibition of CDK2 activity. Using trajectory inference approaches, we show how plasticity among cell cycle regulators gives rise to alternate cell cycle "paths" that allow individual tumor cells to escape palbociclib treatment. Understanding drivers of cell cycle plasticity, and how to eliminate resistant cell cycle paths, could lead to improved cancer therapies targeting fractionally resistant cells to improve patient outcomes.
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Affiliation(s)
- Tarek M. Zikry
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC27599
| | - Samuel C. Wolff
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Jolene S. Ranek
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Harris M. Davis
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Ander Naugle
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Namit Luthra
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Austin A. Whitman
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Katarzyna M. Kedziora
- Center for Biologic Imaging, Department of Cell Biology, University of Pittsburg, Pittsburgh, PA15620
| | - Wayne Stallaert
- Department of Computational and Systems Biology, University of Pittsburg, Pittsburgh, PA15620
| | - Michael R. Kosorok
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC27599
| | - Philip M. Spanheimer
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
| | - Jeremy E. Purvis
- Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC27599
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Kim H, Whitman AA, Wisniewska K, Kakati RT, Garcia-Recio S, Calhoun BC, Franco HL, Perou CM, Spanheimer PM. Tamoxifen Response at Single-Cell Resolution in Estrogen Receptor-Positive Primary Human Breast Tumors. Clin Cancer Res 2023; 29:4894-4907. [PMID: 37747807 PMCID: PMC10690085 DOI: 10.1158/1078-0432.ccr-23-1248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 07/18/2023] [Accepted: 09/21/2023] [Indexed: 09/27/2023]
Abstract
PURPOSE In estrogen receptor-positive (ER+)/HER2- breast cancer, multiple measures of intratumor heterogeneity are associated with a worse response to endocrine therapy. We sought to develop a novel experimental model to measure heterogeneity in response to tamoxifen treatment in primary breast tumors. EXPERIMENTAL DESIGN To investigate heterogeneity in response to treatment, we developed an operating room-to-laboratory pipeline for the collection of live normal breast specimens and human tumors immediately after surgical resection for processing into single-cell workflows for experimentation and genomic analyses. Live primary cell suspensions were treated ex vivo with tamoxifen (10 μmol/L) or control media for 12 hours, and single-cell RNA libraries were generated using the 10X Genomics droplet-based kit. RESULTS In total, we obtained and processed normal breast tissue from two women undergoing reduction mammoplasty and tumor tissue from 10 women with ER+/HER2- invasive breast carcinoma. We demonstrate differences in tamoxifen response by cell type and identify distinctly responsive and resistant subpopulations within the malignant cell compartment of human tumors. Tamoxifen resistance signatures from resistant subpopulations predict poor outcomes in two large cohorts of ER+ breast cancer patients and are enriched in endocrine therapy-resistant tumors. CONCLUSIONS This novel ex vivo model system now provides the foundation to define responsive and resistant subpopulations within heterogeneous human tumors, which can be used to develop precise single cell-based predictors of response to therapy and to identify genes and pathways driving therapeutic resistance.
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Affiliation(s)
- Hyunsoo Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Austin A. Whitman
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Kamila Wisniewska
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Rasha T. Kakati
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Susana Garcia-Recio
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Benjamin C. Calhoun
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Hector L. Franco
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
- Computational Medicine Program, University of North Carolina, Chapel Hill, North Carolina
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
- Computational Medicine Program, University of North Carolina, Chapel Hill, North Carolina
| | - Philip M. Spanheimer
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
- Department of Surgery, University of North Carolina, Chapel Hill, North Carolina
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Kim H, Whitman AA, Wisniewska K, Kakati RT, Garcia-Recio S, Calhoun BC, Franco HL, Perou CM, Spanheimer PM. Tamoxifen Response at Single Cell Resolution in Estrogen Receptor-Positive Primary Human Breast Tumors. bioRxiv 2023:2023.04.01.535159. [PMID: 37066379 PMCID: PMC10103953 DOI: 10.1101/2023.04.01.535159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
In ER+/HER2- breast cancer, multiple measures of intra-tumor heterogeneity are associated with worse response to endocrine therapy. To investigate heterogeneity in response to treatment, we developed an operating room-to-laboratory pipeline for the collection of live human tumors and normal breast specimens immediately after surgical resection for processing into single-cell workflows for experimentation and genomic analyses. We demonstrate differences in tamoxifen response by cell type and identify distinctly responsive and resistant subpopulations within the malignant cell compartment of human tumors. Tamoxifen resistance signatures from 3 distinct resistant subpopulations are prognostic in large cohorts of ER+ breast cancer patients and enriched in endocrine therapy resistant tumors. This novel ex vivo model system now provides a foundation to define responsive and resistant sub-populations within heterogeneous tumors, to develop precise single cell-based predictors of response to therapy, and to identify genes and pathways driving resistance to therapy.
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Affiliation(s)
- Hyunsoo Kim
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Austin A. Whitman
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Kamila Wisniewska
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Rasha T. Kakati
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Susana Garcia-Recio
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
| | - Benjamin C. Calhoun
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Hector L. Franco
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
- Department of Genetics, University of North Carolina, Chapel Hill, NC
- Computational Medicine Program, University of North Carolina, Chapel Hill, NC
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Genetics, University of North Carolina, Chapel Hill, NC
- Computational Medicine Program, University of North Carolina, Chapel Hill, NC
| | - Philip M. Spanheimer
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC
- Department of Surgery, University of North Carolina, Chapel Hill, NC
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Abstract
Modifications in surface glycans attached to proteins via N-acetylglucosamine-β1-N-asparagine linkage have been linked to tumor development and progression. These modifications include complex N-glycans with high levels of branching, fucose and sialic acid residues. Previously, we silenced Mgat2 in neuroblastoma (NB) cells, which halted the conversion of hybrid type N-glycans to complex type, to generate a novel cell line, NB_1(-Mgat2). By comparing the aberrant cell properties of the NB_1(-Mgat2) cell line to the parental cell line (NB_1), we investigated the impact of eliminating complex type N-glycans on NB cell behavior. Further, the N-glycosylation pathway in the NB_1(-Mgat2) cell line was rescued by transiently transfecting cells with Mgat2, thus creating the NB_1(-/+Mgat2) cell line. Changes in the N-glycosylation pathway were verified by enhanced binding of E-PHA and L-PHA to proteins in the rescued cell line relative to those of the NB_1(-Mgat2) cell line. Also, western blotting of total membranes from the rescued cell line ectopically expressing a voltage-gated K+ channel (Kv3.1b) revealed that N-glycans of Kv3.1b were processed to complex type. By employment of various cell lines, we demonstrated that reduction of the complex type N-glycans diminished anchorage-independent cell growth, and enhanced cell-cell interactions. Two independent cell invasion assays showed that cell invasiveness was markedly lessened by lowering the levels of complex type N-glycans while cell mobility was only slightly modified. Neurites of NB cells were shortened by the absence of complex type N-glycans. Cell proliferation was reduced in NB cells with lowered levels of complex type N-glycans which resulted from hindered progression through G1+Go phases of the cell cycle. Overall, our results illustrate that reducing the ratio of complex to hybrid types of N-glycans diminishes aberrant NB cell behavior and thereby has a suppressive effect in cell proliferation, and cell dissociation and invasion phases of NB.
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Affiliation(s)
- M. Kristen Hall
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America
| | - Douglas A. Weidner
- Department of Microbiology and Immunology, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America
| | - Austin A. Whitman
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America
| | - Ruth A. Schwalbe
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America
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Hall MK, Weidner DA, Zhu Y, Dayal S, Whitman AA, Schwalbe RA. Predominant Expression of Hybrid N-Glycans Has Distinct Cellular Roles Relative to Complex and Oligomannose N-Glycans. Int J Mol Sci 2016; 17:ijms17060925. [PMID: 27304954 PMCID: PMC4926458 DOI: 10.3390/ijms17060925] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Revised: 05/02/2016] [Accepted: 06/03/2016] [Indexed: 12/22/2022] Open
Abstract
Glycosylation modulates growth, maintenance, and stress signaling processes. Consequently, altered N-glycosylation is associated with reduced fitness and disease. Therefore, expanding our understanding of N-glycans in altering biological processes is of utmost interest. Herein, clustered regularly interspaced short palindromic repeats/caspase9 (CRISPR/Cas9) technology was employed to engineer a glycosylation mutant Chinese Hamster Ovary (CHO) cell line, K16, which expresses predominantly hybrid type N-glycans. This newly engineered cell line enabled us to compare N-glycan effects on cellular properties of hybrid type N-glycans, to the well-established Pro−5 and Lec1 cell lines, which express complex and oligomannose types of N-glycans, respectively. Lectin binding studies revealed the predominant N-glycan expressed in K16 is hybrid type. Cell dissociation and migration assays demonstrated the greatest strength of cell–cell adhesion and fastest migratory rates for oligomannose N-glycans, and these properties decreased as oligomannose type were converted to hybrid type, and further decreased upon conversion to complex type. Next, we examined the roles of three general types of N-glycans on ectopic expression of E-cadherin, a cell–cell adhesion protein. Microscopy revealed more functional E-cadherin at the cell–cell border when N-glycans were oligomannose and these levels decreased as the oligomannose N-glycans were processed to hybrid and then to complex. Thus, we provide evidence that all three general types of N-glycans impact plasma membrane architecture and cellular properties.
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Affiliation(s)
- M Kristen Hall
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, 600 Moye Boulevard, Greenville, NC 27834, USA.
| | - Douglas A Weidner
- Department of Microbiology and Immunology, Brody School of Medicine, East Carolina University, 600 Moye Boulevard, Greenville, NC 27834, USA.
| | - Yong Zhu
- Department of Biology, East Carolina University, 1000 E. 5th Street, Greenville, NC 27858, USA.
| | - Sahil Dayal
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, 600 Moye Boulevard, Greenville, NC 27834, USA.
| | - Austin A Whitman
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, 600 Moye Boulevard, Greenville, NC 27834, USA.
| | - Ruth A Schwalbe
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, 600 Moye Boulevard, Greenville, NC 27834, USA.
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