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Baglamis S, Sheraton VM, van Neerven SM, Logiantara A, Nijman LE, Hageman LA, Léveillé N, Elbers CC, Bijlsma MF, Vermeulen L, Krawczyk PM, Lenos KJ. Clonal dispersal is associated with tumor heterogeneity and poor prognosis in colorectal cancer. iScience 2025; 28:112403. [PMID: 40330878 PMCID: PMC12051713 DOI: 10.1016/j.isci.2025.112403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Revised: 01/27/2025] [Accepted: 04/07/2025] [Indexed: 05/08/2025] Open
Abstract
Clonal dispersal, resulting from the intermingling of tumor cell subpopulations, is thought to be a key driver of tumor heterogeneity. Despite advances in spatial modeling of cancer biology, quantification of clonal dispersal has been challenging. This study introduces a straightforward method, relying on fluorescent cell barcoding, to quantify clonal dispersal in various in vitro and in vivo models of colorectal cancer (CRC). Our approach allows for precise localization of clones and uncovering the degree of clonal mixing across different CRC models. Our findings suggest that clonal dispersal is correlated with the expression of genes involved in epithelial-mesenchymal transition and CMS4-related signaling pathways. We further identify a dispersal gene signature, associated with intratumor heterogeneity, which is a robust clinical predictor of poor prognosis and recurrence in CRC, highlighting its potential as a prognostic marker and a putative direction for therapeutic targeting.
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Affiliation(s)
- Selami Baglamis
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
| | - Vivek M. Sheraton
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
- University of Amsterdam, Informatics Institute, Computational Science Lab, 1090 GH Amsterdam, the Netherlands
| | - Sanne M. van Neerven
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
- University of Cambridge, Wellcome Trust–Cancer Research UK Gurdon Institute, Cambridge CB2 1QN, UK
| | - Adrian Logiantara
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
| | - Lisanne E. Nijman
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
| | - Laura A. Hageman
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
| | - Nicolas Léveillé
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
| | - Clara C. Elbers
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
| | - Maarten F. Bijlsma
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
| | - Louis Vermeulen
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
- Genentech, Department of Discovery Oncology, South San Francisco, CA 94080, USA
| | - Przemek M. Krawczyk
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Amsterdam UMC, University of Amsterdam, Department of Medical Biology, 1105 AZ Amsterdam, the Netherlands
| | - Kristiaan J. Lenos
- Amsterdam UMC, University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, 1081 BT Amsterdam, the Netherlands
- Cancer Center Amsterdam, Amsterdam, the Netherlands
- Oncode Institute, Amsterdam, 3521 AL Utrecht, the Netherlands
- Amsterdam UMC, University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Meibergdreef 9, Amsterdam, the Netherlands
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Bielecka-Wajdman AM, Ludyga T, Smyk D, Smyk W, Mularska M, Świderek P, Majewski W, Mullins CS, Linnebacher M, Obuchowicz E. Glucose Influences the Response of Glioblastoma Cells to Temozolomide and Dexamethasone. Cancer Control 2022; 29:10732748221075468. [PMID: 35225010 PMCID: PMC8891890 DOI: 10.1177/10732748221075468] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Objective Current research indicates that weakness of glucose metabolism plays an important role in silencing of invasiveness and growth of hypoxic tumors such as GBM. Moreover, there are indications that DXM, frequently used in treatment, may support GBM energy metabolism and provoke its recurrence. Methods We carried out in vitro experiments on the commercial T98G cell line and two primary GBM lines (HROG02, HROG17) treated with TMZ and/or DXM in physiological oxygen conditions for GBM (2.5% oxygen) and for comparison, in standard laboratory conditions (20% oxygen). The influence of different glucose levels on selected malignancy features of GBM cells-cellular viability and division, dynamic of cell culture changes, colony formation and concentration of InsR have been elevated. Results Under 2.5% oxygen and high glucose concentration, an attenuated cytotoxic effect of TMZ and intensification of malignancy features in all glioblastoma cell lines exposed to DXM was seen. Furthermore, preliminary retrospective analysis to assess the correlation between serum glucose levels and Ki-67 expression in surgical specimens derived from patients with GBM (IV) treated with radio-chemotherapy and prophylactic DXM therapy was performed. Conclusion The data suggest a link between the in vitro study results and clinical data. High glucose can influence on GBM progression through the promotion of the following parameters: cell viability, dispersal, InsR expression and cell proliferation (Ki-67). However, this problem needs more studies and explain the mechanism of action studied drugs.
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Affiliation(s)
- Anna M Bielecka-Wajdman
- Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
- Anna Bielecka-Wajdman, Department of Pharmacology, Medical University of Silesia, Medyków 18, Katowice 40-055, Poland.
| | - Tomasz Ludyga
- Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
| | - Daria Smyk
- Student Research Circle at the Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
| | - Wojciech Smyk
- Student Research Circle at the Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
| | - Magdalena Mularska
- Student Research Circle at the Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
| | - Patrycja Świderek
- Student Research Circle at the Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
| | - Wojciech Majewski
- Department of Radiotherapy, Maria Sklodowska-Curie Institute Oncology Center, Branch in Gliwice, Gliwice, Poland
| | | | - Michael Linnebacher
- Department of General Surgery, Molecular Oncology and Immunotherapy, Rostock University Medical Center, Rostock, Germany
| | - Ewa Obuchowicz
- Department of Pharmacology, School of Medicine in Katowice, Medical University of Silesia, Katowice, Poland
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Zhao Y, Fu X, Lopez JI, Rowan A, Au L, Fendler A, Hazell S, Xu H, Horswell S, Shepherd STC, Spain L, Byrne F, Stamp G, O'Brien T, Nicol D, Augustine M, Chandra A, Rudman S, Toncheva A, Pickering L, Sahai E, Larkin J, Bates PA, Swanton C, Turajlic S, Litchfield K. Selection of metastasis competent subclones in the tumour interior. Nat Ecol Evol 2021; 5:1033-1045. [PMID: 34002049 PMCID: PMC7611703 DOI: 10.1038/s41559-021-01456-6] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 03/03/2021] [Indexed: 02/07/2023]
Abstract
The genetic evolutionary features of solid tumour growth are becoming increasingly well described, but the spatial and physical nature of subclonal growth remains unclear. Here, we utilize 102 macroscopic whole-tumour images from clear cell renal cell carcinoma patients, with matched genetic and phenotypic data from 756 biopsies. Utilizing a digital image processing pipeline, a renal pathologist marked the boundaries between tumour and normal tissue and extracted positions of boundary line and biopsy regions to X and Y coordinates. We then integrated coordinates with genomic data to map exact spatial subclone locations, revealing how genetically distinct subclones grow and evolve spatially. We observed a phenotype of advanced and more aggressive subclonal growth in the tumour centre, characterized by an elevated burden of somatic copy number alterations and higher necrosis, proliferation rate and Fuhrman grade. Moreover, we found that metastasizing subclones preferentially originate from the tumour centre. Collectively, these observations suggest a model of accelerated evolution in the tumour interior, with harsh hypoxic environmental conditions leading to a greater opportunity for driver somatic copy number alterations to arise and expand due to selective advantage. Tumour subclone growth is predominantly spatially contiguous in nature. We found only two cases of subclone dispersal, one of which was associated with metastasis. The largest subclones spatially were dominated by driver somatic copy number alterations, suggesting that a large selective advantage can be conferred to subclones upon acquisition of these alterations. In conclusion, spatial dynamics is strongly associated with genomic alterations and plays an important role in tumour evolution.
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Affiliation(s)
- Yue Zhao
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao Fu
- Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK
| | - Jose I Lopez
- Department of Pathology, Cruces University Hospital, Biocruces-Bizkaia Institute, Barakaldo, Spain
| | - Andrew Rowan
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Lewis Au
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
- Renal and Skin Unit, the Royal Marsden NHS Foundation Trust, London, UK
| | - Annika Fendler
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
| | - Steve Hazell
- Department of Pathology, The Royal Marsden NHS Foundation Trust, London, UK
| | - Hang Xu
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Stuart Horswell
- Department of Bioinformatics and Biostatistics, The Francis Crick Institute, London, UK
| | - Scott T C Shepherd
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
- Renal and Skin Unit, the Royal Marsden NHS Foundation Trust, London, UK
| | - Lavinia Spain
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
- Renal and Skin Unit, the Royal Marsden NHS Foundation Trust, London, UK
| | - Fiona Byrne
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK
| | - Gordon Stamp
- Experimental Histopathology Laboratory, The Francis Crick Institute, London, UK
| | - Tim O'Brien
- Urology Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - David Nicol
- Department of Urology, The Royal Marsden NHS Foundation Trust, London, UK
| | - Marcellus Augustine
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Ashish Chandra
- Department of Pathology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Sarah Rudman
- Department of Medical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Lisa Pickering
- Renal and Skin Unit, the Royal Marsden NHS Foundation Trust, London, UK
| | - Erik Sahai
- Tumour Cell Biology Laboratory, The Francis Crick Institute, London, UK
| | - James Larkin
- Renal and Skin Unit, the Royal Marsden NHS Foundation Trust, London, UK
| | - Paul A Bates
- Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK.
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Department of Medical Oncology, University College London Hospitals, London, UK.
| | - Samra Turajlic
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK.
- Renal and Skin Unit, the Royal Marsden NHS Foundation Trust, London, UK.
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK.
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Bunevicius A, Schregel K, Sinkus R, Golby A, Patz S. REVIEW: MR elastography of brain tumors. Neuroimage Clin 2019; 25:102109. [PMID: 31809993 PMCID: PMC6909210 DOI: 10.1016/j.nicl.2019.102109] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/19/2019] [Accepted: 11/22/2019] [Indexed: 12/28/2022]
Abstract
MR elastography allows non-invasive quantification of the shear modulus of tissue, i.e. tissue stiffness and viscosity, information that offers the potential to guide presurgical planning for brain tumor resection. Here, we review brain tumor MRE studies with particular attention to clinical applications. Studies that investigated MRE in patients with intracranial tumors, both malignant and benign as well as primary and metastatic, were queried from the Pubmed/Medline database in August 2018. Reported tumor and normal appearing white matter stiffness values were extracted and compared as a function of tumor histopathological diagnosis and MRE vibration frequencies. Because different studies used different elastography hardware, pulse sequences, reconstruction inversion algorithms, and different symmetry assumptions about the mechanical properties of tissue, effort was directed to ensure that similar quantities were used when making inter-study comparisons. In addition, because different methodologies and processing pipelines will necessarily bias the results, when pooling data from different studies, whenever possible, tumor values were compared with the same subject's contralateral normal appearing white matter to minimize any study-dependent bias. The literature search yielded 10 studies with a total of 184 primary and metastatic brain tumor patients. The group mean tumor stiffness, as measured with MRE, correlated with intra-operatively assessed stiffness of meningiomas and pituitary adenomas. Pooled data analysis showed significant overlap between shear modulus values across brain tumor types. When adjusting for the same patient normal appearing white matter shear modulus values, meningiomas were the stiffest tumor-type. MRE is increasingly being examined for potential in brain tumor imaging and might have value for surgical planning. However, significant overlap of shear modulus values between a number of different tumor types limits applicability of MRE for diagnostic purposes. Thus, further rigorous studies are needed to determine specific clinical applications of MRE for surgical planning, disease monitoring and molecular stratification of brain tumors.
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Affiliation(s)
- Adomas Bunevicius
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, United States; Harvard Medical School, Boston, MA, United States.
| | - Katharina Schregel
- Institute of Neuroradiology, University Medical Center Goettingen, Goettingen, Germany
| | - Ralph Sinkus
- Inserm U1148, LVTS, University Paris Diderot, University Paris 13, Paris, France
| | - Alexandra Golby
- Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, United States; Harvard Medical School, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, United States
| | - Samuel Patz
- Harvard Medical School, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, United States.
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Logun M, Zhao W, Mao L, Karumbaiah L. Microfluidics in Malignant Glioma Research and Precision Medicine. ADVANCED BIOSYSTEMS 2018; 2:1700221. [PMID: 29780878 PMCID: PMC5959050 DOI: 10.1002/adbi.201700221] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Indexed: 01/09/2023]
Abstract
Glioblastoma multiforme (GBM) is an aggressive form of brain cancer that has no effective treatments and a prognosis of only 12-15 months. Microfluidic technologies deliver microscale control of fluids and cells, and have aided cancer therapy as point-of-care devices for the diagnosis of breast and prostate cancers. However, a few microfluidic devices are developed to study malignant glioma. The ability of these platforms to accurately replicate the complex microenvironmental and extracellular conditions prevailing in the brain and facilitate the measurement of biological phenomena with high resolution and in a high-throughput manner could prove useful for studying glioma progression. These attributes, coupled with their relatively simple fabrication process, make them attractive for use as point-of-care diagnostic devices for detection and treatment of GBM. Here, the current issues that plague GBM research and treatment, as well as the current state of the art in glioma detection and therapy, are reviewed. Finally, opportunities are identified for implementing microfluidic technologies into research and diagnostics to facilitate the rapid detection and better therapeutic targeting of GBM.
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Affiliation(s)
- Meghan Logun
- Regenerative Bioscience Center, ADS Complex, University of Georgia, 425 River Road, Athens, GA 30602-2771, USA
| | - Wujun Zhao
- Department of Chemistry, University of Georgia, Athens, GA 30602-2771, USA
| | - Leidong Mao
- School of Electrical and Computer Engineering, College of Engineering, University of Georgia, Athens, GA 30602-2771, USA
| | - Lohitash Karumbaiah
- Regenerative Bioscience Center, ADS Complex, University of Georgia, 425 River Road, Athens, GA 30602-2771, USA
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In-depth phenotypic characterization of multicellular tumor spheroids: Effects of 5-Fluorouracil. PLoS One 2017; 12:e0188100. [PMID: 29141026 PMCID: PMC5687732 DOI: 10.1371/journal.pone.0188100] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Accepted: 10/31/2017] [Indexed: 01/27/2023] Open
Abstract
MultiCellular Tumor Spheroids (MCTS), which mimic the 3-Dimensional (3D) organization of a tumor, are considered as better models than conventional cultures in 2-Dimensions (2D) to study cancer cell biology and to evaluate the response to chemotherapeutic drugs. A real time and quantitative follow-up of MCTS with simple and robust readouts to evaluate drug efficacy is still missing. Here, we evaluate the chemotherapeutic drug 5-Fluorouracil (5-FU) response on the growth and integrity of MCTS two days after treatment of MCTS and for three colorectal carcinoma cell lines with different cohesive properties (HT29, HCT116 and SW480). We found different sensitivity to 5-FU for the three CRC cell lines, ranging from high (SW480), intermediate (HCT116) and low (HT29) and the same hierarchy of CRC cell lines sensitivity is conserved in 2D. We also evidence that 5-FU has a strong impact on spheroid cohesion, with the apparition of a number of single detaching cells from the spheroid in a 5-FU dose- and cell line-dependent manner. We propose an innovative methodology for the chemosensitivity evaluation in 3D MCTS that recapitulates and regionalizes the 5-FU-induced changes within MCTS over time. These robust phenotypic read-outs could be easily scalable for high-throughput drug screening that may include different types of cancer cells to take into account tumor heterogeneity and resistance to treatment.
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Jung EH, Lee HN, Han GY, Kim MJ, Kim CW. Targeting ROR1 inhibits the self-renewal and invasive ability of glioblastoma stem cells. Cell Biochem Funct 2016; 34:149-57. [PMID: 26923195 DOI: 10.1002/cbf.3172] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 01/25/2016] [Accepted: 01/26/2016] [Indexed: 11/07/2022]
Abstract
Glioblastoma is the most malignant of brain tumours and is difficult to cure because of interruption of drug delivery by the blood-brain barrier system, its high metastatic capacity and the existence of cancer stem cells (CSCs). Although CSCs are present as a small population in malignant tumours, CSCs have been studied as they are responsible for causing recurrence, metastasis and resistance to chemotherapy and radiotherapy for cancer. CSCs have self-renewal characteristics like normal stem cells. The aim of this study was to investigate whether receptor tyrosine kinase-like orphan receptor 1 (ROR1) is involved in stem cell maintenance and malignant properties in human glioblastoma. Knockdown of ROR1 caused reduction of stemness and sphere formation capacity. Moreover, down-regulation of ROR1 suppressed the expression of epithelial-mesenchymal transition-related genes and the tumour migratory and invasive abilities. The results of this study indicate that targeting ROR1 can induce differentiation of CSCs and inhibit metastasis in glioblastoma. In addition, ROR1 may be used as a potential marker for glioblastoma stem cells as well as a potential target for glioblastoma stem cell therapy.
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Affiliation(s)
- Eun-Hwa Jung
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Korea
| | - Han-Na Lee
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Korea
| | - Gi-Yeon Han
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Korea
| | - Min-Jung Kim
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Korea.,Ministry of Food and Drug Safety, Chungcheongbuk-do, Korea
| | - Chan-Wha Kim
- Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul, Korea
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