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Neilson LJ, Cartwright D, Risteli M, Jokinen EM, McGarry L, Sandvik T, Nikolatou K, Hodge K, Atkinson S, Vias M, Kay EJ, Brenton JD, Carlin LM, Bryant DM, Salo T, Zanivan S. Omentum-derived matrix enables the study of metastatic ovarian cancer and stromal cell functions in a physiologically relevant environment. Matrix Biol Plus 2023; 19-20:100136. [PMID: 38223308 PMCID: PMC10784634 DOI: 10.1016/j.mbplus.2023.100136] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 10/20/2023] [Accepted: 11/12/2023] [Indexed: 01/16/2024] Open
Abstract
High-grade serous (HGS) ovarian cancer is the most lethal gynaecological disease in the world and metastases is a major cause. The omentum is the preferential metastatic site in HGS ovarian cancer patients and in vitro models that recapitulate the original environment of this organ at cellular and molecular level are being developed to study basic mechanisms that underpin this disease. The tumour extracellular matrix (ECM) plays active roles in HGS ovarian cancer pathology and response to therapy. However, most of the current in vitro models use matrices of animal origin and that do not recapitulate the complexity of the tumour ECM in patients. Here, we have developed omentum gel (OmGel), a matrix made from tumour-associated omental tissue of HGS ovarian cancer patients that has unprecedented similarity to the ECM of HGS omental tumours and is simple to prepare. When used in 2D and 3D in vitro assays to assess cancer cell functions relevant to metastatic ovarian cancer, OmGel performs as well as or better than the widely use Matrigel and does not induce additional phenotypic changes to ovarian cancer cells. Surprisingly, OmGel promotes pronounced morphological changes in cancer associated fibroblasts (CAFs). These changes were associated with the upregulation of proteins that define subsets of CAFs in tumour patient samples, highlighting the importance of using clinically and physiologically relevant matrices for in vitro studies. Hence, OmGel provides a step forward to study the biology of HGS omental metastasis. Metastasis in the omentum are also typical of other cancer types, particularly gastric cancer, implying the relevance of OmGel to study the biology of other highly lethal cancers.
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Affiliation(s)
| | - Douglas Cartwright
- Cancer Research UK Scotland Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Maija Risteli
- Research Unit of Population Health, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Elina M. Jokinen
- Department of Bacteriology and Immunology, Translational Immunology Research Program, University of Helsinki, Finland
| | - Lynn McGarry
- Cancer Research UK Scotland Institute, Glasgow, UK
| | - Toni Sandvik
- Research Unit of Population Health, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Konstantina Nikolatou
- Cancer Research UK Scotland Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Kelly Hodge
- Cancer Research UK Scotland Institute, Glasgow, UK
| | | | - Maria Vias
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Emily J. Kay
- Cancer Research UK Scotland Institute, Glasgow, UK
| | - James D. Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Leo M. Carlin
- Cancer Research UK Scotland Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - David M. Bryant
- Cancer Research UK Scotland Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Tuula Salo
- Research Unit of Population Health, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
- Department of Pathology, University of Helsinki, Helsinki, Finland
- Department of Oral and Maxillofacial Diseases, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sara Zanivan
- Cancer Research UK Scotland Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
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2
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Sauer CM, Hall JA, Couturier DL, Bradley T, Piskorz AM, Griffiths J, Sawle A, Eldridge MD, Smith P, Hosking K, Reinius MAV, Morrill Gavarró L, Mes-Masson AM, Ennis D, Millan D, Hoyle A, McNeish IA, Jimenez-Linan M, Martins FC, Tischer J, Vias M, Brenton JD. Molecular landscape and functional characterization of centrosome amplification in ovarian cancer. Nat Commun 2023; 14:6505. [PMID: 37845213 PMCID: PMC10579337 DOI: 10.1038/s41467-023-41840-3] [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: 02/16/2023] [Accepted: 09/21/2023] [Indexed: 10/18/2023] Open
Abstract
High-grade serous ovarian carcinoma (HGSOC) is characterised by poor outcome and extreme chromosome instability (CIN). Therapies targeting centrosome amplification (CA), a key mediator of chromosome missegregation, may have significant clinical utility in HGSOC. However, the prevalence of CA in HGSOC, its relationship to genomic biomarkers of CIN and its potential impact on therapeutic response have not been defined. Using high-throughput multi-regional microscopy on 287 clinical HGSOC tissues and 73 cell lines models, here we show that CA through centriole overduplication is a highly recurrent and heterogeneous feature of HGSOC and strongly associated with CIN and genome subclonality. Cell-based studies showed that high-prevalence CA is phenocopied in ovarian cancer cell lines, and that high CA is associated with increased multi-treatment resistance; most notably to paclitaxel, the commonest treatment used in HGSOC. CA in HGSOC may therefore present a potential driver of tumour evolution and a powerful biomarker for response to standard-of-care treatment.
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Affiliation(s)
- Carolin M Sauer
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK.
| | - James A Hall
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Dominique-Laurent Couturier
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK
| | - Thomas Bradley
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Anna M Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Jacob Griffiths
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Ashley Sawle
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Matthew D Eldridge
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Philip Smith
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Karen Hosking
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Marika A V Reinius
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
- Cambridge University Hospital NHS Foundation Trust and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK
| | - Lena Morrill Gavarró
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Anne-Marie Mes-Masson
- Department of Medicine, Université de Montréal and Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada
| | - Darren Ennis
- Department of Surgery and Cancer, Ovarian Cancer Action Research Centre, Imperial College London, London, UK
| | - David Millan
- Department of Pathology, Queen Elizabeth University Hospital, Glasgow, UK
| | - Aoisha Hoyle
- Department of Pathology, University Hospital Monklands. NHS Lanarkshire, Airdrie, UK
| | - Iain A McNeish
- Department of Surgery and Cancer, Ovarian Cancer Action Research Centre, Imperial College London, London, UK
| | - Mercedes Jimenez-Linan
- Cambridge University Hospital NHS Foundation Trust and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK
| | - Filipe Correia Martins
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
- Cambridge University Hospital NHS Foundation Trust and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK
| | - Julia Tischer
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Maria Vias
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK
| | - James D Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
- Cancer Research UK Major Centre-Cambridge, University of Cambridge, Cambridge, CB2 0RE, UK.
- Cambridge University Hospital NHS Foundation Trust and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge, UK.
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3
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Morse DB, Michalowski AM, Ceribelli M, De Jonghe J, Vias M, Riley D, Davies-Hill T, Voss T, Pittaluga S, Muus C, Liu J, Boyle S, Weitz DA, Brenton JD, Buenrostro JD, Knowles TPJ, Thomas CJ. Positional influence on cellular transcriptional identity revealed through spatially segmented single-cell transcriptomics. Cell Syst 2023; 14:464-481.e7. [PMID: 37348462 PMCID: PMC10424188 DOI: 10.1016/j.cels.2023.05.003] [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: 12/29/2021] [Revised: 01/22/2023] [Accepted: 05/17/2023] [Indexed: 06/24/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) is a powerful technique for describing cell states. Identifying the spatial arrangement of these states in tissues remains challenging, with the existing methods requiring niche methodologies and expertise. Here, we describe segmentation by exogenous perfusion (SEEP), a rapid and integrated method to link surface proximity and environment accessibility to transcriptional identity within three-dimensional (3D) disease models. The method utilizes the steady-state diffusion kinetics of a fluorescent dye to establish a gradient along the radial axis of disease models. Classification of sample layers based on dye accessibility enables dissociated and sorted cells to be characterized by transcriptomic and regional identities. Using SEEP, we analyze spheroid, organoid, and in vivo tumor models of high-grade serous ovarian cancer (HGSOC). The results validate long-standing beliefs about the relationship between cell state and position while revealing new concepts regarding how spatially unique microenvironments influence the identity of individual cells within tumors.
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Affiliation(s)
- David B Morse
- Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aleksandra M Michalowski
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michele Ceribelli
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | | | - Maria Vias
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Deanna Riley
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Theresa Davies-Hill
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ty Voss
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Stefania Pittaluga
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Muus
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jiamin Liu
- Advanced Imaging and Microscopy Resource, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - Samantha Boyle
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - David A Weitz
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA; Department of Physics, Harvard University, Cambridge, MA, USA
| | - James D Brenton
- Cancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Tuomas P J Knowles
- Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge, UK; Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, UK.
| | - Craig J Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA; Lymphoid Malignancies Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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4
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Vias M, Morrill Gavarró L, Sauer CM, Sanders DA, Piskorz AM, Couturier DL, Ballereau S, Hernando B, Schneider MP, Hall J, Correia-Martins F, Markowetz F, Macintyre G, Brenton JD. High-grade serous ovarian carcinoma organoids as models of chromosomal instability. eLife 2023; 12:e83867. [PMID: 37166279 PMCID: PMC10174694 DOI: 10.7554/elife.83867] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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: 09/30/2022] [Accepted: 04/24/2023] [Indexed: 05/12/2023] Open
Abstract
High-grade serous ovarian carcinoma (HGSOC) is the most genomically complex cancer, characterized by ubiquitous TP53 mutation, profound chromosomal instability, and heterogeneity. The mutational processes driving chromosomal instability in HGSOC can be distinguished by specific copy number signatures. To develop clinically relevant models of these mutational processes we derived 15 continuous HGSOC patient-derived organoids (PDOs) and characterized them using bulk transcriptomic, bulk genomic, single-cell genomic, and drug sensitivity assays. We show that HGSOC PDOs comprise communities of different clonal populations and represent models of different causes of chromosomal instability including homologous recombination deficiency, chromothripsis, tandem-duplicator phenotype, and whole genome duplication. We also show that these PDOs can be used as exploratory tools to study transcriptional effects of copy number alterations as well as compound-sensitivity tests. In summary, HGSOC PDO cultures provide validated genomic models for studies of specific mutational processes and precision therapeutics.
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Affiliation(s)
- Maria Vias
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Lena Morrill Gavarró
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
- The MRC Weatherall Institute of Molecular MedicineOxfordUnited Kingdom
| | - Carolin M Sauer
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Deborah A Sanders
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Anna M Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | | | - Stéphane Ballereau
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Bárbara Hernando
- Centro Nacional de Investigaciones Oncológicas, C/Melchor Fernández AlmagroMadridSpain
| | - Michael P Schneider
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - James Hall
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Filipe Correia-Martins
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Florian Markowetz
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Geoff Macintyre
- Centro Nacional de Investigaciones Oncológicas, C/Melchor Fernández AlmagroMadridSpain
| | - James D Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
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5
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Martins FC, Couturier DL, de Santiago I, Sauer CM, Vias M, Angelova M, Sanders D, Piskorz A, Hall J, Hosking K, Amirthanayagam A, Cosulich S, Carnevalli L, Davies B, Watkins TBK, Funingana IG, Bolton H, Haldar K, Latimer J, Baldwin P, Crawford R, Eldridge M, Basu B, Jimenez-Linan M, Mcpherson AW, McGranahan N, Litchfield K, Shah SP, McNeish I, Caldas C, Evan G, Swanton C, Brenton JD. Clonal somatic copy number altered driver events inform drug sensitivity in high-grade serous ovarian cancer. Nat Commun 2022; 13:6360. [PMID: 36289203 PMCID: PMC9606297 DOI: 10.1038/s41467-022-33870-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [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: 12/17/2021] [Accepted: 10/06/2022] [Indexed: 01/12/2023] Open
Abstract
Chromosomal instability is a major challenge to patient stratification and targeted drug development for high-grade serous ovarian carcinoma (HGSOC). Here we show that somatic copy number alterations (SCNAs) in frequently amplified HGSOC cancer genes significantly correlate with gene expression and methylation status. We identify five prevalent clonal driver SCNAs (chromosomal amplifications encompassing MYC, PIK3CA, CCNE1, KRAS and TERT) from multi-regional HGSOC data and reason that their strong selection should prioritise them as key biomarkers for targeted therapies. We use primary HGSOC spheroid models to test interactions between in vitro targeted therapy and SCNAs. MYC chromosomal copy number is associated with in-vitro and clinical response to paclitaxel and in-vitro response to mTORC1/2 inhibition. Activation of the mTOR survival pathway in the context of MYC-amplified HGSOC is statistically associated with increased prevalence of SCNAs in genes from the PI3K pathway. Co-occurrence of amplifications in MYC and genes from the PI3K pathway is independently observed in squamous lung cancer and triple negative breast cancer. In this work, we show that identifying co-occurrence of clonal driver SCNA genes could be used to tailor therapeutics for precision medicine.
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Affiliation(s)
- Filipe Correia Martins
- Department of Obstetrics and Gynaecology, University of Cambridge, Cambridge, UK.
- Experimental Medicine Initiative, University of Cambridge, Cambridge, UK.
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
- Department of Gynaecological Oncology, Cambridge University Hospitals, Cambridge, UK.
| | - Dominique-Laurent Couturier
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Medical Research Council Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Ines de Santiago
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Maria Vias
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Mihaela Angelova
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Deborah Sanders
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Anna Piskorz
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - James Hall
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | | | | | | | | | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Ionut G Funingana
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Helen Bolton
- Department of Gynaecological Oncology, Cambridge University Hospitals, Cambridge, UK
| | - Krishnayan Haldar
- Department of Gynaecological Oncology, Cambridge University Hospitals, Cambridge, UK
| | - John Latimer
- Department of Gynaecological Oncology, Cambridge University Hospitals, Cambridge, UK
| | - Peter Baldwin
- Department of Gynaecological Oncology, Cambridge University Hospitals, Cambridge, UK
| | - Robin Crawford
- Department of Gynaecological Oncology, Cambridge University Hospitals, Cambridge, UK
| | - Matthew Eldridge
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Bristi Basu
- Cambridge University Hospitals, Cambridge, UK
- Department of Oncology, University of Cambridge, Cambridge, UK
| | | | - Andrew W Mcpherson
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Centre, NYC, USA
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Kevin Litchfield
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Sohrab P Shah
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Centre, NYC, USA
| | - Iain McNeish
- Department of Surgery and Cancer, Imperial College of London, London, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Gerard Evan
- Department of Biochemistry, University of Cambridge, Cambridge, 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.
| | - James D Brenton
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
- Department of Oncology, University of Cambridge, Cambridge, UK.
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6
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Sauer CM, Heider K, Belic J, Boyle SE, Hall JA, Couturier D, An A, Vijayaraghavan A, Reinius MAV, Hosking K, Vias M, Rosenfeld N, Brenton JD. Longitudinal monitoring of disease burden and response using ctDNA from dried blood spots in xenograft models. EMBO Mol Med 2022; 14:e15729. [PMID: 35694774 PMCID: PMC9358392 DOI: 10.15252/emmm.202215729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 01/18/2022] [Revised: 05/19/2022] [Accepted: 05/19/2022] [Indexed: 12/29/2022] Open
Abstract
Whole-genome sequencing (WGS) of circulating tumour DNA (ctDNA) is now a clinically important biomarker for predicting therapy response, disease burden and disease progression. However, the translation of ctDNA monitoring into vital preclinical PDX models has not been possible owing to low circulating blood volumes in small rodents. Here, we describe the longitudinal detection and monitoring of ctDNA from minute volumes of blood in PDX mice. We developed a xenograft Tumour Fraction (xTF) metric using shallow WGS of dried blood spots (DBS), and demonstrate its application to quantify disease burden, monitor treatment response and predict disease outcome in a preclinical study of PDX mice. Further, we show how our DBS-based ctDNA assay can be used to detect gene-specific copy number changes and examine the copy number landscape over time. Use of sequential DBS ctDNA assays could transform future trial designs in both mice and patients by enabling increased sampling and molecular monitoring.
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Affiliation(s)
- Carolin M Sauer
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Katrin Heider
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Jelena Belic
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Samantha E Boyle
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - James A Hall
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Dominique‐Laurent Couturier
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Medical Research Council Biostatistics UnitUniversity of CambridgeCambridgeUK
| | - Angela An
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Aadhitthya Vijayaraghavan
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Marika AV Reinius
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Karen Hosking
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Maria Vias
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
| | - James D Brenton
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUK
- Cancer Research UK Major Centre–CambridgeUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals NHS Foundation Trust and National Institute for Health Research Cambridge Biomedical Research CentreAddenbrooke's HospitalCambridgeUK
- Department of OncologyUniversity of CambridgeCambridgeUK
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7
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Morse DB, Ceribelli M, De Jonghe J, Michalowski A, Muus C, Vias M, Boyle S, Weitz DA, Brenton J, Buenrostro JD, Thomas C, Knowles TP. Abstract 5879: Spatially-segmented single-cell transcriptomics by diffusional accessibility to a small-molecule dye. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-5879] [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-throughput single-cell RNA-seq (scRNA-seq) is used to describe complex tissues by characterizing transcriptional states of individual cells. Defining a cell's position, both in regard to tissue margins and its social context, is essential for understanding the intrinsic and extrinsic variables that effect the transcriptional identity of individual cells. Conventional high-throughput scRNA-seq assays, however, decouple cells from their original locations within tissues. In situ hybridization readouts of gene expression and in situ sequencing preserve spatial information in tissues, but currently have a lower total read threshold than NextGen sequencing – imposing a restriction on either cell throughput or transcriptional breadth. Combining the above methods or using regional barcodes to define 2D positions have spatially-reconstructed tissue regions but are seldom employed in unspecialized laboratories. We describe SEgmentation by Exogenous Perfusion (SEEP), a rapid, integrated, method for providing 3D spatial-segmentation to scRNA-seq data. Tissues are divided into layers based on accessibility of a fluorescent dye allowing sorted cells to be characterized by transcriptomic and regional identity. We use SEEP to explore how the transcriptional states of cells in high-grade serous ovarian cancer vary with respect to intratumoral position. We describe an integrated method for correlating 3D radial-spatial cell positions with scRNA-seq data. By employing a basic stain-and-sort method using an off-the-shelf live-dead stain, we are able to correlate transcriptional profiles with radial-spatial positions in both radially symmetric tissues (e.g., spheroids, organoids, spherical tumor masses) and linear tissue samples (e.g., punch biopsies). SEEP uses an imaging-based calibration step to inform the parameters of a FACS and sequencing based measurement step. Across spheroid, organoid, and PDX models of high-grade serous ovarian cancer, we find common positional transcriptomic profiles, ranging from single-gene proclivities to multi-gene-set enrichments across tissue layers.
Citation Format: David B. Morse, Michele Ceribelli, Joachim De Jonghe, Aleksandra Michalowski, Christoph Muus, Maria Vias, Samantha Boyle, David A. Weitz, James Brenton, Jason D. Buenrostro, Craig Thomas, Tuomas P. Knowles. Spatially-segmented single-cell transcriptomics by diffusional accessibility to a small-molecule dye [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5879.
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Affiliation(s)
| | | | | | | | | | - Maria Vias
- 1University of Cambirdge, Cambridge, United Kingdom
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Martins F, Couturier DL, de Santiago I, Vias M, Sanders D, Piskorz A, Hall J, Jimenez-Linan M, Hosking K, Crawford R, Brenton J. Combination of mTOR inhibition and paclitaxel as a personalised strategy in the context of MYC-amplified high-grade serous ovarian cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz413.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Goldlust IS, Wilson K, Szabova L, Zhang X, Mathews-Griner L, Vias M, Piskorz A, Stark R, Mendil L, Kasbekar M, Braisted J, Guha R, McKnight C, Shinn P, Michelle-Smith D, Weaver Ohler Z, Davis M, Rudloff U, Michael S, Lal-Nag M, Martin S, Annunziata C, Ferrer M, Brenton JD, Thomas C. Abstract 278: No cell left behind: Residual ovarian spheroids drive recurrence and are sensitive to the pro-oxidant elesclomol. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-278] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [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
Sphere forming cells persist in the ascitic fluid of patients with high-grade serous ovarian cancer after first-line therapy and likely contribute to relapse and metastasis. These residual tumor spheres, which are enriched for cancer cells by up to 95% based on detectable TP53 mutations, are slow growing, resistant to platinum-based chemotherapy, and remain a large obstacle towards durable remission. Screening established, rapidly dividing monolayer cell lines in proliferation assays has failed to produce chemotherapeutics capable of eradicating this slow growing population. To identify a consolidation therapy that targets these residual tumor cells we screened nearly 2000 mechanistically annotated, approved and investigational drugs in three cell lines (PEO1, PANC1, A375M) cultured in spheroid and conventional monolayer. To elucidate targetable genes and pathways responsible for spheroid maintenance we performed a whole-genome RNAi screen against PEO1 in both culture conditions. Our pharmacological and genetic profiling provided mechanistic insight into the baseline changes that occur when cells are grown in three dimensional, anchorage independent conditions and identified susceptibilities specific to spheroid populations. Consistent with residual disease, cultured spheres were resistant to many common chemotherapeutics, most notably proteasome inhibitors, but were highly sensitive to the pro-oxidant elesclomol. We verified elesclomol's activity in ex vivo cancer spheroids extracted from the ascitic fluid of patients with advanced high-grade serous ovarian cancer using a simple, culture-free technique. Expression profiling of cultured and ex vivo spheres revealed broad downregulation of genes involved in cell cycle signaling (AURKA, AURKB, PLK1, CDK1, CCNA2, CCNB1, CCNB2, GMNN, CHEK1). Treatment with elesclomol induced expression of chaperone proteins (HSP6, HSP7, HSPA1A, HSPA1B, DNAJA4, DNAJB1), metallothionein proteins (MT1F, MT1M, MT1P2, MT1X, MT2A), and genes involved with the oxidative stress response (HMOX1, ABCB1, SLC7A11) consistent with increased reactive oxygen species caused by high intracellular Cu2+. To pursue this drug as a consolidation therapy in vivo, we evaluated elesclomol's toxicity, pharmacokinetic properties, and efficacy in a murine model for recurrent high-grade serous ovarian cancer. By targeting residual tumor cells with elesclomol after successful treatment with platinum-based therapeutics we hope to prevent recurrence.
Citation Format: Ian S. Goldlust, Kelli Wilson, Ludmila Szabova, Xiaohu Zhang, Lesley Mathews-Griner, Maria Vias, Anna Piskorz, Rory Stark, Lee Mendil, Monica Kasbekar, John Braisted, Rajarshi Guha, Crystal McKnight, Paul Shinn, Donna Michelle-Smith, Zoe Weaver Ohler, Mindy Davis, Udo Rudloff, Sam Michael, Madhu Lal-Nag, Scott Martin, Christina Annunziata, Marc Ferrer, James D. Brenton, Craig Thomas. No cell left behind: Residual ovarian spheroids drive recurrence and are sensitive to the pro-oxidant elesclomol. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 278.
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Affiliation(s)
| | | | | | | | | | - Maria Vias
- 4University of Cambridge/Cambridge Institute, Cambridge, United Kingdom
| | - Anna Piskorz
- 4University of Cambridge/Cambridge Institute, Cambridge, United Kingdom
| | - Rory Stark
- 4University of Cambridge/Cambridge Institute, Cambridge, United Kingdom
| | - Lee Mendil
- 4University of Cambridge/Cambridge Institute, Cambridge, United Kingdom
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - James D. Brenton
- 4University of Cambridge/Cambridge Institute, Cambridge, United Kingdom
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Geraghty RJ, Capes-Davis A, Davis JM, Downward J, Freshney RI, Knezevic I, Lovell-Badge R, Masters JRW, Meredith J, Stacey GN, Thraves P, Vias M. Guidelines for the use of cell lines in biomedical research. Br J Cancer 2014; 111:1021-46. [PMID: 25117809 PMCID: PMC4453835 DOI: 10.1038/bjc.2014.166] [Citation(s) in RCA: 237] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Accepted: 03/05/2014] [Indexed: 01/13/2023] Open
Abstract
Cell-line misidentification and contamination with microorganisms, such as mycoplasma, together with instability, both genetic and phenotypic, are among the problems that continue to affect cell culture. Many of these problems are avoidable with the necessary foresight, and these Guidelines have been prepared to provide those new to the field and others engaged in teaching and instruction with the information necessary to increase their awareness of the problems and to enable them to deal with them effectively. The Guidelines cover areas such as development, acquisition, authentication, cryopreservation, transfer of cell lines between laboratories, microbial contamination, characterisation, instability and misidentification. Advice is also given on complying with current legal and ethical requirements when deriving cell lines from human and animal tissues, the selection and maintenance of equipment and how to deal with problems that may arise.
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Affiliation(s)
- R J Geraghty
- Cancer Research UK Cambridge
Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way,
Cambridge
CB2 0RE, UK
| | - A Capes-Davis
- CellBank Australia, Children's
Medical Research Institute, Locked Bag 23,
Wentworthville, New South Wales
2145, Australia
| | - J M Davis
- School of Life and Medical Sciences,
University of Hertfordshire, College Lane, Hatfield,
Hertfordshire
AL10 9AB, UK
| | - J Downward
- Cancer Research UK, London Research
Institute, 44 Lincoln's Inn Fields, London
WC2A 3LY, UK
| | - R I Freshney
- Institute for Cancer Sciences,
University of Glasgow, 24 Greenwood Drive, Bearsden,
Glasgow
G61 2HA, UK
| | - I Knezevic
- Department of Essential Medicines and
Health Products, Quality, Safety and Standards Team, World Health
Organization, 20 Avenue Appia, 1211
Geneva 27, Switzerland
| | - R Lovell-Badge
- MRC National Institute for Medical
Research, The Ridgeway, Mill Hill, London
NW7 1AA, UK
| | - J R W Masters
- University College London, 67 Riding
House Street, London
W1W 7EJ, UK
| | - J Meredith
- Cancer Research UK, Angel Building,
407 St John Street, London
EC1V 4AD, UK
| | - G N Stacey
- National Institute for Biological
Standards and Control, A Centre of the Medicines and Healthcare Products
Regulatory Agency, Blanche Lane, South Mimms, Herts
EN6 3QG, UK
| | - P Thraves
- Culture Collections, Public Health
England, Porton Down, Salisbury
SP4 0JG, UK
| | - M Vias
- Cancer Research UK Cambridge
Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way,
Cambridge
CB2 0RE, UK
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Ramos-Montoya A, Lamb AD, Russell R, Carroll T, Jurmeister S, Galeano-Dalmau N, Massie CE, Boren J, Bon H, Theodorou V, Vias M, Shaw GL, Sharma NL, Ross-Adams H, Scott HE, Vowler SL, Howat WJ, Warren AY, Wooster RF, Mills IG, Neal DE. HES6 drives a critical AR transcriptional programme to induce castration-resistant prostate cancer through activation of an E2F1-mediated cell cycle network. EMBO Mol Med 2014; 6:651-61. [PMID: 24737870 PMCID: PMC4023887 DOI: 10.1002/emmm.201303581] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Castrate-resistant prostate cancer (CRPC) is poorly characterized and heterogeneous and while the androgen receptor (AR) is of singular importance, other factors such as c-Myc and the E2F family also play a role in later stage disease. HES6 is a transcription co-factor associated with stem cell characteristics in neural tissue. Here we show that HES6 is up-regulated in aggressive human prostate cancer and drives castration-resistant tumour growth in the absence of ligand binding by enhancing the transcriptional activity of the AR, which is preferentially directed to a regulatory network enriched for transcription factors such as E2F1. In the clinical setting, we have uncovered a HES6-associated signature that predicts poor outcome in prostate cancer, which can be pharmacologically targeted by inhibition of PLK1 with restoration of sensitivity to castration. We have therefore shown for the first time the critical role of HES6 in the development of CRPC and identified its potential in patient-specific therapeutic strategies.
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Affiliation(s)
- Antonio Ramos-Montoya
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Alastair D Lamb
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK,*Corresponding author. Tel: +44 1223 331940; Fax: +44 1223 769007; E-mail:
| | - Roslin Russell
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Thomas Carroll
- Bioinformatics Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Sarah Jurmeister
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Nuria Galeano-Dalmau
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Charlie E Massie
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Joan Boren
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Helene Bon
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Vasiliki Theodorou
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Maria Vias
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Greg L Shaw
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK
| | - Naomi L Sharma
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK
| | - Helen Ross-Adams
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Helen E Scott
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Sarah L Vowler
- Bioinformatics Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - William J Howat
- Histopathology/ISH Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK
| | - Anne Y Warren
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Pathology, Addenbrooke's HospitalCambridge, UK
| | | | - Ian G Mills
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Prostate Cancer Research Group, Nordic EMBL Partnership, Centre for Molecular Medicine Norway (NCMM), University of OsloOslo, Norway,Departments of Cancer Prevention and Urology, Institute of Cancer Research and Oslo University HospitalsOslo, Norway
| | - David E Neal
- Uro-Oncology Research Group, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridge, UK,Department of Urology, Addenbrooke's HospitalCambridge, UK,Department of Oncology, University of CambridgeCambridge, UK,**Corresponding author. Tel: +44 1223 331940; Fax: +44 1223 769007; E-mail:
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Vias M, Ramos-Montoya A, Mills IG. Terminal and progenitor lineage-survival oncogenes as cancer markers. Trends Mol Med 2008; 14:486-94. [PMID: 18929510 DOI: 10.1016/j.molmed.2008.09.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2008] [Revised: 09/01/2008] [Accepted: 09/01/2008] [Indexed: 12/31/2022]
Abstract
Tumour classification has traditionally focused on differentiation and cellular morphology, and latterly on the application of genomic approaches. By combining chromatin immunoprecipitation with expression array, it has been possible to identify direct gene targets for transcription factors for nuclear hormone receptors. At the same time, there have been great strides in deriving stem and progenitor cells from tissues. It is therefore timely to propose that pairing the isolation of these cell subpopulations from tissues and tumours with these genomics approaches will reveal conserved gene targets for transcription factors. By focusing on transcription factors (lineage-survival oncogenes) with roles in both organogenesis and tumourigenesis at multiple organ sites, we suggest that this comparative genomics approach will enable developmental biology to be used more fully in relation to understanding tumour progression and will reveal new cancer markers. We focus here on neurogenesis and neuroendocrine differentiation in tumours.
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Affiliation(s)
- Maria Vias
- Uro-Oncology Research Group, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
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Vias M, Massie CE, East P, Scott H, Warren A, Zhou Z, Nikitin AY, Neal DE, Mills IG. Pro-neural transcription factors as cancer markers. BMC Med Genomics 2008; 1:17. [PMID: 18489756 PMCID: PMC2413260 DOI: 10.1186/1755-8794-1-17] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2007] [Accepted: 05/19/2008] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The aberrant transcription in cancer of genes normally associated with embryonic tissue differentiation at various organ sites may be a hallmark of tumour progression. For example, neuroendocrine differentiation is found more commonly in cancers destined to progress, including prostate and lung. We sought to identify proteins which are involved in neuroendocrine differentiation and differentially expressed in aggressive/metastatic tumours. RESULTS Expression arrays were used to identify up-regulated transcripts in a neuroendocrine (NE) transgenic mouse model of prostate cancer. Amongst these were several genes normally expressed in neural tissues, including the pro-neural transcription factors Ascl1 and Hes6. Using quantitative RT-PCR and immuno-histochemistry we showed that these same genes were highly expressed in castrate resistant, metastatic LNCaP cell-lines. Finally we performed a meta-analysis on expression array datasets from human clinical material. The expression of these pro-neural transcripts effectively segregates metastatic from localised prostate cancer and benign tissue as well as sub-clustering a variety of other human cancers. CONCLUSION By focussing on transcription factors known to drive normal tissue development and comparing expression signatures for normal and malignant mouse tissues we have identified two transcription factors, Ascl1 and Hes6, which appear effective markers for an aggressive phenotype in all prostate models and tissues examined. We suggest that the aberrant initiation of differentiation programs may confer a selective advantage on cells in all contexts and this approach to identify biomarkers therefore has the potential to uncover proteins equally applicable to pre-clinical and clinical cancer biology.
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Affiliation(s)
- Maria Vias
- Uro-Oncology Research Group, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.
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Aitchison AA, Veerakumarasivam A, Vias M, Kumar R, Hamdy FC, Neal DE, Mills IG. Promoter methylation correlates with reduced Smad4 expression in advanced prostate cancer. Prostate 2008; 68:661-74. [PMID: 18213629 DOI: 10.1002/pros.20730] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Transforming growth factor-beta (TGF-beta) is a potent growth inhibitor in a wide range of cell types. A transducer of TGF-beta signaling known as Mothers against decapentaplegic homologue 4 (Smad4) is a known tumor suppressor found on chromosome 18q21.1 and is typically inactivated by deletion or mutation in pancreatic and colorectal cancers. The purpose of the article is to investigate Smad4 expression, gene copy number and methylation status in advanced cases of prostate cancer. METHODS We have employed Methylation Specific PCR (MSP) to identify methylation sites within the Smad4 promoter and combined this with quantitative real-time PCR to look for correlates between methylation status and Smad4 expression and to examine androgen receptor (AR) expression. Bacterial artificial chromosome-comparative genomic hybridization (BAC-CGH) has been used to look for genomic amplifications and deletions which may also contribute to expression changes. RESULTS We fail to find evidence of genomic deletions or amplifications affecting the Smad4 locus on chromosome 18 but show a correlation between promoter methylation and the loss of Smad4 expression in the same material. We confirm that the AR locus on the X chromosome is amplified in 30% of the advanced clinical samples and that this correlates with increased transcript levels as previously reported by other groups. CONCLUSION This indicates that epigenetic changes affect the expression of the Smad4 protein in prostate cancer and points to methylation of the promoter as a novel marker of and contributor to the disease warranting further study.
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MESH Headings
- Adenocarcinoma/genetics
- Adenocarcinoma/metabolism
- Adenocarcinoma/pathology
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Cell Line, Tumor
- Chromosomes, Artificial, Bacterial
- Chromosomes, Human, X
- DNA Methylation
- DNA, Neoplasm/analysis
- Humans
- Male
- Neoplasm Recurrence, Local
- Nucleic Acid Hybridization
- Oligonucleotides
- Promoter Regions, Genetic
- Prostatectomy
- Prostatic Neoplasms/genetics
- Prostatic Neoplasms/metabolism
- Prostatic Neoplasms/pathology
- Smad4 Protein/genetics
- Smad4 Protein/metabolism
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Affiliation(s)
- Alan A Aitchison
- Department of Oncology, Hutchison/MRC Research Centre, CRUK Uro-Oncology Group, University of Cambridge, Cambridge, United Kingdom
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Ahmed AA, Mills AD, Ibrahim AE, Temple J, Blenkiron C, Vias M, Massie CE, Iyer NG, McGeoch A, Crawford R, Nicke B, Downward J, Swanton C, Bell SD, Earl HM, Laskey RA, Caldas C, Brenton JD. The extracellular matrix protein TGFBI induces microtubule stabilization and sensitizes ovarian cancers to paclitaxel. Cancer Cell 2007; 12:514-27. [PMID: 18068629 PMCID: PMC2148463 DOI: 10.1016/j.ccr.2007.11.014] [Citation(s) in RCA: 168] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2007] [Revised: 08/17/2007] [Accepted: 11/19/2007] [Indexed: 11/29/2022]
Abstract
The extracellular matrix (ECM) can induce chemotherapy resistance via AKT-mediated inhibition of apoptosis. Here, we show that loss of the ECM protein TGFBI (transforming growth factor beta induced) is sufficient to induce specific resistance to paclitaxel and mitotic spindle abnormalities in ovarian cancer cells. Paclitaxel-resistant cells treated with recombinant TGFBI protein show integrin-dependent restoration of paclitaxel sensitivity via FAK- and Rho-dependent stabilization of microtubules. Immunohistochemical staining for TGFBI in paclitaxel-treated ovarian cancers from a prospective clinical trial showed that morphological changes of paclitaxel-induced cytotoxicity were restricted to areas of strong expression of TGFBI. These data show that ECM can mediate taxane sensitivity by modulating microtubule stability.
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Affiliation(s)
- Ahmed Ashour Ahmed
- Functional Genomics of Drug Resistance Laboratory, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
- Gynaecological Oncology Regional Centre, Box 242, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge CB2 0QQ, UK
| | - Anthony D. Mills
- MRC Cancer Cell Unit, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Ashraf E.K. Ibrahim
- Functional Genomics of Drug Resistance Laboratory, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
| | - Jillian Temple
- Functional Genomics of Drug Resistance Laboratory, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Cherie Blenkiron
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Maria Vias
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Charlie E. Massie
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - N. Gopalakrishna Iyer
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Adam McGeoch
- MRC Cancer Cell Unit, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Robin Crawford
- Gynaecological Oncology Regional Centre, Box 242, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge CB2 0QQ, UK
| | - Barbara Nicke
- Signal Transduction Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK
| | - Julian Downward
- Signal Transduction Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK
| | - Charles Swanton
- Signal Transduction Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3PX, UK
| | - Stephen D. Bell
- MRC Cancer Cell Unit, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Helena M. Earl
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Ronald A. Laskey
- MRC Cancer Cell Unit, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - Carlos Caldas
- Breast Cancer Functional Genomics Laboratory, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
| | - James D. Brenton
- Functional Genomics of Drug Resistance Laboratory, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK
- Department of Oncology, Hutchison/MRC Research Centre, Hills Road, Cambridge, CB2 0XZ, UK
- Corresponding author
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Abstract
BACKGROUND Anti-androgens are administered as a principal treatment for prostate cancer. Aggressive hormone refractory disease is characterized in some cases by the development of a neuroendocrine phenotype. However little attention has been paid to resistance pathways selected for by long-term treatment with non-steroidal anti-androgens. METHODS Using a resistant sub-line, LNCaP-Bic, we performed a comparative gene expression profiling using cDNA microarrays and target validation by qRT-PCR. Targets were then explored using cell proliferation, cell cycle analysis and in vitro invasion assays using siRNA technology. RESULTS Neurotensin/Neuromedin N (NTS) was upregulated in the LNCaP-Bic line at both the transcript and protein level. The resistant line was found to have an increased proliferation rate, more rapid cell cycle progression and increased invasiveness through Matrigel. Each phenotypic difference could be reduced using siRNA knockdown of NT. CONCLUSION Increased expression of NT in bicalutamide resistant prostate cancer cells induces cell proliferation and invasion suggesting that this peptide may contribute to the development of bicalutamide resistant prostate cancer.
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Affiliation(s)
- Maria Vias
- Department of Oncology, Hutchison/MRC Research Centre, CRUK Uro-Oncology Group, University of Cambridge, Hills Road, Cambridge, United Kingdom
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Chin SF, Wang Y, Thorne NP, Teschendorff AE, Pinder SE, Vias M, Naderi A, Roberts I, Barbosa-Morais NL, Garcia MJ, Iyer NG, Kranjac T, Robertson JFR, Aparicio S, Tavaré S, Ellis I, Brenton JD, Caldas C. Using array-comparative genomic hybridization to define molecular portraits of primary breast cancers. Oncogene 2006; 26:1959-70. [PMID: 17001317 DOI: 10.1038/sj.onc.1209985] [Citation(s) in RCA: 87] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
We analysed 148 primary breast cancers using BAC-arrays containing 287 clones representing cancer-related gene/loci to obtain genomic molecular portraits. Gains were detected in 136 tumors (91.9%) and losses in 123 tumors (83.1%). Eight tumors (5.4%) did not have any genomic aberrations in the 281 clones analysed. Common (more than 15% of the samples) gains were observed at 8q11-qtel, 1q21-qtel, 17q11-q12 and 11q13, whereas common losses were observed at 16q12-qtel, 11ptel-p15.5, 1p36-ptel, 17p11.2-p12 and 8ptel-p22. Patients with tumors registering either less than 5% (median value) or less than 11% (third quartile) total copy number changes had a better overall survival (log-rank test: P=0.0417 and P=0.0375, respectively). Unsupervised hierarchical clustering based on copy number changes identified four clusters. Women with tumors from the cluster with amplification of three regions containing known breast oncogenes (11q13, 17q12 and 20q13) had a worse prognosis. The good prognosis group (Nottingham Prognostic Index (NPI) <or=3.4) tumors had frequent loss of 16q24-qtel. Genes significantly associated with estrogen receptor (ER), Grade and NPI were used to build k-nearest neighbor (KNN) classifiers that predicted ER, Grade and NPI status in the test set with an average misclassification rate of 24.7, 25.7 and 35.7%, respectively. These data raise the prospect of generating a molecular taxonomy of breast cancer based on copy number profiling using tumor DNA, which may be more generally applicable than expression microarray analysis.
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Affiliation(s)
- S-F Chin
- Cancer Genomics Program, Department of Oncology, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, UK
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Krubasik D, Iyer NG, English WR, Ahmed AA, Vias M, Roskelley C, Brenton JD, Caldas C, Murphy G. Erratum: Absence of p300 induces cellular phenotypic changes characteristic of epithelial to mesenchyme transition. Br J Cancer 2006. [PMCID: PMC2360626 DOI: 10.1038/sj.bjc.6603202] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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Krubasik D, Iyer NG, English WR, Ahmed AA, Vias M, Roskelley C, Brenton JD, Caldas C, Murphy G. Absence of p300 induces cellular phenotypic changes characteristic of epithelial to mesenchyme transition. Br J Cancer 2006; 94:1326-32. [PMID: 16622451 PMCID: PMC2361417 DOI: 10.1038/sj.bjc.6603101] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
p300 is a transcriptional cofactor and prototype histone acetyltransferase involved in regulating multiple cellular processes. We generated p300 deficient (p300−) cells from the colon carcinoma cell line HCT116 by gene targeting. Comparison of epithelial and mesenchymal proteins in p300− with parental HCT116 cells showed that a number of genes involved in cell and extracellular matrix interactions, typical of ‘epithelial to mesenchyme transition’ were differentially regulated at both the RNA and protein level. p300− cells were found to have aggressive ‘cancer’ phenotypes, with loss of cell–cell adhesion, defects in cell–matrix adhesion and increased migration through collagen and matrigel. Although migration was shown to be metalloproteinase mediated, these cells actually showed a downregulation or no change in the level of key metalloproteinases, indicating that changes in cellular adhesion properties can be critical for cellular mobility.
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Affiliation(s)
- D Krubasik
- Department of Oncology, University of Cambridge, Cambridge Institute for Medical Research, Addenbrooke's Hospital, Hills Road, Cambridge CB2 2XY, UK
| | - N G Iyer
- Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
| | - W R English
- Department of Oncology, University of Cambridge, Cambridge Institute for Medical Research, Addenbrooke's Hospital, Hills Road, Cambridge CB2 2XY, UK
| | - A A Ahmed
- Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
| | - M Vias
- Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
| | - C Roskelley
- Department of Anatomy, University of British Columbia, 2177 Westbrook Mall, Vancouver BC V66T 1Z3, UK
| | - J D Brenton
- Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
| | - C Caldas
- Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
| | - G Murphy
- Department of Oncology, University of Cambridge, Cambridge Institute for Medical Research, Addenbrooke's Hospital, Hills Road, Cambridge CB2 2XY, UK
- Department of Oncology, University of Cambridge, Cambridge Institute for Medical Research, Addenbrooke's Hospital, Hills Road, Cambridge CB2 2XY, UK. E-mail:
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Garcia MJ, Pole JCM, Chin SF, Teschendorff A, Naderi A, Ozdag H, Vias M, Kranjac T, Subkhankulova T, Paish C, Ellis I, Brenton JD, Edwards PAW, Caldas C. A 1 Mb minimal amplicon at 8p11-12 in breast cancer identifies new candidate oncogenes. Oncogene 2005; 24:5235-45. [PMID: 15897872 DOI: 10.1038/sj.onc.1208741] [Citation(s) in RCA: 125] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Amplification of 8p11-12 is a well-known alteration in human breast cancers but the driving oncogene has not been identified. We have developed a high-resolution comparative genomic hybridization array covering 8p11-12 and analysed 33 primary breast tumors, 20 primary ovarian tumors and 27 breast cancer cell lines. Expression analysis of the genes in the region was carried out by using real-time quantitative PCR and/or oligo-microarray profiling. In all, 24% (8/33) of the breast tumors, 5% (1/20) of the ovary tumors and 15% (4/27) of the cell lines showed 8p11-12 amplification. We identified a 1 Mb segment of common amplification that excludes previously proposed candidate genes. Some of the amplified genes did not show overexpression, whereas for others, overexpression was not specifically attributable to amplification. The genes FLJ14299, C8orf2, BRF2 and RAB11FIP, map within the 8p11-12 minimal amplicon, two have a putative function consistent with an oncogenic role, these four genes showed a strong correlation between amplification and overexpression and are therefore the best candidate driver oncogenes at 8p12.
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Affiliation(s)
- Maria J Garcia
- Department of Oncology, Hutchison/MRC Research Centre, Cancer Genomics Program, University of Cambridge, Hills Road, Cambridge CB2 2XZ, UK
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Abstract
Little consideration has been given to the effect of different segmentation methods on the variability of data derived from microarray images. Previous work has suggested that the significant source of variability from microarray image analysis is from estimation of local background. In this study, we used Analysis of Variance (ANOVA) models to investigate the effect of methods of segmentation on the precision of measurements obtained from replicate microarray experiments. We used four different methods of spot segmentation (adaptive, fixed circle, histogram and GenePix) to analyse a total number of 156 172 spots from 12 microarray experiments. Using a two-way ANOVA model and the coefficient of repeatability, we show that the method of segmentation significantly affects the precision of the microarray data. The histogram method gave the lowest variability across replicate spots compared to other methods, and had the lowest pixel-to-pixel variability within spots. This effect on precision was independent of background subtraction. We show that these findings have direct, practical implications as the variability in precision between the four methods resulted in different numbers of genes being identified as differentially expressed. Segmentation method is an important source of variability in microarray data that directly affects precision and the identification of differentially expressed genes.
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Affiliation(s)
- Ahmed Ashour Ahmed
- Cancer Genomics Program, Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Hills Road, Cambridge CB2 2XZ, UK
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Vias M. [Education about diabetes, help to young diabetics (AJD)]. Soins Pediatr Pueric 2000:29-30. [PMID: 11288437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
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Reach G, Cahané M, Vias M. [Investment of the associations: Aide aux Jeunes Diabétiques as a model]. Diabete Metab 1993; 19:496-9. [PMID: 8206185] [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] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
This paper describes the action of an association known as l'Aide aux Jeunes Diabétiques, in terms of education, by the organization of summer camps and of regional and national meetings, of information, through these meetings and the diffusion of a quarterly journal, and or research.
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Affiliation(s)
- G Reach
- Aide aux Jeunes Diabétiques, Paris, France
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Cahané M, Reach G, Vias M. [The Aide to Juvenile Diabetes Association: its role in the management and education of patients with insulin-dependent diabetes]. Ann Pediatr (Paris) 1991; 38:261-7. [PMID: 2069362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
"L'Aide aux Jeunes diabétiques" (AJD) is an association which strives to help insulin-dependent patients assume responsibility for the management of their disease and lead normal lives. As in all chronic diseases, self-care concerning management is essential in diabetes mellitus and requires patient education which is an integral part of the therapeutic program. AJD organizes three types of interventions. 1) Stays in special summer camps provide children, teenagers and young adults with the opportunity for receiving education in a recreational setting conducive to acquisition of knowledge and behaviors required for the management of their disease. Each year, over 1,000 children stay in these camps. Furthermore, vacation camps provide physicians and nurses with unique opportunities for gaining proficiency in the monitoring and treatment of diabetes mellitus. 2) Continuing education through a news bulletin and information meetings improves compliance to treatment. 3) Social and scientific interventions directly involve AJD members and provide them with regular information. In conclusion, AJD plays a central role in the management of type I diabetes mellitus in France.
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