1
|
Geukens T, De Schepper M, Van Den Bogaert W, Van Baelen K, Maetens M, Pabba A, Mahdami A, Leduc S, Isnaldi E, Nguyen HL, Bachir I, Hajipirloo M, Zels G, Van Cauwenberge J, Borremans K, Vandecaveye V, Weynand B, Vermeulen P, Leucci E, Baietti MF, Sflomos G, Battista L, Brisken C, Derksen PWB, Koorman T, Visser D, Scheele CLGJ, Thommen DS, Hatse S, Fendt SM, Vanderheyden E, Van Brussel T, Schepers R, Boeckx B, Lambrechts D, Marano G, Biganzoli E, Smeets A, Nevelsteen I, Punie K, Neven P, Wildiers H, Richard F, Floris G, Desmedt C. Rapid autopsies to enhance metastatic research: the UPTIDER post-mortem tissue donation program. NPJ Breast Cancer 2024; 10:31. [PMID: 38658604 PMCID: PMC11043338 DOI: 10.1038/s41523-024-00637-3] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 04/05/2024] [Indexed: 04/26/2024] Open
Abstract
Research on metastatic cancer has been hampered by limited sample availability. Here we present the breast cancer post-mortem tissue donation program UPTIDER and show how it enabled sampling of a median of 31 (range: 5-90) metastases and 5-8 liquids per patient from its first 20 patients. In a dedicated experiment, we show the mild impact of increasing time after death on RNA quality, transcriptional profiles and immunohistochemical staining in tumor tissue samples. We show that this impact can be counteracted by organ cooling. We successfully generated ex vivo models from tissue and liquid biopsies from distinct histological subtypes of breast cancer. We anticipate these and future findings of UPTIDER to elucidate mechanisms of disease progression and treatment resistance and to provide tools for the exploration of precision medicine strategies in the metastatic setting.
Collapse
Affiliation(s)
- Tatjana Geukens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Maxim De Schepper
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | | | - Karen Van Baelen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Marion Maetens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Anirudh Pabba
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Amena Mahdami
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sophia Leduc
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Edoardo Isnaldi
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Ha-Linh Nguyen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Imane Bachir
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Anesthesiology, Institut Jules Bordet, Brussels, Belgium
| | - Maysam Hajipirloo
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Gitte Zels
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Josephine Van Cauwenberge
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Kristien Borremans
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | | | - Birgit Weynand
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Peter Vermeulen
- Centre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium
| | - Eleonora Leucci
- TRACE and Laboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Maria Francesca Baietti
- TRACE and Laboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - George Sflomos
- ISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Laura Battista
- ISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Cathrin Brisken
- ISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Patrick W B Derksen
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - Thijs Koorman
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - Daan Visser
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - Colinda L G J Scheele
- Laboratory of Intravital Microscopy and Dynamics of Tumor Progression, Department of Oncology, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
| | - Daniela S Thommen
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sigrid Hatse
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sarah-Maria Fendt
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Evy Vanderheyden
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Thomas Van Brussel
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Rogier Schepers
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Bram Boeckx
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Giuseppe Marano
- Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, Università degli Studi di Milano, Milan, Italy
| | - Elia Biganzoli
- Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, Università degli Studi di Milano, Milan, Italy
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ines Nevelsteen
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Kevin Punie
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Patrick Neven
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Hans Wildiers
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - François Richard
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Giuseppe Floris
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.
| |
Collapse
|
2
|
Houbaert D, Nikolakopoulos AP, Jacobs KA, Meçe O, Roels J, Shankar G, Agrawal M, More S, Ganne M, Rillaerts K, Boon L, Swoboda M, Nobis M, Mourao L, Bosisio F, Vandamme N, Bergers G, Scheele CLGJ, Agostinis P. An autophagy program that promotes T cell egress from the lymph node controls responses to immune checkpoint blockade. Cell Rep 2024; 43:114020. [PMID: 38554280 DOI: 10.1016/j.celrep.2024.114020] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 12/21/2023] [Accepted: 03/15/2024] [Indexed: 04/01/2024] Open
Abstract
Lymphatic endothelial cells (LECs) of the lymph node (LN) parenchyma orchestrate leukocyte trafficking and peripheral T cell dynamics. T cell responses to immunotherapy largely rely on peripheral T cell recruitment in tumors. Yet, a systematic and molecular understanding of how LECs within the LNs control T cell dynamics under steady-state and tumor-bearing conditions is lacking. Intravital imaging combined with immune phenotyping shows that LEC-specific deletion of the essential autophagy gene Atg5 alters intranodal positioning of lymphocytes and accrues their persistence in the LNs by increasing the availability of the main egress signal sphingosine-1-phosphate. Single-cell RNA sequencing of tumor-draining LNs shows that loss of ATG5 remodels niche-specific LEC phenotypes involved in molecular pathways regulating lymphocyte trafficking and LEC-T cell interactions. Functionally, loss of LEC autophagy prevents recruitment of tumor-infiltrating T and natural killer cells and abrogates response to immunotherapy. Thus, an LEC-autophagy program boosts immune-checkpoint responses by guiding systemic T cell dynamics.
Collapse
Affiliation(s)
- Diede Houbaert
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | - Apostolos Panagiotis Nikolakopoulos
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; Laboratory of Intravital Microscopy and Dynamics of Tumor Progression, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Kathryn A Jacobs
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; Laboratory of Tumor Microenvironment and Therapeutic Resistance, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Odeta Meçe
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | - Jana Roels
- VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; VIB Single Cell Core, Leuven, Belgium
| | - Gautam Shankar
- Laboratory of Translational Cell and Tissue Research, Department of Pathology, KU Leuven and UZ Leuven, Leuven, Belgium
| | - Madhur Agrawal
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | - Sanket More
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | - Maarten Ganne
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | - Kristine Rillaerts
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | | | - Magdalena Swoboda
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium
| | - Max Nobis
- Intravital Imaging Expertise Center, VIB-CCB, Leuven, Belgium
| | - Larissa Mourao
- VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; Laboratory of Intravital Microscopy and Dynamics of Tumor Progression, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Francesca Bosisio
- Laboratory of Translational Cell and Tissue Research, Department of Pathology, KU Leuven and UZ Leuven, Leuven, Belgium
| | - Niels Vandamme
- VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; VIB Single Cell Core, Leuven, Belgium
| | - Gabriele Bergers
- VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; Laboratory of Tumor Microenvironment and Therapeutic Resistance, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Colinda L G J Scheele
- VIB Center for Cancer Biology Research (CCB), Leuven, Belgium; Laboratory of Intravital Microscopy and Dynamics of Tumor Progression, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Patrizia Agostinis
- Cell Death Research and Therapy Group, Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium; VIB Center for Cancer Biology Research (CCB), Leuven, Belgium.
| |
Collapse
|
3
|
Derouane F, Desgres M, Moroni C, Ambroise J, Berlière M, Van Bockstal MR, Galant C, van Marcke C, Vara-Messler M, Hutten SJ, Jonkers J, Mourao L, Scheele CLGJ, Duhoux FP, Corbet C. Metabolic adaptation towards glycolysis supports resistance to neoadjuvant chemotherapy in early triple negative breast cancers. Breast Cancer Res 2024; 26:29. [PMID: 38374113 PMCID: PMC10875828 DOI: 10.1186/s13058-024-01788-8] [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: 08/08/2023] [Accepted: 02/13/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) is the standard of care for patients with early-stage triple negative breast cancers (TNBC). However, more than half of TNBC patients do not achieve a pathological complete response (pCR) after NAC, and residual cancer burden (RCB) is associated with dismal long-term prognosis. Understanding the mechanisms underlying differential treatment outcomes is therefore critical to limit RCB and improve NAC efficiency. METHODS Human TNBC cell lines and patient-derived organoids were used in combination with real-time metabolic assays to evaluate the effect of NAC (paclitaxel and epirubicin) on tumor cell metabolism, in particular glycolysis. Diagnostic biopsies (pre-NAC) from patients with early TNBC were analyzed by bulk RNA-sequencing to evaluate the predictive value of a glycolysis-related gene signature. RESULTS Paclitaxel induced a consistent metabolic switch to glycolysis, correlated with a reduced mitochondrial oxidative metabolism, in TNBC cells. In pre-NAC diagnostic biopsies from TNBC patients, glycolysis was found to be upregulated in non-responders. Furthermore, glycolysis inhibition greatly improved response to NAC in TNBC organoid models. CONCLUSIONS Our study pinpoints a metabolic adaptation to glycolysis as a mechanism driving resistance to NAC in TNBC. Our data pave the way for the use of glycolysis-related genes as predictive biomarkers for NAC response, as well as the development of inhibitors to overcome this glycolysis-driven resistance to NAC in human TNBC patients.
Collapse
Affiliation(s)
- Françoise Derouane
- Pole of Medical Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, 1200, Brussels, Belgium
- Department of Medical Oncology, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Breast Clinic, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Manon Desgres
- Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, 1200, Brussels, Belgium
| | - Camilla Moroni
- Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, 1200, Brussels, Belgium
| | - Jérôme Ambroise
- Centre des Technologies Moléculaires Appliquées (CTMA), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 54, 1200, Brussels, Belgium
| | - Martine Berlière
- Breast Clinic, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Department of Gynecology, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Pole of Gynecology (GYNE), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Mounier 52, 1200, Brussels, Belgium
| | - Mieke R Van Bockstal
- Breast Clinic, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Department of Pathology, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Christine Galant
- Breast Clinic, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Department of Pathology, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Pole of Morphology (MORF), Institut de Recherche Expérimentale Et Clinique (IREC), UCLouvain, Avenue Mounier 52, 1200, Brussels, Belgium
| | - Cédric van Marcke
- Pole of Medical Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, 1200, Brussels, Belgium
- Department of Medical Oncology, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Breast Clinic, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Marianela Vara-Messler
- Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, 1200, Brussels, Belgium
- Sanofi Belgium, 9052, Zwijnaarde, Belgium
| | - Stefan J Hutten
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066CX, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066CX, Amsterdam, The Netherlands
- Oncode Institute, Amsterdam, The Netherlands
| | - Larissa Mourao
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000, Leuven, Belgium
- Department of Oncology, KU Leuven, 3000, Louvain, Belgium
| | - Colinda L G J Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000, Leuven, Belgium
- Department of Oncology, KU Leuven, 3000, Louvain, Belgium
| | - Francois P Duhoux
- Pole of Medical Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, 1200, Brussels, Belgium
- Department of Medical Oncology, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
- Breast Clinic, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Avenue Hippocrate 10, 1200, Brussels, Belgium
| | - Cyril Corbet
- Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, 1200, Brussels, Belgium.
| |
Collapse
|
4
|
Caruso M, Saberiseyedabad K, Mourao L, Scheele CLGJ. A Decision Tree to Guide Human and Mouse Mammary Organoid Model Selection. Methods Mol Biol 2024; 2764:77-105. [PMID: 38393590 DOI: 10.1007/978-1-0716-3674-9_7] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2024]
Abstract
Over the past 50 years, researchers from the mammary gland field have launched a collection of distinctive 3D cell culture systems to study multiple aspects of mammary gland physiology and disease. As our knowledge about the mammary gland evolves, more sophisticated 3D cell culture systems are required to answer more and more complex questions. Nowadays, morphologically complex mammary organoids can be generated in distinct 3D settings, along with reproduction of multiple aspects of the gland microenvironment. Yet, each 3D culture protocol comes with its advantages and limitations, where some culture systems are best suited to study stemness potential, whereas others are tailored towards the study of mammary gland morphogenesis. Therefore, prior to starting a 3D mammary culture experiment, it is important to consider and select the ideal culture model to address the biological question of interest. The number and technical requirements of novel 3D cell culture methods vastly increased over the past decades, making it currently challenging and time consuming to identify the best experimental testing. In this chapter, we provide a summary of the most promising murine and human 3D organoid models that are currently used in mammary gland biology research. For each model, we will provide a brief description of the protocol and an overview of the expected morphological outcome, the advantages of the model, and the potential pitfalls, to guide the reader to the best model of choice for specific applications.
Collapse
Affiliation(s)
- Marika Caruso
- VIB-KU Leuven Center for Cancer Biology, Department of Oncology, Leuven, Belgium
| | | | - Larissa Mourao
- VIB-KU Leuven Center for Cancer Biology, Department of Oncology, Leuven, Belgium
| | | |
Collapse
|
5
|
Hutten SJ, Behbod F, Scheele CLGJ, Jonkers J. Mouse intraductal modeling of primary ductal carcinoma in situ. STAR Protoc 2023; 4:102526. [PMID: 37651235 PMCID: PMC10480770 DOI: 10.1016/j.xpro.2023.102526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/12/2023] [Accepted: 07/31/2023] [Indexed: 09/02/2023] Open
Abstract
Mouse intraductal modeling enables efficient in vivo propagation of pre-invasive breast cancer lesions and provides a suitable micro-environment for creating patient-derived tumor xenograft models of estrogen-receptor-positive breast cancer. Here, we present a protocol for mouse intraductal modeling of primary ductal carcinoma in situ (DCIS). We describe steps for processing primary DCIS tissues and performing intraductal injections. We then detail procedures for processing intraductal lesions for 3D whole-mount imaging or serial transplantation using magnetic bead sorting. For complete details on the use and execution of this protocol, please refer to Hutten et al. (2023).1.
Collapse
Affiliation(s)
- Stefan J Hutten
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands; Oncode Institute, Amsterdam, The Netherlands.
| | - Fariba Behbod
- Department of Pathology and Laboratory Medicine, The University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Colinda L G J Scheele
- Center for Cancer Biology, VIB, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066CX Amsterdam, The Netherlands; Oncode Institute, Amsterdam, The Netherlands.
| |
Collapse
|
6
|
Hutten SJ, de Bruijn R, Lutz C, Badoux M, Eijkman T, Chao X, Ciwinska M, Sheinman M, Messal H, Herencia-Ropero A, Kristel P, Mulder L, van der Waal R, Sanders J, Almekinders MM, Llop-Guevara A, Davies HR, van Haren MJ, Martin NI, Behbod F, Nik-Zainal S, Serra V, van Rheenen J, Lips EH, Wessels LFA, Wesseling J, Scheele CLGJ, Jonkers J. A living biobank of patient-derived ductal carcinoma in situ mouse-intraductal xenografts identifies risk factors for invasive progression. Cancer Cell 2023; 41:986-1002.e9. [PMID: 37116492 PMCID: PMC10171335 DOI: 10.1016/j.ccell.2023.04.002] [Citation(s) in RCA: 4] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 02/21/2023] [Accepted: 04/04/2023] [Indexed: 04/30/2023]
Abstract
Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive breast cancer (IBC). Due to a lack of biomarkers able to distinguish high- from low-risk cases, DCIS is treated similar to early IBC even though the minority of untreated cases eventually become invasive. Here, we characterized 115 patient-derived mouse-intraductal (MIND) DCIS models reflecting the full spectrum of DCIS observed in patients. Utilizing the possibility to follow the natural progression of DCIS combined with omics and imaging data, we reveal multiple prognostic factors for high-risk DCIS including high grade, HER2 amplification, expansive 3D growth, and high burden of copy number aberrations. In addition, sequential transplantation of xenografts showed minimal phenotypic and genotypic changes over time, indicating that invasive behavior is an intrinsic phenotype of DCIS and supporting a multiclonal evolution model. Moreover, this study provides a collection of 19 distributable DCIS-MIND models spanning all molecular subtypes.
Collapse
Affiliation(s)
- Stefan J Hutten
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Roebi de Bruijn
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands; Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Catrin Lutz
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Madelon Badoux
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Timo Eijkman
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Xue Chao
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Marta Ciwinska
- Center for Cancer Biology, VIB, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Michael Sheinman
- Oncode Institute, Amsterdam, the Netherlands; Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Hendrik Messal
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Andrea Herencia-Ropero
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, 08035 Barcelona, Spain; Department of Biochemistry and Molecular Biology, Autonomous University of Barcelona, Barcelona, Spain
| | - Petra Kristel
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Lennart Mulder
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Rens van der Waal
- Core Facility Molecular Pathology & Biobanking, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Joyce Sanders
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Mathilde M Almekinders
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Alba Llop-Guevara
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Helen R Davies
- Academic Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, CB2 0QQ Cambridge, UK; Early Cancer Institute, University of Cambridge, CB2 0XZ Cambridge, UK
| | - Matthijs J van Haren
- Biological Chemistry Group, Institute of Biology Leiden, Leiden University, 2302 BH Leiden, the Netherlands
| | - Nathaniel I Martin
- Biological Chemistry Group, Institute of Biology Leiden, Leiden University, 2302 BH Leiden, the Netherlands
| | - Fariba Behbod
- Department of Pathology and Laboratory Medicine, The University of Kansas Medical Center, Kansas City, KS 66103, USA
| | - Serena Nik-Zainal
- Academic Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, CB2 0QQ Cambridge, UK; Early Cancer Institute, University of Cambridge, CB2 0XZ Cambridge, UK
| | - Violeta Serra
- Experimental Therapeutics Group, Vall d'Hebron Institute of Oncology, 08035 Barcelona, Spain
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Esther H Lips
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Lodewyk F A Wessels
- Oncode Institute, Amsterdam, the Netherlands; Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands
| | - Jelle Wesseling
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Division of Diagnostic Oncology, Netherlands Cancer Institute - Antonie van Leeuwenhoek Hospital, 1066 CX Amsterdam, the Netherlands; Department of Pathology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands
| | - Colinda L G J Scheele
- Center for Cancer Biology, VIB, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands.
| |
Collapse
|
7
|
Conway JRW, Warren SC, Lee YK, McCulloch AT, Magenau A, Lee V, Metcalf XL, Stoehr J, Haigh K, Abdulkhalek L, Guaman CS, Reed DA, Murphy KJ, Pereira BA, Mélénec P, Chambers C, Latham SL, Lenthall H, Deenick EK, Ma Y, Phan T, Lim E, Joshua AM, Walters S, Grey ST, Shi YC, Zhang L, Herzog H, Croucher DR, Philp A, Scheele CLGJ, Herrmann D, Sansom OJ, Morton JP, Papa A, Haigh JJ, Nobis M, Timpson P. Monitoring AKT activity and targeting in live tissue and disease contexts using a real-time Akt-FRET biosensor mouse. Sci Adv 2023; 9:eadf9063. [PMID: 37126544 PMCID: PMC10132756 DOI: 10.1126/sciadv.adf9063] [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] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Aberrant AKT activation occurs in a number of cancers, metabolic syndrome, and immune disorders, making it an important target for the treatment of many diseases. To monitor spatial and temporal AKT activity in a live setting, we generated an Akt-FRET biosensor mouse that allows longitudinal assessment of AKT activity using intravital imaging in conjunction with image stabilization and optical window technology. We demonstrate the sensitivity of the Akt-FRET biosensor mouse using various cancer models and verify its suitability to monitor response to drug targeting in spheroid and organotypic models. We also show that the dynamics of AKT activation can be monitored in real time in diverse tissues, including in individual islets of the pancreas, in the brown and white adipose tissue, and in the skeletal muscle. Thus, the Akt-FRET biosensor mouse provides an important tool to study AKT dynamics in live tissue contexts and has broad preclinical applications.
Collapse
Affiliation(s)
- James R W Conway
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520 Turku, Finland
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sean C Warren
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Young-Kyung Lee
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Andrew T McCulloch
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- School of Clinical Medicine, UNSW Sydney, Randwick Clinical Campus, Sydney, NSW, Australia
| | - Astrid Magenau
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Victoria Lee
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Xanthe L Metcalf
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Janett Stoehr
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Katharina Haigh
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | - Lea Abdulkhalek
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Cristian S Guaman
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Daniel A Reed
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Kendelle J Murphy
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Brooke A Pereira
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Pauline Mélénec
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Cecilia Chambers
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Sharissa L Latham
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Helen Lenthall
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
| | - Elissa K Deenick
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Yuanqing Ma
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Tri Phan
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Elgene Lim
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Anthony M Joshua
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Stacey Walters
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
| | - Shane T Grey
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Yan-Chuan Shi
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Lei Zhang
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - Herbert Herzog
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
| | - David R Croucher
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Andy Philp
- School of Clinical Medicine, Randwick Clinical Campus, UNSW Sydney, Centre for Healthy Ageing, Centenary Institute, Missenden Road, Sydney, NSW 2050, Australia
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Colinda L G J Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium
- Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - David Herrmann
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, Glasgow G611BD, UK
- School of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow G611QH, UK
| | - Jennifer P Morton
- Cancer Research UK Beatson Institute, Glasgow G611BD, UK
- School of Cancer Sciences, Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow G611QH, UK
| | - Antonella Papa
- Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC 3800, Australia
| | - Jody J Haigh
- Department of Pharmacology and Therapeutics, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Manitoba, Canada
| | - Max Nobis
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium
- Intravital Imaging Expertise Center, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium
| | - Paul Timpson
- Garvan Institute of Medical Research & The Kinghorn Cancer Centre, Sydney, NSW 2010, Australia
- St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW 2010, Australia
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
| |
Collapse
|
8
|
Hannezo E, Scheele CLGJ. A Guide Toward Multi-scale and Quantitative Branching Analysis in the Mammary Gland. Methods Mol Biol 2023; 2608:183-205. [PMID: 36653709 DOI: 10.1007/978-1-0716-2887-4_12] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
The mammary gland consists of a bilayered epithelial structure with an extensively branched morphology. The majority of this epithelial tree is laid down during puberty, during which actively proliferating terminal end buds repeatedly elongate and bifurcate to form the basic structure of the ductal tree. Mammary ducts consist of a basal and luminal cell layer with a multitude of identified sub-lineages within both layers. The understanding of how these different cell lineages are cooperatively driving branching morphogenesis is a problem of crossing multiple scales, as this requires information on the macroscopic branched structure of the gland, as well as data on single-cell dynamics driving the morphogenic program. Here we describe a method to combine genetic lineage tracing with whole-gland branching analysis. Quantitative data on the global organ structure can be used to derive a model for mammary gland branching morphogenesis and provide a backbone on which the dynamics of individual cell lineages can be simulated and compared to lineage-tracing approaches. Eventually, these quantitative models and experiments allow to understand the couplings between the macroscopic shape of the mammary gland and the underlying single-cell dynamics driving branching morphogenesis.
Collapse
Affiliation(s)
- Edouard Hannezo
- Institute of Science and Technology Austria (IST), Klosterneuburg, Austria
| | - Colinda L G J Scheele
- VIB Center for Cancer Biology, Leuven, Belgium. .,Department of Oncology, KU Leuven, Leuven, Belgium.
| |
Collapse
|
9
|
Houthuijzen JM, de Bruijn R, van der Burg E, Drenth AP, Wientjens E, Filipovic T, Bullock E, Brambillasca CS, Pulver EM, Nieuwland M, de Rink I, van Diepen F, Klarenbeek S, Kerkhoven R, Brunton VG, Scheele CLGJ, Boelens MC, Jonkers J. CD26-negative and CD26-positive tissue-resident fibroblasts contribute to functionally distinct CAF subpopulations in breast cancer. Nat Commun 2023; 14:183. [PMID: 36635273 PMCID: PMC9837080 DOI: 10.1038/s41467-023-35793-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 01/03/2023] [Indexed: 01/14/2023] Open
Abstract
Cancer-associated fibroblasts (CAFs) are abundantly present in the microenvironment of virtually all tumors and strongly impact tumor progression. Despite increasing insight into their function and heterogeneity, little is known regarding the origin of CAFs. Understanding the origin of CAF heterogeneity is needed to develop successful CAF-based targeted therapies. Through various transplantation studies in mice, we show that CAFs in both invasive lobular breast cancer and triple-negative breast cancer originate from mammary tissue-resident normal fibroblasts (NFs). Single-cell transcriptomics, in vivo and in vitro studies reveal the transition of CD26+ and CD26- NF populations into inflammatory CAFs (iCAFs) and myofibroblastic CAFs (myCAFs), respectively. Functional co-culture experiments show that CD26+ NFs transition into pro-tumorigenic iCAFs which recruit myeloid cells in a CXCL12-dependent manner and enhance tumor cell invasion via matrix-metalloproteinase (MMP) activity. Together, our data suggest that CD26+ and CD26- NFs transform into distinct CAF subpopulations in mouse models of breast cancer.
Collapse
Affiliation(s)
- Julia M Houthuijzen
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Roebi de Bruijn
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.,Division of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Eline van der Burg
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Anne Paulien Drenth
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ellen Wientjens
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Tamara Filipovic
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Esme Bullock
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Chiara S Brambillasca
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Emilia M Pulver
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Marja Nieuwland
- Genomics Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Iris de Rink
- Genomics Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Frank van Diepen
- Flow Cytometry Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sjoerd Klarenbeek
- Experimental Animal Pathology Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ron Kerkhoven
- Genomics Core Facility, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Valerie G Brunton
- Cancer Research UK Edinburgh Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Colinda L G J Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium.,Department of Oncology, KU Leuven, Leuven, Belgium
| | - Mirjam C Boelens
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jos Jonkers
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
| |
Collapse
|
10
|
Fankhaenel M, Hashemi FSG, Mourao L, Lucas E, Hosawi MM, Skipp P, Morin X, Scheele CLGJ, Elias S. Annexin A1 is a polarity cue that directs mitotic spindle orientation during mammalian epithelial morphogenesis. Nat Commun 2023; 14:151. [PMID: 36631478 PMCID: PMC9834401 DOI: 10.1038/s41467-023-35881-x] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 01/05/2023] [Indexed: 01/12/2023] Open
Abstract
Oriented cell divisions are critical for the formation and maintenance of structured epithelia. Proper mitotic spindle orientation relies on polarised anchoring of force generators to the cell cortex by the evolutionarily conserved protein complex formed by the Gαi subunit of heterotrimeric G proteins, the Leucine-Glycine-Asparagine repeat protein (LGN) and the nuclear mitotic apparatus protein. However, the polarity cues that control cortical patterning of this ternary complex remain largely unknown in mammalian epithelia. Here we identify the membrane-associated protein Annexin A1 (ANXA1) as an interactor of LGN in mammary epithelial cells. Annexin A1 acts independently of Gαi to instruct the accumulation of LGN and nuclear mitotic apparatus protein at the lateral cortex to ensure cortical anchoring of Dynein-Dynactin and astral microtubules and thereby planar alignment of the mitotic spindle. Loss of Annexin A1 randomises mitotic spindle orientation, which in turn disrupts epithelial architecture and luminogenesis in three-dimensional cultures of primary mammary epithelial cells. Our findings establish Annexin A1 as an upstream cortical cue that regulates LGN to direct planar cell divisions during mammalian epithelial morphogenesis.
Collapse
Affiliation(s)
- Maria Fankhaenel
- School of Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Insitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
| | - Farahnaz S Golestan Hashemi
- School of Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Insitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
| | - Larissa Mourao
- VIB-KULeuven Center for Cancer Biology, Herestraat 49, 3000, Leuven, Belgium
| | - Emily Lucas
- School of Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Insitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
| | - Manal M Hosawi
- School of Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Insitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
| | - Paul Skipp
- School of Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Insitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.,Centre for Proteomic Research, University of Southampton, Southampton, SO17 1BJ, UK
| | - Xavier Morin
- Ecole Normale Supérieure, CNRS, Inserm, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), PSL Research University, Paris, France
| | | | - Salah Elias
- School of Biological Sciences, University of Southampton, Southampton, SO17 1BJ, UK. .,Insitute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
| |
Collapse
|
11
|
Scheele CLGJ, Herrmann D, Yamashita E, Celso CL, Jenne CN, Oktay MH, Entenberg D, Friedl P, Weigert R, Meijboom FLB, Ishii M, Timpson P, van Rheenen J. Multiphoton intravital microscopy of rodents. Nat Rev Methods Primers 2022; 2:89. [PMID: 37621948 PMCID: PMC10449057 DOI: 10.1038/s43586-022-00168-w] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/12/2022] [Indexed: 08/26/2023]
Abstract
Tissues are heterogeneous with respect to cellular and non-cellular components and in the dynamic interactions between these elements. To study the behaviour and fate of individual cells in these complex tissues, intravital microscopy (IVM) techniques such as multiphoton microscopy have been developed to visualize intact and live tissues at cellular and subcellular resolution. IVM experiments have revealed unique insights into the dynamic interplay between different cell types and their local environment, and how this drives morphogenesis and homeostasis of tissues, inflammation and immune responses, and the development of various diseases. This Primer introduces researchers to IVM technologies, with a focus on multiphoton microscopy of rodents, and discusses challenges, solutions and practical tips on how to perform IVM. To illustrate the unique potential of IVM, several examples of results are highlighted. Finally, we discuss data reproducibility and how to handle big imaging data sets.
Collapse
Affiliation(s)
- Colinda L. G. J. Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - David Herrmann
- Cancer Ecosystems Program, Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Department, Sydney, New South Wales, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Erika Yamashita
- Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
- WPI-Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Cristina Lo Celso
- Department of Life Sciences and Centre for Hematology, Imperial College London, London, UK
- Sir Francis Crick Institute, London, UK
| | - Craig N. Jenne
- Snyder Institute for Chronic Diseases, University of Calgary, Calgary, Alberta, Canada
| | - Maja H. Oktay
- Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - David Entenberg
- Department of Pathology, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Peter Friedl
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, Netherlands
- David H. Koch Center for Applied Genitourinary Cancers, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Roberto Weigert
- Laboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Franck L. B. Meijboom
- Department of Population Health Sciences, Sustainable Animal Stewardship, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands
- Faculty of Humanities, Ethics Institute, Utrecht University, Utrecht, Netherlands
| | - Masaru Ishii
- Department of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, Japan
- WPI-Immunology Frontier Research Center, Osaka University, Osaka, Japan
- Laboratory of Bioimaging and Drug Discovery, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan
| | - Paul Timpson
- Cancer Ecosystems Program, Garvan Institute of Medical Research and The Kinghorn Cancer Centre, Cancer Department, Sydney, New South Wales, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
| |
Collapse
|
12
|
Rios AC, van Rheenen J, Scheele CLGJ. Multidimensional Imaging of Breast Cancer. Cold Spring Harb Perspect Med 2022; 13:cshperspect.a041330. [PMID: 36167726 PMCID: PMC10153799 DOI: 10.1101/cshperspect.a041330] [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: 11/25/2022]
Abstract
Breast cancer is a pathological condition characterized by high morphological and molecular heterogeneity. Not only the breast cancer cells, but also their tumor micro-environment consists of a multitude of cell types and states, which continuously evolve throughout progression of the disease. To understand breast cancer evolution within this complex environment, in situ analysis of breast cancer and their co-evolving cells and structures in space and time are essential. In this review, recent technical advances in three-dimensional (3D) and intravital imaging of breast cancer are discussed. Moreover, we highlight the resulting new knowledge on breast cancer biology obtained through these innovative imaging technologies. Finally, we discuss how multidimensional imaging technologies can be integrated with molecular profiling to understand the full complexity of breast cancer and the tumor micro-environment during tumor progression and treatment response.
Collapse
Affiliation(s)
- Anne C Rios
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands.,Oncode Institute, 3521 AL Utrecht, The Netherlands
| | - Jacco van Rheenen
- Oncode Institute, 3521 AL Utrecht, The Netherlands.,Department of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Colinda L G J Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, 3000 Leuven, Belgium.,Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| |
Collapse
|
13
|
Caruso M, Huang S, Mourao L, Scheele CLGJ. A Mammary Organoid Model to Study Branching Morphogenesis. Front Physiol 2022; 13:826107. [PMID: 35399282 PMCID: PMC8988230 DOI: 10.3389/fphys.2022.826107] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/31/2022] [Indexed: 11/17/2022] Open
Abstract
Branching morphogenesis is the process that gives rise to branched structures in several organs, such as the lung, the kidney, and the mammary gland. Although morphologically well described, the exact mechanisms driving branch elongation and bifurcation are still poorly understood. Signaling cues from the stroma and extracellular matrix have an important role in driving branching morphogenesis. Organoid models derived from primary mammary epithelial cells have emerged as a powerful tool to gain insight into branching morphogenesis of the mammary gland. However, current available mammary organoid culture protocols result in morphologically simple structures which do not resemble the complex branched structure of the in vivo mammary gland. Supplementation of growth factors to mammary organoids cultured in basement membrane extract or collagen I were shown to induce bud formation and elongation but are not sufficient to drive true branching events. Here, we present an improved culture approach based on 3D primary mammary epithelial cell culture to develop branched organoids with a complex morphology. By alternating the addition of fibroblast growth factor 2 and epidermal growth factor to mammary organoids cultured in a basement membrane extract matrix enriched with collagen type I fibers, we obtain complex mammary organoid structures with primary, secondary, and tertiary branches over a period of 15–20 days. Mammary organoid structures grow >1 mm in size and show an elongated and branched shape which resembles in vivo mammary gland morphology. This novel branched mammary organoid model offers many possibilities to study the mechanisms of branching in the developing mammary gland.
Collapse
Affiliation(s)
- Marika Caruso
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
| | - Sjanie Huang
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
| | - Larissa Mourao
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
| | - Colinda L. G. J. Scheele
- Laboratory for Intravital Imaging and Dynamics of Tumor Progression, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium
- Department of Oncology, KU Leuven, Leuven, Belgium
- *Correspondence: Colinda L. G. J. Scheele,
| |
Collapse
|
14
|
Mourao L, Ciwinska M, van Rheenen J, Scheele CLGJ. Longitudinal Intravital Microscopy using a Mammary Imaging Window with Replaceable Lid. J Vis Exp 2022. [DOI: 10.3791/63326] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
|
15
|
van der Leun AM, Hoekstra ME, Reinalda L, Scheele CLGJ, Toebes M, van de Graaff MJ, Chen LYY, Li H, Bercovich A, Lubling Y, David E, Thommen DS, Tanay A, van Rheenen J, Amit I, van Kasteren SI, Schumacher TN. Single-cell analysis of regions of interest (SCARI) using a photosensitive tag. Nat Chem Biol 2021; 17:1139-1147. [PMID: 34504322 PMCID: PMC7611907 DOI: 10.1038/s41589-021-00839-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 06/24/2021] [Indexed: 11/25/2022]
Abstract
The functional activity and differentiation potential of cells are determined by their interactions with surrounding cells. Approaches that allow unbiased characterization of cell states while at the same time providing spatial information are of major value to assess this environmental influence. However, most current techniques are hampered by a tradeoff between spatial resolution and cell profiling depth. Here, we develop a photocage-based technology that allows isolation and in-depth analysis of live cells from regions of interest in complex ex vivo systems, including primary human tissues. The use of a highly sensitive 4-nitrophenyl(benzofuran) cage coupled to a set of nanobodies allows high-resolution photo-uncaging of different cell types in areas of interest. Single-cell RNA-sequencing of spatially defined CD8+ T cells is used to exemplify the feasibility of identifying location-dependent cell states. The technology described here provides a valuable tool for the analysis of spatially defined cells in diverse biological systems, including clinical samples.
Collapse
Affiliation(s)
- Anne M van der Leun
- Division of Molecular Oncology & Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Mirjam E Hoekstra
- Division of Molecular Oncology & Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Luuk Reinalda
- Department of Bio-Organic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden, Netherlands
| | - Colinda L G J Scheele
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
- VIB-KULeuven Center for Cancer Biology, Leuven, Belgium
| | - Mireille Toebes
- Division of Molecular Oncology & Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Michel J van de Graaff
- Department of Bio-Organic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden, Netherlands
- SeraNovo, Leiden, Netherlands
| | - Linda Y Y Chen
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Hanjie Li
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
- Shenzhen Institute of Synthetic Biology, Shenzhen, China
| | - Akhiad Bercovich
- Department of Computer Science and Applied Mathematics and Department of Biological Regulation, Weizmann Institute, Rehovot, Israel
| | - Yaniv Lubling
- Department of Computer Science and Applied Mathematics and Department of Biological Regulation, Weizmann Institute, Rehovot, Israel
- Cancer Research UK Cambridge Institute, Cambridge, UK
| | - Eyal David
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Daniela S Thommen
- Division of Molecular Oncology & Immunology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Amos Tanay
- Department of Computer Science and Applied Mathematics and Department of Biological Regulation, Weizmann Institute, Rehovot, Israel
| | - Jacco van Rheenen
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ido Amit
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Sander I van Kasteren
- Department of Bio-Organic Synthesis, Leiden Institute of Chemistry, Leiden University, Leiden, Netherlands.
| | - Ton N Schumacher
- Division of Molecular Oncology & Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands.
| |
Collapse
|
16
|
Messal HA, van Rheenen J, Scheele CLGJ. An Intravital Microscopy Toolbox to Study Mammary Gland Dynamics from Cellular Level to Organ Scale. J Mammary Gland Biol Neoplasia 2021; 26:9-27. [PMID: 33945058 PMCID: PMC8217050 DOI: 10.1007/s10911-021-09487-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 04/18/2021] [Indexed: 02/08/2023] Open
Abstract
The architecture of the mouse mammary gland is highly dynamic and constantly remodeled during pubertal development and estrous cycle-driven sprouting and regression of alveolar side branches. During each of these developmental stages, turnover is driven by distinct subsets of mammary epithelial cells. Extensive previous research has shed light on the unique morphological and cell biological characteristics of each stage. However, technological shortcomings failed to capture the dynamics and single-cell contributions to mammary remodeling. Here, we developed in vivo imaging strategies to follow the same mammary ducts over time and quantify the dynamics of mammary gland growth and remodeling from single-cell level to organ scale. Using a combination of intravital microscopy and genetic reporter systems we show how proliferative heterogeneity drives ductal morphogenesis during different developmental stages. To visualize pubertal growth at the cellular level, we performed long-term time-lapse imaging of extending terminal end buds through a mammary imaging window. We show that single-cells within the terminal end buds are extremely motile and continuously exchange position whilst the duct is elongating. To visualize short-term remodeling in the adult mammary gland at the single cell level, we performed multi-day intravital imaging in photoconvertible Kikume Green-Red mice and fluorescent ubiquitination-based cell cycle indicator mice. We demonstrate that the contribution of single-cells to estrous-driven remodeling is highly variable between cells in the same micro-environment. To assess the effects of this dynamic proliferative contribution on the long-term stability of tissue architecture, we developed a repeated skin flap method to assess mammary gland morphology by intravital microscopy over extended time spans for up to six months. Interestingly, in contrast to the short-term dynamic remodeling, the long-term morphology of the mammary gland remains remarkably stable. Together, our tool box of imaging strategies allows to identify and map transient and continuing dynamics of single cells to the architecture of the mammary gland.
Collapse
Affiliation(s)
- Hendrik A. Messal
- grid.430814.aDivision of Molecular Pathology, Netherlands Cancer Institute, Oncode Institute, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
| | - Jacco van Rheenen
- grid.430814.aDivision of Molecular Pathology, Netherlands Cancer Institute, Oncode Institute, Plesmanlaan 121, 1066CX, Amsterdam, The Netherlands
| | | |
Collapse
|
17
|
Li L, Ugalde AP, Scheele CLGJ, Dieter SM, Nagel R, Ma J, Pataskar A, Korkmaz G, Elkon R, Chien MP, You L, Su PR, Bleijerveld OB, Altelaar M, Momchev L, Manber Z, Han R, van Breugel PC, Lopes R, ten Dijke P, van Rheenen J, Agami R. A comprehensive enhancer screen identifies TRAM2 as a key and novel mediator of YAP oncogenesis. Genome Biol 2021; 22:54. [PMID: 33514403 PMCID: PMC7845134 DOI: 10.1186/s13059-021-02272-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 01/14/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Frequent activation of the co-transcriptional factor YAP is observed in a large number of solid tumors. Activated YAP associates with enhancer loci via TEAD4-DNA-binding protein and stimulates cancer aggressiveness. Although thousands of YAP/TEAD4 binding-sites are annotated, their functional importance is unknown. Here, we aim at further identification of enhancer elements that are required for YAP functions. RESULTS We first apply genome-wide ChIP profiling of YAP to systematically identify enhancers that are bound by YAP/TEAD4. Next, we implement a genetic approach to uncover functions of YAP/TEAD4-associated enhancers, demonstrate its robustness, and use it to reveal a network of enhancers required for YAP-mediated proliferation. We focus on EnhancerTRAM2, as its target gene TRAM2 shows the strongest expression-correlation with YAP activity in nearly all tumor types. Interestingly, TRAM2 phenocopies the YAP-induced cell proliferation, migration, and invasion phenotypes and correlates with poor patient survival. Mechanistically, we identify FSTL-1 as a major direct client of TRAM2 that is involved in these phenotypes. Thus, TRAM2 is a key novel mediator of YAP-induced oncogenic proliferation and cellular invasiveness. CONCLUSIONS YAP is a transcription co-factor that binds to thousands of enhancer loci and stimulates tumor aggressiveness. Using unbiased functional approaches, we dissect YAP enhancer network and characterize TRAM2 as a novel mediator of cellular proliferation, migration, and invasion. Our findings elucidate how YAP induces cancer aggressiveness and may assist diagnosis of cancer metastasis.
Collapse
Affiliation(s)
- Li Li
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Alejandro P. Ugalde
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Colinda L. G. J. Scheele
- Division of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Sebastian M. Dieter
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Remco Nagel
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Jin Ma
- Department of Molecular Cell Biology, Cancer Genomics Centre Netherlands, Leiden University Medical Center, Leiden, The Netherlands
| | - Abhijeet Pataskar
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Gozde Korkmaz
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Ran Elkon
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Miao-Ping Chien
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Li You
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pin-Rui Su
- Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Onno B. Bleijerveld
- Proteomics Facility, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Maarten Altelaar
- Proteomics Facility, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Biomolecular Mass Spectrometry and Proteomics, Bijvt Centre for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Lyubomir Momchev
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Zohar Manber
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ruiqi Han
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Pieter C. van Breugel
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Rui Lopes
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
| | - Peter ten Dijke
- Department of Molecular Cell Biology, Cancer Genomics Centre Netherlands, Leiden University Medical Center, Leiden, The Netherlands
| | - Jacco van Rheenen
- Division of Molecular Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
| | - Reuven Agami
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066CX Amsterdam, The Netherlands
- Erasmus MC, Rotterdam University, Rotterdam, The Netherlands
| |
Collapse
|
18
|
Damen MPF, van Rheenen J, Scheele CLGJ. Targeting dormant tumor cells to prevent cancer recurrence. FEBS J 2020; 288:6286-6303. [PMID: 33190412 DOI: 10.1111/febs.15626] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 11/03/2020] [Accepted: 11/11/2020] [Indexed: 12/14/2022]
Abstract
Over the years, developments in oncology led to significantly improved clinical outcome for cancer patients. However, cancer recurrence after initial treatment response still poses a major challenge, as it often involves more aggressive, metastatic disease. The presence of dormant cancer cells is associated with recurrence, metastasis, and poor clinical outcome, suggesting that these cells may play a crucial role in the process of disease relapse. Cancer cell dormancy typically presents as growth arrest while retaining proliferative capacity and can be induced or reversed by a wide array of cell-intrinsic and cell-extrinsic factors. Conventional therapies preferentially target fast-dividing cells, leaving dormant cancer cells largely insensitive to these treatments. In this review, we discuss the role of dormant cancer cells in cancer recurrence and highlight how novel therapy strategies based on cell-cycle modulation, modifications of existing drugs, or enhanced drug-delivery vehicles may be used to specifically target this subpopulation of tumor cells, and thereby have the potential to prevent disease recurrence.
Collapse
Affiliation(s)
- Maartje P F Damen
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Jacco van Rheenen
- Division of Molecular Pathology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | |
Collapse
|
19
|
Fumagalli A, Bruens L, Scheele CLGJ, van Rheenen J. Capturing Stem Cell Behavior Using Intravital and Live Cell Microscopy. Cold Spring Harb Perspect Biol 2020; 12:cshperspect.a035949. [PMID: 31767651 DOI: 10.1101/cshperspect.a035949] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Stem cells maintain tissue homeostasis by driving cellular turnover and regeneration upon damage. They reside within specialized niches that provide the signals required for stem cell maintenance. Stem cells have been identified in many tissues and cancer types, but their behavior within the niche and their reaction to microenvironmental signals were inferred from limited static observations. Recent advances in live imaging techniques, such as live cell imaging and intravital microscopy, have allowed the visualization of stem cell behavior and dynamics over time in their (near) native environment. Through these recent technological advances, it is now evident that stem cells are much more dynamic than previously anticipated, resulting in a model in which stemness is a state that can be gained or lost over time. In this review, we will highlight how live imaging and intravital microscopy have unraveled previously unanticipated stem cell dynamics and plasticity during development, homeostasis, regeneration, and tumor formation.
Collapse
Affiliation(s)
- Arianna Fumagalli
- Molecular Pathology, Oncode Institute, the Netherlands Cancer Institute, Amsterdam 1066CX, Netherlands
| | - Lotte Bruens
- Molecular Pathology, Oncode Institute, the Netherlands Cancer Institute, Amsterdam 1066CX, Netherlands
| | - Colinda L G J Scheele
- Molecular Pathology, Oncode Institute, the Netherlands Cancer Institute, Amsterdam 1066CX, Netherlands
| | - Jacco van Rheenen
- Molecular Pathology, Oncode Institute, the Netherlands Cancer Institute, Amsterdam 1066CX, Netherlands
| |
Collapse
|
20
|
Hannezo E, Scheele CLGJ, Moad M, Drogo N, Heer R, Sampogna RV, van Rheenen J, Simons BD. A Unifying Theory of Branching Morphogenesis. Cell 2017; 171:242-255.e27. [PMID: 28938116 PMCID: PMC5610190 DOI: 10.1016/j.cell.2017.08.026] [Citation(s) in RCA: 106] [Impact Index Per Article: 15.1] [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] [Received: 01/24/2017] [Revised: 06/20/2017] [Accepted: 08/15/2017] [Indexed: 11/23/2022]
Abstract
The morphogenesis of branched organs remains a subject of abiding interest. Although much is known about the underlying signaling pathways, it remains unclear how macroscopic features of branched organs, including their size, network topology, and spatial patterning, are encoded. Here, we show that, in mouse mammary gland, kidney, and human prostate, these features can be explained quantitatively within a single unifying framework of branching and annihilating random walks. Based on quantitative analyses of large-scale organ reconstructions and proliferation kinetics measurements, we propose that morphogenesis follows from the proliferative activity of equipotent tips that stochastically branch and randomly explore their environment but compete neutrally for space, becoming proliferatively inactive when in proximity with neighboring ducts. These results show that complex branched epithelial structures develop as a self-organized process, reliant upon a strikingly simple but generic rule, without recourse to a rigid and deterministic sequence of genetically programmed events. Branching morphogenesis follows conserved statistical rules in multiple organs Ductal tips grow and branch as default state and stop dividing in high-density regions Model reproduces quantitatively organ properties in a parameter-free manner Shows that complex organ formation proceeds in a stochastic, self-organized manner
Collapse
Affiliation(s)
- Edouard Hannezo
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge CB3 0HE, UK; The Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK; The Wellcome Trust/Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge CB2 1QN, UK.
| | - Colinda L G J Scheele
- Cancer Genomics Netherlands, Hubrecht Institute-KNAW and University Medical Centre Utrecht, Utrecht 3584CT, the Netherlands
| | - Mohammad Moad
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne NE2 4AD, UK
| | - Nicholas Drogo
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, USA
| | - Rakesh Heer
- Northern Institute for Cancer Research, Newcastle University, Newcastle upon Tyne NE2 4AD, UK
| | - Rosemary V Sampogna
- Division of Nephrology, Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY 10032, USA
| | - Jacco van Rheenen
- Cancer Genomics Netherlands, Hubrecht Institute-KNAW and University Medical Centre Utrecht, Utrecht 3584CT, the Netherlands.
| | - Benjamin D Simons
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge CB3 0HE, UK; The Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK; The Wellcome Trust/Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge CB2 1QN, UK.
| |
Collapse
|
21
|
Scheele CLGJ, Maynard C, van Rheenen J. Intravital Insights into Heterogeneity, Metastasis, and Therapy Responses. Trends Cancer 2016; 2:205-216. [PMID: 28741572 DOI: 10.1016/j.trecan.2016.03.001] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 03/02/2016] [Accepted: 03/03/2016] [Indexed: 01/08/2023]
Abstract
Tumor progression is driven by a series of genetic and microenvironmental changes. These events lead to heterogeneous tumors which consist of a variety of cells from which some cells may possess properties which promote survival after therapy and metastasis. Recent advances in intravital microscopy (IVM) have enabled visualization of this tumor heterogeneity over time at a single-cell resolution. We highlight here the latest IVM studies that have revealed the dynamic interactions between the tumor cells and their local microenvironment. We review the most recent data that exposes how these dynamic interactions cause an additional increase in tumor heterogeneity, resulting in multiple metastatic strategies and facilitating therapy resistance.
Collapse
Affiliation(s)
- Colinda L G J Scheele
- Cancer Genomics Netherlands, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), and University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Carrie Maynard
- Cancer Genomics Netherlands, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), and University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Jacco van Rheenen
- Cancer Genomics Netherlands, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), and University Medical Centre Utrecht, Utrecht, The Netherlands.
| |
Collapse
|