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Juarez MN, McDermott A, Wade MG, Plante I. Exposure to brominated flame retardants in utero and through lactation delays the development of DMBA-induced mammary cancer: potential effects on subtypes? Front Endocrinol (Lausanne) 2024; 15:1429142. [PMID: 39610845 PMCID: PMC11602300 DOI: 10.3389/fendo.2024.1429142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 10/21/2024] [Indexed: 11/30/2024] Open
Abstract
Introduction Brominated flame retardants (BFRs) are chemical compounds used to reduce the flammability of various products; some BFRs exhibit endocrine-disrupting properties and can leach into the environment leading to human and wildlife exposure. The mammary gland has specific vulnerability windows during which it is more sensitive to the effects of endocrine disrupting compounds (EDCs), such as the in utero life, puberty and pregnancy. Our previous studies revealed precocious mammary gland development, disruptions in junctional proteins, and altered proliferation-apoptosis balance during puberty in rats exposed to BFRs in utero and through lactation. Such effects have been associated with increased mammary cancer risk. Objective The current study aimed to determine if in utero and lactational exposure to BFRs renders the mammary gland more susceptible to 7,12-dimethylbenz[a]anthracene (DMBA)-induced mammary cancer. Methods Dams were exposed to a BFRs mixture (0. 0.06 or 60 mg/kg/day), and mammary cancer was induced in pups using DMBA at post-natal day 46. Tumors onset and growth were monitored, and tumors were characterized using histology and molecular biology. Results Although BFRs exposure did not significantly affect mammary tumor number or burden, it showed significant delay in mammary tumor onset and growth in BFR-exposed animal. These effects could potentially be due to BFRs' impact on cellular responses, DMBA metabolism, or mammary gland shift of the sensitivity window. Molecular analysis of mammary tumors showed a shift in the ratio of luminal A, luminal B, and (HER2)-enriched tumors, and an increase in triple-negative breast cancer (TNBC) subtypes in BFR-exposed animals. Additionally, BFRs exposure showed lung lesions indicative of inflammation, independent of mammary cancer development. Conclusion Our study highlights the complex relationship between BFRs exposure and mammary cancer risk, emphasizing the need for further investigation into underlying mechanisms and long-term effects of BFRs on mammary gland development and carcinogenesis.
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MESH Headings
- Animals
- Female
- Flame Retardants/toxicity
- 9,10-Dimethyl-1,2-benzanthracene/toxicity
- Pregnancy
- Lactation
- Rats
- Prenatal Exposure Delayed Effects/chemically induced
- Prenatal Exposure Delayed Effects/pathology
- Mammary Neoplasms, Experimental/chemically induced
- Mammary Neoplasms, Experimental/pathology
- Mammary Neoplasms, Experimental/metabolism
- Rats, Sprague-Dawley
- Mammary Glands, Animal/drug effects
- Mammary Glands, Animal/pathology
- Mammary Glands, Animal/growth & development
- Mammary Glands, Animal/metabolism
- Endocrine Disruptors/toxicity
- Carcinogens/toxicity
- Halogenated Diphenyl Ethers/toxicity
- Maternal Exposure/adverse effects
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Affiliation(s)
- Melany N. Juarez
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, QC, Canada
| | - Alec McDermott
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, QC, Canada
| | - Michael G. Wade
- Environmental Health Science and Research Bureau, Healthy Environments and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
| | - Isabelle Plante
- INRS-Centre Armand-Frappier Santé Biotechnologie, Laval, QC, Canada
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Guo H, Xu X, Zhang J, Du Y, Yang X, He Z, Zhao L, Liang T, Guo L. The Pivotal Role of Preclinical Animal Models in Anti-Cancer Drug Discovery and Personalized Cancer Therapy Strategies. Pharmaceuticals (Basel) 2024; 17:1048. [PMID: 39204153 PMCID: PMC11357454 DOI: 10.3390/ph17081048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Revised: 08/02/2024] [Accepted: 08/07/2024] [Indexed: 09/03/2024] Open
Abstract
The establishment and utilization of preclinical animal models constitute a pivotal aspect across all facets of cancer research, indispensably contributing to the comprehension of disease initiation and progression mechanisms, as well as facilitating the development of innovative anti-cancer therapeutic approaches. These models have emerged as crucial bridges between basic and clinical research, offering multifaceted support to clinical investigations. This study initially focuses on the importance and benefits of establishing preclinical animal models, discussing the different types of preclinical animal models and recent advancements in cancer research. It then delves into cancer treatment, studying the characteristics of different stages of tumor development and the development of anti-cancer drugs. By integrating tumor hallmarks and preclinical research, we elaborate on the path of anti-cancer drug development and provide guidance on personalized cancer therapy strategies, including synthetic lethality approaches and novel drugs widely adopted in the field. Ultimately, we summarize a strategic framework for selecting preclinical safety experiments, tailored to experimental modalities and preclinical animal species, and present an outlook on the prospects and challenges associated with preclinical animal models. These models undoubtedly offer new avenues for cancer research, encompassing drug development and personalized anti-cancer protocols. Nevertheless, the road ahead continues to be lengthy and fraught with obstacles. Hence, we encourage researchers to persist in harnessing advanced technologies to refine preclinical animal models, thereby empowering these emerging paradigms to positively impact cancer patient outcomes.
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Affiliation(s)
- Haochuan Guo
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (H.G.); (X.X.); (J.Z.); (Y.D.); (X.Y.)
| | - Xinru Xu
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (H.G.); (X.X.); (J.Z.); (Y.D.); (X.Y.)
| | - Jiaxi Zhang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (H.G.); (X.X.); (J.Z.); (Y.D.); (X.Y.)
| | - Yajing Du
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (H.G.); (X.X.); (J.Z.); (Y.D.); (X.Y.)
| | - Xinbing Yang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (H.G.); (X.X.); (J.Z.); (Y.D.); (X.Y.)
| | - Zhiheng He
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China; (Z.H.); (L.Z.)
| | - Linjie Zhao
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China; (Z.H.); (L.Z.)
| | - Tingming Liang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China; (H.G.); (X.X.); (J.Z.); (Y.D.); (X.Y.)
| | - Li Guo
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, 9 Wenyuan Road, Nanjing 210023, China; (Z.H.); (L.Z.)
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Nicotra R, Lutz C, Messal HA, Jonkers J. Rat Models of Hormone Receptor-Positive Breast Cancer. J Mammary Gland Biol Neoplasia 2024; 29:12. [PMID: 38913216 PMCID: PMC11196369 DOI: 10.1007/s10911-024-09566-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/07/2024] [Indexed: 06/25/2024] Open
Abstract
Hormone receptor-positive (HR+) breast cancer (BC) is the most common type of breast cancer among women worldwide, accounting for 70-80% of all invasive cases. Patients with HR+ BC are commonly treated with endocrine therapy, but intrinsic or acquired resistance is a frequent problem, making HR+ BC a focal point of intense research. Despite this, the malignancy still lacks adequate in vitro and in vivo models for the study of its initiation and progression as well as response and resistance to endocrine therapy. No mouse models that fully mimic the human disease are available, however rat mammary tumor models pose a promising alternative to overcome this limitation. Compared to mice, rats are more similar to humans in terms of mammary gland architecture, ductal origin of neoplastic lesions and hormone dependency status. Moreover, rats can develop spontaneous or induced mammary tumors that resemble human HR+ BC. To date, six different types of rat models of HR+ BC have been established. These include the spontaneous, carcinogen-induced, transplantation, hormone-induced, radiation-induced and genetically engineered rat mammary tumor models. Each model has distinct advantages, disadvantages and utility for studying HR+ BC. This review provides a comprehensive overview of all published models to date.
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Affiliation(s)
- Raquel Nicotra
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- Oncode Institute, Amsterdam, Netherlands
| | - Catrin Lutz
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Oncode Institute, Amsterdam, Netherlands.
| | - Hendrik A Messal
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Oncode Institute, Amsterdam, Netherlands.
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Oncode Institute, Amsterdam, Netherlands.
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Morla-Barcelo PM, Laguna-Macarrilla D, Cordoba O, Matheu G, Oliver J, Roca P, Nadal-Serrano M, Sastre-Serra J. Unraveling malignant phenotype of peritumoral tissue: transcriptomic insights into early-stage breast cancer. Breast Cancer Res 2024; 26:89. [PMID: 38831458 PMCID: PMC11145834 DOI: 10.1186/s13058-024-01837-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 05/08/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND Early-stage invasive ductal carcinoma displays high survival rates due to early detection and treatments. However, there is still a chance of relapse of 3-15% after treatment. The aim of this study was to uncover the distinctive transcriptomic characteristics and monitoring prognosis potential of peritumoral tissue in early-stage cases. METHODS RNA was isolated from tumoral, peritumoral, and non-tumoral breast tissue from surgical resection of 10 luminal early-stage invasive ductal carcinoma patients. Transcriptome expression profiling for differentially expressed genes (DEGs) identification was carried out through microarray analysis. Gene Ontology and KEGG pathways enrichment analysis were explored for functional characterization of identified DEGs. Protein-Protein Interactions (PPI) networks analysis was performed to identify hub nodes of peritumoral tissue alterations and correlated with Overall Survival and Relapse Free Survival. RESULTS DEGs closely related with cell migration, extracellular matrix organization, and cell cycle were upregulated in peritumoral tissue compared to non-tumoral. Analyzing PPI networks, we observed that the proximity to tumor leads to the alteration of gene modules involved in cell proliferation and differentiation signaling pathways. In fact, in the peritumoral area were identified the top ten upregulated hub nodes including CDK1, ESR1, NOP58, PCNA, EZH2, PPP1CA, BUB1, TGFBR1, CXCR4, and CCND1. A signature performed by four of these hub nodes (CDK1, PCNA, EZH2, and BUB1) was associated with relapse events in untreated luminal breast cancer patients. CONCLUSIONS In conclusion, our study characterizes in depth breast peritumoral tissue providing clues on the changes that tumor signaling could cause in patients with early-stage breast cancer. We propose that the use of a four gene signature could help to predict local relapse. Overall, our results highlight the value of peritumoral tissue as a potential source of new biomarkers for early detection of relapse and improvement in invasive ductal carcinoma patient's prognosis.
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MESH Headings
- Humans
- Female
- Breast Neoplasms/genetics
- Breast Neoplasms/pathology
- Breast Neoplasms/mortality
- Breast Neoplasms/metabolism
- Gene Expression Profiling
- Transcriptome
- Gene Expression Regulation, Neoplastic
- Neoplasm Staging
- Prognosis
- Protein Interaction Maps/genetics
- Middle Aged
- Biomarkers, Tumor/genetics
- Gene Regulatory Networks
- Carcinoma, Ductal, Breast/genetics
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Ductal, Breast/metabolism
- Phenotype
- Neoplasm Recurrence, Local/genetics
- Neoplasm Recurrence, Local/pathology
- Aged
- Adult
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Affiliation(s)
- Pere Miquel Morla-Barcelo
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d'Investigació en Ciéncies de la Salut (IUNICS), Universitat de les Illes Balears, Palma, Illes Balears, Spain
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
| | - David Laguna-Macarrilla
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
- Departamento de Patología, Hospital Universitari Son Espases, Palma, Illes Balears, Spain
| | - Octavi Cordoba
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
- Servicio de Obstetricia y Ginecología, Hospital Universitari de Son Espases, Palma, Illes Balears, Spain
- Facultat de Medicina, Universitat de les Illes Balears, Palma, Illes Balears, Spain
| | - Gabriel Matheu
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
- Departamento de Patología, Hospital Universitari Son Espases, Palma, Illes Balears, Spain
| | - Jordi Oliver
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d'Investigació en Ciéncies de la Salut (IUNICS), Universitat de les Illes Balears, Palma, Illes Balears, Spain
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
- CIBER Fisiopatología Obesidad y Nutrición, Instituto Salud Carlos III, Madrid, Spain
| | - Pilar Roca
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d'Investigació en Ciéncies de la Salut (IUNICS), Universitat de les Illes Balears, Palma, Illes Balears, Spain
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
- CIBER Fisiopatología Obesidad y Nutrición, Instituto Salud Carlos III, Madrid, Spain
| | - Mercedes Nadal-Serrano
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d'Investigació en Ciéncies de la Salut (IUNICS), Universitat de les Illes Balears, Palma, Illes Balears, Spain.
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain.
| | - Jorge Sastre-Serra
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d'Investigació en Ciéncies de la Salut (IUNICS), Universitat de les Illes Balears, Palma, Illes Balears, Spain
- Instituto de Investigación Sanitaria de las Islas Baleares (IdISBa), Hospital Universitario Son Espases, Edificio S, Palma, Illes Balears, Spain
- CIBER Fisiopatología Obesidad y Nutrición, Instituto Salud Carlos III, Madrid, Spain
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Miller JL, Reddy A, Harman RM, Van de Walle GR. A xenotransplantation mouse model to study physiology of the mammary gland from large mammals. PLoS One 2024; 19:e0298390. [PMID: 38416747 PMCID: PMC10901318 DOI: 10.1371/journal.pone.0298390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/23/2024] [Indexed: 03/01/2024] Open
Abstract
Although highly conserved in structure and function, many (patho)physiological processes of the mammary gland vary drastically between mammals, with mechanisms regulating these differences not well understood. Large mammals display variable lactation strategies and mammary cancer incidence, however, research into these variations is often limited to in vitro analysis due to logistical limitations. Validating a model with functional mammary xenografts from cryopreserved tissue fragments would allow for in vivo comparative analysis of mammary glands from large and/or rare mammals and would improve our understanding of postnatal development, lactation, and premalignancy across mammals. To this end, we generated functional mammary xenografts using mammary tissue fragments containing mammary stroma and parenchyma isolated via an antibody-independent approach from healthy, nulliparous equine and canine donor tissues to study these species in vivo. Cryopreserved mammary tissue fragments were xenotransplanted into de-epithelialized fat pads of immunodeficient mice and resulting xenografts were structurally and functionally assessed. Preimplantation of mammary stromal fibroblasts was performed to promote ductal morphogenesis. Xenografts recapitulated mammary lobule architecture and contained donor-derived stromal components. Mammatropic hormone stimulation resulted in (i) upregulation of lactation-associated genes, (ii) altered proliferation index, and (iii) morphological changes, indicating functionality. Preimplantation of mammary stromal fibroblasts did not promote ductal morphogenesis. This model presents the opportunity to study novel mechanisms regulating unique lactation strategies and mammary cancer induction in vivo. Due to the universal applicability of this approach, this model serves as proof-of-concept for developing mammary xenografts for in vivo analysis of virtually any mammals, including large and rare mammals.
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Affiliation(s)
- James L Miller
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Alexandra Reddy
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Rebecca M Harman
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
| | - Gerlinde R Van de Walle
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York, United States of America
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Jain M, Goel A. Current Insights in Murine Models for Breast Cancer: Present, Past and Future. Curr Pharm Des 2024; 30:2267-2275. [PMID: 38910416 DOI: 10.2174/0113816128306053240604074142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/25/2024] [Accepted: 05/09/2024] [Indexed: 06/25/2024]
Abstract
Breast cancer is an intricate disease that is increasing at a fast pace, and numerous heterogeneities within it further make it difficult to investigate. We have always used animal models to understand cancer pathology and create an in vivo microenvironment that closely resembles human cancer. They are considered an indispensable part of any clinical investigation regarding cancer. Animal models have a high potency in identifying the relevant biomarkers and genetic pathways involved in the course of disease prognosis. Researchers have previously explored a variety of organisms, including Drosophila melanogaster, zebrafish, and guinea pigs, to analyse breast cancer, but murine models have proven the most comprehensive due to their homologous nature with human chromosomes, easy availability, simple gene editing, and high adaptability. The available models have their pros and cons, and it depends on the researcher to select the one most relevant to their research question. Chemically induced models are cost-effective and simple to create. Transplantation models such as allografts and xenografts can mimic the human breast cancer environment reliably. Genetically engineered mouse models (GEMMs) help to underpin the genetic alterations involved and test novel immunotherapies. Virus-mediated models and gene knockout models have also provided new findings regarding breast cancer progression and metastasis. These mouse models have also enabled the visualization of breast cancer metastases. It is also imperative to consider the cost-effectiveness of these models. Despite loopholes, mouse models have evolved and are required for disease analysis.
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Affiliation(s)
- Mansi Jain
- Department of Biotechnology, GLA University, Mathura, India
| | - Anjana Goel
- Department of Biotechnology, GLA University, Mathura, India
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Mehata AK, Singh V, Singh N, Mandal A, Dash D, Koch B, Muthu MS. Chitosan- g-estrone Nanoparticles of Palbociclib Vanished Hypoxic Breast Tumor after Targeted Delivery: Development and Ultrasound/Photoacoustic Imaging. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37433149 DOI: 10.1021/acsami.3c03184] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/13/2023]
Abstract
Breast cancer is the leading cause of death among women globally. Approximately 80% of all breast cancers diagnosed are overexpressed with estrogen receptors (ERs). In this study, we have developed an estrone (Egen)-grafted chitosan-based polymeric nanocarrier for the targeted delivery of palbociclib (PLB) to breast cancer. The nanoparticles (NPs) were prepared by solvent evaporation using the ionic gelation method and characterized for particle size, zeta potential, polydispersity, surface morphology, surface chemistry, drug entrapment efficiency, cytotoxicity assay, cellular uptake, and apoptosis study. The developed PLB-CS NPs and PLB-CS-g-Egen NPs had a particle size of 116.3 ± 1.53 nm and 141.6 ± 1.97 nm, respectively. The zeta potential of PLB-CS NPs and PLB-CS-g-Egen NPs was found to be 18.70 ± 0.416 mV and 12.45 ± 0.574 mV, respectively. The morphological analysis demonstrated that all NPs were spherical in shape and had a smooth surface. An in vitro cytotoxicity assay was performed in estrogen receptor (ER)-expressing MCF7 cells and T47D cells, which suggested that targeted NPs were 57.34- and 30.32-fold more cytotoxic compared to the pure PLB, respectively. Additionally, cell cycle analysis confirmed that cell cycle progression from the G1 into S phase was blocked more efficiently by targeted NPs compared to nontargeted NPs and PLB in MCF7 cells. In vivo pharmacokinetic studies demonstrated that entrapment of the PLB in the NPs improved the half-life and bioavailability by ∼2-3-fold. Further, ultrasound and photoacoustic imaging of DMBA induced breast cancer in the Sprague-Dawley (SD) rat showed that targeted NPs completely vanished breast tumor, reduced hypoxic tumor volume, and suppressed tumor angiogenesis more efficiently compared to the nontargeted NPs and free PLB. Further, in vitro hemocompatibility and histopathology studies suggested that NPs were biocompatible and safe for clinical use.
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Affiliation(s)
- Abhishesh Kumar Mehata
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology, (BHU), Varanasi 221005, Uttar Pradesh, India
| | - Virendra Singh
- Cancer Biology Laboratory, Department of Zoology Institute of Science, (BHU), Varanasi 221005, Uttar Pradesh, India
| | - Nitesh Singh
- Department of Biochemistry, Institute of Medical Sciences, (BHU), Varanasi 221005, Uttar Pradesh, India
| | - Abhijit Mandal
- Department of Radiotherapy and Radiation Medicine, Institute of Medical Sciences, (BHU), Varanasi 221005, Uttar Pradesh, India
| | - Debabrata Dash
- Department of Biochemistry, Institute of Medical Sciences, (BHU), Varanasi 221005, Uttar Pradesh, India
| | - Biplob Koch
- Cancer Biology Laboratory, Department of Zoology Institute of Science, (BHU), Varanasi 221005, Uttar Pradesh, India
| | - Madaswamy S Muthu
- Department of Pharmaceutical Engineering and Technology, Indian Institute of Technology, (BHU), Varanasi 221005, Uttar Pradesh, India
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Silva J, Faustino-Rocha AI, Duarte JA, Oliveira PA. Realistic aspects behind the application of the rat model of chemically-induced mammary cancer: Practical guidelines to obtain the best results. Vet World 2023; 16:1222-1230. [PMID: 37577198 PMCID: PMC10421542 DOI: 10.14202/vetworld.2023.1222-1230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 05/04/2023] [Indexed: 08/15/2023] Open
Abstract
Cancer is one of the most important public health problems worldwide. Despite the great contribution of in-vitro studies for biomedical research, animals are essential to study diseases' biopathology and diagnosis, and searching for new preventive and therapeutic strategies. Breast cancer is currently the most common cancer globally, accounting for 12.5% of all new annual cancer cases worldwide. Although the rat model of mammary cancer chemically-induced is widely used to study this disease, there is a lack of standardization in procedures for cancer induction, sample collection, and analysis. Therefore, it is important to provide a practical guide for researchers aiming to work with this model to make the analysis of results more uniform. Thus, in this review, we provide the researchers with a detailed step-by-step guide to implement a rat model of mammary cancer, based on our wide experience in this field, to obtain the best results, maximum throughput of each experiment, and easy comparison among researches.
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Affiliation(s)
- Jéssica Silva
- Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Vila Real, Portugal
- Institute for Innovation, Capacity Building and Sustainability of Agri-food Production (Inov4Agro), Vila Real, Portugal
| | - Ana I. Faustino-Rocha
- Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Vila Real, Portugal
- Institute for Innovation, Capacity Building and Sustainability of Agri-food Production (Inov4Agro), Vila Real, Portugal
- Department of Zootechnics, School of Sciences and Technology, University of Évora, Portugal
- Comprehensive Health Research Center, University of Évora, Évora, Portugal
| | - José Alberto Duarte
- Research Center for Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, Porto, Portugal
- Toxicology Research Unit (TOXRUN), Advanced Polytechnic and University Cooperative (CESPU), Gandra, Portugal
| | - Paula A. Oliveira
- Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Vila Real, Portugal
- Institute for Innovation, Capacity Building and Sustainability of Agri-food Production (Inov4Agro), Vila Real, Portugal
- Department of Veterinary Sciences, University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
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9
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Ferreira T, Gama A, Seixas F, Faustino-Rocha AI, Lopes C, Gaspar VM, Mano JF, Medeiros R, Oliveira PA. Mammary Glands of Women, Female Dogs and Female Rats: Similarities and Differences to Be Considered in Breast Cancer Research. Vet Sci 2023; 10:379. [PMID: 37368765 DOI: 10.3390/vetsci10060379] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/23/2023] [Accepted: 05/27/2023] [Indexed: 06/29/2023] Open
Abstract
Breast cancer is one of the most common and well-known types of cancer among women worldwide and is the most frequent neoplasm in intact female dogs. Female dogs are considered attractive models or studying spontaneous breast cancer, whereas female rats are currently the most widely used animal models for breast cancer research in the laboratory context. Both female dogs and female rats have contributed to the advancement of scientific knowledge in this field, and, in a "One Health" approach, they have allowed broad understanding of specific biopathological pathways, influence of environmental factors and screening/discovery of candidate therapies. This review aims to clearly showcase the similarities and differences among woman, female dog and female rat concerning to anatomical, physiological and histological features of the mammary gland and breast/mammary cancer epidemiology, in order to better portray breast tumorigenesis, and to ensure appropriate conclusions and extrapolation of results among species. We also discuss the major aspects that stand out in these species. The mammary glands of female dogs and women share structural similarities, especially with respect to the lactiferous ducts and lymphatic drainage. In contrast, female rats have only one lactiferous duct per nipple. A comprehensive comparison between humans and dogs is given a special focus, as these species share several aspects in terms of breast/mammary cancer epidemiology, such as age of onset, hormonal etiology, risk factors, and the clinical course of the disease. Holistically, it is clear that each species has advantages and limitations that researchers must consider during the development of experimental designs and data analysis.
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Affiliation(s)
- Tiago Ferreira
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto), Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
- Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Adelina Gama
- Animal and Veterinary Research Centre (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
| | - Fernanda Seixas
- Animal and Veterinary Research Centre (CECAV), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Associate Laboratory for Animal and Veterinary Sciences (AL4AnimalS), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
| | - Ana I Faustino-Rocha
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Department of Zootechnics, School of Sciences and Technology, University of Évora, 7004-516 Évora, Portugal
- Comprehensive Health Research Center, 7004-516 Évora, Portugal
| | - Carlos Lopes
- Portuguese Oncology Institute of Porto (IPO Porto), 4200-072 Porto, Portugal
| | - Vítor M Gaspar
- Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - João F Mano
- Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Rui Medeiros
- Molecular Oncology and Viral Pathology Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto), Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
- Faculty of Medicine, University of Porto (FMUP), 4200-319 Porto, Portugal
- Research Department of the Portuguese League against Cancer-Regional Nucleus of the North (Liga Portuguesa Contra o Cancro-Núcleo Regional do Norte), 4200-177 Porto, Portugal
- Virology Service, Portuguese Institute of Oncology (IPO), 4200-072 Porto, Portugal
- Biomedical Research Center (CEBIMED), Faculty of Health Sciences of the Fernando Pessoa University, 4249-004 Porto, Portugal
| | - Paula A Oliveira
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
- Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
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10
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Wakefield L, Agarwal S, Tanner K. Preclinical models for drug discovery for metastatic disease. Cell 2023; 186:1792-1813. [PMID: 37059072 DOI: 10.1016/j.cell.2023.02.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/13/2023] [Accepted: 02/21/2023] [Indexed: 04/16/2023]
Abstract
Despite many advances, metastatic disease remains essentially uncurable. Thus, there is an urgent need to better understand mechanisms that promote metastasis, drive tumor evolution, and underlie innate and acquired drug resistance. Sophisticated preclinical models that recapitulate the complex tumor ecosystem are key to this process. We begin with syngeneic and patient-derived mouse models that are the backbone of most preclinical studies. Second, we present some unique advantages of fish and fly models. Third, we consider the strengths of 3D culture models for resolving remaining knowledge gaps. Finally, we provide vignettes on multiplexed technologies to advance our understanding of metastatic disease.
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Affiliation(s)
- Lalage Wakefield
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Seema Agarwal
- Department of Pathology, Center for Cell Reprogramming, Georgetown University Medical Center, Washington, DC 20007, USA.
| | - Kandice Tanner
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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