1
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Wu CC, Huang L, Zhang Z, Ju Z, Song X, Kolb EA, Zhang W, Gill J, Ha M, Smith MA, Houghton P, Morton CL, Kurmasheva R, Maris J, Mosse Y, Lu Y, Gorlick R, Futreal PA, Beird HC. Whole genome and reverse protein phase array landscapes of patient derived osteosarcoma xenograft models. Sci Rep 2024; 14:19891. [PMID: 39191826 DOI: 10.1038/s41598-024-69382-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 08/05/2024] [Indexed: 08/29/2024] Open
Abstract
Osteosarcoma is the most common primary bone malignancy in children and young adults, and it has few treatment options. As a result, there has been little improvement in survival outcomes in the past few decades. The need for models to test novel therapies is especially great in this disease since it is both rare and does not respond to most therapies. To address this, an NCI-funded consortium has characterized and utilized a panel of patient-derived xenograft models of osteosarcoma for drug testing. The exomes, transcriptomes, and copy number landscapes of these models have been presented previously. This study now adds whole genome sequencing and reverse-phase protein array profiling data, which can be correlated with drug testing results. In addition, four additional osteosarcoma models are described for use in the research community.
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Affiliation(s)
- Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Licai Huang
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhongting Zhang
- Pediatric Division, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhenlin Ju
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - E Anders Kolb
- Nemours Center for Cancer and Blood Disorders, Alfred I. DuPont Hospital for Children, Wilmington, DE, USA
| | - Wendong Zhang
- Pediatric Division, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jonathan Gill
- Pediatric Division, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Min Ha
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Health Informatics and Biostatistics, Yonsei University, Seoul, Korea
| | - Malcolm A Smith
- Cancer Therapy Evaluation Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter Houghton
- Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | | | | | - John Maris
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yael Mosse
- Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yiling Lu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard Gorlick
- Pediatric Division, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hannah C Beird
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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2
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Musielak M, Bakun P, Liwarska J, Skupin-Mrugalska P, Piotrowski I, Suchorska W. Precision medicine in breast cancer: Targeting molecular subtypes with gold nanoparticle-loaded liposomes. Adv Med Sci 2024; 69:331-338. [PMID: 39025260 DOI: 10.1016/j.advms.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/29/2024] [Accepted: 07/15/2024] [Indexed: 07/20/2024]
Abstract
PURPOSE Breast cancer is a complex disease with several molecular subtypes that respond differently to therapy. This paper describes liposomes loaded with gold nanoparticles as a targeted drug delivery method in the rapidly developing precision breast cancer treatment area. The aim was to investigate the cytotoxicity level and cellular uptake using several breast cancer cell lines and a normal breast cell line. MATERIALS AND METHODS We synthesized gold nanoparticles incorporated in liposomes. Nanostructures were incubated with breast cancer cell lines of different subtypes. The analysis included MTT assay, flow cytometry and immunofluorescence. RESULTS Cell viability varied among different cancer cells. Moreover, the time- and concentration-dependent manner of viability change was observed. The internalization of liposomes with gold nanoparticles and nanoparticles alone determined different results depending on molecular breast cancer subtypes. The luminal B and triple-negative breast cancer cells demonstrated the highest resistance and sensitivity, respectively. The intensity of cells' interaction with the proposed nanostructures was observed in both cell lines. In this study, we compare the molecular subtypes of breast cancer and discuss how this novel method might improve the therapy success. CONCLUSIONS Our research sheds light on the possibility of new individualized treatments for breast cancer patients, opening the path for better results and a more detailed cancer therapy strategy.
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Affiliation(s)
- Marika Musielak
- Department of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland; Doctoral School, Poznan University of Medical Sciences, Poznan, Poland; Radiobiology Laboratory, Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland.
| | - Paweł Bakun
- Doctoral School, Poznan University of Medical Sciences, Poznan, Poland; Chair and Department of Chemical Technology of Drugs, Poznan University of Medical Sciences, Poznan, Poland
| | - Julia Liwarska
- Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Poznan, Poland
| | - Paulina Skupin-Mrugalska
- Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Poznan, Poland
| | - Igor Piotrowski
- Radiobiology Laboratory, Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland
| | - Wiktoria Suchorska
- Department of Electroradiology, Poznan University of Medical Sciences, Poznan, Poland; Radiobiology Laboratory, Department of Medical Physics, Greater Poland Cancer Centre, Poznan, Poland
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3
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White BS, Woo XY, Koc S, Sheridan T, Neuhauser SB, Wang S, Evrard YA, Chen L, Foroughi pour A, Landua JD, Mashl RJ, Davies SR, Fang B, Rosa MG, Evans KW, Bailey MH, Chen Y, Xiao M, Rubinstein JC, Sanderson BJ, Lloyd MW, Domanskyi S, Dobrolecki LE, Fujita M, Fujimoto J, Xiao G, Fields RC, Mudd JL, Xu X, Hollingshead MG, Jiwani S, Acevedo S, Davis-Dusenbery BN, Robinson PN, Moscow JA, Doroshow JH, Mitsiades N, Kaochar S, Pan CX, Carvajal-Carmona LG, Welm AL, Welm BE, Govindan R, Li S, Davies MA, Roth JA, Meric-Bernstam F, Xie Y, Herlyn M, Ding L, Lewis MT, Bult CJ, Dean DA, Chuang JH. A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis. Cancer Res 2024; 84:2060-2072. [PMID: 39082680 PMCID: PMC11217732 DOI: 10.1158/0008-5472.can-23-1349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/13/2023] [Accepted: 03/27/2024] [Indexed: 08/04/2024]
Abstract
Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of the intact tissue of immunocompromised mice. Histologic imaging via hematoxylin and eosin (H&E) staining is routinely performed on PDX samples, which could be harnessed for computational analysis. Prior studies of large clinical H&E image repositories have shown that deep learning analysis can identify intercellular and morphologic signals correlated with disease phenotype and therapeutic response. In this study, we developed an extensive, pan-cancer repository of >1,000 PDX and paired parental tumor H&E images. These images, curated from the PDX Development and Trial Centers Research Network Consortium, had a range of associated genomic and transcriptomic data, clinical metadata, pathologic assessments of cell composition, and, in several cases, detailed pathologic annotations of neoplastic, stromal, and necrotic regions. The amenability of these images to deep learning was highlighted through three applications: (i) development of a classifier for neoplastic, stromal, and necrotic regions; (ii) development of a predictor of xenograft-transplant lymphoproliferative disorder; and (iii) application of a published predictor of microsatellite instability. Together, this PDX Development and Trial Centers Research Network image repository provides a valuable resource for controlled digital pathology analysis, both for the evaluation of technical issues and for the development of computational image-based methods that make clinical predictions based on PDX treatment studies. Significance: A pan-cancer repository of >1,000 patient-derived xenograft hematoxylin and eosin-stained images will facilitate cancer biology investigations through histopathologic analysis and contributes important model system data that expand existing human histology repositories.
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Affiliation(s)
- Brian S. White
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
| | - Xing Yi Woo
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
- Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
| | - Soner Koc
- Velsera, Charlestown, Massachusetts.
| | - Todd Sheridan
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
| | | | - Shidan Wang
- University of Texas Southwestern Medical Center, Dallas, Texas.
| | - Yvonne A. Evrard
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
| | - Li Chen
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
| | - Ali Foroughi pour
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
| | | | - R. Jay Mashl
- Washington University School of Medicine, St. Louis, Missouri.
| | | | - Bingliang Fang
- University of Texas MD Anderson Cancer Center, Houston, Texas.
| | | | - Kurt W. Evans
- University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Matthew H. Bailey
- Simmons Center for Cancer Research, Brigham Young University, Provo, Utah.
| | - Yeqing Chen
- The Wistar Institute, Philadelphia, Pennsylvania.
| | - Min Xiao
- The Wistar Institute, Philadelphia, Pennsylvania.
| | | | | | | | - Sergii Domanskyi
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
| | | | - Maihi Fujita
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
| | - Junya Fujimoto
- University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Guanghua Xiao
- University of Texas Southwestern Medical Center, Dallas, Texas.
| | - Ryan C. Fields
- Washington University School of Medicine, St. Louis, Missouri.
| | | | - Xiaowei Xu
- The Wistar Institute, Philadelphia, Pennsylvania.
| | | | - Shahanawaz Jiwani
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
| | | | | | | | - Peter N. Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
| | | | | | | | | | | | | | - Alana L. Welm
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
| | - Bryan E. Welm
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
| | | | - Shunqiang Li
- Washington University School of Medicine, St. Louis, Missouri.
| | | | - Jack A. Roth
- University of Texas MD Anderson Cancer Center, Houston, Texas.
| | | | - Yang Xie
- University of Texas Southwestern Medical Center, Dallas, Texas.
| | | | - Li Ding
- Washington University School of Medicine, St. Louis, Missouri.
| | | | | | | | - Jeffrey H. Chuang
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
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4
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Garg P, Pareek S, Kulkarni P, Salgia R, Singhal SS. Nanoengineering Solutions for Cancer Therapy: Bridging the Gap between Clinical Practice and Translational Research. J Clin Med 2024; 13:3466. [PMID: 38929995 PMCID: PMC11204592 DOI: 10.3390/jcm13123466] [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: 05/23/2024] [Revised: 06/05/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
Nanoengineering has emerged as a progressive method in cancer treatment, offering precise and targeted delivery of therapeutic agents while concurrently reducing overall toxicity. This scholarly article delves into the innovative strategies and advancements in nanoengineering that bridge the gap between clinical practice and research in the field of cancer treatment. Various nanoengineered platforms such as nanoparticles, liposomes, and dendrimers are scrutinized for their capacity to encapsulate drugs, augment drug efficacy, and enhance pharmacokinetics. Moreover, the article investigates research breakthroughs that drive the progression and enhancement of nanoengineered remedies, encompassing the identification of biomarkers, establishment of preclinical models, and advancement of biomaterials, all of which are imperative for translating laboratory findings into practical medical interventions. Furthermore, the integration of nanotechnology with imaging modalities, which amplify cancer detection, treatment monitoring, and response assessment, is thoroughly examined. Finally, the obstacles and prospective directions in nanoengineering, including regulatory challenges and issues related to scalability, are examined. This underscores the significance of fostering collaboration among various entities in order to efficiently translate nanoengineered interventions into enhanced cancer therapies and patient management.
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Affiliation(s)
- Pankaj Garg
- Department of Chemistry, GLA University, Mathura 281406, Uttar Pradesh, India
| | - Siddhika Pareek
- Department of Medical Oncology and Therapeutics Research, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Prakash Kulkarni
- Department of Medical Oncology and Therapeutics Research, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Ravi Salgia
- Department of Medical Oncology and Therapeutics Research, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
| | - Sharad S. Singhal
- Department of Medical Oncology and Therapeutics Research, Beckman Research Institute of City of Hope, Comprehensive Cancer Center and National Medical Center, Duarte, CA 91010, USA
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5
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Troncoso-Afonso L, Vinnacombe-Willson GA, García-Astrain C, Liz-Márzan LM. SERS in 3D cell models: a powerful tool in cancer research. Chem Soc Rev 2024; 53:5118-5148. [PMID: 38607302 PMCID: PMC11104264 DOI: 10.1039/d3cs01049j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Indexed: 04/13/2024]
Abstract
Unraveling the cellular and molecular mechanisms underlying tumoral processes is fundamental for the diagnosis and treatment of cancer. In this regard, three-dimensional (3D) cancer cell models more realistically mimic tumors compared to conventional 2D cell cultures and are more attractive for performing such studies. Nonetheless, the analysis of such architectures is challenging because most available techniques are destructive, resulting in the loss of biochemical information. On the contrary, surface-enhanced Raman spectroscopy (SERS) is a non-invasive analytical tool that can record the structural fingerprint of molecules present in complex biological environments. The implementation of SERS in 3D cancer models can be leveraged to track therapeutics, the production of cancer-related metabolites, different signaling and communication pathways, and to image the different cellular components and structural features. In this review, we highlight recent progress in the use of SERS for the evaluation of cancer diagnosis and therapy in 3D tumoral models. We outline strategies for the delivery and design of SERS tags and shed light on the possibilities this technique offers for studying different cellular processes, through either biosensing or bioimaging modalities. Finally, we address current challenges and future directions, such as overcoming the limitations of SERS and the need for the development of user-friendly and robust data analysis methods. Continued development of SERS 3D bioimaging and biosensing systems, techniques, and analytical strategies, can provide significant contributions for early disease detection, novel cancer therapies, and the realization of patient-tailored medicine.
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Affiliation(s)
- Lara Troncoso-Afonso
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Department of Applied Chemistry, University of the Basque Country, 20018 Donostia-San Sebastián, Gipuzkoa, Spain
| | - Gail A Vinnacombe-Willson
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
| | - Clara García-Astrain
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales, y Nanomedicina (CIBER-BBN), Paseo de Miramón 182, 20014 Donostia-San Sebastián, Spain
| | - Luis M Liz-Márzan
- BioNanoPlasmonics Laboratory, CIC biomaGUNE, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales, y Nanomedicina (CIBER-BBN), Paseo de Miramón 182, 20014 Donostia-San Sebastián, Spain
- Ikerbasque Basque Foundation for Science, 48013 Bilbao, Spain
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6
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De Lazzari G, Opattova A, Arena S. Novel frontiers in urogenital cancers: from molecular bases to preclinical models to tailor personalized treatments in ovarian and prostate cancer patients. J Exp Clin Cancer Res 2024; 43:146. [PMID: 38750579 PMCID: PMC11094891 DOI: 10.1186/s13046-024-03065-0] [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] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/08/2024] [Indexed: 05/19/2024] Open
Abstract
Over the last few decades, the incidence of urogenital cancers has exhibited diverse trends influenced by screening programs and geographical variations. Among women, there has been a consistent or even increased occurrence of endometrial and ovarian cancers; conversely, prostate cancer remains one of the most diagnosed malignancies, with a rise in reported cases, partly due to enhanced and improved screening efforts.Simultaneously, the landscape of cancer therapeutics has undergone a remarkable evolution, encompassing the introduction of targeted therapies and significant advancements in traditional chemotherapy. Modern targeted treatments aim to selectively address the molecular aberrations driving cancer, minimizing adverse effects on normal cells. However, traditional chemotherapy retains its crucial role, offering a broad-spectrum approach that, despite its wider range of side effects, remains indispensable in the treatment of various cancers, often working synergistically with targeted therapies to enhance overall efficacy.For urogenital cancers, especially ovarian and prostate cancers, DNA damage response inhibitors, such as PARP inhibitors, have emerged as promising therapeutic avenues. In BRCA-mutated ovarian cancer, PARP inhibitors like olaparib and niraparib have demonstrated efficacy, leading to their approval for specific indications. Similarly, patients with DNA damage response mutations have shown sensitivity to these agents in prostate cancer, heralding a new frontier in disease management. Furthermore, the progression of ovarian and prostate cancer is intricately linked to hormonal regulation. Ovarian cancer development has also been associated with prolonged exposure to estrogen, while testosterone and its metabolite dihydrotestosterone, can fuel the growth of prostate cancer cells. Thus, understanding the interplay between hormones, DNA damage and repair mechanisms can hold promise for exploring novel targeted therapies for ovarian and prostate tumors.In addition, it is of primary importance the use of preclinical models that mirror as close as possible the biological and genetic features of patients' tumors in order to effectively translate novel therapeutic findings "from the bench to the bedside".In summary, the complex landscape of urogenital cancers underscores the need for innovative approaches. Targeted therapy tailored to DNA repair mechanisms and hormone regulation might offer promising avenues for improving the management and outcomes for patients affected by ovarian and prostate cancers.
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Affiliation(s)
- Giada De Lazzari
- Candiolo Cancer Institute, FPO - IRCCS, Laboratory of Translational Cancer Genetics, Strada Provinciale 142, Km 3.95, Candiolo, TO, ZIP 10060, Italy
| | - Alena Opattova
- Candiolo Cancer Institute, FPO - IRCCS, Laboratory of Translational Cancer Genetics, Strada Provinciale 142, Km 3.95, Candiolo, TO, ZIP 10060, Italy
| | - Sabrina Arena
- Candiolo Cancer Institute, FPO - IRCCS, Laboratory of Translational Cancer Genetics, Strada Provinciale 142, Km 3.95, Candiolo, TO, ZIP 10060, Italy.
- Department of Oncology, University of Torino, Strada Provinciale 142, Km 3.95, Candiolo, TO, ZIP 10060, Italy.
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7
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Stribbling SM, Beach C, Ryan AJ. Orthotopic and metastatic tumour models in preclinical cancer research. Pharmacol Ther 2024; 257:108631. [PMID: 38467308 DOI: 10.1016/j.pharmthera.2024.108631] [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: 08/17/2023] [Revised: 02/27/2024] [Accepted: 03/08/2024] [Indexed: 03/13/2024]
Abstract
Mouse models of disease play a pivotal role at all stages of cancer drug development. Cell-line derived subcutaneous tumour models are predominant in early drug discovery, but there is growing recognition of the importance of the more complex orthotopic and metastatic tumour models for understanding both target biology in the correct tissue context, and the impact of the tumour microenvironment and the immune system in responses to treatment. The aim of this review is to highlight the value that orthotopic and metastatic models bring to the study of tumour biology and drug development while pointing out those models that are most likely to be encountered in the literature. Important developments in orthotopic models, such as the increasing use of early passage patient material (PDXs, organoids) and humanised mouse models are discussed, as these approaches have the potential to increase the predictive value of preclinical studies, and ultimately improve the success rate of anticancer drugs in clinical trials.
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Affiliation(s)
- Stephen M Stribbling
- Department of Chemistry, University College London, Gower Street, London WC1E 6BT, UK.
| | - Callum Beach
- Department of Oncology, University of Oxford, ORCRB, Roosevelt Drive, Oxford OX3 7DQ, UK
| | - Anderson J Ryan
- Department of Oncology, University of Oxford, ORCRB, Roosevelt Drive, Oxford OX3 7DQ, UK; Fast Biopharma, Aston Rowant, Oxfordshire, OX49 5SW, UK.
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8
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Arani RM, Yousefi N, Hamidieh AA, Gholizadeh F, Sisakht MM. Tumor Organoid as a Drug Screening Platform for Cancer Research. Curr Stem Cell Res Ther 2024; 19:1210-1250. [PMID: 37855289 DOI: 10.2174/011574888x268366230922080423] [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: 06/21/2023] [Revised: 08/14/2023] [Accepted: 08/22/2023] [Indexed: 10/20/2023]
Abstract
A number of studies have been conducted on the application of 3D models for drug discovery, drug sensitivity assessment, and drug toxicity. Most of these studies focused on disease modelling and attempted to control cellular differentiation, heterogeneity, and key physiological features to mimic organ reconstitution so that researchers could achieve an accurate response in drug evaluation. Recently, organoids have been used by various scientists due to their highly organotypic structure, which facilitates the translation from basic research to the clinic, especially in cancer research. With this tool, researchers can perform high-throughput analyses of compounds and determine the exact effect on patients based on their genetic variations, as well as develop personalized and combination therapies. Although there is a lack of standardization in organoid culture, patientderived organoids (PDOs) have become widely established and used for drug testing. In this review, we have discussed recent advances in the application of organoids and tumoroids not only in cancer research for drug screening but also in clinical trials to demonstrate the potential of organoids in translational medicine.
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Affiliation(s)
- Reyhaneh Mahbubi Arani
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Niloufar Yousefi
- Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir Ali Hamidieh
- Pediatric Cell and Gene Therapy Research Center, Gene, Cell & Tissue Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Gholizadeh
- Stem Cell and Regenerative Medicine Center of Excellence, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Mollapour Sisakht
- Biotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
- Department of Biochemistry, Erasmus University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
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9
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Wang W, Ling X, Wang R, Xiong H, Hu L, Yang Z, Wang H, Zhang Y, Wu W, Singh PK, Wang J, Li F, Li Q. Structure-Activity Relationship of FL118 Platform Position 7 Versus Position 9-Derived Compounds and Their Mechanism of Action and Antitumor Activity. J Med Chem 2023; 66:16888-16916. [PMID: 38100041 DOI: 10.1021/acs.jmedchem.3c01589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
Structurally, FL118 is a camptothecin analogue and possesses exceptional antitumor efficacy against human cancer through a novel mechanism of action (MOA). In this report, we have synthesized and characterized 24 FL118 Position 7-substituted and 24 FL118 Position 9-substituted derivatives. The top compounds were further characterized for their MOA in colorectal cancer (CRC) models using CRC patient-derived xenograft (PDX) models and pancreatic cancer PDX models to evaluate their antitumor activities. Four FL118 Position 7-substituted derivatives showed significantly better antitumor efficacy than the FL118 Position 9-substituted derivatives. The four identified compounds also appeared to have better antitumor activity than their parental platform FL118. Interestingly, RNA-Seq analyses indicated that three of the four compounds exerted antitumor effects via an MOA similar to FL118, which provided an intriguing opportunity for follow-up studies. Extended in vivo studies revealed that FL77-6 (7-(4-ethylphenyl)-FL118), FL77-9 (7-(4-methoxylphenyl)-FL118), and FL77-24 (7-(3, 5-dimethoxyphenyl)-FL118) exhibit potential for further development toward clinical trials.
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Affiliation(s)
- Wenchao Wang
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Xiang Ling
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
- Canget BioTekpharma, LLC, Buffalo, New York 14203, United States
| | - Ruojiong Wang
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Haonan Xiong
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Liuzhi Hu
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Zhikun Yang
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Hong Wang
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
| | - Yali Zhang
- Department of Bioinformatics & Biostatistics, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States
| | - Wenjie Wu
- Department of Pharmacology & Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States
- Canget BioTekpharma, LLC, Buffalo, New York 14203, United States
| | - Prashant K Singh
- Department of Cancer Genetics & Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States
| | - Jianmin Wang
- Department of Bioinformatics & Biostatistics, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States
| | - Fengzhi Li
- Department of Pharmacology & Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States
- Developmental Therapeutics (DT) Program, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States
| | - QingYong Li
- College of Pharmaceutical Sciences & Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals & Key Laboratory of Marine Fishery Resources Exploitment & Utilization of Zhejiang Province, Zhejiang University of Technology, Hangzhou 310014, China
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Costa A, Gozzellino L, Nannini M, Astolfi A, Pantaleo MA, Pasquinelli G. Preclinical Models of Visceral Sarcomas. Biomolecules 2023; 13:1624. [PMID: 38002306 PMCID: PMC10669128 DOI: 10.3390/biom13111624] [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: 10/02/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 11/26/2023] Open
Abstract
Visceral sarcomas are a rare malignant subgroup of soft tissue sarcomas (STSs). STSs, accounting for 1% of all adult tumors, are derived from mesenchymal tissues and exhibit a wide heterogeneity. Their rarity and the high number of histotypes hinder the understanding of tumor development mechanisms and negatively influence clinical outcomes and treatment approaches. Although some STSs (~20%) have identifiable genetic markers, as specific mutations or translocations, most are characterized by complex genomic profiles. Thus, identification of new therapeutic targets and development of personalized therapies are urgent clinical needs. Although cell lines are useful for preclinical investigations, more reliable preclinical models are required to develop and test new potential therapies. Here, we provide an overview of the available in vitro and in vivo models of visceral sarcomas, whose gene signatures are still not well characterized, to highlight current challenges and provide insights for future studies.
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Affiliation(s)
- Alice Costa
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy;
| | - Livia Gozzellino
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
| | - Margherita Nannini
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
- Division of Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Annalisa Astolfi
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
| | - Maria Abbondanza Pantaleo
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
- Division of Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Gianandrea Pasquinelli
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
- Division of Pathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
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Andersen MS, Kofoed MS, Paludan-Müller AS, Pedersen CB, Mathiesen T, Mawrin C, Wirenfeldt M, Kristensen BW, Olsen BB, Halle B, Poulsen FR. Meningioma animal models: a systematic review and meta-analysis. J Transl Med 2023; 21:764. [PMID: 37898750 PMCID: PMC10612271 DOI: 10.1186/s12967-023-04620-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/11/2023] [Indexed: 10/30/2023] Open
Abstract
BACKGROUND Animal models are widely used to study pathological processes and drug (side) effects in a controlled environment. There is a wide variety of methods available for establishing animal models depending on the research question. Commonly used methods in tumor research include xenografting cells (established/commercially available or primary patient-derived) or whole tumor pieces either orthotopically or heterotopically and the more recent genetically engineered models-each type with their own advantages and disadvantages. The current systematic review aimed to investigate the meningioma model types used, perform a meta-analysis on tumor take rate (TTR), and perform critical appraisal of the included studies. The study also aimed to assess reproducibility, reliability, means of validation and verification of models, alongside pros and cons and uses of the model types. METHODS We searched Medline, Embase, and Web of Science for all in vivo meningioma models. The primary outcome was tumor take rate. Meta-analysis was performed on tumor take rate followed by subgroup analyses on the number of cells and duration of incubation. The validity of the tumor models was assessed qualitatively. We performed critical appraisal of the methodological quality and quality of reporting for all included studies. RESULTS We included 114 unique records (78 using established cell line models (ECLM), 21 using primary patient-derived tumor models (PTM), 10 using genetically engineered models (GEM), and 11 using uncategorized models). TTRs for ECLM were 94% (95% CI 92-96) for orthotopic and 95% (93-96) for heterotopic. PTM showed lower TTRs [orthotopic 53% (33-72) and heterotopic 82% (73-89)] and finally GEM revealed a TTR of 34% (26-43). CONCLUSION This systematic review shows high consistent TTRs in established cell line models and varying TTRs in primary patient-derived models and genetically engineered models. However, we identified several issues regarding the quality of reporting and the methodological approach that reduce the validity, transparency, and reproducibility of studies and suggest a high risk of publication bias. Finally, each tumor model type has specific roles in research based on their advantages (and disadvantages). SYSTEMATIC REVIEW REGISTRATION PROSPERO-ID CRD42022308833.
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Affiliation(s)
- Mikkel Schou Andersen
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark.
- BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark.
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
| | - Mikkel Seremet Kofoed
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
- BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Asger Sand Paludan-Müller
- Nordic Cochrane Centre, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
- Centre for Evidence-Based Medicine Odense (CEBMO) and NHTA: Market Access & Health Economics Consultancy, Copenhagen, Denmark
| | - Christian Bonde Pedersen
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
- BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Tiit Mathiesen
- Department of Neurosurgery, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
| | - Christian Mawrin
- Department of Neuropathology, Otto-Von-Guericke University, Magdeburg, Germany
| | - Martin Wirenfeldt
- Department of Pathology and Molecular Biology, Hospital South West Jutland, Esbjerg, Denmark
- Department of Regional Health Research, University of Southern, Odense, Denmark
| | | | - Birgitte Brinkmann Olsen
- Clinical Physiology and Nuclear Medicine, Odense University Hospital, Odense, Denmark
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Bo Halle
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
- BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Frantz Rom Poulsen
- Department of Neurosurgery, Odense University Hospital, Odense, Denmark
- BRIDGE (Brain Research - Inter Disciplinary Guided Excellence), University of Southern Denmark, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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12
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Rago V, Perri A, Di Agostino S. New Therapeutic Perspectives in Prostate Cancer: Patient-Derived Organoids and Patient-Derived Xenograft Models in Precision Medicine. Biomedicines 2023; 11:2743. [PMID: 37893116 PMCID: PMC10604340 DOI: 10.3390/biomedicines11102743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/06/2023] [Accepted: 10/08/2023] [Indexed: 10/29/2023] Open
Abstract
One of the major goals in the advancement of basic cancer research focuses on the development of new anticancer therapies. To understand the molecular mechanisms of cancer progression, acquired drug resistance, and the metastatic process, the use of preclinical in vitro models that faithfully summarize the properties of the tumor in patients is still a necessity. The tumor is represented by a diverse group of cell clones, and in recent years, to reproduce in vitro preclinical tumor models, monolayer cell cultures have been supplanted by patient-derived xenograft (PDX) models and cultured organoids derived from the patient (PDO). These models have proved indispensable for the study of the tumor microenvironment (TME) and its interaction with tumor cells. Prostate cancer (PCa) is the most common neoplasia in men in the world. It is characterized by genomic instability and resistance to conventional therapies. Despite recent advances in diagnosis and treatment, PCa remains a leading cause of cancer death. Here, we review the studies of the last 10 years as the number of papers is growing very fast in the field. We also discuss the discovered limitations and the new challenges in using the organoid culture system and in using PDXs in studying the prostate cancer phenotype, performing drug testing, and developing anticancer molecular therapies.
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Affiliation(s)
- Vittoria Rago
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy
| | - Anna Perri
- Department of Experimental and Clinical Medicine, Magna Graecia University, 88100 Catanzaro, Italy;
| | - Silvia Di Agostino
- Department of Health Sciences, Magna Græcia University of Catanzaro, 88100 Catanzaro, Italy
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13
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Xu S, Tan S, Guo L. Patient-Derived Organoids as a Promising Tool for Multimodal Management of Sarcomas. Cancers (Basel) 2023; 15:4339. [PMID: 37686615 PMCID: PMC10486520 DOI: 10.3390/cancers15174339] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/17/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
The management of sarcomas, a diverse group of cancers arising from connective tissues, presents significant challenges due to their heterogeneity and limited treatment options. Patient-derived sarcoma organoids (PDSOs) have emerged as a promising tool in the multimodal management of sarcomas, offering unprecedented opportunities for personalized medicine and improved treatment strategies. This review aims to explore the potential of PDSOs as a promising tool for multimodal management of sarcomas. We discuss the establishment and characterization of PDSOs, which realistically recapitulate the complexity and heterogeneity of the original tumor, providing a platform for genetic and molecular fidelity, histological resemblance, and functional characterization. Additionally, we discuss the applications of PDSOs in pathological and genetic evaluation, treatment screening and development, and personalized multimodal management. One significant advancement of PDSOs lies in their ability to guide personalized treatment decisions, enabling clinicians to assess the response and efficacy of different therapies in a patient-specific manner. Through continued research and development, PDSOs hold the potential to revolutionize sarcoma management and drive advancements in personalized medicine, biomarker discovery, preclinical modeling, and therapy optimization. The integration of PDSOs into clinical practice can ultimately improve patient outcomes and significantly impact the field of sarcoma treatment.
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Affiliation(s)
- Songfeng Xu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen 518116, China;
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - ShihJye Tan
- Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Department of Biology, Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, 1088 Xueyuan Blvd, Biology Building 402, Shenzhen 518055, China
| | - Ling Guo
- Department of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
- Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Department of Biology, Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, 1088 Xueyuan Blvd, Biology Building 402, Shenzhen 518055, China
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14
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Zeng M, Ruan Z, Tang J, Liu M, Hu C, Fan P, Dai X. Generation, evolution, interfering factors, applications, and challenges of patient-derived xenograft models in immunodeficient mice. Cancer Cell Int 2023; 23:120. [PMID: 37344821 DOI: 10.1186/s12935-023-02953-3] [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: 03/09/2023] [Accepted: 05/24/2023] [Indexed: 06/23/2023] Open
Abstract
Establishing appropriate preclinical models is essential for cancer research. Evidence suggests that cancer is a highly heterogeneous disease. This follows the growing use of cancer models in cancer research to avoid these differences between xenograft tumor models and patient tumors. In recent years, a patient-derived xenograft (PDX) tumor model has been actively generated and applied, which preserves both cell-cell interactions and the microenvironment of tumors by directly transplanting cancer tissue from tumors into immunodeficient mice. In addition to this, the advent of alternative hosts, such as zebrafish hosts, or in vitro models (organoids and microfluidics), has also facilitated the advancement of cancer research. However, they still have a long way to go before they become reliable models. The development of immunodeficient mice has enabled PDX to become more mature and radiate new vitality. As one of the most reliable and standard preclinical models, the PDX model in immunodeficient mice (PDX-IM) exerts important effects in drug screening, biomarker development, personalized medicine, co-clinical trials, and immunotherapy. Here, we focus on the development procedures and application of PDX-IM in detail, summarize the implications that the evolution of immunodeficient mice has brought to PDX-IM, and cover the key issues in developing PDX-IM in preclinical studies.
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Affiliation(s)
- Mingtang Zeng
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zijing Ruan
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiaxi Tang
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Maozhu Liu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Chengji Hu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ping Fan
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Xinhua Dai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
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15
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Imai T, Yoshida H, Machida Y, Kuramochi M, Ichikawa H, Kubo T, Takahashi M, Kato T. Alteration in molecular properties during establishment and passaging of endometrial carcinoma patient-derived xenografts. Sci Rep 2023; 13:8511. [PMID: 37231035 DOI: 10.1038/s41598-023-35703-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 05/22/2023] [Indexed: 05/27/2023] Open
Abstract
Patient-derived xenograft (PDX) tumor models are known to maintain the genomic and phenotypic profiles, including the histopathological structures, of the parental tumors. On the other hand, unique enrichment of single-nucleotide variants or copy number aberrations has been reported in several types of tumors. However, an understanding of endometrial carcinoma PDXs is limited. The purpose of the present study was to clarify the presence or absence of the molecular properties of endometrial carcinomas in PDXs passaged up to eight times. Established PDXs of endometrioid carcinomas maintained their histopathological characteristics, but those of carcinosarcomas predominantly consisted of sarcomatous components when compared to the parental tumors. Alterations in the proportion of cells with positive/negative immunohistochemical staining for estrogen receptor, PTEN, PAX8, and PAX2 were observed, whereas the proportions of cells with AE1/AE3, TP53, ARID1A, PMS2, and MSH6 staining were unchanged. Variants of cancer-associated genes were compared between PDXs and parental tumors. Mutations in POLE and a frameshift deletion in BRCA1 were observed in the parental tumor tissue in each of the six cases, and additional genomic alterations, which were not apparently related to histopathological and immunohistochemical alterations, were found in the PDXs of these cases. The genomic and phenotypic alterations observed between endometrial carcinoma PDXs and parental tumors were partly associated with endometrial cancer-specific characteristics related to cellular differentiation and gene mutations.
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Affiliation(s)
- Toshio Imai
- Central Animal Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Hiroshi Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Yukino Machida
- Central Animal Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Mizuki Kuramochi
- Central Animal Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Hitoshi Ichikawa
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Takashi Kubo
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Mami Takahashi
- Central Animal Division, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Tomoyasu Kato
- Department of Gynecology, National Cancer Center Hospital, Tokyo, Japan
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16
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Miura K, Koyanagi-Aoi M, Maniwa Y, Aoi T. Chorioallantoic membrane assay revealed the role of TIPARP (2,3,7,8-tetrachlorodibenzo-p-dioxin-inducible poly (ADP-ribose) polymerase) in lung adenocarcinoma-induced angiogenesis. Cancer Cell Int 2023; 23:34. [PMID: 36841751 PMCID: PMC9960622 DOI: 10.1186/s12935-023-02870-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 02/13/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND The chorioallantoic membrane (CAM) assay is a well-established technique to evaluate tumor invasion and angiogenesis and may overcome the shortcoming of the patient-derived xenograft (PDX) mouse model. Currently, few reports have described lung cancer invasion and angiogenesis in the CAM assay. We therefore used the CAM assay in the evaluation of lung cancer. METHOD Lung cancer cell line-derived organoids or lung cancer cell lines were transplanted into the CAM on embryonic development day (EDD) 10, and an analysis was performed on EDD 15. Microscopic and macroscopic images and movies of the grafts on the CAM were captured and analyzed. The relationships between the graft and chick vessels were evaluated using immunohistochemistry. RESULTS We transplanted lung cancer cell lines and cell line-derived organoid into a CAM to investigate angiogenesis and invasion. They engrafted on the CAM at a rate of 50-83%. A549-OKS cells showed enhanced cell invasion and angiogenesis on the CAM in comparison to A549-GFP cells as was reported in vitro. Next, we found that A549-TIPARP cells promoted angiogenesis on the CAM. RNA-seq identified 203 genes that were upregulated more than twofold in comparison to A549-GFP cells. A pathway analysis revealed many upregulated pathways related to degradation and synthesis of the extracellular matrix in A549-TIPARP cells. CONCLUSIONS The CAM assay can be used to evaluate and research invasion and angiogenesis in lung cancer. The elevated expression of TIPARP in lung cancer may induce angiogenesis by remodeling the extracellular matrix.
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Affiliation(s)
- Kenji Miura
- grid.31432.370000 0001 1092 3077Division of Stem Cell Medicine, Graduate School of Medicine, Kobe University, 7-5-1 Kusunoki-cho, Chuo-Ku, Kobe, Hyogo 650-0017 Japan ,grid.31432.370000 0001 1092 3077Division of Advanced Medical Science, Graduate School of Science, Technology and Innovation, Kobe University, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017 Japan ,grid.31432.370000 0001 1092 3077Division of Thoracic Surgery, Graduate School of Medicine, Kobe University, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017 Japan
| | - Michiyo Koyanagi-Aoi
- grid.31432.370000 0001 1092 3077Division of Stem Cell Medicine, Graduate School of Medicine, Kobe University, 7-5-1 Kusunoki-cho, Chuo-Ku, Kobe, Hyogo 650-0017 Japan ,grid.31432.370000 0001 1092 3077Division of Advanced Medical Science, Graduate School of Science, Technology and Innovation, Kobe University, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017 Japan ,grid.411102.70000 0004 0596 6533Center for Human Resource Development for Regenerative Medicine, Kobe University Hospital, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017 Japan
| | - Yoshimasa Maniwa
- grid.31432.370000 0001 1092 3077Division of Thoracic Surgery, Graduate School of Medicine, Kobe University, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo 650-0017 Japan
| | - Takashi Aoi
- Division of Stem Cell Medicine, Graduate School of Medicine, Kobe University, 7-5-1 Kusunoki-cho, Chuo-Ku, Kobe, Hyogo, 650-0017, Japan. .,Division of Advanced Medical Science, Graduate School of Science, Technology and Innovation, Kobe University, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan. .,Center for Human Resource Development for Regenerative Medicine, Kobe University Hospital, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
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17
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Mahmoud AF, Aboumanei MH, Abd-Allah WH, Swidan MM, Sakr TM. New frontier radioiodinated probe based on in silico resveratrol repositioning for microtubules dynamic targeting. Int J Radiat Biol 2023; 99:281-291. [PMID: 35549606 DOI: 10.1080/09553002.2022.2078001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
PURPOSE As the 'de novo' drug discovery faces a highly attrition rates, drug repositioning procures a heighten concern in identifying novel uses for existing medications. This study aimed to fabricate radioiodinated resveratrol as a potent microtubules interfering agent for cancer theragnosis. METHODS Resveratrol was radiolabeled with radioactive iodine where the radioiodination efficiency was enlightened and the computational approaches were employed to investigate the affinity and specificity with tubulins. Furthermore, the in-vivo distribution and pharmacokinetic studies in normal and tumor induced mice were investigated. RESULTS The maximum radioiodination yield (94.6 ± 1.66) was achieved at optimum preparation parameters stated as 100 μg/mL of oxidizing agent, 100 μg/ml of resveratrol, reaction time of 30 min and reaction pH 5. The in silico studies showed that di-iodinated resveratrol (compound 6) exhibited the best binding score (-34.46) and interaction with the β-tubulin binding site. The in vivo distribution in tumor models revealed a significant accumulation (4.02% ID/g) in tumor lesion at 60 min p.i. The rate of drug elimination demonstrated a mono-exponential decline of radioactivity versus time in the blood. CONCLUSION Radioiodinated resveratrol revealed good microtubules targeting which render it as a novel theranostic probe for cancer management.
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Affiliation(s)
- Ashgan F Mahmoud
- Labeled Compounds Department, Hot Labs Center, Egyptian Atomic Energy Authority, Cairo, Egypt
| | - Mohamed H Aboumanei
- Labeled Compounds Department, Hot Labs Center, Egyptian Atomic Energy Authority, Cairo, Egypt
| | - Walaa Hamada Abd-Allah
- Pharmaceutical Chemistry Department, College of Pharmaceutical Science and Drug Manufacturing, Misr University for Science and Technology, Giza, Egypt
| | - Mohamed M Swidan
- Labeled Compounds Department, Hot Labs Center, Egyptian Atomic Energy Authority, Cairo, Egypt.,Radioisotopes Production Facility, Second Egyptian Research Reactor Complex, Egyptian Atomic Energy Authority, Cairo, Egypt
| | - Tamer M Sakr
- Radioisotopes Production Facility, Second Egyptian Research Reactor Complex, Egyptian Atomic Energy Authority, Cairo, Egypt.,Radioactive Isotopes and Generator Department, Hot Labs Center, Egyptian Atomic Energy Authority, Cairo, Egypt
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18
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Liu W, Cui Y, Zheng X, Yu K, Sun G. Application status and future prospects of the PDX model in lung cancer. Front Oncol 2023; 13:1098581. [PMID: 37035154 PMCID: PMC10080030 DOI: 10.3389/fonc.2023.1098581] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
Lung cancer is one of the most prevalent, fatal, and highly heterogeneous diseases that, seriously threaten human health. Lung cancer is primarily caused by the aberrant expression of multiple genes in the cells. Lung cancer treatment options include surgery, radiation, chemotherapy, targeted therapy, and immunotherapy. In recent decades, significant progress has been made in developing therapeutic agents for lung cancer as well as a biomarker for its early diagnosis. Nonetheless, the alternative applications of traditional pre-clinical models (cell line models) for diagnosis and prognosis prediction are constrained by several factors, including the lack of microenvironment components necessary to affect cancer biology and drug response, and the differences between laboratory and clinical results. The leading reason is that substantial shifts accrued to cell biological behaviors, such as cell proliferative, metastatic, invasive, and gene expression capabilities of different cancer cells after decades of growing indefinitely in vitro. Moreover, the introduction of individualized treatment has prompted the development of appropriate experimental models. In recent years, preclinical research on lung cancer has primarily relied on the patient-derived tumor xenograft (PDX) model. The PDX provides stable models with recapitulate characteristics of the parental tumor such as the histopathology and genetic blueprint. Additionally, PDXs offer valuable models for efficacy screening of new cancer drugs, thus, advancing the understanding of tumor biology. Concurrently, with the heightened interest in the PDX models, potential shortcomings have gradually emerged. This review summarizes the significant advantages of PDXs over the previous models, their benefits, potential future uses and interrogating open issues.
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Tan D, An J, Gong M, Wang H, Li H, Meng H, Zhang C, Zhao Y, Ge X, Shi C. Screening of an individualized treatment strategy for an advanced gallbladder cancer using patient-derived tumor xenograft and organoid models. Front Oncol 2022; 12:1043479. [PMID: 36591461 PMCID: PMC9795198 DOI: 10.3389/fonc.2022.1043479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
Gallbladder cancer is a highly aggressive malignancy with poor sensitivity to postoperative radiotherapy or chemotherapy; therefore, the development of individualized treatment strategies is paramount to improve patient outcomes. Both patient-derived tumor xenograft (PDX) and patient-derived tumor organoid (PDO) models derived from surgical specimens can better preserve the biological characteristics and heterogeneity of individual original tumors, display a unique advantage for individualized therapy and predicting clinical outcomes. In this study, PDX and PDO models of advanced gallbladder cancer were established, and the consistency of biological characteristics between them and primary patient samples was confirmed using pathological analysis and RNA-sequencing. Additionally, we tested the efficacy of chemotherapeutic drugs, targeted drugs, and immune checkpoint inhibitors using these two models. The results demonstrated that gemcitabine combined with cisplatin induced significant therapeutic effects. Furthermore, treatment with immune checkpoint inhibitors elicited promising responses in both the humanized mice and PDO immune models. Based on these results, gemcitabine combined with cisplatin was used for basic treatment, and immune checkpoint inhibitors were applied as a complementary intervention for gallbladder cancer. The patient responded well to treatment and exhibited a clearance of tumor foci. Our findings indicate that the combined use of PDO and PDX models can guide the clinical treatment course for gallbladder cancer patients to achieve individualized and effective treatment.
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Affiliation(s)
- Dengxu Tan
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi’an, Shaanxi, China,Gansu Provincial Laboratory Animal Industry Technology Center, Gansu University of Chinese medicine, Lanzhou, Gansu, China
| | - Jiaze An
- Department of Hepatobiliary and Pancreaticosplenic Surgery, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Miaomiao Gong
- School of Basic Medical Sciences, Medical College of Yan’an University, Yan’an, China
| | - Huihui Wang
- Gansu Provincial Laboratory Animal Industry Technology Center, Gansu University of Chinese medicine, Lanzhou, Gansu, China
| | - Han Li
- Group 4, School of Basic Medicine, Air Force Military Medical University, Xi’an, Shaanxi, China
| | - Han Meng
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Caiqin Zhang
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Yong Zhao
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Xu Ge
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi’an, Shaanxi, China,*Correspondence: Changhong Shi, ; Xu Ge,
| | - Changhong Shi
- Division of Cancer Biology, Laboratory Animal Center, Fourth Military Medical University, Xi’an, Shaanxi, China,*Correspondence: Changhong Shi, ; Xu Ge,
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20
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Dinami R, Pompili L, Petti E, Porru M, D'Angelo C, Di Vito S, Rizzo A, Campani V, De Rosa G, Bruna A, Serra V, Mano M, Giacca M, Leonetti C, Ciliberto G, Tarsounas M, Stoppacciaro A, Schoeftner S, Biroccio A. MiR-182-3p targets TRF2 and impairs tumor growth of triple-negative breast cancer. EMBO Mol Med 2022; 15:e16033. [PMID: 36426578 PMCID: PMC9832842 DOI: 10.15252/emmm.202216033] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 10/29/2022] [Accepted: 11/05/2022] [Indexed: 11/27/2022] Open
Abstract
The telomeric repeat-binding factor 2 (TRF2) is a telomere-capping protein that plays a key role in the maintenance of telomere structure and function. It is highly expressed in different cancer types, and it contributes to cancer progression. To date, anti-cancer strategies to target TRF2 remain a challenge. Here, we developed a miRNA-based approach to reduce TRF2 expression. By performing a high-throughput luciferase screening of 54 candidate miRNAs, we identified miR-182-3p as a specific and efficient post-transcriptional regulator of TRF2. Ectopic expression of miR-182-3p drastically reduced TRF2 protein levels in a panel of telomerase- or alternative lengthening of telomeres (ALT)-positive cancer cell lines. Moreover, miR-182-3p induced DNA damage at telomeric and pericentromeric sites, eventually leading to strong apoptosis activation. We also observed that treatment with lipid nanoparticles (LNPs) containing miR-182-3p impaired tumor growth in triple-negative breast cancer (TNBC) models, including patient-derived tumor xenografts (PDTXs), without affecting mouse survival or tissue function. Finally, LNPs-miR-182-3p were able to cross the blood-brain barrier and reduce intracranial tumors representing a possible therapeutic option for metastatic brain lesions.
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Affiliation(s)
- Roberto Dinami
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Luca Pompili
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Eleonora Petti
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Manuela Porru
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Carmen D'Angelo
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Serena Di Vito
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly,Department of Ecological and Biological Sciences (DEB)University of TusciaViterboItaly
| | - Angela Rizzo
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Virginia Campani
- Department of PharmacyUniversity Federico II of NaplesNaplesItaly
| | - Giuseppe De Rosa
- Department of PharmacyUniversity Federico II of NaplesNaplesItaly
| | | | | | - Miguel Mano
- Functional Genomics and RNA‐based Therapeutics Laboratory, Center for Neuroscience and Cell Biology (CNC)University of CoimbraCoimbraPortugal,Department of Life SciencesUniversity of CoimbraCoimbraPortugal,King's College London, British Heart Foundation Centre of Research ExcellenceSchool of Cardiovascular Medicine & SciencesLondonUK
| | - Mauro Giacca
- King's College London, British Heart Foundation Centre of Research ExcellenceSchool of Cardiovascular Medicine & SciencesLondonUK
| | - Carlo Leonetti
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
| | - Gennaro Ciliberto
- Scientific DirectionIRCCS‐Regina Elena National Cancer InstituteRomeItaly
| | - Madalena Tarsounas
- Department of Oncology, Genome Stability and Tumourigenesis Group, MRC Oxford Institute for Radiation OncologyUniversity of OxfordOxfordUK
| | - Antonella Stoppacciaro
- Department of Clinical and Molecular Medicine, St. Andrea HospitalSapienza University of RomeRomeItaly
| | | | - Annamaria Biroccio
- Translational Oncology Research UnitIRCCS—Regina Elena National Cancer InstituteRomeItaly
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21
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Kanemaru A, Shinriki S, Kai M, Tsurekawa K, Ozeki K, Uchino S, Suenaga N, Yonemaru K, Miyake S, Masuda T, Kariya R, Okada S, Takeshita H, Seki Y, Yano H, Komohara Y, Yoshida R, Nakayama H, Li JD, Saito H, Jono H. Potential use of EGFR-targeted molecular therapies for tumor suppressor CYLD-negative and poor prognosis oral squamous cell carcinoma with chemoresistance. Cancer Cell Int 2022; 22:358. [PMID: 36376983 PMCID: PMC9664721 DOI: 10.1186/s12935-022-02781-x] [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: 08/10/2022] [Accepted: 11/04/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Tumor suppressor CYLD dysfunction by loss of its expression, triggers malignant transformation, especially drug resistance and tumor invasion/metastasis. Although loss of CYLD expression is significantly associated with poor prognosis in a large variety of tumors, no clinically-effective treatment for CYLD-negative cancer patients is available. METHODS We focused on oral squamous cell carcinoma (OSCC), and sought to develop novel therapeutic agents for CYLD-negative cancer patients with poor prognosis. CYLD-knockdown OSCC cells by using CYLD-specific siRNA, were used to elucidate and determine the efficacy of novel drug candidates by evaluating cell viability and epithelial-mesenchymal transition (EMT)-like change. Therapeutic effects of candidate drug on cell line-derived xenograft (CDX) model and usefulness of CYLD as a novel biomarker using patient-derived xenograft (PDX) model were further investigated. RESULTS CYLD-knockdown OSCC cells were resistant for all currently-available cytotoxic chemotherapeutic agents for OSCC, such as, cisplatin, 5-FU, carboplatin, docetaxel, and paclitaxel. By using comprehensive proteome analysis approach, we identified epidermal growth factor receptor (EGFR), a receptor tyrosine kinase, played key roles in CYLD-knockdown OSCC cells. Indeed, cell survival rate in the cisplatin-resistant CYLD-knockdown OSCC cells was markedly inhibited by treatment with clinically available EGFR tyrosine kinase inhibitors (EGFR-TKIs), such as gefitinib. In addition, gefitinib was significantly effective for not only cell survival, but also EMT-like changes through inhibiting transforming growth factor-β (TGF-β) signaling in CYLD-knockdown OSCC cells. Thereby, overall survival of CYLD-knockdown CDX models was significantly prolonged by gefitinib treatment. Moreover, we found that CYLD expression was significantly associated with gefitinib response by using PDX models. CONCLUSIONS Our results first revealed that EGFR-targeted molecular therapies, such as EGFR-TKIs, could have potential to be novel therapeutic agents for the CYLD-negative OSCC patients with poor prognosis.
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Affiliation(s)
- Ayumi Kanemaru
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Satoru Shinriki
- Department of Molecular Laboratory Medicine, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Mimi Kai
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Kanae Tsurekawa
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Kazuya Ozeki
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Shota Uchino
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Naoki Suenaga
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Kou Yonemaru
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
| | - Shunsuke Miyake
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
- Department of Pharmacy, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Takeshi Masuda
- Department of Pharmaceutical Microbiology, Faculty of Life Sciences, Kumamoto University, 5-1 Oe honmachi, Chuo-Ku, Kumamoto, 862-0973, Japan
| | - Ryusho Kariya
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, 860-0811, Japan
| | - Seiji Okada
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, 860-0811, Japan
| | - Hisashi Takeshita
- Department of Oral & Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Yuki Seki
- Department of Oral & Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Hiromu Yano
- Department of Cell Pathology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Yoshihiro Komohara
- Department of Cell Pathology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Ryoji Yoshida
- Department of Oral & Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Hideki Nakayama
- Department of Oral & Maxillofacial Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Jian-Dong Li
- Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State University, Atlanta, GA, 30303, USA
| | - Hideyuki Saito
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan
- Department of Pharmacy, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan
| | - Hirofumi Jono
- Department of Clinical Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kumamoto University, 2-2-1 Honjo, Chuo-Ku, Kumamoto, 860-0811, Japan.
- Department of Pharmacy, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-Ku, Kumamoto, 860-8556, Japan.
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22
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Ali AA, Abuwatfa WH, Al-Sayah MH, Husseini GA. Gold-Nanoparticle Hybrid Nanostructures for Multimodal Cancer Therapy. NANOMATERIALS (BASEL, SWITZERLAND) 2022; 12:nano12203706. [PMID: 36296896 PMCID: PMC9608376 DOI: 10.3390/nano12203706] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/12/2022] [Accepted: 10/18/2022] [Indexed: 06/01/2023]
Abstract
With the urgent need for bio-nanomaterials to improve the currently available cancer treatments, gold nanoparticle (GNP) hybrid nanostructures are rapidly rising as promising multimodal candidates for cancer therapy. Gold nanoparticles (GNPs) have been hybridized with several nanocarriers, including liposomes and polymers, to achieve chemotherapy, photothermal therapy, radiotherapy, and imaging using a single composite. The GNP nanohybrids used for targeted chemotherapy can be designed to respond to external stimuli such as heat or internal stimuli such as intratumoral pH. Despite their promise for multimodal cancer therapy, there are currently no reviews summarizing the current status of GNP nanohybrid use for cancer theragnostics. Therefore, this review fulfills this gap in the literature by providing a critical analysis of the data available on the use of GNP nanohybrids for cancer treatment with a specific focus on synergistic approaches (i.e., triggered drug release, photothermal therapy, and radiotherapy). It also highlights some of the challenges that hinder the clinical translation of GNP hybrid nanostructures from bench to bedside. Future studies that could expedite the clinical progress of GNPs, as well as the future possibility of improving GNP nanohybrids for cancer theragnostics, are also summarized.
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Affiliation(s)
- Amaal Abdulraqeb Ali
- Biomedical Engineering Graduate Program, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
| | - Waad H. Abuwatfa
- Department of Chemical Engineering, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
- Materials Science and Engineering Program, College of Arts and Sciences, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
| | - Mohammad H. Al-Sayah
- Materials Science and Engineering Program, College of Arts and Sciences, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
- Department of Biology, Chemistry and Environmental Sciences, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
| | - Ghaleb A. Husseini
- Department of Chemical Engineering, College of Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
- Materials Science and Engineering Program, College of Arts and Sciences, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates
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23
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Jeon S, Jun E, Chang H, Yhee JY, Koh EY, Kim Y, Jung JY, Jeong EJ, Lee JW, Shim MK, Yoon HY, Chang S, Kim K, Kim SC. Prediction the clinical EPR effect of nanoparticles in patient-derived xenograft models. J Control Release 2022; 351:37-49. [PMID: 36089170 DOI: 10.1016/j.jconrel.2022.09.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 08/17/2022] [Accepted: 09/05/2022] [Indexed: 11/15/2022]
Abstract
Many preclinically tested nanoparticles in existing animal models fail to be directly translated into clinical applications because of their poor resemblance to human cancer. Herein, the enhanced permeation and retention (EPR) effect of glycol chitosan nanoparticles (CNPs) in different tumor microenvironments (TMEs) was compared using different pancreatic tumor models, including pancreatic cancer cell line (BxPC3), patient-derived cancer cell (PDC), and patient-derived xenograft (PDX) models. CNPs were intravenously injected into different tumor models, and their accumulation efficiency was evaluated using non-invasive near-infrared fluorescence (NIRF) imaging. In particular, differences in angiogenic vessel density, collagen matrix, and hyaluronic acid content in tumor tissues of the BxPC3, PDC, and PDX models greatly affected the tumor-targeting efficiency of CNPs. In addition, different PDX models were established using different tumor tissues of patients to predict the clinical EPR effect of CNPs in inter-patient TMEs, wherein the gene expression levels of PECAM1, COL4A1, and HAS1 in human tumor tissues were observed to be closely related to the EPR effect of CNPs in PDX models. The results suggested that the PDX models could mimic inter-patient TMEs with different blood vessel structures and extracellular matrix (ECM) content that critically affect the tumor-targeting ability of CNPs in different pancreatic PDX models. This study provides a better understanding of the heterogeneity and complexity of inter-patient TMEs that can predict the response of various nanoparticles in individual tumors for personalized cancer therapy.
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Affiliation(s)
- Sangmin Jeon
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
| | - Eunsung Jun
- Department of Convergence Medicine, Asan Institute for Life Sciences, University of Ulsan College of Medicine and Asan Medical Center, Seoul 05505, Republic of Korea; Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Asan Medical Center, AMIST, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Hyeyoun Chang
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
| | - Ji Young Yhee
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea; Green Vet, 131-1 Ihyeon-ro 30beon-gil, Giheung-gu, Yongin-si, Gyeonggi-do 16924, Republic of Korea
| | - Eun-Young Koh
- Department of Convergence Medicine, Asan Institute for Life Sciences, University of Ulsan College of Medicine and Asan Medical Center, Seoul 05505, Republic of Korea
| | - Yeounhee Kim
- Department of Convergence Medicine, Asan Institute for Life Sciences, University of Ulsan College of Medicine and Asan Medical Center, Seoul 05505, Republic of Korea
| | - Jae Yun Jung
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, South Korea
| | - Eun Ji Jeong
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, South Korea
| | - Jong Won Lee
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, 1 Anam-dong, Seongbuk-gu, Seoul 136-701, Republic of Korea
| | - Man Kyu Shim
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
| | - Hong Yeol Yoon
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea
| | - Suhwan Chang
- Department of Biomedical Sciences, University of Ulsan College of Medicine, Seoul 05505, South Korea.
| | - Kwangmeyung Kim
- Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil, Seongbuk-gu, Seoul 02792, Republic of Korea; KU-KIST Graduate School of Converging Science and Technology, Korea University, 1 Anam-dong, Seongbuk-gu, Seoul 136-701, Republic of Korea; College of Pharmacy, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Republic of Korea.
| | - Song Cheol Kim
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Asan Medical Center, AMIST, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
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24
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Ong LJY, Chia S, Wong SQR, Zhang X, Chua H, Loo JM, Chua WY, Chua C, Tan E, Hentze H, Tan IB, DasGupta R, Toh YC. A comparative study of tumour-on-chip models with patient-derived xenografts for predicting chemotherapy efficacy in colorectal cancer patients. Front Bioeng Biotechnol 2022; 10:952726. [PMID: 36147524 PMCID: PMC9488115 DOI: 10.3389/fbioe.2022.952726] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/19/2022] [Indexed: 11/24/2022] Open
Abstract
Inter-patient and intra-tumour heterogeneity (ITH) have prompted the need for a more personalised approach to cancer therapy. Although patient-derived xenograft (PDX) models can generate drug response specific to patients, they are not sustainable in terms of cost and time and have limited scalability. Tumour Organ-on-Chip (OoC) models are in vitro alternatives that can recapitulate some aspects of the 3D tumour microenvironment and can be scaled up for drug screening. While many tumour OoC systems have been developed to date, there have been limited validation studies to ascertain whether drug responses obtained from tumour OoCs are comparable to those predicted from patient-derived xenograft (PDX) models. In this study, we established a multiplexed tumour OoC device, that consists of an 8 × 4 array (32-plex) of culture chamber coupled to a concentration gradient generator. The device enabled perfusion culture of primary PDX-derived tumour spheroids to obtain dose-dependent response of 5 distinct standard-of-care (SOC) chemotherapeutic drugs for 3 colorectal cancer (CRC) patients. The in vitro efficacies of the chemotherapeutic drugs were rank-ordered for individual patients and compared to the in vivo efficacy obtained from matched PDX models. We show that quantitative correlation analysis between the drug efficacies predicted via the microfluidic perfusion culture is predictive of response in animal PDX models. This is a first study showing a comparative framework to quantitatively correlate the drug response predictions made by a microfluidic tumour organ-on-chip (OoC) model with that of PDX animal models.
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Affiliation(s)
- Louis Jun Ye Ong
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QL, Australia
- Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QL, Australia
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
| | - Shumei Chia
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Stephen Qi Rong Wong
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
- Biological Resource Centre, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Samuel Oschin Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA, United States
| | - Xiaoqian Zhang
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Huiwen Chua
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Jia Min Loo
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Wei Yong Chua
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
| | - Clarinda Chua
- National Cancer Centre Singapore, Singapore, Singapore
| | - Emile Tan
- Singapore General Hospital, Singapore, Singapore
| | - Hannes Hentze
- Experimental, Drug Development Centre, A*STAR, Singapore, Singapore
| | - Iain Beehuat Tan
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
- National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Ramanuj DasGupta
- Laboratory of Precision Oncology and Cancer Evolution, Genome Institute of Singapore, A*STAR, Singapore, Singapore
- *Correspondence: Ramanuj DasGupta, ; Yi-Chin Toh,
| | - Yi-Chin Toh
- School of Mechanical, Medical and Process Engineering, Queensland University of Technology (QUT), Brisbane, QL, Australia
- Centre for Biomedical Technologies, Queensland University of Technology (QUT), Brisbane, QL, Australia
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore, Singapore
- *Correspondence: Ramanuj DasGupta, ; Yi-Chin Toh,
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25
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Meister MT, Groot Koerkamp MJA, de Souza T, Breunis WB, Frazer‐Mendelewska E, Brok M, DeMartino J, Manders F, Calandrini C, Kerstens HHD, Janse A, Dolman MEM, Eising S, Langenberg KPS, van Tuil M, Knops RRG, van Scheltinga ST, Hiemcke‐Jiwa LS, Flucke U, Merks JHM, van Noesel MM, Tops BBJ, Hehir‐Kwa JY, Kemmeren P, Molenaar JJ, van de Wetering M, van Boxtel R, Drost J, Holstege FCP. Mesenchymal tumor organoid models recapitulate rhabdomyosarcoma subtypes. EMBO Mol Med 2022; 14:e16001. [PMID: 35916583 PMCID: PMC9549731 DOI: 10.15252/emmm.202216001] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/11/2022] [Accepted: 07/12/2022] [Indexed: 02/05/2023] Open
Abstract
Rhabdomyosarcomas (RMS) are mesenchyme-derived tumors and the most common childhood soft tissue sarcomas. Treatment is intense, with a nevertheless poor prognosis for high-risk patients. Discovery of new therapies would benefit from additional preclinical models. Here, we describe the generation of a collection of 19 pediatric RMS tumor organoid (tumoroid) models (success rate of 41%) comprising all major subtypes. For aggressive tumors, tumoroid models can often be established within 4-8 weeks, indicating the feasibility of personalized drug screening. Molecular, genetic, and histological characterization show that the models closely resemble the original tumors, with genetic stability over extended culture periods of up to 6 months. Importantly, drug screening reflects established sensitivities and the models can be modified by CRISPR/Cas9 with TP53 knockout in an embryonal RMS model resulting in replicative stress drug sensitivity. Tumors of mesenchymal origin can therefore be used to generate organoid models, relevant for a variety of preclinical and clinical research questions.
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Affiliation(s)
- Michael T Meister
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Marian J A Groot Koerkamp
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Terezinha de Souza
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Willemijn B Breunis
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Department of Oncology and Children's Research CenterUniversity Children's Hospital ZürichZürichSwitzerland
| | - Ewa Frazer‐Mendelewska
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Mariël Brok
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Jeff DeMartino
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Freek Manders
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Camilla Calandrini
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | | | - Alex Janse
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | - M Emmy M Dolman
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Children's Cancer Institute, Lowy Cancer CentreUNSW SydneyKensingtonNSWAustralia,School of Women's and Children's Health, Faculty of MedicineUNSW SydneyKensingtonNSWAustralia
| | - Selma Eising
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | | | - Marc van Tuil
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | - Rutger R G Knops
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | | | | | - Uta Flucke
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | | | - Max M van Noesel
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | | | | | - Patrick Kemmeren
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Center for Molecular MedicineUMC Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Jan J Molenaar
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands
| | - Marc van de Wetering
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Ruben van Boxtel
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Jarno Drost
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Oncode InstituteUtrechtThe Netherlands
| | - Frank C P Holstege
- Princess Máxima Center for Pediatric OncologyUtrechtThe Netherlands,Center for Molecular MedicineUMC Utrecht and Utrecht UniversityUtrechtThe Netherlands
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26
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Carra S, Gaudenzi G, Dicitore A, Cantone MC, Plebani A, Saronni D, Zappavigna S, Caraglia M, Candeo A, Bassi A, Persani L, Vitale G. Modeling Lung Carcinoids with Zebrafish Tumor Xenograft. Int J Mol Sci 2022; 23:8126. [PMID: 35897702 PMCID: PMC9330857 DOI: 10.3390/ijms23158126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 02/01/2023] Open
Abstract
Lung carcinoids are neuroendocrine tumors that comprise well-differentiated typical (TCs) and atypical carcinoids (ACs). Preclinical models are indispensable for cancer drug screening since current therapies for advanced carcinoids are not curative. We aimed to develop a novel in vivo model of lung carcinoids based on the xenograft of lung TC (NCI-H835, UMC-11, and NCI-H727) and AC (NCI-H720) cell lines and patient-derived cell cultures in Tg(fli1a:EGFP)y1 zebrafish embryos. We exploited this platform to test the anti-tumor activity of sulfatinib. The tumorigenic potential of TC and AC implanted cells was evaluated by the quantification of tumor-induced angiogenesis and tumor cell migration as early as 24 h post-injection (hpi). The characterization of tumor-induced angiogenesis was performed in vivo and in real time, coupling the tumor xenograft with selective plane illumination microscopy on implanted zebrafish embryos. TC-implanted cells displayed a higher pro-angiogenic potential compared to AC cells, which inversely showed a relevant migratory behavior within 48 hpi. Sulfatinib inhibited tumor-induced angiogenesis, without affecting tumor cell spread in both TC and AC implanted embryos. In conclusion, zebrafish embryos implanted with TC and AC cells faithfully recapitulate the tumor behavior of human lung carcinoids and appear to be a promising platform for drug screening.
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Affiliation(s)
- Silvia Carra
- Laboratory of Endocrine and Metabolic Research, IRCCS, Istituto Auxologico Italiano, 20100 Milan, Italy; (S.C.); (L.P.)
| | - Germano Gaudenzi
- Laboratory of Geriatric and Oncologic Neuroendocrinology Research, IRCCS, Istituto Auxologico Italiano, 20100 Milan, Italy; (G.G.); (M.C.C.); (A.P.)
| | - Alessandra Dicitore
- Department of Medical Biotechnology and Translational Medicine, University of Milan, 20100 Milan, Italy; (A.D.); (D.S.)
| | - Maria Celeste Cantone
- Laboratory of Geriatric and Oncologic Neuroendocrinology Research, IRCCS, Istituto Auxologico Italiano, 20100 Milan, Italy; (G.G.); (M.C.C.); (A.P.)
| | - Alice Plebani
- Laboratory of Geriatric and Oncologic Neuroendocrinology Research, IRCCS, Istituto Auxologico Italiano, 20100 Milan, Italy; (G.G.); (M.C.C.); (A.P.)
| | - Davide Saronni
- Department of Medical Biotechnology and Translational Medicine, University of Milan, 20100 Milan, Italy; (A.D.); (D.S.)
- PhD Program in Experimental Medicine, University of Milan, 20100 Milan, Italy
| | - Silvia Zappavigna
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (S.Z.); (M.C.)
| | - Michele Caraglia
- Department of Precision Medicine, University of Campania “L. Vanvitelli”, 80138 Naples, Italy; (S.Z.); (M.C.)
- Laboratory of Molecular and Precision Oncology, Biogem scarl, 83031 Ariano Irpino, Italy
| | - Alessia Candeo
- Department of Physics, Politecnico di Milano, 20133 Milan, Italy; (A.C.); (A.B.)
| | - Andrea Bassi
- Department of Physics, Politecnico di Milano, 20133 Milan, Italy; (A.C.); (A.B.)
| | - Luca Persani
- Laboratory of Endocrine and Metabolic Research, IRCCS, Istituto Auxologico Italiano, 20100 Milan, Italy; (S.C.); (L.P.)
- Department of Medical Biotechnology and Translational Medicine, University of Milan, 20100 Milan, Italy; (A.D.); (D.S.)
| | - Giovanni Vitale
- Laboratory of Geriatric and Oncologic Neuroendocrinology Research, IRCCS, Istituto Auxologico Italiano, 20100 Milan, Italy; (G.G.); (M.C.C.); (A.P.)
- Department of Medical Biotechnology and Translational Medicine, University of Milan, 20100 Milan, Italy; (A.D.); (D.S.)
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Parekh A, Das S, Das CK, Mandal M. Progressing Towards a Human-Centric Approach in Cancer Research. Front Oncol 2022; 12:896633. [PMID: 35928861 PMCID: PMC9343698 DOI: 10.3389/fonc.2022.896633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/21/2022] [Indexed: 11/17/2022] Open
Abstract
Despite the advancement in research methodologies and technologies for cancer research, there is a high rate of anti-cancer drug attrition. In this review, we discuss different conventional and modern approaches in cancer research and how human-centric models can improve on the voids conferred by more traditional animal-centric models, thereby offering a more reliable platform for drug discovery. Advanced three-dimensional cell culture methodologies, along with in silico computational analysis form the core of human-centric cancer research. This can provide a holistic understanding of the research problems and help design specific and accurate experiments that could lead to the development of better cancer therapeutics. Here, we propose a new human-centric research roadmap that promises to provide a better platform for cancer research and drug discovery.
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Affiliation(s)
- Aditya Parekh
- School of Design, Anant National University, Ahmedabad, India
- Genetics and Development, National Centre For Biological Sciences, Bengaluru, India
- *Correspondence: Aditya Parekh,
| | - Subhayan Das
- School of Medical Science and Technology (SMST), Indian Institute of Technology, Kharagpur, India
| | - Chandan K. Das
- Cancer Biology, University of Pennsylvania, Philadelphia, PA, United States
| | - Mahitosh Mandal
- School of Medical Science and Technology (SMST), Indian Institute of Technology, Kharagpur, India
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28
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Monzavi SM, Muhammadnejad A, Behfar M, Khorsand AA, Muhammadnejad S, Kajbafzadeh AM. Spontaneous xenogeneic GvHD in Wilms' tumor Patient-Derived xenograft models and potential solutions. Animal Model Exp Med 2022; 5:389-396. [PMID: 35726155 PMCID: PMC9434572 DOI: 10.1002/ame2.12254] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 04/15/2022] [Indexed: 11/07/2022] Open
Abstract
Severely immunocompromised NOD.Cg-Prkdcscid Il2rgtm1Sug (NOG) mice are among the ideal animal recipients for generation of human cancer models. Transplantation of human solid tumors having abundant tumor-infiltrating lymphocytes (TILs) can induce xenogeneic graft-versus-host disease (xGvHD) following engraftment and expansion of the TILs inside the animal body. Wilms' tumor (WT) has not been recognized as a lymphocyte-predominant tumor. However, 3 consecutive generations of NOG mice bearing WT patient-derived xenografts (PDX) xenotransplanted from a single donor showed different degrees of inflammatory symptoms after transplantation before any therapeutic intervention. In the initial generation, dermatitis, auto-amputation of digits, weight loss, lymphadenopathy, hepatitis, and interstitial pneumonitis were observed. Despite antibiotic treatment, no response was noticed, and thus the animals were prematurely euthanized (day 47 posttransplantation). Laboratory and histopathologic evaluations revealed lymphoid infiltrates positively immunostained with anti-human CD3 and CD8 antibodies in the xenografts and primary tumor, whereas no microbial infection or lymphoproliferative disorder was found. Mice of the next generation that lived longer (91 days) developed sclerotic skin changes and more severe pneumonitis. Cutaneous symptoms were milder in the last generation. The xenografts of the last 2 generations also contained TILs, and lacked lymphoproliferative transformation. The systemic immunoinflammatory syndrome in the absence of microbial infection and posttransplant lymphoproliferative disorder was suggestive of xGvHD. While there are few reports of xGvHD in severely immunodeficient mice xenotransplanted from lymphodominant tumor xenografts, this report for the first time documented serial xGvHD in consecutive passages of WT PDX-bearing models and discussed potential solutions to prevent such an undesired complication.
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Affiliation(s)
- Seyed Mostafa Monzavi
- Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Pediatric Urology and Regenerative Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran.,Gene Therapy Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahad Muhammadnejad
- Cancer Biology Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.,PDX Platform, Biomarker Evaluation and Supervision Team for Personalized Medicine, Molecular Tumor Board, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Behfar
- Pediatric Cell and Gene Therapy Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Arsalan Khorsand
- Gene Therapy Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.,PDX Platform, Biomarker Evaluation and Supervision Team for Personalized Medicine, Molecular Tumor Board, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
| | - Samad Muhammadnejad
- Gene Therapy Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.,PDX Platform, Biomarker Evaluation and Supervision Team for Personalized Medicine, Molecular Tumor Board, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.,Pediatric Cell and Gene Therapy Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdol-Mohammad Kajbafzadeh
- Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Pediatric Urology and Regenerative Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran.,PDX Platform, Biomarker Evaluation and Supervision Team for Personalized Medicine, Molecular Tumor Board, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
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29
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Qin L, Wang L, Zhang J, Zhou H, Yang Z, Wang Y, Cai W, Wen F, Jiang X, Zhang T, Ye H, Long B, Qin J, Shi W, Guan X, Yu Z, Yang J, Wang Q, Jiao Z. Therapeutic strategies targeting uPAR potentiate anti-PD-1 efficacy in diffuse-type gastric cancer. SCIENCE ADVANCES 2022; 8:eabn3774. [PMID: 35613265 PMCID: PMC9132454 DOI: 10.1126/sciadv.abn3774] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The diffuse-type gastric cancer (DGC) is a subtype of gastric cancer (GC) associated with low HER2 positivity rate and insensitivity to chemotherapy and immune checkpoint inhibitors. Here, we identify urokinase-type plasminogen activator receptor (uPAR) as a potential therapeutic target for DGC. We have developed a novel anti-uPAR monoclonal antibody, which targets the domains II and III of uPAR and blocks the binding of urokinase-type plasminogen activator to uPAR. We show that the combination of anti-uPAR and anti-Programmed cell death protein 1 (PD-1) remarkably inhibits tumor growth and prolongs survival via multiple mechanisms, using cell line-derived xenograft and patient-derived xenograft mouse models. Furthermore, uPAR chimeric antigen receptor-expressing T cells based on the novel anti-uPAR effectively kill DGC patient-derived organoids and exhibit impressive survival benefit in the established mouse models, especially when combined with PD-1 blockade therapy. Our study provides a new possibility of DGC treatment by targeting uPAR in a unique manner.
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Affiliation(s)
- Long Qin
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Long Wang
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Junchang Zhang
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Huinian Zhou
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Zhiliang Yang
- Lanzhou Huazhitiancheng Biotechnologies Co., Ltd, Lanzhou, Gansu 730000, China
| | - Yan Wang
- Lanzhou Huazhitiancheng Biotechnologies Co., Ltd, Lanzhou, Gansu 730000, China
| | - Weiwen Cai
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Fei Wen
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Xiangyan Jiang
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Tiansheng Zhang
- Lanzhou Huazhitiancheng Biotechnologies Co., Ltd, Lanzhou, Gansu 730000, China
| | - Huili Ye
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Bo Long
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Junjie Qin
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Wengui Shi
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Xiaoying Guan
- Department of Pathology, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Zeyuan Yu
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
| | - Jing Yang
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
- Corresponding author. (Z.J.); (Q.W.); (J.Y.)
| | - Qi Wang
- Lanzhou Huazhitiancheng Biotechnologies Co., Ltd, Lanzhou, Gansu 730000, China
- Corresponding author. (Z.J.); (Q.W.); (J.Y.)
| | - Zuoyi Jiao
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China
- Corresponding author. (Z.J.); (Q.W.); (J.Y.)
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30
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Costa B, Estrada MF, Barroso MT, Fior R. Zebrafish Patient-Derived Avatars from Digestive Cancers for Anti-cancer Therapy Screening. Curr Protoc 2022; 2:e415. [PMID: 35436037 DOI: 10.1002/cpz1.415] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Patient-derived xenografts (PDXs), also called "avatars," are generated by the implantation of human primary tumor cells or tissues into a host animal. Given the complexity and unique characteristics of each tumor, PDXs are models of choice in cancer research and precision medicine. In this context, the zebrafish PDX model (zPDX or zAvatar) has been recognized as a promising in vivo model to directly challenge patient cells with anti-cancer therapies in a personalized manner. The assay relies on the injection of tumor cells from patients into zebrafish embryos to then test and identify the best available drug combination for a particular patient. Compared to mouse PDXs, zAvatar assays take less time and do not require in vitro or in vivo cell expansion. The present article describes how to generate zAvatars from resected digestive cancer from surgeries and how to then use them for anti-cancer therapy screening. We describe the steps for tumor sample collection and cryopreservation, sample preparation and fluorescent labeling for microinjection into zebrafish embryos, drug administration, and analysis of tumor behavior by single-cell confocal imaging. We provide detailed protocols and helpful tips for performing this assay, and we address the technical challenges associated with the workflow. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Patient tumor sample collection and cryopreservation Basic Protocol 2: Generation of zAvatars and anti-cancer treatment Basic Protocol 3: Whole-mount immunofluorescence Basic Protocol 4: Confocal imaging and analysis.
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Affiliation(s)
- Bruna Costa
- Champalimaud Foundation, Champalimaud Research, Lisbon, Portugal
| | - Marta F Estrada
- Champalimaud Foundation, Champalimaud Research, Lisbon, Portugal
| | | | - Rita Fior
- Champalimaud Foundation, Champalimaud Research, Lisbon, Portugal
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31
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Functional Therapeutic Target Validation Using Pediatric Zebrafish Xenograft Models. Cancers (Basel) 2022; 14:cancers14030849. [PMID: 35159116 PMCID: PMC8834194 DOI: 10.3390/cancers14030849] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/29/2022] [Accepted: 02/03/2022] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Despite the major progress of precision and personalized oncology, a significant therapeutic benefit is only achieved in cases with directly druggable genetic alterations. This highlights the need for additional methods that reliably predict each individual patient’s response in a clinically meaningful time, e.g., through ex vivo functional drug screen profiling. Moreover, patient-derived xenograft (PDX) models are more predictive than cell culture studies, as they reconstruct cell–cell and cell–extracellular matrix (ECM) interactions and consider the tumor microenvironment, drug metabolism and toxicities. Zebrafish PDXs (zPDX) are nowadays emerging as a fast model allowing for multiple drugs to be tested at the same time in a clinically relevant time window. Here, we show that functional drug response profiling of zPDX from primary material obtained through the INdividualized Therapy FOr Relapsed Malignancies in Childhood (INFORM) pediatric precision oncology pipeline provides additional key information for personalized precision oncology. Abstract The survival rate among children with relapsed tumors remains poor, due to tumor heterogeneity, lack of directly actionable tumor drivers and multidrug resistance. Novel personalized medicine approaches tailored to each tumor are urgently needed to improve cancer treatment. Current pediatric precision oncology platforms, such as the INFORM (INdividualized Therapy FOr Relapsed Malignancies in Childhood) study, reveal that molecular profiling of tumor tissue identifies targets associated with clinical benefit in a subgroup of patients only and should be complemented with functional drug testing. In such an approach, patient-derived tumor cells are exposed to a library of approved oncological drugs in a physiological setting, e.g., in the form of animal avatars injected with patient tumor cells. We used molecularly fully characterized tumor samples from the INFORM study to compare drug screen results of individual patient-derived cell models in functional assays: (i) patient-derived spheroid cultures within a few days after tumor dissociation; (ii) tumor cells reisolated from the corresponding mouse PDX; (iii) corresponding long-term organoid-like cultures and (iv) drug evaluation with the corresponding zebrafish PDX (zPDX) model. Each model had its advantage and complemented the others for drug hit and drug combination selection. Our results provide evidence that in vivo zPDX drug screening is a promising add-on to current functional drug screening in precision medicine platforms.
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32
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Pan B, Wei X, Xu X. Patient-derived xenograft models in hepatopancreatobiliary cancer. Cancer Cell Int 2022; 22:41. [PMID: 35090441 PMCID: PMC8796540 DOI: 10.1186/s12935-022-02454-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Accepted: 01/04/2022] [Indexed: 12/20/2022] Open
Abstract
Animal models are crucial tools for evaluating the biological progress of human cancers and for the preclinical investigation of anticancer drugs and cancer prevention. Various animals are widely used in hepatopancreatobiliary cancer research, and mouse models are the most popular. Generally, genetic tools, graft transplantation, and chemical and physical measures are adopted to generate sundry mouse models of hepatopancreatobiliary cancer. Graft transplantation is commonly used to study tumour progression. Over the past few decades, subcutaneous or orthotopic cell-derived tumour xenograft models (CDX models) have been developed to simulate distinct tumours in patients. However, two major limitations exist in CDX models. One model poorly simulates the microenvironment of tumours in humans, such as the vascular, lymphatic and immune environments. The other model loses genetic heterogeneity compared with the corresponding primary tumour. Increased efforts have focused on developing better models for hepatopancreatobiliary cancer research. Hepatopancreatobiliary cancer is considered a tumour with high molecular heterogeneity, making precision medicine challenging in cancer treatment. Developing a new animal model that can better mimic tumour tissue and more accurately predict the efficacy of anticancer treatments is urgent. For the past several years, the patient-derived xenograft model (PDX model) has emerged as a promising tool for translational research. It can retain the genetic and histological stability of their originating tumour at limited passages and shed light on precision cancer medicine. In this review, we summarize the methodology, advantages/disadvantages and applications of PDX models in hepatopancreatobiliary cancer research.
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33
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Salivary gland cancer in the setting of tumor microenvironment: Translational routes for therapy. Crit Rev Oncol Hematol 2022; 171:103605. [DOI: 10.1016/j.critrevonc.2022.103605] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/07/2022] [Accepted: 01/21/2022] [Indexed: 12/11/2022] Open
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34
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Mavrommati I, Johnson F, Echeverria GV, Natrajan R. Subclonal heterogeneity and evolution in breast cancer. NPJ Breast Cancer 2021; 7:155. [PMID: 34934048 PMCID: PMC8692469 DOI: 10.1038/s41523-021-00363-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 11/26/2021] [Indexed: 12/11/2022] Open
Abstract
Subclonal heterogeneity and evolution are characteristics of breast cancer that play a fundamental role in tumour development, progression and resistance to current therapies. In this review, we focus on the recent advances in understanding the epigenetic and transcriptomic changes that occur within breast cancer and their importance in terms of cancer development, progression and therapy resistance with a particular focus on alterations at the single-cell level. Furthermore, we highlight the utility of using single-cell tracing and molecular barcoding methodologies in preclinical models to assess disease evolution and response to therapy. We discuss how the integration of single-cell profiling from patient samples can be used in conjunction with results from preclinical models to untangle the complexities of this disease and identify biomarkers of disease progression, including measures of intra-tumour heterogeneity themselves, and how enhancing this understanding has the potential to uncover new targetable vulnerabilities in breast cancer.
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Affiliation(s)
- Ioanna Mavrommati
- grid.18886.3fThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Flora Johnson
- grid.18886.3fThe Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Gloria V. Echeverria
- grid.39382.330000 0001 2160 926XLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX USA ,grid.39382.330000 0001 2160 926XDepartment of Medicine, Baylor College of Medicine, Houston, TX USA ,grid.39382.330000 0001 2160 926XDan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX USA ,grid.39382.330000 0001 2160 926XDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX USA
| | - Rachael Natrajan
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.
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35
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Haydar D, Ibañez-Vega J, Krenciute G. T-Cell Immunotherapy for Pediatric High-Grade Gliomas: New Insights to Overcoming Therapeutic Challenges. Front Oncol 2021; 11:718030. [PMID: 34760690 PMCID: PMC8573171 DOI: 10.3389/fonc.2021.718030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 10/08/2021] [Indexed: 01/06/2023] Open
Abstract
Despite decades of research, pediatric central nervous system (CNS) tumors remain the most debilitating, difficult to treat, and deadliest cancers. Current therapies, including radiation, chemotherapy, and/or surgery, are unable to cure these diseases and are associated with serious adverse effects and long-term impairments. Immunotherapy using chimeric antigen receptor (CAR) T cells has the potential to elucidate therapeutic antitumor immune responses that improve survival without the devastating adverse effects associated with other therapies. Yet, despite the outstanding performance of CAR T cells against hematologic malignancies, they have shown little success targeting brain tumors. This lack of efficacy is due to a scarcity of targetable antigens, interactions with the immune microenvironment, and physical and biological barriers limiting the homing and trafficking of CAR T cells to brain tumors. In this review, we summarize experiences with CAR T-cell therapy for pediatric CNS tumors in preclinical and clinical settings and focus on the current roadblocks and novel strategies to potentially overcome those therapeutic challenges.
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Affiliation(s)
| | | | - Giedre Krenciute
- Department of Bone Marrow Transplantation & Cellular Therapy, St. Jude Children’s Research Hospital, Memphis, TN, United States
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36
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Kiblitskaya AA, Goncharova AS, Anisimov AE, Snezhko AV, Dimitriadi SN, Maslov AA, Gevorkyan YA, Kolesnikov EN. Antitumor effect of radiation therapy on orthotopic PDX models of human esophageal adenocarcinoma. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2021. [DOI: 10.24075/brsmu.2021.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
As a rule, esophageal adenocarcinoma develops in the lower esophagus. Life expectancy and survival rates depend on the cancer stage and the general health of the patient. Chemoradiotherapy is the most successful treatment approach to this type of cancer. The choice of optimal radiation doses for achieving the best possible therapeutic effect is still a challenge. The aim of this paper was to study effective radiation doses and assess response of human esophageal adenocarcinoma to radiation using a PDX model. The study was conducted in female Balb/c nude mice (n = 25). Fragments of the donor tumor were implanted into the cervical esophagus of immunodeficient mice. Effects of radiation on the obtained orthotopic xenografts were studied after each of 3 irradiation sessions (4, 6, 8, and 10 Gy in each of the experimental groups, respectively). First-passage xenografts reproduced the morphology of the donor tumor. The mean tumor volume differed significantly between the control group and the experimental groups exposed to 6, 8 or 10 Gy (р ≤ 0.01) after each irradiation session. Tumor growth delay was significant after exposure to the total dose of 18 Gy. The further radiation dose increase was ineffective. The reduction of tumor volume in the xenografts was correlated to the increase in the one-time radiation dose. The total dose over 18 Gy produced a detrimental effect on the hematopoietic system and blood biochemistry of the experimental mice.
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Affiliation(s)
- AA Kiblitskaya
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AS Goncharova
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AE Anisimov
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AV Snezhko
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - SN Dimitriadi
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AA Maslov
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - YA Gevorkyan
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - EN Kolesnikov
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
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37
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Xing F, Liu YC, Huang S, Lyu X, Su SM, Chan UI, Wu PC, Yan Y, Ai N, Li J, Zhao M, Rajendran BK, Liu J, Shao F, Sun H, Choi TK, Zhu W, Luo G, Liu S, Xu DL, Chan KL, Zhao Q, Miao K, Luo KQ, Ge W, Xu X, Wang G, Liu TM, Deng CX. Accelerating precision anti-cancer therapy by time-lapse and label-free 3D tumor slice culture platform. Theranostics 2021; 11:9415-9430. [PMID: 34646378 PMCID: PMC8490519 DOI: 10.7150/thno.59533] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/29/2021] [Indexed: 11/30/2022] Open
Abstract
The feasibility of personalized medicine for cancer treatment is largely hampered by costly, labor-intensive and time-consuming models for drug discovery. Herein, establishing new pre-clinical models to tackle these issues for personalized medicine is urgently demanded. Methods: We established a three-dimensional tumor slice culture (3D-TSC) platform incorporating label-free techniques for time-course experiments to predict anti-cancer drug efficacy and validated the 3D-TSC model by multiphoton fluorescence microscopy, RNA sequence analysis, histochemical and histological analysis. Results: Using time-lapse imaging of the apoptotic reporter sensor C3 (C3), we performed cell-based high-throughput drug screening and shortlisted high-efficacy drugs to screen murine and human 3D-TSCs, which validate effective candidates within 7 days of surgery. Histological and RNA sequence analyses demonstrated that 3D-TSCs accurately preserved immune components of the original tumor, which enables the successful achievement of immune checkpoint blockade assays with antibodies against PD-1 and/or PD-L1. Label-free multiphoton fluorescence imaging revealed that 3D-TSCs exhibit lipofuscin autofluorescence features in the time-course monitoring of drug response and efficacy. Conclusion: This technology accelerates precision anti-cancer therapy by providing a cheap, fast, and easy platform for anti-cancer drug discovery.
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Genetic Characterization, Current Model Systems and Prognostic Stratification in PAX Fusion-Negative vs. PAX Fusion-Positive Rhabdomyosarcoma. Genes (Basel) 2021; 12:genes12101500. [PMID: 34680895 PMCID: PMC8535289 DOI: 10.3390/genes12101500] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 09/19/2021] [Accepted: 09/24/2021] [Indexed: 12/17/2022] Open
Abstract
Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma in children and adolescents and accounts for approximately 2% of soft tissue sarcomas in adults. It is subcategorized into distinct subtypes based on histological features and fusion status (PAX-FOXO1/VGLL2/NCOA2). Despite advances in our understanding of the pathobiological and molecular landscape of RMS, the prognosis of these tumors has not significantly improved in recent years. Developing a better understanding of genetic abnormalities and risk stratification beyond the fusion status are crucial to developing better therapeutic strategies. Herein, we aim to highlight the genetic pathways/abnormalities involved, specifically in fusion-negative RMS, assess the currently available model systems to study RMS pathogenesis, and discuss available prognostic factors as well as their importance for risk stratification to achieve optimal therapeutic management.
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Wang X, Ha D, Yoshitake R, Chan YS, Sadava D, Chen S. Exploring the Biological Activity and Mechanism of Xenoestrogens and Phytoestrogens in Cancers: Emerging Methods and Concepts. Int J Mol Sci 2021; 22:8798. [PMID: 34445499 PMCID: PMC8395949 DOI: 10.3390/ijms22168798] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 07/30/2021] [Accepted: 08/08/2021] [Indexed: 12/11/2022] Open
Abstract
Xenoestrogens and phytoestrogens are referred to as "foreign estrogens" that are produced outside of the human body and have been shown to exert estrogen-like activity. Xenoestrogens are synthetic industrial chemicals, whereas phytoestrogens are chemicals present in the plant. Considering that these environmental estrogen mimics potentially promote hormone-related cancers, an understanding of how they interact with estrogenic pathways in human cells is crucial to resolve their possible impacts in cancer. Here, we conducted an extensive literature evaluation on the origins of these chemicals, emerging research techniques, updated molecular mechanisms, and ongoing clinical studies of estrogen mimics in human cancers. In this review, we describe new applications of patient-derived xenograft (PDX) models and single-cell RNA sequencing (scRNA-seq) techniques in shaping the current knowledge. At the molecular and cellular levels, we provide comprehensive and up-to-date insights into the mechanism of xenoestrogens and phytoestrogens in modulating the hallmarks of cancer. At the systemic level, we bring the emerging concept of window of susceptibility (WOS) into focus. WOS is the critical timing during the female lifespan that includes the prenatal, pubertal, pregnancy, and menopausal transition periods, during which the mammary glands are more sensitive to environmental exposures. Lastly, we reviewed 18 clinical trials on the application of phytoestrogens in the prevention or treatment of different cancers, conducted from 2002 to the present, and provide evidence-based perspectives on the clinical applications of phytoestrogens in cancers. Further research with carefully thought-through concepts and advanced methods on environmental estrogens will help to improve understanding for the identification of environmental influences, as well as provide novel mechanisms to guide the development of prevention and therapeutic approaches for human cancers.
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Affiliation(s)
| | | | | | | | | | - Shiuan Chen
- Department of Cancer Biology, Beckman Research Institute, City of Hope, 1500 E. Duarte Rd., Duarte, CA 91010, USA; (X.W.); (D.H.); (R.Y.); (Y.S.C.); (D.S.)
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40
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Gao Y, Zhou R, Huang JF, Hu B, Cheng JW, Huang XW, Wang PX, Peng HX, Guo W, Zhou J, Fan J, Yang XR. Patient-Derived Xenograft Models for Intrahepatic Cholangiocarcinoma and Their Application in Guiding Personalized Medicine. Front Oncol 2021; 11:704042. [PMID: 34327143 PMCID: PMC8315044 DOI: 10.3389/fonc.2021.704042] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 06/25/2021] [Indexed: 11/17/2022] Open
Abstract
Background Intrahepatic cholangiocarcinoma (ICC) remains one of the most intractable malignancies. The development of effective drug treatments for ICC is seriously hampered by the lack of reliable tumor models. At present, patient derived xenograft (PDX) models prove to accurately reflect the genetic and biological diversity required to decipher tumor biology and therapeutic vulnerabilities. This study was designed to investigate the establishment and potential application of PDX models for guiding personalized medicine and identifying potential biomarker for lenvatinib resistance. Methods We generated PDX models from 89 patients with ICC and compared the morphological and molecular similarities of parental tumors and passaged PDXs. The clinicopathologic features affecting PDX engraftment and the prognostic significance of PDX engraftment were analyzed. Drug treatment responses were analyzed in IMF-138, IMF-114 PDX models and corresponding patients. Finally, lenvatinib treatment response was examined in PDX models and potential drug resistance mechanism was revealed. Results Forty-nine PDX models were established (take rate: 55.1%). Successful PDX engraftment was associated with negative HbsAg (P = 0.031), presence of mVI (P = 0.001), poorer tumor differentiation (P = 0.023), multiple tumor number (P = 0.003), presence of lymph node metastasis (P = 0.001), and later TNM stage (P = 0.039). Moreover, patients with tumor engraftment had significantly shorter time to recurrence (TTR) (P < 0.001) and worse overall survival (OS) (P < 0.001). Multivariate analysis indicated that PDX engraftment was an independent risk factor for shortened TTR (HR = 1.84; 95% CI, 1.05–3.23; P = 0.034) and OS (HR = 2.13; 95% CI, 1.11–4.11; P = 0.024). PDXs were histologically and genetically similar to their parental tumors. We also applied IMF-138 and IMF-114 PDX drug testing results to guide clinical treatment for patients with ICC and found similar treatment responses. PDX models also facilitated personalized medicine for patients with ICC based on drug screening results using whole exome sequencing data. Additionally, PDX models reflected the heterogeneous sensitivity to lenvatinib treatment and CDH1 might be vital to lenvatinib-resistance. Conclusion PDX models provide a powerful platform for preclinical drug discovery, and potentially facilitate the implementation of personalized medicine and improvement of survival of ICC cancer patient.
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Affiliation(s)
- Yang Gao
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Rong Zhou
- Department of Blood Transfusion, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jun-Feng Huang
- Department of Intensive Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bo Hu
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Jian-Wen Cheng
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xiao-Wu Huang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Peng-Xiang Wang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Hai-Xiang Peng
- Shanghai Dunwill Medical Technology Co., Ltd., Shanghai, China.,Shanghai Epione Medlab Co., Ltd., Shanghai, China
| | - Wei Guo
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Xin-Rong Yang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
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Heinrich MA, Mostafa AMRH, Morton JP, Hawinkels LJAC, Prakash J. Translating complexity and heterogeneity of pancreatic tumor: 3D in vitro to in vivo models. Adv Drug Deliv Rev 2021; 174:265-293. [PMID: 33895214 DOI: 10.1016/j.addr.2021.04.018] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/16/2021] [Accepted: 04/19/2021] [Indexed: 02/08/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive type of cancer with an overall survival rate of less than 7-8%, emphasizing the need for novel effective therapeutics against PDAC. However only a fraction of therapeutics which seemed promising in the laboratory environment will eventually reach the clinic. One of the main reasons behind this low success rate is the complex tumor microenvironment (TME) of PDAC, a highly fibrotic and dense stroma surrounding tumor cells, which supports tumor progression as well as increases the resistance against the treatment. In particular, the growing understanding of the PDAC TME points out a different challenge in the development of efficient therapeutics - a lack of biologically relevant in vitro and in vivo models that resemble the complexity and heterogeneity of PDAC observed in patients. The purpose and scope of this review is to provide an overview of the recent developments in different in vitro and in vivo models, which aim to recapitulate the complexity of PDAC in a laboratory environment, as well to describe how 3D in vitro models can be integrated into drug development pipelines that are already including sophisticated in vivo models. Hereby a special focus will be given on the complexity of in vivo models and the challenges in vitro models face to reach the same levels of complexity in a controllable manner. First, a brief introduction of novel developments in two dimensional (2D) models and ex vivo models is provided. Next, recent developments in three dimensional (3D) in vitro models are described ranging from spheroids, organoids, scaffold models, bioprinted models to organ-on-chip models including a discussion on advantages and limitations for each model. Furthermore, we will provide a detailed overview on the current PDAC in vivo models including chemically-induced models, syngeneic and xenogeneic models, highlighting hetero- and orthotopic, patient-derived tissues (PDX) models, and genetically engineered mouse models. Finally, we will provide a discussion on overall limitations of both, in vitro and in vivo models, and discuss necessary steps to overcome these limitations to reach an efficient drug development pipeline, as well as discuss possibilities to include novel in silico models in the process.
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Affiliation(s)
- Marcel A Heinrich
- Department of Biomaterials Science and Technology, Section Targeted Therapeutics, Technical Medical Centre, University of Twente, 7500AE Enschede, the Netherlands
| | - Ahmed M R H Mostafa
- Department of Biomaterials Science and Technology, Section Targeted Therapeutics, Technical Medical Centre, University of Twente, 7500AE Enschede, the Netherlands
| | - Jennifer P Morton
- Cancer Research UK, Beatson Institute, Garscube Estate, Switchback Rd, Glasgow G61 1BD, UK; Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Rd, Glasgow G61 1QH, UK
| | - Lukas J A C Hawinkels
- Department of Gastroenterology-Hepatology, Leiden University Medical Centre, PO-box 9600, 2300 RC Leiden, the Netherlands
| | - Jai Prakash
- Department of Biomaterials Science and Technology, Section Targeted Therapeutics, Technical Medical Centre, University of Twente, 7500AE Enschede, the Netherlands.
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Moccia C, Haase K. Engineering Breast Cancer On-chip-Moving Toward Subtype Specific Models. Front Bioeng Biotechnol 2021; 9:694218. [PMID: 34249889 PMCID: PMC8261144 DOI: 10.3389/fbioe.2021.694218] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 05/31/2021] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the second leading cause of death among women worldwide, and while hormone receptor positive subtypes have a clear and effective treatment strategy, other subtypes, such as triple negative breast cancers, do not. Development of new drugs, antibodies, or immune targets requires significant re-consideration of current preclinical models, which frequently fail to mimic the nuances of patient-specific breast cancer subtypes. Each subtype, together with the expression of different markers, genetic and epigenetic profiles, presents a unique tumor microenvironment, which promotes tumor development and progression. For this reason, personalized treatments targeting components of the tumor microenvironment have been proposed to mitigate breast cancer progression, particularly for aggressive triple negative subtypes. To-date, animal models remain the gold standard for examining new therapeutic targets; however, there is room for in vitro tools to bridge the biological gap with humans. Tumor-on-chip technologies allow for precise control and examination of the tumor microenvironment and may add to the toolbox of current preclinical models. These new models include key aspects of the tumor microenvironment (stroma, vasculature and immune cells) which have been employed to understand metastases, multi-organ interactions, and, importantly, to evaluate drug efficacy and toxicity in humanized physiologic systems. This review provides insight into advanced in vitro tumor models specific to breast cancer, and discusses their potential and limitations for use as future preclinical patient-specific tools.
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Affiliation(s)
| | - Kristina Haase
- European Molecular Biology Laboratory, European Molecular Biology Laboratory Barcelona, Barcelona, Spain
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Kanaki Z, Voutsina A, Markou A, Pateras IS, Potaris K, Avgeris M, Makrythanasis P, Athanasiadis EI, Vamvakaris I, Patsea E, Vachlas K, Lianidou E, Georgoulias V, Kotsakis A, Klinakis A. Generation of Non-Small Cell Lung Cancer Patient-Derived Xenografts to Study Intratumor Heterogeneity. Cancers (Basel) 2021; 13:cancers13102446. [PMID: 34070013 PMCID: PMC8157865 DOI: 10.3390/cancers13102446] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/12/2021] [Accepted: 05/13/2021] [Indexed: 12/25/2022] Open
Abstract
Simple Summary It is widely thought that tumors are composed of different subpopulations of cancer cells carrying genetic alterations with some of them being common among all cells while others are unique for each subpopulation. This variable genetic profile of tumor cells is a component of what is collectively described as intratumor heterogeneity (ITH). Surviving the immune system and therapies, and establishing metastases are forces of natural selection that act upon ITH and drive tumor evolution and, eventually, the clinical presentation of patients. The aim of this prospective study was to investigate ITH in early-stage operable non-small cell lung cancer. We directly grafted human tumors in immunosuppressed mice and compared the genetic profile of the tumors grown in mice with that of the original human tumors. We identified clinical factors that affected the ability of human tumors to grow as mouse xenografts. Abstract Recent advances in sequencing technologies have allowed the in-depth molecular study of tumors, even at the single cell level. Sequencing efforts have uncovered a previously unappreciated heterogeneity among tumor cells, which has been postulated to be the driving force of tumor evolution and to facilitate recurrence, metastasis, and drug resistance. In the current study, focused on early-stage operable non-small cell lung cancer, we used tumor growth in patient-derived xenograft (PDX) models in mice as a fast-forward tumor evolution process to investigate the molecular characteristics of tumor cells that grow in mice, as well as the parameters that affect the grafting efficiency. We found that squamous cell carcinomas grafted significantly more efficiently compared with adenocarcinomas. Advanced stage, patient age and primary tumor size were positively correlated with grafting. Additionally, we isolated and characterized circulating tumor cells (CTC) from patients’ peripheral blood and found that the presence of CTCs expressing epithelial-to-mesenchymal (EMT) markers correlated with the grafting potential. Interestingly, exome sequencing of the PDX tumor identified genetic alterations in DNA repair and genome integrity genes that were under-represented in the human primary counterpart. In conclusion, through the generation of a PDX biobank of NSCLC, we identified the clinical and molecular properties of tumors that affected growth in mice.
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Affiliation(s)
- Zoi Kanaki
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece; (Z.K.); (A.V.); (P.M.)
| | - Alexandra Voutsina
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece; (Z.K.); (A.V.); (P.M.)
| | - Athina Markou
- Analysis of Circulating Tumor Cells Lab, Lab of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece; (A.M.); (E.L.)
| | - Ioannis S. Pateras
- Department of Histology and Embryology, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Konstantinos Potaris
- Department of Thoracic Surgery, Sotiria Hospital for Chest Diseases, 11527 Athens, Greece; (K.P.); (K.V.)
| | - Margaritis Avgeris
- Laboratory of Clinical Biochemistry–Molecular Diagnostics, Second Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, “P. & A. Kyriakou” Children’s Hospital, 11527 Athens, Greece;
| | - Periklis Makrythanasis
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece; (Z.K.); (A.V.); (P.M.)
| | | | - Ioannis Vamvakaris
- Pathology Department, Athens Chest Hospital “Sotiria”, 11527 Athens, Greece;
| | - Eleni Patsea
- Department of Pathology, Metropolitan Hospital, 18547 Cholargos, Greece;
| | - Konstantinos Vachlas
- Department of Thoracic Surgery, Sotiria Hospital for Chest Diseases, 11527 Athens, Greece; (K.P.); (K.V.)
| | - Evi Lianidou
- Analysis of Circulating Tumor Cells Lab, Lab of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, 15771 Athens, Greece; (A.M.); (E.L.)
| | | | - Athanasios Kotsakis
- Department of Medical Oncology, General University Hospital of Larissa, 41110 Larissa, Greece;
| | - Apostolos Klinakis
- Center for Basic Research, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece; (Z.K.); (A.V.); (P.M.)
- Correspondence:
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Na D, Moon HG. Patient-Derived Xenograft Models in Breast Cancer Research. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1187:283-301. [PMID: 33983584 DOI: 10.1007/978-981-32-9620-6_14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Patient-derived xenograft (PDX) model can be used as a platform to study the individual patient's sensitivity to targeted agents as well as its ability to guide our understanding in various aspects of tumor biology including the tumor's clonal evolution and interaction with microenvironment. In this chapter, we review the history of PDX models in various tumor types. Additionally, we highlight the key studies that suggested potential value of PDX models in cancer treatment. Specifically, we will briefly introduce several studies on the issue of PDX models for precision medicine. In latter part of this chapter, we focus on the studies that used PDX models to investigate the molecular biology of breast cancer that underlies the process of drug resistance and tumor metastasis. Also, we will address our own experience in developing PDX models using breast cancer tissues from Korean breast cancer patients.
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Affiliation(s)
- Deukchae Na
- Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, South Korea
| | - Hyeong-Gon Moon
- Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea.
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Integrated approaches for precision oncology in colorectal cancer: The more you know, the better. Semin Cancer Biol 2021; 84:199-213. [PMID: 33848627 DOI: 10.1016/j.semcancer.2021.04.007] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 03/30/2021] [Accepted: 04/07/2021] [Indexed: 12/24/2022]
Abstract
Colorectal cancer (CRC) is one of the most common human malignancies accounting for approximately 10 % of worldwide cancer incidence and mortality. While early-stage CRC is mainly a preventable and curable disease, metastatic colorectal cancer (mCRC) remains an unmet clinical need. Moreover, about 25 % of CRC cases are diagnosed only at the metastatic stage. Despite the extensive molecular and functional knowledge on this disease, systemic therapy for mCRC still relies on traditional 5-fluorouracil (5-FU)-based chemotherapy regimens. On the other hand, targeted therapies and immunotherapy have shown effectiveness only in a limited subset of patients. For these reasons, there is a growing need to define the molecular and biological landscape of individual patients to implement novel, rationally driven, tailored therapies. In this review, we explore current and emerging approaches for CRC management such as genomic, transcriptomic and metabolomic analysis, the use of liquid biopsies and the implementation of patients' preclinical avatars. In particular, we discuss the contribution of each of these tools in elucidating patient specific features, with the aim of improving our ability in advancing the diagnosis and treatment of colorectal tumors.
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Ruiz-Espigares J, Nieto D, Moroni L, Jiménez G, Marchal JA. Evolution of Metastasis Study Models toward Metastasis-On-A-Chip: The Ultimate Model? SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2006009. [PMID: 33705602 DOI: 10.1002/smll.202006009] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 12/05/2020] [Indexed: 06/12/2023]
Abstract
For decades, several attempts have been made to obtain a mimetic model for the study of metastasis, the reason of most of deaths caused by cancer, in order to solve the unknown phenomena surrounding this disease. To better understand this cellular dissemination process, more realistic models are needed that are capable of faithfully recreating the entire and essential tumor microenvironment (TME). Thus, new tools known as tumor-on-a-chip and metastasis-on-a-chip have been recently proposed. These tools incorporate microfluidic systems and small culture chambers where TME can be faithfully modeled thanks to 3D bioprinting. In this work, a literature review has been developed about the different phases of metastasis, the remaining unknowns and the use of new models to study this disease. The aim is to provide a global vision of the current panorama and the great potential that these systems have for in vitro translational research on the molecular basis of the pathology. In addition, these models will allow progress toward a personalized medicine, generating chips from patient samples that mimic the original tumor and the metastatic process to perform a precise pharmacological screening by establishing the most appropriate treatment protocol.
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Affiliation(s)
- Jesús Ruiz-Espigares
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, E-18016, Spain
- Excellence Research Unit "Modeling Nature" (MNat), University of Granada, Granada, 18016, Spain
- Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, Granada, E-18016, Spain
- Biosanitary Research Institute of Granada (ibs.GRANADA), University Hospitals of Granada-University of Granada, Granada, E-18071, Spain
| | - Daniel Nieto
- Photonics4life Research Group, Applied Physics Department, Faculty of Physics, University of Santiago de Compostela, Santiago de Compostela, 15705, Spain
- Complex Tissue Regeneration Department, MERLN Institute for Technology Inspired Regenerative Medicine, Universiteitssingel 40, Maastricht, 6229ER, The Netherlands
| | - Lorenzo Moroni
- Complex Tissue Regeneration Department, MERLN Institute for Technology Inspired Regenerative Medicine, Universiteitssingel 40, Maastricht, 6229ER, The Netherlands
| | - Gema Jiménez
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, E-18016, Spain
- Excellence Research Unit "Modeling Nature" (MNat), University of Granada, Granada, 18016, Spain
- Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, Granada, E-18016, Spain
- Biosanitary Research Institute of Granada (ibs.GRANADA), University Hospitals of Granada-University of Granada, Granada, E-18071, Spain
| | - Juan Antonio Marchal
- Biopathology and Regenerative Medicine Institute (IBIMER), Centre for Biomedical Research (CIBM), University of Granada, Granada, E-18016, Spain
- Excellence Research Unit "Modeling Nature" (MNat), University of Granada, Granada, 18016, Spain
- Department of Human Anatomy and Embryology, Faculty of Medicine, University of Granada, Granada, E-18016, Spain
- Biosanitary Research Institute of Granada (ibs.GRANADA), University Hospitals of Granada-University of Granada, Granada, E-18071, Spain
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Sigdel I, Gupta N, Faizee F, Khare VM, Tiwari AK, Tang Y. Biomimetic Microfluidic Platforms for the Assessment of Breast Cancer Metastasis. Front Bioeng Biotechnol 2021; 9:633671. [PMID: 33777909 PMCID: PMC7992012 DOI: 10.3389/fbioe.2021.633671] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 02/05/2021] [Indexed: 12/27/2022] Open
Abstract
Of around half a million women dying of breast cancer each year, more than 90% die due to metastasis. Models necessary to understand the metastatic process, particularly breast cancer cell extravasation and colonization, are currently limited and urgently needed to develop therapeutic interventions necessary to prevent breast cancer metastasis. Microfluidic approaches aim to reconstitute functional units of organs that cannot be modeled easily in traditional cell culture or animal studies by reproducing vascular networks and parenchyma on a chip in a three-dimensional, physiologically relevant in vitro system. In recent years, microfluidics models utilizing innovative biomaterials and micro-engineering technologies have shown great potential in our effort of mechanistic understanding of the breast cancer metastasis cascade by providing 3D constructs that can mimic in vivo cellular microenvironment and the ability to visualize and monitor cellular interactions in real-time. In this review, we will provide readers with a detailed discussion on the application of the most up-to-date, state-of-the-art microfluidics-based breast cancer models, with a special focus on their application in the engineering approaches to recapitulate the metastasis process, including invasion, intravasation, extravasation, breast cancer metastasis organotropism, and metastasis niche formation.
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Affiliation(s)
- Indira Sigdel
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
| | - Niraj Gupta
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
| | - Fairuz Faizee
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
| | - Vishwa M Khare
- Eurofins Lancaster Laboratories, Philadelphia, PA, United States
| | - Amit K Tiwari
- Department of Pharmacology and Experimental Therapeutics, College of Pharmacy & Pharmaceutical Sciences, University of Toledo, Toledo, OH, United States
| | - Yuan Tang
- Biofluidics Laboratory, Department of Bioengineering, College of Engineering, University of Toledo, Toledo, OH, United States
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48
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Schäfer D, Tomiuk S, Küster LN, Rawashdeh WA, Henze J, Tischler-Höhle G, Agorku DJ, Brauner J, Linnartz C, Lock D, Kaiser A, Herbel C, Eckardt D, Lamorte M, Lenhard D, Schüler J, Ströbel P, Missbach-Guentner J, Pinkert-Leetsch D, Alves F, Bosio A, Hardt O. Identification of CD318, TSPAN8 and CD66c as target candidates for CAR T cell based immunotherapy of pancreatic adenocarcinoma. Nat Commun 2021; 12:1453. [PMID: 33674603 PMCID: PMC7935963 DOI: 10.1038/s41467-021-21774-4] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 02/09/2021] [Indexed: 12/17/2022] Open
Abstract
A major roadblock prohibiting effective cellular immunotherapy of pancreatic ductal adenocarcinoma (PDAC) is the lack of suitable tumor-specific antigens. To address this challenge, here we combine flow cytometry screenings, bioinformatic expression analyses and a cyclic immunofluorescence platform. We identify CLA, CD66c, CD318 and TSPAN8 as target candidates among 371 antigens and generate 32 CARs specific for these molecules. CAR T cell activity is evaluated in vitro based on target cell lysis, T cell activation and cytokine release. Promising constructs are evaluated in vivo. CAR T cells specific for CD66c, CD318 and TSPAN8 demonstrate efficacies ranging from stabilized disease to complete tumor eradication with CD318 followed by TSPAN8 being the most promising candidates for clinical translation based on functionality and predicted safety profiles. This study reveals potential target candidates for CAR T cell based immunotherapy of PDAC together with a functional set of CAR constructs specific for these molecules.
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Affiliation(s)
- Daniel Schäfer
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
- University Medical Center Göttingen, Clinic for Hematology and Medical Oncology, Göttingen, Lower Saxony, Germany
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Göttingen, Lower Saxony, Germany
| | - Stefan Tomiuk
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Laura N Küster
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Wa'el Al Rawashdeh
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Janina Henze
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
- University Medical Center Göttingen, Clinic for Hematology and Medical Oncology, Göttingen, Lower Saxony, Germany
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Göttingen, Lower Saxony, Germany
| | | | - David J Agorku
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Janina Brauner
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Cathrin Linnartz
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Dominik Lock
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Andrew Kaiser
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Christoph Herbel
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Dominik Eckardt
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Melina Lamorte
- Charles River Discovery Research Services GmbH, Freiburg, Baden-Wuerttemberg, Germany
| | - Dorothee Lenhard
- Charles River Discovery Research Services GmbH, Freiburg, Baden-Wuerttemberg, Germany
| | - Julia Schüler
- Charles River Discovery Research Services GmbH, Freiburg, Baden-Wuerttemberg, Germany
| | - Philipp Ströbel
- University Medical Center Göttingen, Institute for Pathology, Göttingen, Lower Saxony, Germany
| | - Jeannine Missbach-Guentner
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Göttingen, Lower Saxony, Germany
| | - Diana Pinkert-Leetsch
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Göttingen, Lower Saxony, Germany
- Max Planck Institute for Experimental Medicine, Translational Molecular Imaging, Göttingen, Lower Saxony, Germany
| | - Frauke Alves
- University Medical Center Göttingen, Clinic for Hematology and Medical Oncology, Göttingen, Lower Saxony, Germany
- University Medical Center Göttingen, Institute for Diagnostic and Interventional Radiology, Göttingen, Lower Saxony, Germany
- Max Planck Institute for Experimental Medicine, Translational Molecular Imaging, Göttingen, Lower Saxony, Germany
| | - Andreas Bosio
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany
| | - Olaf Hardt
- Miltenyi Biotec GmbH, R&D, Bergisch Gladbach, North Rhine-Westphalia, Germany.
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49
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Lee MW, Miljanic M, Triplett T, Ramirez C, Aung KL, Eckhardt SG, Capasso A. Current methods in translational cancer research. Cancer Metastasis Rev 2021; 40:7-30. [PMID: 32929562 PMCID: PMC7897192 DOI: 10.1007/s10555-020-09931-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/04/2020] [Indexed: 12/22/2022]
Abstract
Recent developments in pre-clinical screening tools, that more reliably predict the clinical effects and adverse events of candidate therapeutic agents, has ushered in a new era of drug development and screening. However, given the rapid pace with which these models have emerged, the individual merits of these translational research tools warrant careful evaluation in order to furnish clinical researchers with appropriate information to conduct pre-clinical screening in an accelerated and rational manner. This review assesses the predictive utility of both well-established and emerging pre-clinical methods in terms of their suitability as a screening platform for treatment response, ability to represent pharmacodynamic and pharmacokinetic drug properties, and lastly debates the translational limitations and benefits of these models. To this end, we will describe the current literature on cell culture, organoids, in vivo mouse models, and in silico computational approaches. Particular focus will be devoted to discussing gaps and unmet needs in the literature as well as current advancements and innovations achieved in the field, such as co-clinical trials and future avenues for refinement.
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Affiliation(s)
- Michael W Lee
- Department of Medical Education, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Mihailo Miljanic
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Todd Triplett
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Craig Ramirez
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Kyaw L Aung
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - S Gail Eckhardt
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Anna Capasso
- Department of Oncology, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
- Livestrong Cancer Institutes, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
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50
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Zhang N, Zhang S, Wu W, Lu W, Jiang M, Zheng N, Huang J, Wang L, Liu H, Zheng M, Wang J. Regorafenib inhibits migration, invasion, and vasculogenic mimicry of hepatocellular carcinoma via targeting ID1-mediated EMT. Mol Carcinog 2021; 60:151-163. [PMID: 33428809 DOI: 10.1002/mc.23279] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/22/2020] [Accepted: 12/28/2020] [Indexed: 12/20/2022]
Abstract
Regorafenib is approved for patients with unresectable hepatocellular carcinoma (HCC) following sorafenib. However, the effect of regorafenib on HCC metastasis and its mechanism are poorly understood. Here, our data showed that regorafenib significantly restrained the migration, invasion and vasculogenic mimicry (VM) of HCC cells, and downregulated the expression of epithelial-to-mesenchymal transition (EMT)/VM-related molecules. Using RNA-seq and cellular thermal shift assays, we found that inhibitor of differentiation 1 (ID1) was a key target of regorafenib. In HCC tissues, the protein expression of ID1 was positively correlated with EMT and VM formation (CD34- /PAS+ ). Functionally, ID1 knockdown inhibited HCC cell migration, invasion, metastasis, and VM formation in vitro and in vivo, with upregulation of E-cadherin and downregulation of Snail and VE-cadherin. Moreover, Snail overexpression promoted the migration, invasion, and VM formation of ID1 knockdown cells. Snail knockdown reduced the migration, invasion, and VM formation of ID1 overexpression cells. Finally, regorafenib suppressed VM formation and decreased the expression of ID1, VE-cadherin and Snail in HCC PDX model. In conclusion, we manifested that regorafenib distinctly inhibited EMT in HCC cells via targeting ID1, leading to the suppression of cell migration, invasion and VM formation. These findings suggest that regorafenib may be developed as a suitable therapeutic agent for HCC metastasis.
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Affiliation(s)
- Nan Zhang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Shaoqin Zhang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Wenda Wu
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Wenxian Lu
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Mingting Jiang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Ning Zheng
- Department of Pharmacology, Fujian Provincial Key Laboratory of Natural Medicine Pharmacology, The School of Pharmacy, Fujian Medical University, Fujian, China
| | - Jing Huang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Long Wang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Hekun Liu
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Min Zheng
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
| | - Jichuang Wang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, The School of Basic Medical Sciences, Fujian Medical University, Fujian, China
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