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Leto SM, Grassi E, Avolio M, Vurchio V, Cottino F, Ferri M, Zanella ER, Borgato S, Corti G, di Blasio L, Somale D, Vara-Messler M, Galimi F, Sassi F, Lupo B, Catalano I, Pinnelli M, Viviani M, Sperti L, Mellano A, Ferrero A, Zingaretti CC, Puliafito A, Primo L, Bertotti A, Trusolino L. XENTURION is a population-level multidimensional resource of xenografts and tumoroids from metastatic colorectal cancer patients. Nat Commun 2024; 15:7495. [PMID: 39209908 PMCID: PMC11362617 DOI: 10.1038/s41467-024-51909-2] [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: 04/26/2023] [Accepted: 08/19/2024] [Indexed: 09/04/2024] Open
Abstract
The breadth and depth at which cancer models are interrogated contribute to the successful clinical translation of drug discovery efforts. In colorectal cancer (CRC), model availability is limited by a dearth of large-scale collections of patient-derived xenografts (PDXs) and paired tumoroids from metastatic disease, where experimental therapies are typically tested. Here we introduce XENTURION, an open-science resource offering a platform of 128 PDX models from patients with metastatic CRC, along with matched PDX-derived tumoroids. Multidimensional omics analyses indicate that tumoroids retain extensive molecular fidelity with parental PDXs. A tumoroid-based trial with the anti-EGFR antibody cetuximab reveals variable sensitivities that are consistent with clinical response biomarkers, mirror tumor growth changes in matched PDXs, and recapitulate EGFR genetic deletion outcomes. Inhibition of adaptive signals upregulated by EGFR blockade increases the magnitude of cetuximab response. These findings illustrate the potential of large living biobanks, providing avenues for molecularly informed preclinical research in oncology.
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Affiliation(s)
| | - Elena Grassi
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Marco Avolio
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Valentina Vurchio
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | | | - Martina Ferri
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | | | - Sofia Borgato
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Giorgio Corti
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Laura di Blasio
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Desiana Somale
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Aptuit, an Evotec Company, Verona, Italy
| | - Marianela Vara-Messler
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
- Sanofi Belgium, Zwijnaarde, Belgium
| | - Francesco Galimi
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Francesco Sassi
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
| | - Barbara Lupo
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Irene Catalano
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
| | - Marika Pinnelli
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Marco Viviani
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Luca Sperti
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Alfredo Mellano
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
| | | | | | - Alberto Puliafito
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Luca Primo
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy
- Department of Oncology, University of Torino, Candiolo, Torino, Italy
| | - Andrea Bertotti
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
- Department of Oncology, University of Torino, Candiolo, Torino, Italy.
| | - Livio Trusolino
- Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
- Department of Oncology, University of Torino, Candiolo, Torino, Italy.
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van der Graaff D, Seghers S, Vanclooster P, Deben C, Vandamme T, Prenen H. Advancements in Research and Treatment Applications of Patient-Derived Tumor Organoids in Colorectal Cancer. Cancers (Basel) 2024; 16:2671. [PMID: 39123399 PMCID: PMC11311786 DOI: 10.3390/cancers16152671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 07/20/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
Colorectal cancer (CRC) remains a significant health burden globally, being the second leading cause of cancer-related mortality. Despite significant therapeutic advancements, resistance to systemic antineoplastic agents remains an important obstacle, highlighting the need for innovative screening tools to tailor patient-specific treatment. This review explores the application of patient-derived tumor organoids (PDTOs), three-dimensional, self-organizing models derived from patient tumor samples, as screening tools for drug resistance in CRC. PDTOs offer unique advantages over traditional models by recapitulating the tumor architecture, cellular heterogeneity, and genomic landscape and are a valuable ex vivo predictive drug screening tool. This review provides an overview of the current literature surrounding the use of PDTOs as an instrument for predicting therapy responses in CRC. We also explore more complex models, such as co-cultures with important stromal cells, such as cancer-associated fibroblasts, and organ-on-a-chip models. Furthermore, we discuss the use of PDTOs for drug repurposing, offering a new approach to identify the existing drugs effective against drug-resistant CRC. Additionally, we explore how PDTOs serve as models to gain insights into drug resistance mechanisms, using newer techniques, such as single-cell RNA sequencing and CRISPR-Cas9 genome editing. Through this review, we aim to highlight the potential of PDTOs in advancing our understanding of predicting therapy responses, drug resistance, and biomarker identification in CRC management.
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Affiliation(s)
| | - Sofie Seghers
- Department of Medical Oncology, University Hospital Antwerp, 2650 Edegem, Belgium
- Center for Oncological Research (CORE), University of Antwerp, 2610 Wilrijk, Belgium
| | | | - Christophe Deben
- Center for Oncological Research (CORE), University of Antwerp, 2610 Wilrijk, Belgium
| | - Timon Vandamme
- Department of Medical Oncology, University Hospital Antwerp, 2650 Edegem, Belgium
- Center for Oncological Research (CORE), University of Antwerp, 2610 Wilrijk, Belgium
| | - Hans Prenen
- Department of Medical Oncology, University Hospital Antwerp, 2650 Edegem, Belgium
- Center for Oncological Research (CORE), University of Antwerp, 2610 Wilrijk, Belgium
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Fang H, Xu H, Yu J, Cao H, Li L. Human Hepatobiliary Organoids: Recent Advances in Drug Toxicity Verification and Drug Screening. Biomolecules 2024; 14:794. [PMID: 39062508 PMCID: PMC11274902 DOI: 10.3390/biom14070794] [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: 05/02/2024] [Revised: 06/08/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
Many drug and therapeutic modalities have emerged over the past few years. However, successful commercialization is dependent on their safety and efficacy evaluations. Several preclinical models are available for drug-screening and safety evaluations, including cellular- and molecular-level models, tissue and organoid models, and animal models. Organoids are three-dimensional cell cultures derived from primary tissues or stem cells that are structurally and functionally similar to the original organs and can self-renew, and they are used to establish various disease models. Human hepatobiliary organoids have been used to study the pathogenesis of diseases, such as hepatitis, liver fibrosis, hepatocellular carcinoma, primary sclerosing cholangitis and biliary tract cancer, as they retain the physiological and histological characteristics of the liver and bile ducts. Here, we review recent research progress in validating drug toxicity, drug screening and personalized therapy for hepatobiliary-related diseases using human hepatobiliary organoid models, discuss the challenges encountered in current research and evaluate the possible solutions.
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Affiliation(s)
- Haoyu Fang
- Department of Pathology and Pathophysiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, China;
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China; (J.Y.); (L.L.)
| | - Haoying Xu
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China;
| | - Jiong Yu
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China; (J.Y.); (L.L.)
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China;
- Zhejiang Key Laboratory for Diagnosis and Treatment of Physic-Chemical and Aging-Related Injuries, 79 Qingchun Rd., Hangzhou 310003, China
| | - Hongcui Cao
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China; (J.Y.); (L.L.)
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China;
- Zhejiang Key Laboratory for Diagnosis and Treatment of Physic-Chemical and Aging-Related Injuries, 79 Qingchun Rd., Hangzhou 310003, China
| | - Lanjuan Li
- Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China; (J.Y.); (L.L.)
- State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou 310003, China;
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Liu N, Liu S, Xu X, Nong X, Chen H. Organoids as an in vitro model to study human tumors and bacteria. J Surg Oncol 2024; 129:1390-1400. [PMID: 38534036 DOI: 10.1002/jso.27626] [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: 03/04/2024] [Accepted: 03/08/2024] [Indexed: 03/28/2024]
Abstract
Organoids faithfully replicate the morphological structure, physiological functions, stable phenotype of the source tissue. Recent research indicates that bacteria can significantly influence the initiation, advancement, and treatment of tumors. This article provides a comprehensive review of the applications of organoid technology in tumor research, the relationship between bacteria and the genesis and development of tumors, and the exploration of the impact of bacteria on tumors and their applications in research.
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Affiliation(s)
- Naiyu Liu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shuxi Liu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaoyue Xu
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - XianXian Nong
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Hong Chen
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Guangxi Medical University, Nanning, China
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5
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Finnegan E, Ding W, Ude Z, Terer S, McGivern T, Blümel AM, Kirwan G, Shao X, Genua F, Yin X, Kel A, Fattah S, Myer PA, Cryan SA, Prehn JHM, O'Connor DP, Brennan L, Yochum G, Marmion CJ, Das S. Complexation of histone deacetylase inhibitor belinostat to Cu(II) prevents premature metabolic inactivation in vitro and demonstrates potent anti-cancer activity in vitro and ex vivo in colon cancer. Cell Oncol (Dordr) 2024; 47:533-553. [PMID: 37934338 PMCID: PMC11090832 DOI: 10.1007/s13402-023-00882-x] [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] [Accepted: 09/19/2023] [Indexed: 11/08/2023] Open
Abstract
PURPOSE The histone deacetylase inhibitor (HDACi), belinostat, has had limited therapeutic impact in solid tumors, such as colon cancer, due to its poor metabolic stability. Here we evaluated a novel belinostat prodrug, copper-bis-belinostat (Cubisbel), in vitro and ex vivo, designed to overcome the pharmacokinetic challenges of belinostat. METHODS The in vitro metabolism of each HDACi was evaluated in human liver microsomes (HLMs) using mass spectrometry. Next, the effect of belinostat and Cubisbel on cell growth, HDAC activity, apoptosis and cell cycle was assessed in three colon cancer cell lines. Gene expression alterations induced by both HDACis were determined using RNA-Seq, followed by in silico analysis to identify master regulators (MRs) of differentially expressed genes (DEGs). The effect of both HDACis on the viability of colon cancer patient-derived tumor organoids (PDTOs) was also examined. RESULTS Belinostat and Cubisbel significantly reduced colon cancer cell growth mediated through HDAC inhibition and apoptosis induction. Interestingly, the in vitro half-life of Cubisbel was significantly longer than belinostat. Belinostat and its Cu derivative commonly dysregulated numerous signalling and metabolic pathways while genes downregulated by Cubisbel were potentially controlled by VEGFA, ERBB2 and DUSP2 MRs. Treatment of colon cancer PDTOs with the HDACis resulted in a significant reduction in cell viability and downregulation of stem cell and proliferation markers. CONCLUSIONS Complexation of belinostat to Cu(II) does not alter the HDAC activity of belinostat, but instead significantly enhances its metabolic stability in vitro and targets anti-cancer pathways by perturbing key MRs in colon cancer. Complexation of HDACis to a metal ion might improve the efficacy of clinically used HDACis in patients with colon cancer.
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Affiliation(s)
- Ellen Finnegan
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Wei Ding
- Department of Surgery, Division of Colon & Rectal Surgery, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, 17036, USA
| | - Ziga Ude
- Department of Chemistry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Sara Terer
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Tadhg McGivern
- Department of Chemistry, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Anna M Blümel
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Grainne Kirwan
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Xinxin Shao
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Flavia Genua
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Xiaofei Yin
- UCD School of Agriculture and Food Science, UCD Conway Institute, Belfield, University College Dublin, Dublin, Ireland
| | - Alexander Kel
- GeneXplain GmbH, Wolfenbuettel, Germany
- BIOSOFT.RU, LLC, Novosibirsk, Russia
- Institute of Chemical Biology and Fundamental Medicine SBRAS, Novosibirsk, Russia
| | - Sarinj Fattah
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Parvathi A Myer
- Montefiore Medical Center, Albert Einstein Cancer Center, Bronx, NY, USA
| | - Sally-Ann Cryan
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Jochen H M Prehn
- Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Darran P O'Connor
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, UCD Conway Institute, Belfield, University College Dublin, Dublin, Ireland
| | - Gregory Yochum
- Department of Surgery, Division of Colon & Rectal Surgery, Milton S. Hershey Medical Center, The Pennsylvania State University, Hershey, PA, 17036, USA
- Department of Biochemistry & Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA, 17036, USA
| | - Celine J Marmion
- Department of Chemistry, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
| | - Sudipto Das
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
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Jose A, Kulkarni P, Thilakan J, Munisamy M, Malhotra AG, Singh J, Kumar A, Rangnekar VM, Arya N, Rao M. Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery and precision medicine. Mol Cancer 2024; 23:50. [PMID: 38461268 PMCID: PMC10924370 DOI: 10.1186/s12943-023-01916-6] [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: 08/05/2023] [Accepted: 12/15/2023] [Indexed: 03/11/2024] Open
Abstract
Despite advancements in treatment protocols, cancer is one of the leading cause of deaths worldwide. Therefore, there is a need to identify newer and personalized therapeutic targets along with screening technologies to combat cancer. With the advent of pan-omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, and lipidomics, the scientific community has witnessed an improved molecular and metabolomic understanding of various diseases, including cancer. In addition, three-dimensional (3-D) disease models have been efficiently utilized for understanding disease pathophysiology and as screening tools in drug discovery. An integrated approach utilizing pan-omics technologies and 3-D in vitro tumor models has led to improved understanding of the intricate network encompassing various signalling pathways and molecular cross-talk in solid tumors. In the present review, we underscore the current trends in omics technologies and highlight their role in understanding genotypic-phenotypic co-relation in cancer with respect to 3-D in vitro tumor models. We further discuss the challenges associated with omics technologies and provide our outlook on the future applications of these technologies in drug discovery and precision medicine for improved management of cancer.
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Affiliation(s)
- Anmi Jose
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Pallavi Kulkarni
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Jaya Thilakan
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Murali Munisamy
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Anvita Gupta Malhotra
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Jitendra Singh
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Ashok Kumar
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Vivek M Rangnekar
- Markey Cancer Center and Department of Radiation Medicine, University of Kentucky, Lexington, KY, 40536, USA
| | - Neha Arya
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India.
| | - Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Ma X, Wang Q, Li G, Li H, Xu S, Pang D. Cancer organoids: A platform in basic and translational research. Genes Dis 2024; 11:614-632. [PMID: 37692477 PMCID: PMC10491878 DOI: 10.1016/j.gendis.2023.02.052] [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: 05/14/2022] [Accepted: 02/16/2023] [Indexed: 09/12/2023] Open
Abstract
An accumulation of previous work has established organoids as good preclinical models of human tumors, facilitating translation from basic research to clinical practice. They are changing the paradigm of preclinical cancer research because they can recapitulate the heterogeneity and pathophysiology of human cancers and more closely approximate the complex tissue environment and structure found in clinical tumors than in vitro cell lines and animal models. However, the potential applications of cancer organoids remain to be comprehensively summarized. In the review, we firstly describe what is currently known about cancer organoid culture and then discuss in depth the basic mechanisms, including tumorigenesis and tumor metastasis, and describe recent advances in patient-derived tumor organoids (PDOs) for drug screening and immunological studies. Finally, the present challenges faced by organoid technology in clinical practice and its prospects are discussed. This review highlights that organoids may offer a novel therapeutic strategy for cancer research.
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Affiliation(s)
- Xin Ma
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
| | - Qin Wang
- Sino-Russian Medical Research Center, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang 150086, China
- Department of Pharmacology (The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), College of Pharmacy of Harbin Medical University, Harbin, Heilongjiang 150086, China
| | - Guozheng Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
| | - Hui Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
| | - Shouping Xu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang 150086, China
| | - Da Pang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Sino-Russian Medical Research Center, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang 150086, China
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Radomski SN, Dunworth M, West JJ, Greer JB, Johnston FM, Ewald AJ. Intra- and Interpatient Drug Response Heterogeneity Exist in Patients Undergoing Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy for Nongynecologic Cancers. Ann Surg Oncol 2024; 31:1996-2007. [PMID: 38175427 DOI: 10.1245/s10434-023-14696-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 11/16/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Select patients with peritoneal metastases are treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC). We assayed for intra- and interpatient drug response heterogeneity through testing of patient-derived tumor organoids (PDTOs). METHODS PDTOs were generated from CRS/HIPEC patients from December 2021 to September 2022 and subjected to an in vitro HIPEC drug screen. Drug response was assessed with a cell viability assay and cleaved caspase-3 staining. RESULTS A total of 31 patients were consented for tissue collection. Viable tissue was harvested from 23, and PDTO generation was successful in 13 (56%). PDTOs were analyzed from six appendiceal, three colorectal, two small bowel, one gastric, and one adrenal tumor. Drug screen results were generated in as few as 7 days (62%), with an average time of 12 days. Most patients received mitomycin-C (MMC) intraoperatively (n = 9); however, in only three cases was this agent considered the optimal choice in vitro. Three sets of PDTOs were resistant (defined as > 50% PDTO viability) to all agents tested and two were pan-sensitive (defined as 3 or more agents with < 50% PDTO viability). In three patients, organoids were generated from multiple metastatic sites and intrapatient drug response heterogeneity was observed. CONCLUSIONS Both intra- and interpatient drug response heterogeneity exist in patients undergoing CRS/HIPEC for nongynecologic abdominal cancers. Caution must be used when interpreting patient response to chemotherapeutic agents based on a single site of testing in those with metastatic disease.
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Affiliation(s)
- Shannon N Radomski
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Matthew Dunworth
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Junior J West
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan B Greer
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fabian M Johnston
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Andrew J Ewald
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA.
- Giovanis Institute for Translational Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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9
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Cheng F, Li P, Xu S, Zhang C, Liang H, Ding Z. A pair of primary colorectal cancer-derived and corresponding synchronous liver metastasis-derived organoid cell lines. Aging (Albany NY) 2024; 16:4396-4422. [PMID: 38407980 PMCID: PMC10968669 DOI: 10.18632/aging.205595] [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: 10/27/2023] [Accepted: 01/29/2024] [Indexed: 02/28/2024]
Abstract
Proper preclinical models for the research of colorectal cancer (CRC) and CRC liver metastases (CLM) are a clear and unmet need. Patient-derived organoids have recently emerged as a robust preclinical model, but are not available to all scientific researchers. Here, we present paired 3D organoid cell lines of CWH22 (CRC-derived) and CLM22 (CLM-derived) with sound background information and the short tandem repeats are identical to those of the normal tissue. Morphological and immunohistochemical staining, along with whole-exome sequencing (WES), confirmed that the organoids exhibited the same differentiation, molecular expression, and mutation status as the corresponding tumor tissue. Both organoids possessed mutated APC/KRAS/SMAD4/CDKN1B/KMT2C genes and wild-type TP53 and PIK3CA; stably secreted the tumor markers CEA and CA19-9, and possessed sound proliferation rates in vitro, as well as subcutaneous tumorigenicity and liver metastatic abilities in vivo. IC50 assays confirmed that both cell lines were sensitive to 5-fluorouracil, oxaliplatin, SN-38, and sotorasib. WES and karyotype analyses revealed the genomic instability status as chromosome instability. The corresponding adherent cultured CWH22-2D/CLM22-2D cells were established and compared with commonly used CRC cell lines from the ATCC. Both organoids are publicly available to all researchers and will be useful tools for specific human CRC/CLM studies both in vitro and in vivo.
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Affiliation(s)
- Fangling Cheng
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan 430030, China
| | - Pengcheng Li
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan 430030, China
| | - Sanpeng Xu
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Chao Zhang
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huifang Liang
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan 430030, China
| | - Zeyang Ding
- Hepatic Surgery Centre, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Hubei Key Laboratory of Hepato-Pancreato-Biliary Diseases, Wuhan 430030, China
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10
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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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11
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Tan T, Mouradov D, Lee M, Gard G, Hirokawa Y, Li S, Lin C, Li F, Luo H, Wu K, Palmieri M, Leong E, Clarke J, Sakthianandeswaren A, Brasier H, Tie J, Tebbutt NC, Jalali A, Wong R, Burgess AW, Gibbs P, Sieber OM. Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer. Cell Rep Med 2023; 4:101335. [PMID: 38118423 PMCID: PMC10783557 DOI: 10.1016/j.xcrm.2023.101335] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/11/2023] [Accepted: 11/18/2023] [Indexed: 12/22/2023]
Abstract
Predictive drug testing of patient-derived tumor organoids (PDTOs) holds promise for personalizing treatment of metastatic colorectal cancer (mCRC), but prospective data are limited to chemotherapy regimens with conflicting results. We describe a unified framework for PDTO-based predictive testing across standard-of-care chemotherapy and biologic and targeted therapy options. In an Australian community cohort, PDTO predictions based on treatment-naive patients (n = 56) and response rates from first-line mCRC clinical trials achieve 83% accuracy for forecasting responses in patients receiving palliative treatments (18 patients, 29 treatments). Similar assay accuracy is achieved in a prospective study of third-line or later mCRC treatment, AGITG FORECAST-1 (n = 30 patients). "Resistant" predictions are associated with inferior progression-free survival; misclassification rates are similar by regimen. Liver metastases are the optimal site for sampling, with testing achievable within 7 weeks for 68.8% cases. Our findings indicate that PDTO drug panel testing can provide predictive information for multifarious standard-of-care therapies for mCRC.
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Affiliation(s)
- Tao Tan
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Dmitri Mouradov
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Margaret Lee
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia; Department of Medical Oncology, Eastern Health, Box Hill, VIC 3128, Australia; Eastern Health Clinical School, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Box Hill, VIC 3128, Australia
| | - Grace Gard
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia
| | - Yumiko Hirokawa
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Shan Li
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Cong Lin
- HIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Fuqiang Li
- HIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Huijuan Luo
- HIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Kui Wu
- HIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou 310000, China; Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI Research, Shenzhen 518083, China
| | - Michelle Palmieri
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Evelyn Leong
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Jordan Clarke
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Anuratha Sakthianandeswaren
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Helen Brasier
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia
| | - Jeanne Tie
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia
| | - Niall C Tebbutt
- Department of Medical Oncology, Olivia Newton-John Cancer Wellness & Research Centre, Austin Health, Heidelberg, VIC 3084, Australia
| | - Azim Jalali
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia; Department of Cancer Services, Latrobe Regional Hospital, Traralogon, VIC 3844, Australia; Department of Medical Oncology, The Northern Hospital, Epping, VIC 3076, Australia
| | - Rachel Wong
- Department of Medical Oncology, Eastern Health, Box Hill, VIC 3128, Australia; Eastern Health Clinical School, Faculty of Medicine, Nursing, and Health Sciences, Monash University, Box Hill, VIC 3128, Australia
| | - Antony W Burgess
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Surgery, The University of Melbourne, Parkville, VIC 3050, Australia
| | - Peter Gibbs
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Medical Oncology, Western Health, Footscray, VIC 3011, Australia
| | - Oliver M Sieber
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3052, Australia; Department of Surgery, The University of Melbourne, Parkville, VIC 3050, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia.
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12
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Gao J, Lan J, Liao H, Yang F, Qiu P, Jin F, Wang S, Shen L, Chao T, Zhang C, Zhu Y. Promising preclinical patient-derived organoid (PDO) and xenograft (PDX) models in upper gastrointestinal cancers: progress and challenges. BMC Cancer 2023; 23:1205. [PMID: 38062430 PMCID: PMC10702130 DOI: 10.1186/s12885-023-11434-9] [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: 04/25/2023] [Accepted: 09/22/2023] [Indexed: 12/18/2023] Open
Abstract
Gastrointestinal (GI) cancers (gastric cancer, oesophageal cancer, liver cancer, colorectal cancer, etc.) are the most common cancers with the highest morbidity and mortality in the world. The therapy for most GI cancers is difficult and is associated with a poor prognosis. In China, upper GI cancers, mainly gastric cancer (GC) and oesophageal cancer (EC), are very common due to Chinese people's characteristics, and more than half of patients are diagnosed with distant metastatic or locally advanced disease. Compared to other solid cancers, such as lung cancer and breast cancer, personalized therapies, especially targeted therapy and immunotherapy, in GC and EC are relatively lacking, leading to poor prognosis. For a long time, most studies were carried out by using in vitro cancer cell lines or in vivo cell line-derived xenograft models, which are unable to reproduce the characteristics of tumours derived from patients, leading to the possible misguidance of subsequent clinical validation. The patient-derived models represented by patient-derived organoid (PDO) and xenograft (PDX) models, known for their high preservation of patient tumour features, have emerged as a very popular platform that has been widely used in numerous studies, especially in the research and development of antitumour drugs and personalized medicine. Herein, based on some of the available published literature, we review the research and application status of PDO and PDX models in GC and EC, as well as detail their future challenges and prospects, to promote their use in basic and translational studies or personalized therapy.
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Affiliation(s)
- Jing Gao
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Jianqiang Lan
- Guangdong Research Center of Organoid Engineering and Technology, No. 11 Kaiyuan Avenue, Huangpu District, Guangzhou, China
| | - Haiyan Liao
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Fang Yang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Pei Qiu
- Guangdong Research Center of Organoid Engineering and Technology, No. 11 Kaiyuan Avenue, Huangpu District, Guangzhou, China
| | - Feng Jin
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Shubin Wang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Lin Shen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Haidian District, Beijing, China
| | - Tengfei Chao
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, China.
| | - Cheng Zhang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Haidian District, Beijing, China.
| | - Yu Zhu
- Guangdong Research Center of Organoid Engineering and Technology, No. 11 Kaiyuan Avenue, Huangpu District, Guangzhou, China.
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13
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Yu Y, Zhou T, Cao L. Use and application of organ-on-a-chip platforms in cancer research. J Cell Commun Signal 2023:10.1007/s12079-023-00790-7. [PMID: 38032444 DOI: 10.1007/s12079-023-00790-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 10/31/2023] [Indexed: 12/01/2023] Open
Abstract
Tumors are a major cause of death worldwide, and much effort has been made to develop appropriate anti-tumor therapies. Existing in vitro and in vivo tumor models cannot reflect the critical features of cancer. The development of organ-on-a-chip models has enabled the integration of organoids, microfluidics, tissue engineering, biomaterials research, and microfabrication, offering conditions that mimic tumor physiology. Three-dimensional in vitro human tumor models that have been established as organ-on-a-chip models contain multiple cell types and a structure that is similar to the primary tumor. These models can be applied to various foci of oncology research. Moreover, the high-throughput features of microfluidic organ-on-a-chip models offer new opportunities for achieving large-scale drug screening and developing more personalized treatments. In this review of the literature, we explore the development of organ-on-a-chip technology and discuss its use as an innovative tool in basic and clinical applications and summarize its advancement of cancer research.
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Affiliation(s)
- Yifan Yu
- Department of Hepatobiliary and Transplant Surgery, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - TingTing Zhou
- The College of Basic Medical Science, Health Sciences Institute, Key Laboratory of Cell Biology of Ministry of Public Health, Key Laboratory of Medical Cell Biology of Ministry of Education, Liaoning Province Collaborative Innovation Center of Aging Related Disease Diagnosis and Treatment and Prevention, China Medical University, No. 77, Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China
| | - Liu Cao
- The College of Basic Medical Science, Health Sciences Institute, Key Laboratory of Cell Biology of Ministry of Public Health, Key Laboratory of Medical Cell Biology of Ministry of Education, Liaoning Province Collaborative Innovation Center of Aging Related Disease Diagnosis and Treatment and Prevention, China Medical University, No. 77, Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning, China.
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14
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Li N, Zhu Q, Tian Y, Ahn KJ, Wang X, Cramer Z, Jou J, Folkert IW, Yu P, Adams-Tzivelekidis S, Sehgal P, Mahmoud NN, Aarons CB, Roses RE, Thomas-Tikhonenko A, Furth EE, Stanger BZ, Rustgi A, Haldar M, Katona BW, Tan K, Lengner CJ. Mapping and modeling human colorectal carcinoma interactions with the tumor microenvironment. Nat Commun 2023; 14:7915. [PMID: 38036590 PMCID: PMC10689473 DOI: 10.1038/s41467-023-43746-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 11/17/2023] [Indexed: 12/02/2023] Open
Abstract
The initiation and progression of cancer are intricately linked to the tumor microenvironment (TME). Understanding the function of specific cancer-TME interactions poses a major challenge due in part to the complexity of the in vivo microenvironment. Here we predict cancer-TME interactions from single cell transcriptomic maps of both human colorectal cancers (CRCs) and mouse CRC models, ask how these interactions are altered in human tumor organoid (tumoroid) cultures, and functionally recapitulate human myeloid-carcinoma interactions in vitro. Tumoroid cultures suppress gene expression programs involved in inflammation and immune cell migration, providing a reductive platform for re-establishing carcinoma-immune cell interactions in vitro. Introduction of human monocyte-derived macrophages into tumoroid cultures instructs macrophages to acquire immunosuppressive and pro-tumorigenic gene expression programs similar to those observed in vivo. This includes hallmark induction of SPP1, encoding Osteopontin, an extracellular CD44 ligand with established oncogenic effects. Taken together, these findings offer a framework for understanding CRC-TME interactions and provide a reductionist tool for modeling specific aspects of these interactions.
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Affiliation(s)
- Ning Li
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Qin Zhu
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Yuhua Tian
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kyung Jin Ahn
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Xin Wang
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zvi Cramer
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Justine Jou
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ian W Folkert
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Pengfei Yu
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Stephanie Adams-Tzivelekidis
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Priyanka Sehgal
- Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Najia N Mahmoud
- Division of Colorectal Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Cary B Aarons
- Division of Colorectal Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Robert E Roses
- Division of Endocrine and Oncologic Surgery, Department of Surgery, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Andrei Thomas-Tikhonenko
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Division of Cancer Pathobiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Emma E Furth
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ben Z Stanger
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Anil Rustgi
- Division of Digestive and Liver Diseases, Department of Medicine, Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York City, NY, 10032, USA
| | - Malay Haldar
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Bryson W Katona
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kai Tan
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
| | - Christopher J Lengner
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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15
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Zhang Y, Huo J, Yu S, Feng W, Tuersun A, Chen F, Lv Z, Liu W, Zhao J, Xu Z, Lu A, Zong Y. Colorectal cancer tissue-originated spheroids reveal tumor intrinsic signaling pathways and mimic patient clinical chemotherapeutic response as a rapid and valid model. Biomed Pharmacother 2023; 167:115585. [PMID: 37774672 DOI: 10.1016/j.biopha.2023.115585] [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: 07/19/2023] [Revised: 09/23/2023] [Accepted: 09/25/2023] [Indexed: 10/01/2023] Open
Abstract
Locally advanced colorectal cancer requires preoperative chemotherapy to reduce local recurrence and metastasis rates, but it remains difficult to predict the tumor will be sensitive to which treatments. The patient-derived organoids (PDOs) are considered an effective platform for predicting tumor drug responses in precision oncology. However, it has the limitation of being time-consuming in practical applications, especially in neoadjuvant treatment. Here we used cancer tissue-originated spheroids (CTOS) method to establish organoids from a heterogeneous population of colorectal cancer specimens, and evaluated the capacity of CTOS to predict clinical drug responses. By analyzing the relationship of the activities of drug-treated CTOS, drug targets and target-related pathways, tumor intrinsic effective-target-related pathways can be identified. These pathways were highly matched to the abnormal pathways indicated by whole-exome sequencing. Based on this, we used half effective concentration gradients to classify CTOS as sensitive or resistant to chemotherapy regimens within a week, for predicting neoadjuvant treatment outcomes for colorectal cancer patients. The drug sensitivity test results are highly matched to the clinical responses to treatment in individual patients. Thus, our data suggested that CTOS models can be effectively screened ex vivo to identify pathways sensitive to chemotherapies. These data also supported organoid research for personalized clinical medication guidance immediately after diagnosis in patients with advanced colorectal cancer.
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Affiliation(s)
- Yuchen Zhang
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jianting Huo
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Suyue Yu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wenqing Feng
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Abudumaimaitijiang Tuersun
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fangqian Chen
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zeping Lv
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wangyi Liu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingkun Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhuoqing Xu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Aiguo Lu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Yaping Zong
- Department of General Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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16
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Zhao DK, Liang J, Huang XY, Shen S, Wang J. Organoids technology for advancing the clinical translation of cancer nanomedicine. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2023; 15:e1892. [PMID: 37088100 DOI: 10.1002/wnan.1892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/13/2023] [Accepted: 02/15/2023] [Indexed: 04/25/2023]
Abstract
The past decades have witnessed the rapid development and widespread application of nanomedicines in cancer treatment; however, the clinical translation of experimental findings has been low, as evidenced by the low percentage of commercialized nanomedicines. Incomplete understanding of nanomedicine-tumor interactions and inappropriate evaluation models are two important challenges limiting the clinical translation of cancer nanomedicines. Currently, nanomedicine-tumor interaction and therapeutic effects are mainly investigated using cell lines or mouse models, which do not recapitulate the complex tumor microenvironment in human patients. Thus, information obtained from cell lines and mouse models cannot provide adequate guidance for the rational redesign of nanomedicine. Compared with other preclinical models, tumor organoids constructed from patient-derived tumor tissues are superior in retaining the key histopathological, genetic, and phenotypic features of the parent tumor. We speculate that organoid technology would help elucidate nanomedicine-tumor interaction in the tumor microenvironment and guide the design of nanomedicine, making it a reliable tool to accurately predict drug responses in patients with cancer. This review highlighted the advantages of drug delivery systems in cancer treatment, challenges limiting the clinical translation of antitumor nanomedicines, and potential application of patient-derived organoids (PDO) in nanomedicine. We propose that combining organoids and nanotechnology would facilitate the development of safe and effective cancer nanomedicines and accelerate their clinical application. This review discussed the potential translational value of integrative research using organoids and cancer nanomedicine. This article is categorized under: Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease.
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Affiliation(s)
- Dong-Kun Zhao
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
| | - Jie Liang
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
- Shenzhen Bay Laboratory, Shenzhen, China
| | - Xiao-Yi Huang
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Song Shen
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
| | - Jun Wang
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China
- Key Laboratory of Biomedical Engineering of Guangdong Province, and Innovation Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China
- Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou, China
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17
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Erali RA, Forsythe SD, Gironda DJ, Schaaf CR, Wajih N, Soker S, Votanopoulos KI. Utilizing Patient-Derived Organoids in the Management of Colorectal Cancer with Peritoneal Metastases: A Review of Current Literature. J Gastrointest Cancer 2023; 54:712-719. [PMID: 36447085 DOI: 10.1007/s12029-022-00891-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2022] [Indexed: 12/02/2022]
Abstract
INTRODUCTION Treatment of colorectal cancer-derived peritoneal carcinomatosis (CRC-PC) is challenging due to cellular heterogeneity that exhibits variable degrees of resistance to systemic as well as intraperitoneal chemotherapy. Therefore, it is not a surprise that the majority of patients undergoing cytoreductive surgery with HIPEC will experience recurrence. Patient-derived tumor organoids (PTOs) may be potentially capable of informing clinical treatment decisions at the level of the individual patient. In this study, we review the current landscape of CRC-PC PTO literature. METHODS PubMed was queried for peer-reviewed publications studying CRC-PC organoids. Original articles which harnessed organoids as a research platform to study CRC-PC were included for review. Xenograft organoid studies were excluded. RESULTS A total of 5 articles met inclusion criteria published between 2017 and 2022 and underwent complete analysis. Study topics included optimization of current therapies, identification of novel drug applications, and identification of disease mechanisms. Current therapies studied included systemic chemotherapy, targeted inhibitors, and HIPEC regimens. CONCLUSIONS Patient-derived tumor organoids are a valuable personalized research tool that can complement real-time clinical settings. Additional research is needed to optimize methodologies of organoid incorporation in patients with colorectal cancer with peritoneal carcinomatosis.
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Affiliation(s)
- Richard A Erali
- Wake Forest Organoid Research Center (WFORCE), Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
- Wake Forest Institute of Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Division of Surgical Oncology, Department of Surgery, Wake Forest University School of Medicine, Atrium Health Wake Forest Baptist, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Steven D Forsythe
- Wake Forest Organoid Research Center (WFORCE), Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
- Wake Forest Institute of Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Daniel J Gironda
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Cecilia R Schaaf
- Wake Forest Organoid Research Center (WFORCE), Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
- Wake Forest Institute of Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Comparative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Nadeem Wajih
- Wake Forest Organoid Research Center (WFORCE), Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
- Wake Forest Institute of Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Shay Soker
- Wake Forest Organoid Research Center (WFORCE), Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA
- Wake Forest Institute of Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Konstantinos I Votanopoulos
- Wake Forest Organoid Research Center (WFORCE), Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
- Wake Forest Institute of Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
- Division of Surgical Oncology, Department of Surgery, Wake Forest University School of Medicine, Atrium Health Wake Forest Baptist, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA.
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18
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Wang RC, Wang Z. Precision Medicine: Disease Subtyping and Tailored Treatment. Cancers (Basel) 2023; 15:3837. [PMID: 37568653 PMCID: PMC10417651 DOI: 10.3390/cancers15153837] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
The genomics-based concept of precision medicine began to emerge following the completion of the Human Genome Project. In contrast to evidence-based medicine, precision medicine will allow doctors and scientists to tailor the treatment of different subpopulations of patients who differ in their susceptibility to specific diseases or responsiveness to specific therapies. The current precision medicine model was proposed to precisely classify patients into subgroups sharing a common biological basis of diseases for more effective tailored treatment to achieve improved outcomes. Precision medicine has become a term that symbolizes the new age of medicine. In this review, we examine the history, development, and future perspective of precision medicine. We also discuss the concepts, principles, tools, and applications of precision medicine and related fields. In our view, for precision medicine to work, two essential objectives need to be achieved. First, diseases need to be classified into various subtypes. Second, targeted therapies must be available for each specific disease subtype. Therefore, we focused this review on the progress in meeting these two objectives.
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Affiliation(s)
- Richard C. Wang
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;
| | - Zhixiang Wang
- Department of Medical Genetics, Faculty of Medicine and Dentistry, College of Health Sciences, University of Alberta, Edmonton, AB T6J 5H4, Canada
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19
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Tang Y, Wang T, Hu Y, Ji H, Yan B, Hu X, Zeng Y, Hao Y, Xue W, Chen Z, Lan J, Wang Y, Deng H, Deng C, Wu X, Yan J. Cutoff value of IC 50 for drug sensitivity in patient-derived tumor organoids in colorectal cancer. iScience 2023; 26:107116. [PMID: 37426352 PMCID: PMC10329174 DOI: 10.1016/j.isci.2023.107116] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 02/21/2023] [Accepted: 06/09/2023] [Indexed: 07/11/2023] Open
Abstract
Patient-derived tumor organoids (PDTOs) have the potential to be used to predict the patient response to chemotherapy. However, the cutoff value of the half-maximal inhibition concentration (IC50) for PDTO drug sensitivity has not been validated with clinical cohort data. We established PDTOs and performed a drug test in 277 samples from 242 CRC patients who received FOLFOX or XELOX chemotherapy. After follow-up and comparison of the PDTO drug test and final clinical outcome results, the optimal IC50 cutoff value for PDTO drug sensitivity was 43.26 μmol/L. This PDTO drug test-defined cutoff value could predict patient response with 75.36% sensitivity, 74.68% specificity, and 75% accuracy. Moreover, this value distinguished groups of patients with significant differences in survival benefit. Our study is the first to define the IC50 cutoff value for the PDTO drug test to effectively distinguish CRC patients with chemosensitivity or nonsensitivity and predict survival benefits.
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Affiliation(s)
- Yuting Tang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Ting Wang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yaowen Hu
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Hongli Ji
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Botao Yan
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Xiarong Hu
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yunli Zeng
- Department of Oncology, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Yifan Hao
- Department of Oncology, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Weisong Xue
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Zexin Chen
- Accurate International Biotechnology Limited Company, Guangzhou, Guangdong 510515, P.R. China
| | - Jianqiang Lan
- Accurate International Biotechnology Limited Company, Guangzhou, Guangdong 510515, P.R. China
| | - Yanan Wang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Haijun Deng
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
| | - Chuxia Deng
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau, SAR of P.R. China
| | - Xiufeng Wu
- Department of Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, P.R. China
| | - Jun Yan
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong 510515, P.R. China
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20
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Betge J, Jackstadt R. From organoids to bedside: Advances in modeling, decoding and targeting of colorectal cancer. Int J Cancer 2023; 152:1304-1313. [PMID: 36121667 DOI: 10.1002/ijc.34297] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/25/2022] [Accepted: 09/13/2022] [Indexed: 02/03/2023]
Abstract
Patient derived organoids closely resemble the biology of tissues and tumors. They are enabling ex vivo modeling of human diseases and dissecting key features of tumor biology like anatomical diversity or inter- and intra-tumoral heterogeneity. In the last years, organoids were established as models for drug discovery and explored to guide clinical decision making. In this review, we discuss the recent developments in organoid based research, elaborating on the developments in colorectal cancer as a prime example. We focus our review on the role of organoids to decode cancer cell dynamics and tumor microenvironmental complexity with the underlying bi-directional crosstalk. Additionally, advancements in the development of living biobanks, screening approaches, organoid based precision medicine and challenges of co-clinical trials are highlighted. We discuss ongoing efforts to overcome challenges that the field faces and indicate potential future directions.
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Affiliation(s)
- Johannes Betge
- Junior Clinical Cooperation Unit Translational Gastrointestinal Oncology and Preclinical Models, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.,DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany
| | - Rene Jackstadt
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM gGmbH), Heidelberg, Germany.,Cancer Progression and Metastasis Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
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21
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Zhu J, Ji L, Chen Y, Li H, Huang M, Dai Z, Wang J, Xiang D, Fu G, Lei Z, Chu X. Organoids and organs-on-chips: insights into predicting the efficacy of systemic treatment in colorectal cancer. Cell Death Discov 2023; 9:72. [PMID: 36813783 PMCID: PMC9947255 DOI: 10.1038/s41420-023-01354-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/18/2023] [Accepted: 01/30/2023] [Indexed: 02/24/2023] Open
Abstract
Cancer heterogeneity has posed a great challenge to traditional cancer treatment, with the reappearance of cancer heterogeneity of inter and intra patients being especially critical. Based on this, personalized therapy has emerged as significant research focus in recent and even future years. Cancer-related therapeutic models are developing, including cell lines, patient-derived xenografts, organoids, etc. Organoids are three-dimensional in vitro models emerged in the past dozen years and are able to reproduce the cellular and molecular composition of the original tumor. These advantages demonstrate the great potential for patient-derived organoids to develop personalized anticancer therapies, including preclinical drug screening and the prediction of patient treatment response. The impact of microenvironment on cancer treatment cannot be underestimated, and the remodeling of microenvironment also allows organoids to interact with other technologies, among which organs-on-chips is a representative one. This review highlights the use of organoids and organs-on-chips as complementary reference tools in treating colorectal cancer from the perspective of clinical efficacy predictability. We also discuss the limitations of both techniques and how they complement each other well.
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Affiliation(s)
- Jialong Zhu
- grid.284723.80000 0000 8877 7471Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000 China
| | - Linlin Ji
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Yitian Chen
- grid.284723.80000 0000 8877 7471Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000 China ,grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China ,grid.89957.3a0000 0000 9255 8984Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000 China ,grid.410745.30000 0004 1765 1045Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000 China
| | - Huiyu Li
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Mengxi Huang
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Zhe Dai
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Jing Wang
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Dan Xiang
- grid.41156.370000 0001 2314 964XDepartment of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000 China
| | - Gongbo Fu
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
| | - Zengjie Lei
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
| | - Xiaoyuan Chu
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Affiliated Jinling Hospital, Medical School, Nanjing University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China. .,Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
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22
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Chai C, Ji P, Xu H, Tang H, Wang Z, Zhang H, Zhou W. Targeting cancer drug resistance utilizing organoid technology. Biomed Pharmacother 2023; 158:114098. [PMID: 36528918 DOI: 10.1016/j.biopha.2022.114098] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/04/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
Cancer organoids generated from 3D in vitro cell cultures have contributed to the study of drug resistance. Maintenance of genomic and transcriptomic similarity between organoids and parental cancer allows organoids to have the ability of accurate prediction in drug resistance testing. Protocols of establishing therapy-sensitive and therapy-resistant organoids are concluded in two aspects, which are generated directly from respective patients' cancer and by induction of anti-cancer drug. Genomic and transcriptomic analyses and gene editing have been applied to organoid studies to identify key targets in drug resistance and FGFR3, KHDRBS3, lnc-RP11-536 K7.3 and FBN1 were found to be key targets. Furthermore, mechanisms contributing to resistance have been identified, including metabolic adaptation, activation of DNA damage response, defects in apoptosis, reduced cellular senescence, cellular plasticity, subpopulation interactions and gene fusions. Additionally, cancer stem cells (CSCs) have been verified to be involved in drug resistance utilizing organoid technology. Reversal of drug resistance can be achieved by targeting key genes and CSCs in cancer organoids. In this review, we summarize applications of organoids to cancer drug resistance research, indicating prospects and limitations.
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Affiliation(s)
- Changpeng Chai
- The First Hospital of Lanzhou University, Lanzhou University, Lanzhou 730000, Gansu, China; The Forth Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu, China.
| | - Pengfei Ji
- The Second Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu, China.
| | - Hao Xu
- The First Hospital of Lanzhou University, Lanzhou University, Lanzhou 730000, Gansu, China.
| | - Huan Tang
- The Second Clinical Medical College, Lanzhou University, Lanzhou 730000, Gansu, China.
| | - Zhengfeng Wang
- The First Hospital of Lanzhou University, Lanzhou University, Lanzhou 730000, Gansu, China.
| | - Hui Zhang
- The Second Hospital of Lanzhou University, Lanzhou University, Lanzhou 730000, Gansu, China.
| | - Wence Zhou
- Department of General Surgery, The Second Hospital of Lanzhou University, Lanzhou 730000, Gansu, China; The Second Hospital of Lanzhou University, Lanzhou University, Lanzhou 730000, Gansu, China.
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23
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Papaccio F, García-Mico B, Gimeno-Valiente F, Cabeza-Segura M, Gambardella V, Gutiérrez-Bravo MF, Alfaro-Cervelló C, Martinez-Ciarpaglini C, Rentero-Garrido P, Zúñiga-Trejos S, Carbonell-Asins JA, Fleitas T, Roselló S, Huerta M, Sánchez del Pino MM, Sabater L, Roda D, Tarazona N, Cervantes A, Castillo J. "Proteotranscriptomic analysis of advanced colorectal cancer patient derived organoids for drug sensitivity prediction". JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2023; 42:8. [PMID: 36604765 PMCID: PMC9817273 DOI: 10.1186/s13046-022-02591-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 12/28/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Patient-derived organoids (PDOs) from advanced colorectal cancer (CRC) patients could be a key platform to predict drug response and discover new biomarkers. We aimed to integrate PDO drug response with multi-omics characterization beyond genomics. METHODS We generated 29 PDO lines from 22 advanced CRC patients and provided a morphologic, genomic, and transcriptomic characterization. We performed drug sensitivity assays with a panel of both standard and non-standard agents in five long-term cultures, and integrated drug response with a baseline proteomic and transcriptomic characterization by SWATH-MS and RNA-seq analysis, respectively. RESULTS PDOs were successfully generated from heavily pre-treated patients, including a paired model of advanced MSI high CRC deriving from pre- and post-chemotherapy liver metastasis. Our PDOs faithfully reproduced genomic and phenotypic features of original tissue. Drug panel testing identified differential response among PDOs, particularly to oxaliplatin and palbociclib. Proteotranscriptomic analyses revealed that oxaliplatin non-responder PDOs present enrichment of the t-RNA aminoacylation process and showed a shift towards oxidative phosphorylation pathway dependence, while an exceptional response to palbociclib was detected in a PDO with activation of MYC and enrichment of chaperonin T-complex protein Ring Complex (TRiC), involved in proteome integrity. Proteotranscriptomic data fusion confirmed these results within a highly integrated network of functional processes involved in differential response to drugs. CONCLUSIONS Our strategy of integrating PDOs drug sensitivity with SWATH-mass spectrometry and RNA-seq allowed us to identify different baseline proteins and gene expression profiles with the potential to predict treatment response/resistance and to help in the development of effective and personalized cancer therapeutics.
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Affiliation(s)
- Federica Papaccio
- grid.11780.3f0000 0004 1937 0335Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Via S. Allende, 84081 Baronissi, Italy ,Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Blanca García-Mico
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Francisco Gimeno-Valiente
- grid.83440.3b0000000121901201University College London Cancer Institute, Cancer Evolution and Genome Instability Laboratory, London, UK
| | - Manuel Cabeza-Segura
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Valentina Gambardella
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - María Fernanda Gutiérrez-Bravo
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.442220.20000 0004 0485 4548Health Sciences Faculty, Universidad Internacional SEK (UISEK), Quito, 170120 Ecuador
| | - Clara Alfaro-Cervelló
- Department of Pathology, Hospital Clínico Universitario, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Carolina Martinez-Ciarpaglini
- grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain ,Department of Pathology, Hospital Clínico Universitario, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Pilar Rentero-Garrido
- grid.5338.d0000 0001 2173 938XPrecision Medicine Unit, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Sheila Zúñiga-Trejos
- grid.5338.d0000 0001 2173 938XBioinformatic and Biostatistic Unit, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Juan Antonio Carbonell-Asins
- grid.5338.d0000 0001 2173 938XBioinformatic and Biostatistic Unit, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Tania Fleitas
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Susana Roselló
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Marisol Huerta
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Manuel M. Sánchez del Pino
- grid.5338.d0000 0001 2173 938XUniversity Institute of Biotechnology and Biomedicine (BIOTECMED), University of Valencia, 46100 Burjassot, Spain ,grid.5338.d0000 0001 2173 938XDepartment of Biochemistry and Molecular Biology, Universitat de València, 46100 Burjassot, Spain
| | - Luís Sabater
- Liver, Biliary and Pancreatic Unit, Department of Surgery, Hospital Clínico Universitario of Valencia, University of Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain
| | - Desamparados Roda
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Noelia Tarazona
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Andrés Cervantes
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josefa Castillo
- Department of Medical Oncology, Hospital Clínico Universitario de Valencia, INCLIVA Biomedical Research Institute, University of Valencia, Avda. Blasco Ibañez 17, 46010 Valencia, Spain ,grid.413448.e0000 0000 9314 1427Centro de Investigación Biomédica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain ,grid.5338.d0000 0001 2173 938XDepartment of Biochemistry and Molecular Biology, Universitat de València, 46100 Burjassot, Spain
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24
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Harada K, Sakamoto N. Cancer organoid applications to investigate chemotherapy resistance. Front Mol Biosci 2022; 9:1067207. [PMID: 36582205 PMCID: PMC9792487 DOI: 10.3389/fmolb.2022.1067207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/30/2022] [Indexed: 12/15/2022] Open
Abstract
In clinical practice, a large proportion of cancer patients receive chemotherapy, yet tumors persist or acquire resistance; removing this obstacle could help to lower the number of cancer-related fatalities. All areas of cancer research are increasingly using organoid technology, a culture technique that simulates the in vivo environment in vitro, especially in the quickly developing fields of anticancer drug resistance, drug-tolerant persisters, and drug screening. This review provides an overview of organoid technology, the use of organoids in the field of anticancer drug resistance research, their relevance to clinical information and clinical trials, and approaches to automation and high throughput.
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Affiliation(s)
- Kenji Harada
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan,Division of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan
| | - Naoya Sakamoto
- Division of Pathology, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan,*Correspondence: Naoya Sakamoto,
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25
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Clark CC, Yoo KM, Sivakumar H, Strumpf K, Laxton AW, Tatter SB, Strowd RE, Skardal A. Immersion bioprinting of hyaluronan and collagen bioink-supported 3D patient-derived brain tumor organoids. Biomed Mater 2022; 18. [PMID: 36332268 DOI: 10.1088/1748-605x/aca05d] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 11/04/2022] [Indexed: 11/06/2022]
Abstract
Organoids, and in particular patient-derived organoids, have emerged as crucial tools for cancer research. Our organoid platform, which has supported patient-derived tumor organoids (PTOs) from a variety of tumor types, has been based on the use of hyaluronic acid (HA) and collagen, or gelatin, hydrogel bioinks. One hurdle to high throughput PTO biofabrication is that as high-throughput multi-well plates, bioprinted volumes have increased risk of contacting the sides of wells. When this happens, surface tension causes bioinks to fall flat, resulting in 2D cultures. To address this problem, we developed an organoid immersion bioprinting method-inspired by the FRESH printing method-in which organoids are bioprinted into support baths in well plates. The bath-in this case an HA solution-shields organoids from the well walls, preventing deformation. Here we describe an improvement to our approach, based on rheological assessment of previous gelatin baths versus newer HA support baths, combined with morphological assessment of immersion bioprinted organoids. HA print baths enabled more consistent organoid volumes and geometries. We optimized the printing parameters of this approach using a cell line. Finally, we deployed our optimized immersion bioprinting approach into a drug screening application, using PTOs derived from glioma biospecimens, and a lung adenocarcinoma brain metastasis. In these studies, we showed a general dose dependent response to an experimental p53 activator compound and temozolomide (TMZ), the drug most commonly given to brain tumor patients. Responses to the p53 activator compound were effective across all PTO sets, while TMZ responses were observed, but less pronounced, potentially explained by genetic and epigenetic states of the originating tumors. The studies presented herein showcase a bioprinting methodology that we hope can be used in increased throughput settings to help automate biofabrication of PTOs for drug development-based screening studies and precision medicine applications.
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Affiliation(s)
- Casey C Clark
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC 27101, United States of America.,Department of Biomedical Engineering, Wake Forest School of Medicine, 575 Patterson Avenue, Winston-Salem, NC 27101, United States of America
| | - Kyung Min Yoo
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC 27101, United States of America
| | - Hemamylammal Sivakumar
- Department of Biomedical Engineering, The Ohio State University, 140 W. 19th Avenue, Columbus, OH 43210, United States of America
| | - Kristina Strumpf
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, 391 Technology Way, Winston-Salem, NC 27101, United States of America
| | - Adrian W Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States of America.,Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, United States of America
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States of America.,Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, United States of America
| | - Roy E Strowd
- Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, United States of America.,Department of Neurology, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157, United States of America
| | - Aleksander Skardal
- Department of Biomedical Engineering, The Ohio State University, 140 W. 19th Avenue, Columbus, OH 43210, United States of America.,The Ohio State University and Arthur G James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America
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26
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Papaccio F, Cabeza-Segura M, Garcia-Micò B, Tarazona N, Roda D, Castillo J, Cervantes A. Will Organoids Fill the Gap towards Functional Precision Medicine? J Pers Med 2022; 12:1939. [PMID: 36422115 PMCID: PMC9695811 DOI: 10.3390/jpm12111939] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/16/2022] [Accepted: 11/19/2022] [Indexed: 08/13/2023] Open
Abstract
Precision medicine approaches for solid tumors are mainly based on genomics. Its employment in clinical trials has led to somewhat underwhelming results, except for single responses. Moreover, several factors can influence the response, such as gene and protein expression, the coexistence of different genomic alterations or post-transcriptional/translational modifications, the impact of tumor microenvironment, etc., therefore making it insufficient to employ a genomics-only approach to predict response. Recently, the implementation of patient-derived organoids has shed light on the possibility to use them to predict patient response to drug treatment. This could offer for the first time the possibility to move precision medicine to a functional environment.
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Affiliation(s)
- Federica Papaccio
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, Via S. Allende, 84081 Baronissi, Italy
| | - Manuel Cabeza-Segura
- Biomedical Research Institute INCLIVA, Hospital Clínico Universitario, Department Medical Oncology, University of Valencia, 46010 Valencia, Spain
| | - Blanca Garcia-Micò
- Biomedical Research Institute INCLIVA, Hospital Clínico Universitario, Department Medical Oncology, University of Valencia, 46010 Valencia, Spain
| | - Noelia Tarazona
- Biomedical Research Institute INCLIVA, Hospital Clínico Universitario, Department Medical Oncology, University of Valencia, 46010 Valencia, Spain
- Centro de Investigacion Biomedica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Desamparados Roda
- Biomedical Research Institute INCLIVA, Hospital Clínico Universitario, Department Medical Oncology, University of Valencia, 46010 Valencia, Spain
- Centro de Investigacion Biomedica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josefa Castillo
- Biomedical Research Institute INCLIVA, Hospital Clínico Universitario, Department Medical Oncology, University of Valencia, 46010 Valencia, Spain
- Centro de Investigacion Biomedica en Red (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Biochemistry and Molecular Biology, University of Valencia, 46010 Valencia, Spain
| | - Andres Cervantes
- Biomedical Research Institute INCLIVA, Hospital Clínico Universitario, Department Medical Oncology, University of Valencia, 46010 Valencia, Spain
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27
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Live slow-frozen human tumor tissues viable for 2D, 3D, ex vivo cultures and single-cell RNAseq. Commun Biol 2022; 5:1144. [PMID: 36307545 PMCID: PMC9616892 DOI: 10.1038/s42003-022-04025-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 09/23/2022] [Indexed: 11/21/2022] Open
Abstract
Biobanking of surplus human healthy and disease-derived tissues is essential for diagnostics and translational research. An enormous amount of formalin-fixed and paraffin-embedded (FFPE), Tissue-Tek OCT embedded or snap-frozen tissues are preserved in many biobanks worldwide and have been the basis of translational studies. However, their usage is limited to assays that do not require viable cells. The access to intact and viable human material is a prerequisite for translational validation of basic research, for novel therapeutic target discovery, and functional testing. Here we show that surplus tissues from multiple solid human cancers directly slow-frozen after resection can subsequently be used for different types of methods including the establishment of 2D, 3D, and ex vivo cultures as well as single-cell RNA sequencing with similar results when compared to freshly analyzed material. Fresh vs. slow-frozen tissues from various malignancies are compared for the establishment of 2D, 3D and ex vivo cultures, as well as for scRNAseq analysis, and found to be comparable and suitable for cancer research.
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28
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Yu YY, Zhu YJ, Xiao ZZ, Chen YD, Chang XS, Liu YH, Tang Q, Zhang HB. The pivotal application of patient-derived organoid biobanks for personalized treatment of gastrointestinal cancers. Biomark Res 2022; 10:73. [PMID: 36207749 PMCID: PMC9547471 DOI: 10.1186/s40364-022-00421-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 09/21/2022] [Indexed: 12/02/2022] Open
Abstract
Gastrointestinal cancers (GICs) occupy more than 30% of the cancer-related incidence and mortality around the world. Despite advances in the treatment strategies, the long-term overall survival has not been improved for patients with GICs. Recently, the novel patient-derived organoid (PDO) culture technology has become a powerful tool for GICs in a manner that recapitulates the morphology, pathology, genetic, phenotypic, and behavior traits of the original tumors. Excitingly, a number of evidences suggest that the versatile technology has great potential for personalized treatment, suppling the clinical application of molecularly guided personalized treatment. In the paper, we summarize the literature on the topics of establishing organoid biobanks of PDOs, and their application in the personalized treatment allowing for radiotherapy, chemotherapy, targeted therapy, and immunotherapy selection for GICs. Despite the limitations of current organoid models, high-throughput drug screening of GIC PDO combined with next-generation sequencing technology represents a novel and pivotal preclinical model for precision medicine of tumors and has a great value in promoting the transformation from basic cancer research to clinical application.
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Affiliation(s)
- Ya-Ya Yu
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yan-Juan Zhu
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Zhen-Zhen Xiao
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Ya-Dong Chen
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xue-Song Chang
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yi-Hong Liu
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Qing Tang
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China.,Clinical and Basic Research Team of TCM Prevention and Treatment of NSCLC, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China
| | - Hai-Bo Zhang
- Department of Oncology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. .,Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China. .,State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
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29
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Wang Q, Guo F, Jin Y, Ma Y. Applications of human organoids in the personalized treatment for digestive diseases. Signal Transduct Target Ther 2022; 7:336. [PMID: 36167824 PMCID: PMC9513303 DOI: 10.1038/s41392-022-01194-6] [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: 06/14/2022] [Revised: 08/09/2022] [Accepted: 09/13/2022] [Indexed: 11/15/2022] Open
Abstract
Digestive system diseases arise primarily through the interplay of genetic and environmental influences; there is an urgent need in elucidating the pathogenic mechanisms of these diseases and deploy personalized treatments. Traditional and long-established model systems rarely reproduce either tissue complexity or human physiology faithfully; these shortcomings underscore the need for better models. Organoids represent a promising research model, helping us gain a more profound understanding of the digestive organs; this model can also be used to provide patients with precise and individualized treatment and to build rapid in vitro test models for drug screening or gene/cell therapy, linking basic research with clinical treatment. Over the past few decades, the use of organoids has led to an advanced understanding of the composition of each digestive organ and has facilitated disease modeling, chemotherapy dose prediction, CRISPR-Cas9 genetic intervention, high-throughput drug screening, and identification of SARS-CoV-2 targets, pathogenic infection. However, the existing organoids of the digestive system mainly include the epithelial system. In order to reveal the pathogenic mechanism of digestive diseases, it is necessary to establish a completer and more physiological organoid model. Combining organoids and advanced techniques to test individualized treatments of different formulations is a promising approach that requires further exploration. This review highlights the advancements in the field of organoid technology from the perspectives of disease modeling and personalized therapy.
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Affiliation(s)
- Qinying Wang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fanying Guo
- School of Clinical Medicine, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yutao Jin
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yanlei Ma
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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30
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Flobak Å, Skånland SS, Hovig E, Taskén K, Russnes HG. Functional precision cancer medicine: drug sensitivity screening enabled by cell culture models. Trends Pharmacol Sci 2022; 43:973-985. [PMID: 36163057 DOI: 10.1016/j.tips.2022.08.009] [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: 05/13/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 10/31/2022]
Abstract
Functional precision medicine is a new, emerging area that can guide cancer treatment by capturing information from direct perturbations of tumor-derived, living cells, such as by drug sensitivity screening. Precision cancer medicine as currently implemented in clinical practice has been driven by genomics, and current molecular tumor boards rely extensively on genomic characterization to advise on therapeutic interventions. However, genomic biomarkers can only guide treatment decisions for a fraction of the patients. In this review we provide an overview of the current state of functional precision medicine, highlight advances for drug-sensitivity screening enabled by cell culture models, and discuss how artificial intelligence (AI) can be coupled to functional precision medicine to guide patient stratification.
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Affiliation(s)
- Åsmund Flobak
- The Cancer Clinic, St. Olav University Hospital, Trondheim, Norway; Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sigrid S Skånland
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Informatics, Centre for Bioinformatics, University of Oslo, Oslo, Norway
| | - Kjetil Taskén
- Department of Cancer Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for B Cell Malignancies, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Hege G Russnes
- Department of Pathology, Oslo University Hospital, Oslo, Norway; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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31
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Guo C, Tang Y, Yang Z, Li G, Zhang Y. Hallmark-guided subtypes of hepatocellular carcinoma for the identification of immune-related gene classifiers in the prediction of prognosis, treatment efficacy, and drug candidates. Front Immunol 2022; 13:958161. [PMID: 36032071 PMCID: PMC9399518 DOI: 10.3389/fimmu.2022.958161] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/18/2022] [Indexed: 11/13/2022] Open
Abstract
Hepatocellular carcinoma (HCC), accounting for ~90% of all primary liver cancer, is a prevalent malignancy worldwide. The intratumor heterogeneity of its causative etiology, histology, molecular landscape, and immune phenotype makes it difficult to precisely recognize individuals with high mortality risk or tumor-intrinsic treatment resistance, especially immunotherapy. Herein, we comprehensively evaluated the activities of cancer hallmark gene sets and their correlations with the prognosis of HCC patients using gene set variation analysis (GSVA) and identified two HCC subtypes with distinct prognostic outcomes. Based on these subtypes, seven immune-related genes (TMPRSS6, SPP1, S100A9, EPO, BIRC5, PLXNA1, and CDK4) were used to construct a novel prognostic gene signature [hallmark-guided subtypes-based immunologic signature (HGSIS)] via multiple statistical approaches. The HGSIS-integrated nomogram suggested an enhanced predictive performance. Interestingly, oncogenic hallmark pathways were significantly enriched in the high-risk group and positively associated with the risk score. Distinct mutational landscapes and immune profiles were observed between different risk groups. Moreover, immunophenoscore (IPS) and tumor immune dysfunction and exclusion (TIDE) analysis showed different sensitivities of HGSIS risk groups for immune therapy efficacy, and the pRRophetic algorithm indicated distinguishable responses for targeted/chemotherapies in different groups. KIF2C was picked out as the key target concerning HGSIS, and the top 10 small molecules were predicted to bind to the active site of KIF2C via molecular docking, which might be further used for candidate drug discovery of HCC. Taken together, our study offers novel insights for clinically significant subtype recognition, and the proposed signature may be a helpful guide for clinicians to improve the treatment regimens.
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Affiliation(s)
- Chengbin Guo
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yuqin Tang
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhao Yang
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Gen Li
- Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- *Correspondence: Yongqiang Zhang, ; Gen Li,
| | - Yongqiang Zhang
- Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China
- *Correspondence: Yongqiang Zhang, ; Gen Li,
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32
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Xu H, Jiao D, Liu A, Wu K. Tumor organoids: applications in cancer modeling and potentials in precision medicine. J Hematol Oncol 2022; 15:58. [PMID: 35551634 PMCID: PMC9103066 DOI: 10.1186/s13045-022-01278-4] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/28/2022] [Indexed: 12/24/2022] Open
Abstract
Cancer is a top-ranked life-threatening disease with intratumor heterogeneity. Tumor heterogeneity is associated with metastasis, relapse, and therapy resistance. These factors contribute to treatment failure and an unfavorable prognosis. Personalized tumor models faithfully capturing the tumor heterogeneity of individual patients are urgently needed for precision medicine. Advances in stem cell culture have given rise to powerful organoid technology for the generation of in vitro three-dimensional tissues that have been shown to more accurately recapitulate the structures, specific functions, molecular characteristics, genomic alterations, expression profiles, and tumor microenvironment of primary tumors. Tumoroids in vitro serve as an important component of the pipeline for the discovery of potential therapeutic targets and the identification of novel compounds. In this review, we will summarize recent advances in tumoroid cultures as an excellent tool for accurate cancer modeling. Additionally, vascularization and immune microenvironment modeling based on organoid technology will also be described. Furthermore, we will summarize the great potential of tumor organoids in predicting the therapeutic response, investigating resistance-related mechanisms, optimizing treatment strategies, and exploring potential therapies. In addition, the bottlenecks and challenges of current tumoroids will also be discussed in this review.
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Affiliation(s)
- Hanxiao Xu
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Dechao Jiao
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Aiguo Liu
- Department of Pediatrics, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Kongming Wu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. .,Department of Oncology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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33
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Precision-Cut Tumor Slices (PCTS) as an Ex Vivo Model in Immunotherapy Research. Antibodies (Basel) 2022; 11:antib11020026. [PMID: 35466279 PMCID: PMC9036232 DOI: 10.3390/antib11020026] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/25/2022] [Accepted: 04/01/2022] [Indexed: 12/04/2022] Open
Abstract
Precision-cut tumor slices (PCTS) have recently emerged as important ex vivo human tumor models, offering the opportunity to study individual patient responses to targeted immunotherapies, including CAR-T cell therapies. In this review, an outline of different human tumor models available in laboratory settings is provided, with a focus on the unique characteristics of PCTS. Standard PCTS generation and maintenance procedures are outlined, followed by an in-depth overview of PCTS utilization in preclinical research aiming to better understand the unique functional characteristics of cytotoxic T cells within human tumors. Furthermore, recent studies using PCTS as an ex vivo model for predicting patient responses to immunotherapies and other targeted therapies against solid tumors are thoroughly presented. Finally, the advantages and limitations of the PCTS models are discussed. PCTS are expected to gain momentum and be fully utilized as a significant tool towards better patient stratification and personalized medicine.
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34
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Chen H, Wu Z, Gong Z, Xia Y, Li J, Du L, Zhang Y, Gao X, Fan Z, Hu H, Qian Q, Ding Z, Guo S. Acoustic Bioprinting of Patient-Derived Organoids for Predicting Cancer Therapy Responses. Adv Healthc Mater 2022; 11:e2102784. [PMID: 35358375 DOI: 10.1002/adhm.202102784] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 03/12/2022] [Indexed: 12/29/2022]
Abstract
Cancer models, which are biologically representative of patient tumors, can predict the treatment responses and help determine the most appropriate cancer treatment for individual patients. Here, a point-of-care testing system called acoustically bioprinted patient-derived microtissues (PDMs) that can model cancer invasion and predict treatment response in individual patients with colorectal cancer (CRC), is reported. The PDMs are composed of patient-derived colorectal tumors and healthy organoids which can be precisely arranged by acoustic bioprinting approach for recapulating primary tissue's architecture. Particularly, these tumor organoids can be efficiently generated and can apprehend histological, genomic, and phenotypical characteristics of primary tumors. Consequently, these PDMs allow physiologically relevant in vitro drug (5-fluorouracil) screens, thus predicting the paired patient's responses to chemotherapy. A correlation between organoid invasion speed and normalized spreading speed of the paired patients is further established. It provides a quantitative indicator to help doctors make better decisions on ultimate anus-preserving operation for extremely low CRC patients. Thus, by combing acoustic bioprinting and organoid cultures, this method may open an avenue to establish complex 3D tissue models for precision and personalized medicine.
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Affiliation(s)
- Hui Chen
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Zhuhao Wu
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Zhiyi Gong
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Yu Xia
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Juan Li
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Liang Du
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Yuanzheng Zhang
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Xiangyang Gao
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
| | - Zhou Fan
- Department of Colorectal and Anal Surgery Hubei Key Laboratory of Intestinal and Colorectal Diseases Zhongnan Hospital of Wuhan University Wuhan 430072 China
| | - Hang Hu
- Department of Colorectal and Anal Surgery Hubei Key Laboratory of Intestinal and Colorectal Diseases Zhongnan Hospital of Wuhan University Wuhan 430072 China
| | - Qun Qian
- Department of Colorectal and Anal Surgery Hubei Key Laboratory of Intestinal and Colorectal Diseases Zhongnan Hospital of Wuhan University Wuhan 430072 China
| | - Zhao Ding
- Department of Colorectal and Anal Surgery Hubei Key Laboratory of Intestinal and Colorectal Diseases Zhongnan Hospital of Wuhan University Wuhan 430072 China
| | - Shishang Guo
- Key Laboratory of Artificial Micro‐ and Nano‐structures of Ministry of Education School of Physics and Technology Wuhan University Wuhan 430072 China
- Hubei Yangtze Memory Laboratories Wuhan 430205 China
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Baião A, Dias S, Soares AF, Pereira CL, Oliveira C, Sarmento B. Advances in the use of 3D colorectal cancer models for novel drug discovery. Expert Opin Drug Discov 2022; 17:569-580. [PMID: 35343351 DOI: 10.1080/17460441.2022.2056162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Colorectal cancer (CRC) is one of the most common and deadly tumors worldwide. CRC in vitro and in vivo models that recapitulate key features of human disease are essential to the development of novel and effective therapeutics. However, two-dimensional (2D) in vitro culture systems are considered too simple and do not represent the complex nature of the human tumor. However, three-dimensional (3D) models have emerged in recent years as more advanced and complex cell culture systems, able to closely resemble key features of human cancer tissues. AREAS COVERED The authors' review the currently established in vitro cell culture models and describe the advances in the development of 3D scaffold-free models to study CRC. The authors also discuss intestinal spheroids and organoids. As well as in vitro models for drug screening and metastatic CRC (mCRC). EXPERT OPINION The ideal CRC in vitro model is not yet established. Spheroid-based 3D models represent one of the most used approaches to recapitulate the tumor environment, overcoming some limitations of 2D models. Mouse and patient-derived organoids are more advanced models that can mimic more closely the characteristics and properties of CRC, with the possibility of including cells derived from patients with metastatic CRC.
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Affiliation(s)
- Ana Baião
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Sofia Dias
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,ICBAS, Instituto de Ciências Biomédicas Abel Salazar, Universidade do Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal
| | - Ana Francisca Soares
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
| | - Catarina Leite Pereira
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal
| | - Carla Oliveira
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,IPATIMUP, Institute of Molecular Pathology and Immunology of University of Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,Department of Pathology, Faculty of Medicine of University of Porto, 4200-319 Porto, Portugal
| | - Bruno Sarmento
- i3S, Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,INEB, Instituto de Engenharia Biomédica, Universidade do Porto, Rua Alfredo Allen 208, 4200-135 Porto, Portugal.,CESPU - Instituto Universitário de Ciências da Saúde, Rua Central de Gandra 1317, 4585-116 Gandra, Portugal
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Luo L, Ma Y, Zheng Y, Su J, Huang G. Application Progress of Organoids in Colorectal Cancer. Front Cell Dev Biol 2022; 10:815067. [PMID: 35273961 PMCID: PMC8902504 DOI: 10.3389/fcell.2022.815067] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/31/2022] [Indexed: 12/24/2022] Open
Abstract
Currently, colorectal cancer is still the third leading cause of cancer-related mortality, and the incidence is rising. It is a long time since the researchers used cancer cell lines and animals as the study subject. However, these models possess various limitations to reflect the cancer progression in the human body. Organoids have more clinical significance than cell lines, and they also bridge the gap between animal models and humans. Patient-derived organoids are three-dimensional cultures that simulate the tumor characteristics in vivo and recapitulate tumor cell heterogeneity. Therefore, the emergence of colorectal cancer organoids provides an unprecedented opportunity for colorectal cancer research. It retains the molecular and cellular composition of the original tumor and has a high degree of homology and complexity with patient tissues. Patient-derived colorectal cancer organoids, as personalized tumor organoids, can more accurately simulate colorectal cancer patients’ occurrence, development, metastasis, and predict drug response in colorectal cancer patients. Colorectal cancer organoids show great potential for application, especially preclinical drug screening and prediction of patient response to selected treatment options. Here, we reviewed the application of colorectal cancer organoids in disease model construction, basic biological research, organoid biobank construction, drug screening and personalized medicine, drug development, drug toxicity and safety, and regenerative medicine. In addition, we also displayed the current limitations and challenges of organoids and discussed the future development direction of organoids in combination with other technologies. Finally, we summarized and analyzed the current clinical trial research of organoids, especially the clinical trials of colorectal cancer organoids. We hoped to lay a solid foundation for organoids used in colorectal cancer research.
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Affiliation(s)
- Lianxiang Luo
- The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China.,The Marine Biomedical Research Institute of Guangdong Zhanjiang, Zhanjiang, China.,Southern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, China
| | - Yucui Ma
- The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China
| | - Yilin Zheng
- Clinical Research Center, Shantou Central Hospital, Shantou, China
| | - Jiating Su
- The First Clinical College, Guangdong Medical University, Zhanjiang, China
| | - Guoxin Huang
- Clinical Research Center, Shantou Central Hospital, Shantou, China
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Strömberg C, Martinez de la Maza L, Fernández Moro C, Gerling M, Jorns C, Sparrelid E, Löhr J, Villard C. Prognostic impact of inter-metastatic heterogeneity of viable tumour cells in colorectal liver metastases. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2022; 48:1656-1663. [DOI: 10.1016/j.ejso.2022.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/03/2022] [Accepted: 03/08/2022] [Indexed: 11/16/2022]
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Furbo S, Urbano PCM, Raskov HH, Troelsen JT, Kanstrup Fiehn AM, Gögenur I. Use of Patient-Derived Organoids as a Treatment Selection Model for Colorectal Cancer: A Narrative Review. Cancers (Basel) 2022; 14:cancers14041069. [PMID: 35205817 PMCID: PMC8870458 DOI: 10.3390/cancers14041069] [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: 01/20/2022] [Revised: 02/17/2022] [Accepted: 02/18/2022] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Colorectal cancer (CRC) is the third most common type of cancer globally. Despite successful treatment, it has a 40% chance of recurrence within five years after surgery. While neoadjuvant chemotherapy is offered for stage IV cancers, it comes with a risk of resistance and disease progression. CRC tumors vary biologically, recur frequently, and pose a significant risk for cancer-related mortality, making it increasingly relevant to develop methods to study personalized treatment. A tumor organoid is a miniature, multicellular, and 3D replica of a tumor in vitro that retains its characteristics. Here, we discuss the current methods of culturing organoids and the correlation of drug response in organoids with clinical responses in patients. This helps us to determine whether organoids can be used for treatment selection in a clinical setting. Based on the studies included, there was a strong correlation between treatment responses of organoids and clinical treatment responses. Abstract Surgical resection is the mainstay in intended curative treatment of colorectal cancer (CRC) and may be accompanied by adjuvant chemotherapy. However, 40% of the patients experience recurrence within five years of treatment, highlighting the importance of improved, personalized treatment options. Monolayer cell cultures and murine models, which are generally used to study the biology of CRC, are associated with certain drawbacks; hence, the use of organoids has been emerging. Organoids obtained from tumors display similar genotypic and phenotypic characteristics, making them ideal for investigating individualized treatment strategies and for integration as a core platform to be used in prediction models. Here, we review studies correlating the clinical response in patients with CRC with the therapeutic response in patient-derived organoids (PDO), as well as the limitations and potentials of this model. The studies outlined in this review reported strong associations between treatment responses in the PDO model and clinical treatment responses. However, as PDOs lack the tumor microenvironment, they do not genuinely account for certain crucial characteristics that influence therapeutic response. To this end, we reviewed studies investigating PDOs co-cultured with tumor-infiltrating lymphocytes. This model is a promising method allowing evaluation of patient-specific tumors and selection of personalized therapies. Standardized methodologies must be implemented to reach a “gold standard” for validating the use of this model in larger cohorts of patients. The introduction of this approach to a clinical scenario directing neoadjuvant treatment and in other curative and palliative treatment strategies holds incredible potential for improving personalized treatment and its outcomes.
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Affiliation(s)
- Sara Furbo
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Lykkebækvej 1, 4600 Køge, Denmark; (S.F.); (P.C.M.U.); (H.H.R.); (A.-M.K.F.)
| | - Paulo César Martins Urbano
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Lykkebækvej 1, 4600 Køge, Denmark; (S.F.); (P.C.M.U.); (H.H.R.); (A.-M.K.F.)
| | - Hans Henrik Raskov
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Lykkebækvej 1, 4600 Køge, Denmark; (S.F.); (P.C.M.U.); (H.H.R.); (A.-M.K.F.)
| | - Jesper Thorvald Troelsen
- Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark;
- Enhanced Perioperative Oncology (EPeOnc) Consortium, Zealand University Hospital, 4600 Køge, Denmark
| | - Anne-Marie Kanstrup Fiehn
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Lykkebækvej 1, 4600 Køge, Denmark; (S.F.); (P.C.M.U.); (H.H.R.); (A.-M.K.F.)
- Department of Pathology, Zealand University Hospital, Sygehusvej 10, 4000 Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 København, Denmark
| | - Ismail Gögenur
- Center for Surgical Science, Department of Surgery, Zealand University Hospital, Lykkebækvej 1, 4600 Køge, Denmark; (S.F.); (P.C.M.U.); (H.H.R.); (A.-M.K.F.)
- Enhanced Perioperative Oncology (EPeOnc) Consortium, Zealand University Hospital, 4600 Køge, Denmark
- Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200 København, Denmark
- Correspondence: ; Tel.: +45-2633-6426
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Kim S, Park JW, Seo H, Kim M, Park J, Kim G, Lee JO, Shin Y, Bae JM, Koo B, Jeong S, Ku J. Multifocal Organoid Capturing of Colon Cancer Reveals Pervasive Intratumoral Heterogenous Drug Responses. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2103360. [PMID: 34918496 PMCID: PMC8844556 DOI: 10.1002/advs.202103360] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 11/15/2021] [Indexed: 06/14/2023]
Abstract
Intratumor heterogeneity (ITH) stands as one of the main difficulties in the treatment of colorectal cancer (CRC) as it causes the development of resistant clones and leads to heterogeneous drug responses. Here, 12 sets of patient-derived organoids (PDOs) and cell lines (PDCs) isolated from multiple regions of single tumors from 12 patients, capturing ITH by multiregion sampling of individual tumors, are presented. Whole-exome sequencing and RNA sequencing of the 12 sets are performed. The PDOs and PDCs of the 12 sets are also analyzed with a clinically relevant 24-compound library to assess their drug responses. The results reveal unexpectedly widespread subregional heterogeneity among PDOs and PDCs isolated from a single tumor, which is manifested by genetic and transcriptional heterogeneity and strong variance in drug responses, while each PDO still recapitulates the major histologic, genomic, and transcriptomic characteristics of the primary tumor. The data suggest an imminent drawback of single biopsy-originated PDO-based clinical diagnosis in evaluating CRC patient responses. Instead, the results indicate the importance of targeting common somatic driver mutations positioned in the trunk of all tumor subregional clones in parallel with a comprehensive understanding of the molecular ITH of each tumor.
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Affiliation(s)
- Soon‐Chan Kim
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Department of Biomedical SciencesSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
- Ischemic/Hypoxic Disease InstituteSeoul National University College of MedicineSeoul03080South Korea
| | - Ji Won Park
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
- Department of SurgerySeoul National University College of MedicineSeoul03080South Korea
- Division of Colorectal SurgeryDepartment of SurgerySeoul National University HospitalSeoul03080South Korea
| | - Ha‐Young Seo
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
| | - Minjung Kim
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
- Department of SurgerySeoul National University College of MedicineSeoul03080South Korea
- Division of Colorectal SurgeryDepartment of SurgerySeoul National University HospitalSeoul03080South Korea
| | - Jae‐Hyeon Park
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
| | - Ga‐Hye Kim
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Department of Biomedical SciencesSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
| | - Ja Oh Lee
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
| | - Young‐Kyoung Shin
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
- Ischemic/Hypoxic Disease InstituteSeoul National University College of MedicineSeoul03080South Korea
| | - Jeong Mo Bae
- Department of PathologySeoul National University College of MedicineSeoul03080South Korea
| | - Bon‐Kyoung Koo
- Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA)Vienna Biocenter (VBC)Dr. Bohr‐Gasse 3Vienna1030Austria
| | - Seung‐Yong Jeong
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
- Department of SurgerySeoul National University College of MedicineSeoul03080South Korea
- Division of Colorectal SurgeryDepartment of SurgerySeoul National University HospitalSeoul03080South Korea
| | - Ja‐Lok Ku
- Korean Cell Line BankLaboratory of Cell BiologyCancer Research InstituteSeoul National University College of MedicineSeoul03080South Korea
- Department of Biomedical SciencesSeoul National University College of MedicineSeoul03080South Korea
- Cancer Research InstituteSeoul National UniversitySeoul03080South Korea
- Ischemic/Hypoxic Disease InstituteSeoul National University College of MedicineSeoul03080South Korea
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40
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Kryeziu K, Bergsland CH, Guren TK, Sveen A, Lothe RA. Multiplex immunohistochemistry of metastatic colorectal cancer and ex vivo tumor avatars. Biochim Biophys Acta Rev Cancer 2022; 1877:188682. [DOI: 10.1016/j.bbcan.2022.188682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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41
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Chen H, Du L, Li J, Wu Z, Gong Z, Xia Y, Fan Z, Qian Q, Ding Z, Hu H, Guo S. Model Cancer Metastasis using Acoustically Bio-printed Patient-Derived 3D Tumor Microtissues. J Mater Chem B 2022; 10:1843-1852. [DOI: 10.1039/d1tb02789a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Cancer metastasis causes most cancer-related deaths, and modeling caner invasion holds potential in drug discovery and companion diagnostics. Despite 2D cocultures have been developed to study cancer invasion, it is...
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42
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Piro G, Agostini A, Larghi A, Quero G, Carbone C, Esposito A, Rizzatti G, Attili F, Alfieri S, Costamagna G, Tortora G. Pancreatic Cancer Patient-Derived Organoid Platforms: A Clinical Tool to Study Cell- and Non-Cell-Autonomous Mechanisms of Treatment Response. Front Med (Lausanne) 2021; 8:793144. [PMID: 35004765 PMCID: PMC8733292 DOI: 10.3389/fmed.2021.793144] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 11/03/2021] [Indexed: 12/13/2022] Open
Abstract
For many years, cell lines and animal models have been essential to improve our understanding of the basis of cell metabolism, signaling, and genetics. They also provided an essential boost to cancer drug discovery. Nevertheless, these model systems failed to reproduce the tumor heterogeneity and the complex biological interactions between cancer cells and human hosts, making a high priority search for alternative methods that are able to export results from model systems to humans, which has become a major bottleneck in the drug development. The emergent human in vitro 3D cell culture technologies have attracted widespread attention because they seem to have the potential to overcome these limitations. Organoids are unique 3D culture models with the ability to self-organize in contained structures. Their versatility has offered an exceptional window of opportunity to approach human cancers. Pancreatic cancers (PCs) patient-derived-organoids (PDOs) preserve histological, genomic, and molecular features of neoplasms they originate from and therefore retain their heterogeneity. Patient-derived organoids can be established with a high success rate from minimal tissue core specimens acquired with endoscopic-ultrasound-guided techniques and assembled into platforms, representing tens to hundreds of cancers each conserving specific features, expanding the types of patient samples that can be propagated and analyzed in the laboratory. Because of their nature, PDO platforms are multipurpose systems that can be easily adapted in co-culture settings to perform a wide spectrum of studies, ranging from drug discovery to immune response evaluation to tumor-stroma interaction. This possibility to increase the complexity of organoids creating a hybrid culture with non-epithelial cells increases the interest in organoid-based platforms giving a pragmatic way to deeply study biological interactions in vitro. In this view, implementing organoid models in co-clinical trials to compare drug responses may represent the next step toward even more personalized medicine. In the present review, we discuss how PDO platforms are shaping modern-day oncology aiding to unravel the most complex aspects of PC.
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Affiliation(s)
- Geny Piro
- Department of Medical and Surgical Sciences, Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Antonio Agostini
- Department of Medical and Surgical Sciences, Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Alberto Larghi
- Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- CERTT, Center for Endoscopic Research Therapeutics and Training, Catholic University, Rome, Italy
| | - Giuseppe Quero
- Department of Surgery, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Carmine Carbone
- Department of Medical and Surgical Sciences, Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Annachiara Esposito
- Department of Medical and Surgical Sciences, Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Gianenrico Rizzatti
- Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- CERTT, Center for Endoscopic Research Therapeutics and Training, Catholic University, Rome, Italy
| | - Fabia Attili
- Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- CERTT, Center for Endoscopic Research Therapeutics and Training, Catholic University, Rome, Italy
| | - Sergio Alfieri
- Department of Surgery, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Guido Costamagna
- Digestive Endoscopy Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- CERTT, Center for Endoscopic Research Therapeutics and Training, Catholic University, Rome, Italy
| | - Giampaolo Tortora
- Department of Medical and Surgical Sciences, Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
- Department of Translational Medicine, Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
- Comprehensive Cancer Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- *Correspondence: Giampaolo Tortora
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Cho YW, Min DW, Kim HP, An Y, Kim S, Youk J, Chun J, Im JP, Song SH, Ju YS, Han SW, Park KJ, Kim TY. Patient-derived organoids as a preclinical platform for precision medicine in colorectal cancer. Mol Oncol 2021; 16:2396-2412. [PMID: 34850547 PMCID: PMC9208081 DOI: 10.1002/1878-0261.13144] [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: 07/14/2021] [Revised: 10/03/2021] [Accepted: 11/29/2021] [Indexed: 12/16/2022] Open
Abstract
Patient‐derived organoids are being considered as models that can help guide personalized therapy through in vitro anticancer drug response evaluation. However, attempts to quantify in vitro drug responses in organoids and compare them with responses in matched patients remain inadequate. In this study, we investigated whether drug responses of organoids correlate with clinical responses of matched patients and disease progression of patients. Organoids were established from 54 patients with colorectal cancer who (except for one patient) did not receive any form of therapy before, and tumor organoids were assessed through whole‐exome sequencing. For comparisons of in vitro drug responses in matched patients, we developed an ‘organoid score’ based on the variable anticancer treatment responses observed in organoids. Very interestingly, a higher organoid score was significantly correlated with a lower tumor regression rate after the standard‐of‐care treatment in matched patients. Additionally, we confirmed that patients with a higher organoid score (≥ 2.5) had poorer progression‐free survival compared with those with a lower organoid score (< 2.5). Furthermore, to assess potential drug repurposing using an FDA‐approved drug library, ten tumor organoids derived from patients with disease progression were applied to a simulation platform. Taken together, organoids and organoid scores can facilitate the prediction of anticancer therapy efficacy, and they can be used as a simulation model to determine the next therapeutic options through drug screening. Organoids will be an attractive platform to enable the implementation of personalized therapy for colorectal cancer patients.
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Affiliation(s)
- Young-Won Cho
- Department of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.,Cancer Research Institute, Seoul National University, Korea
| | - Dong-Wook Min
- Department of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.,Cancer Research Institute, Seoul National University, Korea
| | - Hwang-Phill Kim
- Department of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.,Cancer Research Institute, Seoul National University, Korea
| | - Yohan An
- BioMedical Science and Engineering Interdisciplinary Program (BSEIP), Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Sheehyun Kim
- Department of Internal Medicine, Seoul National University Hospital, Korea.,Department of Translational Medicine, Seoul National University College of Medicine, Korea
| | - Jeonghwan Youk
- Graduate School of Medical Science & Engineering (GSMSE), Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Jaeyoung Chun
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Korea.,Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Pil Im
- Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Korea
| | - Sang-Hyun Song
- Cancer Research Institute, Seoul National University, Korea
| | - Young Seok Ju
- BioMedical Science and Engineering Interdisciplinary Program (BSEIP), Korea Advanced Institute of Science and Technology, Daejeon, Korea.,Graduate School of Medical Science & Engineering (GSMSE), Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - Sae-Won Han
- Department of Internal Medicine, Seoul National University Hospital, Korea
| | - Kyu Joo Park
- Department of Surgery, Seoul National University College of Medicine, Korea
| | - Tae-You Kim
- Department of Molecular Medicine & Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Korea.,Cancer Research Institute, Seoul National University, Korea.,Department of Internal Medicine, Seoul National University Hospital, Korea
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Sükei T, Palma E, Urbani L. Interplay between Cellular and Non-Cellular Components of the Tumour Microenvironment in Hepatocellular Carcinoma. Cancers (Basel) 2021; 13:5586. [PMID: 34771746 PMCID: PMC8583132 DOI: 10.3390/cancers13215586] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 12/12/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common and lethal cancers worldwide. Currently, treatments available for advanced HCC provide dismal chances of survival, thus there is an urgent need to develop more effective therapeutic strategies. While much of the focus of recent decades has been on targeting malignant cells, promising results have emerged from targeting the tumour microenvironment (TME). The extracellular matrix (ECM) is the main non-cellular component of the TME and it profoundly changes during tumorigenesis to promote the growth and survival of malignant cells. Despite this, many in vitro models for drug testing fail to consider the TME leading to a high failure rate in clinical trials. Here, we present an overview of the function and properties of the ECM in the liver and how these change during malignant transformation. We also discuss the relationship between immune cells and ECM in the TME in HCC. Lastly, we present advanced, 3D culture techniques of cancer modelling and argue that the incorporation of TME components into these is essential to better recapitulate the complex interactions within the TME.
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Affiliation(s)
- Tamás Sükei
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, London SE5 9NT, UK; (T.S.); (E.P.)
- Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK
| | - Elena Palma
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, London SE5 9NT, UK; (T.S.); (E.P.)
- Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK
| | - Luca Urbani
- The Roger Williams Institute of Hepatology, Foundation for Liver Research, London SE5 9NT, UK; (T.S.); (E.P.)
- Faculty of Life Sciences and Medicine, King’s College London, London WC2R 2LS, UK
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45
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Yeoh Y, Low TY, Abu N, Lee PY. Regulation of signal transduction pathways in colorectal cancer: implications for therapeutic resistance. PeerJ 2021; 9:e12338. [PMID: 34733591 PMCID: PMC8544255 DOI: 10.7717/peerj.12338] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 09/28/2021] [Indexed: 12/13/2022] Open
Abstract
Resistance to anti-cancer treatments is a critical and widespread health issue that has brought serious impacts on lives, the economy and public policies. Mounting research has suggested that a selected spectrum of patients with advanced colorectal cancer (CRC) tend to respond poorly to both chemotherapeutic and targeted therapeutic regimens. Drug resistance in tumours can occur in an intrinsic or acquired manner, rendering cancer cells insensitive to the treatment of anti-cancer therapies. Multiple factors have been associated with drug resistance. The most well-established factors are the emergence of cancer stem cell-like properties and overexpression of ABC transporters that mediate drug efflux. Besides, there is emerging evidence that signalling pathways that modulate cell survival and drug metabolism play major roles in the maintenance of multidrug resistance in CRC. This article reviews drug resistance in CRC as a result of alterations in the MAPK, PI3K/PKB, Wnt/β-catenin and Notch pathways.
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Affiliation(s)
- Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nadiah Abu
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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46
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Qu J, Kalyani FS, Liu L, Cheng T, Chen L. Tumor organoids: synergistic applications, current challenges, and future prospects in cancer therapy. Cancer Commun (Lond) 2021; 41:1331-1353. [PMID: 34713636 PMCID: PMC8696219 DOI: 10.1002/cac2.12224] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/29/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
Patient-derived cancer cells (PDCs) and patient-derived xenografts (PDXs) are often used as tumor models, but have many shortcomings. PDCs not only lack diversity in terms of cell type, spatial organization, and microenvironment but also have adverse effects in stem cell cultures, whereas PDX are expensive with a low transplantation success rate and require a long culture time. In recent years, advances in three-dimensional (3D) organoid culture technology have led to the development of novel physiological systems that model the tissues of origin more precisely than traditional culture methods. Patient-derived cancer organoids bridge the conventional gaps in PDC and PDX models and closely reflect the pathophysiological features of natural tumorigenesis and metastasis, and have led to new patient-specific drug screening techniques, development of individualized treatment regimens, and discovery of prognostic biomarkers and mechanisms of resistance. Synergistic combinations of cancer organoids with other technologies, for example, organ-on-a-chip, 3D bio-printing, and CRISPR-Cas9-mediated homology-independent organoid transgenesis, and with treatments, such as immunotherapy, have been useful in overcoming their limitations and led to the development of more suitable model systems that recapitulate the complex stroma of cancer, inter-organ and intra-organ communications, and potentially multiorgan metastasis. In this review, we discuss various methods for the creation of organ-specific cancer organoids and summarize organ-specific advances and applications, synergistic technologies, and treatments as well as current limitations and future prospects for cancer organoids. Further advances will bring this novel 3D organoid culture technique closer to clinical practice in the future.
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Affiliation(s)
- Jingjing Qu
- Department of Respiratory Disease, Thoracic Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, P. R. China.,Lung Cancer and Gastroenterology Department, Hunan Cancer Hospital, Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, Hunan, 410008, P. R. China
| | - Farhin Shaheed Kalyani
- Department of Respiratory Disease, Thoracic Disease Center, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, P. R. China
| | - Li Liu
- Lung Cancer and Gastroenterology Department, Hunan Cancer Hospital, Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, Hunan, 410008, P. R. China
| | - Tianli Cheng
- Thoracic Medicine Department 1, Hunan Cancer Hospital, Affiliated Tumor Hospital of Xiangya Medical School, Central South University, Changsha, Hunan, 410008, P. R. China
| | - Lijun Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, P. R. China
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47
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Flashner S, Yan KS, Nakagawa H. 3D Organoids: An Untapped Platform for Studying Host-Microbiome Interactions in Esophageal Cancers. Microorganisms 2021; 9:2182. [PMID: 34835308 PMCID: PMC8622040 DOI: 10.3390/microorganisms9112182] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 10/15/2021] [Accepted: 10/17/2021] [Indexed: 12/12/2022] Open
Abstract
The microbiome is an emerging key co-factor in the development of esophageal cancer, the sixth leading cause of cancer death worldwide. However, there is a paucity of data delineating how the microbiome contributes to the pathobiology of the two histological subtypes of esophageal cancer: esophageal squamous cell carcinoma and esophageal adenocarcinoma. This critical knowledge gap is partially due to inadequate modeling of host-microbiome interactions in the etiology of esophageal cancers. Recent advances have enabled progress in this field. Three dimensional (3D) organoids faithfully recapitulate the structure and function of the normal, preneoplastic, and neoplastic epithelia of the esophagus ex vivo and serve as a platform translatable for applications in precision medicine. Elsewhere in the gastrointestinal (GI) tract, the co-culture of 3D organoids with the bacterial microbiome has fostered insight into the pathogenic role of the microbiome in other GI cancers. Herein, we will summarize our current understanding of the relationship between the microbiome and esophageal cancer, discuss 3D organoid models of esophageal homeostasis, review analogous models of host-microbiome interactions in other GI cancers, and advocate for the application of these models to esophageal cancers. Together, we present a promising, novel approach with the potential to ameliorate the burden of esophageal cancer-related morbidity and mortality via improved prevention and therapeutic interventions.
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Affiliation(s)
- Samuel Flashner
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; (S.F.); (K.S.Y.)
| | - Kelley S. Yan
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; (S.F.); (K.S.Y.)
- Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Hiroshi Nakagawa
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; (S.F.); (K.S.Y.)
- Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA
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48
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Wang Z, Guo Y, Jin Y, Zhang X, Geng H, Xie G, Ye D, Yu Y, Liu D, Zhou D, Li B, Luo Y, Peng S, Li J. Establishment and drug screening of patient-derived extrahepatic biliary tract carcinoma organoids. Cancer Cell Int 2021; 21:519. [PMID: 34600546 PMCID: PMC8487492 DOI: 10.1186/s12935-021-02219-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 09/20/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Patient-derived organoids (PDO) have been proposed as a novel in vitro method of drug screening for different types of cancer. However, to date, extrahepatic biliary tract carcinoma (eBTC) PDOs have not yet been fully established. METHODS We collected six samples of gallbladder carcinoma (GBC) and one sample of extrahepatic cholangiocarcinoma (eCCA) from seven patients to attempt to establish eBTC PDOs for drug screening. We successfully established five GBC and one eCCA PDOs. Histological staining was used to compare structural features between the original tissues and cancer PDOs. Whole exome sequencing (WES) was performed to analyze the genetic profiles of original tissues and cancer PDOs. Drug screening, including gemcitabine, 5-fluorouracil, cisplatin, paclitaxel, infigratinib, and ivosidenib, was measured and verified by clinical effects in certain cases. RESULTS Different PDOs exhibited diverse growth rates during in vitro culture. Hematoxylin and eosin staining demonstrated that the structures of most cancer PDOs retained the original structures of adenocarcinoma. Immunohistological and periodic acid-schiff staining revealed that marker expression in cancer PDOs was similar to that of the original specimens. Genetic profiles from the four original specimens, as well as paired cancer PDOs, were analyzed using whole exome sequencing. Three of the four PDOs exhibited a high degree of similarity when compared to the original specimens, except for GBC2 PDO, which only had a concordance of 74% in the proportion of single nucleotide polymorphisms in the coding sequence. In general, gemcitabine was found to be the most efficient drug for eBTC treatment, as it showed moderate or significant inhibitory impact on cancer growth. Results from drug screening were confirmed to a certain extent by three clinical cases. CONCLUSIONS Our study successfully established a series of eBTC PDOs, which contributed to the field of eBTC PDOs. Additional enhancements should be explored to improve the growth rate of PDOs and to preserve their immune microenvironment.
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Affiliation(s)
- Zhiwei Wang
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Yinghao Guo
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Yun Jin
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Xiaoxiao Zhang
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Hao Geng
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Guangyuan Xie
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Dan Ye
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Yuanquan Yu
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Daren Liu
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Donger Zhou
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Baizhou Li
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Yan Luo
- Department of Biochemistry and Cancer Institute of the Second Affiliated Hospital (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Department of Pharmacy, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Shuyou Peng
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Jiangtao Li
- Department of Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
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49
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Increased sensitivity to SMAC mimetic LCL161 identified by longitudinal ex vivo pharmacogenomics of recurrent, KRAS mutated rectal cancer liver metastases. J Transl Med 2021; 19:384. [PMID: 34496878 PMCID: PMC8424985 DOI: 10.1186/s12967-021-03062-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/31/2021] [Indexed: 11/22/2022] Open
Abstract
Tumor heterogeneity is a primary cause of treatment failure. However, changes in drug sensitivity over time are not well mapped in cancer. Patient-derived organoids (PDOs) may predict clinical drug responses ex vivo and offer an opportunity to evaluate novel treatment strategies in a personalized fashion. Here we have evaluated spatio-temporal functional and molecular dynamics of five PDO models established after hepatic re-resections and neoadjuvant combination chemotherapies in a patient with microsatellite stable and KRAS mutated metastatic rectal cancer. Histopathological differentiation phenotypes of the PDOs corresponded with the liver metastases, and ex vivo drug sensitivities generally reflected clinical responses and selection pressure, assessed in comparison to a reference data set of PDOs from metastatic colorectal cancers. PDOs from the initial versus the two recurrent metastatic settings showed heterogeneous cell morphologies, protein marker expression, and drug sensitivities. Exploratory analyses of a drug screen library of 33 investigational anticancer agents showed the strongest ex vivo sensitivity to the SMAC mimetic LCL161 in PDOs of recurrent disease compared to those of the initial metastasis. Functional analyses confirmed target inhibition and apoptosis induction in the LCL161 sensitive PDOs from the recurrent metastases. Gene expression analyses indicated an association between LCL161 sensitivity and tumor necrosis factor alpha signaling and RIPK1 gene expression. In conclusion, LCL161 was identified as a possible experimental therapy of a metastatic rectal cancer that relapsed after hepatic resection and standard systemic treatment.
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50
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Moosavi SH, Eide PW, Eilertsen IA, Brunsell TH, Berg KCG, Røsok BI, Brudvik KW, Bjørnbeth BA, Guren MG, Nesbakken A, Lothe RA, Sveen A. De novo transcriptomic subtyping of colorectal cancer liver metastases in the context of tumor heterogeneity. Genome Med 2021; 13:143. [PMID: 34470666 PMCID: PMC8411513 DOI: 10.1186/s13073-021-00956-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 08/17/2021] [Indexed: 12/17/2022] Open
Abstract
Background Gene expression-based subtyping has the potential to form a new paradigm for stratified treatment of colorectal cancer. However, current frameworks are based on the transcriptomic profiles of primary tumors, and metastatic heterogeneity is a challenge. Here we aimed to develop a de novo metastasis-oriented framework. Methods In total, 829 transcriptomic profiles from patients with colorectal cancer were analyzed, including primary tumors, liver metastases, and non-malignant liver samples. High-resolution microarray gene expression profiling was performed of 283 liver metastases from 171 patients treated by hepatic resection, including multiregional and/or multi-metastatic samples from each of 47 patients. A single randomly selected liver metastasis sample from each patient was used for unsupervised subtype discovery by nonnegative matrix factorization, and a random forest prediction model was trained to classify multi-metastatic samples, as well as liver metastases from two independent series of 308 additional patients. Results Initial comparisons with non-malignant liver samples and primary colorectal tumors showed a highly variable degree of influence from the liver microenvironment in metastases, which contributed to inter-metastatic transcriptomic heterogeneity, but did not define subtype distinctions. The de novo liver metastasis subtype (LMS) framework recapitulated the main distinction between epithelial-like and mesenchymal-like tumors, with a strong immune and stromal component only in the latter. We also identified biologically distinct epithelial-like subtypes originating from different progenitor cell types. LMS1 metastases had several transcriptomic features of cancer aggressiveness, including secretory progenitor cell origin, oncogenic addictions, and microsatellite instability in a microsatellite stable background, as well as frequent RAS/TP53 co-mutations. The poor-prognostic association of LMS1 metastases was independent of mutation status, clinicopathological variables, and current subtyping frameworks (consensus molecular subtypes and colorectal cancer intrinsic subtypes). LMS1 was also the least heterogeneous subtype in comparisons of multiple metastases per patient, and tumor heterogeneity did not confound the prognostic value of LMS1. Conclusions We report the first large study of multi-metastatic gene expression profiling of colorectal cancer. The new metastasis-oriented subtyping framework showed potential for clinically relevant transcriptomic classification in the context of metastatic heterogeneity, and an LMS1 mini-classifier was constructed to facilitate prognostic stratification and further clinical testing. Supplementary Information The online version contains supplementary material available at 10.1186/s13073-021-00956-1.
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Affiliation(s)
- Seyed H Moosavi
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway.,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, P.O. box 1171 Blindern, NO-0318, Oslo, Norway
| | - Peter W Eide
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway.,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway
| | - Ina A Eilertsen
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway.,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, P.O. box 1171 Blindern, NO-0318, Oslo, Norway
| | - Tuva H Brunsell
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway.,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway
| | - Kaja C G Berg
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway.,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway
| | - Bård I Røsok
- K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Department of Gastrointestinal Surgery, Oslo University Hospital, P.O. box 4950, NO-0424, Oslo, Norway
| | - Kristoffer W Brudvik
- K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Department of Gastrointestinal Surgery, Oslo University Hospital, P.O. box 4950, NO-0424, Oslo, Norway
| | - Bjørn A Bjørnbeth
- K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Department of Gastrointestinal Surgery, Oslo University Hospital, P.O. box 4950, NO-0424, Oslo, Norway
| | - Marianne G Guren
- K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Department of Oncology, Oslo University Hospital, P.O. box 4953, NO-0424, Oslo, Norway
| | - Arild Nesbakken
- K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, P.O. box 1171 Blindern, NO-0318, Oslo, Norway.,Department of Gastrointestinal Surgery, Oslo University Hospital, P.O. box 4950, NO-0424, Oslo, Norway
| | - Ragnhild A Lothe
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway.,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, P.O. box 1171 Blindern, NO-0318, Oslo, Norway
| | - Anita Sveen
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, P.O. box 4953 Nydalen, NO-0424, Oslo, Norway. .,K.G. Jebsen Colorectal Cancer Research Centre, Division for Cancer Medicine, Oslo University Hospital, P.O. Box 4953 Nydalen, NO-0424, Oslo, Norway. .,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, P.O. box 1171 Blindern, NO-0318, Oslo, Norway.
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