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The Efficacy of Using Patient-Derived Organoids to Predict Treatment Response in Colorectal Cancer. Cancers (Basel) 2023; 15:cancers15030805. [PMID: 36765763 PMCID: PMC9913532 DOI: 10.3390/cancers15030805] [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: 12/12/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
Colorectal cancer is an important cause of morbidity and mortality worldwide. The current treatment landscape includes chemotherapy, targeted therapy, immunotherapy, radiotherapy, and surgery. A key challenge to improving patient outcomes is the significant inter-patient heterogeneity in treatment response. Tumour organoids derived from the patients' tumours via surgically resected or endoscopically biopsied tissue, have emerged as promising models for personalised medicine. This review synthesises the findings, to date, of studies which have explored the efficacy of ex vivo organoid sensitivity testing for predicting treatment response. Most studies have focused on predicting the response to standard-of-care radiotherapy and chemotherapy options. There is strong evidence to support organoid sensitivity testing of ionising radiation, 5-fluorouracil, and irinotecan, and to a lesser extent, oxaliplatin and TAS-102. Fewer studies have used organoids to identify patients who are likely to benefit from novel treatment options that otherwise remain in clinical trials. This review also summarises recent advancements in organoid culture to include non-epithelial components of the tumour microenvironment, to allow testing of immunotherapy and certain targeted therapy options. Overall, further prospective trials will support the implementation of organoid-based personalised medicine for colorectal cancer patients in the future.
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52
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The application of patient-derived organoid in the research of lung cancer. Cell Oncol (Dordr) 2023; 46:503-519. [PMID: 36696006 DOI: 10.1007/s13402-023-00771-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/16/2022] [Accepted: 01/05/2023] [Indexed: 01/26/2023] Open
Abstract
Lung cancer is the most common cancer and the leading cause of cancer-related death worldwide. However, mechanisms of its progression remained unclear and new treatments against this disease are rapidly emerging. As a novel preclinical model, patient-derived organoid (PDO) can also be established from the patient's tumor tissue and cultured in the laboratory, which preserves the key biological characteristics of the original tumor. Compared to the patient-derived xenograft (PDX) model of lung cancer, the culture success rate is improved, and the time and cost of model establishment are largely reduced. PDO is also expected to provide a more individual model to predict the efficacy of anti-cancer treatment in vitro. This paper summarizes the current application of PDO in the translational research of lung cancer.
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53
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Meng Z, Niu X, Xia L, Chen Y, Wang Z, Wang H, Ji P, Cui W, Wang Y, Lu S. A 3D Ex Vivo Tumor-Immune Coculture System Mimicking In Vivo Tumor Environmental Stress on CD8+ T Cells Exhaustion. Adv Biol (Weinh) 2023:e2200264. [PMID: 36658782 DOI: 10.1002/adbi.202200264] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/11/2022] [Indexed: 01/21/2023]
Abstract
Dissection of exhaustion trajectories of immune cells under tumor selection pressure in the tumor microenvironment (TME) elucidates the underlying machinery in anti-tumor immunity, which still lacks easy-to-use models to decipher. Herein, gelatin methacryloyl (GelMA)-poly (ethylene oxide) (PEO) based 3D hydrogel microspheroids are constructed with non-immunogenicity and controllable macroporous structure to establish a tumor-immune cell coculture (3D-HyGTIC) system. In 3D-HyGTIC system, when immune cells embarked, stepwise up-regulation of main immune checkpoints (ICs) molecules is observed with compromised cytokine production in CD8+ T cells, the trajectory of which is in lineage correlation with in vivo grafted tumors. Reinvigoration of CD8+ T cells is more obvious with the addition of an anti-PD-1 regimen at the early time point, which is recapitulated during the coculture of patient-derived tumor fragments (PDTF) and autologous T cells. Moreover, the upregulation of LAG-3 on CD8+ T cells after anti-PD-1 treatment is uncovered. Sequential addition of anti-LAG-3 successfully rescues the otherwise failed reactivation of CD8+ T cells. Therefore, the 3D-HyGTIC system is not only inclined to mimic the early differentiation trajectories of tumor-infiltrating CD8+ T cells but also may facilitate an evaluation of the efficacy of IC blockades and guide the designing of combination immunotherapy.
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Affiliation(s)
- Zhouwenli Meng
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
| | - Xiaomin Niu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
| | - Liliang Xia
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
| | - Yingying Chen
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China
| | - Zhen Wang
- Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Second Road, Shanghai, 200025, P. R. China
| | - Hui Wang
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
| | - Ping Ji
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China
| | - Wenguo Cui
- Shanghai Key Laboratory for Prevention and Treatment of Bone and Joint Diseases, Shanghai Institute of Traumatology and Orthopedics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Second Road, Shanghai, 200025, P. R. China
| | - Ying Wang
- Shanghai Institute of Immunology, Department of Immunology and Microbiology, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, P. R. China
| | - Shun Lu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P. R. China
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Chen L, Zhang C, Yadav V, Wong A, Senapati S, Chang HC. A home-made pipette droplet microfluidics rapid prototyping and training kit for digital PCR, microorganism/cell encapsulation and controlled microgel synthesis. Sci Rep 2023; 13:184. [PMID: 36604528 PMCID: PMC9813469 DOI: 10.1038/s41598-023-27470-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 01/02/2023] [Indexed: 01/06/2023] Open
Abstract
Droplet microfluidics offers a platform from which new digital molecular assay, disease screening, wound healing and material synthesis technologies have been proposed. However, the current commercial droplet generation, assembly and imaging technologies are too expensive and rigid to permit rapid and broad-range tuning of droplet features/cargoes. This rapid prototyping bottleneck has limited further expansion of its application. Herein, an inexpensive home-made pipette droplet microfluidics kit is introduced. This kit includes elliptical pipette tips that can be fabricated with a simple DIY (Do-It-Yourself) tool, a unique tape-based or 3D printed shallow-center imaging chip that allows rapid monolayer droplet assembly/immobilization and imaging with a smart-phone camera or miniature microscope. The droplets are generated by manual or automatic pipetting without expensive and lab-bound microfluidic pumps. The droplet size and fluid viscosity/surface tension can be varied significantly because of our particular droplet generation, assembly and imaging designs. The versatility of this rapid prototyping kit is demonstrated with three representative applications that can benefit from a droplet microfluidic platform: (1) Droplets as microreactors for PCR reaction with reverse transcription to detect and quantify target RNAs. (2) Droplets as microcompartments for spirulina culturing and the optical color/turbidity changes in droplets with spirulina confirm successful photosynthetic culturing. (3) Droplets as templates/molds for controlled synthesis of gold-capped polyacrylamide/gold composite Janus microgels. The easily fabricated and user-friendly portable kit is hence ideally suited for design, training and educational labs.
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Affiliation(s)
- Liao Chen
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Chenguang Zhang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Vivek Yadav
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Angela Wong
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Satyajyoti Senapati
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA
| | - Hsueh-Chia Chang
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
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55
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Zhang W, Zheng X. Patient-derived xenografts or organoids in the discovery of traditional and self-assembled drug for tumor immunotherapy. Front Oncol 2023; 13:1122322. [PMID: 37081982 PMCID: PMC10110942 DOI: 10.3389/fonc.2023.1122322] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/24/2023] [Indexed: 04/22/2023] Open
Abstract
In addition to the rapid development of immune checkpoint inhibitors, there has also been a surge in the development of self-assembly immunotherapy drugs. Based on the immune target, traditional tumor immunotherapy drugs are classified into five categories, namely immune checkpoint inhibitors, direct immune modulators, adoptive cell therapy, oncolytic viruses, and cancer vaccines. Additionally, the emergence of self-assembled drugs with improved precision and environmental sensitivity offers a promising innovation approach to tumor immunotherapy. Despite rapid advances in tumor immunotherapy drug development, all candidate drugs require preclinical evaluation for safety and efficacy, and conventional evaluations are primarily conducted using two-dimensional cell lines and animal models, an approach that may be unsuitable for immunotherapy drugs. The patient-derived xenograft and organoids models, however, maintain the heterogeneity and immunity of the pathological tumor heterogeneity.
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Affiliation(s)
- Wei Zhang
- Department of Talent Highland, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaoqiang Zheng
- Department of Medical Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Institute for Stem Cell & Regenerative Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Xiaoqiang Zheng,
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56
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Dayanidhi DL, Somarelli JA, Mantyh JB, Rupprecht G, Roghani RS, Vincoff S, Shin I, Zhao Y, Kim SY, McCall S, Hong J, Hsu DS. Psymberin, a marine-derived natural product, induces cancer cell growth arrest and protein translation inhibition. Front Med (Lausanne) 2022; 9:999004. [PMID: 36743670 PMCID: PMC9894252 DOI: 10.3389/fmed.2022.999004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/18/2022] [Indexed: 01/20/2023] Open
Abstract
Colorectal cancer (CRC) is the third most prevalent form of cancer in the United States and results in over 50,000 deaths per year. Treatments for metastatic CRC are limited, and therefore there is an unmet clinical need for more effective therapies. In our prior work, we coupled high-throughput chemical screens with patient-derived models of cancer to identify new potential therapeutic targets for CRC. However, this pipeline is limited by (1) the use of cell lines that do not appropriately recapitulate the tumor microenvironment, and (2) the use of patient-derived xenografts (PDXs), which are time-consuming and costly for validation of drug efficacy. To overcome these limitations, we have turned to patient-derived organoids. Organoids are increasingly being accepted as a "standard" preclinical model that recapitulates tumor microenvironment cross-talk in a rapid, cost-effective platform. In the present work, we employed a library of natural products, intermediates, and drug-like compounds for which full synthesis has been demonstrated. Using this compound library, we performed a high-throughput screen on multiple low-passage cancer cell lines to identify potential treatments. The top candidate, psymberin, was further validated, with a focus on CRC cell lines and organoids. Mechanistic and genomics analyses pinpointed protein translation inhibition as a mechanism of action of psymberin. These findings suggest the potential of psymberin as a novel therapy for the treatment of CRC.
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Affiliation(s)
- Divya L. Dayanidhi
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Jason A. Somarelli
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - John B. Mantyh
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Gabrielle Rupprecht
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Roham Salman Roghani
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
| | - Sophia Vincoff
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Iljin Shin
- Department of Chemistry, Duke University, Durham, NC, United States
| | - Yiquan Zhao
- Department of Chemistry, Duke University, Durham, NC, United States
| | - So Young Kim
- Department of Molecular Genetics and Microbiology, Duke University, Durham, NC, United States
| | - Shannon McCall
- Department of Pathology, Duke University, Durham, NC, United States
| | - Jiyong Hong
- Department of Chemistry, Duke University, Durham, NC, United States
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, United States
| | - David S. Hsu
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Center for Genomics and Computational Biology, Duke University, Durham, NC, United States
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57
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Bose S, Barroso M, Chheda MG, Clevers H, Elez E, Kaochar S, Kopetz SE, Li XN, Meric-Bernstam F, Meyer CA, Mou H, Naegle KM, Pera MF, Perova Z, Politi KA, Raphael BJ, Robson P, Sears RC, Tabernero J, Tuveson DA, Welm AL, Welm BE, Willey CD, Salnikow K, Chuang JH, Shen X. A path to translation: How 3D patient tumor avatars enable next generation precision oncology. Cancer Cell 2022; 40:1448-1453. [PMID: 36270276 PMCID: PMC10576652 DOI: 10.1016/j.ccell.2022.09.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
3D patient tumor avatars (3D-PTAs) hold promise for next-generation precision medicine. Here, we describe the benefits and challenges of 3D-PTA technologies and necessary future steps to realize their potential for clinical decision making. 3D-PTAs require standardization criteria and prospective trials to establish clinical benefits. Innovative trial designs that combine omics and 3D-PTA readouts may lead to more accurate clinical predictors, and an integrated platform that combines diagnostic and therapeutic development will accelerate new treatments for patients with refractory disease.
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Affiliation(s)
- Shree Bose
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Margarida Barroso
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, 63110 USA
| | - Hans Clevers
- Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, Uppsalalaan 8, Utrecht, 3584 CT, Netherlands; Research and Early Development (pRED) of F. Hoffmann-La Roche Ltd, Roche Pharma, Basel, Switzerland
| | - Elena Elez
- Vall d'Hebron Hospital Campus and Institute of Oncology, International Oncology Bureau-Quiron, University of Vic-Central University of Catalonia, Barcelona, 08035 Spain
| | - Salma Kaochar
- Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Scott E Kopetz
- The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiao-Nan Li
- Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA; Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611, USA
| | - Funda Meric-Bernstam
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Clifford A Meyer
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA; Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27708, USA
| | - Haiwei Mou
- The Wistar Institute, Philadelphia, PA 19104, USA
| | - Kristen M Naegle
- Department of Biomedical Engineering and the Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | | | - Zinaida Perova
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Katerina A Politi
- Departments of Pathology and Internal Medicine (Medical Oncology), Yale School of Medicine and Yale Cancer Center, New Haven, CT 06510, USA
| | - Benjamin J Raphael
- Department of Computer Science, Princeton University, Princeton, NJ 08540, USA
| | - Paul Robson
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA
| | - Rosalie C Sears
- Department of Medical and Molecular Genetics, Oregon Health & Science University, Portland, OR 97201, USA
| | - Josep Tabernero
- Vall d'Hebron Hospital Campus and Institute of Oncology, International Oncology Bureau-Quiron, University of Vic-Central University of Catalonia, Barcelona, 08035 Spain
| | - David A Tuveson
- Lustgarten Foundation Pancreatic Cancer Research Laboratory at Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Alana L Welm
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Bryan E Welm
- Department of Surgery, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Christopher D Willey
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Konstantin Salnikow
- Division of Cancer Biology, National Cancer Institute, NIH, Rockville, MD 20850, USA.
| | - Jeffrey H Chuang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA; Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT 06032, USA; Institute for Systems Genomics, University of Connecticut, Farmington, CT 06032, USA.
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA 90024, USA.
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58
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Wang E, Xiang K, Zhang Y, Wang XF. Patient-derived organoids (PDOs) and PDO-derived xenografts (PDOXs): New opportunities in establishing faithful pre-clinical cancer models. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:263-276. [PMID: 39036550 PMCID: PMC11256726 DOI: 10.1016/j.jncc.2022.10.001] [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: 08/17/2022] [Revised: 10/11/2022] [Accepted: 10/13/2022] [Indexed: 11/05/2022] Open
Abstract
One of the major bottlenecks in advancing basic cancer research and developing novel cancer therapies is the lack of in vitro pre-clinical models that faithfully recapitulate tumor properties in the patients. Monolayer cultures of cancer cell lines usually lose the heterogeneity of the parental tumors, while patient-derived xenograft (PDX) suffers from its time- and resource-intensive nature. The emergence of organoid culture system and its application in cancer research provides a unique opportunity to develop novel in vitro cancer pre-clinical models. Here we review the recent advances in utilizing organoids culture system and other related three-dimensional culture systems in studying cancer biology, performing drug screening, and developing cancer therapies. In particular, we discuss the advantages of applying xenograft initiated from patient-derived organoids (PDOs) as a faithful cancer pre-clinical model in basic cancer research and precision medicine.
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Affiliation(s)
- Ergang Wang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, United States
| | - Kun Xiang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, United States
| | - Yun Zhang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiao-Fan Wang
- Department of Pharmacology and Cancer Biology, Duke University, Durham, United States
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59
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Werner EM, Lam BX, Hui EE. Phase-Optimized Peristaltic Pumping by Integrated Microfluidic Logic. MICROMACHINES 2022; 13:mi13101784. [PMID: 36296137 PMCID: PMC9610095 DOI: 10.3390/mi13101784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/09/2022] [Accepted: 09/12/2022] [Indexed: 06/08/2023]
Abstract
Microfluidic droplet generation typically entails an initial stabilization period on the order of minutes, exhibiting higher variation in droplet volume until the system reaches monodisperse production. The material lost during this period can be problematic when preparing droplets from limited samples such as patient biopsies. Active droplet generation strategies such as antiphase peristaltic pumping effectively reduce stabilization time but have required off-chip control hardware that reduces system accessibility. We present a fully integrated device that employs on-chip pneumatic logic to control phase-optimized peristaltic pumping. Droplet generation stabilizes in about a second, with only one or two non-uniform droplets produced initially.
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60
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Paty PB, Garcia-Aguilar J. Colorectal cancer. J Surg Oncol 2022; 126:881-887. [PMID: 36087081 DOI: 10.1002/jso.27079] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 11/12/2022]
Abstract
Although surgery is the established standard and mainstay for treatment of colorectal cancer, advances in technology and clinical trials over the past 50 years have dramatically expanded and improved the detection, staging, treatment, and understanding of this disease. This review highlights contributions by surgeons, oncologists, gastroenterologists, engineers, and scientists to increase postsurgical recurrence-free survival, reduce the time and toxicity of treatment, and improve the quality of life for patients over the past half-century.
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Affiliation(s)
- Philip B Paty
- Colorectal Surgery Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Julio Garcia-Aguilar
- Colorectal Surgery Service, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
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61
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Wang Z, Boretto M, Millen R, Natesh N, Reckzeh ES, Hsu C, Negrete M, Yao H, Quayle W, Heaton BE, Harding AT, Bose S, Driehuis E, Beumer J, Rivera GO, van Ineveld RL, Gex D, DeVilla J, Wang D, Puschhof J, Geurts MH, Yeung A, Hamele C, Smith A, Bankaitis E, Xiang K, Ding S, Nelson D, Delubac D, Rios A, Abi-Hachem R, Jang D, Goldstein BJ, Glass C, Heaton NS, Hsu D, Clevers H, Shen X. Rapid tissue prototyping with micro-organospheres. Stem Cell Reports 2022; 17:1959-1975. [PMID: 35985334 PMCID: PMC9481922 DOI: 10.1016/j.stemcr.2022.07.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/22/2022] [Accepted: 07/23/2022] [Indexed: 12/22/2022] Open
Abstract
In vitro tissue models hold great promise for modeling diseases and drug responses. Here, we used emulsion microfluidics to form micro-organospheres (MOSs), which are droplet-encapsulated miniature three-dimensional (3D) tissue models that can be established rapidly from patient tissues or cells. MOSs retain key biological features and responses to chemo-, targeted, and radiation therapies compared with organoids. The small size and large surface-to-volume ratio of MOSs enable various applications including quantitative assessment of nutrient dependence, pathogen-host interaction for anti-viral drug screening, and a rapid potency assay for chimeric antigen receptor (CAR)-T therapy. An automated MOS imaging pipeline combined with machine learning overcomes plating variation, distinguishes tumorspheres from stroma, differentiates cytostatic versus cytotoxic drug effects, and captures resistant clones and heterogeneity in drug response. This pipeline is capable of robust assessments of drug response at individual-tumorsphere resolution and provides a rapid and high-throughput therapeutic profiling platform for precision medicine.
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Affiliation(s)
- Zhaohui Wang
- Woo Center for Big Data and Precision Health, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Matteo Boretto
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Rosemary Millen
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Naveen Natesh
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Elena S Reckzeh
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Carolyn Hsu
- College of Arts and Sciences, University of Chapel Hill, Chapel Hill, NC, USA
| | - Marcos Negrete
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Haipei Yao
- Biology Department, Trinity School of Arts and Sciences, Duke University, Durham, NC, USA
| | | | - Brook E Heaton
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | - Alfred T Harding
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | - Shree Bose
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Else Driehuis
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Joep Beumer
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Grecia O Rivera
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Ravian L van Ineveld
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 Utrecht, the Netherlands; Cancer Genomics Netherlands, Oncode Institute, 3584 Utrecht, the Netherlands
| | | | | | - Daisong Wang
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Jens Puschhof
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands; Microbiome and Cancer Division, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
| | - Maarten H Geurts
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Athena Yeung
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Cait Hamele
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | | | | | - Kun Xiang
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA
| | - Shengli Ding
- Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA; Xilis, Inc., Durham, NC, USA
| | | | | | - Anne Rios
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 Utrecht, the Netherlands
| | - Ralph Abi-Hachem
- Department of Head and Neck Surgery and Communication Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - David Jang
- Department of Head and Neck Surgery and Communication Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Bradley J Goldstein
- Department of Head and Neck Surgery and Communication Sciences, School of Medicine, Duke University, Durham, NC, USA
| | - Carolyn Glass
- Department of Pathology, School of Medicine, Duke University, Durham, NC, USA
| | - Nicholas S Heaton
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | - David Hsu
- Division of Medical Oncology, Duke Cancer Institute, Duke University, Durham, NC, USA.
| | - Hans Clevers
- Oncode, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center (UMC) Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands; Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 Utrecht, the Netherlands.
| | - Xiling Shen
- Woo Center for Big Data and Precision Health, Pratt School of Engineering, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, NC, USA; Terasaki Institute, Los Angeles, CA, USA.
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Cui Y, Xiao R, Zhou Y, Liu J, Wang Y, Yang X, Shen Z, Liang B, Shen K, Li Y, Xiong G, Ye Y, Ai X. Establishment of organoid models based on a nested array chip for fast and reproducible drug testing in colorectal cancer therapy. Biodes Manuf 2022. [DOI: 10.1007/s42242-022-00206-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Vandana JJ, Lacko LA, Chen S. Expanding the precision oncology toolkit with micro-organospheres for early cancer diagnosis. Cell Stem Cell 2022; 29:873-875. [PMID: 35659872 DOI: 10.1016/j.stem.2022.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Using an automatic microfluidics droplet platform, Ding et al. successfully replicated the tumor micro-environment by generating micro-organospheres, which were then used to predict the response to anti-tumor drugs. These miniature models could be obtained within an extremely short time frame of 14 days, amplifying their role in facilitating cancer treatment decisions.
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Affiliation(s)
- J Jeya Vandana
- Department of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY, NY 10065, USA; Tri-Institutional PhD Program in Chemical Biology, Weill Cornell Medicine, The Rockefeller University, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lauretta A Lacko
- Department of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY, NY 10065, USA
| | - Shuibing Chen
- Department of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY, NY 10065, USA.
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