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Jeising S, Nickel AC, Trübel J, Felsberg J, Picard D, Leprivier G, Wolter M, Huynh MK, Olivera MB, Kaulich K, Häberle L, Esposito I, Klau GW, Steinmann J, Beez T, Rapp M, Sabel M, Dietrich S, Remke M, Cornelius JF, Reifenberger G, Qin N. A clinically compatible in vitro drug-screening platform identifies therapeutic vulnerabilities in primary cultures of brain metastases. J Neurooncol 2024:10.1007/s11060-024-04763-7. [PMID: 38985431 DOI: 10.1007/s11060-024-04763-7] [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: 01/18/2024] [Accepted: 06/28/2024] [Indexed: 07/11/2024]
Abstract
PURPOSE Brain metastases represent the most common intracranial tumors in adults and are associated with a poor prognosis. We used a personalized in vitro drug screening approach to characterize individual therapeutic vulnerabilities in brain metastases. METHODS Short-term cultures of cancer cells isolated from brain metastasis patients were molecularly characterized using next-generation sequencing and functionally evaluated using high-throughput in vitro drug screening to characterize pharmacological treatment sensitivities. RESULTS Next-generation sequencing identified matched genetic alterations in brain metastasis tissue samples and corresponding short-term cultures, suggesting that short-term cultures of brain metastases are suitable models for recapitulating the genetic profile of brain metastases that may determine their sensitivity to anti-cancer drugs. Employing a high-throughput in vitro drug screening platform, we successfully screened the cultures of five brain metastases for response to 267 anticancer compounds and related drug response to genetic data. Among others, we found that targeted treatment with JAK3, HER2, or FGFR3 inhibitors showed anti-cancer effects in individual brain metastasis cultures. CONCLUSION Our preclinical study provides a proof-of-concept for combining molecular profiling with in vitro drug screening for predictive evaluation of therapeutic vulnerabilities in brain metastasis patients. This approach could advance the use of patient-derived cancer cells in clinical practice and might eventually facilitate decision-making for personalized drug treatment.
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Affiliation(s)
- Sebastian Jeising
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Ann-Christin Nickel
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Johanna Trübel
- Department of Pediatric Oncology, Hematology, and Clinical Immunology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
- Spatial & Functional Screening Core Facility, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Jörg Felsberg
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Daniel Picard
- Department of Pediatric Oncology, Hematology, and Clinical Immunology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
| | - Gabriel Leprivier
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Marietta Wolter
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - My Ky Huynh
- Department of Computer Science, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Marlene B Olivera
- Department of Pediatric Oncology, Hematology, and Clinical Immunology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
- Spatial & Functional Screening Core Facility, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Kerstin Kaulich
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Lena Häberle
- Institute of Pathology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Irene Esposito
- Institute of Pathology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Gunnar W Klau
- Department of Computer Science, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julia Steinmann
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Thomas Beez
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Marion Rapp
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Michael Sabel
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Sascha Dietrich
- Department of Hematology, Oncology, and Clinical Immunology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Marc Remke
- Department of Pediatric Oncology, Hematology, and Clinical Immunology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
- Department of Pediatric Hematology and Oncology, University Medical Center of Saarland, Homburg/Saar, Germany
| | - Jan F Cornelius
- Department of Neurosurgery, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
| | - Guido Reifenberger
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, Düsseldorf, Germany
| | - Nan Qin
- Department of Hematology, Oncology, and Clinical Immunology, Medical Faculty, Heinrich Heine University, University Hospital Düsseldorf, Düsseldorf, Germany.
- Spatial & Functional Screening Core Facility, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
- Institute of Neuropathology, Medical Faculty, Heinrich Heine University, and University Hospital Düsseldorf, Düsseldorf, Germany.
- Mildred Scheel School of Oncology Aachen Bonn Cologne Düsseldorf (MSSO ABCD), Düsseldorf, Germany.
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Hammerhøj A, Chakravarti D, Sato T, Jensen KB, Nielsen OH. Organoids as regenerative medicine for inflammatory bowel disease. iScience 2024; 27:110118. [PMID: 38947526 PMCID: PMC11214415 DOI: 10.1016/j.isci.2024.110118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024] Open
Abstract
Inflammatory bowel disease (IBD) is a chronic disorder with an increasing global prevalence. Managing disease activity relies on various pharmacological options. However, the effectiveness of current therapeutics is limited and not universally applicable to all patients and circumstances. Consequently, developing new management strategies is necessary. Recent advances in endoscopically obtained intestinal biopsy specimens have highlighted the potential of intestinal epithelial organoid transplantation as a novel therapeutic approach. Experimental studies using murine and human organoid transplantations have shown promising outcomes, including tissue regeneration and functional recovery. Human trials with organoid therapy have commenced; thus, this article provides readers with insights into the necessity and potential of intestinal organoid transplantation as a new regenerative therapeutic option in clinical settings and explores its associated challenges.
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Affiliation(s)
- Alexander Hammerhøj
- Department of Gastroenterology, Herlev Hospital, University of Copenhagen, Herlev, Denmark
| | - Deepavali Chakravarti
- Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Toshiro Sato
- Department of Organoid Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kim Bak Jensen
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Haagen Nielsen
- Department of Gastroenterology, Herlev Hospital, University of Copenhagen, Herlev, Denmark
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3
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Faeed M, Ghiasvand M, Fareghzadeh B, Taghiyar L. Osteochondral organoids: current advances, applications, and upcoming challenges. Stem Cell Res Ther 2024; 15:183. [PMID: 38902814 PMCID: PMC11191177 DOI: 10.1186/s13287-024-03790-5] [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: 02/05/2024] [Accepted: 06/09/2024] [Indexed: 06/22/2024] Open
Abstract
In the realm of studying joint-related diseases, there is a continuous quest for more accurate and representative models. Recently, regenerative medicine and tissue engineering have seen a growing interest in utilizing organoids as powerful tools for studying complex biological systems in vitro. Organoids, three-dimensional structures replicating the architecture and function of organs, provide a unique platform for investigating disease mechanisms, drug responses, and tissue regeneration. The surge in organoid research is fueled by the need for physiologically relevant models to bridge the gap between traditional cell cultures and in vivo studies. Osteochondral organoids have emerged as a promising avenue in this pursuit, offering a better platform to mimic the intricate biological interactions within bone and cartilage. This review explores the significance of osteochondral organoids and the need for their development in advancing our understanding and treatment of bone and cartilage-related diseases. It summarizes osteochondral organoids' insights and research progress, focusing on their composition, materials, cell sources, and cultivation methods, as well as the concept of organoids on chips and application scenarios. Additionally, we address the limitations and challenges these organoids face, emphasizing the necessity for further research to overcome these obstacles and facilitate orthopedic regeneration.
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Affiliation(s)
- Maryam Faeed
- Cell and Molecular School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Mahsa Ghiasvand
- Department of Animal Sciences and Marine Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
- Department of Stem Cell and Developmental Biology, Cell Science Research Center, Royan Institute for Stem cell Biology and Technology, ACECR, Tehran, Iran
| | - Bahar Fareghzadeh
- Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Leila Taghiyar
- Department of Stem Cell and Developmental Biology, Cell Science Research Center, Royan Institute for Stem cell Biology and Technology, ACECR, Tehran, Iran.
- Advanced Therapy Medicinal Product Technology Development Center (ATMP-TDC), Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
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Ostendorf BN. Recapitulating the tumor microenvironment in a dish, one cell type at a time. CELL REPORTS METHODS 2024; 4:100800. [PMID: 38889689 PMCID: PMC11228367 DOI: 10.1016/j.crmeth.2024.100800] [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: 05/28/2024] [Accepted: 05/28/2024] [Indexed: 06/20/2024]
Abstract
The tumor microenvironment harbors a variety of different cell types that differentially impact tumor biology. In this issue of Cell Reports Methods, Raffo-Romero et al. standardized and optimized 3D tumor organoids to model the interactions between tumor-associated macrophages and tumor cells in vitro.
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Affiliation(s)
- Benjamin N Ostendorf
- Department of Hematology, Oncology, and Tumor Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health, Berlin, Germany; Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), Heidelberg, Germany.
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5
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Branciforti F, Salvi M, D’Agostino F, Marzola F, Cornacchia S, De Titta MO, Mastronuzzi G, Meloni I, Moschetta M, Porciani N, Sciscenti F, Spertini A, Spilla A, Zagaria I, Deloria AJ, Deng S, Haindl R, Szakacs G, Csiszar A, Liu M, Drexler W, Molinari F, Meiburger KM. Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks. Diagnostics (Basel) 2024; 14:1217. [PMID: 38928633 PMCID: PMC11203156 DOI: 10.3390/diagnostics14121217] [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: 04/11/2024] [Revised: 05/29/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024] Open
Abstract
Recent years have ushered in a transformative era in in vitro modeling with the advent of organoids, three-dimensional structures derived from stem cells or patient tumor cells. Still, fully harnessing the potential of organoids requires advanced imaging technologies and analytical tools to quantitatively monitor organoid growth. Optical coherence tomography (OCT) is a promising imaging modality for organoid analysis due to its high-resolution, label-free, non-destructive, and real-time 3D imaging capabilities, but accurately identifying and quantifying organoids in OCT images remain challenging due to various factors. Here, we propose an automatic deep learning-based pipeline with convolutional neural networks that synergistically includes optimized preprocessing steps, the implementation of a state-of-the-art deep learning model, and ad-hoc postprocessing methods, showcasing good generalizability and tracking capabilities over an extended period of 13 days. The proposed tracking algorithm thoroughly documents organoid evolution, utilizing reference volumes, a dual branch analysis, key attribute evaluation, and probability scoring for match identification. The proposed comprehensive approach enables the accurate tracking of organoid growth and morphological changes over time, advancing organoid analysis and serving as a solid foundation for future studies for drug screening and tumor drug sensitivity detection based on organoids.
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Affiliation(s)
- Francesco Branciforti
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Massimo Salvi
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Filippo D’Agostino
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Francesco Marzola
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Sara Cornacchia
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Maria Olimpia De Titta
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Girolamo Mastronuzzi
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Isotta Meloni
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Miriam Moschetta
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Niccolò Porciani
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Fabrizio Sciscenti
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Alessandro Spertini
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Andrea Spilla
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Ilenia Zagaria
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Abigail J. Deloria
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (A.J.D.); (S.D.); (R.H.); (M.L.); (W.D.)
| | - Shiyu Deng
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (A.J.D.); (S.D.); (R.H.); (M.L.); (W.D.)
| | - Richard Haindl
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (A.J.D.); (S.D.); (R.H.); (M.L.); (W.D.)
| | - Gergely Szakacs
- Center for Cancer Research, Medical University of Vienna, 1090 Vienna, Austria; (G.S.); (A.C.)
| | - Agnes Csiszar
- Center for Cancer Research, Medical University of Vienna, 1090 Vienna, Austria; (G.S.); (A.C.)
| | - Mengyang Liu
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (A.J.D.); (S.D.); (R.H.); (M.L.); (W.D.)
| | - Wolfgang Drexler
- Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria; (A.J.D.); (S.D.); (R.H.); (M.L.); (W.D.)
| | - Filippo Molinari
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
| | - Kristen M. Meiburger
- Biolab, PolitoMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy; (F.B.); (M.S.); (F.D.); (F.M.); (S.C.); (M.O.D.T.); (G.M.); (I.M.); (M.M.); (N.P.); (F.S.); (A.S.); (A.S.); (I.Z.); (F.M.)
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Avci CB, Bagca BG, Shademan B, Takanlou LS, Takanlou MS, Nourazarian A. The future of cancer therapy: exploring the potential of patient-derived organoids in drug development. Front Cell Dev Biol 2024; 12:1401504. [PMID: 38835507 PMCID: PMC11149425 DOI: 10.3389/fcell.2024.1401504] [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: 03/15/2024] [Accepted: 05/06/2024] [Indexed: 06/06/2024] Open
Abstract
Cancer therapy is on the brink of a significant transformation with the inclusion of patient-derived organoids (PDOs) in drug development. These three-dimensional cell cultures, directly derived from a patient's tumor, accurately replicate the complex structure and genetic makeup of the original cancer. This makes them a promising tool for advancing oncology. In this review, we explore the practical applications of PDOs in clinical drug screening and pharmacognostic assessment, as well as their role in refining therapeutic strategies. We provide insights into the latest advancements in PDO technology and its implications for predicting treatment responses and facilitating novel drug discoveries. Additionally, we address the operational challenges associated with incorporating PDOs into the drug development process, such as scaling up organoid cultures, ensuring consistent results, and addressing the ethical use of patient-derived materials. Aimed at researchers, clinicians, and key stakeholders in oncology, this article aims to succinctly present both the extraordinary potential and the obstacles to integrating PDOs, thereby shedding light on their prospective impact on the future of cancer treatment.
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Affiliation(s)
- Cigir Biray Avci
- Department of Medical Biology, Faculty of Medicine, Ege University, Izmir, Türkiye
| | - Bakiye Goker Bagca
- Department of Medical Biology, Faculty of Medicine, Adnan Menderes University, Aydın, Türkiye
| | - Behrouz Shademan
- Stem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | | | - Alireza Nourazarian
- Department of Basic Medical Sciences, Khoy University of Medical Sciences, Khoy, Iran
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7
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Maharjan S, Ma C, Singh B, Kang H, Orive G, Yao J, Shrike Zhang Y. Advanced 3D imaging and organoid bioprinting for biomedical research and therapeutic applications. Adv Drug Deliv Rev 2024; 208:115237. [PMID: 38447931 PMCID: PMC11031334 DOI: 10.1016/j.addr.2024.115237] [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: 11/08/2023] [Revised: 01/15/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024]
Abstract
Organoid cultures offer a valuable platform for studying organ-level biology, allowing for a closer mimicry of human physiology compared to traditional two-dimensional cell culture systems or non-primate animal models. While many organoid cultures use cell aggregates or decellularized extracellular matrices as scaffolds, they often lack precise biochemical and biophysical microenvironments. In contrast, three-dimensional (3D) bioprinting allows precise placement of organoids or spheroids, providing enhanced spatial control and facilitating the direct fusion for the formation of large-scale functional tissues in vitro. In addition, 3D bioprinting enables fine tuning of biochemical and biophysical cues to support organoid development and maturation. With advances in the organoid technology and its potential applications across diverse research fields such as cell biology, developmental biology, disease pathology, precision medicine, drug toxicology, and tissue engineering, organoid imaging has become a crucial aspect of physiological and pathological studies. This review highlights the recent advancements in imaging technologies that have significantly contributed to organoid research. Additionally, we discuss various bioprinting techniques, emphasizing their applications in organoid bioprinting. Integrating 3D imaging tools into a bioprinting platform allows real-time visualization while facilitating quality control, optimization, and comprehensive bioprinting assessment. Similarly, combining imaging technologies with organoid bioprinting can provide valuable insights into tissue formation, maturation, functions, and therapeutic responses. This approach not only improves the reproducibility of physiologically relevant tissues but also enhances understanding of complex biological processes. Thus, careful selection of bioprinting modalities, coupled with appropriate imaging techniques, holds the potential to create a versatile platform capable of addressing existing challenges and harnessing opportunities in these rapidly evolving fields.
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Affiliation(s)
- Sushila Maharjan
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA
| | - Chenshuo Ma
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA
| | - Bibhor Singh
- Winthrop L. Chenery Upper Elementary School, Belmont, MA 02478, USA
| | - Heemin Kang
- Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea; College of Medicine, Korea University, Seoul 02841, Republic of Korea
| | - Gorka Orive
- NanoBioCel Research Group, School of Pharmacy, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain; Bioaraba, NanoBioCel Research Group, Vitoria-Gasteiz, Spain; Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN). Vitoria-Gasteiz, Spain; University Institute for Regenerative Medicine and Oral Implantology - UIRMI (UPV/EHU-Fundación Eduardo Anitua), Vitoria, 01007, Spain; Singapore Eye Research Institute, The Academia, 20 College Road, Discovery Tower, Singapore 169856, Singapore
| | - Junjie Yao
- Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA 02139, USA.
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Lee HHC, Latzer IT, Bertoldi M, Gao G, Pearl PL, Sahin M, Rotenberg A. Gene replacement therapies for inherited disorders of neurotransmission: Current progress in succinic semialdehyde dehydrogenase deficiency. J Inherit Metab Dis 2024; 47:476-493. [PMID: 38581234 PMCID: PMC11096052 DOI: 10.1002/jimd.12735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 03/06/2024] [Accepted: 03/20/2024] [Indexed: 04/08/2024]
Abstract
Neurodevelopment is a highly organized and complex process involving lasting and often irreversible changes in the central nervous system. Inherited disorders of neurotransmission (IDNT) are a group of genetic disorders where neurotransmission is primarily affected, resulting in abnormal brain development from early life, manifest as neurodevelopmental disorders and other chronic conditions. In principle, IDNT (particularly those of monogenic causes) are amenable to gene replacement therapy via precise genetic correction. However, practical challenges for gene replacement therapy remain major hurdles for its translation from bench to bedside. We discuss key considerations for the development of gene replacement therapies for IDNT. As an example, we describe our ongoing work on gene replacement therapy for succinic semialdehyde dehydrogenase deficiency, a GABA catabolic disorder.
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Affiliation(s)
- Henry HC Lee
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Boston, MA 02115, USA
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Itay Tokatly Latzer
- Division of Epilepsy & Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
- Tel-Aviv University Faculty of Medicine, Tel-Aviv, Israel
| | - Mariarita Bertoldi
- Dept. of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Guangping Gao
- The Horae Gene Therapy Center, UMass Medical School, MA 01605, USA
| | - Phillip L Pearl
- Division of Epilepsy & Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Mustafa Sahin
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Boston, MA 02115, USA
- Rosamund Stone Zander Translational Neuroscience Center, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Alexander Rotenberg
- F.M. Kirby Neurobiology Center, Boston Children’s Hospital, Boston, MA 02115, USA
- Division of Epilepsy & Clinical Neurophysiology, Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USA
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9
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Bustamante-Madrid P, Barbáchano A, Albandea-Rodríguez D, Rodríguez-Cobos J, Rodríguez-Salas N, Prieto I, Burgos A, Martínez de Villarreal J, Real FX, González-Sancho JM, Larriba MJ, Lafarga M, Muñoz A, Fernández-Barral A. Vitamin D opposes multilineage cell differentiation induced by Notch inhibition and BMP4 pathway activation in human colon organoids. Cell Death Dis 2024; 15:301. [PMID: 38684650 PMCID: PMC11058856 DOI: 10.1038/s41419-024-06680-z] [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: 12/11/2023] [Revised: 04/08/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024]
Abstract
Understanding the mechanisms involved in colonic epithelial differentiation is key to unraveling the alterations causing inflammatory conditions and cancer. Organoid cultures provide an unique tool to address these questions but studies are scarce. We report a differentiation system toward enterocytes and goblet cells, the two major colonic epithelial cell lineages, using colon organoids generated from healthy tissue of colorectal cancer patients. Culture of these organoids in medium lacking stemness agents resulted in a modest ultrastructural differentiation phenotype with low-level expression of enterocyte (KLF4, KRT20, CA1, FABP2) and goblet cell (TFF2, TFF3, AGR2) lineage markers. BMP pathway activation through depletion of Noggin and addition of BMP4 resulted in enterocyte-biased differentiation. Contrarily, blockade of the Notch pathway using the γ-secretase inhibitor dibenzazepine (DBZ) favored goblet cell differentiation. Combination treatment with BMP4 and DBZ caused a balanced strong induction of both lineages. In contrast, colon tumor organoids responded poorly to BMP4 showing only weak signals of cell differentiation, and were unresponsive to DBZ. We also investigated the effects of 1α,25-dihydroxyvitamin D3 (calcitriol) on differentiation. Calcitriol attenuated the effects of BMP4 and DBZ on colon normal organoids, with reduced expression of differentiation genes and phenotype. Consistently, in normal organoids, calcitriol inhibited early signaling by BMP4 as assessed by reduction of the level of phospho-SMAD1/5/8. Our results show that BMP and Notch signaling play key roles in human colon stem cell differentiation to the enterocytic and goblet cell lineages and that calcitriol modulates these processes favoring stemness features.
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Affiliation(s)
- Pilar Bustamante-Madrid
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
| | - Antonio Barbáchano
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
| | - David Albandea-Rodríguez
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
| | - Javier Rodríguez-Cobos
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
| | - Nuria Rodríguez-Salas
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
- Servicio de Oncología Médica, Hospital Universitario La Paz, 28046, Madrid, Spain
| | - Isabel Prieto
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
- Servicio de Cirugía General, Hospital Universitario La Paz, 28046, Madrid, Spain
| | - Aurora Burgos
- Servicio de Digestivo, Hospital Universitario La Paz, 28046, Madrid, Spain
| | - Jaime Martínez de Villarreal
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Centro Nacional de Investigaciones Oncológicas (CNIO), 28029, Madrid, Spain
| | - Francisco X Real
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Centro Nacional de Investigaciones Oncológicas (CNIO), 28029, Madrid, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - José Manuel González-Sancho
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
| | - María Jesús Larriba
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain
| | - Miguel Lafarga
- Departamento de Anatomía y Biología Celular, Universidad de Cantabria-IDIVAL, 39008, Santander, Spain
| | - Alberto Muñoz
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain.
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain.
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain.
| | - Asunción Fernández-Barral
- Instituto de Investigaciones Biomédicas Sols-Morreale, CSIC-UAM, 28029, Madrid, Spain.
- Centro de Investigación Biomédica en Red-Cáncer (CIBERONC), 28029, Madrid, Spain.
- Instituto de Investigación Sanitaria Hospital Universitario La Paz (IdiPAZ), 28046, Madrid, Spain.
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10
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Mei J, Liu X, Tian H, Chen Y, Cao Y, Zeng J, Liu Y, Chen Y, Gao Y, Yin J, Wang P. Tumour organoids and assembloids: Patient-derived cancer avatars for immunotherapy. Clin Transl Med 2024; 14:e1656. [PMID: 38664597 PMCID: PMC11045561 DOI: 10.1002/ctm2.1656] [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: 09/27/2023] [Revised: 03/24/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Organoid technology is an emerging and rapidly growing field that shows promise in studying organ development and screening therapeutic regimens. Although organoids have been proposed for a decade, concerns exist, including batch-to-batch variations, lack of the native microenvironment and clinical applicability. MAIN BODY The concept of organoids has derived patient-derived tumour organoids (PDTOs) for personalized drug screening and new drug discovery, mitigating the risks of medication misuse. The greater the similarity between the PDTOs and the primary tumours, the more influential the model will be. Recently, 'tumour assembloids' inspired by cell-coculture technology have attracted attention to complement the current PDTO technology. High-quality PDTOs must reassemble critical components, including multiple cell types, tumour matrix, paracrine factors, angiogenesis and microorganisms. This review begins with a brief overview of the history of organoids and PDTOs, followed by the current approaches for generating PDTOs and tumour assembloids. Personalized drug screening has been practised; however, it remains unclear whether PDTOs can predict immunotherapies, including immune drugs (e.g. immune checkpoint inhibitors) and immune cells (e.g. tumour-infiltrating lymphocyte, T cell receptor-engineered T cell and chimeric antigen receptor-T cell). PDTOs, as cancer avatars of the patients, can be expanded and stored to form a biobank. CONCLUSION Fundamental research and clinical trials are ongoing, and the intention is to use these models to replace animals. Pre-clinical immunotherapy screening using PDTOs will be beneficial to cancer patients. KEY POINTS The current PDTO models have not yet constructed key cellular and non-cellular components. PDTOs should be expandable and editable. PDTOs are promising preclinical models for immunotherapy unless mature PDTOs can be established. PDTO biobanks with consensual standards are urgently needed.
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Affiliation(s)
- Jie Mei
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
- Department of Clinical Pharmacology, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of PharmacogeneticsCentral South UniversityChangshaPeople's Republic of China
- Engineering Research Center of Applied Technology of PharmacogenomicsMinistry of EducationChangshaPeople's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Xingjian Liu
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
| | - Hui‐Xiang Tian
- Department of Clinical Pharmacology, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of PharmacogeneticsCentral South UniversityChangshaPeople's Republic of China
| | - Yixuan Chen
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
| | - Yang Cao
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
| | - Jun Zeng
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
- Department of Thoracic Surgery, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Yung‐Chiang Liu
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
| | - Yaping Chen
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
| | - Yang Gao
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
- Department of Thoracic Surgery, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
- Hunan Engineering Research Center for Pulmonary Nodules Precise Diagnosis and Treatment, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
- Xiangya Lung Cancer Center, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Ji‐Ye Yin
- Department of Clinical Pharmacology, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
- Institute of Clinical Pharmacology, Hunan Key Laboratory of PharmacogeneticsCentral South UniversityChangshaPeople's Republic of China
- Engineering Research Center of Applied Technology of PharmacogenomicsMinistry of EducationChangshaPeople's Republic of China
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Peng‐Yuan Wang
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of AgingWenzhou Medical UniversityWenzhouPeople's Republic of China
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11
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McGreevy O, Bosakhar M, Gilbert T, Quinn M, Fenwick S, Malik H, Goldring C, Randle L. The importance of preclinical models in cholangiocarcinoma. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2024:108304. [PMID: 38653585 DOI: 10.1016/j.ejso.2024.108304] [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: 03/20/2024] [Accepted: 03/23/2024] [Indexed: 04/25/2024]
Abstract
Cholangiocarcinoma (CCA) is an adenocarcinoma of the hepatobiliary system with a grim prognosis. Incidence is rising globally and surgery is currently the only curative treatment, but is only available for patients who are fit and diagnosed in an early-stage of disease progression. Great importance has been placed on developing preclinical models to help further our understanding of CCA and potential treatments to improve therapeutic outcomes. Preclinical models of varying complexity and cost have been established, ranging from more simplistic in vitro 2D CCA cell lines in culture, to more complex in vivo genetically engineered mouse models. Currently there is no single model that faithfully recaptures the complexities of human CCA and the in vivo tumour microenvironment. Instead a multi-model approach should be used when designing preclinical trials to study CCA and potential therapies.
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Affiliation(s)
- Owen McGreevy
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, Sherrington Building, Ashton Street, Liverpool, L69 3GE, UK
| | - Mohammed Bosakhar
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, Sherrington Building, Ashton Street, Liverpool, L69 3GE, UK
| | - Timothy Gilbert
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, Sherrington Building, Ashton Street, Liverpool, L69 3GE, UK; Hepatobiliary Surgery, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool University Hospital, Prescot Street, L7 8XP, Liverpool, UK
| | - Marc Quinn
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, Sherrington Building, Ashton Street, Liverpool, L69 3GE, UK; Hepatobiliary Surgery, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool University Hospital, Prescot Street, L7 8XP, Liverpool, UK
| | - Stephen Fenwick
- Hepatobiliary Surgery, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool University Hospital, Prescot Street, L7 8XP, Liverpool, UK
| | - Hassan Malik
- Hepatobiliary Surgery, Liverpool University Hospitals NHS Foundation Trust, Royal Liverpool University Hospital, Prescot Street, L7 8XP, Liverpool, UK
| | - Christopher Goldring
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, Sherrington Building, Ashton Street, Liverpool, L69 3GE, UK
| | - Laura Randle
- The Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, Sherrington Building, Ashton Street, Liverpool, L69 3GE, UK.
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12
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Wang W, Fu YX. Promises and challenges of organoids: From humanized to human derived. Cell Stem Cell 2024; 31:281-282. [PMID: 38458173 DOI: 10.1016/j.stem.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 03/10/2024]
Abstract
Kastenschmidt et al.1 present a groundbreaking organoid culture model for follicular lymphoma, which is capable of maintaining stable compositions of B and T cells. This model is utilized in testing bispecific antibodies in effective killing of tumor B cells with the activation of T cells.
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Affiliation(s)
- Wenyan Wang
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; State Key Laboratory of Molecular Oncology, Tsinghua University, Beijing 100084, China.
| | - Yang-Xin Fu
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China; State Key Laboratory of Molecular Oncology, Tsinghua University, Beijing 100084, China.
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13
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Mack E. [Precision medicine in oncology]. INNERE MEDIZIN (HEIDELBERG, GERMANY) 2024; 65:194-201. [PMID: 37921995 DOI: 10.1007/s00108-023-01614-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/28/2023] [Indexed: 11/05/2023]
Abstract
Personalized oncology according to current practice is primarily based on tumor biology, which is translated into genomic biomarkers. Mutations in oncogenes and tumor suppressor genes are targeted by rationally designed drugs and, conversely, are used to inform tailored treatment strategies. Faster and cheaper technologies for DNA sequencing enable genomic medicine in a clinical routine setting. Genomic features, tumor biology and clinical implications are integrated into individual therapy recommendations by molecular tumor boards, which have been established at many cancer centers in Germany and worldwide throughout recent years. This article discusses the promises and limitations of genomics-centered precision oncology and highlights future avenues and alternative approaches to individualize cancer treatment.
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Affiliation(s)
- Elisabeth Mack
- Klinik für Hämatologie, Onkologie und Immunologie, Universitätsklinikum Gießen und Marburg GmbH, Standort Marburg, Philipps-Universität Marburg, Baldingerstr., 35043, Marburg, Deutschland.
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14
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Khorsandi D, Yang JW, Foster S, Khosravi S, Hosseinzadeh Kouchehbaghi N, Zarei F, Lee YB, Runa F, Gangrade A, Voskanian L, Adnan D, Zhu Y, Wang Z, Jucaud V, Dokmeci MR, Shen X, Bishehsari F, Kelber JA, Khademhosseini A, de Barros NR. Patient-Derived Organoids as Therapy Screening Platforms in Cancer Patients. Adv Healthc Mater 2024:e2302331. [PMID: 38359321 DOI: 10.1002/adhm.202302331] [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: 07/21/2023] [Revised: 11/28/2023] [Indexed: 02/17/2024]
Abstract
Patient-derived organoids (PDOs) developed ex vivo and in vitro are increasingly used for therapeutic screening. They provide a more physiologically relevant model for drug discovery and development compared to traditional cell lines. However, several challenges remain to be addressed to fully realize the potential of PDOs in therapeutic screening. This paper summarizes recent advancements in PDO development and the enhancement of PDO culture models. This is achieved by leveraging materials engineering and microfabrication technologies, including organs-on-a-chip and droplet microfluidics. Additionally, this work discusses the application of PDOs in therapy screening to meet diverse requirements and overcome bottlenecks in cancer treatment. Furthermore, this work introduces tools for data processing and analysis of organoids, along with their microenvironment. These tools aim to achieve enhanced readouts. Finally, this work explores the challenges and future perspectives of using PDOs in drug development and personalized screening for cancer patients.
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Affiliation(s)
- Danial Khorsandi
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Jia-Wei Yang
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Samuel Foster
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Safoora Khosravi
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Negar Hosseinzadeh Kouchehbaghi
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
- Department of Textile Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Avenue, Tehran, 1591634311, Iran
| | - Fahimeh Zarei
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Yun Bin Lee
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Farhana Runa
- Department of Biology, California State University Northridge, 18111 Nordhoff Street, Northridge, California, 91330, USA
| | - Ankit Gangrade
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Leon Voskanian
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Darbaz Adnan
- Rush Center for Integrated Microbiome and Chronobiology Research, Rush Medical College, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Yangzhi Zhu
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Zhaohui Wang
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
- Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Vadim Jucaud
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Mehmet Remzi Dokmeci
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Xiling Shen
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Faraz Bishehsari
- Rush Center for Integrated Microbiome and Chronobiology Research, Rush Medical College, Rush University Medical Center, Chicago, IL, 60612, USA
- Division of Digestive Diseases, Rush Center for Integrated Microbiome & Chronobiology Research, Rush University Medical Center, Chicago, IL, 60612, USA
| | - Jonathan A Kelber
- Department of Biology, California State University Northridge, 18111 Nordhoff Street, Northridge, California, 91330, USA
- Department of Biology, Baylor University, 101 Bagby Ave, Waco, Texas, 76706, USA
| | - Ali Khademhosseini
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
| | - Natan Roberto de Barros
- Department of Bioengineering, Terasaki Institute for Biomedical Innovation (TIBI), 1018 Westwood Blvd, Los Angeles, California, 91367, USA
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15
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Schmäche T, Fohgrub J, Klimova A, Laaber K, Drukewitz S, Merboth F, Hennig A, Seidlitz T, Herbst F, Baenke F, Ada AM, Groß T, Wenzel C, Ball CR, Praetorius C, Schmidt T, Ringelband-Schilling B, Koschny R, Stenzinger A, Roeder I, Jaeger D, Zeissig S, Welsch T, Aust D, Glimm H, Folprecht G, Weitz J, Haag GM, Stange DE. Stratifying esophago-gastric cancer treatment using a patient-derived organoid-based threshold. Mol Cancer 2024; 23:10. [PMID: 38200602 PMCID: PMC10777586 DOI: 10.1186/s12943-023-01919-3] [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: 11/17/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND AND AIMS This study sought to determine the value of patient-derived organoids (PDOs) from esophago-gastric adenocarcinoma (EGC) for response prediction to neoadjuvant chemotherapy (neoCTx). METHODS Endoscopic biopsies of patients with locally advanced EGC (n = 120) were taken into culture and PDOs expanded. PDOs' response towards the single substances of the FLOT regimen and the combination treatment were correlated to patients' pathological response using tumor regression grading. A classifier based on FLOT response of PDOs was established in an exploratory cohort (n = 13) and subsequently confirmed in an independent validation cohort (n = 13). RESULTS EGC PDOs reflected patients' diverse responses to single chemotherapeutics and the combination regimen FLOT. In the exploratory cohort, PDOs response to single 5-FU and FLOT combination treatment correlated with the patients' pathological response (5-FU: Kendall's τ = 0.411, P = 0.001; FLOT: Kendall's τ = 0.694, P = 2.541e-08). For FLOT testing, a high diagnostic precision in receiver operating characteristic (ROC) analysis was reached with an AUCROC of 0.994 (CI 0.980 to 1.000). The discriminative ability of PDO-based FLOT testing allowed the definition of a threshold, which classified in an independent validation cohort FLOT responders from non-responders with high sensitivity (90%), specificity (100%) and accuracy (92%). CONCLUSION In vitro drug testing of EGC PDOs has a high predictive accuracy in classifying patients' histological response to neoadjuvant FLOT treatment. Taking into account the high rate of successful PDO expansion from biopsies, the definition of a threshold that allows treatment stratification paves the way for an interventional trial exploring PDO-guided treatment of EGC patients.
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Affiliation(s)
- Tim Schmäche
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Juliane Fohgrub
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Anna Klimova
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Institute for Medical Informatics and Biometry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Karin Laaber
- German Cancer Research Center (DKFZ) Heidelberg, Translational Functional Cancer Genomics, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Stephan Drukewitz
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Core Unit for Molecular Tumor Diagnostics (CMTD), Technical University Dresden, Dresden, Germany
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Felix Merboth
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
| | - Alexander Hennig
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Therese Seidlitz
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
| | - Friederike Herbst
- German Cancer Research Center (DKFZ) Heidelberg, Translational Functional Cancer Genomics, Heidelberg, Germany
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Franziska Baenke
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
| | - Anne-Marlen Ada
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
| | - Thomas Groß
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Core Unit for Molecular Tumor Diagnostics (CMTD), Technical University Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), Dresden, Germany
| | - Carina Wenzel
- Institute of Pathology, University Hospital Carl Gustav CarusTechnische Universität Dresden, Dresden, Germany
| | - Claudia R Ball
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Department for Translational Medical Oncology, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav CarusTechnische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner side Dresden, Dresden, Germany
- TUD Dresden University of Technology, Faculty of Biology, Technische Universität Dresden, Dresden, Germany
| | - Christian Praetorius
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Thomas Schmidt
- Department of General, Visceral and Transplantation Surgery, University Hospital of Heidelberg, Heidelberg, Germany
- Department of General, Visceral, Cancer and Transplantation Surgery, University Hospital of Cologne, Cologne, Germany
| | - Barbara Ringelband-Schilling
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
| | - Ronald Koschny
- Department of Gastroenterology and Hepatology, University Hospital of Heidelberg, Heidelberg, Germany
| | | | - Ingo Roeder
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Institute for Medical Informatics and Biometry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Dirk Jaeger
- Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumor-Immunity, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sebastian Zeissig
- Department of Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
- Center for Regenerative Therapies (CRTD), Technische Universität Dresden, Dresden, Germany
| | - Thilo Welsch
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
- Department of General, Visceral, and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Daniela Aust
- Institute of Pathology, University Hospital Carl Gustav CarusTechnische Universität Dresden, Dresden, Germany
- Tumour- and Normal Tissue Bank of the University Cancer Center (UCC), University Hospital Carl Gustav Carus, Medical Faculty, Technische Universität Dresden, Dresden, Germany
| | - Hanno Glimm
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- German Cancer Research Center (DKFZ) Heidelberg, Translational Functional Cancer Genomics, Heidelberg, Germany
- Department for Translational Medical Oncology, National Center for Tumor Diseases Dresden (NCT/UCC), Dresden, Germany
- Translational Medical Oncology, Faculty of Medicine and University Hospital Carl Gustav CarusTechnische Universität Dresden, Dresden, Germany
- German Cancer Consortium (DKTK), partner side Dresden, Dresden, Germany
| | - Gunnar Folprecht
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
- Department of Medicine I, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Jürgen Weitz
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Georg M Haag
- Department of Medical Oncology, National Center for Tumor Diseases (NCT), Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumor-Immunity, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel E Stange
- Department of Visceral, Thoracic and Vascular Surgery, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, Dresden, 01307, Germany.
- National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.
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16
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Bose S, Shen X. The KRAS tour: Studying metabolic reprogramming in isogenic pancreatic cancer organoids. Cell Stem Cell 2024; 31:1-2. [PMID: 38181746 DOI: 10.1016/j.stem.2023.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 01/07/2024]
Abstract
Using an isogenic organoid platform to model pancreatic cancer, Duan et al. establish an important link between mutant KRAS and cholesterol metabolism and identify perhexiline maleate as a possible therapeutic to target this relationship.
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Affiliation(s)
- Shree Bose
- Department of Internal Medicine, University of Chicago, Chicago, IL, USA
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, USA.
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17
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Sun L, Wan AH, Yan S, Liu R, Li J, Zhou Z, Wu R, Chen D, Bu X, Ou J, Li K, Lu X, Wan G, Ke Z. A multidimensional platform of patient-derived tumors identifies drug susceptibilities for clinical lenvatinib resistance. Acta Pharm Sin B 2024; 14:223-240. [PMID: 38261805 PMCID: PMC10793100 DOI: 10.1016/j.apsb.2023.09.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/07/2023] [Accepted: 09/13/2023] [Indexed: 01/25/2024] Open
Abstract
Lenvatinib, a second-generation multi-receptor tyrosine kinase inhibitor approved by the FDA for first-line treatment of advanced liver cancer, facing limitations due to drug resistance. Here, we applied a multidimensional, high-throughput screening platform comprising patient-derived resistant liver tumor cells (PDCs), organoids (PDOs), and xenografts (PDXs) to identify drug susceptibilities for conquering lenvatinib resistance in clinically relevant settings. Expansion and passaging of PDCs and PDOs from resistant patient liver tumors retained functional fidelity to lenvatinib treatment, expediting drug repurposing screens. Pharmacological screening identified romidepsin, YM155, apitolisib, NVP-TAE684 and dasatinib as potential antitumor agents in lenvatinib-resistant PDC and PDO models. Notably, romidepsin treatment enhanced antitumor response in syngeneic mouse models by triggering immunogenic tumor cell death and blocking the EGFR signaling pathway. A combination of romidepsin and immunotherapy achieved robust and synergistic antitumor effects against lenvatinib resistance in humanized immunocompetent PDX models. Collectively, our findings suggest that patient-derived liver cancer models effectively recapitulate lenvatinib resistance observed in clinical settings and expedite drug discovery for advanced liver cancer, providing a feasible multidimensional platform for personalized medicine.
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Affiliation(s)
- Lei Sun
- Department of Pathology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Arabella H. Wan
- Department of Pathology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - Shijia Yan
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Ruonian Liu
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Jiarui Li
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zhuolong Zhou
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Ruirui Wu
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Dongshi Chen
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Xianzhang Bu
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Jingxing Ou
- Department of Hepatic Surgery and Liver Transplantation Center, Third Affiliated Hospital, Organ Transplantation Institute, Sun Yat-sen University, Organ Transplantation Research Center of Guangdong Province, Guangdong Province Engineering Laboratory for Transplantation Medicine, Guangzhou 510630, China
- Guangdong Provincial Key Laboratory of Liver Disease Research, Guangzhou 510630, China
| | - Kai Li
- Department of Ultrasound, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630, China
| | - Xiongbin Lu
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Indianapolis, IN 46202, USA
| | - Guohui Wan
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China
| | - Zunfu Ke
- Department of Pathology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
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18
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Stevens MM, Kimmerling RJ, Olcum S, Vacha M, LaBella R, Minnah A, Katsis K, Fujii J, Shaheen Z, Sundaresan S, Criscitiello J, Niesvizky R, Raje N, Branagan A, Krishnan A, Jagannath S, Parekh S, Sperling AS, Rosenbaum CA, Munshi N, Luskin MR, Tamrazi A, Reid CA. Cellular Mass Response to Therapy Correlates With Clinical Response for a Range of Malignancies. JCO Precis Oncol 2024; 8:e2300349. [PMID: 38237098 PMCID: PMC10805426 DOI: 10.1200/po.23.00349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 09/06/2023] [Accepted: 11/13/2023] [Indexed: 01/23/2024] Open
Abstract
PURPOSE Cancer patients with advanced-stage disease have poor prognosis, typically having limited options for efficacious treatment, and genomics-based therapy guidance continues to benefit only a fraction of patients. Next-generation ex vivo approaches, such as cell mass-based response testing (MRT), offer an alternative precision medicine approach for a broader population of patients with cancer, but validation of clinical feasibility and potential impact remain necessary. MATERIALS AND METHODS We evaluated the clinical feasibility and accuracy of using live-cell MRT to predict patient drug sensitivity. Using a unified measurement workflow with a 48-hour result turnaround time, samples were subjected to MRT after treatment with a panel of drugs in vitro. After completion of therapeutic course, clinical response data were correlated with MRT-based predictions of outcome. Specimens were collected from 104 patients with solid (n = 69) and hematologic (n = 35) malignancies, using tissue formats including needle biopsies, malignant fluids, bone marrow aspirates, and blood samples. Of the 81 (78%) specimens qualified for MRT, 41 (51%) patients receiving physician-selected therapies had treatments matched to MRT. RESULTS MRT demonstrated high concordance with clinical responses with an odds ratio (OR) of 14.80 (P = .0003 [95% CI, 2.83 to 102.9]). This performance held for both solid and hematologic malignances with ORs of 20.67 (P = .0128 [95% CI, 1.45 to 1,375.57]) and 8.20 (P = .045 [95% CI, 0.77 to 133.56]), respectively. Overall, these results had a predictive accuracy of 80% (P = .0026 [95% CI, 65 to 91]). CONCLUSION MRT showed highly significant correlation with clinical response to therapy. Routine clinical use is technically feasible and broadly applicable to a wide range of samples and malignancy types, supporting the need for future validation studies.
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Affiliation(s)
| | | | | | | | | | | | | | - Juanita Fujii
- Department of Clinical Research, Dignity Health, Sequoia Hospital, Redwood City, CA
| | - Zayna Shaheen
- Department of Clinical Research, Dignity Health, Sequoia Hospital, Redwood City, CA
| | - Srividya Sundaresan
- Department of Clinical Research, Dignity Health, Sequoia Hospital, Redwood City, CA
| | | | | | | | | | | | - Sundar Jagannath
- Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Samir Parekh
- Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Adam S. Sperling
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Division of Hematology, Brigham and Women's Hospital, Boston, MA
| | | | - Nikhil Munshi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Marlise R. Luskin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Anobel Tamrazi
- Division of Vascular and Interventional Radiology, Palo Alto Medical Foundation, Redwood City, CA
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19
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Mishra I, Gupta K, Mishra R, Chaudhary K, Sharma V. An Exploration of Organoid Technology: Present Advancements, Applications, and Obstacles. Curr Pharm Biotechnol 2024; 25:1000-1020. [PMID: 37807405 DOI: 10.2174/0113892010273024230925075231] [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: 07/19/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Organoids are in vitro models that exhibit a three-dimensional structure and effectively replicate the structural and physiological features of human organs. The capacity to research complex biological processes and disorders in a controlled setting is laid out by these miniature organ-like structures. OBJECTIVES This work examines the potential applications of organoid technology, as well as the challenges and future directions associated with its implementation. It aims to emphasize the pivotal role of organoids in disease modeling, drug discovery, developmental biology, precision medicine, and fundamental research. METHODS The manuscript was put together by conducting a comprehensive literature review, which involved an in-depth evaluation of globally renowned scientific research databases. RESULTS The field of organoids has generated significant attention due to its potential applications in tissue development and disease modelling, as well as its implications for personalised medicine, drug screening, and cell-based therapies. The utilisation of organoids has proven to be effective in the examination of various conditions, encompassing genetic disorders, cancer, neurodevelopmental disorders, and infectious diseases. CONCLUSION The exploration of the wider uses of organoids is still in its early phases. Research shall be conducted to integrate 3D organoid systems as alternatives for current models, potentially improving both fundamental and clinical studies in the future.
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Affiliation(s)
- Isha Mishra
- Department of Pharmacy, Galgotias College of Pharmacy, Greater Noida, Uttar Pradesh, 201310, India
| | - Komal Gupta
- Department of Pharmacy, Galgotias College of Pharmacy, Greater Noida, Uttar Pradesh, 201310, India
| | - Raghav Mishra
- Department of Pharmacy, GLA University, Mathura, 281406, Uttar Pradesh, India
| | - Kajal Chaudhary
- Department of Pharmacy, GLA University, Mathura, 281406, Uttar Pradesh, India
| | - Vikram Sharma
- Department of Pharmacy, Galgotias College of Pharmacy, Greater Noida, Uttar Pradesh, 201310, India
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20
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Gerstberger S, Ganesh K. NEN in a dish: A patient-derived organoid biobank illuminates potential novel therapeutic opportunities for neuroendocrine neoplasms. Cancer Cell 2023; 41:2014-2016. [PMID: 38086333 DOI: 10.1016/j.ccell.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/08/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023]
Abstract
Neuroendocrine neoplasms are rare cancers with limited treatment options and preclinical models. In this issue of Cancer Cell, Dayton et al. establish a patient-derived tumor organoid biobank encompassing pulmonary low-grade neuroendocrine tumors (LNETs) and high-grade neuroendocrine carcinomas (LCNECs), identifying novel biomarker-dependent therapeutic vulnerabilities using niche perturbation and drug response assays.
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Affiliation(s)
- Stefanie Gerstberger
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Karuna Ganesh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY 10065, USA.
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21
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Roberto de Barros N, Wang C, Maity S, Peirsman A, Nasiri R, Herland A, Ermis M, Kawakita S, Gregatti Carvalho B, Hosseinzadeh Kouchehbaghi N, Donizetti Herculano R, Tirpáková Z, Mohammad Hossein Dabiri S, Lucas Tanaka J, Falcone N, Choroomi A, Chen R, Huang S, Zisblatt E, Huang Y, Rashad A, Khorsandi D, Gangrade A, Voskanian L, Zhu Y, Li B, Akbari M, Lee J, Remzi Dokmeci M, Kim HJ, Khademhosseini A. Engineered organoids for biomedical applications. Adv Drug Deliv Rev 2023; 203:115142. [PMID: 37967768 PMCID: PMC10842104 DOI: 10.1016/j.addr.2023.115142] [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: 04/18/2023] [Revised: 10/03/2023] [Accepted: 11/10/2023] [Indexed: 11/17/2023]
Abstract
As miniaturized and simplified stem cell-derived 3D organ-like structures, organoids are rapidly emerging as powerful tools for biomedical applications. With their potential for personalized therapeutic interventions and high-throughput drug screening, organoids have gained significant attention recently. In this review, we discuss the latest developments in engineering organoids and using materials engineering, biochemical modifications, and advanced manufacturing technologies to improve organoid culture and replicate vital anatomical structures and functions of human tissues. We then explore the diverse biomedical applications of organoids, including drug development and disease modeling, and highlight the tools and analytical techniques used to investigate organoids and their microenvironments. We also examine the latest clinical trials and patents related to organoids that show promise for future clinical translation. Finally, we discuss the challenges and future perspectives of using organoids to advance biomedical research and potentially transform personalized medicine.
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Affiliation(s)
| | - Canran Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Surjendu Maity
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Arne Peirsman
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Plastic and Reconstructive Surgery, Ghent University Hospital, Ghent, Belgium
| | - Rohollah Nasiri
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, 17165 Solna, Sweden
| | - Anna Herland
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, 17165 Solna, Sweden
| | - Menekse Ermis
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Satoru Kawakita
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Bruna Gregatti Carvalho
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Department of Material and Bioprocess Engineering, School of Chemical Engineering, University of Campinas (UNICAMP), 13083-970 Campinas, Brazil
| | - Negar Hosseinzadeh Kouchehbaghi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Department of Textile Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Avenue, 1591634311 Tehran, Iran
| | - Rondinelli Donizetti Herculano
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA; São Paulo State University (UNESP), Bioengineering and Biomaterials Group, School of Pharmaceutical Sciences, Araraquara, SP, Brazil
| | - Zuzana Tirpáková
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Department of Biology and Physiology, University of Veterinary Medicine and Pharmacy in Kosice, Komenskeho 73, 04181 Kosice, Slovakia
| | - Seyed Mohammad Hossein Dabiri
- Laboratory for Innovations in Micro Engineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Jean Lucas Tanaka
- Butantan Institute, Viral Biotechnology Laboratory, São Paulo, SP Brazil; University of São Paulo (USP), São Paulo, SP Brazil
| | - Natashya Falcone
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Auveen Choroomi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - RunRun Chen
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA
| | - Shuyi Huang
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA
| | - Elisheva Zisblatt
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Yixuan Huang
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Ahmad Rashad
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Danial Khorsandi
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Ankit Gangrade
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Leon Voskanian
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA
| | - Bingbing Li
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; Autonomy Research Center for STEAHM (ARCS), California State University, Northridge, CA 91324, USA
| | - Mohsen Akbari
- Laboratory for Innovations in Micro Engineering (LiME), Department of Mechanical Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Junmin Lee
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk 37673, Republic of Korea
| | | | - Han-Jun Kim
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA; College of Pharmacy, Korea University, Sejong 30019, Republic of Korea.
| | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation (TIBI), Los Angeles, CA 90064, USA.
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Zhang Z, Hui L. Progress in patient-derived liver cancer cell models: a step forward for precision medicine. Acta Biochim Biophys Sin (Shanghai) 2023; 55:1707-1717. [PMID: 37766458 PMCID: PMC10679880 DOI: 10.3724/abbs.2023224] [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] [Accepted: 08/03/2023] [Indexed: 09/29/2023] Open
Abstract
The development of effective precision treatments for liver cancers has been hindered by the scarcity of preclinical models that accurately reflect the heterogeneity of this disease. Recent progress in developing patient-derived liver cancer cell lines and organoids has paved the way for precision medicine research. These expandable resources of liver cancer cell models enable a full spectrum of pharmacogenomic analysis for liver cancers. Moreover, patient-derived and short-term cultured two-dimensional tumor cells or three-dimensional organoids can serve as patient avatars, allowing for the prediction of patients' response to drugs and facilitating personalized treatment for liver cancer patients. Furthermore, the current novel techniques have expanded the scope of cancer research, including innovative organoid culture, gene editing and bioengineering. In this review, we provide an overview of the progress in patient-derived liver cancer cell models, focusing on their applications in precision and personalized medicine research. We also discuss the challenges and future perspectives in this field.
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Affiliation(s)
- Zhengtao Zhang
- Key Laboratory of Systems Health Science of Zhejiang ProvinceSchool of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou310024China
- State Key Laboratory of Cell BiologyShanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of SciencesUniversity of Chinese Academy of SciencesShanghai200031China
| | - Lijian Hui
- Key Laboratory of Systems Health Science of Zhejiang ProvinceSchool of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou310024China
- State Key Laboratory of Cell BiologyShanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of SciencesUniversity of Chinese Academy of SciencesShanghai200031China
- School of Life Science and TechnologyShanghaiTech UniversityShanghai200031China
- Institute for Stem Cell and RegenerationChinese Academy of SciencesBeijing100101China
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23
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Thomas PB, Alinezhad S, Joshi A, Sweeney K, Tse BWC, Tevz G, McPherson S, Nelson CC, Williams ED, Vela I. Introduction of Androgen Receptor Targeting shRNA Inhibits Tumor Growth in Patient-Derived Prostate Cancer Xenografts. Curr Oncol 2023; 30:9437-9447. [PMID: 37999103 PMCID: PMC10670201 DOI: 10.3390/curroncol30110683] [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: 09/29/2023] [Revised: 10/16/2023] [Accepted: 10/21/2023] [Indexed: 11/25/2023] Open
Abstract
Patient-derived xenograft (PDX) models have been established as important preclinical cancer models, overcoming some of the limitations associated with the use of cancer cell lines. The utility of prostate cancer PDX models has been limited by an inability to genetically manipulate them in vivo and difficulties sustaining PDX-derived cancer cells in culture. Viable, short-term propagation of PDX models would allow in vitro transfection with traceable reporters or manipulation of gene expression relevant to different studies within the prostate cancer field. Here, we report an organoid culture system that supports the growth of prostate cancer PDX cells in vitro and permits genetic manipulation, substantially increasing the scope to use PDXs to study the pathobiology of prostate cancer and define potential therapeutic targets. We have established a short-term PDX-derived in vitro cell culture system which enables genetic manipulation of prostate cancer PDXs LuCaP35 and BM18. Genetically manipulated cells could be re-established as viable xenografts when re-implanted subcutaneously in immunocompromised mice and were able to be serially passaged. Tumor growth of the androgen-dependent LuCaP35 PDX was significantly inhibited following depletion of the androgen receptor (AR) in vivo. Taken together, this system provides a method to generate novel preclinical models to assess the impact of controlled genetic perturbations and allows for targeting specific genes of interest in the complex biological setting of solid tumors.
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Affiliation(s)
- Patrick B. Thomas
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
| | - Saeid Alinezhad
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Andre Joshi
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
- Department of Urology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
| | - Katrina Sweeney
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Brian W. C. Tse
- Preclinical Imaging Facility, Translational Research Institute (TRI), Brisbane, QLD 4102, Australia;
| | - Gregor Tevz
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Stephen McPherson
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
| | - Colleen C. Nelson
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
| | - Elizabeth D. Williams
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
- Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia
| | - Ian Vela
- School of Biomedical Sciences at Translational Research Institute (TRI), Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD 4102, Australia; (P.B.T.)
- Australian Prostate Cancer Research Centre—Queensland, Brisbane, QLD 4102, Australia
- Queensland Bladder Cancer Initiative (QBCI), Brisbane, QLD 4102, Australia
- Department of Urology, Princess Alexandra Hospital, Brisbane, QLD 4102, Australia
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24
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Liu Y, Zhou Y, Chen P. Lung cancer organoids: models for preclinical research and precision medicine. Front Oncol 2023; 13:1293441. [PMID: 37941550 PMCID: PMC10628480 DOI: 10.3389/fonc.2023.1293441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 09/27/2023] [Indexed: 11/10/2023] Open
Abstract
Lung cancer is a malignancy with high incidence and mortality rates globally, and it has a 5-year survival rate of only 10%-20%. The significant heterogeneity in clinical presentation, histological features, multi-omics findings, and drug sensitivity among different lung cancer patients necessitate the development of personalized treatment strategies. The current precision medicine for lung cancer, primarily based on pathological and genomic multi-omics testing, fails to meet the needs of patients with clinically refractory lung cancer. Lung cancer organoids (LCOs) are derived from tumor cells within tumor tissues and are generated through three-dimensional tissue culture, enabling them to faithfully recapitulate in vivo tumor characteristics and heterogeneity. The establishment of a series of LCOs biobanks offers promising platforms for efficient screening and identification of novel targets for anti-tumor drug discovery. Moreover, LCOs provide supplementary decision-making factors to enhance the current precision medicine for lung cancer, thereby addressing the limitations associated with pathology-guided approaches in managing refractory lung cancer. This article presents a comprehensive review on the construction methods and potential applications of LCOs in both preclinical and clinical research. It highlights the significance of LCOs in biomarker exploration, drug resistance investigation, target identification, clinical precision drug screening, as well as microfluidic technology-based high-throughput drug screening strategies. Additionally, it discusses the current limitations and future prospects of this field.
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Affiliation(s)
- Yajing Liu
- School of Pharmacy, Qingdao University, Qingdao, China
- Research and Development Department, NanoPeptide (Qingdao) Biotechnology Ltd., Qingdao, China
| | - Yanbing Zhou
- Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Pu Chen
- Research and Development Department, NanoPeptide (Qingdao) Biotechnology Ltd., Qingdao, China
- Department of Chemical Engineering and Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON, Canada
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25
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Malainou C, Abdin SM, Lachmann N, Matt U, Herold S. Alveolar macrophages in tissue homeostasis, inflammation, and infection: evolving concepts of therapeutic targeting. J Clin Invest 2023; 133:e170501. [PMID: 37781922 PMCID: PMC10541196 DOI: 10.1172/jci170501] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023] Open
Abstract
Alveolar macrophages (AMs) are the sentinel cells of the alveolar space, maintaining homeostasis, fending off pathogens, and controlling lung inflammation. During acute lung injury, AMs orchestrate the initiation and resolution of inflammation in order to ultimately restore homeostasis. This central role in acute lung inflammation makes AMs attractive targets for therapeutic interventions. Single-cell RNA-Seq and spatial omics approaches, together with methodological advances such as the generation of human macrophages from pluripotent stem cells, have increased understanding of the ontogeny, function, and plasticity of AMs during infectious and sterile lung inflammation, which could move the field closer to clinical application. However, proresolution phenotypes might conflict with proinflammatory and antibacterial responses. Therefore, therapeutic targeting of AMs at vulnerable time points over the course of infectious lung injury might harbor the risk of serious side effects, such as loss of antibacterial host defense capacity. Thus, the identification of key signaling hubs that determine functional fate decisions in AMs is of the utmost importance to harness their therapeutic potential.
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Affiliation(s)
- Christina Malainou
- Department of Internal Medicine V, Universities of Giessen and Marburg Lung Center, Justus Liebig University Giessen, Member of the German Center for Lung Research (DZL), Giessen, Germany
- Institute for Lung Health, Justus Liebig University Giessen, Giessen, Germany
- Excellence Cluster Cardio-Pulmonary Institute, Giessen, Germany
- German Center for Lung Research (DZL), Heidelberg, Germany
| | - Shifaa M. Abdin
- German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Pediatric Pneumology, Allergology and Neonatology and
- REBIRTH Center for Translational and Regenerative Medicine, Hannover Medical School, Hannover, Germany
| | - Nico Lachmann
- German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Pediatric Pneumology, Allergology and Neonatology and
- REBIRTH Center for Translational and Regenerative Medicine, Hannover Medical School, Hannover, Germany
- Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany
- RESIST (Resolving Infection Susceptibility), Cluster of Excellence, Hannover Medical School, Hannover, Germany
| | - Ulrich Matt
- Department of Internal Medicine V, Universities of Giessen and Marburg Lung Center, Justus Liebig University Giessen, Member of the German Center for Lung Research (DZL), Giessen, Germany
- Institute for Lung Health, Justus Liebig University Giessen, Giessen, Germany
- Excellence Cluster Cardio-Pulmonary Institute, Giessen, Germany
- German Center for Lung Research (DZL), Heidelberg, Germany
| | - Susanne Herold
- Department of Internal Medicine V, Universities of Giessen and Marburg Lung Center, Justus Liebig University Giessen, Member of the German Center for Lung Research (DZL), Giessen, Germany
- Institute for Lung Health, Justus Liebig University Giessen, Giessen, Germany
- Excellence Cluster Cardio-Pulmonary Institute, Giessen, Germany
- German Center for Lung Research (DZL), Heidelberg, Germany
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26
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Hiefner J, Rische J, Bunders MJ, Worthmann A. A liquid chromatography-tandem mass spectrometry based method for the quantification of adenosine nucleotides and NAD precursors and products in various biological samples. Front Immunol 2023; 14:1250762. [PMID: 37799723 PMCID: PMC10548204 DOI: 10.3389/fimmu.2023.1250762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/18/2023] [Indexed: 10/07/2023] Open
Abstract
Adenine nucleotides (AN) are ubiquitous metabolites that regulate cellular energy metabolism and modulate cell communication and inflammation. To understand how disturbances in AN balance arise and affect cellular function, robust quantification techniques for these metabolites are crucial. However, due to their hydrophilicity, simultaneous quantification of AN across various biological samples has been challenging. Here we present a hydrophilic interaction high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) based method for the quantification of 26 adenosine nucleotides and precursors as well as metabolic products of nicotinamide adenine dinucleotide (NAD) in plasma, liver, and adipose tissue samples as well as cell culture supernatants and cells. Method validation was performed with regard to linearity, accuracy, precision, matrix effects, and carryover. Finally, analysis of cell culture supernatants derived from intestinal organoids and RAW 264.7 cells illustrates that the here described method is a reliable and easy-to-use tool to quantify AN and opens up new avenues to understand the role of AN generation and breakdown for cellular functions.
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Affiliation(s)
- Johanna Hiefner
- Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Johann Rische
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Madeleine J. Bunders
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Research Department of Virus Immunology, Leibniz Institute of Virology, Hamburg, Germany
- Hamburg Center of Translational Immunology, Hamburg, Germany
| | - Anna Worthmann
- Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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27
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Bouchard G, Zhang W, Li I, Ilerten I, Bhattacharya A, Li Y, Trope W, Shrager JB, Kuo C, Tian L, Giaccia AJ, Plevritis SK. The colocatome as a spatial -omic reveals shared microenvironment features between tumour-stroma assembloids and human lung cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.11.557278. [PMID: 37745466 PMCID: PMC10515823 DOI: 10.1101/2023.09.11.557278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Computational frameworks to quantify and compare microenvironment spatial features of in-vitro patient-derived models and clinical specimens are needed. Here, we acquired and analysed multiplexed immunofluorescence images of human lung adenocarcinoma (LUAD) alongside tumour-stroma assembloids constructed with organoids and fibroblasts harvested from the leading edge (Tumour-Adjacent Fibroblasts;TAFs) or core (Tumour Core Fibroblasts;TCFs) of human LUAD. We introduce the concept of the "colocatome" as a spatial -omic dimension to catalogue all proximate and distant colocalisations between malignant and fibroblast subpopulations in both the assembloids and clinical specimens. The colocatome expands upon the colocalisation quotient (CLQ) through a nomalisation strategy that involves permutation analysis and thereby allows comparisons of CLQs under different conditions. Using colocatome analysis, we report that both TAFs and TCFs protected cancer cells from targeted oncogene treatment by uniquely reorganising the tumour-stroma cytoarchitecture, rather than by promoting cellular heterogeneity or selection. Moreover, we show that the assembloids' colocatome recapitulates the tumour-stroma cytoarchitecture defining the tumour microenvironment of LUAD clinical samples and thereby can serve as a functional spatial readout to guide translational discoveries.
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Affiliation(s)
- Gina Bouchard
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Weiruo Zhang
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Irene Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Ilayda Ilerten
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Asmita Bhattacharya
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Yuanyuan Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Winston Trope
- Department of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA
| | - Joseph B Shrager
- Department of Cardiothoracic Surgery, Stanford University, Stanford, CA 94305, USA
| | - Calvin Kuo
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Amato J Giaccia
- Department of Radiation Oncology, Stanford, CA 94305, USA
- Department of Oncology, University of Oxford, Oxford OX3 7DQ, UK
| | - Sylvia K Plevritis
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
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28
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Kim M, Panagiotakopoulou M, Chen C, Ruiz SB, Ganesh K, Tammela T, Heller DA. Micro-engineering and nano-engineering approaches to investigate tumour ecosystems. Nat Rev Cancer 2023; 23:581-599. [PMID: 37353679 PMCID: PMC10528361 DOI: 10.1038/s41568-023-00593-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/25/2023]
Abstract
The interactions among tumour cells, the tumour microenvironment (TME) and non-tumour tissues are of interest to many cancer researchers. Micro-engineering approaches and nanotechnologies are under extensive exploration for modelling these interactions and measuring them in situ and in vivo to investigate therapeutic vulnerabilities in cancer and extend a systemic view of tumour ecosystems. Here we highlight the greatest opportunities for improving the understanding of tumour ecosystems using microfluidic devices, bioprinting or organ-on-a-chip approaches. We also discuss the potential of nanosensors that can transmit information from within the TME or elsewhere in the body to address scientific and clinical questions about changes in chemical gradients, enzymatic activities, metabolic and immune profiles of the TME and circulating analytes. This Review aims to connect the cancer biology and engineering communities, presenting biomedical technologies that may expand the methodologies of the former, while inspiring the latter to develop approaches for interrogating cancer ecosystems.
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Affiliation(s)
- Mijin Kim
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | | | - Chen Chen
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional PhD Program in Chemical Biology, Sloan Kettering Institute, New York, NY, USA
| | - Stephen B Ruiz
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Karuna Ganesh
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Tuomas Tammela
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
- Cancer Biology and Genetics Program, Sloan Kettering Institute, New York, NY, USA
| | - Daniel A Heller
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA.
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA.
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29
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Tabury K, Rehnberg E, Baselet B, Baatout S, Moroni L. Bioprinting of Cardiac Tissue in Space: Where Are We? Adv Healthc Mater 2023; 12:e2203338. [PMID: 37312654 DOI: 10.1002/adhm.202203338] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/18/2023] [Indexed: 06/15/2023]
Abstract
Bioprinting in space is the next frontier in tissue engineering. In the absence of gravity, novel opportunities arise, as well as new challenges. The cardiovascular system needs particular attention in tissue engineering, not only to develop safe countermeasures for astronauts in future deep and long-term space missions, but also to bring solutions to organ transplantation shortage. In this perspective, the challenges encountered when using bioprinting techniques in space and current gaps that need to be overcome are discussed. The recent developments that have been made in the bioprinting of heart tissues in space and an outlook on potential future bioprinting opportunities in space are described.
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Affiliation(s)
- Kevin Tabury
- Radiology Unit, Belgian Nuclear Research Center, Boeretang 200, Mol, 2400, Belgium
- Department of Biomedical Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC, 29208, USA
| | - Emil Rehnberg
- Radiology Unit, Belgian Nuclear Research Center, Boeretang 200, Mol, 2400, Belgium
- Department of Molecular Biotechnology, Ghent University, Ghent, 9000, Belgium
| | - Bjorn Baselet
- Radiology Unit, Belgian Nuclear Research Center, Boeretang 200, Mol, 2400, Belgium
| | - Sarah Baatout
- Radiology Unit, Belgian Nuclear Research Center, Boeretang 200, Mol, 2400, Belgium
- Department of Molecular Biotechnology, Ghent University, Ghent, 9000, Belgium
| | - Lorenzo Moroni
- MERLN Institute for Technology-Inspired Regenerative Medicine, Department of Complex Tissue Regeneration, Maastricht University, Universiteitssingel 40, Maastricht, 6229ER, The Netherlands
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30
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Skubal M, Larney BM, Phung NB, Desmaras JC, Dozic AV, Volpe A, Ogirala A, Machado CL, Djibankov J, Ponomarev V, Grimm J. Vascularized tumor on a microfluidic chip to study mechanisms promoting tumor neovascularization and vascular targeted therapies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.07.552309. [PMID: 37609216 PMCID: PMC10441301 DOI: 10.1101/2023.08.07.552309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
The cascade of events leading to tumor formation includes induction of a tumor supporting neovasculature as a primary hallmark of cancer. Developing vasculature is difficult to evaluate in vivo but can be captured using microfluidic chip technology and patient derived cells. Herein, we established an on chip approach to investigate the mechanisms promoting tumor vascularization and vascular targeted therapies via co-culture of metastatic renal cell carcinoma spheroids and endothelial cells in a 3D environment. Our model permitted real-time, high-resolution observation and assessment of tumor-induced angiogenesis, where endothelial cells sprout towards the tumor and mimic a vascular network. Bevacizumab, an angiogenic inhibitor, disrupted interactions between vessels and tumors, destroying the vascular network. The on chip approach enabled assessment of endothelial cell biology, vessel's functionality, drug delivery, and molecular expression of PSMA. Finally, observations in the vascularized tumor on chip permitted direct and conclusive quantification of this therapy in weeks as opposed to months in a comparable animal model. Teaser Vascularized tumor on microfluidic chip provides opportunity to study targeted therapies and improves preclinical drug discovery.
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31
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Skylar-Scott M, Declercq H, Nakayama K. Special Issue: Biofabrication with Spheroid and Organoid Materials. Acta Biomater 2023; 165:1-3. [PMID: 37230440 DOI: 10.1016/j.actbio.2023.05.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Affiliation(s)
- Mark Skylar-Scott
- Department of Bioengineering and Basic Science and Engineering Initiative, Stanford University, Stanford, CA 94305, USA; Children's Heart Center, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
| | - Heidi Declercq
- Tissue Engineering Lab, Department of Development and Regeneration, Faculty of Medicine, KU Leuven Campus Kulak, Kortrijk 8500, Belgium
| | - Koichi Nakayama
- Center for Regenerative Medicine Research, SAGA University, Saga Honjomachi, 1, Japan
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32
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Villanueva R. Advances in the knowledge and therapeutics of schizophrenia, major depression disorder, and bipolar disorder from human brain organoid research. Front Psychiatry 2023; 14:1178494. [PMID: 37502814 PMCID: PMC10368988 DOI: 10.3389/fpsyt.2023.1178494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
Tridimensional cultures of human induced pluripotent cells (iPSCs) experimentally directed to neural differentiation, termed "brain organoids" are now employed as an in vitro assay that recapitulates early developmental stages of nervous tissue differentiation. Technical progress in culture methodology enabled the generation of regionally specialized organoids with structural and neurochemical characters of distinct encephalic regions. The technical process of organoid elaboration is undergoing progressively implementation, but current robustness of the assay has attracted the attention of psychiatric research to substitute/complement animal experimentation for analyzing the pathophysiology of psychiatric disorders. Numerous morphological, structural, molecular and functional insights of psychiatric disorders have been uncovered by comparing brain organoids made with iPSCs obtained from control healthy subjects and psychiatric patients. Brain organoids were also employed for analyzing the response to conventional treatments, to search for new drugs, and to anticipate the therapeutic response of individual patients in a personalized manner. In this review, we gather data obtained by studying cerebral organoids made from iPSCs of patients of the three most frequent serious psychiatric disorders: schizophrenia, major depression disorder, and bipolar disorder. Among the data obtained in these studies, we emphasize: (i) that the origin of these pathologies takes place in the stages of embryonic development; (ii) the existence of shared molecular pathogenic aspects among patients of the three distinct disorders; (iii) the occurrence of molecular differences between patients bearing the same disorder, and (iv) that functional alterations can be activated or aggravated by environmental signals in patients bearing genetic risk for these disorders.
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33
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Bartolomé RA, Casal JI. Proteomic profiling and network biology of colorectal cancer liver metastasis. Expert Rev Proteomics 2023; 20:357-370. [PMID: 37874121 DOI: 10.1080/14789450.2023.2275681] [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: 07/05/2023] [Accepted: 10/23/2023] [Indexed: 10/25/2023]
Abstract
INTRODUCTION Tissue-based proteomic studies of colorectal cancer (CRC) metastasis have delivered fragmented results, with very few therapeutic targets and prognostic biomarkers moving beyond the discovery phase. This situation is likely due to the difficulties in obtaining and analyzing large numbers of patient-derived metastatic samples, the own heterogeneity of CRC, and technical limitations in proteomics discovery. As an alternative, metastatic CRC cell lines provide a flexible framework to investigate the underlying mechanisms and network biology of metastasis for target discovery. AREAS COVERED In this perspective, we comment on different in-depth proteomic studies of metastatic versus non-metastatic CRC cell lines. Identified metastasis-related proteins are introduced and discussed according to the spatial location in different cellular fractions, with special emphasis on membrane/adhesion proteins, secreted proteins, and nuclear factors, including miRNAs associated with liver metastasis. Moreover, we analyze the biological significance and potential therapeutic applications of the identified liver metastasis-related proteins. EXPERT OPINION The combination of protein discovery and functional analysis is the only way to accelerate the progress to clinical translation of the proteomic-derived findings in a relatively fast pace. Patient-derived organoids represent a promising alternative to patient tissues and cell lines, but further optimizations are still required for achieving solid and reproducible results.
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Affiliation(s)
- Rubén A Bartolomé
- Department of Molecular Biomedicine, Centro de Investigaciones Biológicas Margarita Salas, Madrid, Spain
| | - J Ignacio Casal
- Department of Molecular Biomedicine, Centro de Investigaciones Biológicas Margarita Salas, Madrid, Spain
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34
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Chohra I, Giri S, Malgrange B. Generation of a Well-Characterized Homozygous Chromodomain-Helicase-DNA-Binding Protein 4 G1003D Mutant hESC Line Using CRISPR/eCas9 (ULIEGEe001-A-1). Int J Mol Sci 2023; 24:10543. [PMID: 37445725 DOI: 10.3390/ijms241310543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/12/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
The chromatin remodeler Chromodomain-helicase-DNA-binding protein 4 (CHD4) is crucial for the development of multiple organ systems. Functional mutations of CHD4 have recently been described in a developmental disorder, namely Siffrim-Hitz-Weiss syndrome (SIHIWES). Herein, we have generated a homozygous CHD4G1003D hESC line (WAe025-A-1) using CRISPR/eCas9-based gene editing in the WA-25 hESC line. The edited hESC line maintains normal karyotype, pluripotency, and ability to differentiate into three germ layers. This cell line will be a valuable resource for studying the functional role of CHD4 during the development and disease modeling of SIHIWES in vitro.
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Affiliation(s)
- Ilyas Chohra
- Developmental Neurobiology Unit, GIGA-Stem Cells, Av Hippocrate, 15 B-4000 Liege, Belgium
| | - Subhajit Giri
- Developmental Neurobiology Unit, GIGA-Stem Cells, Av Hippocrate, 15 B-4000 Liege, Belgium
| | - Brigitte Malgrange
- Developmental Neurobiology Unit, GIGA-Stem Cells, Av Hippocrate, 15 B-4000 Liege, Belgium
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35
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Yehya A, Youssef J, Hachem S, Ismael J, Abou-Kheir W. Tissue-specific cancer stem/progenitor cells: Therapeutic implications. World J Stem Cells 2023; 15:323-341. [PMID: 37342220 PMCID: PMC10277968 DOI: 10.4252/wjsc.v15.i5.323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/14/2023] [Accepted: 04/12/2023] [Indexed: 05/26/2023] Open
Abstract
Surgical resection, chemotherapy, and radiation are the standard therapeutic modalities for treating cancer. These approaches are intended to target the more mature and rapidly dividing cancer cells. However, they spare the relatively quiescent and intrinsically resistant cancer stem cells (CSCs) subpopulation residing within the tumor tissue. Thus, a temporary eradication is achieved and the tumor bulk tends to revert supported by CSCs' resistant features. Based on their unique expression profile, the identification, isolation, and selective targeting of CSCs hold great promise for challenging treatment failure and reducing the risk of cancer recurrence. Yet, targeting CSCs is limited mainly by the irrelevance of the utilized cancer models. A new era of targeted and personalized anti-cancer therapies has been developed with cancer patient-derived organoids (PDOs) as a tool for establishing pre-clinical tumor models. Herein, we discuss the updated and presently available tissue-specific CSC markers in five highly occurring solid tumors. Additionally, we highlight the advantage and relevance of the three-dimensional PDOs culture model as a platform for modeling cancer, evaluating the efficacy of CSC-based therapeutics, and predicting drug response in cancer patients.
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Affiliation(s)
- Amani Yehya
- Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut, Beirut 1107-2020, Lebanon
| | - Joe Youssef
- Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut, Beirut 1107-2020, Lebanon
| | - Sana Hachem
- Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut, Beirut 1107-2020, Lebanon
| | - Jana Ismael
- Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut, Beirut 1107-2020, Lebanon
| | - Wassim Abou-Kheir
- Department of Anatomy, Cell Biology and Physiological Sciences, American University of Beirut, Beirut 1107-2020, Lebanon
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Senkowski W, Gall-Mas L, Falco MM, Li Y, Lavikka K, Kriegbaum MC, Oikkonen J, Bulanova D, Pietras EJ, Voßgröne K, Chen YJ, Erkan EP, Dai J, Lundgren A, Grønning Høg MK, Larsen IM, Lamminen T, Kaipio K, Huvila J, Virtanen A, Engelholm L, Christiansen P, Santoni-Rugiu E, Huhtinen K, Carpén O, Hynninen J, Hautaniemi S, Vähärautio A, Wennerberg K. A platform for efficient establishment and drug-response profiling of high-grade serous ovarian cancer organoids. Dev Cell 2023:S1534-5807(23)00182-X. [PMID: 37148882 DOI: 10.1016/j.devcel.2023.04.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 02/24/2023] [Accepted: 04/14/2023] [Indexed: 05/08/2023]
Abstract
The broad research use of organoids from high-grade serous ovarian cancer (HGSC) has been hampered by low culture success rates and limited availability of fresh tumor material. Here, we describe a method for generation and long-term expansion of HGSC organoids with efficacy markedly improved over previous reports (53% vs. 23%-38%). We established organoids from cryopreserved material, demonstrating the feasibility of using viably biobanked tissue for HGSC organoid derivation. Genomic, histologic, and single-cell transcriptomic analyses revealed that organoids recapitulated genetic and phenotypic features of original tumors. Organoid drug responses correlated with clinical treatment outcomes, although in a culture conditions-dependent manner and only in organoids maintained in human plasma-like medium (HPLM). Organoids from consenting patients are available to the research community through a public biobank and organoid genomic data are explorable through an interactive online tool. Taken together, this resource facilitates the application of HGSC organoids in basic and translational ovarian cancer research.
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Affiliation(s)
- Wojciech Senkowski
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, 2200 Copenhagen, Denmark.
| | - Laura Gall-Mas
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, 2200 Copenhagen, Denmark
| | - Matías Marín Falco
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Yilin Li
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Kari Lavikka
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Mette C Kriegbaum
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, 2200 Copenhagen, Denmark
| | - Jaana Oikkonen
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Daria Bulanova
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, 2200 Copenhagen, Denmark
| | - Elin J Pietras
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Karolin Voßgröne
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Yan-Jun Chen
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Erdogan Pekcan Erkan
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Applied Tumor Genomics Research Program, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Jun Dai
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Anastasia Lundgren
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Mia Kristine Grønning Høg
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Finsen Laboratory, Rigshospitalet, Copenhagen University Hospital, 2200 Copenhagen, Denmark
| | - Ida Marie Larsen
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Finsen Laboratory, Rigshospitalet, Copenhagen University Hospital, 2200 Copenhagen, Denmark
| | - Tarja Lamminen
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland
| | - Katja Kaipio
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland
| | - Jutta Huvila
- Department of Pathology, University of Turku and Turku University Hospital, 20521 Turku, Finland
| | - Anni Virtanen
- Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, 00260 Helsinki, Finland
| | - Lars Engelholm
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Finsen Laboratory, Rigshospitalet, Copenhagen University Hospital, 2200 Copenhagen, Denmark
| | - Pernille Christiansen
- Department of Pathology, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark
| | - Eric Santoni-Rugiu
- Department of Pathology, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark
| | - Kaisa Huhtinen
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Turku University Hospital, 20521 Turku, Finland
| | - Olli Carpén
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; Department of Pathology, University of Helsinki and HUS Diagnostic Center, Helsinki University Hospital, 00260 Helsinki, Finland
| | - Johanna Hynninen
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, 20521 Turku, Finland
| | - Sampsa Hautaniemi
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Anna Vähärautio
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Krister Wennerberg
- Biotech Research & Innovation Centre, University of Copenhagen, 2200 Copenhagen, Denmark; Novo Nordisk Foundation Center for Stem Cell Biology (DanStem), University of Copenhagen, 2200 Copenhagen, Denmark.
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37
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Di Buduo CA, Miguel CP, Balduini A. Inside-to-outside and back to the future of megakaryopoiesis. Res Pract Thromb Haemost 2023; 7:100197. [PMID: 37416054 PMCID: PMC10320384 DOI: 10.1016/j.rpth.2023.100197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/12/2023] [Accepted: 04/23/2023] [Indexed: 07/08/2023] Open
Abstract
A State of the Art lecture titled "Megakaryocytes and different thrombopoietic environments" was presented at the ISTH Congress in 2022. Circulating platelets are specialized cells produced by megakaryocytes. Leading studies point to the bone marrow niche as the core of hematopoietic stem cell differentiation, revealing interesting and complex environmental factors for consideration. Megakaryocytes take cues from the physiochemical bone marrow microenvironment, which includes cell-cell interactions, contact with extracellular matrix components, and flow generated by blood circulation in the sinusoidal lumen. Germinal and acquired mutations in hematopoietic stem cells may manifest in altered megakaryocyte maturation, proliferation, and platelet production. Diseased megakaryopoiesis may also cause modifications of the entire hematopoietic niche, highlighting the central role of megakaryocytes in the control of physiologic bone marrow homeostasis. Tissue-engineering approaches have been developed to translate knowledge from in vivo (inside) to functional mimics of native tissue ex vivo (outside). Reproducing the thrombopoietic environment is instrumental to gain new insight into its activity and answering the growing demand for human platelets for fundamental studies and clinical applications. In this review, we discuss the major achievements on this topic, and finally, we summarize relevant new data presented during the 2022 ISTH Congress that pave the road to the future of megakaryopoiesis.
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Affiliation(s)
| | | | - Alessandra Balduini
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Biomedical Engineering, Tufts University, Medford, Massachusetts, USA
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Spagnol G, Sensi F, De Tommasi O, Marchetti M, Bonaldo G, Xhindoli L, Noventa M, Agostini M, Tozzi R, Saccardi C. Patient Derived Organoids (PDOs), Extracellular Matrix (ECM), Tumor Microenvironment (TME) and Drug Screening: State of the Art and Clinical Implications of Ovarian Cancer Organoids in the Era of Precision Medicine. Cancers (Basel) 2023; 15:cancers15072059. [PMID: 37046719 PMCID: PMC10093183 DOI: 10.3390/cancers15072059] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/27/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023] Open
Abstract
Ovarian cancer (OC) has the highest mortality rate of all gynecological malignancies due to the high prevalence of advanced stages of diagnosis and the high rate of recurrence. Furthermore, the heterogeneity of OC tumors contributes to the rapid development of resistance to conventional chemotherapy. In recent years, in order to overcome these problems, targeted therapies have been introduced in various types of tumors, including gynecological cancer. However, the lack of predictive biomarkers showing different clinical benefits limits the effectiveness of these therapies. This requires the development of preclinical models that can replicate the histological and molecular characteristics of OC subtypes. In this scenario, organoids become an important preclinical model for personalized medicine. In fact, patient-derived organoids (PDO) recapture tumor heterogeneity with the possibility of performing drug screening. However, to best reproduce the patient’s characteristics, it is necessary to develop a specific extracellular matrix (ECM) and introduce a tumor microenvironment (TME), which both represent an actual object of study to improve drug screening, particularly when used in targeted therapy and immunotherapy to guide therapeutic decisions. In this review, we summarize the current state of the art for the screening of PDOs, ECM, TME, and drugs in the setting of OC, as well as discussing the clinical implications and future perspectives for the research of OC organoids.
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Affiliation(s)
- Giulia Spagnol
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Francesca Sensi
- Department of Women and Children’s Health, University of Padua, 35100 Padua, Italy
- Fondazione Istituto di Ricerca Pediatrica Città della Speranza, 35129 Padua, Italy
| | - Orazio De Tommasi
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Matteo Marchetti
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Giulio Bonaldo
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Livia Xhindoli
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Marco Noventa
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Marco Agostini
- Fondazione Istituto di Ricerca Pediatrica Città della Speranza, 35129 Padua, Italy
- General Surgery 3, Department of Surgical, Oncological, and Gastroenterological Sciences, University of Padua, 35100 Padua, Italy
| | - Roberto Tozzi
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
| | - Carlo Saccardi
- Department of Women and Children’s Health, Clinic of Gynecology and Obstetrics, University of Padua, 35100 Padua, Italy
- Correspondence:
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He C, Kalafut NC, Sandoval SO, Risgaard R, Sirois CL, Yang C, Khullar S, Suzuki M, Huang X, Chang Q, Zhao X, Sousa AM, Wang D. BOMA, a machine-learning framework for comparative gene expression analysis across brains and organoids. CELL REPORTS METHODS 2023; 3:100409. [PMID: 36936070 PMCID: PMC10014309 DOI: 10.1016/j.crmeth.2023.100409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 11/21/2022] [Accepted: 01/25/2023] [Indexed: 02/17/2023]
Abstract
Our machine-learning framework, brain and organoid manifold alignment (BOMA), first performs a global alignment of developmental gene expression data between brains and organoids. It then applies manifold learning to locally refine the alignment, revealing conserved and specific developmental trajectories across brains and organoids. Using BOMA, we found that human cortical organoids better align with certain brain cortical regions than with other non-cortical regions, implying organoid-preserved developmental gene expression programs specific to brain regions. Additionally, our alignment of non-human primate and human brains reveals highly conserved gene expression around birth. Also, we integrated and analyzed developmental single-cell RNA sequencing (scRNA-seq) data of human brains and organoids, showing conserved and specific cell trajectories and clusters. Further identification of expressed genes of such clusters and enrichment analyses reveal brain- or organoid-specific developmental functions and pathways. Finally, we experimentally validated important specific expressed genes through the use of immunofluorescence. BOMA is open-source available as a web tool for community use.
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Affiliation(s)
- Chenfeng He
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Noah Cohen Kalafut
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Soraya O. Sandoval
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Ryan Risgaard
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Carissa L. Sirois
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Chen Yang
- Department of Mathematics, University of Wisconsin-Madison, Madison, WI, USA
| | - Saniya Khullar
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Marin Suzuki
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Xiang Huang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Qiang Chang
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Departments of Medical Genetics and Neurology, University of Wisconsin-Madison, Madison, WI, USA
| | - Xinyu Zhao
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Andre M.M. Sousa
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Neuroscience, University of Wisconsin-Madison, Madison, WI, USA
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA
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40
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Al-Hamaly MA, Turner LT, Rivera-Martinez A, Rodriguez A, Blackburn JS. Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes. Int J Mol Sci 2023; 24:2288. [PMID: 36768609 PMCID: PMC9916713 DOI: 10.3390/ijms24032288] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor's molecular profile to optimize the therapeutic benefit. However, current precision medicine approaches do not fully account for intra-tumoral heterogeneity. Different mutation profiles and cell behaviors within a single heterogeneous tumor can significantly impact therapy response and patient outcomes. Patient-derived avatar models recapitulate a patient's tumor in an animal or dish and provide the means to functionally assess heterogeneity's impact on drug response. Mouse xenograft and organoid avatars are well-established, but the time required to generate these models is not practical for clinical decision-making. Zebrafish are emerging as a time-efficient and cost-effective cancer avatar model. In this review, we highlight recent developments in zebrafish cancer avatar models and discuss the unique features of zebrafish that make them ideal for the interrogation of cancer heterogeneity and as part of precision cancer medicine pipelines.
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Affiliation(s)
- Majd A. Al-Hamaly
- Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40356, USA
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536, USA
| | - Logan T. Turner
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536, USA
- Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40356, USA
| | | | - Analiz Rodriguez
- Department of Neurosurgery, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Jessica S. Blackburn
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536, USA
- Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40356, USA
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41
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Novelli G, Spitalieri P, Murdocca M, Centanini E, Sangiuolo F. Organoid factory: The recent role of the human induced pluripotent stem cells (hiPSCs) in precision medicine. Front Cell Dev Biol 2023; 10:1059579. [PMID: 36699015 PMCID: PMC9869172 DOI: 10.3389/fcell.2022.1059579] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 12/22/2022] [Indexed: 01/11/2023] Open
Abstract
During the last decades, hiPSC-derived organoids have been extensively studied and used as in vitro models for several applications among which research studies. They can be considered as organ and tissue prototypes, especially for those difficult to obtain. Moreover, several diseases can be accurately modeled and studied. Hence, patient-derived organoids (PDOs) can be used to predict individual drug responses, thus paving the way toward personalized medicine. Lastly, by applying tissue engineering and 3D printing techniques, organoids could be used in the future to replace or regenerate damaged tissue. In this review, we will focus on hiPSC-derived 3D cultures and their ability to model human diseases with an in-depth analysis of gene editing applications, as well as tumor models. Furthermore, we will highlight the state-of-the-art of organoid facilities that around the world offer know-how and services. This is an increasing trend that shed the light on the need of bridging the publicand the private sector. Hence, in the context of drug discovery, Organoid Factories can offer biobanks of validated 3D organoid models that can be used in collaboration with pharmaceutical companies to speed up the drug screening process. Finally, we will discuss the limitations and the future development that will lead hiPSC-derived technology from bench to bedside, toward personalized medicine, such as maturity, organoid interconnections, costs, reproducibility and standardization, and ethics. hiPSC-derived organoid technology is now passing from a proof-of-principle to real applications in the clinic, also thanks to the applicability of techniques, such as CRISPR/Cas9 genome editing system, material engineering for the scaffolds, or microfluidic systems. The benefits will have a crucial role in the advance of both basic biological and translational research, particularly in the pharmacological field and drug development. In fact, in the near future, 3D organoids will guide the clinical decision-making process, having validated patient-specific drug screening platforms. This is particularly important in the context of rare genetic diseases or when testing cancer treatments that could in principle have severe side effects. Therefore, this technology has enabled the advancement of personalized medicine in a way never seen before.
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Affiliation(s)
- Giuseppe Novelli
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
- IRCCS Neuromed, Pozzilli, IS, Italy
- Department of Pharmacology, School of Medicine, University of Nevada, Reno, NV, United States
| | - Paola Spitalieri
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Michela Murdocca
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Eleonora Centanini
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, CS, Italy
| | - Federica Sangiuolo
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
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42
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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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Chen J, Na F. Organoid technology and applications in lung diseases: Models, mechanism research and therapy opportunities. Front Bioeng Biotechnol 2022; 10:1066869. [PMID: 36568297 PMCID: PMC9772457 DOI: 10.3389/fbioe.2022.1066869] [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: 11/24/2022] [Indexed: 12/12/2022] Open
Abstract
The prevalency of lung disease has increased worldwide, especially in the aging population. It is essential to develop novel disease models, that are superior to traditional models. Organoids are three-dimensional (3D) in vitro structures that produce from self-organizing and differentiating stem cells, including pluripotent stem cells (PSCs) or adult stem cells (ASCs). They can recapitulate the in vivo cellular heterogeneity, genetic characteristics, structure, and functionality of original tissues. Drug responses of patient-derived organoids (PDOs) are consistent with that of patients, and show correlations with genetic alterations. Thus, organoids have proven to be valuable in studying the biology of disease, testing preclinical drugs and developing novel therapies. In recent years, organoids have been successfully applied in studies of a variety of lung diseases, such as lung cancer, influenza, cystic fibrosis, idiopathic pulmonary fibrosis, and the recent severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic. In this review, we provide an update on the generation of organoid models for these diseases and their applications in basic and translational research, highlighting these signs of progress in pathogenesis study, drug screening, personalized medicine and immunotherapy. We also discuss the current limitations and future perspectives in organoid models of lung diseases.
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Abstract
Metabolic diseases, including obesity, diabetes mellitus and cardiovascular disease, are a major threat to health in the modern world, but efforts to understand the underlying mechanisms and develop rational treatments are limited by the lack of appropriate human model systems. Notably, advances in stem cell and organoid technology allow the generation of cellular models that replicate the histological, molecular and physiological properties of human organs. Combined with marked improvements in gene editing tools, human stem cells and organoids provide unprecedented systems for studying mechanisms of metabolic diseases. Here, we review progress made over the past decade in the generation and use of stem cell-derived metabolic cell types and organoids in metabolic disease research, especially obesity and liver diseases. In particular, we discuss the limitations of animal models and the advantages of stem cells and organoids, including their application to metabolic diseases. We also discuss mechanisms of drug action, understanding the efficacy and toxicity of existing therapies, screening for new treatments and pursuing personalized therapies. We highlight the potential of combining stem cell-derived organoids with gene editing and functional genomics to revolutionize the approach to finding treatments for metabolic diseases.
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Affiliation(s)
- Wenxiang Hu
- Department of Basic Research, Guangzhou Laboratory, Guangdong, China.
- Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Mitchell A Lazar
- Institute for Diabetes, Obesity, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
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Meier MA, Nuciforo S, Coto-Llerena M, Gallon J, Matter MS, Ercan C, Vosbeck J, Terracciano LM, Soysal SD, Boll D, Kollmar O, Delaloye R, Piscuoglio S, Heim MH. Patient-derived tumor organoids for personalized medicine in a patient with rare hepatocellular carcinoma with neuroendocrine differentiation: a case report. COMMUNICATIONS MEDICINE 2022; 2:80. [PMID: 35789568 PMCID: PMC9249908 DOI: 10.1038/s43856-022-00150-3] [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: 09/21/2021] [Accepted: 06/21/2022] [Indexed: 11/20/2022] Open
Abstract
Background Hepatocellular carcinoma with neuroendocrine differentiation (HCC-NED) is a very rare subtype of primary liver cancer. Treatment allocation in these patients therefore remains a challenge. Methods We report the case of a 74-year-old man with a HCC-NED. The tumor was surgically removed in curative intent. Histopathological work-up revealed poorly differentiated hepatocellular carcinoma (Edmondson-Steiner grade IV) with diffuse expression of neuroendocrine markers synaptophysin and chromogranin. Three months after resection, multifocal recurrence of the HCC-NED was observed. In the meantime, tumor organoids have been generated from the resected HCC-NED and extensively characterized. Sensitivity to a number of drugs approved for the treatment of HCC or neuroendocrine carcinomas was tested in vitro. Results Based on the results of the in vitro drug screening, etoposide and carboplatin are used as first line palliative combination treatment. With genomic analysis revealing a NTRK1-mutation of unknown significance (kinase domain) and tumor organoids found to be sensitive to entrectinib, a pan-TRK inhibitor, the patient was treated with entrectinib as second line therapy. After only two weeks, treatment is discontinued due to deterioration of the patient’s general condition. Conclusion The rapid establishment of patient-derived tumor organoids allows in vitro drug testing and thereby personalized treatment choices, however clinical translation remains a challenge. To the best of our knowledge, this report provides a first proof-of-principle for using organoids for personalized medicine in this rare subtype of primary liver cancer. Tumors that simultaneously display features of liver, nerve and hormone-producing cells are very rare. In such cases, the most appropriate treatment choice is not well defined. Here, we describe the generation of three-dimensional miniature tumors, called organoids, from the patient’s tumor tissue, that can be grown and studied in a culture dish. These organoids closely mimic the patient’s tumor and allowed us to test different drugs to identify the most effective therapy for informed treatment choice. What we describe in this study is an emerging approach for a practice known as personalized medicine, that aims to provide a more tailored treatment to patients. In summary, we demonstrate that this approach can be useful in a rare cancer type and that it holds significant potential to guide treatment decision in other patients with aggressive cancers. Meier, Nuciforo, Coto-Llerena et al. report a rare case of a patient with hepatocellular carcinoma with neuroendocrine differentiation. The authors establish organoids that recapitulate the genetic features of the patient’s tumor and are used for ex vivo drug testing to guide therapy selection in the patient.
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Bose S, Yao H, Huang Q, Whitaker R, Kontos CD, Previs RA, Shen X. Using genetically encoded fluorescent biosensors to interrogate ovarian cancer metabolism. J Ovarian Res 2022; 15:114. [PMID: 36266675 PMCID: PMC9585869 DOI: 10.1186/s13048-022-01046-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 09/27/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Epithelial ovarian cancer (OC) is the most lethal gynecological malignancy and patients present with significant metastatic burden, particularly to the adipose-rich microenvironment of the omentum. Recent evidence has highlighted the importance of metabolic adaptations in enabling this metastasis, leading to significant interest in evolving the arsenal of tools used to study OC metabolism. In this study, we demonstrate the capability of genetically encoded fluorescent biosensors to study OC, with a focus on 3D organoid models that better recapitulate in vivo tumor microenvironments. MATERIALS AND METHODS Plasmids encoding the metabolic biosensors HyPer, iNap, Peredox, and Perceval were transfected into 15 ovarian cancer cell lines to assay oxidative stress, NADPH/NADP+, NADH/NAD+, and ATP/ADP, respectively. Fluorescence readings were used to assay dynamic metabolic responses to omental conditioned media (OCM) and 100 μM carboplatin treatment. SKOV3 cells expressing HyPer were imaged as 2D monolayers, 3D organoids, and as in vivo metastases via an intravital omental window. We further established organoids from ascites collected from Stage III/IV OC patients with carboplatin-resistant or carboplatin-sensitive tumors (n = 8 total). These patient-derived organoids (PDOs) were engineered to express HyPer, and metabolic readings of oxidative stress were performed during treatment with 100 μM carboplatin. RESULTS Exposure to OCM or carboplatin induced heterogenous metabolic changes in 15 OC cell lines, as measured using metabolic sensors. Oxidative stress of in vivo omental metastases, measured via intravital imaging of metastasizing SKOV3-HyPer cells, was more closely recapitulated by SKOV3-HyPer organoids than by 2D monolayers. Finally, carboplatin treatment of HyPer-expressing PDOs induced higher oxidative stress in organoids derived from carboplatin-resistant patients than from those derived from carboplatin-sensitive patients. CONCLUSIONS Our study showed that biosensors provide a useful method of studying dynamic metabolic changes in preclinical models of OC, including 3D organoids and intravital imaging. As 3D models of OC continue to evolve, the repertoire of biosensors will likely serve as valuable tools to probe the metabolic changes of clinical importance in OC.
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Affiliation(s)
- Shree Bose
- Department of Biomedical Engineering, Duke University Pratt School of Engineering, Durham, NC, USA
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
| | - Haipei Yao
- Department of Biomedical Engineering, Duke University Pratt School of Engineering, Durham, NC, USA
| | - Qiang Huang
- Department of Biomedical Engineering, Duke University Pratt School of Engineering, Durham, NC, USA
- Department of Pediatric Surgery, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Regina Whitaker
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC, USA
| | - Christopher D Kontos
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Medicine, Division of Cardiology, Duke University Medical Center, Durham, NC, USA
| | - Rebecca A Previs
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC, USA
| | - Xiling Shen
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, USA.
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Rudolph SE, Longo BN, Tse MW, Houchin MR, Shokoufandeh MM, Chen Y, Kaplan DL. Crypt-Villus Scaffold Architecture for Bioengineering Functional Human Intestinal Epithelium. ACS Biomater Sci Eng 2022; 8:4942-4955. [PMID: 36191009 PMCID: PMC10379436 DOI: 10.1021/acsbiomaterials.2c00851] [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] [Indexed: 11/28/2022]
Abstract
Crypt-villus architecture in the small intestine is crucial for the structural integrity of the intestinal epithelium and maintenance of gut homeostasis. We utilized three-dimensional (3D) printing and inverse molding techniques to form three-dimensional (3D) spongy scaffold systems that resemble the intestinal crypt-villus microarchitecture. The scaffolds consist of silk fibroin protein with curved lumens with rows of protruding villi with invaginating crypts to generate the architecture. Intestinal cell (Caco-2, HT29-MTX) attachment and growth, as well as long-term culture support were demonstrated with cell polarization and tissue barrier properties compared to two-dimensional (2D) Transwell culture controls. Further, physiologically relevant oxygen gradients were generated in the 3D system. The various advantages of this system may be ascribed to the more physiologically relevant 3D environment, offering a system for the exploration of disease pathogenesis, host-microbiome interactions, and therapeutic discovery.
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Affiliation(s)
- Sara E Rudolph
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Brooke N Longo
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Megan W Tse
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Megan R Houchin
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Mina M Shokoufandeh
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - Ying Chen
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
| | - David L Kaplan
- Department of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, Massachusetts 02155, United States
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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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Li Y, Wong IY, Guo M. Reciprocity of Cell Mechanics with Extracellular Stimuli: Emerging Opportunities for Translational Medicine. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107305. [PMID: 35319155 PMCID: PMC9463119 DOI: 10.1002/smll.202107305] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/20/2022] [Indexed: 06/14/2023]
Abstract
Human cells encounter dynamic mechanical cues in healthy and diseased tissues, which regulate their molecular and biophysical phenotype, including intracellular mechanics as well as force generation. Recent developments in bio/nanomaterials and microfluidics permit exquisitely sensitive measurements of cell mechanics, as well as spatiotemporal control over external mechanical stimuli to regulate cell behavior. In this review, the mechanobiology of cells interacting bidirectionally with their surrounding microenvironment, and the potential relevance for translational medicine are considered. Key fundamental concepts underlying the mechanics of living cells as well as the extracelluar matrix are first introduced. Then the authors consider case studies based on 1) microfluidic measurements of nonadherent cell deformability, 2) cell migration on micro/nano-topographies, 3) traction measurements of cells in three-dimensional (3D) matrix, 4) mechanical programming of organoid morphogenesis, as well as 5) active mechanical stimuli for potential therapeutics. These examples highlight the promise of disease diagnosis using mechanical measurements, a systems-level understanding linking molecular with biophysical phenotype, as well as therapies based on mechanical perturbations. This review concludes with a critical discussion of these emerging technologies and future directions at the interface of engineering, biology, and medicine.
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Affiliation(s)
- Yiwei Li
- Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei, 430074, China
| | - Ian Y Wong
- School of Engineering, Center for Biomedical Engineering, Joint Program in Cancer Biology, Brown University, 184 Hope St Box D, Providence, RI, 02912, USA
| | - Ming Guo
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
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