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Wu H, Wang W, Zhang Y, Chen Y, Shan C, Li J, Jia Y, Li C, Du C, Cai Y, Zhang Y, Zhang S, Wu F. Establishment of patient-derived organoids for guiding personalized therapies in breast cancer patients. Int J Cancer 2024; 155:324-338. [PMID: 38533706 DOI: 10.1002/ijc.34931] [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: 11/06/2023] [Revised: 02/01/2024] [Accepted: 02/14/2024] [Indexed: 03/28/2024]
Abstract
Breast cancer has become the most commonly diagnosed cancer. The intra- and interpatient heterogeneity induced a considerable variation in treatment efficacy. There is an urgent requirement for preclinical models to anticipate the effectiveness of individualized drug responses. Patient-derived organoids (PDOs) can accurately recapitulate the architecture and biological characteristics of the origin tumor, making them a promising model that can overtake many limitations of cell lines and PDXs. However, it is still unclear whether PDOs-based drug testing can benefit breast cancer patients, particularly those with tumor recurrence or treatment resistance. Fresh tumor samples were surgically resected for organoid culture. Primary tumor samples and PDOs were subsequently subjected to H&E staining, immunohistochemical (IHC) analysis, and whole-exome sequencing (WES) to make comparisons. Drug sensitivity tests were performed to evaluate the feasibility of this model for predicting patient drug response in clinical practice. We established 75 patient-derived breast cancer organoid models. The results of H&E staining, IHC, and WES revealed that PDOs inherited the histologic and genetic characteristics of their parental tumor tissues. The PDOs successfully predicted the patient's drug response, and most cases exhibited consistency between PDOs' drug susceptibility test results and the clinical response of the matched patient. We conclude that the breast cancer organoids platform can be a potential preclinical tool used for the selection of effective drugs and guided personalized therapies for patients with advanced breast cancer.
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Affiliation(s)
- Huizi Wu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Weiwei Wang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Yinbin Zhang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Yinxi Chen
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Changyou Shan
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Jia Li
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Yiwei Jia
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Chaofan Li
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Chong Du
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Yifan Cai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Yu Zhang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Shuqun Zhang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Fei Wu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
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Hompe ED, Sachdeva UM. Updates in Translational Science for Esophageal and Gastric Cancers. Surg Oncol Clin N Am 2024; 33:571-581. [PMID: 38789199 DOI: 10.1016/j.soc.2023.12.022] [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] [Indexed: 05/26/2024]
Abstract
In this article, the authors summarize the current state of translational science for esophageal and gastric cancers. The available targeted therapies, immunotherapies, and recently discovered molecular targets are reviewed. The authors introduce circulating tumor deoxyribonucleic acid and its promise as a biomarker to detect disease recurrence. The authors present patient-derived organoids as a new model for studying carcinogenesis and treatment responses. Finally, we discuss the implications of organoid models for precision oncology and describe exciting new work applying gene editing technology to organoids and studying tumor-microenvironment interactions using 3-dimensional co-culture systems.
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Affiliation(s)
- Eliza D Hompe
- Division of Thoracic Surgery, Massachusetts General Hospital, 55 Fruit Street, Austen 7, Boston, MA 02114, ISA
| | - Uma M Sachdeva
- Division of Thoracic Surgery, Massachusetts General Hospital, 55 Fruit Street, Austen 7, Boston, MA 02114, ISA; Department of Surgery, Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
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3
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Lin S, Chen Q, Tan C, Su M, Min L, Ling L, Zhou J, Zhu T. ZEB family is a prognostic biomarker and correlates with anoikis and immune infiltration in kidney renal clear cell carcinoma. BMC Med Genomics 2024; 17:153. [PMID: 38840097 DOI: 10.1186/s12920-024-01895-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/28/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Zinc finger E-box binding homEeobox 1 (ZEB1) and ZEB2 are two anoikis-related transcription factors. The mRNA expressions of these two genes are significantly increased in kidney renal clear cell carcinoma (KIRC), which are associated with poor survival. Meanwhile, the mechanisms and clinical significance of ZEB1 and ZEB2 upregulation in KIRC remain unknown. METHODS Through the Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database, expression profiles, prognostic value and receiver operating characteristic curves (ROCs) of ZEB1 and ZEB2 were evaluated. The correlations of ZEB1 and ZEB2 with anoikis were further assessed in TCGA-KIRC database. Next, miRTarBase, miRDB, and TargetScan were used to predict microRNAs targeting ZEB1 and ZEB2, and TCGA-KIRC database was utilized to discern differences in microRNAs and establish the association between microRNAs and ZEBs. TCGA, TIMER, TISIDB, and TISCH were used to analyze tumor immune infiltration. RESULTS It was found that ZEB1 and ZEB2 expression were related with histologic grade in KIRC patient. Kaplan-Meier survival analyses showed that KIRC patients with low ZEB1 or ZEB2 levels had a significantly lower survival rate. Meanwhile, ZEB1 and ZEB2 are closely related to anoikis and are regulated by microRNAs. We constructed a risk model using univariate Cox and LASSO regression analyses to identify two microRNAs (hsa-miR-130b-3p and hsa-miR-138-5p). Furthermore, ZEB1 and ZEB2 regulate immune cell invasion in KIRC tumor microenvironments. CONCLUSIONS Anoikis, cytotoxic immune cell infiltration, and patient survival outcomes were correlated with ZEB1 and ZEB2 mRNA upregulation in KIRC. ZEB1 and ZEB2 are regulated by microRNAs.
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Affiliation(s)
- Sheng Lin
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Qi Chen
- Department of Urology, Foshan First People's Hospital, Foshan City, Guangdong Province, China
| | - Canliang Tan
- Department of general surgery, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
| | - Manyi Su
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Ling Min
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Lv Ling
- Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, China
| | - Junhao Zhou
- Department of general surgery, The Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong Province, China.
- KingMed school of Laboratory Medicine, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
| | - Ting Zhu
- Department of Laboratory Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong Province, China.
- KingMed school of Laboratory Medicine, Guangzhou Medical University, Guangzhou, Guangdong Province, China.
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4
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Hu Q, Zheng Q, Du X, Yang Z, Tian Q, Liang L, Zhao X, Bai H, Liu Y, Zhao M, Fu X. Intestinal metabolite xylulose inhibits colorectal cancer by inducing apoptosis through the MAPK signalling pathway. Toxicol Appl Pharmacol 2024; 487:116960. [PMID: 38735592 DOI: 10.1016/j.taap.2024.116960] [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: 02/14/2024] [Revised: 04/13/2024] [Accepted: 05/08/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND The intestinal metabolites are involved in the initiation, progression and metastasis of colorectal cancer (CRC). They are a potential source of agents for cancer therapy. Our previous study identified altered faecal metabolites between CRC patients and healthy volunteers. However, no specific metabolite was clearly illustrated for CRC therapy. RESULTS We found that the level of xylulose was lower in the stools of CRC patients than in those of healthy volunteers. Xylulose inhibited cell growth without affecting the cell cycle by inducing apoptosis in CRC cells, which was evidenced by increased expression of the proapoptotic proteins C-PARP and C-Caspase3 and decreased expression of the antiapoptotic protein BCL-2 in CRC cells. Mechanistically, xylulose reduced the activity of the MAPK signalling pathway, represented by reduced phosphorylation of JNK, ERK, and P38. Furthermore, an ALI model was used to show the tumour killing ability of xylulose on human CRC spheres, as well as human colorectal adenoma (AD) spheres. CONCLUSION Xylulose inhibits CRC growth by inducing apoptosis through attenuation of the MAPK signalling pathway. These results suggest that xylulose may serve as an effective agent for CRC therapy.
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Affiliation(s)
- Qing Hu
- Clinical medical college, North sichuan medical college, Nanchong, Sichuan 637000, PR China
| | - Qiao Zheng
- Clinical medical college, North sichuan medical college, Nanchong, Sichuan 637000, PR China
| | - Xinhao Du
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Ziyi Yang
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Qian Tian
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Lanfan Liang
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Xinyu Zhao
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Hang Bai
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Yanqin Liu
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China
| | - Ming Zhao
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China.
| | - Xiangsheng Fu
- Department of Gastroenterology, Clinical Medical College and the First Affiliated Hospital of Chengdu Medical College, Chengdu 610500, PR China.
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5
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Tan J, Virtue S, Norris DM, Conway OJ, Yang M, Bidault G, Gribben C, Lugtu F, Kamzolas I, Krycer JR, Mills RJ, Liang L, Pereira C, Dale M, Shun-Shion AS, Baird HJ, Horscroft JA, Sowton AP, Ma M, Carobbio S, Petsalaki E, Murray AJ, Gershlick DC, Nathan JA, Hudson JE, Vallier L, Fisher-Wellman KH, Frezza C, Vidal-Puig A, Fazakerley DJ. Limited oxygen in standard cell culture alters metabolism and function of differentiated cells. EMBO J 2024; 43:2127-2165. [PMID: 38580776 PMCID: PMC11148168 DOI: 10.1038/s44318-024-00084-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/20/2024] [Accepted: 03/03/2024] [Indexed: 04/07/2024] Open
Abstract
The in vitro oxygen microenvironment profoundly affects the capacity of cell cultures to model physiological and pathophysiological states. Cell culture is often considered to be hyperoxic, but pericellular oxygen levels, which are affected by oxygen diffusivity and consumption, are rarely reported. Here, we provide evidence that several cell types in culture actually experience local hypoxia, with important implications for cell metabolism and function. We focused initially on adipocytes, as adipose tissue hypoxia is frequently observed in obesity and precedes diminished adipocyte function. Under standard conditions, cultured adipocytes are highly glycolytic and exhibit a transcriptional profile indicative of physiological hypoxia. Increasing pericellular oxygen diverted glucose flux toward mitochondria, lowered HIF1α activity, and resulted in widespread transcriptional rewiring. Functionally, adipocytes increased adipokine secretion and sensitivity to insulin and lipolytic stimuli, recapitulating a healthier adipocyte model. The functional benefits of increasing pericellular oxygen were also observed in macrophages, hPSC-derived hepatocytes and cardiac organoids. Our findings demonstrate that oxygen is limiting in many terminally-differentiated cell types, and that considering pericellular oxygen improves the quality, reproducibility and translatability of culture models.
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Affiliation(s)
- Joycelyn Tan
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Sam Virtue
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
| | - Dougall M Norris
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Olivia J Conway
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Ming Yang
- MRC Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ, UK
- CECAD Research Center, Faculty of Medicine, University Hospital Cologne, Cologne, 50931, Germany
| | - Guillaume Bidault
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Christopher Gribben
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, CB2 0AW, UK
| | - Fatima Lugtu
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, CB2 0AW, UK
| | - Ioannis Kamzolas
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - James R Krycer
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
- Faculty of Health, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, 4000, Australia
| | - Richard J Mills
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
- Faculty of Health, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, 4000, Australia
| | - Lu Liang
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Conceição Pereira
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, CB2 0XY, UK
| | - Martin Dale
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Amber S Shun-Shion
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Harry Jm Baird
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - James A Horscroft
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EL, UK
| | - Alice P Sowton
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EL, UK
| | - Marcella Ma
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Stefania Carobbio
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK
- Centro de Investigacion Principe Felipe, Valencia, 46012, Spain
| | - Evangelia Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK
| | - Andrew J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EL, UK
| | - David C Gershlick
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, CB2 0XY, UK
| | - James A Nathan
- Cambridge Institute of Therapeutic Immunology and Infectious Disease (CITIID), Jeffrey Cheah Biomedical Centre, Department of Medicine, University of Cambridge, Cambridge, CB2 0AW, UK
| | - James E Hudson
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, 4006, Australia
- Faculty of Health, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, 4000, Australia
- Faculty of Medicine, School of Biomedical Sciences, The University of Queensland, Brisbane, QLD, 4072, Australia
| | - Ludovic Vallier
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, CB2 0AW, UK
| | - Kelsey H Fisher-Wellman
- Department of Physiology, Brody School of Medicine, East Carolina University, Greenville, NC, 27834, USA
- East Carolina Diabetes and Obesity Institute, East Carolina University, Greenville, NC, 27834, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, 27599, USA
| | - Christian Frezza
- MRC Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ, UK
- CECAD Research Center, Faculty of Medicine, University Hospital Cologne, Cologne, 50931, Germany
| | - Antonio Vidal-Puig
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
- Centro de Investigacion Principe Felipe, Valencia, 46012, Spain.
| | - Daniel J Fazakerley
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, CB2 0QQ, UK.
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Kalla J, Pfneissl J, Mair T, Tran L, Egger G. A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00960-8. [PMID: 38806997 DOI: 10.1007/s13402-024-00960-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2024] [Indexed: 05/30/2024] Open
Abstract
Cancer is a highly heterogeneous disease, and thus treatment responses vary greatly between patients. To improve therapy efficacy and outcome for cancer patients, more representative and patient-specific preclinical models are needed. Organoids and tumoroids are 3D cell culture models that typically retain the genetic and epigenetic characteristics, as well as the morphology, of their tissue of origin. Thus, they can be used to understand the underlying mechanisms of cancer initiation, progression, and metastasis in a more physiological setting. Additionally, co-culture methods of tumoroids and cancer-associated cells can help to understand the interplay between a tumor and its tumor microenvironment. In recent years, tumoroids have already helped to refine treatments and to identify new targets for cancer therapy. Advanced culturing systems such as chip-based fluidic devices and bioprinting methods in combination with tumoroids have been used for high-throughput applications for personalized medicine. Even though organoid and tumoroid models are complex in vitro systems, validation of results in vivo is still the common practice. Here, we describe how both animal- and human-derived tumoroids have helped to identify novel vulnerabilities for cancer treatment in recent years, and how they are currently used for precision medicine.
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Affiliation(s)
- Jessica Kalla
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Janette Pfneissl
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Theresia Mair
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Loan Tran
- Department of Pathology, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Gerda Egger
- Department of Pathology, Medical University of Vienna, Vienna, Austria.
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria.
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
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7
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Lampis S, Galardi A, Di Paolo V, Di Giannatale A. Organoids as a new approach for improving pediatric cancer research. Front Oncol 2024; 14:1414311. [PMID: 38835365 PMCID: PMC11148379 DOI: 10.3389/fonc.2024.1414311] [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: 04/08/2024] [Accepted: 05/07/2024] [Indexed: 06/06/2024] Open
Abstract
A key challenge in cancer research is the meticulous development of models that faithfully emulates the intricacies of the patient scenario, with emphasis on preserving intra-tumoral heterogeneity and the dynamic milieu of the tumor microenvironment (TME). Organoids emerge as promising tool in new drug development, drug screening and precision medicine. Despite advances in the diagnoses and treatment of pediatric cancers, certain tumor subtypes persist in yielding unfavorable prognoses. Moreover, the prognosis for a significant portion of children experiencing disease relapse is dismal. To improve pediatric outcome many groups are focusing on the development of precision medicine approach. In this review, we summarize the current knowledge about using organoid system as model in preclinical and clinical solid-pediatric cancer. Since organoids retain the pivotal characteristics of primary parent tumors, they exert great potential in discovering novel tumor biomarkers, exploring drug-resistance mechanism and predicting tumor responses to chemotherapy, targeted therapy and immunotherapies. We also examine both the potential opportunities and existing challenges inherent organoids, hoping to point out the direction for future organoid development.
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Affiliation(s)
- Silvia Lampis
- Hematology/Oncology and Cell and Gene Therapy Unit, IRCCS, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Angela Galardi
- Hematology/Oncology and Cell and Gene Therapy Unit, IRCCS, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Virginia Di Paolo
- Hematology/Oncology and Cell and Gene Therapy Unit, IRCCS, Ospedale Pediatrico Bambino Gesù, Rome, Italy
| | - Angela Di Giannatale
- Hematology/Oncology and Cell and Gene Therapy Unit, IRCCS, Ospedale Pediatrico Bambino Gesù, Rome, Italy
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8
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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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9
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Banerjee P, Senapati S. Translational Utility of Organoid Models for Biomedical Research on Gastrointestinal Diseases. Stem Cell Rev Rep 2024:10.1007/s12015-024-10733-3. [PMID: 38758462 DOI: 10.1007/s12015-024-10733-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/01/2024] [Indexed: 05/18/2024]
Abstract
Organoid models have recently been utilized to study 3D human-derived tissue systems to uncover tissue architecture and adult stem cell biology. Patient-derived organoids unambiguously provide the most suitable in vitro system to study disease biology with the actual genetic background. With the advent of much improved and innovative approaches, patient-derived organoids can potentially be used in regenerative medicine. Various human tissues were explored to develop organoids due to their multifold advantage over the conventional in vitro cell line culture approach and in vivo models. Gastrointestinal (GI) tissues have been widely studied to establish organoids and organ-on-chip for screening drugs, nutraceuticals, and other small molecules having therapeutic potential. The function of channel proteins, transporters, and transmembrane proteins was also explained. The successful application of genome editing in organoids using the CRISPR-Cas approach has been reported recently. GI diseases such as Celiac disease (CeD), Inflammatory bowel disease (IBD), and common GI cancers have been investigated using several patient-derived organoid models. Recent advancements on organoid bio-banking and 3D bio-printing contributed significantly in personalized disease management and therapeutics. This article reviews the available literature on investigations and translational applications of patient-derived GI organoid models, notably on elucidating gut-microbial interaction and epigenetic modifications.
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Affiliation(s)
- Pratibha Banerjee
- Immunogenomics Laboratory, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, Punjab, India
| | - Sabyasachi Senapati
- Immunogenomics Laboratory, Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, Punjab, India.
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10
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Yu Y, Liang Y, Xie F, Zhang Z, Zhang P, Zhao X, Zhang Z, Liang Z, Li D, Wang L, Chen Y, Sun L, Niu H, Wang Y. Tumor-associated macrophage enhances PD-L1-mediated immune escape of bladder cancer through PKM2 dimer-STAT3 complex nuclear translocation. Cancer Lett 2024; 593:216964. [PMID: 38762193 DOI: 10.1016/j.canlet.2024.216964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/27/2024] [Accepted: 05/13/2024] [Indexed: 05/20/2024]
Abstract
Tumor-associated macrophages (TAMs) are important components of the tumor microenvironment (TME) and strongly associated with poor prognosis and drug resistance, including checkpoint blockade immunotherapy in solid tumor patients. However, the mechanism by which TAM affects immune metabolism reprogramming and immune checkpoint signalling pathway in the TME remains elusive. In this study we found that transforming growth factor-beta (TGF-β) secreted by M2-TAMs increased the level of glycolysis in bladder cancer (BLCA) and played important role in PD-L1-mediated immune evasion through pyruvate kinase isoenzymes M2 (PKM2). Mechanistically, TGF-β promoted high expression of PKM2 by promoting the nuclear translocation of PKM2 dimer in conjunction with phosphorylated signal transducer and activator of transcription (p-STAT3), which then exerted its kinase activity to promote PD-L1 expression in BLCA. Moreover, SB-431542 (TGF-β blocker) and shikonin (PKM2 inhibitor) significantly reduced PD-L1 expression and inhibited BLCA growth and organoids by enhancing anti-tumor immune responses. In conclusion, M2-TAM-derived TGF-β promotes PD-L1-mediated immune evasion in BLCA by increasing the PKM2 dimer-STAT3 complex nuclear translocation. Combined blockade of the TGF-β receptor and inhibition of PKM2 effectively prevent BLCA progression and immunosuppression, providing a potential targeted therapeutic strategy for BLCA.
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Affiliation(s)
- Yongbo Yu
- Urology Department, The Affiliated Hospital of Qingdao University, China; Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China; Medicine College, Qingdao University, Qingdao, China; Department of Urology, Weifang People's Hospital, Weifang Medical University, Weifang, China
| | - Ye Liang
- Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Fei Xie
- Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Zhao Zhang
- Urology Department, The Affiliated Hospital of Qingdao University, China; Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China; Medicine College, Qingdao University, Qingdao, China
| | - Pengfei Zhang
- Urology Department, The Affiliated Hospital of Qingdao University, China; Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China; Medicine College, Qingdao University, Qingdao, China
| | - Xinzhao Zhao
- Urology Department, The Affiliated Hospital of Qingdao University, China; Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China; Medicine College, Qingdao University, Qingdao, China
| | - Zhilei Zhang
- Department of Urology, Weifang People's Hospital, Weifang Medical University, Weifang, China
| | - Zhijuan Liang
- Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Dan Li
- Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Liping Wang
- Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Yuanbin Chen
- Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China
| | - Lijiang Sun
- Urology Department, The Affiliated Hospital of Qingdao University, China
| | - Haitao Niu
- Urology Department, The Affiliated Hospital of Qingdao University, China; Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
| | - Yonghua Wang
- Urology Department, The Affiliated Hospital of Qingdao University, China; Key Laboratory, Department of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
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11
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Angelopoulou A. Nanostructured Biomaterials in 3D Tumor Tissue Engineering Scaffolds: Regenerative Medicine and Immunotherapies. Int J Mol Sci 2024; 25:5414. [PMID: 38791452 PMCID: PMC11121067 DOI: 10.3390/ijms25105414] [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: 04/28/2024] [Revised: 05/13/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
The evaluation of nanostructured biomaterials and medicines is associated with 2D cultures that provide insight into biological mechanisms at the molecular level, while critical aspects of the tumor microenvironment (TME) are provided by the study of animal xenograft models. More realistic models that can histologically reproduce human tumors are provided by tissue engineering methods of co-culturing cells of varied phenotypes to provide 3D tumor spheroids that recapitulate the dynamic TME in 3D matrices. The novel approaches of creating 3D tumor models are combined with tumor tissue engineering (TTE) scaffolds including hydrogels, bioprinted materials, decellularized tissues, fibrous and nanostructured matrices. This review focuses on the use of nanostructured materials in cancer therapy and regeneration, and the development of realistic models for studying TME molecular and immune characteristics. Tissue regeneration is an important aspect of TTE scaffolds used for restoring the normal function of the tissues, while providing cancer treatment. Thus, this article reports recent advancements in the development of 3D TTE models for antitumor drug screening, studying tumor metastasis, and tissue regeneration. Also, this review identifies the significant opportunities of using 3D TTE scaffolds in the evaluation of the immunological mechanisms and processes involved in the application of immunotherapies.
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Affiliation(s)
- Athina Angelopoulou
- Department of Pharmacy, School of Health Sciences, University of Patras, 26504 Patras, Greece
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12
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Zheng X, Zhang X, Yu S. Organoids derived from metastatic cancers: Present and future. Heliyon 2024; 10:e30457. [PMID: 38720734 PMCID: PMC11077038 DOI: 10.1016/j.heliyon.2024.e30457] [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: 01/03/2024] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 05/12/2024] Open
Abstract
Organoids are three-dimensional structures derived from primary tissue or tumors that closely mimic the architecture, histology, and function of the parental tissue. In recent years, patient-derived organoids (PDOs) have emerged as powerful tools for modeling tumor heterogeneity, drug screening, and personalized medicine. Although most cancer organoids are derived from primary tumors, the ability of organoids from metastatic cancer to serve as a model for studying tumor biology and predicting the therapeutic response is an area of active investigation. Recent studies have shown that organoids derived from metastatic sites can provide valuable insights into tumor biology and may be used to validate predictive models of the drug response. In this comprehensive review, we discuss the feasibility of culturing organoids from multiple metastatic cancers and evaluate their potential for advancing basic cancer research, drug development, and personalized therapy. We also explore the limitations and challenges associated with using metastasis organoids for cancer research. Overall, this review provides a comprehensive overview of the current state and future prospects of metastatic cancer-derived organoids.
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Affiliation(s)
- Xuejing Zheng
- Departments of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinxin Zhang
- Departments of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shengji Yu
- Departments of Orthopedics, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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13
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Lockhart EJ, Horowitz LF, Rodríguez A, Zhu S, Nguyen T, Mehrabi M, Gujral TS, Folch A. Drug testing of monodisperse arrays of live microdissected tumors using a valved multiwell microfluidic platform. LAB ON A CHIP 2024; 24:2683-2699. [PMID: 38651213 DOI: 10.1039/d4lc00016a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
Cancer drug testing in animals is an extremely poor predictor of the drug's safety and efficacy observed in humans. Hence there is a pressing need for functional testing platforms that better predict traditional and immunotherapy responses in human, live tumor tissue or tissue constructs, and at the same time are compatible with the use of mouse tumor tissue to facilitate building more accurate disease models. Since many cancer drug actions rely on mechanisms that depend on the tumor microenvironment (TME), such platforms should also retain as much of the native TME as possible. Additionally, platforms based on miniaturization technologies are desirable to reduce animal use and sensitivity to human tissue scarcity. Present high-throughput testing platforms that have some of these features, e.g. based on patient-derived tumor organoids, require a growth step that alters the TME. On the other hand, microdissected tumors (μDTs) or "spheroids" that retain an intact TME have shown promising responses to immunomodulators acting on native immune cells. However, difficult tissue handling after microdissection has reduced the throughput of drug testing on μDTs, thereby constraining the inherent advantages of producing numerous TME-preserving units of tissue for drug testing. Here we demonstrate a microfluidic 96-well platform designed for drug treatment of hundreds of similarly-sized, cuboidal μDTs ("cuboids") produced from a single tumor sample. The platform organizes a monodisperse array of four cuboids per well in 384 hydrodynamic traps. The microfluidic device, entirely fabricated in thermoplastics, features 96 microvalves that fluidically isolate each well after the cuboid loading step for straightforward multi-drug testing. Since our platform makes the most of scarce tumor tissue, it can potentially be applied to human biopsies that preserve the human TME while minimizing animal testing.
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Affiliation(s)
- Ethan J Lockhart
- Department of Bioengineering, University of Washington, Seattle, USA.
| | - Lisa F Horowitz
- Department of Bioengineering, University of Washington, Seattle, USA.
| | - Adán Rodríguez
- Department of Bioengineering, University of Washington, Seattle, USA.
| | - Songli Zhu
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Tran Nguyen
- Department of Bioengineering, University of Washington, Seattle, USA.
| | | | - Taranjit S Gujral
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Albert Folch
- Department of Bioengineering, University of Washington, Seattle, USA.
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14
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Xue G, Li X, Kalim M, Fang J, Jiang Z, Zheng N, Wang Z, Li X, Abdelrahim M, He Z, Nikiforov M, Jin G, Lu Y. Clinical drug screening reveals clofazimine potentiates the efficacy while reducing the toxicity of anti-PD-1 and CTLA-4 immunotherapy. Cancer Cell 2024; 42:780-796.e6. [PMID: 38518774 DOI: 10.1016/j.ccell.2024.03.001] [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: 06/05/2023] [Revised: 01/17/2024] [Accepted: 03/01/2024] [Indexed: 03/24/2024]
Abstract
Emerging as the most potent and durable combinational immunotherapy, dual anti-PD-1 and CTLA-4 immune checkpoint blockade (ICB) therapy notoriously increases grade 3-5 immune-related adverse events (irAEs) in patients. Accordingly, attempts to improve the antitumor potency of anti-PD-1+CTLA-4 ICB by including additional therapeutics have been largely discouraged due to concerns of further increasing fatal toxicity. Here, we screened ∼3,000 Food and Drug Administration (FDA)-approved drugs and identified clofazimine as a potential third agent to optimize anti-PD-1+CTLA-4 ICB. Remarkably, clofazimine outperforms ICB dose reduction or steroid treatment in reversing lethality of irAEs, but unlike the detrimental effect of steroids on antitumor efficacy, clofazimine potentiates curative responses in anti-PD-1+CTLA-4 ICB. Mechanistically, clofazimine promotes E2F1 activation in CD8+ T cells to overcome resistance and counteracts pathogenic Th17 cells to abolish irAEs. Collectively, clofazimine potentiates the antitumor efficacy of anti-PD-1+CTLA-4 ICB, curbs intractable irAEs, and may fill a desperate clinical need to improve patient survival.
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Affiliation(s)
- Gang Xue
- Comprehensive Cancer Center, Wake Forest Baptist Health, Winston-Salem, NC 27157, USA.
| | - Xin Li
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Muhammad Kalim
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Jing Fang
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Zhiwu Jiang
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Ningbo Zheng
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Ziyu Wang
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Xiaoyin Li
- Department of Mathematics and Statistics, St. Cloud State University, St Cloud, MN 56301, USA
| | - Maen Abdelrahim
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA
| | - Zhiheng He
- Department of Molecular Microbiology and Immunology, University of Southern California, Los Angeles, CA 90033, USA.
| | | | - Guangxu Jin
- Comprehensive Cancer Center, Wake Forest Baptist Health, Winston-Salem, NC 27157, USA.
| | - Yong Lu
- Houston Methodist Cancer Center/Weill Cornell Medicine, Houston, TX 77030, USA.
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15
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Zhang W, Wu C, Huang H, Bleu P, Zambare W, Alvarez J, Wang L, Paty PB, Romesser PB, Smith JJ, Chen XS. Enhancing Chemotherapy Response Prediction via Matched Colorectal Tumor-Organoid Gene Expression Analysis and Network-Based Biomarker Selection. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.24.24301749. [PMID: 38343861 PMCID: PMC10854336 DOI: 10.1101/2024.01.24.24301749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
Colorectal cancer (CRC) poses significant challenges in chemotherapy response prediction due to its molecular heterogeneity. This study introduces an innovative methodology that leverages gene expression data generated from matched colorectal tumor and organoid samples to enhance prediction accuracy. By applying Consensus Weighted Gene Co-expression Network Analysis (WGCNA) across multiple datasets, we identify critical gene modules and hub genes that correlate with patient responses, particularly to 5-fluorouracil (5-FU). This integrative approach advances precision medicine by refining chemotherapy regimen selection based on individual tumor profiles. Our predictive model demonstrates superior accuracy over traditional methods on independent datasets, illustrating significant potential in addressing the complexities of high-dimensional genomic data for cancer biomarker research.
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16
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Han X, Cai C, Deng W, Shi Y, Li L, Wang C, Zhang J, Rong M, Liu J, Fang B, He H, Liu X, Deng C, He X, Cao X. Landscape of human organoids: Ideal model in clinics and research. Innovation (N Y) 2024; 5:100620. [PMID: 38706954 PMCID: PMC11066475 DOI: 10.1016/j.xinn.2024.100620] [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: 10/31/2023] [Accepted: 03/29/2024] [Indexed: 05/07/2024] Open
Abstract
In the last decade, organoid research has entered a golden era, signifying a pivotal shift in the biomedical landscape. The year 2023 marked a milestone with the publication of thousands of papers in this arena, reflecting exponential growth. However, amid this burgeoning expansion, a comprehensive and accurate overview of the field has been conspicuously absent. Our review is intended to bridge this gap, providing a panoramic view of the rapidly evolving organoid landscape. We meticulously analyze the organoid field from eight distinctive vantage points, harnessing our rich experience in academic research, industrial application, and clinical practice. We present a deep exploration of the advances in organoid technology, underpinned by our long-standing involvement in this arena. Our narrative traverses the historical genesis of organoids and their transformative impact across various biomedical sectors, including oncology, toxicology, and drug development. We delve into the synergy between organoids and avant-garde technologies such as synthetic biology and single-cell omics and discuss their pivotal role in tailoring personalized medicine, enhancing high-throughput drug screening, and constructing physiologically pertinent disease models. Our comprehensive analysis and reflective discourse provide a deep dive into the existing landscape and emerging trends in organoid technology. We spotlight technological innovations, methodological evolution, and the broadening spectrum of applications, emphasizing the revolutionary influence of organoids in personalized medicine, oncology, drug discovery, and other fields. Looking ahead, we cautiously anticipate future developments in the field of organoid research, especially its potential implications for personalized patient care, new avenues of drug discovery, and clinical research. We trust that our comprehensive review will be an asset for researchers, clinicians, and patients with keen interest in personalized medical strategies. We offer a broad view of the present and prospective capabilities of organoid technology, encompassing a wide range of current and future applications. In summary, in this review we attempt a comprehensive exploration of the organoid field. We offer reflections, summaries, and projections that might be useful for current researchers and clinicians, and we hope to contribute to shaping the evolving trajectory of this dynamic and rapidly advancing field.
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Affiliation(s)
- Xinxin Han
- Organ Regeneration X Lab, Lisheng East China Institute of Biotechnology, Peking University, Jiangsu 226200, China
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Chunhui Cai
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Wei Deng
- LongHua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping South Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
| | - Yanghua Shi
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Lanyang Li
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Chen Wang
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Jian Zhang
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Mingjie Rong
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Jiping Liu
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Bangjiang Fang
- LongHua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping South Road, Xuhui District, Shanghai 200032, China
| | - Hua He
- Department of Neurosurgery, Third Affiliated Hospital, Naval Medical University, Shanghai 200438, China
| | - Xiling Liu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China
| | - Chuxia Deng
- Cancer Center, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR, China
- Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Taipa, Macau SAR 999078, China
| | - Xiao He
- CAS Key Lab for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Cao
- Zhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical College, Shanghai 200032, China
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17
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Haderk F, Chou YT, Cech L, Fernández-Méndez C, Yu J, Olivas V, Meraz IM, Barbosa Rabago D, Kerr DL, Gomez C, Allegakoen DV, Guan J, Shah KN, Herrington KA, Gbenedio OM, Nanjo S, Majidi M, Tamaki W, Pourmoghadam YK, Rotow JK, McCoach CE, Riess JW, Gutkind JS, Tang TT, Post L, Huang B, Santisteban P, Goodarzi H, Bandyopadhyay S, Kuo CJ, Roose JP, Wu W, Blakely CM, Roth JA, Bivona TG. Focal adhesion kinase-YAP signaling axis drives drug-tolerant persister cells and residual disease in lung cancer. Nat Commun 2024; 15:3741. [PMID: 38702301 PMCID: PMC11068778 DOI: 10.1038/s41467-024-47423-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/18/2024] [Indexed: 05/06/2024] Open
Abstract
Targeted therapy is effective in many tumor types including lung cancer, the leading cause of cancer mortality. Paradigm defining examples are targeted therapies directed against non-small cell lung cancer (NSCLC) subtypes with oncogenic alterations in EGFR, ALK and KRAS. The success of targeted therapy is limited by drug-tolerant persister cells (DTPs) which withstand and adapt to treatment and comprise the residual disease state that is typical during treatment with clinical targeted therapies. Here, we integrate studies in patient-derived and immunocompetent lung cancer models and clinical specimens obtained from patients on targeted therapy to uncover a focal adhesion kinase (FAK)-YAP signaling axis that promotes residual disease during oncogenic EGFR-, ALK-, and KRAS-targeted therapies. FAK-YAP signaling inhibition combined with the primary targeted therapy suppressed residual drug-tolerant cells and enhanced tumor responses. This study unveils a FAK-YAP signaling module that promotes residual disease in lung cancer and mechanism-based therapeutic strategies to improve tumor response.
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Affiliation(s)
- Franziska Haderk
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Yu-Ting Chou
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Cech
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Celia Fernández-Méndez
- Instituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científícas (CSIC) y Universidad Autónoma de Madrid (UAM), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Johnny Yu
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Victor Olivas
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Ismail M Meraz
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dora Barbosa Rabago
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - D Lucas Kerr
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Carlos Gomez
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - David V Allegakoen
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Juan Guan
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Khyati N Shah
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Kari A Herrington
- Center for Advanced Light Microscopy, University of California, San Francisco, San Francisco, CA, USA
| | | | - Shigeki Nanjo
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Mourad Majidi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Whitney Tamaki
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yashar K Pourmoghadam
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Julia K Rotow
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Caroline E McCoach
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan W Riess
- University of California Davis Comprehensive Cancer Center, Sacramento, CA, USA
| | - J Silvio Gutkind
- Moores Cancer Center, University of California, San Diego, La Jolla, CA, USA
| | - Tracy T Tang
- Vivace Therapeutics, Inc., 1500 Fashion Island Blvd., Suite 102, San Mateo, CA, USA
| | - Leonard Post
- Vivace Therapeutics, Inc., 1500 Fashion Island Blvd., Suite 102, San Mateo, CA, USA
| | - Bo Huang
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Pilar Santisteban
- Instituto de Investigaciones Biomédicas "Alberto Sols", Consejo Superior de Investigaciones Científícas (CSIC) y Universidad Autónoma de Madrid (UAM), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Hani Goodarzi
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Sourav Bandyopadhyay
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Calvin J Kuo
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeroen P Roose
- Department of Anatomy, University of California, San Francisco, San Francisco, CA, USA
| | - Wei Wu
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Collin M Blakely
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Jack A Roth
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Trever G Bivona
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
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18
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Yin S, Yu Y, Wu N, Zhuo M, Wang Y, Niu Y, Ni Y, Hu F, Ding C, Liu H, Cheng X, Peng J, Li J, He Y, Li J, Wang J, Zhang H, Zhai X, Liu B, Wang Y, Yan S, Chen M, Li W, Peng J, Peng F, Xi R, Ye B, Jiang L, Xi JJ. Patient-derived tumor-like cell clusters for personalized chemo- and immunotherapies in non-small cell lung cancer. Cell Stem Cell 2024; 31:717-733.e8. [PMID: 38593797 DOI: 10.1016/j.stem.2024.03.008] [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: 11/11/2023] [Revised: 01/11/2024] [Accepted: 03/11/2024] [Indexed: 04/11/2024]
Abstract
Many patient-derived tumor models have emerged recently. However, their potential to guide personalized drug selection remains unclear. Here, we report patient-derived tumor-like cell clusters (PTCs) for non-small cell lung cancer (NSCLC), capable of conducting 100-5,000 drug tests within 10 days. We have established 283 PTC models with an 81% success rate. PTCs contain primary tumor epithelium self-assembled with endogenous stromal and immune cells and show a high degree of similarity to the original tumors in phenotypic and genotypic features. Utilizing standardized culture and drug-response assessment protocols, PTC drug-testing assays reveal 89% overall consistency in prospectively predicting clinical outcomes, with 98.1% accuracy distinguishing complete/partial response from progressive disease. Notably, PTCs enable accurate prediction of clinical outcomes for patients undergoing anti-PD1 therapy by combining cell viability and IFN-γ value assessments. These findings suggest that PTCs could serve as a valuable preclinical model for personalized medicine and basic research in NSCLC.
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Affiliation(s)
- Shenyi Yin
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Ying Yu
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Nan Wu
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Minglei Zhuo
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Yanmin Wang
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Yanjie Niu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Yiqian Ni
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Fang Hu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Cuiming Ding
- Department of Respiratory Medicine, The Fourth Hospital of Hebei University, Shijiazhuang, Hebei Province, China
| | - Hongsheng Liu
- Department of Thoracic Oncology, Peking Union Medical College Hospital, No. 1 Shuaifuyuan, Dongcheng District, Beijing, China
| | - Xinghua Cheng
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Jin Peng
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China
| | - Juan Li
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Yang He
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Jiaxin Li
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Junyi Wang
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China
| | - Hanshuo Zhang
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China; GeneX Health Co, Ltd, Beijing 100195, China
| | - Xiaoyu Zhai
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Bing Liu
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Yaqi Wang
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Shi Yan
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Mailin Chen
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Wenqing Li
- Department I of Thoracic Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital, Fu-Cheng Road, Beijing, China
| | - Jincui Peng
- Department of Respiratory Medicine, The Fourth Hospital of Hebei University, Shijiazhuang, Hebei Province, China
| | - Fei Peng
- Department of Respiratory Medicine, The Fourth Hospital of Hebei University, Shijiazhuang, Hebei Province, China
| | - Ruibin Xi
- School of Mathematical Sciences, Center for Statistical Science and Department of Biostatistics, Peking University, Beijing 100871, China
| | - Buqing Ye
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.
| | - Liyan Jiang
- Department of Respiratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, No. 241 West Huaihai Road, Shanghai, China.
| | - Jianzhong Jeff Xi
- State Key Laboratory of Natural and Biomimetic Drugs, Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing 100871, China.
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19
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Wang X, Luo Y, Ma Y, Wang P, Yao R. Converging bioprinting and organoids to better recapitulate the tumor microenvironment. Trends Biotechnol 2024; 42:648-663. [PMID: 38071145 DOI: 10.1016/j.tibtech.2023.11.006] [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: 10/02/2023] [Revised: 11/09/2023] [Accepted: 11/10/2023] [Indexed: 05/04/2024]
Abstract
Bioprinting shows excellent potential for preclinical tumor modeling, with significant advantages over 2D cell cultures in replicating the tumor microenvironment (TME). Recently, the use of tumor organoids in bioprinting models has emerged as a groundbreaking approach to simulate volumetric tumor tissues. This synergetic fabrication method leverages the advantages of the spatial and geometric control of bioprinting to assemble heterogeneous TME components, while tumor organoids maintain collective cell behaviors. In this review, we provide a landscape of the latest progress on the convergence of 3D bioprinting and tumor organoids. Furthermore, we discuss the potential to incorporate organ-on-a-chip with bioprinting tumor organoids to improve the biomimicry and predictability of therapeutic performance. Lastly, we address the challenges to personalized medicine and predictive clinical integration.
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Affiliation(s)
- Xiaoyu Wang
- School of Medicine, Tsinghua University, Beijing 100084, China; Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Yixue Luo
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Yuankai Ma
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Pengyu Wang
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
| | - Rui Yao
- Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China.
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20
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Dong Y, Hu K, Zhang J, Zhu M, Liu M, Yuan Y, Sun X, Xu Z, Li S, Zhu Y, Zhang C, Zhang P, Liu T. ScRNA-seq of gastric cancer tissues reveals differences in the immune microenvironment of primary tumors and metastases. Oncogene 2024; 43:1549-1564. [PMID: 38555278 DOI: 10.1038/s41388-024-03012-5] [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: 08/17/2023] [Revised: 03/12/2024] [Accepted: 03/15/2024] [Indexed: 04/02/2024]
Abstract
Gastric carcinoma (GC) is regarded as one of the deadliest cancer characterized by diversity and haste metastasis and suffers limited understanding of the spatial variation between primary and metastatic GC tumors. In this project, transcriptome analysis on 46 primary tumorous, adjacent non-tumorous, and metastatic GC tissues was performed. The results demonstrated that metastatic tumorous tissues had diminished CD8+ T cells compared to primary tumors, which is mechanistically attributed to being due to innate immunity differences represented by marked differences in macrophages between metastatic and primary tumors, particularly those expressing ApoE, where their abundance is linked to unfavorable prognoses. Examining variations in gene expression and interactions indicated possible strategies of immune evasion hindering the growth of CD8+ T cells in metastatic tumor tissues. More insights could be gained into the immune evasion mechanisms by portraying information about the GC ecosystem.
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Affiliation(s)
- Yu Dong
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Keshu Hu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jiayu Zhang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Mengxuan Zhu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Mengling Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yitao Yuan
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xun Sun
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Zhenghang Xu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Suyao Li
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yanjing Zhu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Chi Zhang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Pengfei Zhang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Tianshu Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, 20032, China.
- Center of Evidence-based Medicine, Fudan University, Shanghai, China.
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21
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Liu Y, Gao H, Chen H, Ji S, Wu L, Zhang H, Wang Y, Fu X, Sun X. Sebaceous gland organoid engineering. BURNS & TRAUMA 2024; 12:tkae003. [PMID: 38699464 PMCID: PMC11063650 DOI: 10.1093/burnst/tkae003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/27/2023] [Indexed: 05/05/2024]
Abstract
Sebaceous glands (SGs), as holocrine-secreting appendages, lubricate the skin and play a central role in the skin barrier. Large full-thickness skin defects cause overall architecture disruption and SG loss. However, an effective strategy for SG regeneration is lacking. Organoids are 3D multicellular structures that replicate key anatomical and functional characteristics of in vivo tissues and exhibit great potential in regenerative medicine. Recently, considerable progress has been made in developing reliable procedures for SG organoids and existing SG organoids recapitulate the main morphological, structural and functional features of their in vivo counterparts. Engineering approaches empower researchers to manipulate cell behaviors, the surrounding environment and cell-environment crosstalk within the culture system as needed. These techniques can be applied to the SG organoid culture system to generate functionally more competent SG organoids. This review aims to provide an overview of recent advancements in SG organoid engineering. It highlights some potential strategies for SG organoid functionalization that are promising to forge a platform for engineering vascularized, innervated, immune-interactive and lipogenic SG organoids. We anticipate that this review will not only contribute to improving our understanding of SG biology and regeneration but also facilitate the transition of the SG organoid from laboratory research to a feasible clinical application.
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Affiliation(s)
- Yiqiong Liu
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Huanhuan Gao
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Huating Chen
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Shuaifei Ji
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Lu Wu
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Hongliang Zhang
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Yujia Wang
- Queen Mary School of Nanchang University, Nanchang University, Nanchang, Jiangxi 330006, P. R. China
| | - Xiaobing Fu
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
| | - Xiaoyan Sun
- Research Center for Tissue Repair and Regeneration affliated to the Medical Innovation Research Department and 4th Medical Center, PLA General Hospital and PLA Medical College; PLA Key Laboratory of Tissue Repair and Regenerative Medicine and Beijing Key Research Laboratory of Skin Injury, Repair and Regeneration; Research Unit of Trauma Care, Tissue Repair and Regeneration, Chinese Academy of Medical Sciences, 2019RU051, Beijing 100048, P. R. China
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22
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Ding D, Liang R, Li T, Lan T, Li Y, Huang S, He G, Ren J, Li W, Zheng Z, Chen T, Fang J, Huang L, Shuai X, Wei B. Nanodrug modified with engineered cell membrane targets CDKs to activate aPD-L1 immunotherapy against liver metastasis of immune-desert colon cancer. J Control Release 2024; 369:309-324. [PMID: 38554771 DOI: 10.1016/j.jconrel.2024.03.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 03/10/2024] [Accepted: 03/27/2024] [Indexed: 04/02/2024]
Abstract
Immunotherapy based on the PD-1/PD-L1 axis blockade has no benefit for patients diagnosed with colon cancer liver metastasis (CCLM) for the microsatellite stable/proficient mismatch repair (MSS/pMMR)) subtype, which is known as an immune-desert cancer featuring poor immunogenicity and insufficient CD8+ T cell infiltration in the tumor microenvironment. Here, a multifunctional nanodrug carrying a cyclin-dependent kinase (CDK)1/2/5/9 inhibitor and PD-L1 antibody is prepared to boost the immune checkpoint blockade (ICB)-based immunotherapy against MSS/pMMR CCLM via reversing the immunosuppressive tumor microenvironment. To enhance the MSS/pMMR CCLM-targeting efficacy, we modify the nanodrug with PD-L1 knockout cell membrane of this colon cancer subtype. First, CDKs inhibitor delivered by nanodrug down-regulates phosphorylated retinoblastoma and phosphorylated RNA polymerase II and meanwhile arrests the G2/M cell cycle in CCLM to promote immunogenic signal release, stimulate dendritic cell maturation, and enhance CD8+ T cell infiltration. Moreover, CDKi suppresses the secretion of immunosuppressive cytokines in tumor-associated myeloid cells sensitizing ICB therapy in CCLM. Notably, the great efficacy to activate immune responses is demonstrated in the patient-derived xenograft model and the patient-derived organoid model as well, revealing a clinical application potential. Overall, our study represents a promising therapeutic approach for targeting liver metastasis, remolding the tumor immune microenvironment (TIME), and enhancing the response of MSS/pMMR CCLM to boost ICB immunotherapy.
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Affiliation(s)
- Dongbing Ding
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Rongpu Liang
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Tan Li
- Nanomedicine Research Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Tianyun Lan
- Central Laboratory, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Yiquan Li
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Shengxin Huang
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Guanhui He
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Jiannan Ren
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Weibo Li
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Zongheng Zheng
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Tufeng Chen
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Jiafeng Fang
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Lijun Huang
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Xintao Shuai
- Nanomedicine Research Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
| | - Bo Wei
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
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23
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Goldner Kabeli R, Zevin S, Abargel A, Zilberberg A, Efroni S. Self-supervised learning of T cell receptor sequences exposes core properties for T cell membership. SCIENCE ADVANCES 2024; 10:eadk4670. [PMID: 38669334 DOI: 10.1126/sciadv.adk4670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
The T cell receptor (TCR) repertoire is an extraordinarily diverse collection of TCRs essential for maintaining the body's homeostasis and response to threats. In this study, we compiled an extensive dataset of more than 4200 bulk TCR repertoire samples, encompassing 221,176,713 sequences, alongside 6,159,652 single-cell TCR sequences from over 400 samples. From this dataset, we then selected a representative subset of 5 million bulk sequences and 4.2 million single-cell sequences to train two specialized Transformer-based language models for bulk (CVC) and single-cell (scCVC) TCR repertoires, respectively. We show that these models successfully capture TCR core qualities, such as sharing, gene composition, and single-cell properties. These qualities are emergent in the encoded TCR latent space and enable classification into TCR-based qualities such as public sequences. These models demonstrate the potential of Transformer-based language models in TCR downstream applications.
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Affiliation(s)
- Romi Goldner Kabeli
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Sarit Zevin
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Avital Abargel
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Alona Zilberberg
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
| | - Sol Efroni
- The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
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24
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HUANG Z, LI B, WANG Y, XUE J, WEI Z, LIANG N, LI S. [Application and Research Progress of Lung Cancer Organoid in Precision Medicine
for Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2024; 27:276-282. [PMID: 38769830 PMCID: PMC11110296 DOI: 10.3779/j.issn.1009-3419.2024.106.07] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Indexed: 05/22/2024]
Abstract
The continuous advancement of molecular detection technology has greatly propelled the development of precision medicine for lung cancer. However, tumor heterogeneity is closely associated with tumor metastasis, recurrence, and drug resistance. Additionally, different lung cancer patients with the same genetic mutation may exhibit varying treatment responses to different therapeutic strategies. Therefore, the development of modern precision medicine urgently requires the precise formulation of personalized treatment strategies through personalized tumor models. Lung cancer organoid (LCO) can highly simulate the biological characteristics of tumor in vivo, facilitating the application of innovative drugs such as antibody-drug conjugate in precision medicine for lung cancer. With the development of co-culture model of LCO with tumor microenvironment and tissue engineering technology such as microfluidic chip, LCO can better preserve the biological characteristics and functions of tumor tissue, further improving high-throughput and automated drug sensitivity experiment. In this review, we combine the latest research progress to summarize the application progress and challenges of LCO in precision medicine for lung cancer.
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25
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Zhang Y, Hu Q, Pei Y, Luo H, Wang Z, Xu X, Zhang Q, Dai J, Wang Q, Fan Z, Fang Y, Ye M, Li B, Chen M, Xue Q, Zheng Q, Zhang S, Huang M, Zhang T, Gu J, Xiong Z. A patient-specific lung cancer assembloid model with heterogeneous tumor microenvironments. Nat Commun 2024; 15:3382. [PMID: 38643164 PMCID: PMC11032376 DOI: 10.1038/s41467-024-47737-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: 11/10/2022] [Accepted: 04/08/2024] [Indexed: 04/22/2024] Open
Abstract
Cancer models play critical roles in basic cancer research and precision medicine. However, current in vitro cancer models are limited by their inability to mimic the three-dimensional architecture and heterogeneous tumor microenvironments (TME) of in vivo tumors. Here, we develop an innovative patient-specific lung cancer assembloid (LCA) model by using droplet microfluidic technology based on a microinjection strategy. This method enables precise manipulation of clinical microsamples and rapid generation of LCAs with good intra-batch consistency in size and cell composition by evenly encapsulating patient tumor-derived TME cells and lung cancer organoids inside microgels. LCAs recapitulate the inter- and intratumoral heterogeneity, TME cellular diversity, and genomic and transcriptomic landscape of their parental tumors. LCA model could reconstruct the functional heterogeneity of cancer-associated fibroblasts and reflect the influence of TME on drug responses compared to cancer organoids. Notably, LCAs accurately replicate the clinical outcomes of patients, suggesting the potential of the LCA model to predict personalized treatments. Collectively, our studies provide a valuable method for precisely fabricating cancer assembloids and a promising LCA model for cancer research and personalized medicine.
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Affiliation(s)
- Yanmei Zhang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Qifan Hu
- MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Yuquan Pei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Hao Luo
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Zixuan Wang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Xinxin Xu
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Qing Zhang
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Jianli Dai
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Qianqian Wang
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Zilian Fan
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Yongcong Fang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Min Ye
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Binhan Li
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Mailin Chen
- Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Qingfeng Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shulin Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Miao Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Ting Zhang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Jin Gu
- MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Zhuo Xiong
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China.
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China.
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26
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Lê H, Deforges J, Cutolo P, Lamarque A, Hua G, Lindner V, Jain S, Balloul JM, Benkirane-Jessel N, Quéméneur E. Patient-derived tumoroids and proteomic signatures: tools for early drug discovery. Front Immunol 2024; 15:1379613. [PMID: 38698850 PMCID: PMC11063793 DOI: 10.3389/fimmu.2024.1379613] [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: 01/31/2024] [Accepted: 03/14/2024] [Indexed: 05/05/2024] Open
Abstract
Onco-virotherapy is an emergent treatment for cancer based on viral vectors. The therapeutic activity is based on two different mechanisms including tumor-specific oncolysis and immunostimulatory properties. In this study, we evaluated onco-virotherapy in vitro responses on immunocompetent non-small cell lung cancer (NSCLC) patient-derived tumoroids (PDTs) and healthy organoids. PDTs are accurate tools to predict patient's clinical responses at the in vitro stage. We showed that onco-virotherapy could exert specific antitumoral effects by producing a higher number of viral particles in PDTs than in healthy organoids. In the present work, we used multiplex protein screening, based on proximity extension assay to highlight different response profiles. Our results pointed to the increase of proteins implied in T cell activation, such as IFN-γ following onco-virotherapy treatment. Based on our observation, oncolytic viruses-based therapy responders are dependent on several factors: a high PD-L1 expression, which is a biomarker of greater immune response under immunotherapies, and the number of viral particles present in tumor tissue, which is dependent to the metabolic state of tumoral cells. Herein, we highlight the use of PDTs as an alternative in vitro model to assess patient-specific responses to onco-virotherapy at the early stage of the preclinical phases.
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Affiliation(s)
- Hélène Lê
- Transgene S.A., Illkirch–Graffenstaden, France
- INSERM UMR1260, Regenerative Nanomedicine, Strasbourg, France
| | | | | | | | - Guoqiang Hua
- INSERM UMR1260, Regenerative Nanomedicine, Strasbourg, France
| | - Véronique Lindner
- INSERM UMR1260, Regenerative Nanomedicine, Strasbourg, France
- Department of Pathology, Hopitaux Universitaires de Strasbourg, Strasbourg, France
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27
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Yu S, Zhang L, Yang Y, Wang M, Liu T, Ji W, Liu Y, Lv H, Zhao Y, Chen X, Hu T. Polydopamine-Based Resveratrol-Hyaluronidase Nanomedicine Inhibited Pancreatic Cancer Cell Invasive Phenotype in Hyaluronic Acid Enrichment Tumor Sphere Model. ACS Pharmacol Transl Sci 2024; 7:1013-1022. [PMID: 38633596 PMCID: PMC11020062 DOI: 10.1021/acsptsci.3c00304] [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: 10/26/2023] [Revised: 12/13/2023] [Accepted: 12/25/2023] [Indexed: 04/19/2024]
Abstract
The dense storm microenvironment formed by an excessively cross-linked extracellular matrix, such as hyaluronic acid and collagens, serves as a major barrier that prevents drugs from reaching the deeper tumor. Current traditional two-dimensional (2D) cultures are not capable of modeling this drug delivery barrier in vitro. Thus, tumor spheroids have become increasingly important in cancer research due to their three-dimensional structure. Currently, various methods have been developed to construct tumor spheroids. However, there are still challenges, such as lengthy construction time, complex composition of added growth factors, and high cultivation costs. To address this technical bottleneck, our study combined the GelMA hydrogel system to develop a rapid and high-yield method for tumor spheroids generation. Additionally, we proposed an evaluation scheme to assess the effects of drugs on tumor spheroids. Building on the hyaluronic acid-rich pathological tumor microenvironment, we constructed a resveratrol-loaded nano-drug delivery system with tumor stroma modulation capability and used a three-dimensional (3D) tumor sphere model to simulate in vivo tumor conditions. This process was utilized to completely evaluate the ability of the nano-drug delivery system to enhance the deep penetration of resveratrol in the tumor microenvironment, providing new insights into future oncology drug screening, efficacy assessment, and drug delivery methods.
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Affiliation(s)
- Shuo Yu
- Department
of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, China
- Department
of General Surgery, The Second Affiliated
Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710004, China
- Bioinspired
Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an, Shaanxi 710000, China
| | - Lu Zhang
- National
& Local Joint Engineering Research Center of Biodiagnosis and
Biotherapy, The Second Affiliated Hospital
of Xi’an Jiaotong University, Xi’an 710004, China
| | - Yanshen Yang
- Bioinspired
Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an, Shaanxi 710000, China
| | - Meijuan Wang
- Department
of Anesthesia, Guangdong Provincial People’s
Hospital, Guangzhou 510080, China
| | - Tingting Liu
- Department
of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, China
| | - Wenwen Ji
- Department
of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, China
| | - Yang Liu
- Department
of General Surgery, The Second Affiliated
Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710004, China
| | - Hao Lv
- Department
of General Surgery, The Second Affiliated
Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710004, China
| | - Yang Zhao
- National
& Local Joint Engineering Research Center of Biodiagnosis and
Biotherapy, The Second Affiliated Hospital
of Xi’an Jiaotong University, Xi’an 710004, China
| | - Xi Chen
- National
& Local Joint Engineering Research Center of Biodiagnosis and
Biotherapy, The Second Affiliated Hospital
of Xi’an Jiaotong University, Xi’an 710004, China
| | - Tinghua Hu
- Department
of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710061, China
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28
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Martincuks A, Zhang C, Austria T, Li YJ, Huang R, Lugo Santiago N, Kohut A, Zhao Q, Borrero RM, Shen B, Cristea M, Wang EW, Song M, Rodriguez-Rodriguez L, Yu H. Targeting PARG induces tumor cell growth inhibition and antitumor immune response by reducing phosphorylated STAT3 in ovarian cancer. J Immunother Cancer 2024; 12:e007716. [PMID: 38580335 PMCID: PMC11002370 DOI: 10.1136/jitc-2023-007716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Ovarian cancer is the most lethal gynecological malignancy, with limited treatment options after failure of standard therapies. Despite the potential of poly(ADP-ribose) polymerase inhibitors in treating DNA damage response (DDR)-deficient ovarian cancer, the development of resistance and immunosuppression limit their efficacy, necessitating alternative therapeutic strategies. Inhibitors of poly(ADP-ribose) glycohydrolase (PARG) represent a novel class of inhibitors that are currently being assessed in preclinical and clinical studies for cancer treatment. METHODS By using a PARG small-molecule inhibitor, COH34, and a cell-penetrating antibody targeting the PARG's catalytic domain, we investigated the effects of PARG inhibition on signal transducer and activator of transcription 3 (STAT3) in OVCAR8, PEO1, and Brca1-null ID8 ovarian cancer cell lines, as well as in immune cells. We examined PARG inhibition-induced effects on STAT3 phosphorylation, nuclear localization, target gene expression, and antitumor immune responses in vitro, in patient-derived tumor organoids, and in an immunocompetent Brca1-null ID8 ovarian mouse tumor model that mirrors DDR-deficient human high-grade serous ovarian cancer. We also tested the effects of overexpressing a constitutively activated STAT3 mutant on COH34-induced tumor cell growth inhibition. RESULTS Our findings show that PARG inhibition downregulates STAT3 activity through dephosphorylation in ovarian cancer cells. Importantly, overexpression of a constitutively activated STAT3 mutant in tumor cells attenuates PARG inhibitor-induced growth inhibition. Additionally, PARG inhibition reduces STAT3 phosphorylation in immune cells, leading to the activation of antitumor immune responses, shown in immune cells cocultured with ovarian cancer patient tumor-derived organoids and in immune-competent mice-bearing mouse ovarian tumors. CONCLUSIONS We have identified a novel antitumor mechanism underlying PARG inhibition beyond its primary antitumor effects through blocking DDR in ovarian cancer. Furthermore, targeting PARG activates antitumor immune responses, thereby potentially increasing response rates to immunotherapy in patients with ovarian cancer.
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Affiliation(s)
- Antons Martincuks
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Chunyan Zhang
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Theresa Austria
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Yi-Jia Li
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Rui Huang
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Nicole Lugo Santiago
- Department of Surgery, City of Hope National Medical Center, Duarte, California, USA
| | - Adrian Kohut
- Department of Surgery, City of Hope National Medical Center, Duarte, California, USA
| | - Qianqian Zhao
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
- City of Hope Irell & Manella Graduate School of Biological Sciences, Duarte, California, USA
| | - Rosemarie Martinez Borrero
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
- City of Hope Irell & Manella Graduate School of Biological Sciences, Duarte, California, USA
| | - Binghui Shen
- Department of Cancer Genetics and Epigenetics, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Mihaela Cristea
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California, USA
| | - Edward W Wang
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California, USA
| | - Mihae Song
- Department of Surgery, City of Hope National Medical Center, Duarte, California, USA
| | | | - Hua Yu
- Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA
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29
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Yan S, He Y, Zhu Y, Ye W, Chen Y, Zhu C, Zhan F, Ma Z. Human patient derived organoids: an emerging precision medicine model for gastrointestinal cancer research. Front Cell Dev Biol 2024; 12:1384450. [PMID: 38638528 PMCID: PMC11024315 DOI: 10.3389/fcell.2024.1384450] [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: 02/09/2024] [Accepted: 03/22/2024] [Indexed: 04/20/2024] Open
Abstract
Gastrointestinal cancers account for approximately one-third of the total global cancer incidence and mortality with a poor prognosis. It is one of the leading causes of cancer-related deaths worldwide. Most of these diseases lack effective treatment, occurring as a result of inappropriate models to develop safe and potent therapies. As a novel preclinical model, tumor patient-derived organoids (PDOs), can be established from patients' tumor tissue and cultured in the laboratory in 3D architectures. This 3D model can not only highly simulate and preserve key biological characteristics of the source tumor tissue in vitro but also reproduce the in vivo tumor microenvironment through co-culture. Our review provided an overview of the different in vitro models in current tumor research, the derivation of cells in PDO models, and the application of PDO model technology in gastrointestinal cancers, particularly the applications in combination with CRISPR/Cas9 gene editing technology, tumor microenvironment simulation, drug screening, drug development, and personalized medicine. It also elucidates the ethical status quo of organoid research and the current challenges encountered in clinical research, and offers a forward-looking assessment of the potential paths for clinical organoid research advancement.
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Affiliation(s)
- Sicheng Yan
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Huzhou, China
- School of Basic Medicine College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuxuan He
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Huzhou, China
- School of Basic Medicine College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuehong Zhu
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Huzhou, China
- School of Basic Medicine College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Wangfang Ye
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Huzhou, China
- School of Basic Medicine College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yan Chen
- Department of Colorectal Surgery, Huzhou Central Hospital, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, China
| | - Cong Zhu
- Department of Colorectal Surgery, Huzhou Central Hospital, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, China
| | - Fuyuan Zhan
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Huzhou, China
- School of Basic Medicine College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhihong Ma
- Huzhou Key Laboratory of Molecular Medicine, Huzhou Central Hospital, The Affiliated Central Hospital of Huzhou University, Huzhou, China
- School of Basic Medicine College, Zhejiang Chinese Medical University, Hangzhou, China
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30
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Rahman MM, Wells G, Rantala JK, Helleday T, Muthana M, Danson SJ. In-vitro assays for immuno-oncology drug efficacy assessment and screening for personalized cancer therapy: scopes and challenges. Expert Rev Clin Immunol 2024:1-18. [PMID: 38546609 DOI: 10.1080/1744666x.2024.2336583] [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: 11/30/2023] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION Immunotherapies have revolutionized cancer treatment, but often fail to produce desirable therapeutic outcomes in all patients. Due to the inter-patient heterogeneity and complexity of the tumor microenvironment, personalized treatment approaches are gaining demand. Researchers have long been using a range of in-vitro assays including 2D models, organoid co-cultures, and cancer-on-a-chip platforms for cancer drug screening. A comparative analysis of these assays with their suitability, high-throughput capacity, and clinical translatability is required for optimal translational use. AREAS COVERED The review summarized in-vitro platforms with their comparative advantages and limitations including construction strategies, and translational potential for immuno-oncology drug efficacy assessment. We also discussed end-point analysis strategies so that researchers can contextualize their usefulness and optimally design experiments for personalized immunotherapy efficacy prediction. EXPERT OPINION Researchers developed several in-vitro platforms that can provide information on personalized immunotherapy efficacy from different angles. Image-based assays are undoubtedly more suitable to gather a wide range of information including cellular morphology and phenotypical behaviors but need significant improvement to overcome issues including background noise, sample preparation difficulty, and long duration of experiment. More studies and clinical trials are needed to resolve these issues and validate the assays before they can be used in real-life scenarios.
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Affiliation(s)
- Md Marufur Rahman
- Sheffield Ex vivo Group, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Directorate General of Health Services, Dhaka, Bangladesh
| | - Greg Wells
- Sheffield Ex vivo Group, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Juha K Rantala
- Sheffield Ex vivo Group, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Misvik Biology Ltd, Turku, Finland
| | - Thomas Helleday
- Sheffield Ex vivo Group, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
- Department of Oncology-Pathology, Karolinska Institutet, Huddinge, Sweden
| | - Munitta Muthana
- Nanobug Oncology Sheffield, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
| | - Sarah J Danson
- Sheffield Ex vivo Group, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK
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31
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Deng C. Revealing the secret behind Epstein-Barr virus-specific tumor immune contexture. Cancer Commun (Lond) 2024; 44:491-494. [PMID: 38446537 PMCID: PMC11024679 DOI: 10.1002/cac2.12529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/07/2024] Open
Affiliation(s)
- Chu‐Xia Deng
- Cancer CenterFaculty of Health SciencesUniversity of MacauMacauP. R. China
- MOE Frontier Science Center for Precision OncologyUniversity of MacauMacauP. R. China
- Translational Research Center, Zhuhai UM Science & Technology Research InstituteZhuhaiGuangdongP. R. China
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32
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Yang H, Li M, Deng Y, Wen H, Luo M, Zhang W. Roles and interactions of tumor microenvironment components in medulloblastoma with implications for novel therapeutics. Genes Chromosomes Cancer 2024; 63:e23233. [PMID: 38607297 DOI: 10.1002/gcc.23233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 03/16/2024] [Indexed: 04/13/2024] Open
Abstract
Medulloblastomas, the most common malignant pediatric brain tumors, can be classified into the wingless, sonic hedgehog (SHH), group 3, and group 4 subgroups. Among them, the SHH subgroup with the TP53 mutation and group 3 generally present with the worst patient outcomes due to their high rates of recurrence and metastasis. A novel and effective treatment for refractory medulloblastomas is urgently needed. To date, the tumor microenvironment (TME) has been shown to influence tumor growth, recurrence, and metastasis through immunosuppression, angiogenesis, and chronic inflammation. Treatments targeting TME components have emerged as promising approaches to the treatment of solid tumors. In this review, we summarize progress in research on medulloblastoma microenvironment components and their interactions. We also discuss challenges and future research directions for TME-targeting medulloblastoma therapy.
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Affiliation(s)
- Hanjie Yang
- Department of Pediatric Neurosurgery, Neurosurgery Center, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Min Li
- Department of Pediatric Neurosurgery, Neurosurgery Center, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yuhao Deng
- Department of Pediatric Neurosurgery, Neurosurgery Center, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Huantao Wen
- Department of Pediatric Neurosurgery, Neurosurgery Center, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Minjie Luo
- Department of Pediatric Neurosurgery, Neurosurgery Center, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Wangming Zhang
- Department of Pediatric Neurosurgery, Neurosurgery Center, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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33
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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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Jiang YZ, Ma D, Jin X, Xiao Y, Yu Y, Shi J, Zhou YF, Fu T, Lin CJ, Dai LJ, Liu CL, Zhao S, Su GH, Hou W, Liu Y, Chen Q, Yang J, Zhang N, Zhang WJ, Liu W, Ge W, Yang WT, You C, Gu Y, Kaklamani V, Bertucci F, Verschraegen C, Daemen A, Shah NM, Wang T, Guo T, Shi L, Perou CM, Zheng Y, Huang W, Shao ZM. Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities. NATURE CANCER 2024; 5:673-690. [PMID: 38347143 DOI: 10.1038/s43018-024-00725-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/04/2024] [Indexed: 04/30/2024]
Abstract
Molecular profiling guides precision treatment of breast cancer; however, Asian patients are underrepresented in publicly available large-scale studies. We established a comprehensive multiomics cohort of 773 Chinese patients with breast cancer and systematically analyzed their genomic, transcriptomic, proteomic, metabolomic, radiomic and digital pathology characteristics. Here we show that compared to breast cancers in white individuals, Asian individuals had more targetable AKT1 mutations. Integrated analysis revealed a higher proportion of HER2-enriched subtype and correspondingly more frequent ERBB2 amplification and higher HER2 protein abundance in the Chinese HR+HER2+ cohort, stressing anti-HER2 therapy for these individuals. Furthermore, comprehensive metabolomic and proteomic analyses revealed ferroptosis as a potential therapeutic target for basal-like tumors. The integration of clinical, transcriptomic, metabolomic, radiomic and pathological features allowed for efficient stratification of patients into groups with varying recurrence risks. Our study provides a public resource and new insights into the biology and ancestry specificity of breast cancer in the Asian population, offering potential for further precision treatment approaches.
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Affiliation(s)
- Yi-Zhou Jiang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Ding Ma
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xi Jin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi Xiao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Jinxiu Shi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China
| | - Yi-Fan Zhou
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tong Fu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cai-Jin Lin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei-Jie Dai
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cheng-Lin Liu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shen Zhao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guan-Hua Su
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wanwan Hou
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yaqing Liu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qingwang Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Jingcheng Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
- Greater Bay Area Institute of Precision Medicine, Guangzhou, China
| | - Naixin Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Wen-Juan Zhang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Liu
- Westlake Omics (Hangzhou) Biotechnology, Hangzhou, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology, Hangzhou, China
| | - Wen-Tao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chao You
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Virginia Kaklamani
- Division Haematology/Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - François Bertucci
- Predictive Oncology Laboratory and Department of Medical Oncology, CRCM, Institut Paoli-Calmettes, Inserm UMR1068, CNRS UMR7258, Aix-Marseille Université, Marseille, France
| | | | - Anneleen Daemen
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA
| | - Nakul M Shah
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Ting Wang
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Tiannan Guo
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
- International Human Phenome Institutes (Shanghai), Shanghai, China
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China.
| | - Wei Huang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China.
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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35
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Lu C, Le Q. Advances in Organoid Technology: A Focus on Corneal Limbal Organoids. Stem Cell Rev Rep 2024:10.1007/s12015-024-10706-6. [PMID: 38558362 DOI: 10.1007/s12015-024-10706-6] [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] [Accepted: 02/26/2024] [Indexed: 04/04/2024]
Abstract
Organoid technology provides a versatile platform for simulating organogenesis, investigating disease pathogenesis, and exploring therapeutic interventions. Among various types of organoids that have been developed, corneal limbal organoids, the three-dimensional miniaturized corneas which are derived from either pluripotent stem cells or limbal epithelial stem cells, are particularly promising for clinical translation. This narrative review summarized the state-of-the-art in corneal limbal organoids research including the cultivation methods, clinical relevance and its limitations and challenges. The potential of corneal limbal organoids in mimicking corneal development, disease modelling, drug screening, and regenerative medicine was discussed. Technical improvements in cultivation techniques, imaging modalities, and gene editing tools are anticipated to overcome current limitations and further promote its clinical potential. Despite challenges and difficulties, the development of corneal limbal organoids opens a new era of regenerative medicine and provides a potential source of stem cell replacement therapies for challenging corneal diseases with the establishment of an in vitro corneal limbal organoid bank.
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Affiliation(s)
- Chuwei Lu
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, Shanghai, 200031, China
| | - Qihua Le
- Department of Ophthalmology, Eye & ENT Hospital of Fudan University, Shanghai, 200031, China.
- Research Center, Eye & ENT Hospital of Fudan University, Shanghai, 200031, China.
- Myopia Key Laboratory of Ministry of Health, Eye & ENT Hospital of Fudan University, Shanghai, 200031, China.
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36
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Chen X, Ye L, Wang H, Liu X, Zhao L, Xu K, Liu Y, He Y. Promising preclinical models for lung cancer research-lung cancer organoids: a narrative review. Transl Lung Cancer Res 2024; 13:623-634. [PMID: 38601435 PMCID: PMC11002517 DOI: 10.21037/tlcr-23-341] [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: 05/28/2023] [Accepted: 01/17/2024] [Indexed: 04/12/2024]
Abstract
Background and Objective Traditional cell line models are the commonly used preclinical models for lung cancer research. However, cell lines cannot recapitulate the complex tumor heterogeneity and cannot mimic the microenvironment of human cancer. Recently, 3D multicellular in vitro self-assembled models called "organoids" have been developed at a fast pace in the field of research, which can mimic the actual primary tumor. At present, several studies have reported on protocols of lung cancer organoids (LCOs) generation, and using LCOs can provide novel insight into the basic and translational research of lung cancer. However, the establishment of the LCO models remains challenging due to the complexity of lung cancer and the immaturity of organoid technology, so it is necessary to understand the influences of different methodologies on LCO generation and review the applications and limitations of LCO models. Methods In this review, we searched the literature in the recent ten years in the field of LCOs. Key Content and Findings We summarized the methodology, the problems, and the solutions in the LCOs generation, its application and limitations, as well as proposing future challenges and perspectives. Conclusions Currently, LCOs are successfully generated via exploring the methodology by the researchers. Though there are still challenges in clinical application, LCOs are applied in some cancer studies including investigation of anti-cancer treatment response in vitro, modeling tumor immune microenvironment, and construction of organ chips, which are forging a promising path towards precision medicine.
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Affiliation(s)
- Xinru Chen
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Li Ye
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Hao Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Xinyue Liu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Lishu Zhao
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Kandi Xu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Yujin Liu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
| | - Yayi He
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
- School of Medicine, Tongji University, Shanghai, China
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37
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Jia D, Wang Q, Qi Y, Jiang Y, He J, Lin Y, Sun Y, Xu J, Chen W, Fan L, Yan R, Zhang W, Ren G, Xu C, Ge Q, Wang L, Liu W, Xu F, Wu P, Wang Y, Chen S, Wang L. Microbial metabolite enhances immunotherapy efficacy by modulating T cell stemness in pan-cancer. Cell 2024; 187:1651-1665.e21. [PMID: 38490195 DOI: 10.1016/j.cell.2024.02.022] [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: 05/16/2023] [Revised: 12/31/2023] [Accepted: 02/20/2024] [Indexed: 03/17/2024]
Abstract
The immune checkpoint blockade (ICB) response in human cancers is closely linked to the gut microbiota. Here, we report that the abundance of commensal Lactobacillus johnsonii is positively correlated with the responsiveness of ICB. Supplementation with Lactobacillus johnsonii or tryptophan-derived metabolite indole-3-propionic acid (IPA) enhances the efficacy of CD8+ T cell-mediated αPD-1 immunotherapy. Mechanistically, Lactobacillus johnsonii collaborates with Clostridium sporogenes to produce IPA. IPA modulates the stemness program of CD8+ T cells and facilitates the generation of progenitor exhausted CD8+ T cells (Tpex) by increasing H3K27 acetylation at the super-enhancer region of Tcf7. IPA improves ICB responsiveness at the pan-cancer level, including melanoma, breast cancer, and colorectal cancer. Collectively, our findings identify a microbial metabolite-immune regulatory pathway and suggest a potential microbial-based adjuvant approach to improve the responsiveness of immunotherapy.
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Affiliation(s)
- Dingjiacheng Jia
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Qiwen Wang
- Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Yadong Qi
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Yao Jiang
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Jiamin He
- Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Yifeng Lin
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Yong Sun
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Jilei Xu
- Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Wenwen Chen
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Lina Fan
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Ruochen Yan
- Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Wang Zhang
- Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Guohong Ren
- Department of Breast Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China
| | - Chaochao Xu
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Qiwei Ge
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Lan Wang
- Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China
| | - Wei Liu
- Institute of Plant Protection and Microbiology, Zhejiang Academy of Agriculture Sciences, Hangzhou, Zhejiang Province 310021, China
| | - Fei Xu
- Institute of Pharmaceutical Biotechnology and Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China
| | - Pin Wu
- Department of Thoracic Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China
| | - Yuhao Wang
- Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China
| | - Shujie Chen
- Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang Province 310001, China.
| | - Liangjing Wang
- Department of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310058, China; Institution of Gastroenterology, Zhejiang University, Hangzhou, Zhejiang Province 310058, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang Province 310001, China.
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Horowitz LF, Rodriguez-Mias R, Zhu S, Gottshall NR, Stepanov I, Stiles C, Yeung M, Nguyen TN, Lockhart EJ, Yeung RS, Villen J, Gujral TS, Folch A. Microdissected tumor cuboids: a microscale cancer model that retains a complex tumor microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.22.586189. [PMID: 38585935 PMCID: PMC10996559 DOI: 10.1101/2024.03.22.586189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Present cancer disease models - typically based on cell cultures and animal models that lack the human tumor microenvironment (TME) - are extremely poor predictors of human disease outcomes. Microscale cancer models that combine the micromanipulation of tissues and fluids offer the exciting possibility of miniaturizing the drug testing workflow, enabling inexpensive, more efficient tests of high clinical biomimicry that maximize the use of scarce human tissue and minimize animal testing. Critically, these microscale models allow for precisely addressing the impact of the structural features of the heterogeneous TME to properly target and understand the contributions of these unique zones to therapeutic response. We have recently developed a precision slicing method that yields large numbers of cuboidal micro-tissues ("cuboids", ∼ (400 µm) 3 ) from a single tumor biopsy. Here we evaluate cuboids from syngeneic mouse tumor models and human tumors, which contain native immune cells, as models for drug and immunotherapy evaluation. We characterize relevant TME parameters, such as their cellular architecture (immune cells and vasculature), cytokine secretion, proteomics profiles, and their response to drug panels in multi-well arrays. Despite the cutting procedure and the time spent in culture (up to 7 days), the cuboids display strong functional responses such as cytokine and drug responses. Overall, our results suggest that cuboids make an excellent model for applications that require the TME, such as immunotherapy drug evaluations, including for clinical trials and personalized oncology approaches.
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Gottshall NR, Stepanov I, Ahmadianyazdi A, Sinha D, Lockhart E, Nguyen TN, Hassan S, Horowitz L, Yeung R, Gujral TS, Folch A. Micromanipulation of Live Microdissected Tissues with a Low-Cost Integrated Robotic Platform. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.21.586169. [PMID: 38586030 PMCID: PMC10996467 DOI: 10.1101/2024.03.21.586169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
The small amount of human tissue available for testing is a paramount challenge in cancer drug development, cancer disease models, and personalized oncology. Technologies that combine the microscale manipulation of tissues with fluid handling offer the exciting possibility of miniaturizing and automating drug evaluation workflows. This approach minimizes animal testing and enables inexpensive, more efficient testing of samples with high clinical biomimicry using scarce materials. We have developed an inexpensive platform based on an off-the-shelf robot that can manipulate microdissected tissues (µDTs) into user-programmed positions without using intricate microfluidic designs nor any other accessories such as a microscope or a pneumatic controller. The robot integrates complex functions such as vision and fluid actuation by incorporating simple items including a USB camera and a rotary pump. Through the robot's camera, the platform software optically recognizes randomly-seeded µDTs on the surface of a petri dish and positions a mechanical arm above the µDTs. Then, a custom rotary pump actuated by one of the robot's motors generates enough microfluidic lift to hydrodynamically pick and place µDTs with a pipette at a safe distance from the substrate without requiring a proximity sensor. The platform's simple, integrated construction is cost-effective and compact, allowing placement inside a tissue culture hood for sterile workflows. The platform enables users to select µDTs based on their size, place them in user-programmed arrays, such as multi-well plates, and control various robot motion parameters. As a case application, we use the robotic system to conduct semi-automated drug testing of mouse and human µDTs in 384-well plates. Our user-friendly platform promises to democratize microscale tissue research to clinical and biological laboratories worldwide.
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40
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Guo L, Li C, Gong W. Toward reproducible tumor organoid culture: focusing on primary liver cancer. Front Immunol 2024; 15:1290504. [PMID: 38571961 PMCID: PMC10987700 DOI: 10.3389/fimmu.2024.1290504] [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: 09/07/2023] [Accepted: 02/29/2024] [Indexed: 04/05/2024] Open
Abstract
Organoids present substantial potential for pushing forward preclinical research and personalized medicine by accurately recapitulating tissue and tumor heterogeneity in vitro. However, the lack of standardized protocols for cancer organoid culture has hindered reproducibility. This paper comprehensively reviews the current challenges associated with cancer organoid culture and highlights recent multidisciplinary advancements in the field with a specific focus on standardizing liver cancer organoid culture. We discuss the non-standardized aspects, including tissue sources, processing techniques, medium formulations, and matrix materials, that contribute to technical variability. Furthermore, we emphasize the need to establish reproducible platforms that accurately preserve the genetic, proteomic, morphological, and pharmacotypic features of the parent tumor. At the end of each section, our focus shifts to organoid culture standardization in primary liver cancer. By addressing these challenges, we can enhance the reproducibility and clinical translation of cancer organoid systems, enabling their potential applications in precision medicine, drug screening, and preclinical research.
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Affiliation(s)
| | | | - Weiqiang Gong
- Department of Hepatobiliary and Pancreatic Surgery, Weifang People’s Hospital, Weifang, Shandong, China
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41
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Wang Y, Buck A, Piel B, Zerefa L, Murugan N, Coherd CD, Miklosi AG, Johal H, Bastos RN, Huang K, Ficial M, Laimon YN, Signoretti S, Zhong Z, Hoang SM, Kastrunes GM, Grimaud M, Fayed A, Yuan HC, Nguyen QD, Thai T, Ivanova EV, Paweletz CP, Wu MR, Choueiri TK, Wee JO, Freeman GJ, Barbie DA, Marasco WA. Affinity fine-tuning anti-CAIX CAR-T cells mitigate on-target off-tumor side effects. Mol Cancer 2024; 23:56. [PMID: 38491381 PMCID: PMC10943873 DOI: 10.1186/s12943-024-01952-w] [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: 10/23/2023] [Accepted: 01/31/2024] [Indexed: 03/18/2024] Open
Abstract
One of the major hurdles that has hindered the success of chimeric antigen receptor (CAR) T cell therapies against solid tumors is on-target off-tumor (OTOT) toxicity due to sharing of the same epitopes on normal tissues. To elevate the safety profile of CAR-T cells, an affinity/avidity fine-tuned CAR was designed enabling CAR-T cell activation only in the presence of a highly expressed tumor associated antigen (TAA) but not when recognizing the same antigen at a physiological level on healthy cells. Using direct stochastic optical reconstruction microscopy (dSTORM) which provides single-molecule resolution, and flow cytometry, we identified high carbonic anhydrase IX (CAIX) density on clear cell renal cell carcinoma (ccRCC) patient samples and low-density expression on healthy bile duct tissues. A Tet-On doxycycline-inducible CAIX expressing cell line was established to mimic various CAIX densities, providing coverage from CAIX-high skrc-59 tumor cells to CAIX-low MMNK-1 cholangiocytes. Assessing the killing of CAR-T cells, we demonstrated that low-affinity/high-avidity fine-tuned G9 CAR-T has a wider therapeutic window compared to high-affinity/high-avidity G250 that was used in the first anti-CAIX CAR-T clinical trial but displayed serious OTOT effects. To assess the therapeutic effect of G9 on patient samples, we generated ccRCC patient derived organotypic tumor spheroid (PDOTS) ex vivo cultures and demonstrated that G9 CAR-T cells exhibited superior efficacy, migration and cytokine release in these miniature tumors. Moreover, in an RCC orthotopic mouse model, G9 CAR-T cells showed enhanced tumor control compared to G250. In summary, G9 has successfully mitigated OTOT side effects and in doing so has made CAIX a druggable immunotherapeutic target.
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Affiliation(s)
- Yufei Wang
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Alicia Buck
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Brandon Piel
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Luann Zerefa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Nithyassree Murugan
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Christian D Coherd
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | | | | | | | - Kun Huang
- Molecular Imaging Core, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Miriam Ficial
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Yasmin Nabil Laimon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sabina Signoretti
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | | | | | - Gabriella M Kastrunes
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Marion Grimaud
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Atef Fayed
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Hsien-Chi Yuan
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Quang-De Nguyen
- Lurie Family Imaging Center, Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Tran Thai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Elena V Ivanova
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Belfer Center of Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Cloud P Paweletz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Belfer Center of Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Ming-Ru Wu
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Toni K Choueiri
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jon O Wee
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gordon J Freeman
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - David A Barbie
- Harvard Medical School, Boston, MA, 02115, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Belfer Center of Applied Cancer Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Wayne A Marasco
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
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Yang H, Chen D, Zhang Y, Yuan P, Xie N, Dai Z. MiRNA and mRNA-Controlled Double-Cascaded Amplifying Circuit Nanosensor for Accurate Discrimination of Breast Cancers in Living Cells, Animals, and Organoids. Anal Chem 2024; 96:4154-4162. [PMID: 38426698 DOI: 10.1021/acs.analchem.3c05085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Metastasis is the leading cause of death in patients with breast cancer. Detecting high-risk breast cancer, including micrometastasis, at an early stage is vital for customizing the right and efficient therapies. In this study, we propose an enzyme-free isothermal cascade amplification-based DNA logic circuit in situ biomineralization nanosensor, HDNAzyme@ZIF-8, for simultaneous imaging of multidimensional biomarkers in live cells. Taking miR-21 and Ki-67 mRNA as the dual detection targets achieved sensitive logic operations and molecular recognition through the cascade hybridization chain reaction and DNAzyme. The HDNAzyme@ZIF-8 nanosensor has the ability to accurately differentiate breast cancer cells and their subtypes by comparing their relative fluorescence intensities. Of note, our nanosensor can also achieve visualization within breast cancer organoids, faithfully recapitulating the functional characteristics of parental tumor. Overall, the combination of these techniques offers a universal strategy for detecting cancers with high sensitivity and holds vast potential in clinical cancer diagnosis.
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Affiliation(s)
- Huihui Yang
- Biobank, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen 518035, China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, China
| | - Dong Chen
- Department of Thyroid and Breast Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Yanfei Zhang
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
| | - Peixiu Yuan
- College of Materials and Energy, South China Agricultural University, Guangzhou 510642, China
| | - Ni Xie
- Biobank, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen 518035, China
| | - Zong Dai
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China
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Jose A, Kulkarni P, Thilakan J, Munisamy M, Malhotra AG, Singh J, Kumar A, Rangnekar VM, Arya N, Rao M. Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery and precision medicine. Mol Cancer 2024; 23:50. [PMID: 38461268 PMCID: PMC10924370 DOI: 10.1186/s12943-023-01916-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 12/15/2023] [Indexed: 03/11/2024] Open
Abstract
Despite advancements in treatment protocols, cancer is one of the leading cause of deaths worldwide. Therefore, there is a need to identify newer and personalized therapeutic targets along with screening technologies to combat cancer. With the advent of pan-omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, and lipidomics, the scientific community has witnessed an improved molecular and metabolomic understanding of various diseases, including cancer. In addition, three-dimensional (3-D) disease models have been efficiently utilized for understanding disease pathophysiology and as screening tools in drug discovery. An integrated approach utilizing pan-omics technologies and 3-D in vitro tumor models has led to improved understanding of the intricate network encompassing various signalling pathways and molecular cross-talk in solid tumors. In the present review, we underscore the current trends in omics technologies and highlight their role in understanding genotypic-phenotypic co-relation in cancer with respect to 3-D in vitro tumor models. We further discuss the challenges associated with omics technologies and provide our outlook on the future applications of these technologies in drug discovery and precision medicine for improved management of cancer.
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Affiliation(s)
- Anmi Jose
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India
| | - Pallavi Kulkarni
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Jaya Thilakan
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Murali Munisamy
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Anvita Gupta Malhotra
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Jitendra Singh
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Ashok Kumar
- Department of Biochemistry, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India
| | - Vivek M Rangnekar
- Markey Cancer Center and Department of Radiation Medicine, University of Kentucky, Lexington, KY, 40536, USA
| | - Neha Arya
- Department of Translational Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, 462020, India.
| | - Mahadev Rao
- Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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Liu YC, Chen P, Chang R, Liu X, Jhang JW, Enkhbat M, Chen S, Wang H, Deng C, Wang PY. Artificial tumor matrices and bioengineered tools for tumoroid generation. Biofabrication 2024; 16:022004. [PMID: 38306665 DOI: 10.1088/1758-5090/ad2534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 02/01/2024] [Indexed: 02/04/2024]
Abstract
The tumor microenvironment (TME) is critical for tumor growth and metastasis. The TME contains cancer-associated cells, tumor matrix, and tumor secretory factors. The fabrication of artificial tumors, so-called tumoroids, is of great significance for the understanding of tumorigenesis and clinical cancer therapy. The assembly of multiple tumor cells and matrix components through interdisciplinary techniques is necessary for the preparation of various tumoroids. This article discusses current methods for constructing tumoroids (tumor tissue slices and tumor cell co-culture) for pre-clinical use. This article focuses on the artificial matrix materials (natural and synthetic materials) and biofabrication techniques (cell assembly, bioengineered tools, bioprinting, and microfluidic devices) used in tumoroids. This article also points out the shortcomings of current tumoroids and potential solutions. This article aims to promotes the next-generation tumoroids and the potential of them in basic research and clinical application.
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Affiliation(s)
- Yung-Chiang Liu
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang 325024, People's Republic of China
| | - Ping Chen
- Cancer Centre, Faculty of Health Sciences, MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR 999078, People's Republic of China
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, People's Republic of China
| | - Ray Chang
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang 325024, People's Republic of China
| | - Xingjian Liu
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang 325024, People's Republic of China
| | - Jhe-Wei Jhang
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang 325024, People's Republic of China
| | - Myagmartsend Enkhbat
- Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
| | - Shan Chen
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang 325024, People's Republic of China
| | - Hongxia Wang
- State Key Laboratory of Oncogenes and Related Genes, Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Chuxia Deng
- Cancer Centre, Faculty of Health Sciences, MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR 999078, People's Republic of China
| | - Peng-Yuan Wang
- Oujiang Laboratory; Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang 325024, People's Republic of China
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45
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Ning RX, Liu CY, Wang SQ, Li WK, Kong X, He ZW. Application status and optimization suggestions of tumor organoids and CAR-T cell co-culture models. Cancer Cell Int 2024; 24:98. [PMID: 38443969 PMCID: PMC10916304 DOI: 10.1186/s12935-024-03272-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/14/2024] [Indexed: 03/07/2024] Open
Abstract
Tumor organoids, especially patient-derived organoids (PDOs) exhibit marked similarities in histopathological morphology, genomic alterations, and specific marker expression profiles to those of primary tumour tissues. They are applied in various fields including drug screening, gene editing, and identification of oncogenes. However, CAR-T therapy in the treatment of solid tumours is still at an exploratory stage. Tumour organoids offer unique advantages over other preclinical models commonly used for CAR-T therapy research, which the preservation of the biological characteristics of primary tumour tissue is critical for the study of early-stage solid tumour CAR-T therapies. Although some investigators have used this co-culture model to validate newly targeted CAR-T cells, optimise existing CAR-T cells and explore combination therapy strategies, there is still untapped potential in the co-culture models used today. This review introduces the current status of the application of tumour organoid and CAR-T cell co-culture models in recent years and commented on the limitations of the current co-cultivation model. Meanwhile, we compared the tumour organoid model with two pre-clinical models commonly used in CAR-T therapy research. Eventually, combined with the new progress of organoid technologies, optimization suggestions were proposed for the co-culture model from five perspectives: preserving or reconstructing the tumor microenvironment, systematization, vascularization, standardized culture procedures, and expanding the tumor organoids resource library, aimed at assisting related researchers to better utilize co-culture models.
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Affiliation(s)
- Rong-Xuan Ning
- The First Dongguan Affiliated Hospital, Guangdong Medical University, No. 42 Jiaoping Road, Tangxia Town, Dongguan, 523710, Guangdong Province, China
- China-America Cancer Research Institute, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China
| | - Cun-Yu Liu
- China-America Cancer Research Institute, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China
| | - Shi-Qi Wang
- China-America Cancer Research Institute, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China
| | - Wen-Kai Li
- China-America Cancer Research Institute, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China
| | - Xia Kong
- China-America Cancer Research Institute, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China.
- School of Basic Medicine, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China.
| | - Zhi-Wei He
- The First Dongguan Affiliated Hospital, Guangdong Medical University, No. 42 Jiaoping Road, Tangxia Town, Dongguan, 523710, Guangdong Province, China.
- China-America Cancer Research Institute, Guangdong Medical University, Dongguan, 523808, Guangdong Province, China.
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Ma X, Wang Q, Li G, Li H, Xu S, Pang D. Cancer organoids: A platform in basic and translational research. Genes Dis 2024; 11:614-632. [PMID: 37692477 PMCID: PMC10491878 DOI: 10.1016/j.gendis.2023.02.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 02/16/2023] [Indexed: 09/12/2023] Open
Abstract
An accumulation of previous work has established organoids as good preclinical models of human tumors, facilitating translation from basic research to clinical practice. They are changing the paradigm of preclinical cancer research because they can recapitulate the heterogeneity and pathophysiology of human cancers and more closely approximate the complex tissue environment and structure found in clinical tumors than in vitro cell lines and animal models. However, the potential applications of cancer organoids remain to be comprehensively summarized. In the review, we firstly describe what is currently known about cancer organoid culture and then discuss in depth the basic mechanisms, including tumorigenesis and tumor metastasis, and describe recent advances in patient-derived tumor organoids (PDOs) for drug screening and immunological studies. Finally, the present challenges faced by organoid technology in clinical practice and its prospects are discussed. This review highlights that organoids may offer a novel therapeutic strategy for cancer research.
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Affiliation(s)
- Xin Ma
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
| | - Qin Wang
- Sino-Russian Medical Research Center, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang 150086, China
- Department of Pharmacology (The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China), College of Pharmacy of Harbin Medical University, Harbin, Heilongjiang 150086, China
| | - Guozheng Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
| | - Hui Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
| | - Shouping Xu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang 150086, China
| | - Da Pang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Sino-Russian Medical Research Center, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China
- Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang 150086, China
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Ji L, Fu G, Huang M, Kao X, Zhu J, Dai Z, Chen Y, Li H, Zhou J, Chu X, Lei Z. scRNA-seq of colorectal cancer shows regional immune atlas with the function of CD20 + B cells. Cancer Lett 2024; 584:216664. [PMID: 38253219 DOI: 10.1016/j.canlet.2024.216664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/25/2023] [Accepted: 01/18/2024] [Indexed: 01/24/2024]
Abstract
Colorectal cancer (CRC) from different regions exhibits different histological, genetic characteristics, and molecular subtypes, even in response to conventional chemotherapies and immunotherapies. To characterize the immune landscape in different regions of CRC and search for potential therapeutic targets, we analyzed 39,484 single-cell transcription data from 19 samples of CRC and paired normal tissues from four regions to identify the immune characteristics of CRC among anatomic locations, especially in B cells. We discovered that immune cell infiltration in tumors significantly varied among different regions of CRC. B cells from right- and left-sided CRC had different development trajectories, but both had extensive interactions with myeloid cells and T cells. Survival analysis suggested that CD20+ B cells correlated with good prognosis in CRC patients, especially on the right side. Furthermore, the depletion of CD20+ B cells demonstrated that anti-CD20 promoted tumor growth progression and reversed the tumor-killing activity of anti-PD-1 treatment in vivo and in vitro. Our results highlight the characterization of the immune landscape of CRC in different regions. CD20+ B-cell infiltration has been associated with CRC patient prognosis and may promote the tumor-killing role of PD-1 antibodies.
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Affiliation(s)
- Linlin Ji
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China
| | - Gongbo Fu
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
| | - Mengxi Huang
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China
| | - Xiaoming Kao
- Department of General Surgery, Jinling Hospital, Nanjing Medical University, Nanjing, 210002, China
| | - Jialong Zhu
- Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China
| | - Zhe Dai
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China
| | - Yitian Chen
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China
| | - Huiyu Li
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China
| | - Jie Zhou
- Department of Oncology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
| | - Xiaoyuan Chu
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
| | - Zengjie Lei
- Department of Medical Oncology, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, Nanjing Medical University, Nanjing, 210000, China; Department of Medical Oncology, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, 210000, China.
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Liang S, Zheng R, Zuo B, Li J, Wang Y, Han Y, Dong H, Zhao X, Zhang Y, Wang P, Meng R, Jia L, Yang A, Yan B. SMAD7 expression in CAR-T cells improves persistence and safety for solid tumors. Cell Mol Immunol 2024; 21:213-226. [PMID: 38177245 PMCID: PMC10901810 DOI: 10.1038/s41423-023-01120-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 12/03/2023] [Indexed: 01/06/2024] Open
Abstract
Despite the tremendous progress of chimeric antigen receptor T (CAR-T) cell therapy in hematological malignancies, their application in solid tumors has been limited largely due to T-cell exhaustion in the tumor microenvironment (TME) and systemic toxicity caused by excessive cytokine release. As a key regulator of the immunosuppressive TME, TGF-β promotes cytokine synthesis via the NF-κB pathway. Here, we coexpressed SMAD7, a suppressor of TGF-β signaling, with a HER2-targeted CAR in engineered T cells. These novel CAR-T cells displayed high cytolytic efficacy and were resistant to TGF-β-triggered exhaustion, which enabled sustained tumoricidal capacity after continuous antigen exposure. Moreover, SMAD7 substantially reduced the production of inflammatory cytokines by antigen-primed CAR-T cells. Mechanistically, SMAD7 downregulated TGF-β receptor I and abrogated the interplay between the TGF-β and NF-κB pathways in CAR-T cells. As a result, these CAR-T cells persistently inhibited tumor growth and promoted the survival of tumor-challenged mice regardless of the hostile tumor microenvironment caused by a high concentration of TGF-β. SMAD7 coexpression also enhanced CAR-T-cell infiltration and persistent activation in patient-derived tumor organoids. Therefore, our study demonstrated the feasibility of SMAD7 coexpression as a novel approach to improve the efficacy and safety of CAR-T-cell therapy for solid tumors.
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Affiliation(s)
- Sixin Liang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- School of Medicine Technology, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Rui Zheng
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Baile Zuo
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- School of Medicine Technology, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Jia Li
- Department of Obstetrics and Gynecology, Xijing Hospital of Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yiyi Wang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yujie Han
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- School of Medicine Technology, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Hao Dong
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- School of Medicine Technology, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Xiaojuan Zhao
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Yiting Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Pengju Wang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
| | - Ruotong Meng
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China
- College of Life Science, Yan'an University, Yan'an, Shaanxi, 716000, China
| | - Lintao Jia
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Angang Yang
- Department of Immunology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
| | - Bo Yan
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Department of Biochemistry and Molecular Biology, Fourth Military Medical University, Xi'an, Shaanxi, 710032, China.
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Liu T, Li X, Li H, Qin J, Xu H, Wen J, He Y, Zhang C. Intestinal organoid modeling: bridging the gap from experimental model to clinical translation. Front Oncol 2024; 14:1334631. [PMID: 38496762 PMCID: PMC10941338 DOI: 10.3389/fonc.2024.1334631] [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: 11/07/2023] [Accepted: 02/02/2024] [Indexed: 03/19/2024] Open
Abstract
The 3D culture of intestinal organoids entails embedding isolated intestinal crypts and bone marrow mesenchymal stem cells within a growth factor-enriched matrix gel. This process leads to the formation of hollow microspheres with structures resembling intestinal epithelial cells, which are referred to as intestinal organoids. These structures encompass various functional epithelial cell types found in the small intestine and closely mimic the organizational patterns of the small intestine, earning them the name "mini-intestines". Intestinal tumors are prevalent within the digestive system and represent a significant menace to human health. Through the application of 3D culture technology, miniature colorectal organs can be cultivated to retain the genetic characteristics of the primary tumor. This innovation offers novel prospects for individualized treatments among patients with intestinal tumors. Presently established libraries of patient-derived organoids serve as potent tools for conducting comprehensive investigations into tissue functionality, developmental processes, tumorigenesis, and the pathobiology of cancer. This review explores the origins of intestinal organoids, their culturing environments, and their advancements in the realm of precision medicine. It also addresses the current challenges and outlines future prospects for development.
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Affiliation(s)
- Taotao Liu
- School of Clinical Medicine, Ningxia Medical University, Yin Chuan, Ningxia, China
- Department of Gastrointestinal Surgery, Affiliated Hospital of Ningxia Medical University, Yin Chuan, Ningxia, China
| | - Xiaoqi Li
- School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong, China
| | - Hao Li
- School of Clinical Medicine, Ningxia Medical University, Yin Chuan, Ningxia, China
- Department of Gastrointestinal Surgery, Affiliated Hospital of Ningxia Medical University, Yin Chuan, Ningxia, China
| | - Jingjing Qin
- School of Clinical Medicine, Ningxia Medical University, Yin Chuan, Ningxia, China
- Department of Gastrointestinal Surgery, Affiliated Hospital of Ningxia Medical University, Yin Chuan, Ningxia, China
| | - Hui Xu
- Department of Anesthesiology and Surgery, Gansu Provincial People's Hospital, Lan Zhou, Gansu, China
| | - Jun Wen
- School of Clinical Medicine, Ningxia Medical University, Yin Chuan, Ningxia, China
- Department of Gastrointestinal Surgery, Affiliated Hospital of Ningxia Medical University, Yin Chuan, Ningxia, China
| | - Yaqin He
- School of Clinical Medicine, Ningxia Medical University, Yin Chuan, Ningxia, China
| | - Cao Zhang
- Department of Gastrointestinal Surgery, Affiliated Hospital of Ningxia Medical University, Yin Chuan, Ningxia, China
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Song SS, Park HJ, Kim YK, Kang SW. Revolutionizing biomedical research: The imperative need for heart-kidney-connected organoids. APL Bioeng 2024; 8:010902. [PMID: 38420624 PMCID: PMC10901547 DOI: 10.1063/5.0190840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024] Open
Abstract
Organoids significantly advanced our comprehension of organ development, function, and disease modeling. This Perspective underscores the potential of heart-kidney-connected organoids in understanding the intricate relationship between these vital organs, notably the cardiorenal syndrome, where dysfunction in one organ can negatively impact the other. Conventional models fall short in replicating this complexity, necessitating an integrated approach. By co-culturing heart and kidney organoids, combined with microfluidic and 3D bioprinting technologies, a more accurate representation of in vivo conditions can be achieved. Such interconnected systems could revolutionize our grasp of multi-organ diseases, drive drug discovery by evaluating therapeutic agents on both organs simultaneously, and reduce the need for animal models. In essence, heart-kidney-connected organoids present a promising avenue to delve deeper into the pathophysiology underlying cardiorenal disorders, bridging existing knowledge gaps, and advancing biomedical research.
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