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Ge K, Ren Y, Hong Z, Mao Z, Yao B, Ye K, Jia C. Microchip Based Isolation and Drug Delivery of Patient-Derived Extracellular Vesicles Against Their Homologous Tumor. Adv Healthc Mater 2024:e2401990. [PMID: 39221674 DOI: 10.1002/adhm.202401990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/19/2024] [Indexed: 09/04/2024]
Abstract
Extracellular vesicles (EVs) have demonstrated significant potential in drug delivery and anti-tumor therapy. Despite this promising strategy, challenges such as specific targeting, EVs purification persist. In this study, a personalized nanodrug delivery platform using patient-derived tumor EVs (PT-EVs) based on a microchip is presented. The microchip integrates multiple functions, including capture, enrichment, drug loading, and elution of PT-EVs. The isolation and drug-carrying procedures are completed within a 12 h timeframe, achieving a recovery rate of 65%, significantly surpassing the conventional ultracentrifuge (UC) method. Furthermore, PT-EVs derived from patient tumor models are first utilized as natural drug carriers, capitalizing on their inherent homing ability to precisely target homologous tumors. Lenvatinib and doxorubicin (DOX), two commonly utilized drugs in the clinical treatment of hepatocellular carcinoma (HCC), are loaded into PT-EVs and delivered to a matched in vitro tumor model that recapitulates original tumors for drug susceptibility testing. As is proven, PT-EVs exhibit robust tumor cell targeting and efficient receptor-mediated cellular uptake, and the efficacy of chemotherapeutic drugs is improved significantly. These results suggest that this platform could be a valuable tool for efficient isolation of PT-EVs and personalized drug customization, particularly when working with limited clinical samples, thus supporting personalized and precision medicine.
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Affiliation(s)
- Ke Ge
- Department of Hepatopancreatobiliary Surgery, Hangzhou First People's Hospital Affiliated to Medical School of Westlake University, Hangzhou, 310006, China
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Yongan Ren
- Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Zichen Hong
- Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Zhenjun Mao
- Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Bo Yao
- Department of Chemistry, Zhejiang University, Hangzhou, 310058, China
| | - Kai Ye
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Changku Jia
- Department of Hepatopancreatobiliary Surgery, Hangzhou First People's Hospital Affiliated to Medical School of Westlake University, Hangzhou, 310006, China
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2
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Su YD, Ma R, Fu YB, Wu HL, Liang XL, Liu YT, Yu Y, Yang ZR, Li Y. Drug sensitivity tumor cell clusters in malignant peritoneal mesothelioma. J Surg Oncol 2024. [PMID: 39183488 DOI: 10.1002/jso.27847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 08/14/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND To explore the most effective adjuvant chemotherapy regimen for malignant peritoneal mesothelioma (MPM) through patient derived tumor-like cell clusters (PTC) drug sensitivity test. METHODS PTC were cultured in vitro with intraoperative specimens, and drug sensitivity test was performed to calculate the most effective chemotherapy regimen for MPM. The patients were divided into conventional and individualized chemotherapy group according to whether they received PTC drug testing. Univariate and multivariate analyses were conducted to identify independent prognostic factors. RESULTS Among 186 MPM patients included, 63 underwent PTC culture and drug sensitivity test. The results showed that the most effective chemotherapy regimen was oxaliplatin + gemcitabine. After propensity score matching, a total of 64 patients were enrolled in the following study, including 32 patients receiving individualized chemotherapy guided by PTC drug results as group 1 and 32 patients receiving conventional chemotherapy as group 2. Survival analysis showed that the median OS of group 1 was not reached, significantly longer than that of group 2 (23.5 months) (p < 0.05). CONCLUSIONS Compared with conventional chemotherapy, individualized chemotherapy guided by PTC drug sensitivity tests can prolong patient survival, and oxaliplatin + gemcitabine + apatinib could be the optimal adjuvant treatment regimen for MPM.
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Affiliation(s)
- Yan-Dong Su
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ru Ma
- Department of Surgical Oncology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yu-Bin Fu
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - He-Liang Wu
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Xin-Li Liang
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yi-Tong Liu
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yang Yu
- Department of Surgical Oncology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Zhi-Ran Yang
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yan Li
- Department of Peritoneal Cancer Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Surgical Oncology, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
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3
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Li X, Lu Y, Zhao J, Yu Y, Tian H, Zhu H, Li W, Xia Y, Chen L. Savolitinib conferred sensitivity in a patient with D1228H mutation-induced capmatinib-resistant MET exon 14 skipping mutated lung adenocarcinoma. J Cancer Res Clin Oncol 2024; 150:395. [PMID: 39180576 PMCID: PMC11344724 DOI: 10.1007/s00432-024-05920-1] [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: 07/02/2024] [Accepted: 08/11/2024] [Indexed: 08/26/2024]
Abstract
Traditionally, the D1228 E/G/H/N mutation has been thought to cause Type I MET-TKI resistance. We reported a 75-year-old female with non-small cell lung cancer harboring MET exon 14 skipping mutation, who developed acquired MET D1228H mutation induced by capmatinib treatment. Interestingly, the patient demonstrated marked response to second-line savolitinib treatment with the duration of response of 19 months and several additional metastatic lesions appeared. Pathological assessment of rebiopsy sample showed adenocarcinoma and targeted next-generation sequencing revealed the loss of MET D1228H mutation and presence of MET p.Y1230N mutation. In response, the treatment regimen was amended to include a daily administration of 60 mg of cabozantinib, which resulted in moderate size reduction of the tumours. The switch of resistance mutations indicated that different type Ib MET inhibitors may exhibit distinct mechanisms of resistance. We call for futher studies on resistance based on patient-derived pre-clinical models including patient-derived tumor-like cell clusters, patient-derived organoids, and patient-derived xenografts.
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Affiliation(s)
- Xiuzhen Li
- Department of Pathology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Yuefei Lu
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Jie Zhao
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Yinghui Yu
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Heshen Tian
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Hao Zhu
- Department of Respiratory and Critical Care Medicine, Wuyi First People's Hospital, Jinhua, 321200, Zhejiang, China
| | - Wen Li
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Yang Xia
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
- Cancer Center, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
| | - Laijuan Chen
- Department of Endoscopic Center, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
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Xu X, Gao Y, Dai J, Wang Q, Wang Z, Liang W, Zhang Q, Ma W, Liu Z, Luo H, Qiao Z, Li L, Wang Z, Chen L, Zhang Y, Xiong Z. Gastric Cancer Assembloids Derived from Patient-Derived Xenografts: A Preclinical Model for Therapeutic Drug Screening. SMALL METHODS 2024:e2400204. [PMID: 38948952 DOI: 10.1002/smtd.202400204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/18/2024] [Indexed: 07/02/2024]
Abstract
The construction of reliable preclinical models is crucial for understanding the molecular mechanisms involved in gastric cancer and for advancing precision medicine. Currently, existing in vitro tumor models often do not accurately replicate the human gastric cancer environment and are unsuitable for high-throughput therapeutic drug screening. In this study, droplet microfluidic technology is employed to create novel gastric cancer assembloids by encapsulating patient-derived xenograft gastric cancer cells and patient stromal cells in Gelatin methacryloyl (GelMA)-Gelatin-Matrigel microgels. The usage of GelMA-Gelatin-Matrigel composite hydrogel effectively alleviated cell aggregation and sedimentation during the assembly process, allowing for the handling of large volumes of cell-laden hydrogel and the uniform generation of assembloids in a high-throughput manner. Notably, the patient-derived xenograft assembloids exhibited high consistency with primary tumors at both transcriptomic and histological levels, and can be efficiently scaled up for preclinical drug screening efforts. Furthermore, the drug screening results clearly demonstrated that the in vitro assembloid model closely mirrored in vivo drug responses. Thus, these findings suggest that gastric cancer assembloids, which effectively replicate the in vivo tumor microenvironment, show promise for enabling more precise high-throughput drug screening and predicting the clinical outcomes of various drugs.
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Affiliation(s)
- Xinxin Xu
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Medical School of Chinese PLA, Beijing, 100853, China
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yunhe Gao
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, 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
| | - Zixuan Wang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
| | - Wenquan Liang
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Qing Zhang
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Wenbo Ma
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Zibo Liu
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
| | - Hao Luo
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
| | - Zhi Qiao
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Li Li
- Medical School of Chinese PLA, Beijing, 100853, China
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zijian Wang
- Medical School of Chinese PLA, Beijing, 100853, China
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Lin Chen
- Senior Department of General Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yanmei Zhang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Zhuo Xiong
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
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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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Zou J, Chen Q, He Y, Pan Y, Zhao H, Shi J, Wei Z, Yu S, Zhao Y, Han X, Lu Y, Chen W. Systematic optimization and evaluation of culture conditions for the construction of circulating tumor cell clusters using breast cancer cell lines. BMC Cancer 2024; 24:507. [PMID: 38654231 PMCID: PMC11036701 DOI: 10.1186/s12885-024-12214-9] [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: 01/08/2024] [Accepted: 04/02/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Circulating tumor cell (CTC) clusters play a critical role in carcinoma metastasis. However, the rarity of CTC clusters and the limitations of capture techniques have retarded the research progress. In vitro CTC clusters model can help to further understand the biological properties of CTC clusters and their clinical significance. Therefore, it is necessary to establish reliable in vitro methodological models to form CTC clusters whose biological characteristics are very similar to clinical CTC clusters. METHODS The assays of immunofluorescence, transmission electron microscopy, EdU incorporation, cell adhension and microfluidic chips were used. The experimental metastasis model in mice was used. RESULTS We systematically optimized the culture methods to form in vitro CTC clusters model, and more importantly, evaluated it with reference to the biological capabilities of reported clinical CTC clusters. In vitro CTC clusters exhibited a high degree of similarity to the reported pathological characteristics of CTC clusters isolated from patients at different stages of tumor metastasis, including the appearance morphology, size, adhesive and tight junctions-associated proteins, and other indicators of CTC clusters. Furthermore, in vivo experiments also demonstrated that the CTC clusters had an enhanced ability to grow and metastasize compared to single CTC. CONCLUSIONS The study provides a reliable model to help to obtain comparatively stable and qualified CTC clusters in vitro, propelling the studies on tumor metastasis.
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Affiliation(s)
- Jueyao Zou
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Qiong Chen
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Yong He
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Yanhong Pan
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Han Zhao
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Junfeng Shi
- Department of Oncology, Nanjing First Hospital of Nanjing Medical University, Nanjing, China
| | - Zhonghong Wei
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Suyun Yu
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Yang Zhao
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China
| | - Xin Han
- Department of Biochemistry and Molecular Biology, School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing, China
| | - Yin Lu
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China.
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China.
| | - Wenxing Chen
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine (TCM) Prevention and Treatment of Tumor, Nanjing, China.
- Jiangsu Joint International Research Laboratory of Chinese Medicine and Regenerative Medicine, Nanjing, China.
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7
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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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8
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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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9
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Ko J, Hyung S, Heo YJ, Jung S, Kim ST, Park SH, Hong JY, Lim SH, Kim KM, Yoo S, Jeon NL, Lee J. Patient-derived tumor spheroid-induced angiogenesis preclinical platform for exploring therapeutic vulnerabilities in cancer. Biomaterials 2024; 306:122504. [PMID: 38377848 DOI: 10.1016/j.biomaterials.2024.122504] [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: 11/08/2023] [Revised: 01/25/2024] [Accepted: 02/07/2024] [Indexed: 02/22/2024]
Abstract
This study addresses the demand for research models that can support patient-treatment decisions and clarify the complexities of a tumor microenvironment by developing an advanced non-animal preclinical cancer model. Based on patient-derived tumor spheroids (PDTS), the proposed model reconstructs the tumor microenvironment with emphasis on tumor spheroid-driven angiogenesis. The resulting microfluidic chip system mirrors angiogenic responses elicited by PDTS, recapitulating patient-specific tumor conditions and providing robust, easily quantifiable outcomes. Vascularized PDTS exhibited marked angiogenesis and tumor proliferation on the microfluidic chip. Furthermore, a drug that targets the vascular endothelial growth factor receptor 2 (VEGFR2, ramucirumab) was deployed, which effectively inhibited angiogenesis and impeded tumor invasion. This innovative preclinical model was used for investigating distinct responses for various drug combinations, encompassing HER2 inhibitors and angiogenesis inhibitors, within the context of PDTS. This integrated platform could potentially advance precision medicine by harmonizing diverse data points within the tumor microenvironment with a focus on the interplay between cancer and the vascular system.
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Affiliation(s)
- Jihoon Ko
- Department of BioNano Technology, Gachon University, Gyeonggi, 13120, Republic of Korea
| | - Sujin Hyung
- Precision Medicine Research Institute, Samsung Medical Center, Seoul, 06351, Republic of Korea; Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | | | - Sangmin Jung
- Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | - Se Hoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | - Jung Yong Hong
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | - Sung Hee Lim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
| | | | - Noo Li Jeon
- Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
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10
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Mao Y, Wang W, Yang J, Zhou X, Lu Y, Gao J, Wang X, Wen L, Fu W, Tang F. Drug repurposing screening and mechanism analysis based on human colorectal cancer organoids. Protein Cell 2024; 15:285-304. [PMID: 37345888 PMCID: PMC10984622 DOI: 10.1093/procel/pwad038] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 05/22/2023] [Indexed: 06/23/2023] Open
Abstract
Colorectal cancer (CRC) is a highly heterogeneous cancer and exploring novel therapeutic options is a pressing issue that needs to be addressed. Here, we established human CRC tumor-derived organoids that well represent both morphological and molecular heterogeneities of original tumors. To efficiently identify repurposed drugs for CRC, we developed a robust organoid-based drug screening system. By combining the repurposed drug library and computation-based drug prediction, 335 drugs were tested and 34 drugs with anti-CRC effects were identified. More importantly, we conducted a detailed transcriptome analysis of drug responses and divided the drug response signatures into five representative patterns: differentiation induction, growth inhibition, metabolism inhibition, immune response promotion, and cell cycle inhibition. The anticancer activities of drug candidates were further validated in the established patient-derived organoids-based xenograft (PDOX) system in vivo. We found that fedratinib, trametinib, and bortezomib exhibited effective anticancer effects. Furthermore, the concordance and discordance of drug response signatures between organoids in vitro and pairwise PDOX in vivo were evaluated. Our study offers an innovative approach for drug discovery, and the representative transcriptome features of drug responses provide valuable resources for developing novel clinical treatments for CRC.
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Affiliation(s)
- Yunuo Mao
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
- The Research Center of Stem Cell and Regenerative Medicine, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Wei Wang
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Jingwei Yang
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Xin Zhou
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Peking University Third Hospital Cancer Center, Beijing 100871, China
| | - Yongqu Lu
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Peking University Third Hospital Cancer Center, Beijing 100871, China
| | - Junpeng Gao
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Xiao Wang
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
| | - Lu Wen
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Wei Fu
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Peking University Third Hospital Cancer Center, Beijing 100871, China
| | - Fuchou Tang
- School of Life Sciences, Biomedical Pioneering Innovation Center, Department of General Surgery, Third Hospital, Peking University, Beijing 100871, China
- Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
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11
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Acanda De La Rocha AM, Berlow NE, Fader M, Coats ER, Saghira C, Espinal PS, Galano J, Khatib Z, Abdella H, Maher OM, Vorontsova Y, Andrade-Feraud CM, Daccache A, Jacome A, Reis V, Holcomb B, Ghurani Y, Rimblas L, Guilarte TR, Hu N, Salyakina D, Azzam DJ. Feasibility of functional precision medicine for guiding treatment of relapsed or refractory pediatric cancers. Nat Med 2024; 30:990-1000. [PMID: 38605166 PMCID: PMC11031400 DOI: 10.1038/s41591-024-02848-4] [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: 07/02/2023] [Accepted: 01/31/2024] [Indexed: 04/13/2024]
Abstract
Children with rare, relapsed or refractory cancers often face limited treatment options, and few predictive biomarkers are available that can enable personalized treatment recommendations. The implementation of functional precision medicine (FPM), which combines genomic profiling with drug sensitivity testing (DST) of patient-derived tumor cells, has potential to identify treatment options when standard-of-care is exhausted. The goal of this prospective observational study was to generate FPM data for pediatric patients with relapsed or refractory cancer. The primary objective was to determine the feasibility of returning FPM-based treatment recommendations in real time to the FPM tumor board (FPMTB) within a clinically actionable timeframe (<4 weeks). The secondary objective was to assess clinical outcomes from patients enrolled in the study. Twenty-five patients with relapsed or refractory solid and hematological cancers were enrolled; 21 patients underwent DST and 20 also completed genomic profiling. Median turnaround times for DST and genomics were within 10 days and 27 days, respectively. Treatment recommendations were made for 19 patients (76%), of whom 14 received therapeutic interventions. Six patients received subsequent FPM-guided treatments. Among these patients, five (83%) experienced a greater than 1.3-fold improvement in progression-free survival associated with their FPM-guided therapy relative to their previous therapy, and demonstrated a significant increase in progression-free survival and objective response rate compared to those of eight non-guided patients. The findings from our proof-of-principle study illustrate the potential for FPM to positively impact clinical care for pediatric and adolescent patients with relapsed or refractory cancers and warrant further validation in large prospective studies. ClinicalTrials.gov registration: NCT03860376 .
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Affiliation(s)
- Arlet M Acanda De La Rocha
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | | | - Maggie Fader
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Ebony R Coats
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Cima Saghira
- Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Paula S Espinal
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Jeanette Galano
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Ziad Khatib
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Haneen Abdella
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Ossama M Maher
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Yana Vorontsova
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Cristina M Andrade-Feraud
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Aimee Daccache
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Alexa Jacome
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Victoria Reis
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Baylee Holcomb
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Yasmin Ghurani
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Lilliam Rimblas
- Division of Pediatric Hematology Oncology, Department of Pediatrics, Nicklaus Children's Hospital, Miami, FL, USA
| | - Tomás R Guilarte
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Nan Hu
- Department of Biostatistics, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA
| | - Daria Salyakina
- Center for Precision Medicine, Nicklaus Children's Hospital, Miami, FL, USA
| | - Diana J Azzam
- Department of Environmental Health Sciences, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA.
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12
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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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13
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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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14
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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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15
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Zhao Z, Zhang S, Jiang N, Zhu W, Song D, Liu S, Yu W, Bai Y, Zhang Y, Wang X, Zhong X, Guo H, Guo Z, Yang R, Li JP. Patient-derived Immunocompetent Tumor Organoids: A Platform for Chemotherapy Evaluation in the Context of T-cell Recognition. Angew Chem Int Ed Engl 2024; 63:e202317613. [PMID: 38195970 DOI: 10.1002/anie.202317613] [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: 11/19/2023] [Revised: 01/02/2024] [Accepted: 01/09/2024] [Indexed: 01/11/2024]
Abstract
Most of the anticancer compounds synthesized by chemists are primarily evaluated for their direct cytotoxic effects at the cellular level, often overlooking the critical role of the immune system. In this study, we developed a patient-derived, T-cell-retaining tumor organoid model that allows us to evaluate the anticancer efficacy of chemical drugs under the synergistic paradigm of antigen-specific T-cell-dependent killing, which may reveal the missed drug hits in the simple cytotoxic assay. We evaluated clinically approved platinum (Pt) drugs and a custom library of twenty-eight PtIV compounds. We observed low direct cytotoxicity of Pt drugs, but variable synergistic effects in combination with immune checkpoint inhibitors (ICIs). In contrast, the majority of PtIV compounds exhibited potent tumor-killing capabilities. Interestingly, several PtIV compounds went beyond direct tumor killing and showed significant immunosynergistic effects with ICIs, outstanding at sub-micromolar concentrations. Among these, Pt-19, PtIV compounds with cinnamate axial ligands, emerged as the most therapeutically potent, demonstrating pronounced immunosynergistic effects by promoting the release of cytotoxic cytokines, activating immune-related pathways and enhancing T cell receptor (TCR) clonal expansion. Overall, this initiative marks the first use of patient-derived immunocompetent tumor organoids to explore and study chemotherapy, advancing their path toward more effective small molecule drug discovery.
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Affiliation(s)
- Zihan Zhao
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Shuren Zhang
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Ning Jiang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Wenjie Zhu
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Dongfan Song
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Siyang Liu
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Wenhao Yu
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Yuhao Bai
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Yulin Zhang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Xiaoyu Wang
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Xuanmeng Zhong
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Hongqian Guo
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Zijian Guo
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Rong Yang
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, 321 Zhongshan Rd, Nanjing, Jiangsu, 210008, China
| | - Jie P Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
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Ntafoulis I, Kleijn A, Ju J, Jimenez-Cowell K, Fabro F, Klein M, Chi Yen RT, Balvers RK, Li Y, Stubbs AP, Kers TV, Kros JM, Lawler SE, Beerepoot LV, Kremer A, Idbaih A, Verreault M, Byrne AT, O'Farrell AC, Connor K, Biswas A, Salvucci M, Prehn JHM, Lambrechts D, Dilcan G, Lodi F, Arijs I, van den Bent MJ, Dirven CMF, Leenstra S, Lamfers MLM. Ex vivo drug sensitivity screening predicts response to temozolomide in glioblastoma patients and identifies candidate biomarkers. Br J Cancer 2023; 129:1327-1338. [PMID: 37620410 PMCID: PMC10575865 DOI: 10.1038/s41416-023-02402-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: 12/08/2022] [Revised: 07/13/2023] [Accepted: 08/10/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Patient-derived glioma stem-like cells (GSCs) have become the gold-standard in neuro-oncological research; however, it remains to be established whether loss of in situ microenvironment affects the clinically-predictive value of this model. We implemented a GSC monolayer system to investigate in situ-in vitro molecular correspondence and the relationship between in vitro and patient response to temozolomide (TMZ). METHODS DNA/RNA-sequencing was performed on 56 glioblastoma tissues and 19 derived GSC cultures. Sensitivity to TMZ was screened across 66 GSC cultures. Viability readouts were related to clinical parameters of corresponding patients and whole-transcriptome data. RESULTS Tumour DNA and RNA sequences revealed strong similarity to corresponding GSCs despite loss of neuronal and immune interactions. In vitro TMZ screening yielded three response categories which significantly correlated with patient survival, therewith providing more specific prediction than the binary MGMT marker. Transcriptome analysis identified 121 genes related to TMZ sensitivity of which 21were validated in external datasets. CONCLUSION GSCs retain patient-unique hallmark gene expressions despite loss of their natural environment. Drug screening using GSCs predicted patient response to TMZ more specifically than MGMT status, while transcriptome analysis identified potential biomarkers for this response. GSC drug screening therefore provides a tool to improve drug development and precision medicine for glioblastoma.
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Affiliation(s)
- Ioannis Ntafoulis
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Anne Kleijn
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Jie Ju
- Department of Pathology & Clinical Bioinformatics, Erasmus MC, Rotterdam, Netherlands
| | - Kevin Jimenez-Cowell
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Federica Fabro
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Michelle Klein
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Romain Tching Chi Yen
- Information Technologies for Translational Medicine, Esch-Sur-Alzette, Luxembourg
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Rutger K Balvers
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Yunlei Li
- Department of Pathology & Clinical Bioinformatics, Erasmus MC, Rotterdam, Netherlands
| | - Andrew P Stubbs
- Department of Pathology & Clinical Bioinformatics, Erasmus MC, Rotterdam, Netherlands
| | - Trisha V Kers
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Johan M Kros
- Department of Pathology & Clinical Bioinformatics, Erasmus MC, Rotterdam, Netherlands
| | - Sean E Lawler
- Dept of Pathology and Laboratory Medicine, Legorreta Cancer Center, Brown University, Providence, RI, USA
| | - Laurens V Beerepoot
- Department of Internal Medicine, Elisabeth-Tweesteden Hospital, Tilburg, Netherlands
| | - Andreas Kremer
- Information Technologies for Translational Medicine, Esch-Sur-Alzette, Luxembourg
| | - Ahmed Idbaih
- DMU Neurosciences, Service de Neurologie 2-Mazarin, Sorbonne Université, Institut du Cerveau - Paris Brain Institute, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Maite Verreault
- Institut du Cerveau-Paris Brain Institute-ICM, Inserm, Sorbonne Université, CNRS, APHP, Hôpital de la Pitié Salpêtrière, Paris, France
| | - Annette T Byrne
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Alice C O'Farrell
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Kate Connor
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Archita Biswas
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Manuela Salvucci
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Jochen H M Prehn
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Diether Lambrechts
- Department of Human Genetics, Laboratory for Translational Genetics, KU Leuven, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Gonca Dilcan
- Department of Human Genetics, Laboratory for Translational Genetics, KU Leuven, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Francesca Lodi
- Department of Human Genetics, Laboratory for Translational Genetics, KU Leuven, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Ingrid Arijs
- Department of Human Genetics, Laboratory for Translational Genetics, KU Leuven, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Clemens M F Dirven
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Sieger Leenstra
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands
| | - Martine L M Lamfers
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC Cancer Institute, Erasmus MC, Rotterdam, Netherlands.
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Huang K, Li Q, Xue Y, Wang Q, Chen Z, Gu Z. Application of colloidal photonic crystals in study of organoids. Adv Drug Deliv Rev 2023; 201:115075. [PMID: 37625595 DOI: 10.1016/j.addr.2023.115075] [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: 12/11/2022] [Revised: 07/09/2023] [Accepted: 08/20/2023] [Indexed: 08/27/2023]
Abstract
As alternative disease models, other than 2D cell lines and patient-derived xenografts, organoids have preferable in vivo physiological relevance. However, both endogenous and exogenous limitations impede the development and clinical translation of these organoids. Fortunately, colloidal photonic crystals (PCs), which benefit from favorable biocompatibility, brilliant optical manipulation, and facile chemical decoration, have been applied to the engineering of organoids and have achieved the desirable recapitulation of the ECM niche, well-defined geometrical onsets for initial culture, in situ multiphysiological parameter monitoring, single-cell biomechanical sensing, and high-throughput drug screening with versatile functional readouts. Herein, we review the latest progress in engineering organoids fabricated from colloidal PCs and provide inputs for future research.
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Affiliation(s)
- Kai Huang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Qiwei Li
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yufei Xue
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Qiong Wang
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Zaozao Chen
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; Institute of Biomaterials and Medical Devices, Southeast University, Suzhou, Jiangsu 215163, China.
| | - Zhongze Gu
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
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18
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Rosell R, Pedraz-Valdunciel C. Lung Cancer Organoids as Avatars of Patients With Lung Cancer in the Prediction of Therapeutic Response. JTO Clin Res Rep 2023; 4:100571. [PMID: 37842325 PMCID: PMC10568265 DOI: 10.1016/j.jtocrr.2023.100571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 08/26/2023] [Indexed: 10/17/2023] Open
Affiliation(s)
- Rafael Rosell
- Instituto Oncológico Dr. Rosell, Dexeus University Hospital, Barcelona, Spain
- Pangaea Oncology, Dexeus University Hospital, Barcelona, Spain
- Laboratory of Molecular Biology, Germans Trias i Pujol Health Sciences Institute and Hospital (IGTP), Barcelona, Spain
| | - Carlos Pedraz-Valdunciel
- Pangaea Oncology, Dexeus University Hospital, Barcelona, Spain
- Invitrocue Spain, Barcelona, Spain
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19
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Wang Y, Ji N, Zhang Y, Chu J, Pan C, Zhang P, Ma W, Zhang X, Xi JJ, Chen M, Zhang Y, Zhang L, Sun T. B7H3-targeting chimeric antigen receptor modification enhances antitumor effect of Vγ9Vδ2 T cells in glioblastoma. J Transl Med 2023; 21:672. [PMID: 37770968 PMCID: PMC10537973 DOI: 10.1186/s12967-023-04514-8] [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: 07/06/2023] [Accepted: 09/07/2023] [Indexed: 09/30/2023] Open
Abstract
BACKGROUND Glioblastoma (GBM) is a highly aggressive primary brain tumor with a poor prognosis. This study investigates the therapeutic potential of human Vγ9Vδ2 T cells in GBM treatment. The sensitivity of different glioma specimens to Vγ9Vδ2 T cell-mediated cytotoxicity is assessed using a patient-derived tumor cell clusters (PTCs) model. METHODS The study evaluates the anti-tumor effect of Vγ9Vδ2 T cells in 26 glioma cases through the PTCs model. Protein expression of BTN2A1 and BTN3A1, along with gene expression related to lipid metabolism and glioma inflammatory response pathways, is analyzed in matched tumor tissue samples. Additionally, the study explores two strategies to re-sensitize tumors in the weak anti-tumor effect (WAT) group: utilizing a BTN3A1 agonistic antibody or employing bisphosphonates to inhibit farnesyl diphosphate synthase (FPPS). Furthermore, the study investigates the efficacy of genetically engineered Vγ9Vδ2 T cells expressing Car-B7H3 in targeting diverse GBM specimens. RESULTS The results demonstrate that Vγ9Vδ2 T cells display a stronger anti-tumor effect (SAT) in six glioma cases, while showing a weaker effect (WAT) in twenty cases. The SAT group exhibits elevated protein expression of BTN2A1 and BTN3A1, accompanied by differential gene expression related to lipid metabolism and glioma inflammatory response pathways. Importantly, the study reveals that the WAT group GBM can enhance Vγ9Vδ2 T cell-mediated killing sensitivity by incorporating either a BTN3A1 agonistic antibody or bisphosphonates. Both approaches support TCR-BTN mediated tumor recognition, which is distinct from the conventional MHC-peptide recognition by αβ T cells. Furthermore, the study explores an alternative strategy by genetically engineering Vγ9Vδ2 T cells with Car-B7H3, and both non-engineered and Car-B7H3 Vγ9Vδ2 T cells demonstrate promising efficacy in vivo, underscoring the versatile potential of Vγ9Vδ2 T cells for GBM treatment. CONCLUSIONS Vγ9Vδ2 T cells demonstrate a robust anti-tumor effect in some glioma cases, while weaker in others. Elevated BTN2A1 and BTN3A1 expression correlates with improved response. WAT group tumors can be sensitized using a BTN3A1 agonistic antibody or bisphosphonates. Genetically engineered Vγ9Vδ2 T cells, i.e., Car-B7H3, show promising efficacy. These results together highlight the versatility of Vγ9Vδ2 T cells for GBM treatment.
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Affiliation(s)
- Yi Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Nan Ji
- Beijing Advanced Innovation Center for Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Yang Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Junsheng Chu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Changcun Pan
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Peng Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Weiwei Ma
- Tsinghua-Peking Center for Life Sciences, State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Xueguang Zhang
- Jiangsu Institute of Clinical Immunology, First Affiliated Hospital, Jiangsu Provincial Key Laboratory of Stem Cell and Biomedical Materials, Soochow University, Soochow University, Suzhou, 215000, China
| | - Jianzhong Jeff Xi
- State Key Laboratory of Natural and Biomimetic Drugs, Institute of Molecular Medicine, Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China
| | - Mingze Chen
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China
| | - Yonghui Zhang
- Tsinghua-Peking Center for Life Sciences, State Key Laboratory of Membrane Biology, School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Liwei Zhang
- Beijing Advanced Innovation Center for Biomedical Engineering, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China.
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
| | - Tao Sun
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, 100070, China.
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20
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Yang Y, Song Z, Tian T, Zhao Z, Chen J, Hu J, Jiang X, Yang G, Xue Q, Zhao X, Sha W, Yang Y, Li JP. Trimming Crystallizable Fragment (Fc) Glycans Enables the Direct Enzymatic Transfer of Biomacromolecules to Antibodies as Therapeutics. Angew Chem Int Ed Engl 2023; 62:e202308174. [PMID: 37438983 DOI: 10.1002/anie.202308174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/12/2023] [Accepted: 07/12/2023] [Indexed: 07/14/2023]
Abstract
Glycoengineering has provided powerful tools to construct site-specific antibody conjugates. However, only small-molecule payloads can be directly transferred to native or engineered antibodies using existing glycoengineering strategies. Herein, we demonstrate that reducing the complexity of crystallizable fragment (Fc) glycans could dramatically boost the chemoenzymatic modification of immunoglobulin G (IgG) via an engineered fucosyltransferase. In this platform, antibodies with Fc glycans engineered to a simple N-acetyllactosamine (LacNAc) disaccharide are successfully conjugated to biomacromolecules, such as oligonucleotides and nanobodies, in a single step within hours. Accordingly, we synthesized an antibody-conjugate-based anti-human epidermal growth factor receptor 2 (HER2)/ cluster of differentiation 3 (CD3) bispecific antibody and used it to selectively destroy patient-derived cancer organoids by reactivating endogenous T lymphocyte cells (T cells) inside the organoid. Our results highlight that this platform is a general approach to construct antibody-biomacromolecule conjugates with translational values.
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Affiliation(s)
- Yang Yang
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Zhentao Song
- Glyco therapy Biotechnology Co., Ltd., 601/606 Building 12, Hangzhou Pharmaceutical Town, 291 Fucheng Road, Xiasha street, Qiantang Distirct, Hangzhou, Zhejiang, 310058, China
| | - Tian Tian
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Zihan Zhao
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
- Department of Urology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Ji Chen
- Glyco therapy Biotechnology Co., Ltd., 601/606 Building 12, Hangzhou Pharmaceutical Town, 291 Fucheng Road, Xiasha street, Qiantang Distirct, Hangzhou, Zhejiang, 310058, China
| | - Jiangping Hu
- Glyco therapy Biotechnology Co., Ltd., 601/606 Building 12, Hangzhou Pharmaceutical Town, 291 Fucheng Road, Xiasha street, Qiantang Distirct, Hangzhou, Zhejiang, 310058, China
| | - Xin Jiang
- Glyco therapy Biotechnology Co., Ltd., 601/606 Building 12, Hangzhou Pharmaceutical Town, 291 Fucheng Road, Xiasha street, Qiantang Distirct, Hangzhou, Zhejiang, 310058, China
| | - Guoli Yang
- Glyco therapy Biotechnology Co., Ltd., 601/606 Building 12, Hangzhou Pharmaceutical Town, 291 Fucheng Road, Xiasha street, Qiantang Distirct, Hangzhou, Zhejiang, 310058, China
| | - Qi Xue
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Xinlu Zhao
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Wanxing Sha
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
| | - Yi Yang
- Glyco therapy Biotechnology Co., Ltd., 601/606 Building 12, Hangzhou Pharmaceutical Town, 291 Fucheng Road, Xiasha street, Qiantang Distirct, Hangzhou, Zhejiang, 310058, China
| | - Jie P Li
- State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, 163 Xianlin Avenue, Nanjing, Jiangsu, 210023, China
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21
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de Nigris F, Meo C, Palinski W. Combination of Genomic Landsscape and 3D Culture Functional Assays Bridges Sarcoma Phenotype to Target and Immunotherapy. Cells 2023; 12:2204. [PMID: 37681936 PMCID: PMC10486752 DOI: 10.3390/cells12172204] [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: 07/27/2023] [Revised: 08/24/2023] [Accepted: 08/30/2023] [Indexed: 09/09/2023] Open
Abstract
Genomic-based precision medicine has not only improved tumour therapy but has also shown its weaknesses. Genomic profiling and mutation analysis have identified alterations that play a major role in sarcoma pathogenesis and evolution. However, they have not been sufficient in predicting tumour vulnerability and advancing treatment. The relative rarity of sarcomas and the genetic heterogeneity between subtypes also stand in the way of gaining statistically significant results from clinical trials. Personalized three-dimensional tumour models that reflect the specific histologic subtype are emerging as functional assays to test anticancer drugs, complementing genomic screening. Here, we provide an overview of current target therapy for sarcomas and discuss functional assays based on 3D models that, by recapitulating the molecular pathways and tumour microenvironment, may predict patient response to treatments. This approach opens new avenues to improve precision medicine when genomic and pathway alterations are not sufficient to guide the choice of the most promising treatment. Furthermore, we discuss the aspects of the 3D culture assays that need to be improved, such as the standardisation of growth conditions and the definition of in vitro responses that can be used as a cut-off for clinical implementation.
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Affiliation(s)
- Filomena de Nigris
- Department of Precision Medicine, School of Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
| | - Concetta Meo
- Department of Precision Medicine, School of Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
| | - Wulf Palinski
- Department of Medicine, University of California San Diego, La Jolla, CA 92037, USA;
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22
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Liu H, Su H, Wang F, Dang Y, Ren Y, Yin S, Lu H, Zhang H, Wu J, Xu Z, Zheng M, Gao J, Cao Y, Xu J, Chen L, Wu X, Ma M, Xu L, Wang F, Chen J, Su C, Wu C, Xie H, Gu J, Xi JJ, Ge B, Fei Y, Chen C. Pharmacological boosting of cGAS activation sensitizes chemotherapy by enhancing antitumor immunity. Cell Rep 2023; 42:112275. [PMID: 36943864 DOI: 10.1016/j.celrep.2023.112275] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 01/18/2023] [Accepted: 03/01/2023] [Indexed: 03/23/2023] Open
Abstract
Enhancing chemosensitivity is one of the largest unmet medical needs in cancer therapy. Cyclic GMP-AMP synthase (cGAS) connects genome instability caused by platinum-based chemotherapeutics to type I interferon (IFN) response. Here, by using a high-throughput small-molecule microarray-based screening of cGAS interacting compounds, we identify brivanib, known as a dual inhibitor of vascular endothelial growth factor receptor and fibroblast growth factor receptor, as a cGAS modulator. Brivanib markedly enhances cGAS-mediated type I IFN response in tumor cells treated with platinum. Mechanistically, brivanib directly targets cGAS and enhances its DNA binding affinity. Importantly, brivanib synergizes with cisplatin in tumor control by boosting CD8+ T cell response in a tumor-intrinsic cGAS-dependent manner, which is further validated by a patient-derived tumor-like cell clusters model. Taken together, our findings identify cGAS as an unprecedented target of brivanib and provide a rationale for the combination of brivanib with platinum-based chemotherapeutics in cancer treatment.
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Affiliation(s)
- Haipeng Liu
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Shanghai HUASHEN Institute of Microbes and Infections, Shanghai 200052, China.
| | - Hang Su
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Fei Wang
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Yifang Dang
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Shanghai HUASHEN Institute of Microbes and Infections, Shanghai 200052, China
| | - Yijiu Ren
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Shenyi Yin
- College of Future Technology, Peking University, Beijing 100871, China
| | - Huinan Lu
- GeneX Health Co. Ltd., Beijing 100195, China
| | - Hang Zhang
- Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, and the Institute of Biomedical Sciences, School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Zhu Xu
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Mengge Zheng
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Jiani Gao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Yajuan Cao
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Junfang Xu
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Li Chen
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Xiangyang Wu
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Mingtong Ma
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Long Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Fang Wang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Jianxia Chen
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Chunxia Su
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Chunyan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Huikang Xie
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Jijie Gu
- WuXi Biologics (Shanghai) Co., Ltd., Shanghai City 201401, China
| | - Jianzhong Jeff Xi
- College of Future Technology, Peking University, Beijing 100871, China
| | - Baoxue Ge
- Clinical and Translational Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
| | - Yiyan Fei
- Department of Optical Science and Engineering, Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China.
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
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23
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Functional precision oncology using patient-derived assays: bridging genotype and phenotype. Nat Rev Clin Oncol 2023; 20:305-317. [PMID: 36914745 DOI: 10.1038/s41571-023-00745-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/20/2023] [Indexed: 03/14/2023]
Abstract
Genomics-based precision medicine has revolutionized oncology but also has inherent limitations. Functional precision oncology is emerging as a complementary approach that aims to bridge the gap between genotype and phenotype by modelling individual tumours in vitro. These patient-derived ex vivo models largely preserve several tumour characteristics that are not captured by genomics approaches and enable the functional dissection of tumour vulnerabilities in a personalized manner. In this Review, we discuss several examples of personalized functional assays involving tumour organoids, spheroids and explants and their potential to predict treatment responses and drug-induced toxicities in individual patients. These developments have opened exciting new avenues for precision oncology, with the potential for successful clinical applications in contexts in which genomic data alone are not informative. To implement these assays into clinical practice, we outline four key barriers that need to be overcome: assay success rates, turnaround times, the need for standardized conditions and the definition of in vitro responders. Furthermore, we discuss novel technological advances such as microfluidics that might reduce sample requirements, assay times and labour intensity and thereby enable functional precision oncology to be implemented in routine clinical practice.
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24
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Zhang J, Hong Z, Lu W, Fang T, Ren Y, Yin S, Xuan Q, Li D, Xi JJ, Yao B. Assessment of Drug Susceptibility for Patient-Derived Tumor Models through Lactate Biosensing and Machine Learning. ACS Sens 2023; 8:803-810. [PMID: 36787531 DOI: 10.1021/acssensors.2c02381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
A patient-derived tumor model (PDM) is a practical tool to rapidly screen chemotherapeutics for individual patients. The evaluation method of cell viability directly determines the application of PDMs for drug susceptibility testing. As one of the metabolites of "glycosis", the lactate content was used to evaluate cell viability, but these assays were not specific for tumor cells. Based on the "Warburg effect", wherein tumor cells preferentially rely on "aerobic glycolysis" to produce lactate instead of pyruvate in "anaerobic glycolysis" of normal cells, we reported a gold lactate sensor (GLS) to estimate the cell viability of PDMs in drug susceptibility testing. It demonstrated high consistency between the GLS and commercial cell viability assay. Unlike either imaging or cell viability assay, the GLS characterizes the cell viability, enables dynamic monitoring, and distinguishes tumor cells from other cells. Moreover, machine learning (ML) was employed to perform a multi-index assessment for drug susceptibility of PDMs, which proved to be accurate and practical for clinical application. Therefore, the GLS provides an ideal drug susceptibility testing tool for individualized medicine.
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Affiliation(s)
- Jingfeng Zhang
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Zichen Hong
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Wei Lu
- GeneX (Zhejiang) Precision Medicine Co., Ltd., Hangzhou 311100, China
| | - Tianyuan Fang
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Yongan Ren
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
| | - Shenyi Yin
- College of Future Technology, Peking University, Beijing 100871, China
| | - Qijia Xuan
- Department of Oncology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China
| | - Dezhi Li
- Department of Oncology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, China
| | - Jianzhong Jeff Xi
- College of Future Technology, Peking University, Beijing 100871, China
| | - Bo Yao
- Department of Chemistry, Zhejiang University, Hangzhou 310058, China
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25
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Xia W, Chen W, Fang S, Wu J, Zhang J, Yuan H. Case report: Individualized treatment of advanced breast cancer with the use of the patient-derived tumor-like cell cluster model. Front Oncol 2022; 12:897984. [DOI: 10.3389/fonc.2022.897984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 10/11/2022] [Indexed: 11/13/2022] Open
Abstract
Breast cancer is one of the most common tumors in women. Despite various treatments, the survival of patients with advanced breast cancer is still disappointing. Furthermore, finding an effective individualized treatment for different kinds of patients is a thorny problem. Patient-derived tumor-like cell clusters were reported to be used for personalized drug testing in cancer therapy and had a prediction accuracy of 93%. However, there is still a lack of case reports about its application in the individualized treatment of breast cancer patients. Here, we described four cases of individualized treatment for advanced breast cancer using the patient-derived tumor-like cell cluster model (PTC model). In these four cases, the PTC model showed a good predictive effect. The tumor size was reduced significantly or even disappeared completely through clinical, radiological, or pathological evaluation with the help of the PTC model for selecting an individualized therapy regimen. Furthermore, the drug sensitivity test results of the PTC model were consistent with pathological molecular typing and the actual clinical drug resistance of the patients. In summary, our case report first evaluated the application value of the PTC model in advanced breast cancer, and the PTC model might be used as an efficient tool for drug resistance screening and for selecting a better personalized treatment, although further study is needed to prove the validity and stability of the PTC model in drug screening.
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26
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Liang C, Yang JB, Lin XY, Xie BL, Xu YX, Lin S, Xu TW. Recent advances in the diagnostic and therapeutic roles of microRNAs in colorectal cancer progression and metastasis. Front Oncol 2022; 12:911856. [PMID: 36313731 PMCID: PMC9607901 DOI: 10.3389/fonc.2022.911856] [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: 04/03/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Colorectal cancer (CRC) is the third most common malignancy in the world and one of the leading causes of cancer death; its incidence is still increasing in most countries. The early diagnostic accuracy of CRC is low, and the metastasis rate is high, resulting in a low survival rate of advanced patients. MicroRNAs (miRNAs) are a small class of noncoding RNAs that can inhibit mRNA translation and trigger mRNA degradation, and can affect a variety of cellular and molecular targets. Numerous studies have shown that miRNAs are related to tumour progression, immune system activity, anticancer drug resistance, and the tumour microenvironment. Dysregulation of miRNAs occurs in a variety of malignancies, including CRC. In this review, we summarize the recent research progress of miRNAs, their roles in tumour progression and metastasis, and their clinical value as potential biomarkers or therapeutic targets for CRC. Furthermore, we combined the roles of miRNAs in tumorigenesis and development with the therapeutic strategies of CRC patients, which will provide new ideas for the diagnosis and treatment of CRC.
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Affiliation(s)
- Chen Liang
- Department of Digestive Tumours, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Jing-Bo Yang
- Department of Digestive Tumours, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xin-Yi Lin
- Department of Digestive Tumours, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Bi-Lan Xie
- Department of Digestive Tumours, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yun-Xian Xu
- Department of Digestive Tumours, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Shu Lin
- Centre of Neurological and Metabolic Research, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Group of Neuroendocrinology, Garvan Institute of Medical Research, Sydney, NSW, Australia
- *Correspondence: Tian-Wen Xu, ; Shu Lin,
| | - Tian-Wen Xu
- Department of Digestive Tumours, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- *Correspondence: Tian-Wen Xu, ; Shu Lin,
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27
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Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma. Nat Commun 2022; 13:4214. [PMID: 35864093 PMCID: PMC9304377 DOI: 10.1038/s41467-022-31799-y] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 06/29/2022] [Indexed: 02/07/2023] Open
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain cancer with a poor prognosis and few treatment options. Here, building on the observation of elevated lactate (LA) in resected GBM, we develop biomimetic therapeutic nanoparticles (NPs) that deliver agents for LA metabolism-based synergistic therapy. Because our self-assembling NPs are encapsulated in membranes derived from glioma cells, they readily penetrate the blood-brain barrier and target GBM through homotypic recognition. After reaching the tumors, lactate oxidase in the NPs converts LA into pyruvic acid (PA) and hydrogen peroxide (H2O2). The PA inhibits cancer cell growth by blocking histones expression and inducing cell-cycle arrest. In parallel, the H2O2 reacts with the delivered bis[2,4,5-trichloro-6-(pentyloxycarbonyl)phenyl] oxalate to release energy, which is used by the co-delivered photosensitizer chlorin e6 for the generation of cytotoxic singlet oxygen to kill glioma cells. Such a synergism ensures strong therapeutic effects against both glioma cell-line derived and patient-derived xenograft models. Targeting cancer-associated metabolism is evolving as a promising approach for cancer therapy. Here, the authors generate cancer cell-membrane encapsulated nanoparticles to induce cell cycle arrest and cytotoxicity in lactate-high cancer cells, reducing tumourigensis in glioblastoma cell-line and patient-derived models.
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28
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Abstract
In this paper, we study the classification problem of large data with many features and strong feature dependencies. This type of problem has shortcomings when handled by machine learning models. Therefore, a classification model with cognitive reasoning ability is proposed. The core idea is to use cognitive reasoning mechanism proposed in this paper to solve the classification problem of large structured data with multiple features and strong correlation between features, and then implements cognitive reasoning for features. The model has three parts. The first part proposes a Feature-to-Image algorithm for converting structured data into image data. The algorithm quantifies the dependencies between features, so as to take into account the impact of individual independent features and correlations between features on the prediction results. The second part designs and implements low-level feature extraction of the quantified features using convolutional neural networks. With the relative symmetry of the capsule network, the third part proposes a cognitive reasoning mechanism to implement high-level feature extraction, feature cognitive reasoning, and classification tasks of the data. At the same time, this paper provides the derivation process and algorithm description of cognitive reasoning mechanism. Experiments show that our model is efficient and outperforms comparable models on the category prediction experiment of ADMET properties of five compounds.This work will provide a new way for cognitive computing of intelligent data analysis.
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29
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Liu Z, Xie X, Huang Z, Lin F, Liu S, Chen Z, Qin S, Fan X, Chen PR. Spatially resolved cell tagging and surfaceome labeling via targeted photocatalytic decaging. Chem 2022. [DOI: 10.1016/j.chempr.2022.04.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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30
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Wang Z, Yu Y, Wu P, Ye Q, Guo Y, Zhang X, Xi L, Li Q, Jin Y, Zhou D, Luo Y, Peng S, Li J. Lactate promotes the growth of patient-derived organoids from hepatopancreatobiliary cancers via ENO1/HIF1α pathway and does not affect their drug sensitivities. Cell Death Dis 2022; 8:214. [PMID: 35443744 PMCID: PMC9021221 DOI: 10.1038/s41420-022-01014-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 03/30/2022] [Accepted: 03/30/2022] [Indexed: 11/28/2022]
Abstract
The long culture duration of patient-derived organoids (PDOs) have severely limited their clinical applications. The aim of this study was to determine the effect of lactate supplementation on the growth, genetic profiles and drug sensitivities of PDOs from hepatopancreatobiliary tumors. LM3, Huh7, Panc02, and RBE cell lines were cultured as organoids in the presence or absence of lactate, and total protein was extracted to measure the expression of α-enolase (ENO1), hypoxia-inducible factor-1α (HIF1α), AKT, and PI3 kinase (PI3K). Thirteen hepatopancreatobiliary tumor specimens were collected during surgical resection and cultured as PDOs with or without l-lactate. Hematoxylin and eosin (H&E) staining and immunohistochemical staining were performed on the original tissues and PDOs to compare their pathological structures, and their genetic profiles were analyzed by whole-exome sequencing (WES). The sensitivity of the PDOs to gemcitabine, 5-fluorouracil, cisplatin, paclitaxel, ivosidenib, infigratinib, and lenvatinib were evaluated in terms of cell viability. Peripheral blood mononuclear cells (PBMCs) were isolated and co-cultured with PDOs to test the sensitivity of PDOs to tislelizumab. The addition of 20 mM lactate significantly promoted the growth of LM3 and Huh 7 organoids by 217% and 36%, respectively, compared to the control group, and the inhibition of lactate transporter decreased their growth. The HIF1α/ENO1/AKT/PI3K pathway was also activated by lactate. The inhibition of enolase also partly decreased the growth of organoids treated with lactate. Furthermore, 20 mM lactate increased the viability of 9 PDOs from 135% to 317% without affecting their pathological features. The genetic similarity, in terms of single nucleotide variations, insertions, and deletions, between original tissues and lactate-treated PDOs ranged from 83.2% to 94.1%, and that between the untreated and lactate-treated PDOs was at least 93.2%. Furthermore, the addition of lactate did not significantly change the dose–response curves of the PDOs to chemotherapeutic drugs, targeted drugs, and immune checkpoint inhibitor, especially for the drugs to which the cells were sensitive. Thus, lactate can be added to the culture medium of PDOs to promote their growth without altering their genetic profiles and drug sensitivities.
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Affiliation(s)
- Zhiwei Wang
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Yuanquan Yu
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Peiyao Wu
- Gastroenterology Endoscopy Center, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, 210029, Nanjing, Jiangsu Province, China
| | - Qinghuang Ye
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Yinghao Guo
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Xiaoxiao Zhang
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Longfu Xi
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Qi Li
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Yun Jin
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Donger Zhou
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Yan Luo
- Department of Biochemistry and Cancer Institute of the Second Affiliated Hospital (Key Laboratory of Cancer Prevention and Intervention of China National MOE), Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shuyou Peng
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China
| | - Jiangtao Li
- Department of Surgery, the Second Affiliated Hospital, Zhejiang University School of Medicine, 310009, Hangzhou, Zhejiang Province, China.
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31
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Wang S, Li F, Ye T, Wang J, Lyu C, Qing S, Ding Z, Gao X, Jia R, Yu D, Ren J, Wei W, Ma G. Macrophage-tumor chimeric exosomes accumulate in lymph node and tumor to activate the immune response and the tumor microenvironment. Sci Transl Med 2021; 13:eabb6981. [PMID: 34644149 DOI: 10.1126/scitranslmed.abb6981] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Shuang Wang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China
| | - Feng Li
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Tong Ye
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Jianghua Wang
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Chengliang Lyu
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China
| | - Shuang Qing
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Zhaowen Ding
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Xiaoyong Gao
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China
| | - Rongrong Jia
- Department of Gastroenterology, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, PR China
| | - Di Yu
- University of Queensland Diamantina Institute, Faculty of Medicine, University of Queensland, Translational Research Institute, Brisbane 4102, Australia
| | - Jun Ren
- Department of Medical Oncology, Beijing Key Laboratory for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, PR China
| | - Wei Wei
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Guanghui Ma
- State Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China.,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China
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32
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Tang LJW, Zaseela A, Toh CCM, Adine C, Aydar AO, Iyer NG, Fong ELS. Engineering stromal heterogeneity in cancer. Adv Drug Deliv Rev 2021; 175:113817. [PMID: 34087326 DOI: 10.1016/j.addr.2021.05.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/19/2021] [Accepted: 05/29/2021] [Indexed: 02/09/2023]
Abstract
Based on our exponentially increasing knowledge of stromal heterogeneity from advances in single-cell technologies, the notion that stromal cell types exist as a spectrum of unique subpopulations that have specific functions and spatial distributions in the tumor microenvironment has significant impact on tumor modeling for drug development and personalized drug testing. In this Review, we discuss the importance of incorporating stromal heterogeneity and tumor architecture, and propose an overall approach to guide the reconstruction of stromal heterogeneity in vitro for tumor modeling. These next-generation tumor models may support the development of more precise drugs targeting specific stromal cell subpopulations, as well as enable improved recapitulation of patient tumors in vitro for personalized drug testing.
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Affiliation(s)
- Leon Jia Wei Tang
- Department of Biological Sciences, National University of Singapore, Singapore
| | - Ayshath Zaseela
- Department of Biomedical Engineering, National University of Singapore, Singapore
| | | | - Christabella Adine
- Department of Biomedical Engineering, National University of Singapore, Singapore; The N.1 Institute for Health, National University of Singapore, Singapore
| | - Abdullah Omer Aydar
- Department of Biomedical Engineering, National University of Singapore, Singapore
| | - N Gopalakrishna Iyer
- National Cancer Centre Singapore, Singapore; Duke-NUS Medical School, Singapore.
| | - Eliza Li Shan Fong
- Department of Biomedical Engineering, National University of Singapore, Singapore; The N.1 Institute for Health, National University of Singapore, Singapore.
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33
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Liu Y, Liang G, Xu H, Dong W, Dong Z, Qiu Z, Zhang Z, Li F, Huang Y, Li Y, Wu J, Yin S, Zhang Y, Guo P, Liu J, Xi JJ, Jiang P, Han D, Yang CG, Xu MM. Tumors exploit FTO-mediated regulation of glycolytic metabolism to evade immune surveillance. Cell Metab 2021; 33:1221-1233.e11. [PMID: 33910046 DOI: 10.1016/j.cmet.2021.04.001] [Citation(s) in RCA: 161] [Impact Index Per Article: 53.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/24/2021] [Accepted: 04/05/2021] [Indexed: 12/19/2022]
Abstract
The ever-increasing understanding of the complexity of factors and regulatory layers that contribute to immune evasion facilitates the development of immunotherapies. However, the diversity of malignant tumors limits many known mechanisms in specific genetic and epigenetic contexts, manifesting the need to discover general driver genes. Here, we have identified the m6A demethylase FTO as an essential epitranscriptomic regulator utilized by tumors to escape immune surveillance through regulation of glycolytic metabolism. We show that FTO-mediated m6A demethylation in tumor cells elevates the transcription factors c-Jun, JunB, and C/EBPβ, which allows the rewiring of glycolytic metabolism. Fto knockdown impairs the glycolytic activity of tumor cells, which restores the function of CD8+ T cells, thereby inhibiting tumor growth. Furthermore, we developed a small-molecule compound, Dac51, that can inhibit the activity of FTO, block FTO-mediated immune evasion, and synergize with checkpoint blockade for better tumor control, suggesting reprogramming RNA epitranscriptome as a potential strategy for immunotherapy.
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Affiliation(s)
- Yi Liu
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Guanghao Liang
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; College of Future Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongjiao Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wenxin Dong
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Ze Dong
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhiwei Qiu
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zihao Zhang
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Fangle Li
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; College of Future Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yue Huang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
| | - Yilin Li
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jun Wu
- Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Shenyi Yin
- State Key Laboratory of Natural and Biomimetic Drugs, Institute of Molecular Medicine, Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
| | - Yawei Zhang
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; College of Future Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peijin Guo
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jun Liu
- Department of Chemistry and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA
| | - Jianzhong Jeff Xi
- State Key Laboratory of Natural and Biomimetic Drugs, Institute of Molecular Medicine, Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
| | - Peng Jiang
- Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Dali Han
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; College of Future Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China.
| | - Cai-Guang Yang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; University of Chinese Academy of Sciences, Beijing 100049, China; School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
| | - Meng Michelle Xu
- Department of Basic Medical Sciences, School of Medicine, Institute for Immunology, Beijing Key Lab for Immunological Research on Chronic Diseases, THU-PKU Center for Life Sciences, Tsinghua University, Beijing 100084, China.
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Ding RB, Chen P, Rajendran BK, Lyu X, Wang H, Bao J, Zeng J, Hao W, Sun H, Wong AHH, Valecha MV, Yang EJ, Su SM, Choi TK, Liu S, Chan KI, Yang LL, Wu J, Miao K, Chen Q, Shim JS, Xu X, Deng CX. Molecular landscape and subtype-specific therapeutic response of nasopharyngeal carcinoma revealed by integrative pharmacogenomics. Nat Commun 2021; 12:3046. [PMID: 34031426 PMCID: PMC8144567 DOI: 10.1038/s41467-021-23379-3] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 04/16/2021] [Indexed: 02/04/2023] Open
Abstract
Nasopharyngeal carcinoma (NPC) is a malignant head and neck cancer type with high morbidity in Southeast Asia, however the pathogenic mechanism of this disease is poorly understood. Using integrative pharmacogenomics, we find that NPC subtypes maintain distinct molecular features, drug responsiveness, and graded radiation sensitivity. The epithelial carcinoma (EC) subtype is characterized by activations of microtubule polymerization and defective mitotic spindle checkpoint related genes, whereas sarcomatoid carcinoma (SC) and mixed sarcomatoid-epithelial carcinoma (MSEC) subtypes exhibit enriched epithelial-mesenchymal transition (EMT) and invasion promoting genes, which are well correlated with their morphological features. Furthermore, patient-derived organoid (PDO)-based drug test identifies potential subtype-specific treatment regimens, in that SC and MSEC subtypes are sensitive to microtubule inhibitors, whereas EC subtype is more responsive to EGFR inhibitors, which is synergistically enhanced by combining with radiotherapy. Through combinational chemoradiotherapy (CRT) screening, effective CRT regimens are also suggested for patients showing less sensitivity to radiation. Altogether, our study provides an example of applying integrative pharmacogenomics to establish a personalized precision oncology for NPC subtype-guided therapies.
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Affiliation(s)
- Ren-Bo Ding
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Ping Chen
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.488387.8Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan China
| | - Barani Kumar Rajendran
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Xueying Lyu
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Haitao Wang
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Jiaolin Bao
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Jianming Zeng
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Wenhui Hao
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Heng Sun
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Ada Hang-Heng Wong
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Monica Vishnu Valecha
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Eun Ju Yang
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Sek Man Su
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Tak Kan Choi
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Shuiming Liu
- grid.507998.a0000 0004 0639 5728Kiang Wu Hospital, Macau SAR, China
| | - Kin Iong Chan
- grid.507998.a0000 0004 0639 5728Kiang Wu Hospital, Macau SAR, China
| | - Ling-Lin Yang
- grid.488387.8Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan China
| | - Jingbo Wu
- grid.488387.8Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan China
| | - Kai Miao
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR, China
| | - Qiang Chen
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR, China
| | - Joong Sup Shim
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR, China
| | - Xiaoling Xu
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR, China
| | - Chu-Xia Deng
- grid.437123.00000 0004 1794 8068Cancer Centre, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China ,grid.437123.00000 0004 1794 8068MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR, China
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Tang F, Tie Y, Hong WQ, He X, Min L, Zhou Y, Luo Y, Chen SY, Yang JY, Shi HH, Wei XW, Tu CQ. Patient-Derived Tumor Xenografts Plus Ex Vivo Models Enable Drug Validation for Tenosynovial Giant Cell Tumors. Ann Surg Oncol 2021; 28:6453-6463. [PMID: 33748895 DOI: 10.1245/s10434-021-09836-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 02/19/2021] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Tenosynovial giant cell tumor (TGCT) is a locally aggressive tumor with colony-stimulating factor 1 receptor (CSF1R) signal expression. However, there is a lack of better in vivo and ex vivo models for TGCT. This study aims to establish a favorable preclinical translational platform, which would enable the validation of efficient and personalized therapeutic candidates for TGCT. PATIENTS AND METHODS Histological analyses were performed for the included patients. Fresh TGCT tumors were collected and sliced into 1.0-3.0 mm3 sections using a sterilized razor blade. The tumor grafts were surgically implanted into subrenal capsules of athymic mice to establish patient-derived tumor xenograft (PDTX) mouse models. Histological and response patterns to CSF1R inhibitors evaluations were analyzed. In addition, ex vivo cultures of patient-derived explants (PDEs) with endpoint analysis were used to validate TGCT graft response patterns to CSF1R inhibitors. RESULTS The TGCT tumor grafts that were implanted into athymic mice subrenal capsules maintained their original morphological and histological features. The "take" rate of this model was 95% (19/20). Administration of CSF1R inhibitors (PLX3397, and a novel candidate, WXFL11420306) to TGCT-PDTX mice was shown to reduce tumor size while inducing intratumoral apoptosis. In addition, the CSF1R inhibitors suppressed circulating nonspecific monocyte levels and CD163-positive cells within tumors. These response patterns of engrafts to PDTX were validated by ex vivo PDE cultures. CONCLUSIONS Subrenal capsule supports the growth of TGCT tumor grafts, maintaining their original morphology and histology. This TGCT-PDTX model plus ex vivo explant cultures is a potential preclinical translational platform for locally aggressive tumors, such as TGCT.
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Affiliation(s)
- Fan Tang
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.,Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Tie
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei-Qi Hong
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xin He
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Li Min
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Zhou
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Luo
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China
| | - Si-Yuan Chen
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Jing-Yun Yang
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Hou-Hui Shi
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xia-Wei Wei
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
| | - Chong-Qi Tu
- Department of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
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36
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Sánchez-Salazar MG, Álvarez MM, Trujillo-de Santiago G. Advances in 3D bioprinting for the biofabrication of tumor models. ACTA ACUST UNITED AC 2021. [DOI: 10.1016/j.bprint.2020.e00120] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Hynds RE, Frese KK, Pearce DR, Grönroos E, Dive C, Swanton C. Progress towards non-small-cell lung cancer models that represent clinical evolutionary trajectories. Open Biol 2021; 11:200247. [PMID: 33435818 PMCID: PMC7881177 DOI: 10.1098/rsob.200247] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 12/10/2020] [Indexed: 12/24/2022] Open
Abstract
Non-small-cell lung cancer (NSCLC) is the leading cause of cancer-related deaths worldwide. Although advances are being made towards earlier detection and the development of impactful targeted therapies and immunotherapies, the 5-year survival of patients with advanced disease is still below 20%. Effective cancer research relies on pre-clinical model systems that accurately reflect the evolutionary course of disease progression and mimic patient responses to therapy. Here, we review pre-clinical models, including genetically engineered mouse models and patient-derived materials, such as cell lines, primary cell cultures, explant cultures and xenografts, that are currently being used to interrogate NSCLC evolution from pre-invasive disease through locally invasive cancer to the metastatic colonization of distant organ sites.
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Affiliation(s)
- Robert E. Hynds
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Kristopher K. Frese
- Cancer Research UK Lung Cancer Centre of Excellence, University of Manchester, Manchester, UK
- Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Alderley Park, Macclesfield, UK
| | - David R. Pearce
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, UK
| | - Eva Grönroos
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Caroline Dive
- Cancer Research UK Lung Cancer Centre of Excellence, University of Manchester, Manchester, UK
- Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Alderley Park, Macclesfield, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
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Jiang S, Zhao H, Zhang W, Wang J, Liu Y, Cao Y, Zheng H, Hu Z, Wang S, Zhu Y, Wang W, Cui S, Lobie PE, Huang L, Ma S. An Automated Organoid Platform with Inter-organoid Homogeneity and Inter-patient Heterogeneity. CELL REPORTS MEDICINE 2020; 1:100161. [PMID: 33377132 PMCID: PMC7762778 DOI: 10.1016/j.xcrm.2020.100161] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 07/20/2020] [Accepted: 11/24/2020] [Indexed: 12/11/2022]
Abstract
Current organoid technologies require intensive manual manipulation and lack uniformity in organoid size and cell composition. We present here an automated organoid platform that generates uniform organoid precursors in high-throughput. This is achieved by templating from monodisperse Matrigel droplets and sequentially delivering them into wells using a synchronized microfluidic droplet printer. Each droplet encapsulates a certain number of cells (e.g., 1,500 cells), which statistically represent the heterogeneous cell population in a tumor section. The system produces >400-μm organoids within 1 week with both inter-organoid homogeneity and inter-patient heterogeneity. This enables automated organoid printing to obtain one organoid per well. The organoids recapitulate 97% gene mutations in the parental tumor and reflect the patient-to-patient variation in drug response and sensitivity, from which we obtained more than 80% accuracy among the 21 patients investigated. This organoid platform is anticipated to fulfill the personalized medicine goal of 1-week high-throughput screening for cancer patients.
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Affiliation(s)
- Shengwei Jiang
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Haoran Zhao
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Weijie Zhang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, No1 Jianshe East Road, Zhengzhou 450052, China
| | - Jiaqi Wang
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Yuhong Liu
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Yuanxiong Cao
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Honghui Zheng
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Zhiwei Hu
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Shubin Wang
- Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute of Shenzhen PKU-HKUST Medical Center, 1120 Lianhua Road, Shenzhen 518036, China
| | - Yu Zhu
- Department of Oncology, Peking University Shenzhen Hospital, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute of Shenzhen PKU-HKUST Medical Center, 1120 Lianhua Road, Shenzhen 518036, China
| | - Wei Wang
- Department of Pathology, Shenzhen University General Hospital, Shenzhen 518055, China
| | - Shuzhong Cui
- Department of Abdominal Surgery, Affiliated Cancer Hospital of Guangzhou Medical University, Guangzhou 510095, China
| | - Peter E. Lobie
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
| | - Laiqiang Huang
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
- Department of Chemistry, Tsinghua University, Beijing 100084, China
- Corresponding author
| | - Shaohua Ma
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua University, Shenzhen 518055, China
- Corresponding author
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Electrochemical Detection and Point-of-Care Testing for Circulating Tumor Cells: Current Techniques and Future Potentials. SENSORS 2020; 20:s20216073. [PMID: 33114569 PMCID: PMC7663783 DOI: 10.3390/s20216073] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/18/2020] [Accepted: 10/23/2020] [Indexed: 12/13/2022]
Abstract
Circulating tumor cells (CTCs) are tumor cells that escaped from the primary tumor or the metastasis into the blood and they play a major role in the initiation of metastasis and tumor recurrence. Thus, it is widely accepted that CTC is the main target of liquid biopsy. In the past few decades, the separation of CTC based on the electrochemical method has attracted widespread attention due to its convenience, rapidness, low cost, high sensitivity, and no need for complex instruments and equipment. At present, CTC detection is not widely used in the clinic due to various reasons. Point-of-care CTC detection provides us with a possibility, which is sensitive, fast, cheap, and easy to operate. More importantly, the testing instrument is small and portable, and the testing does not require specialized laboratories and specialized clinical examiners. In this review, we summarized the latest developments in the electrochemical-based CTC detection and point-of-care CTC detection, and discussed the challenges and possible trends.
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