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Xu J, Yu B, Wang F, Yang J. Xenograft and organoid models in developing precision medicine for gastric cancer (Review). Int J Oncol 2024; 64:41. [PMID: 38390969 PMCID: PMC10919760 DOI: 10.3892/ijo.2024.5629] [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: 10/07/2023] [Accepted: 02/08/2024] [Indexed: 02/24/2024] Open
Abstract
Gastric cancer (GC), a highly heterogeneous disease, has diverse histological and molecular subtypes. For precision medicine, well‑characterized models encompassing the full spectrum of subtypes are necessary. Patient‑derived tumor xenografts and organoids serve as important preclinical models in GC research. The main advantage of these models is the retention of phenotypic and genotypic heterogeneity present in parental tumor tissues. Utilizing diverse sequencing techniques and preclinical models for GC research facilitates accuracy in predicting personalized clinical responses to anti‑cancer treatments. The present review summarizes the latest advances of these two preclinical models in GC treatment and drug response assessment.
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Affiliation(s)
- Jiao Xu
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
| | - Bixin Yu
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
| | - Fan Wang
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
| | - Jin Yang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
- Department of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
- Phase I Clinical Trial Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
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Ueda S, Tanaka T, Hirosuna K, Miyamoto S, Murakami H, Nishie R, Tsuchihashi H, Toji A, Morita N, Hashida S, Daimon A, Terada S, Maruoka H, Kogata Y, Taniguchi K, Komura K, Ohmichi M. Consistency between Primary Uterine Corpus Malignancies and Their Corresponding Patient-Derived Xenograft Models. Int J Mol Sci 2024; 25:1486. [PMID: 38338763 PMCID: PMC10855170 DOI: 10.3390/ijms25031486] [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: 12/18/2023] [Revised: 01/23/2024] [Accepted: 01/23/2024] [Indexed: 02/12/2024] Open
Abstract
Patient-derived xenograft (PDX) models retain the characteristics of tumors and are useful tools for personalized therapy and translational research. In this study, we aimed to establish PDX models for uterine corpus malignancies (UC-PDX) and analyze their similarities. Tissue fragments obtained from 92 patients with uterine corpus malignancies were transplanted subcutaneously into immunodeficient mice. Histological and immunohistochemical analyses were performed to compare tumors of patients with PDX tumors. DNA and RNA sequencing were performed to validate the genetic profile. Furthermore, the RNA in extracellular vesicles (EVs) extracted from primary and PDX tumors was analyzed. Among the 92 cases, 52 UC-PDX models were established, with a success rate of 56.5%. The success rate depended on tumor histology and staging. The pathological and immunohistochemical features of primary and PDX tumors were similar. DNA sequencing revealed similarities in gene mutations between the primary and PDX tumors. RNA sequencing showed similarities in gene expressions between primary and PDX tumors. Furthermore, the RNA profiles of the EVs obtained from primary and PDX tumors were similar. As UC-PDX retained the pathological and immunohistochemical features and gene profiles of primary tumors, they may provide a platform for developing personalized medicine and translational research.
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Affiliation(s)
- Shoko Ueda
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Tomohito Tanaka
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
- Center for Medical Research & Development, Division of Translational Research, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (K.T.); (K.K.)
| | - Kensuke Hirosuna
- Department of Regenerative Science, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikatachou, Kita-ku, Okayama 700-8558, Okayama, Japan;
| | - Shunsuke Miyamoto
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
- Center for Medical Research & Development, Division of Translational Research, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (K.T.); (K.K.)
| | - Hikaru Murakami
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Ruri Nishie
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Hiromitsu Tsuchihashi
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Akihiko Toji
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Natsuko Morita
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Sousuke Hashida
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Atsushi Daimon
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Shinichi Terada
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Hiroshi Maruoka
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Yuhei Kogata
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
| | - Kohei Taniguchi
- Center for Medical Research & Development, Division of Translational Research, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (K.T.); (K.K.)
| | - Kazumasa Komura
- Center for Medical Research & Development, Division of Translational Research, Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (K.T.); (K.K.)
| | - Masahide Ohmichi
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki 569-8686, Osaka, Japan; (S.U.); (S.M.); (H.M.); (R.N.); (H.T.); (A.T.); (N.M.); (S.H.); (A.D.); (S.T.); (H.M.); (Y.K.); (M.O.)
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Gao J, Lan J, Liao H, Yang F, Qiu P, Jin F, Wang S, Shen L, Chao T, Zhang C, Zhu Y. Promising preclinical patient-derived organoid (PDO) and xenograft (PDX) models in upper gastrointestinal cancers: progress and challenges. BMC Cancer 2023; 23:1205. [PMID: 38062430 PMCID: PMC10702130 DOI: 10.1186/s12885-023-11434-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 09/22/2023] [Indexed: 12/18/2023] Open
Abstract
Gastrointestinal (GI) cancers (gastric cancer, oesophageal cancer, liver cancer, colorectal cancer, etc.) are the most common cancers with the highest morbidity and mortality in the world. The therapy for most GI cancers is difficult and is associated with a poor prognosis. In China, upper GI cancers, mainly gastric cancer (GC) and oesophageal cancer (EC), are very common due to Chinese people's characteristics, and more than half of patients are diagnosed with distant metastatic or locally advanced disease. Compared to other solid cancers, such as lung cancer and breast cancer, personalized therapies, especially targeted therapy and immunotherapy, in GC and EC are relatively lacking, leading to poor prognosis. For a long time, most studies were carried out by using in vitro cancer cell lines or in vivo cell line-derived xenograft models, which are unable to reproduce the characteristics of tumours derived from patients, leading to the possible misguidance of subsequent clinical validation. The patient-derived models represented by patient-derived organoid (PDO) and xenograft (PDX) models, known for their high preservation of patient tumour features, have emerged as a very popular platform that has been widely used in numerous studies, especially in the research and development of antitumour drugs and personalized medicine. Herein, based on some of the available published literature, we review the research and application status of PDO and PDX models in GC and EC, as well as detail their future challenges and prospects, to promote their use in basic and translational studies or personalized therapy.
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Affiliation(s)
- Jing Gao
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Jianqiang Lan
- Guangdong Research Center of Organoid Engineering and Technology, No. 11 Kaiyuan Avenue, Huangpu District, Guangzhou, China
| | - Haiyan Liao
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Fang Yang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Pei Qiu
- Guangdong Research Center of Organoid Engineering and Technology, No. 11 Kaiyuan Avenue, Huangpu District, Guangzhou, China
| | - Feng Jin
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Shubin Wang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University- Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Lin Shen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Haidian District, Beijing, China
| | - Tengfei Chao
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Qiaokou District, Wuhan, China.
| | - Cheng Zhang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, No. 52 Fucheng Road, Haidian District, Beijing, China.
| | - Yu Zhu
- Guangdong Research Center of Organoid Engineering and Technology, No. 11 Kaiyuan Avenue, Huangpu District, Guangzhou, China.
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Zeng M, Ruan Z, Tang J, Liu M, Hu C, Fan P, Dai X. Generation, evolution, interfering factors, applications, and challenges of patient-derived xenograft models in immunodeficient mice. Cancer Cell Int 2023; 23:120. [PMID: 37344821 DOI: 10.1186/s12935-023-02953-3] [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: 03/09/2023] [Accepted: 05/24/2023] [Indexed: 06/23/2023] Open
Abstract
Establishing appropriate preclinical models is essential for cancer research. Evidence suggests that cancer is a highly heterogeneous disease. This follows the growing use of cancer models in cancer research to avoid these differences between xenograft tumor models and patient tumors. In recent years, a patient-derived xenograft (PDX) tumor model has been actively generated and applied, which preserves both cell-cell interactions and the microenvironment of tumors by directly transplanting cancer tissue from tumors into immunodeficient mice. In addition to this, the advent of alternative hosts, such as zebrafish hosts, or in vitro models (organoids and microfluidics), has also facilitated the advancement of cancer research. However, they still have a long way to go before they become reliable models. The development of immunodeficient mice has enabled PDX to become more mature and radiate new vitality. As one of the most reliable and standard preclinical models, the PDX model in immunodeficient mice (PDX-IM) exerts important effects in drug screening, biomarker development, personalized medicine, co-clinical trials, and immunotherapy. Here, we focus on the development procedures and application of PDX-IM in detail, summarize the implications that the evolution of immunodeficient mice has brought to PDX-IM, and cover the key issues in developing PDX-IM in preclinical studies.
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Affiliation(s)
- Mingtang Zeng
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zijing Ruan
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiaxi Tang
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Maozhu Liu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Chengji Hu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Ping Fan
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Xinhua Dai
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Pearce DR, Akarca AU, De Maeyer RPH, Kostina E, Huebner A, Sivakumar M, Karasaki T, Shah K, Janes SM, McGranahan N, Reddy V, Akbar AN, Moore DA, Marafioti T, Swanton C, Hynds RE. Phenotyping of lymphoproliferative tumours generated in xenografts of non-small cell lung cancer. Front Oncol 2023; 13:1156743. [PMID: 37342197 PMCID: PMC10277614 DOI: 10.3389/fonc.2023.1156743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/11/2023] [Indexed: 06/22/2023] Open
Abstract
Background Patient-derived xenograft (PDX) models involve the engraftment of tumour tissue in immunocompromised mice and represent an important pre-clinical oncology research method. A limitation of non-small cell lung cancer (NSCLC) PDX model derivation in NOD-scid IL2Rgammanull (NSG) mice is that a subset of initial engraftments are of lymphocytic, rather than tumour origin. Methods The immunophenotype of lymphoproliferations arising in the lung TRACERx PDX pipeline were characterised. To present the histology data herein, we developed a Python-based tool for generating patient-level pathology overview figures from whole-slide image files; PATHOverview is available on GitHub (https://github.com/EpiCENTR-Lab/PATHOverview). Results Lymphoproliferations occurred in 17.8% of lung adenocarcinoma and 10% of lung squamous cell carcinoma transplantations, despite none of these patients having a prior or subsequent clinical history of lymphoproliferative disease. Lymphoproliferations were predominantly human CD20+ B cells and had the immunophenotype expected for post-transplantation diffuse large B cell lymphoma with plasma cell features. All lymphoproliferations expressed Epstein-Barr-encoded RNAs (EBER). Analysis of immunoglobulin light chain gene rearrangements in three tumours where multiple tumour regions had resulted in lymphoproliferations suggested that each had independent clonal origins. Discussion Overall, these data suggest that B cell clones with lymphoproliferative potential are present within primary NSCLC tumours, and that these are under continuous immune surveillance. Since these cells can be expanded following transplantation into NSG mice, our data highlight the value of quality control measures to identify lymphoproliferations within xenograft pipelines and support the incorporation of strategies to minimise lymphoproliferations during the early stages of xenograft establishment pipelines.
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Affiliation(s)
- David R. Pearce
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Cancer Evolution and Genome Stability Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Ayse U. Akarca
- Department of Cellular Pathology, University College London Hospitals, London, United Kingdom
| | | | - Emily Kostina
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Ariana Huebner
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Cancer Evolution and Genome Stability Laboratory, The Francis Crick Institute, London, United Kingdom
- Cancer Genome Evolution Research Group, UCL Cancer Institute, University College London, London, United Kingdom
| | - Monica Sivakumar
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Department of Cellular Pathology, University College London Hospitals, London, United Kingdom
| | - Takahiro Karasaki
- Cancer Evolution and Genome Stability Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Kavina Shah
- Division of Medicine, University College London, London, United Kingdom
| | - Sam M. Janes
- Lungs for Living Research Centre, UCL Respiratory, Division of Medicine, University College London, London, United Kingdom
| | - Nicholas McGranahan
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Cancer Genome Evolution Research Group, UCL Cancer Institute, University College London, London, United Kingdom
| | - Venkat Reddy
- Division of Medicine, University College London, London, United Kingdom
| | - Arne N. Akbar
- Division of Medicine, University College London, London, United Kingdom
| | - David A. Moore
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Department of Cellular Pathology, University College London Hospitals, London, United Kingdom
| | - Teresa Marafioti
- Department of Cellular Pathology, University College London Hospitals, London, United Kingdom
| | - Charles Swanton
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Cancer Evolution and Genome Stability Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Robert E. Hynds
- Cancer Research UK (CRUK) Lung Cancer Centre of Excellence, UCL Cancer Institute, University College London, London, United Kingdom
- Cancer Evolution and Genome Stability Laboratory, The Francis Crick Institute, London, United Kingdom
- Epithelial Cell Biology in ENT Research (EpiCENTR) Group, Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
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Chen A, Neuwirth I, Herndler-Brandstetter D. Modeling the Tumor Microenvironment and Cancer Immunotherapy in Next-Generation Humanized Mice. Cancers (Basel) 2023; 15:2989. [PMID: 37296949 PMCID: PMC10251926 DOI: 10.3390/cancers15112989] [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: 03/13/2023] [Revised: 05/10/2023] [Accepted: 05/28/2023] [Indexed: 06/12/2023] Open
Abstract
Cancer immunotherapy has brought significant clinical benefits to numerous patients with malignant disease. However, only a fraction of patients experiences complete and durable responses to currently available immunotherapies. This highlights the need for more effective immunotherapies, combination treatments and predictive biomarkers. The molecular properties of a tumor, intratumor heterogeneity and the tumor immune microenvironment decisively shape tumor evolution, metastasis and therapy resistance and are therefore key targets for precision cancer medicine. Humanized mice that support the engraftment of patient-derived tumors and recapitulate the human tumor immune microenvironment of patients represent a promising preclinical model to address fundamental questions in precision immuno-oncology and cancer immunotherapy. In this review, we provide an overview of next-generation humanized mouse models suitable for the establishment and study of patient-derived tumors. Furthermore, we discuss the opportunities and challenges of modeling the tumor immune microenvironment and testing a variety of immunotherapeutic approaches using human immune system mouse models.
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Affiliation(s)
| | | | - Dietmar Herndler-Brandstetter
- Center for Cancer Research, Medical University of Vienna and Comprehensive Cancer Center, 1090 Vienna, Austria; (A.C.); (I.N.)
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Sahashi S, Shimada K, Takagi Y, Aoki T, Kunou S, Sakamoto A, Murase A, Furukawa K, Kagaya Y, Yamaga Y, Takai M, Tokuyama K, Shimada S, Nakamura S, Kiyoi H. Clinicopathological characteristics associated with the engraftment of patient lymphoma cells in NOG mice. Int J Hematol 2023:10.1007/s12185-023-03604-z. [PMID: 37129802 DOI: 10.1007/s12185-023-03604-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/14/2023] [Accepted: 04/16/2023] [Indexed: 05/03/2023]
Abstract
Patient-derived xenograft (PDX) mouse models are useful for deepening our understanding of the biology of malignant lymphoma; however, factors associated with the success of the PDX lymphoma model are largely unknown. We retrospectively analyzed the characteristics of 66 xenotransplantations from 65 patients. In all, 43 (65%) specimens were obtained from patients aged > 60 years, and 42 (64%) specimens were obtained at diagnosis. Specimens were obtained from patients with the following diseases: diffuse large B-cell lymphoma (n = 30), intravascular large B-cell lymphoma (n = 12), follicular lymphoma (n = 8), peripheral T-cell lymphoma (n = 7), mantle cell lymphoma (n = 2), and other (n = 7). The specimens were sourced mainly from bone marrow (n = 31, 47%) and extranodal tumors (n = 13, 20%). Engraftment was successful in 33/66 (50%) xenotransplantations. The median age of patients who provided successful specimens was significantly higher than that for unsuccessful specimens (p = 0.013). Specimens with a high proportion of tumor cells in the graft and those obtained from patients with relapsed/refractory disease showed higher tendencies toward successful engraftment. Taken together, these data suggest that tumor cells with a highly malignant potential might have a high likelihood of engraftment.
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Affiliation(s)
- Satomi Sahashi
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Kazuyuki Shimada
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan.
| | - Yusuke Takagi
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Tomohiro Aoki
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Shunsuke Kunou
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Akihiko Sakamoto
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Atsushi Murase
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Katsuya Furukawa
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Yusuke Kagaya
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Yusuke Yamaga
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Mika Takai
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Kiyonobu Tokuyama
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
| | - Satoko Shimada
- Department of Pathology and Clinical Laboratories, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Shigeo Nakamura
- Department of Pathology and Clinical Laboratories, Nagoya University Hospital, Nagoya, Aichi, Japan
| | - Hitoshi Kiyoi
- Department of Hematology and Oncology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Aichi, 466-8550, Japan
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8
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Jang E, Shin MK, Kim H, Lim JY, Lee JE, Park J, Kim J, Kim H, Shin Y, Son HY, Choi YY, Hyung WJ, Noh SH, Suh JS, Sung JY, Huh YM, Cheong JH. Clinical molecular subtyping reveals intrinsic mesenchymal reprogramming in gastric cancer cells. Exp Mol Med 2023:10.1038/s12276-023-00989-z. [PMID: 37121972 DOI: 10.1038/s12276-023-00989-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/31/2022] [Accepted: 02/14/2023] [Indexed: 05/02/2023] Open
Abstract
The mesenchymal cancer phenotype is known to be clinically related to treatment resistance and a poor prognosis. We identified gene signature-based molecular subtypes of gastric cancer (GC, n = 547) based on transcriptome data and validated their prognostic and predictive utility in multiple external cohorts. We subsequently examined their associations with tumor microenvironment (TME) features by employing cellular deconvolution methods and sequencing isolated GC populations. We further performed spatial transcriptomics analysis and immunohistochemistry, demonstrating the presence of GC cells in a partial epithelial-mesenchymal transition state. We performed network and pharmacogenomic database analyses to identify TGF-β signaling as a driver pathway and, thus, a therapeutic target. We further validated its expression in tumor cells in preclinical models and a single-cell dataset. Finally, we demonstrated that inhibition of TGF-β signaling negated mesenchymal/stem-like behavior and therapy resistance in GC cell lines and mouse xenograft models. In summary, we show that the mesenchymal GC phenotype could be driven by epithelial cancer cell-intrinsic TGF-β signaling and propose therapeutic strategies based on targeting the tumor-intrinsic mesenchymal reprogramming of medically intractable GC.
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Affiliation(s)
- Eunji Jang
- MediBio-Informatics Research Center, Novomics Co., Ltd., Seoul, Republic of Korea
| | - Min-Kyue Shin
- College of Medicine, Yonsei University, Seoul, Republic of Korea
- Department of Digital Health, Samsung Advanced Institute of Health Science and Technology, Seoul, Republic of Korea
| | - Hyunki Kim
- Department of Pathology, Yonsei University, Seoul, Republic of Korea
| | - Joo Yeon Lim
- Department of Surgery, Yonsei University, Seoul, Republic of Korea
| | - Jae Eun Lee
- Department of Surgery, Yonsei University, Seoul, Republic of Korea
| | - Jungmin Park
- Department of Radiology, Yonsei University, Seoul, Republic of Korea
| | - Jungeun Kim
- MediBio-Informatics Research Center, Novomics Co., Ltd., Seoul, Republic of Korea
| | - Hyeseon Kim
- MediBio-Informatics Research Center, Novomics Co., Ltd., Seoul, Republic of Korea
| | - Youngmin Shin
- Department of Radiology, Yonsei University, Seoul, Republic of Korea
| | - Hye-Young Son
- Department of Radiology, Yonsei University, Seoul, Republic of Korea
| | - Yoon Young Choi
- Department of Surgery, Yonsei University, Seoul, Republic of Korea
| | - Woo Jin Hyung
- Department of Surgery, Yonsei University, Seoul, Republic of Korea
| | - Sung Hoon Noh
- Department of Surgery, Yonsei University, Seoul, Republic of Korea
| | - Jin-Suck Suh
- Department of Radiology, Yonsei University, Seoul, Republic of Korea
| | - Ji-Yong Sung
- Department of Laboratory Medicine, Yonsei University College of Medicine, Seoul, Korea
- Department of Biomedical Systems Informatics, Yonsei University, Seoul, Republic of Korea
| | - Yong-Min Huh
- College of Medicine, Yonsei University, Seoul, Republic of Korea.
- Department of Radiology, Yonsei University, Seoul, Republic of Korea.
- YUHS-KRIBB Medical Convergence Research Institute, Seoul, Republic of Korea.
- Department of Biochemistry & Molecular Biology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
- Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Jae-Ho Cheong
- College of Medicine, Yonsei University, Seoul, Republic of Korea.
- Department of Surgery, Yonsei University, Seoul, Republic of Korea.
- Department of Biomedical Systems Informatics, Yonsei University, Seoul, Republic of Korea.
- Department of Biochemistry & Molecular Biology, College of Medicine, Yonsei University, Seoul, Republic of Korea.
- Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
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9
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Chen K, Xu J, Tong YL, Yan JF, Pan Y, Wang WJ, Zheng L, Zheng XX, Hu C, Hu X, Shen X, Chen W. Rab31 promotes metastasis and cisplatin resistance in stomach adenocarcinoma through Twist1-mediated EMT. Cell Death Dis 2023; 14:115. [PMID: 36781842 PMCID: PMC9925739 DOI: 10.1038/s41419-023-05596-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 01/14/2023] [Accepted: 01/16/2023] [Indexed: 02/15/2023]
Abstract
Stomach adenocarcinoma (STAD) is one of the leading causes of cancer-related death globally. Metastasis and drug resistance are two major causes of failures in current chemotherapy. Here, we found that the expression of Ras-related protein 31 (Rab31) is upregulated in human STAD tissues and high expression of Rab31 is closely associated with poor survival time. Furthermore, we revealed that Rab31 promotes cisplatin resistance and metastasis in human STAD cells. Reduced Rab31 expression induces tumor cell apoptosis and increases cisplatin sensitivity in STAD cells; Rab31 overexpression yielded the opposite result. Rab31 silencing prevented STAD cell migration, whereas the overexpression of Rab31 increased the metastatic potential. Further work showed that Rab31 mediates cisplatin resistance and metastasis via epithelial-mesenchymal transition (EMT) pathway. In addition, we found that both Rab31 overexpression and cisplatin treatment results in increased Twist1 expression. Depletion of Twist1 enhances sensitivity to cisplatin in STAD cells, which cannot be fully reversed by Rab31 overexpression. Rab31 could activate Twist1 by activating Stat3 and inhibiting Mucin 1 (MUC-1). The present study also demonstrates that Rab31 knockdown inhibited tumor growth in mice STAD models. These findings indicate that Rab31 is a novel and promising biomarker and potential therapeutic target for diagnosis, treatment and prognosis prediction in STAD patients. Our data not only identifies a novel Rab31/Stat3/MUC-1/Twist1/EMT pathway in STAD metastasis and drug resistance, but it also provides direction for the exploration of novel strategies to predict and treat STAD in the future.
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Affiliation(s)
- Ke Chen
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, Zhejiang Province, China
| | - Ji Xu
- Department of General Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, Zhejiang Province, China
| | - Yu-Ling Tong
- Department of General Practice, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, 310009, Zhejiang Province, China
| | - Jia-Fei Yan
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, Zhejiang Province, China
| | - Yu Pan
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, Zhejiang Province, China
| | - Wei-Jia Wang
- Department of Pharmacy, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, Zhejiang Province, China
| | - Li Zheng
- Cancer Institute of Integrated Traditional Chinese and Western Medicine, Key Laboratory of Cancer Prevention and Therapy Combining Traditional Chinese and Western Medicine of Zhejiang Province, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang Province, China
| | - Xiao-Xiao Zheng
- Cancer Institute of Integrated Traditional Chinese and Western Medicine, Key Laboratory of Cancer Prevention and Therapy Combining Traditional Chinese and Western Medicine of Zhejiang Province, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang Province, China
| | - Can Hu
- Department of Gastric Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310022, Zhejiang Province, China
| | - Xiu Hu
- Department of Pharmacy, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou, 310002, Zhejiang Province, China.
| | - Xian Shen
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, 325027, Zhejiang Province, China.
| | - Wei Chen
- Cancer Institute of Integrated Traditional Chinese and Western Medicine, Key Laboratory of Cancer Prevention and Therapy Combining Traditional Chinese and Western Medicine of Zhejiang Province, Zhejiang Academy of Traditional Chinese Medicine, Tongde Hospital of Zhejiang Province, Hangzhou, 310012, Zhejiang Province, China.
- Institute of Clinical Medicine Research, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang Province, China.
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10
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Londoño-Berrio M, Castro C, Cañas A, Ortiz I, Osorio M. Advances in Tumor Organoids for the Evaluation of Drugs: A Bibliographic Review. Pharmaceutics 2022; 14:pharmaceutics14122709. [PMID: 36559203 PMCID: PMC9784359 DOI: 10.3390/pharmaceutics14122709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/25/2022] [Accepted: 11/27/2022] [Indexed: 12/11/2022] Open
Abstract
Tumor organoids are defined as self-organized three-dimensional assemblies of heterogeneous cell types derived from patient samples that mimic the key histopathological, genetic, and phenotypic characteristics of the original tumor. This technology is proposed as an ideal candidate for the evaluation of possible therapies against cancer, presenting advantages over other models which are currently used. However, there are no reports in the literature that relate the techniques and material development of tumor organoids or that emphasize in the physicochemical and biological properties of materials that intent to biomimicry the tumor extracellular matrix. There is also little information regarding the tools to identify the correspondence of native tumors and tumoral organoids (tumoroids). Moreover, this paper relates the advantages of organoids compared to other models for drug evaluation. A growing interest in tumoral organoids has arisen from 2009 to the present, aimed at standardizing the process of obtaining organoids, which more accurately resemble patient-derived tumor tissue. Likewise, it was found that the characteristics to consider for the development of organoids, and therapeutic responses of them, are cell morphology, physiology, the interaction between cells, the composition of the cellular matrix, and the genetic, phenotypic, and epigenetic characteristics. Currently, organoids have been used for the evaluation of drugs for brain, lung, and colon tumors, among others. In the future, tumor organoids will become closer to being considered a better model for studying cancer in clinical practice, as they can accurately mimic the characteristics of tumors, in turn ensuring that the therapeutic response aligns with the clinical response of patients.
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Affiliation(s)
- Maritza Londoño-Berrio
- Systems Biology Research Group, Pontifical Bolivarian University (Universidad Pontificia Bolivariana), Carrera 78B No. 72a-109, Medellin 050034, Colombia
| | - Cristina Castro
- New Materials Research Group, School of Engineering, Pontifical Bolivarian University, Circular 1 No. 70-01, Medellin 050031, Colombia
| | - Ana Cañas
- Corporation for Biological Research, Medical, and Experimental Research Group, Carrera 72A # 78b-141, Medellin 050034, Colombia
| | - Isabel Ortiz
- Systems Biology Research Group, Pontifical Bolivarian University (Universidad Pontificia Bolivariana), Carrera 78B No. 72a-109, Medellin 050034, Colombia
| | - Marlon Osorio
- Systems Biology Research Group, Pontifical Bolivarian University (Universidad Pontificia Bolivariana), Carrera 78B No. 72a-109, Medellin 050034, Colombia
- New Materials Research Group, School of Engineering, Pontifical Bolivarian University, Circular 1 No. 70-01, Medellin 050031, Colombia
- Correspondence:
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11
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Jakša R, Karolová J, Svatoň M, Kazantsev D, Grajciarová M, Pokorná E, Tonar Z, Klánová M, Winkowska L, Maláriková D, Vočková P, Forsterová K, Renešová N, Dolníková A, Nožičková K, Dundr P, Froňková E, Trněný M, Klener P. Complex genetic and histopathological study of 15 patient-derived xenografts of aggressive lymphomas. J Transl Med 2022; 102:957-965. [PMID: 36775424 PMCID: PMC9420679 DOI: 10.1038/s41374-022-00784-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 11/14/2022] Open
Abstract
Non-Hodgkin lymphomas (NHL) represent the most common hematologic malignancies. Patient-derived xenografts (PDXs) are used for various aspects of translational research including preclinical in vivo validation of experimental treatment approaches. While it was repeatedly demonstrated that PDXs keep majority of somatic mutations with the primary lymphoma samples, from which they were derived, the composition of PDX tumor microenvironment (TME) has not been extensively studied. We carried out a comparative genetic and histopathological study of 15 PDX models derived from patients with various types of NHL including diffuse large B-cell lymphoma (DLBCL; n = 7), Burkitt lymphoma (BL; n = 1), mantle cell lymphoma (MCL; n = 2), and peripheral T-cell lymphomas (PTCL; n = 5). Whole exome sequencing (WES) of the PDXs and primary lymphoma cells was implemented in 13 out of 15 cases with available DNA samples. Standard immunohistochemistry (IHC) was used to analyze the composition of PDX TME. WES data confirmed that PDXs maintained the genetic heterogeneity with the original primary lymphoma cells. In contrast, IHC analysis revealed the following recurrently observed alterations in the composition of PDX tumors: more blastoid lymphoma cell morphology, increased proliferation rate, lack of non-malignant cellular components including T cells and (human or murine) macrophages, and significantly lower intratumoral microvessel density and microvessel area composed of murine vessels. In addition, PDX tumors derived from T-NHL displayed additional differences compared to the primary lymphoma samples including markedly lower desmoplasia (i.e., the extent of both reticular and collagen fibrosis), loss of expression of cytotoxic granules (i.e., perforin, TIA, granzyme B), or loss of expression of T-cell specific antigens (i.e., CD3, CD4, CD8). Our data suggest that despite keeping the same genetic profiles, PDX models of aggressive NHL do not recapitulate the microenvironmental heterogeneity of the original lymphomas. These findings have implications on the relevance of PDX models in the context of preclinical research.
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Affiliation(s)
- Radek Jakša
- Institute of Pathology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jana Karolová
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Michael Svatoň
- CLIP- Childhood Leukaemia Investigation Prague, Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Dmitry Kazantsev
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Martina Grajciarová
- Department of Histology and Embryology and Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Eva Pokorná
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Zbyněk Tonar
- Department of Histology and Embryology and Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Magdalena Klánová
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lucie Winkowska
- CLIP- Childhood Leukaemia Investigation Prague, Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Diana Maláriková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Petra Vočková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Kristina Forsterová
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Nicol Renešová
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Alexandra Dolníková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Kristýna Nožičková
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pavel Dundr
- Institute of Pathology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Eva Froňková
- CLIP- Childhood Leukaemia Investigation Prague, Department of Pediatric Haematology and Oncology, Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
| | - Marek Trněný
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pavel Klener
- Institute of Pathological Physiology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
- First Department of Medicine- Hematology, University General Hospital Prague and First Faculty of Medicine, Charles University, Prague, Czech Republic.
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12
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Zeng M, Pi C, Li K, Sheng L, Zuo Y, Yuan J, Zou Y, Zhang X, Zhao W, Lee RJ, Wei Y, Zhao L. Patient-Derived Xenograft: A More Standard "Avatar" Model in Preclinical Studies of Gastric Cancer. Front Oncol 2022; 12:898563. [PMID: 35664756 PMCID: PMC9161630 DOI: 10.3389/fonc.2022.898563] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/21/2022] [Indexed: 11/23/2022] Open
Abstract
Despite advances in diagnosis and treatment, gastric cancer remains the third most common cause of cancer-related death in humans. The establishment of relevant animal models of gastric cancer is critical for further research. Due to the complexity of the tumor microenvironment and the genetic heterogeneity of gastric cancer, the commonly used preclinical animal models fail to adequately represent clinically relevant models of gastric cancer. However, patient-derived models are able to replicate as much of the original inter-tumoral and intra-tumoral heterogeneity of gastric cancer as possible, reflecting the cellular interactions of the tumor microenvironment. In addition to implanting patient tissues or primary cells into immunodeficient mouse hosts for culture, the advent of alternative hosts such as humanized mouse hosts, zebrafish hosts, and in vitro culture modalities has also facilitated the advancement of gastric cancer research. This review highlights the current status, characteristics, interfering factors, and applications of patient-derived models that have emerged as more valuable preclinical tools for studying the progression and metastasis of gastric cancer.
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Affiliation(s)
- Mingtang Zeng
- Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, China.,Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
| | - Chao Pi
- Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, China.,Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
| | - Ke Li
- Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, China.,Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
| | - Lin Sheng
- Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, China.,Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
| | - Ying Zuo
- Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Department of Comprehensive Medicine, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Jiyuan Yuan
- Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Clinical Trial Center, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Yonggen Zou
- Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Department of Spinal Surgery, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Xiaomei Zhang
- Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, Institute of Medicinal Chemistry of Chinese Medicine, Chongqing Academy of Chinese MateriaMedica, Chongqing, China
| | - Wenmei Zhao
- Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, China.,Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
| | - Robert J Lee
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, United States
| | - Yumeng Wei
- Key Laboratory of Medical Electrophysiology, Ministry of Education, School of Pharmacy of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
| | - Ling Zhao
- Luzhou Key Laboratory of Traditional Chinese Medicine for Chronic Diseases Jointly Built by Sichuan and Chongqing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.,Central Nervous System Drug Key Laboratory of Sichuan Province, Southwest Medical University, Luzhou, China
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13
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Abdolahi S, Ghazvinian Z, Muhammadnejad S, Saleh M, Asadzadeh Aghdaei H, Baghaei K. Patient-derived xenograft (PDX) models, applications and challenges in cancer research. J Transl Med 2022; 20:206. [PMID: 35538576 PMCID: PMC9088152 DOI: 10.1186/s12967-022-03405-8] [Citation(s) in RCA: 97] [Impact Index Per Article: 48.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/24/2022] [Indexed: 12/12/2022] Open
Abstract
The establishing of the first cancer models created a new perspective on the identification and evaluation of new anti-cancer therapies in preclinical studies. Patient-derived xenograft models are created by tumor tissue engraftment. These models accurately represent the biology and heterogeneity of different cancers and recapitulate tumor microenvironment. These features have made it a reliable model along with the development of humanized models. Therefore, they are used in many studies, such as the development of anti-cancer drugs, co-clinical trials, personalized medicine, immunotherapy, and PDX biobanks. This review summarizes patient-derived xenograft models development procedures, drug development applications in various cancers, challenges and limitations.
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Affiliation(s)
- Shahrokh Abdolahi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zeinab Ghazvinian
- Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Samad Muhammadnejad
- Cell-Based Therapies Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahshid Saleh
- Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Asadzadeh Aghdaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kaveh Baghaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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14
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Patient-derived tumor models are attractive tools to repurpose drugs for ovarian cancer treatment: Pre-clinical updates. Oncotarget 2022; 13:553-575. [PMID: 35359749 PMCID: PMC8959092 DOI: 10.18632/oncotarget.28220] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 03/08/2022] [Indexed: 11/29/2022] Open
Abstract
Despite advances in understanding of ovarian cancer biology, the progress in translation of research findings into new therapies is still slow. It is associated in part with limitations of commonly used cancer models such as cell lines and genetically engineered mouse models that lack proper representation of diversity and complexity of actual human tumors. In addition, the development of de novo anticancer drugs is a lengthy and expensive process. A promising alternative to new drug development is repurposing existing FDA-approved drugs without primary oncological purpose. These approved agents have known pharmacokinetics, pharmacodynamics, and toxicology and could be approved as anticancer drugs quicker and at lower cost. To successfully translate repurposed drugs to clinical application, an intermediate step of pre-clinical animal studies is required. To address challenges associated with reliability of tumor models for pre-clinical studies, there has been an increase in development of patient-derived xenografts (PDXs), which retain key characteristics of the original patient’s tumor, including histologic, biologic, and genetic features. The expansion and utilization of clinically and molecularly annotated PDX models derived from different ovarian cancer subtypes could substantially aid development of new therapies or rapid approval of repurposed drugs to improve treatment options for ovarian cancer patients.
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15
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Multicellular Modelling of Difficult-to-Treat Gastrointestinal Cancers: Current Possibilities and Challenges. Int J Mol Sci 2022; 23:ijms23063147. [PMID: 35328567 PMCID: PMC8955095 DOI: 10.3390/ijms23063147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/11/2022] [Accepted: 03/13/2022] [Indexed: 11/16/2022] Open
Abstract
Cancers affecting the gastrointestinal system are highly prevalent and their incidence is still increasing. Among them, gastric and pancreatic cancers have a dismal prognosis (survival of 5–20%) and are defined as difficult-to-treat cancers. This reflects the urge for novel therapeutic targets and aims for personalised therapies. As a prerequisite for identifying targets and test therapeutic interventions, the development of well-established, translational and reliable preclinical research models is instrumental. This review discusses the development, advantages and limitations of both patient-derived organoids (PDO) and patient-derived xenografts (PDX) for gastric and pancreatic ductal adenocarcinoma (PDAC). First and next generation multicellular PDO/PDX models are believed to faithfully generate a patient-specific avatar in a preclinical setting, opening novel therapeutic directions for these difficult-to-treat cancers. Excitingly, future opportunities such as PDO co-cultures with immune or stromal cells, organoid-on-a-chip models and humanised PDXs are the basis of a completely new area, offering close-to-human models. These tools can be exploited to understand cancer heterogeneity, which is indispensable to pave the way towards more tumour-specific therapies and, with that, better survival for patients.
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16
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Moy RH, Walch HS, Mattar M, Chatila WK, Molena D, Strong VE, Tang LH, Maron SB, Coit DG, Jones DR, Hechtman JF, Solit DB, Schultz N, de Stanchina E, Janjigian YY. Defining and Targeting Esophagogastric Cancer Genomic Subsets With Patient-Derived Xenografts. JCO Precis Oncol 2022; 6:e2100242. [PMID: 35138918 PMCID: PMC8865520 DOI: 10.1200/po.21.00242] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 10/26/2021] [Accepted: 12/23/2021] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Comprehensive genomic profiling has defined key oncogenic drivers and distinct molecular subtypes in esophagogastric cancer; however, the number of clinically actionable alterations remains limited. To establish preclinical models for testing genomically driven therapeutic strategies, we generated and characterized a large collection of esophagogastric cancer patient-derived xenografts (PDXs). MATERIALS AND METHODS We established a biobank of 98 esophagogastric cancer PDX models derived from primary tumors and metastases. Clinicopathologic features of each PDX and the corresponding patient sample were annotated, including stage at diagnosis, treatment history, histology, and biomarker profile. To identify oncogenic DNA alterations, we analyzed and compared targeted sequencing performed on PDX and parent tumor pairs. We conducted xenotrials in genomically defined models with oncogenic drivers. RESULTS From April 2010 to June 2019, we implanted 276 patient tumors, of which 98 successfully engrafted (35.5%). This collection is enriched for PDXs derived from patients with human epidermal growth factor receptor 2-positive esophagogastric adenocarcinoma (62 models, 63%), the majority of which were refractory to standard therapies including trastuzumab. Factors positively correlating with engraftment included advanced stage, metastatic origin, intestinal-type histology, and human epidermal growth factor receptor 2-positivity. Mutations in TP53 and alterations in receptor tyrosine kinases (ERBB2 and EGFR), RAS/PI3K pathway genes, cell-cycle mediators (CDKN2A and CCNE1), and CDH1 were the predominant oncogenic drivers, recapitulating clinical tumor sequencing. We observed antitumor activity with rational combination strategies in models established from treatment-refractory disease. CONCLUSION The Memorial Sloan Kettering Cancer Center PDX collection recapitulates the heterogeneity of esophagogastric cancer and is a powerful resource to investigate mechanisms driving tumor progression, identify predictive biomarkers, and develop therapeutic strategies for molecularly defined subsets of esophagogastric cancer.
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Affiliation(s)
- Ryan H. Moy
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
- Present address: Department of Medicine, Columbia University Medical Center, New York, NY
| | - Henry S. Walch
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marissa Mattar
- Antitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Walid K. Chatila
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Tri-Institutional Program in Computational Biology and Medicine, Weill Cornell Medical College, New York, NY
| | - Daniela Molena
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Vivian E. Strong
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Laura H. Tang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Steven B. Maron
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Daniel G. Coit
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David R. Jones
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jaclyn F. Hechtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David B. Solit
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nikolaus Schultz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Elisa de Stanchina
- Antitumor Assessment Core Facility, Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yelena Y. Janjigian
- Department of Medicine, Gastrointestinal Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medical College, New York, NY
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17
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Chen Q, Zhang J, Bao B, Zhang F, Zhou J. Large-Scale Gastric Cancer Susceptibility Gene Identification Based on Gradient Boosting Decision Tree. Front Mol Biosci 2022; 8:815243. [PMID: 35096975 PMCID: PMC8793069 DOI: 10.3389/fmolb.2021.815243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 12/06/2021] [Indexed: 01/21/2023] Open
Abstract
The early clinical symptoms of gastric cancer are not obvious, and metastasis may have occurred at the time of treatment. Poor prognosis is one of the important reasons for the high mortality of gastric cancer. Therefore, the identification of gastric cancer-related genes can be used as relevant markers for diagnosis and treatment to improve diagnosis precision and guide personalized treatment. In order to further reveal the pathogenesis of gastric cancer at the gene level, we proposed a method based on Gradient Boosting Decision Tree (GBDT) to identify the susceptible genes of gastric cancer through gene interaction network. Based on the known genes related to gastric cancer, we collected more genes which can interact with them and constructed a gene interaction network. Random Walk was used to extract network association of each gene and we used GBDT to identify the gastric cancer-related genes. To verify the AUC and AUPR of our algorithm, we implemented 10-fold cross-validation. GBDT achieved AUC as 0.89 and AUPR as 0.81. We selected four other methods to compare with GBDT and found GBDT performed best.
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Affiliation(s)
- Qing Chen
- Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ji Zhang
- Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Banghe Bao
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Zhang
- Wuhan Asia General Hospital, Wuhan, China
| | - Jie Zhou
- Department of Biochemistry and Molecular Biology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Jie Zhou,
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18
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Cybula M, Wang L, Wang L, Drumond-Bock AL, Moxley KM, Benbrook DM, Gunderson-Jackson C, Ruiz-Echevarria MJ, Bhattacharya R, Mukherjee P, Bieniasz M. Patient-Derived Xenografts of High-Grade Serous Ovarian Cancer Subtype as a Powerful Tool in Pre-Clinical Research. Cancers (Basel) 2021; 13:6288. [PMID: 34944908 PMCID: PMC8699796 DOI: 10.3390/cancers13246288] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 01/09/2023] Open
Abstract
(1) Background. PDX models have become the preferred tool in research laboratories seeking to improve development and pre-clinical testing of new drugs. PDXs have been shown to capture the cellular and molecular characteristics of human tumors better than simpler cell line-based models. More recently, however, hints that PDXs may change their characteristics over time have begun to emerge, emphasizing the need for comprehensive analysis of PDX evolution. (2) Methods. We established a panel of high-grade serous ovarian carcinoma (HGSOC) PDXs and developed and validated a 300-SNP signature that can be successfully utilized to assess genetic drift across PDX passages and detect PDX contamination with lymphoproliferative tissues. In addition, we performed a detailed histological characterization and functional assessment of multiple PDX passages. (3) Results. Our data show that the PDXs remain largely stable throughout propagation, with marginal genetic drift at the time of PDX initiation and adaptation to mouse host. Importantly, our PDX lines retained the major histological characteristics of the original patients' tumors even after multiple passages in mice, demonstrating a strong concordance with the clinical responses of their corresponding patients. (4) Conclusions. Our data underline the value of defined HGSOC PDXs as a pre-clinical tumor model.
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Affiliation(s)
- Magdalena Cybula
- Aging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; (M.C.); (L.W.); (L.W.); (A.L.D.-B.)
| | - Lin Wang
- Aging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; (M.C.); (L.W.); (L.W.); (A.L.D.-B.)
| | - Luyao Wang
- Aging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; (M.C.); (L.W.); (L.W.); (A.L.D.-B.)
| | - Ana Luiza Drumond-Bock
- Aging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; (M.C.); (L.W.); (L.W.); (A.L.D.-B.)
| | - Katherine M. Moxley
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA; (K.M.M.); (D.M.B.); (C.G.-J.); (R.B.); (P.M.)
| | - Doris M. Benbrook
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA; (K.M.M.); (D.M.B.); (C.G.-J.); (R.B.); (P.M.)
| | - Camille Gunderson-Jackson
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA; (K.M.M.); (D.M.B.); (C.G.-J.); (R.B.); (P.M.)
| | - Maria J. Ruiz-Echevarria
- Department of Pathology, Department of Medicine, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA;
| | - Resham Bhattacharya
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA; (K.M.M.); (D.M.B.); (C.G.-J.); (R.B.); (P.M.)
| | - Priyabrata Mukherjee
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA; (K.M.M.); (D.M.B.); (C.G.-J.); (R.B.); (P.M.)
| | - Magdalena Bieniasz
- Aging and Metabolism Program, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA; (M.C.); (L.W.); (L.W.); (A.L.D.-B.)
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19
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Kiblitskaya AA, Goncharova AS, Anisimov AE, Snezhko AV, Dimitriadi SN, Maslov AA, Gevorkyan YA, Kolesnikov EN. Antitumor effect of radiation therapy on orthotopic PDX models of human esophageal adenocarcinoma. BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY 2021. [DOI: 10.24075/brsmu.2021.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
As a rule, esophageal adenocarcinoma develops in the lower esophagus. Life expectancy and survival rates depend on the cancer stage and the general health of the patient. Chemoradiotherapy is the most successful treatment approach to this type of cancer. The choice of optimal radiation doses for achieving the best possible therapeutic effect is still a challenge. The aim of this paper was to study effective radiation doses and assess response of human esophageal adenocarcinoma to radiation using a PDX model. The study was conducted in female Balb/c nude mice (n = 25). Fragments of the donor tumor were implanted into the cervical esophagus of immunodeficient mice. Effects of radiation on the obtained orthotopic xenografts were studied after each of 3 irradiation sessions (4, 6, 8, and 10 Gy in each of the experimental groups, respectively). First-passage xenografts reproduced the morphology of the donor tumor. The mean tumor volume differed significantly between the control group and the experimental groups exposed to 6, 8 or 10 Gy (р ≤ 0.01) after each irradiation session. Tumor growth delay was significant after exposure to the total dose of 18 Gy. The further radiation dose increase was ineffective. The reduction of tumor volume in the xenografts was correlated to the increase in the one-time radiation dose. The total dose over 18 Gy produced a detrimental effect on the hematopoietic system and blood biochemistry of the experimental mice.
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Affiliation(s)
- AA Kiblitskaya
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AS Goncharova
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AE Anisimov
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AV Snezhko
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - SN Dimitriadi
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - AA Maslov
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - YA Gevorkyan
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
| | - EN Kolesnikov
- National Medical Research Center for Oncology, Rostov-on-Don, Russia
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20
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Molecular Targets for Gastric Cancer Treatment and Future Perspectives from a Clinical and Translational Point of View. Cancers (Basel) 2021; 13:cancers13205216. [PMID: 34680363 PMCID: PMC8533881 DOI: 10.3390/cancers13205216] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/05/2021] [Accepted: 10/13/2021] [Indexed: 12/11/2022] Open
Abstract
Gastric cancer is a leading cause of cancer death worldwide. Systemic treatment comprising chemotherapy and targeted therapy is the standard of care in advanced/metastatic gastric cancer. Comprehensive molecular characterization of gastric adenocarcinomas by the TCGA Consortium and ACRG has resulted in the definition of distinct molecular subtypes. These efforts have in parallel built a basis for the development of novel molecularly stratified treatment approaches. Based on this molecular characterization, an increasing number of specific genomic alterations can potentially serve as treatment targets. Consequently, the development of promising compounds is ongoing. In this review, key molecular alterations in gastric and gastroesophageal junction cancers will be addressed. Finally, the current status of the translation of targeted therapy towards clinical applications will be reviewed.
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21
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Venkatasamy A, Guerin E, Blanchet A, Orvain C, Devignot V, Jung M, Jung AC, Chenard MP, Romain B, Gaiddon C, Mellitzer G. Ultrasound and Transcriptomics Identify a Differential Impact of Cisplatin and Histone Deacetylation on Tumor Structure and Microenvironment in a Patient-Derived In Vivo Model of Gastric Cancer. Pharmaceutics 2021; 13:pharmaceutics13091485. [PMID: 34575561 PMCID: PMC8467189 DOI: 10.3390/pharmaceutics13091485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 01/06/2023] Open
Abstract
The reasons behind the poor efficacy of transition metal-based chemotherapies (e.g., cisplatin) or targeted therapies (e.g., histone deacetylase inhibitors, HDACi) on gastric cancer (GC) remain elusive and recent studies suggested that the tumor microenvironment could contribute to the resistance. Hence, our objective was to gain information on the impact of cisplatin and the pan-HDACi SAHA (suberanilohydroxamic acid) on the tumor substructure and microenvironment of GC, by establishing patient-derived xenografts of GC and a combination of ultrasound, immunohistochemistry, and transcriptomics to analyze. The tumors responded partially to SAHA and cisplatin. An ultrasound gave more accurate tumor measures than a caliper. Importantly, an ultrasound allowed a noninvasive real-time access to the tumor substructure, showing differences between cisplatin and SAHA. These differences were confirmed by immunohistochemistry and transcriptomic analyses of the tumor microenvironment, identifying specific cell type signatures and transcription factor activation. For instance, cisplatin induced an "epithelial cell like" signature while SAHA favored a "mesenchymal cell like" one. Altogether, an ultrasound allowed a precise follow-up of the tumor progression while enabling a noninvasive real-time access to the tumor substructure. Combined with transcriptomics, our results underline the different intra-tumoral structural changes caused by both drugs that impact differently on the tumor microenvironment.
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Affiliation(s)
- Aina Venkatasamy
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- IHU-Strasbourg (Institut Hospitalo-Universitaire), 67091 Strasbourg, France
| | - Eric Guerin
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Anais Blanchet
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Christophe Orvain
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | - Véronique Devignot
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
| | | | - Alain C. Jung
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- Laboratoire de Biologie Tumorale, ICANS, 67200 Strasbourg, France
| | - Marie-Pierre Chenard
- Pathology Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France;
| | - Benoit Romain
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- Digestive Surgery Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
| | - Christian Gaiddon
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- Correspondence: (C.G.); (G.M.)
| | - Georg Mellitzer
- Streinth Lab (Stress Response and Innovative Therapies), Strasbourg University, Inserm UMR_S 1113 IRFAC (Interface Recherche Fondamental et Appliquée à la Cancérologie), 67200 Strasbourg, France; (A.V.); (E.G.); (A.B.); (C.O.); (V.D.); (A.C.J.); (B.R.)
- Correspondence: (C.G.); (G.M.)
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22
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Zhuo J, Lu D, Wang J, Lian Z, Zhang J, Li H, Cen B, Wei X, Wei Q, Xie H, Xu X. Molecular phenotypes reveal heterogeneous engraftments of patient-derived hepatocellular carcinoma xenografts. Chin J Cancer Res 2021; 33:470-479. [PMID: 34584372 PMCID: PMC8435819 DOI: 10.21147/j.issn.1000-9604.2021.04.04] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 07/20/2021] [Indexed: 12/21/2022] Open
Abstract
Objective Patient-derived xenograft (PDX) models provide a promising preclinical platform for hepatocellular carcinoma (HCC). However, the molecular features associated with successful engraftment of PDX models have not been revealed. Methods HCC tumor samples from 76 patients were implanted in immunodeficient mice. The molecular expression was evaluated by immunohistochemistry. Patient and tumor characteristics as well as tumor molecular expressions were compared for PDX engraftment using the Chi-square test. The independent prediction parameters were identified by logistic regression analyses. Results The engraftment rate for PDX models from patients with HCC was 39.47% (30/76). Tumors from younger patients and patients with elevated preoperative alpha-fetoprotein level had higher engraftment rates. Tumors with poor differentiation and vascular invasion were related to engraftment success. The positive expression of CK19, CD133, glypican-3 (GPC3), and Ki67 in tumor samples was associated with engraftment success. Logistic regression analyses indicated that GPC3 and Ki67 were two of the strongest predictors of PDX engraftment. Tumors with GPC3/Ki67 phenotypes showed heterogeneous engraftment rates, with 71.9% in GPC3+/Ki67+ tumors, 30.8% in GPC3−/Ki67+ tumors, 15.0% in GPC3+/Ki67− tumors, and 0 in GPC3−/Ki67− tumors.
Conclusions Successful engraftment of HCC PDXs was significantly related to molecular features. Tumors with the GPC3+/Ki67+ phenotype were the most likely to successfully establish HCC PDXs.
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Affiliation(s)
- Jianyong Zhuo
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.,Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.,National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
| | - Di Lu
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jianguo Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Zhengxing Lian
- National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
| | - Jiali Zhang
- National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
| | - Huihui Li
- National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
| | - Beini Cen
- National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
| | - Xuyong Wei
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Qiang Wei
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Haiyang Xie
- National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
| | - Xiao Xu
- Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.,Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.,National Health Commission Key Laboratory of Combined Multi-organ Transplantation; Institute of Organ Transplantation, Zhejiang University, Hangzhou 310003, China
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23
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Tanaka T, Nishie R, Ueda S, Miyamoto S, Hashida S, Konishi H, Terada S, Kogata Y, Sasaki H, Tsunetoh S, Taniguchi K, Komura K, Ohmichi M. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review. Int J Mol Sci 2021; 22:9369. [PMID: 34502278 PMCID: PMC8431521 DOI: 10.3390/ijms22179369] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 08/19/2021] [Accepted: 08/22/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Patient-derived xenograft (PDX) models have been a focus of attention because they closely resemble the tumor features of patients and retain the molecular and histological features of diseases. They are promising tools for translational research. In the current systematic review, we identify publications on PDX models of cervical cancer (CC-PDX) with descriptions of main methodological characteristics and outcomes to identify the most suitable method for CC-PDX. METHODS We searched on PubMed to identify articles reporting CC-PDX. Briefly, the main inclusion criterion for papers was description of PDX created with fragments obtained from human cervical cancer specimens, and the exclusion criterion was the creation of xenograft with established cell lines. RESULTS After the search process, 10 studies were found and included in the systematic review. Among 98 donor patients, 61 CC-PDX were established, and the overall success rate was 62.2%. The success rate in each article ranged from 0% to 75% and was higher when using severe immunodeficient mice such as severe combined immunodeficient (SCID), nonobese diabetic (NOD) SCID, and NOD SCID gamma (NSG) mice than nude mice. Subrenal capsule implantation led to a higher engraftment rate than orthotopic and subcutaneous implantation. Fragments with a size of 1-3 mm3 were suitable for CC-PDX. No relationship was found between the engraftment rate and characteristics of the tumor and donor patient, including histology, staging, and metastasis. The latency period varied from 10 days to 12 months. Most studies showed a strong similarity in pathological and immunohistochemical features between the original tumor and the PDX model. CONCLUSION Severe immunodeficient mice and subrenal capsule implantation led to a higher engraftment rate; however, orthotopic and subcutaneous implantation were alternatives. When using nude mice, subrenal implantation may be better. Fragments with a size of 1-3 mm3 were suitable for CC-PDX. Few reports have been published about CC-PDX; the results were not confirmed because of the small sample size.
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Affiliation(s)
- Tomohito Tanaka
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
- Translational Research Program, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (K.T.); (K.K.)
| | - Ruri Nishie
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Shoko Ueda
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Shunsuke Miyamoto
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Sousuke Hashida
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Hiromi Konishi
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Shinichi Terada
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Yuhei Kogata
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Hiroshi Sasaki
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Satoshi Tsunetoh
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
| | - Kohei Taniguchi
- Translational Research Program, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (K.T.); (K.K.)
| | - Kazumasa Komura
- Translational Research Program, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (K.T.); (K.K.)
| | - Masahide Ohmichi
- Department of Obstetrics and Gynecology, Educational Foundation of Osaka Medical and Pharmaceutical University, 2-7 Daigakumachi, Takatsuki, Osaka 569-8686, Japan; (R.N.); (S.U.); (S.M.); (S.H.); (H.K.); (S.T.); (Y.K.); (H.S.); (S.T.); (M.O.)
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Advanced Xenograft Model with Cotransplantation of Patient-Derived Organoids and Endothelial Colony-Forming Cells for Precision Medicine. JOURNAL OF ONCOLOGY 2021; 2021:9994535. [PMID: 34335765 PMCID: PMC8294990 DOI: 10.1155/2021/9994535] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 07/02/2021] [Indexed: 12/22/2022]
Abstract
Preclinical evaluation models have been developed for precision medicine, with patient-derived xenograft models (PDXs) and patient-derived organoids (PDOs) attracting increasing attention. However, each of these models has application limitations. In this study, an advanced xenograft model was established and used for drug screening. PDO and endothelial colony-forming cells (ECFCs) were cotransplanted in NRGA mice (PDOXwE) to prepare the model, which could also be subcultured in Balb/c nude mice. Our DNA sequencing analysis and immunohistochemistry results indicated that PDOXwE maintained patient genetic information and tumor heterogeneity. Moreover, the model enhanced tumor growth more than the PDO-bearing xenograft model (PDOX). The PDO, PDOXwE, and clinical data were also compared in the liver metastasis of a colorectal cancer patient, demonstrating that the chemosensitivity of PDO and PDOXwE coincided with the clinical data. These results suggest that PDOXwE is an improvement of PDOX and is suitable as an evaluation model for precision medicine.
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Abstract
Overcoming the challenges of understanding and treating cancer requires reliable patient-derived models of cancer (PDMCs). For decades, cancer research and therapeutic development relied primarily on cancer cell lines because of their prevalence, reproducibility, and simplicity to maintain. However, findings from research conducted in cell lines are rarely recapitulated in vivo and seldom directly translatable to patients. The tumor microenvironment (TME), tumor-stromal interactions, and associations with host immune cells produce profound changes in tumor phenotype and complexity not captured in traditional monolayer cell culture. In this chapter, we present various cancer explant models and discuss their applicability based on specific research aims. We discuss the appropriateness of these models for basic science questions, drug screening/development, and for personalized, precision medicine. We also consider logistical factors such as resource cost, technical difficulty, and accessibility. We finish this chapter with a practical guide intended to help the reader select the cancer explant model system(s) that best address their research aims.
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Establishment of a Patient-Derived Xenograft Model of Colorectal Cancer in CIEA NOG Mice and Exploring Smartfish Liquid Diet as a Source of Omega-3 Fatty Acids. Biomedicines 2021; 9:biomedicines9030282. [PMID: 33802022 PMCID: PMC8000445 DOI: 10.3390/biomedicines9030282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/20/2021] [Accepted: 03/07/2021] [Indexed: 01/10/2023] Open
Abstract
Cancer patient-derived xenografts (PDXs) better preserve tumor characteristics and microenvironment than traditional cancer cell line derived xenografts and are becoming a valuable model in translational cancer research and personalized medicine. We have established a PDX model for colorectal cancer (CRC) in CIEA NOG mice with a 50% engraftment rate. Tumor fragments from patients with CRC (n = 5) were engrafted in four mice per tumor (n = 20). Mice with established PDXs received a liquid diet enriched with fish oil or placebo, and fatty acid profiling was performed to measure fatty acid content in whole blood. Moreover, a biobank consisting of tissue and blood samples from patients was established. Histology, immunohistochemistry and in situ hybridization procedures were used for staining of tumor and xenograft tissue slides. Results demonstrate that key histological characteristics of the patients’ tumors were retained in the established PDXs, and the liquid diets were consumed as intended by the mice. Some of the older mice developed lymphomas that originated from human Ki67+, CD45+, and EBV+ lymphoid cells. We present a detailed description of the process and methodology, as well as possible issues that may arise, to refine the method and improve PDX engraftment rate for future studies. The established PDX model for CRC can be used for exploring different cancer treatment regimes, and liquid diets enriched with fish oil may be successfully delivered to the mice through the drinking flasks.
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Wang Q, Chen X, Jiang Y, Liu S, Liu H, Sun X, Zhang H, Liu Z, Tao Y, Li C, Hu Y, Liu D, Ye D, Liu Y, Wang M, Zhang X. Elevating H3K27me3 level sensitizes colorectal cancer to oxaliplatin. J Mol Cell Biol 2021; 12:125-137. [PMID: 31065671 PMCID: PMC7109602 DOI: 10.1093/jmcb/mjz032] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 02/13/2019] [Accepted: 03/05/2019] [Indexed: 12/18/2022] Open
Abstract
Histone methylation is a context-dependent modification that regulates gene expression, and the trimethylation of histone H3 lysine 27 (H3K27me3) usually induces gene silencing. Overcoming colorectal cancer (CRC) chemoresistance is currently a huge challenge, but the relationship between H3K27me3 modification and chemoresistance remains largely unclear. Here, we found that H3K27me3 levels positively correlated with the metastasis-free survival of CRC patients and a low H3K27me3 level predicted a poor outcome upon chemotherapeutic drug treatment. Oxaliplatin stimulation significantly induced the expression of H3K27 lysine demethylase 6A/6B (KDM6A/6B), thus decreasing the level of H3K27me3 in CRC cells. Elevation of H3K27me3 level through KDM6A/6B depletion or GSK-J4 (a KDM6A/6B inhibitor) treatment significantly enhanced oxaliplatin-induced apoptosis. Conversely, when inhibiting the expression of H3K27me3 by EPZ-6438, an inhibitor of the histone methyltransferase EZH2, the proportion of apoptotic cells remarkably decreased. In addition, the combination of GSK-J4 and oxaliplatin significantly inhibited tumor growth in an oxaliplatin-resistant patient-derived xenograft model. Importantly, we revealed that oxaliplatin treatment dramatically induced NOTCH2 expression, which was caused by downregulation of H3K27me3 level on the NOTCH2 transcription initiation site. Thus, the activated NOTCH signaling promoted the expression of stemness-related genes, which resulted in oxaliplatin resistance. Furthermore, oxaliplatin-induced NOTCH signaling could be interrupted by GSK-J4 treatment. Collectively, our findings suggest that elevating H3K27me3 level can improve drug sensitivity in CRC patients.
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Affiliation(s)
- Qi Wang
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Xi Chen
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Yuhang Jiang
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Sanhong Liu
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China.,Affiliated Cancer Hospital & Institute, Guangzhou Medical University, Guangzhou 510000, 195 Dongfeng West Road, Guangzhou, China.,Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, 393 Huaxia Middle Road, Shanghai, China
| | - Hanshao Liu
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China.,Affiliated Cancer Hospital & Institute, Guangzhou Medical University, Guangzhou 510000, 195 Dongfeng West Road, Guangzhou, China
| | - Xiaohua Sun
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Haohao Zhang
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Zhi Liu
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Yu Tao
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Cuifeng Li
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Yiming Hu
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Dandan Liu
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Deji Ye
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China
| | - Yongzhong Liu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, Ruijin 2nd Road, Shanghai, China
| | - Mingliang Wang
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, Ruijin 2nd Road, Shanghai, China
| | - Xiaoren Zhang
- The Key Laboratory of Stem Cell Biology, Shanghai Jiao Tong University School of Medicine & Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200025, 227 Chongqing South Road, Shanghai, China.,Affiliated Cancer Hospital & Institute, Guangzhou Medical University, Guangzhou 510000, 195 Dongfeng West Road, Guangzhou, China
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28
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Patient-derived tumour models for personalized therapeutics in urological cancers. Nat Rev Urol 2020; 18:33-45. [PMID: 33173206 DOI: 10.1038/s41585-020-00389-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2020] [Indexed: 12/24/2022]
Abstract
Preclinical knowledge of dysregulated pathways and potential biomarkers for urological cancers has undergone limited translation into the clinic. Moreover, the low approval rate of new anticancer drugs and the heterogeneous drug responses in patients indicate that current preclinical models do not always reflect the complexity of malignant disease. Patient-derived tumour models used in preclinical uro-oncology research include 3D culture systems, organotypic tissue slices and patient-derived xenograft models. Technological innovations have enabled major improvements in the capacity of these tumour models to reproduce the clinical complexity of urological cancers. Each type of patient-derived model has inherent advantages and limitations that can be exploited, either alone or in combination, to gather specific knowledge on clinical challenges and address unmet clinical needs. Nevertheless, few opportunities exist for patients with urological cancers to benefit from personalized therapeutic approaches. Clinical validation of experimental data is needed to facilitate the translation and implementation of preclinical knowledge into treatment decision making.
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29
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Xie F, Sun L, Pang Y, Xu G, Jin B, Xu H, Lu X, Xu Y, Du S, Wang Y, Feng S, Sang X, Zhong S, Wang X, Sun W, Zhao H, Zhang H, Yang H, Huang P, Mao Y. Three-dimensional bio-printing of primary human hepatocellular carcinoma for personalized medicine. Biomaterials 2020; 265:120416. [PMID: 33007612 DOI: 10.1016/j.biomaterials.2020.120416] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 08/30/2020] [Accepted: 09/19/2020] [Indexed: 02/06/2023]
Abstract
Hepatocellular carcinoma (HCC) is one of the most lethal tumors worldwide. This study aims to address the lack of faithful and available in vitro models for patient-specific drug screening for HCC. We recently established a novel modeling system using three-dimensional (3D) bioprinting technology and constructed hepatorganoids with HepaRG cells, which retain the liver function and prolong the survival of mice with liver failure after abdominal transplantation. Here we extend this modeling system to establish individualized model for hepatocellular carcinoma. HCC specimens were obtained from six patients after surgery. Primary HCC cells were isolated and mixed with gelatin and sodium alginate to form the bioink for printing. Patient-derived three-dimensional bio-printed HCC (3DP-HCC) models were successfully established afterward and grew well during long-term culture. These models retained the features of parental HCCs, including stable expression of the biomarker, stable maintenances of the genetic alterations and expression profiles. 3DP-HCC models are capable of displaying the results of drug screening intuitively and quantitatively. In conclusion, 3DP-HCC models are faithful in vitro models that are reliable in long-term culture and able to predict patient-specific drugs for personalized treatment.
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Affiliation(s)
- Feihu Xie
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Lejia Sun
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Yuan Pang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China; Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China; Overseas Expertise Introduction Center for Discipline Innovation, Tsinghua University, Beijing, 100084, China
| | - Gang Xu
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Bao Jin
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Haifeng Xu
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Xin Lu
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Yiyao Xu
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Shunda Du
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Yanan Wang
- State Key Laboratory of Medical Molecular Biology, Department of Physiology, Institute of Basic Medical Sciences, PUMC & CAMS, Beijing, 100005, China
| | - Shi Feng
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Xinting Sang
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Shouxian Zhong
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Xin Wang
- Research Center for Laboratory Animal Science, Inner Mongolia University, Huhhot, 010021, China; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA; Hepatoscience Section, Cell Lab Tech Inc., Sunnyvale, CA, 94085, USA
| | - Wei Sun
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China; Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China; Overseas Expertise Introduction Center for Discipline Innovation, Tsinghua University, Beijing, 100084, China; Department of Mechanical Engineering, Drexel University, Philadelphia, PA, 19104, USA
| | - Haitao Zhao
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China
| | - Hongbing Zhang
- State Key Laboratory of Medical Molecular Biology, Department of Physiology, Institute of Basic Medical Sciences, PUMC & CAMS, Beijing, 100005, China
| | - Huayu Yang
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
| | - Pengyu Huang
- School of Life Science and Technology, Shanghai Tech University, Shanghai, 201210, China; CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Yilei Mao
- Department of Liver Surgery, Peking Union Medical College (PUMC) Hospital, PUMC & Chinese Academy of Medical Sciences (CAMS), Beijing, 100730, China.
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30
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Peille AL, Vuaroqueaux V, Wong SS, Ting J, Klingner K, Zeitouni B, Landesfeind M, Kim WH, Lee HJ, Kong SH, Wulur I, Bray S, Bronsert P, Zanella N, Donoho G, Yang HK, Fiebig HH, Reinhard C, Aggarwal A. Evaluation of molecular subtypes and clonal selection during establishment of patient-derived tumor xenografts from gastric adenocarcinoma. Commun Biol 2020; 3:367. [PMID: 32647357 PMCID: PMC7347869 DOI: 10.1038/s42003-020-1077-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 06/02/2020] [Indexed: 11/09/2022] Open
Abstract
Patient-derived xenografts (PDX) have emerged as an important translational research tool for understanding tumor biology and enabling drug efficacy testing. They are established by transfer of patient tumor into immune compromised mice with the intent of using them as Avatars; operating under the assumption that they closely resemble patient tumors. In this study, we established 27 PDX from 100 resected gastric cancers and studied their fidelity in histological and molecular subtypes. We show that the established PDX preserved histology and molecular subtypes of parental tumors. However, in depth investigation of the entire cohort revealed that not all histological and molecular subtypes are established. Also, for the established PDX models, genetic changes are selected at early passages and rare subclones can emerge in PDX. This study highlights the importance of considering the molecular and evolutionary characteristics of PDX for a proper use of such models, particularly for Avatar trials.
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Affiliation(s)
- Anne-Lise Peille
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany
- 4HF Biotec GmbH, Am Flughafen 14, Freiburg, 79108, Germany
| | - Vincent Vuaroqueaux
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany
- 4HF Biotec GmbH, Am Flughafen 14, Freiburg, 79108, Germany
| | - Swee-Seong Wong
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA
- LifeOmic, 351 W 10th St, Indianapolis, IN, USA
| | - Jason Ting
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA
| | - Kerstin Klingner
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany
| | - Bruno Zeitouni
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany
| | - Manuel Landesfeind
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany
- Evotec International GmbH, Marie-Curie-Strasse, 37079, Göttingen, Germany
| | - Woo Ho Kim
- Department of Pathology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Hyuk-Joon Lee
- Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Seong-Ho Kong
- Department of Surgery, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Isabella Wulur
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA
| | - Steven Bray
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA
- LifeOmic, 351 W 10th St, Indianapolis, IN, USA
| | - Peter Bronsert
- Institute for Surgical Pathology, Medical Center-University of Freiburg, Freiburg, Germany
- Comprehensive Cancer Center Freiburg, Medical Center-University of Freiburg, Freiburg, Germany
- Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Nina Zanella
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany
| | - Greg Donoho
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA
| | - Han-Kwang Yang
- Department of Surgery and Cancer Research Institute, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, Korea
| | - Heinz-Herbert Fiebig
- Charles River Discovery Research Services Germany GmbH (formerly Oncotest GmbH), Am Flughafen 12-14, 79108, Freiburg, Germany.
- 4HF Biotec GmbH, Am Flughafen 14, Freiburg, 79108, Germany.
| | - Christoph Reinhard
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA.
| | - Amit Aggarwal
- Lilly Research Labs, Eli Lilly and Company, Indianapolis, IN, 46285, USA.
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Destabilization of β-catenin and RAS by targeting the Wnt/β-catenin pathway as a potential treatment for triple-negative breast cancer. Exp Mol Med 2020; 52:832-842. [PMID: 32457491 PMCID: PMC7272395 DOI: 10.1038/s12276-020-0440-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/03/2020] [Accepted: 04/07/2020] [Indexed: 12/17/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is a severe and heterogeneous disease that lacks an approved targeted therapy and has a poor clinical outcome to chemotherapy. Although the RAS-ERK signaling axis is rarely mutated in TNBC, ~50% of TNBCs show an increased copy number and overexpression of epidermal growth factor receptor (EGFR). However, EGFR-targeted therapies have offered no improvement in patient survival, underscoring the need to explore downstream targets, including RAS. We found that both β-catenin and RAS, as well as epidermal growth factor receptor (EGFR), are overexpressed and correlated with one another in tumor tissues of TNBC patients. KYA1797K, an Axin-binding small molecule reducing β-catenin and RAS expression via degradation and suppressing EGFR expression via transcriptional repression, inhibited the proliferation and the metastatic capability of stable cell lines as well as patient-derived cells (PDCs) established from TNBC patient tissues. KYA1797K also suppressed the stemness of 3D-cultured PDCs and xenografted tumors established by using residual tumors from TNBC patients and those established by the TNBC cell line. Targeting both the Wnt/β-catenin and RAS-ERK pathways via small molecules simultaneously reducing the levels of β-catenin, RAS, and EGFR could be a potential therapeutic approach for TNBC. The triple-negative breast cancer (TNBC), a highly aggressive form of breast cancer may be susceptible to drug therapy that targets two critical signaling pathways, one that governs cell fate and the other that controls the cell cycle. Researchers from Yonsei University in Seoul, South Korea, had previously synthesized a small-molecule called KYA1797K and found that could lower levels of the proteins, β-catenin (a master regulator of cell fate decisions) and RAS (which controls cell division), in colorectal cancer cells. Now, Kang-Yell Choi, Soonmyung Paik, and colleagues have shown that KYA1797K has the same effects on β-catenin and RAS levels in cells taken from patients with TNBC. In cell lines and mouse models, KY1797K suppressed the proliferation and metastatic capability of TNBC, highlighting the therapeutic potential of this strategy degrading both β-catenin and RAS.
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32
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Cho SY. Patient-derived xenografts as compatible models for precision oncology. Lab Anim Res 2020; 36:14. [PMID: 32461927 PMCID: PMC7238616 DOI: 10.1186/s42826-020-00045-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 05/06/2020] [Indexed: 01/02/2023] Open
Abstract
Cancer is a very heterogeneous disease, displaying heterogeneity between patients (inter-tumoral heterogeneity) and heterogeneity within a patient (intra-tumoral heterogeneity). Precision oncology is a diagnostic and therapeutic approach for cancers based on the stratification of patients using genomic and molecular profiling of tumors. To develop diagnostic and therapeutic tools for the application of precision oncology, appropriate preclinical mouse models that reflect tumor heterogeneity are required. Patient-derived xenograft (PDX) models are generated by the engraftment of patient tumors into immunodeficient mice that retain several aspects of the patient’s tumor characteristics, including inter-tumoral heterogeneity and intra-tumoral heterogeneity. Therefore, PDX models can be applied in various developmental steps of cancer diagnostics and therapeutics, such as biomarker development, companion diagnostics, drug efficacy testing, overcoming drug resistance, and co-clinical trials. This review summarizes the diverse aspects of PDX models, addressing the factors considered for PDX generation, application of PDX models for cancer research, and future directions of PDX models.
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Affiliation(s)
- Sung-Yup Cho
- 1Department of Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080 South Korea.,2Cancer Research Institute, Seoul National University College of Medicine, Seoul, South Korea.,3Medical Research Center, Genomic Medicine Institute (GMI), Seoul National University, Seoul, South Korea
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Na YS, Ryu MH, Park YS, Lee CW, Lee JK, Park Y, Park JM, Ma J, Kang YK. Establishment of patient-derived xenografts from patients with gastrointestinal stromal tumors: analysis of clinicopathological characteristics related to engraftment success. Sci Rep 2020; 10:7996. [PMID: 32409663 PMCID: PMC7224375 DOI: 10.1038/s41598-020-64552-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 04/15/2020] [Indexed: 12/11/2022] Open
Abstract
Patient-derived xenografts (PDXs) can represent the heterogeneity and histological characteristics of tumors and are thus useful for testing the efficacy of anti-cancer drugs; however, PDXs are difficult to generate, especially for gastrointestinal stromal tumor (GIST). We analyzed the clinicopathologic factors associated with the successful establishment of GIST PDX in NOD.Cg-Prkdcscid IL2rgtm1Wjl/SzJ mice. We used 185 GIST tumor fragments from patients who underwent surgical resection prior to (n = 66; 35.7%) and after treatment (n = 119; 64.3%) with tyrosine kinase inhibitors. The overall success rate of PDX establishment was 17%; in univariate analysis, engraftment success was associated with after TKI treatment, larger tumor size, higher mitotic count, higher Ki-67 index, higher cellularity, presence of tumor necrosis, primary mutations in KIT exon 11, and originating from metastatic lesions. In multivariate analysis, higher Ki-67 index, after TKI treatment, and larger tumor size were independent factors for engraftment success. Immunohistochemistry in representative samples further corroborated the above results. These results will be useful in the establishment of PDX models from GISTs.
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Affiliation(s)
- Young-Soon Na
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Min-Hee Ryu
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Young Soo Park
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Chae-Won Lee
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ju-Kyung Lee
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yangsoon Park
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jung Min Park
- Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jungeun Ma
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yoon-Koo Kang
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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Jozkowiak M, Skupin-Mrugalska P, Nowicki A, Borys-Wojcik S, Wierzchowski M, Kaczmarek M, Ramlau P, Jodynis-Liebert J, Piotrowska-Kempisty H. The Effect of 4'-hydroxy-3,4,5-trimetoxystilbene, the Metabolite of Resveratrol Analogue DMU-212, on Growth, Cell Cycle and Apoptosis in DLD-1 and LOVO Colon Cancer Cell Lines. Nutrients 2020; 12:nu12051327. [PMID: 32392733 PMCID: PMC7285027 DOI: 10.3390/nu12051327] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/10/2020] [Accepted: 05/01/2020] [Indexed: 12/25/2022] Open
Abstract
Resveratrol is a phytoalexin that naturally occurs in grapes, blueberries, cranberries, peanuts and many other plants. Although resveratrol inhibits carcinogenesis in all three stages, its clinical application is restricted due to poor pharmacokinetics. The methylated analogues of resveratrol have been found to have higher bioavailability and cytotoxic activity than that of the prototupe compound. Among the various methoxy derivatives of resveratrol, 3,4,5,4′-tetrametoxystilbene (DMU-212) is suggested to be one of the strongest activators of cytotoxicity and apoptosis. DMU-212 has been shown to exert anti-tumor activity in DLD-1 and LOVO colon cancer cells. Since colorectal cancer is the third most common cause of cancer-related deaths worldwide, the development of new anticancer agents is nowadays of high significance. The aim of the present study was to assess the anticancer activity of 4′-hydroxy-3,4,5-trimetoxystilbene (DMU-281), the metabolite of DMU-212, in DLD-1 and LOVO cell lines. We showed for the first time the cytotoxic activity of DMU-281 triggered via cell cycle arrest at G2/M phase and apoptosis induction accompanied by the activation of caspases-9, -8, -3/7. Furthermore, DMU-281 has been found to change the expression pattern of genes and proteins related to intrinsic as well as extrinsic apoptosis. Since the activation of these pathways of apoptosis is still the most desired strategy in anticancer research, DMU-281 seems to provide a promising approach to the treatment of colon cancer.
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Affiliation(s)
- Malgorzata Jozkowiak
- Department of Toxicology, Poznan University of Medical Sciences; Dojazd 30 St., PL-60-631 Poznan, Poland; (M.J.); (A.N.); (P.R.); (J.J.-L.)
| | - Paulina Skupin-Mrugalska
- Department of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6, 60-780 Poznan, Poland;
| | - Andrzej Nowicki
- Department of Toxicology, Poznan University of Medical Sciences; Dojazd 30 St., PL-60-631 Poznan, Poland; (M.J.); (A.N.); (P.R.); (J.J.-L.)
| | - Sylwia Borys-Wojcik
- Department of Anatomy, Poznan University of Medical Sciences, Swiecickiego 6 St., PL-60-781 Poznan, Poland;
| | - Marcin Wierzchowski
- Department of Chemical Technology of Drugs, Poznan University of Medical Sciences, Grunwaldzka 6 St., PL-60-780 Poznan, Poland;
| | - Mariusz Kaczmarek
- Department of Cancer Immunology, Chair of Medical Biotechnology, Poznan University of Medical Sciences, Garbary 15 St., PL-61-866 Poznan, Poland;
- Gene Therapy Unit, Department of Cancer Diagnostics and Immunology, Greater Poland Cancer Centre, Garbary 15 St., PL-61-866 Poznan, Poland
| | - Piotr Ramlau
- Department of Toxicology, Poznan University of Medical Sciences; Dojazd 30 St., PL-60-631 Poznan, Poland; (M.J.); (A.N.); (P.R.); (J.J.-L.)
| | - Jadwiga Jodynis-Liebert
- Department of Toxicology, Poznan University of Medical Sciences; Dojazd 30 St., PL-60-631 Poznan, Poland; (M.J.); (A.N.); (P.R.); (J.J.-L.)
| | - Hanna Piotrowska-Kempisty
- Department of Toxicology, Poznan University of Medical Sciences; Dojazd 30 St., PL-60-631 Poznan, Poland; (M.J.); (A.N.); (P.R.); (J.J.-L.)
- Correspondence: ; Tel.: +48-61847-07-21
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Teng R, Zhao J, Zhao Y, Gao J, Li H, Zhou S, Wang Y, Sun Q, Lin Z, Yang W, Yin M, Wen J, Deng H. Chimeric Antigen Receptor-modified T Cells Repressed Solid Tumors and Their Relapse in an Established Patient-derived Colon Carcinoma Xenograft Model. J Immunother 2020; 42:33-42. [PMID: 30586347 PMCID: PMC6382056 DOI: 10.1097/cji.0000000000000251] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 10/18/2018] [Indexed: 12/20/2022]
Abstract
Adoptive transfer of T cells engineered with a chimeric antigen receptor (CAR) is deemed as the silver bullet to overcome the barriers of solid tumor treatment; however, the therapeutic application against solid tumors faces major challenges largely owing to the complex heterogeneity and immunosuppressive microenvironment of solid tumors. Preclinical development of CAR-T-cell products necessitates an appropriate animal model for the evaluation and improvement of their therapeutic capacities. Patient-derived xenograft (PDX) resembles real patients in several ways, and may serve as an attractive alternative to generate and evaluate the efficacy of CAR-T-cell products. In this study, we established and characterized a PDX mouse model implanted with colorectal cancer (CRC) xenograft. Human epidermal growth factor receptor 2 (HER2) expression in CRC specimens was detected by immunohistochemistry. The fragments of patient tumors were subcutaneously implanted into immunodeficient NOD-NPG mice after surgery. Furthermore, HER2-specific CAR-T cells were engineered and tested in our model to show their effectiveness in tumor clearance. Adoptive transfer of HER2-specific CAR-T cells resulted in the regression or even elimination of CRC xenograft and protection of relapse from rechallenged colon cancer tissue in PDX model. Significant survival advantage was achieved in these mice as compared with those transplanted with green fluorescent protein-T cells. Thus, this study showed that CAR-T-cell treatment may be a promising approach for solid tumor clearance and that the PDX model may be useful to evaluate the effects of CAR-T cells.
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Affiliation(s)
- Ruidi Teng
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Jingjing Zhao
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Yiding Zhao
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Junshuang Gao
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Haibo Li
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Shixin Zhou
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Yuan Wang
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Qiang Sun
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | | | | | - Ming Yin
- Beijing Vitalstar Biotechnology Co., Ltd
| | - Jinhua Wen
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
| | - Hongkui Deng
- Department of Cell Biology and Stem Cell Research Center, School of Basic Medical Sciences, Peking University Health Science Center
- The MOE Key Laboratory of Cell Proliferation and Differentiation, College of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing
- Shenzhen Stem Cell Engineering Laboratory, Key Laboratory of Chemical Genomics, Peking University Shenzhen Graduate School, Shenzhen, China
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Bae SW, Berlth F, Jeong KY, Suh YS, Kong SH, Lee HJ, Kim WH, Chung JK, Yang HK. Establishment of a [ 18F]-FDG-PET/MRI Imaging Protocol for Gastric Cancer PDX as a Preclinical Research Tool. J Gastric Cancer 2020; 20:60-71. [PMID: 32269845 PMCID: PMC7105419 DOI: 10.5230/jgc.2020.20.e7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/29/2019] [Accepted: 01/13/2020] [Indexed: 12/27/2022] Open
Abstract
Purpose The utility of 18-fluordesoxyglucose positron emission tomography ([18F]-FDG-PET) combined with computer tomography or magnetic resonance imaging (MRI) in gastric cancer remains controversial and a rationale for patient selection is desired. This study aims to establish a preclinical patient-derived xenograft (PDX) based [18F]-FDG-PET/MRI protocol for gastric cancer and compare different PDX models regarding tumor growth and FDG uptake. Materials and Methods Female BALB/c nu/nu mice were implanted orthotopically and subcutaneously with gastric cancer PDX. [18F]-FDG-PET/MRI scanning protocol evaluation included different tumor sizes, FDG doses, scanning intervals, and organ-specific uptake. FDG avidity of similar PDX cases were compared between ortho- and heterotopic tumor implantation methods. Microscopic and immunohistochemical investigations were performed to confirm tumor growth and correlate the glycolysis markers glucose transporter 1 (GLUT1) and hexokinase 2 (HK2) with FDG uptake. Results Organ-specific uptake analysis showed specific FDG avidity of the tumor tissue. Standard scanning protocol was determined to include 150 μCi FDG injection dose and scanning after one hour. Comparison of heterotopic and orthotopic implanted mice revealed a long growth interval for orthotopic models with a high uptake in similar PDX tissues. The H-score of GLUT1 and HK2 expression in tumor cells correlated with the measured maximal standardized uptake value values (GLUT1: Pearson r=0.743, P=0.009; HK2: Pearson r=0.605, P=0.049). Conclusions This preclinical gastric cancer PDX based [18F]-FDG-PET/MRI protocol reveals tumor specific FDG uptake and shows correlation to glucose metabolic proteins. Our findings provide a PET/MRI PDX model that can be applicable for translational gastric cancer research.
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Affiliation(s)
- Seong-Woo Bae
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Felix Berlth
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Department of Surgery, Seoul National University Hospital, Seoul, Korea.,Department of General, Visceral and Transplant Surgery, University of Mainz, Mainz, Germany
| | - Kyoung-Yun Jeong
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea
| | - Yun-Suhk Suh
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Seong-Ho Kong
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Hyuk-Joon Lee
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Woo Ho Kim
- Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
| | - June-Key Chung
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Department of Nuclear Medicine, Seoul National University Hospital, Seoul, Korea
| | - Han-Kwang Yang
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.,Department of Surgery, Seoul National University Hospital, Seoul, Korea
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Turner TH, Alzubi MA, Harrell JC. Identification of synergistic drug combinations using breast cancer patient-derived xenografts. Sci Rep 2020; 10:1493. [PMID: 32001757 PMCID: PMC6992640 DOI: 10.1038/s41598-020-58438-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 01/15/2020] [Indexed: 12/21/2022] Open
Abstract
Compared with other breast cancer subtypes, triple-negative breast cancer (TNBC) is associated with relatively poor outcomes due to its metastatic propensity, frequent failure to respond to chemotherapy, and lack of alternative, targeted treatment options, despite decades of major research efforts. Our studies sought to identify promising targeted therapeutic candidates for TNBC through in vitro screening of 1,363 drugs in patient-derived xenograft (PDX) models. Using this approach, we generated a dataset that can be used to assess and compare responses of various breast cancer PDXs to many different drugs. Through a series of further drug screening assays and two-drug combination testing, we identified that the combination of afatinib (epidermal growth factor receptor (EGFR) inhibitor) and YM155 (inhibitor of baculoviral inhibitor of apoptosis repeat-containing 5 (BIRC5; survivin) expression) is synergistically cytotoxic across multiple models of basal-like TNBC and reduces PDX mammary tumor growth in vivo. We found that YM155 reduces EGFR expression in TNBC cells, shedding light on its potential mechanism of synergism with afatinib. Both EGFR and BIRC5 are highly expressed in basal-like PDXs, cell lines, and patients, and high expression of both genes reduces metastasis-free survival, suggesting that co-targeting of these proteins holds promise for potential clinical success in TNBC.
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Affiliation(s)
- Tia H Turner
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, USA.,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA
| | - Mohammad A Alzubi
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, USA.,Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, VA, USA
| | - J Chuck Harrell
- Department of Pathology, Virginia Commonwealth University, Richmond, VA, USA. .,Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA. .,Integrative Life Sciences Doctoral Program, Virginia Commonwealth University, Richmond, VA, USA. .,Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
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Accelerating development of high-risk neuroblastoma patient-derived xenograft models for preclinical testing and personalised therapy. Br J Cancer 2020; 122:680-691. [PMID: 31919402 PMCID: PMC7054410 DOI: 10.1038/s41416-019-0682-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 09/18/2019] [Accepted: 09/20/2019] [Indexed: 01/17/2023] Open
Abstract
Background Predictive preclinical models play an important role in the assessment of new treatment strategies and as avatar models for personalised medicine; however, reliable and timely model generation is challenging. We investigated the feasibility of establishing patient-derived xenograft (PDX) models of high-risk neuroblastoma from a range of tumour-bearing patient materials and assessed approaches to improve engraftment efficiency. Methods PDX model development was attempted in NSG mice by using tumour materials from 12 patients, including primary and metastatic solid tumour samples, bone marrow, pleural fluid and residual cells from cytogenetic analysis. Subcutaneous, intramuscular and orthotopic engraftment were directly compared for three patients. Results PDX models were established for 44% (4/9) of patients at diagnosis and 100% (5/5) at relapse. In one case, attempted engraftment from pleural fluid resulted in an EBV-associated atypical lymphoid proliferation. Xenogeneic graft versus host disease was observed with attempted engraftment from lymph node and bone marrow tumour samples but could be prevented by T-cell depletion. Orthotopic engraftment was more efficient than subcutaneous or intramuscular engraftment. Conclusions High-risk neuroblastoma PDX models can be reliably established from diverse sample types. Orthotopic implantation allows more rapid model development, increasing the likelihood of developing an avatar model within a clinically useful timeframe.
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Veeranki OL, Tong Z, Mejia A, Verma A, Katkhuda R, Bassett R, Kim TB, Wang J, Lang W, Mino B, Solis L, Kingsley C, Norton W, Tailor R, Wu JY, Krishnan S, Lin SH, Blum M, Hofstetter W, Ajani J, Kopetz S, Maru D. A novel patient-derived orthotopic xenograft model of esophageal adenocarcinoma provides a platform for translational discoveries. Dis Model Mech 2019; 12:dmm.041004. [PMID: 31732509 PMCID: PMC6918774 DOI: 10.1242/dmm.041004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 11/08/2019] [Indexed: 12/17/2022] Open
Abstract
Mouse models of gastroesophageal junction (GEJ) cancer strive to recapitulate the intratumoral heterogeneity and cellular crosstalk within patient tumors to improve clinical translation. GEJ cancers remain a therapeutic challenge due to the lack of a reliable mouse model for preclinical drug testing. In this study, a novel patient-derived orthotopic xenograft (PDOX) was established from GEJ cancer via transabdominal surgical implantation. Patient tumor was compared to subcutaneously implanted patient-derived tumor xenograft (PDX) and PDOX by Hematoxylin and Eosin staining, immunohistochemistry and next-generation sequencing. Treatment efficacy studies of radiotherapy were performed. We observed that mechanical abrasion of mouse GEJ prior to surgical implantation of a patient-derived tumor in situ promotes tumor engraftment (100%, n=6). Complete PDOX engraftment was observed with rapid intra- and extraluminal tumor growth, as evidenced by magnetic resonance imaging. PDOXs contain fibroblasts, tumor-associated macrophages, immune and inflammatory cells, vascular and lymphatic vessels. Stromal hallmarks of aggressive GEJ cancers are recapitulated in a GEJ PDOX mouse model. PDOXs demonstrate tumor invasion into vasculature and perineural space. Next-generation sequencing revealed loss of heterozygosity with very high allelic frequency in NOTCH3, TGFB1, EZH2 and KMT2C in the patient tumor, the subcutaneous PDX and the PDOX. Immunohistochemical analysis of Her2/neu (also known as ERBB2), p53 (also known as TP53) and p16 (also known as CDKN2A) in PDX and PDOX revealed maintenance of expression of proteins found in patient tumors, but membranous EGFR overexpression in patient tumor cells was absent in both xenografts. Targeted radiotherapy in this model suggested a decrease in size by 61% according to Response Evaluation Criteria in Solid Tumors (RECIST), indicating a partial response to radiation therapy. Our GEJ PDOX model exhibits remarkable fidelity to human disease and captures the precise tissue microenvironment present within the local GEJ architecture, providing a novel tool for translating findings from studies on human GEJ cancer. This model can be applied to study metastatic progression and to develop novel therapeutic approaches for the treatment of GEJ cancer. This article has an associated First Person interview with the first author of the paper. Editor's choice: The patient-derived orthotopic xenograft model of gastroesophageal adenocarcinoma maintains the morphological and molecular characteristics despite being highly heterogeneous, emphasizing its use as a powerful investigational platform to evaluate new therapies.
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Affiliation(s)
- Omkara Lakshmi Veeranki
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zhimin Tong
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alicia Mejia
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Anuj Verma
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Riham Katkhuda
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Roland Bassett
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tae-Beom Kim
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wenhua Lang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Barbara Mino
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Luisa Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Charles Kingsley
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - William Norton
- Department of Veterinary Medicine and Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ramesh Tailor
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ji Yuan Wu
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sunil Krishnan
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Steven H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mariela Blum
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wayne Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jaffer Ajani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Dipen Maru
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA .,Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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Park HS, Lee JD, Kim JY, Park S, Kim JH, Han HJ, Choi YA, Choi AR, Sohn JH, Kim SI. Establishment of chemosensitivity tests in triple-negative and BRCA-mutated breast cancer patient-derived xenograft models. PLoS One 2019; 14:e0225082. [PMID: 31821346 PMCID: PMC6903765 DOI: 10.1371/journal.pone.0225082] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Accepted: 10/28/2019] [Indexed: 01/05/2023] Open
Abstract
Purpose A patient-derived xenograft (PDX) model is an in vivo animal model which provides biological and genomic profiles similar to a primary tumor. The characterization of factors that influence the establishment of PDX is crucial. Furthermore, PDX models can provide a platform for chemosensitivity tests to evaluate the effectiveness of a target agent before applying it in clinical trials. Methods We implanted 83 cases of breast cancer into NOD.Cg-Prkdcscid Il2rgtm1Sug/Jic mice, to develop PDX models. Clinicopathological factors of primary tumors were reviewed to identify the factors affecting engraftment success rates. After the establishment of PDX models, we performed olaparib and carboplatin chemosensitivity tests. We used PDX models from triple-negative breast cancer (TNBC) with neoadjuvant chemotherapy and/or germline BRCA1 mutations in chemosensitivity tests. Results The univariate analyses (p<0.05) showed factors which were significantly associated with successful engraftment of PDX models include poor histologic grade, presence of BRCA mutation, aggressive diseases, and death. Factors which were independently associated with successful engraftment of PDX models on multivariate analyses include poor histologic grade and aggressive diseases status. In chemosensitivity tests, a PDX model with the BRCA1 L1780P mutation showed partial response to olaparib and complete response to carboplatin. Conclusions Successful engraftment of PDX models was significantly associated with aggressive diseases. Patients who have aggressive diseases status, large tumors, and poor histologic grade are ideal candidates for developing successful PDX models. Chemosensitivity tests using the PDX models provide additional information about alternative treatment strategies for residual TNBC after neoadjuvant chemotherapy.
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Affiliation(s)
- Hyung Seok Park
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Jeong Dong Lee
- Department of Human Biology and Genomics, Brain Korea 21 PLUS Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Korea
| | - Jee Ye Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Seho Park
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Joo Heung Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
| | - Hyun Ju Han
- Avison Biomedical Research Center, Yonsei University College of Medicine, Seoul, Korea
| | - Yeon A. Choi
- Avison Biomedical Research Center, Yonsei University College of Medicine, Seoul, Korea
| | - Ae Ran Choi
- Avison Biomedical Research Center, Yonsei University College of Medicine, Seoul, Korea
| | - Joo Hyuk Sohn
- Division of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- * E-mail: (SIK); (JHS)
| | - Seung Il Kim
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea
- * E-mail: (SIK); (JHS)
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Carpenter R, Oh HJ, Ham IH, Kim D, Hur H, Lee J. Scaffold-Assisted Ectopic Transplantation of Internal Organs and Patient-Derived Tumors. ACS Biomater Sci Eng 2019; 5:6667-6678. [PMID: 33423485 DOI: 10.1021/acsbiomaterials.9b00978] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Xenotransplantation of human tissues into immunodeficient mice has emerged as an invaluable preclinical model to study human biology and disease progression and predict clinical response. The most common anatomical site for tissue transplantation is the subcutaneous pocket due to simple surgical procedures and accessibility for gross monitoring and advanced imaging modalities. However, subcutaneously implanted tissues initially experience a sharp change in oxygen and nutrient supply and increased mechanical deformation. During this acute phase of tissue integration to the host vasculature, substantial cell death and tissue fibrosis occur limiting engraftment efficiency. Previously, we demonstrated that the implantation of inverted colloidal crystal hydrogel scaffolds triggers proangiogenic and immunomodulatory functions without characteristic foreign body encapsulation. In this study, we examine the use of this unique host response to improve the ectopic transplantation of tissues to the subcutaneous site. Scaffold-assisted tissues preserved morphological features and blood vessel density compared to native tissues, whereas scaffold-free tissues collapsed and were less vascularized. Notably, the supporting biomaterial scaffold modulated the foreign body response to reduce the localization of Ly6G+ cells within the transplanted tissues. Cotransplantation of patient-derived gastric cancer with a scaffold resulted in a comparable level of engraftment to conventional methods; however, detailed immunohistological characterization revealed significantly better retention of proliferative cells (Ki67+) and human immune cells (CD45+) by the end of the study. We envision that leveraging the immunomodulatory properties of biomaterial interfaces can be an attractive strategy to improve the functional engraftment of xenotransplants and accelerate individualized diagnostics and the development of novel therapeutic strategies.
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Affiliation(s)
| | - Hye Jeong Oh
- Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea
| | - In-Hye Ham
- Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea
| | - Daeyoung Kim
- Department of Mathematics & Statistics, University of Massachusetts, Amherst, Lederle Graduate Research Tower, 710 North Pleasant Street, Amherst, Massachusetts 01003, United States
| | - Hoon Hur
- Department of Surgery, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon-si 16499, Gyeonggi-do, Republic of Korea
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42
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Kita K, Fukuda K, Takahashi H, Tanimoto A, Nishiyama A, Arai S, Takeuchi S, Yamashita K, Ohtsubo K, Otani S, Yanagimura N, Suzuki C, Ikeda H, Tamura M, Matsumoto I, Yano S. Patient-derived xenograft models of non-small cell lung cancer for evaluating targeted drug sensitivity and resistance. Cancer Sci 2019; 110:3215-3224. [PMID: 31432603 PMCID: PMC6778641 DOI: 10.1111/cas.14171] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Revised: 08/06/2019] [Accepted: 08/13/2019] [Indexed: 12/22/2022] Open
Abstract
Patient-derived xenograft (PDX) models are a useful tool in cancer biology research. However, the number of lung cancer PDX is limited. In the present study, we successfully established 10 PDX, including three adenocarcinoma (AD), six squamous cell carcinoma (SQ) and one large cell carcinoma (LA), from 30 patients with non-small cell lung cancer (NSCLC) (18 AD, 10 SQ, and 2 LA), mainly in SCID hairless outbred (SHO) mice (Crlj:SHO-Prkdcscid Hrhr ). Histology of SQ, advanced clinical stage (III-IV), status of lymph node metastasis (N2-3), and maximum standardized uptake value ≥10 when evaluated using a delayed 18 F-fluoro-2-deoxy-d-glucose positron emission tomography (FDG-PET) scan was associated with successful PDX establishment. Histological analyses showed that PDX had histology similar to that of patients' surgically resected tumors (SRT), whereas components of the microenvironment were replaced with murine cells after several passages. Next-generation sequencing analyses showed that after two to six passages, PDX preserved the majority of the somatic mutations and mRNA expressions of the corresponding SRT. Two out of three PDX with AD histology had epidermal growth factor receptor (EGFR) mutations (L858R or exon 19 deletion) and were sensitive to EGFR tyrosine kinase inhibitors (EGFR-TKI), such as gefitinib and osimertinib. Furthermore, in one of the two PDX with an EGFR mutation, osimertinib resistance was induced that was associated with epithelial-to-mesenchymal transition. This study presented 10 serially transplantable PDX of NSCLC in SHO mice and showed the use of PDX with an EGFR mutation for analyses of EGFR-TKI resistance.
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Affiliation(s)
- Kenji Kita
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.,Central Research Resource Branch, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Koji Fukuda
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.,Nano Life Science Institute, Kanazawa University, Kanazawa, Japan
| | - Hiro Takahashi
- Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Azusa Tanimoto
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Akihiro Nishiyama
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Sachiko Arai
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.,Central Research Resource Branch, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Shinji Takeuchi
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.,Nano Life Science Institute, Kanazawa University, Kanazawa, Japan
| | - Kaname Yamashita
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Koshiro Ohtsubo
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Sakiko Otani
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Naohiro Yanagimura
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Chiaki Suzuki
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Hiroko Ikeda
- Division of Pathology, Kanazawa University Hospital, Kanazawa, Japan
| | - Masaya Tamura
- Department of Thoracic, Cardiovascular and General Surgery, Kanazawa University, Kanazawa, Japan
| | - Isao Matsumoto
- Department of Thoracic, Cardiovascular and General Surgery, Kanazawa University, Kanazawa, Japan
| | - Seiji Yano
- Division of Medical Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan.,Nano Life Science Institute, Kanazawa University, Kanazawa, Japan
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43
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Corso S, Isella C, Bellomo SE, Apicella M, Durando S, Migliore C, Ughetto S, D'Errico L, Menegon S, Moya-Rull D, Cargnelutti M, Capelôa T, Conticelli D, Giordano J, Venesio T, Balsamo A, Marchiò C, Degiuli M, Reddavid R, Fumagalli U, De Pascale S, Sgroi G, Rausa E, Baiocchi GL, Molfino S, Pietrantonio F, Morano F, Siena S, Sartore-Bianchi A, Bencivenga M, Mengardo V, Rosati R, Marrelli D, Morgagni P, Rausei S, Pallabazzer G, De Simone M, Ribero D, Marsoni S, Sottile A, Medico E, Cassoni P, Sapino A, Pectasides E, Thorner AR, Nag A, Drinan SD, Wollison BM, Bass AJ, Giordano S. A Comprehensive PDX Gastric Cancer Collection Captures Cancer Cell-Intrinsic Transcriptional MSI Traits. Cancer Res 2019; 79:5884-5896. [PMID: 31585941 DOI: 10.1158/0008-5472.can-19-1166] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 08/05/2019] [Accepted: 09/25/2019] [Indexed: 11/16/2022]
Abstract
Gastric cancer is the world's third leading cause of cancer mortality. In spite of significant therapeutic improvements, the clinical outcome for patients with advanced gastric cancer is poor; thus, the identification and validation of novel targets is extremely important from a clinical point of view. We generated a wide, multilevel platform of gastric cancer models, comprising 100 patient-derived xenografts (PDX), primary cell lines, and organoids. Samples were classified according to their histology, microsatellite stability, Epstein-Barr virus status, and molecular profile. This PDX platform is the widest in an academic institution, and it includes all the gastric cancer histologic and molecular types identified by The Cancer Genome Atlas. PDX histopathologic features were consistent with those of patients' primary tumors and were maintained throughout passages in mice. Factors modulating grafting rate were histology, TNM stage, copy number gain of tyrosine kinases/KRAS genes, and microsatellite stability status. PDX and PDX-derived cells/organoids demonstrated potential usefulness to study targeted therapy response. Finally, PDX transcriptomic analysis identified a cancer cell-intrinsic microsatellite instability (MSI) signature, which was efficiently exported to gastric cancer, allowing the identification, among microsatellite stable (MSS) patients, of a subset of MSI-like tumors with common molecular aspects and significant better prognosis. In conclusion, we generated a wide gastric cancer PDX platform, whose exploitation will help identify and validate novel "druggable" targets and optimize therapeutic strategies. Moreover, transcriptomic analysis of gastric cancer PDXs allowed the identification of a cancer cell-intrinsic MSI signature, recognizing a subset of MSS patients with MSI transcriptional traits, endowed with better prognosis. SIGNIFICANCE: This study reports a multilevel platform of gastric cancer PDXs and identifies a MSI gastric signature that could contribute to the advancement of precision medicine in gastric cancer.
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Affiliation(s)
- Simona Corso
- Department of Oncology, University of Torino, Candiolo, Italy. .,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | | | | | | | | | - Cristina Migliore
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Stefano Ughetto
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Laura D'Errico
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | | | - Daniel Moya-Rull
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | | | - Tânia Capelôa
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Daniela Conticelli
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Jessica Giordano
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | | | | | - Caterina Marchiò
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.,Department of Medical Sciences, University of Torino, Italy
| | | | | | | | | | - Giovanni Sgroi
- Surgical Oncology Unit, Surgical Science Department, ASST Bergamo Ovest, Treviglio (BG), Italy
| | - Emanuele Rausa
- Surgical Oncology Unit, Surgical Science Department, ASST Bergamo Ovest, Treviglio (BG), Italy
| | - Gian Luca Baiocchi
- Department of Clinical and Experimental Sciences, Surgical Clinic, University of Brescia, Italy
| | - Sarah Molfino
- Department of Clinical and Experimental Sciences, Surgical Clinic, University of Brescia, Italy
| | - Filippo Pietrantonio
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Federica Morano
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Siena
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.,Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Andrea Sartore-Bianchi
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy.,Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Maria Bencivenga
- First Department of General Surgery, Borgo Trento Hospital, University of Verona, Verona, Italy
| | - Valentina Mengardo
- First Department of General Surgery, Borgo Trento Hospital, University of Verona, Verona, Italy
| | - Riccardo Rosati
- Gastroenterological Surgery Unit, IRCCS San Raffaele Hospital, Vita-Salute University, Milan, Italy
| | - Daniele Marrelli
- Department of Medicine, Surgery and Neurosciences, Unit of General Surgery and Surgical Oncology, University of Siena, Siena, Italy
| | - Paolo Morgagni
- Pathology Unit, Morgagni-Pierantoni Hospital, Forlì, Italy
| | - Stefano Rausei
- Department of Surgery, University of Insubria, Varese, Italy
| | | | | | - Dario Ribero
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | | | | | - Enzo Medico
- Department of Oncology, University of Torino, Candiolo, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Paola Cassoni
- Department of Medical Sciences, University of Torino, Italy
| | - Anna Sapino
- Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.,Department of Medical Sciences, University of Torino, Italy
| | - Eirini Pectasides
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Aaron R Thorner
- Center for Cancer Genome Discovery (CCGD) Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Anwesha Nag
- Center for Cancer Genome Discovery (CCGD) Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Samantha D Drinan
- Center for Cancer Genome Discovery (CCGD) Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Bruce M Wollison
- Center for Cancer Genome Discovery (CCGD) Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Adam J Bass
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Silvia Giordano
- Department of Oncology, University of Torino, Candiolo, Italy. .,Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
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44
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Okada S, Vaeteewoottacharn K, Kariya R. Application of Highly Immunocompromised Mice for the Establishment of Patient-Derived Xenograft (PDX) Models. Cells 2019; 8:E889. [PMID: 31412684 PMCID: PMC6721637 DOI: 10.3390/cells8080889] [Citation(s) in RCA: 124] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 08/09/2019] [Accepted: 08/09/2019] [Indexed: 12/11/2022] Open
Abstract
Patient-derived xenograft (PDX) models are created by engraftment of patient tumor tissues into immunocompetent mice. Since a PDX model retains the characteristics of the primary patient tumor including gene expression profiles and drug responses, it has become the most reliable in vivo human cancer model. The engraftment rate increases with the introduction of Non-obese diabetic Severe combined immunodeficiency (NOD/SCID)-based immunocompromised mice, especially the NK-deficient NOD strains NOD/SCID/interleukin-2 receptor gamma chain(IL2Rγ)null (NOG/NSG) and NOD/SCID/Jak3(Janus kinase 3)null (NOJ). Success rates differ with tumor origin: gastrointestinal tumors acquire a higher engraftment rate, while the rate is lower for breast cancers. Subcutaneous transplantation is the most popular method to establish PDX, but some tumors require specific environments, e.g., orthotropic or renal capsule transplantation. Human hormone treatment is necessary to establish hormone-dependent cancers such as prostate and breast cancers. PDX mice with human hematopoietic and immune systems (humanized PDX) are powerful tools for the analysis of tumor-immune system interaction and evaluation of immunotherapy response. A PDX biobank equipped with patients' clinical data, gene-expression patterns, mutational statuses, tumor tissue architects, and drug responsiveness will be an authoritative resource for developing specific tumor biomarkers for chemotherapeutic predictions, creating individualized therapy, and establishing precise cancer medicine.
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Affiliation(s)
- Seiji Okada
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan.
- Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-0811, Japan.
| | - Kulthida Vaeteewoottacharn
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan
- Department of Biochemistry, Khon Kaen University, Khon Kaen 40002, Thailand
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen 40002, Thailand
| | - Ryusho Kariya
- Division of Hematopoiesis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto 860-0811, Japan
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45
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Jeon J, Cheong JH. Clinical Implementation of Precision Medicine in Gastric Cancer. J Gastric Cancer 2019; 19:235-253. [PMID: 31598369 PMCID: PMC6769368 DOI: 10.5230/jgc.2019.19.e25] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 07/28/2019] [Indexed: 12/24/2022] Open
Abstract
Gastric cancer (GC) is one of the deadliest malignancies in the world. Currently, clinical treatment decisions are mostly made based on the extent of the tumor and its anatomy, such as tumor-node-metastasis staging. Recent advances in genome-wide molecular technology have enabled delineation of the molecular characteristics of GC. Based on this, efforts have been made to classify GC into molecular subtypes with distinct prognosis and therapeutic response. Simplified algorithms based on protein and RNA expressions have been proposed to reproduce the GC classification in the clinical field. Furthermore, a recent study established a single patient classifier (SPC) predicting the prognosis and chemotherapy response of resectable GC patients based on a 4-gene real-time polymerase chain reaction assay. GC patient stratification according to SPC will enable personalized therapeutic strategies in adjuvant settings. At the same time, patient-derived xenografts and patient-derived organoids are now emerging as novel preclinical models for the treatment of GC. These models recapitulate the complex features of the primary tumor, which is expected to facilitate both drug development and clinical therapeutic decision making. An integrated approach applying molecular patient stratification and patient-derived models in the clinical realm is considered a turning point in precision medicine in GC.
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Affiliation(s)
- Jaewook Jeon
- Yonsei University College of Medicine, Seoul, Korea
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.,Yonsei Biomedical Research Institute, Yonsei University College of Medicine, Seoul, Korea.,Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Department of Biochemistry & Molecular Biology, Yonsei University College of Medicine, Seoul, Korea.,Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea
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46
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Woo XY, Srivastava A, Graber JH, Yadav V, Sarsani VK, Simons A, Beane G, Grubb S, Ananda G, Liu R, Stafford G, Chuang JH, Airhart SD, Karuturi RKM, George J, Bult CJ. Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines. BMC Med Genomics 2019; 12:92. [PMID: 31262303 PMCID: PMC6604205 DOI: 10.1186/s12920-019-0551-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 06/17/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Patient-derived xenograft (PDX) models are in vivo models of human cancer that have been used for translational cancer research and therapy selection for individual patients. The Jackson Laboratory (JAX) PDX resource comprises 455 models originating from 34 different primary sites (as of 05/08/2019). The models undergo rigorous quality control and are genomically characterized to identify somatic mutations, copy number alterations, and transcriptional profiles. Bioinformatics workflows for analyzing genomic data obtained from human tumors engrafted in a mouse host (i.e., Patient-Derived Xenografts; PDXs) must address challenges such as discriminating between mouse and human sequence reads and accurately identifying somatic mutations and copy number alterations when paired non-tumor DNA from the patient is not available for comparison. RESULTS We report here data analysis workflows and guidelines that address these challenges and achieve reliable identification of somatic mutations, copy number alterations, and transcriptomic profiles of tumors from PDX models that lack genomic data from paired non-tumor tissue for comparison. Our workflows incorporate commonly used software and public databases but are tailored to address the specific challenges of PDX genomics data analysis through parameter tuning and customized data filters and result in improved accuracy for the detection of somatic alterations in PDX models. We also report a gene expression-based classifier that can identify EBV-transformed tumors. We validated our analytical approaches using data simulations and demonstrated the overall concordance of the genomic properties of xenograft tumors with data from primary human tumors in The Cancer Genome Atlas (TCGA). CONCLUSIONS The analysis workflows that we have developed to accurately predict somatic profiles of tumors from PDX models that lack normal tissue for comparison enable the identification of the key oncogenic genomic and expression signatures to support model selection and/or biomarker development in therapeutic studies. A reference implementation of our analysis recommendations is available at https://github.com/TheJacksonLaboratory/PDX-Analysis-Workflows .
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Affiliation(s)
- Xing Yi Woo
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
| | - Anuj Srivastava
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
| | - Joel H Graber
- MDI Biological Laboratory, Bar Harbor, ME, 04609, USA
| | - Vinod Yadav
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
- Present Address: Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Vishal Kumar Sarsani
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA
- Present Address: University of Massachusetts, Amherst, MA, 01003, USA
| | - Al Simons
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA
| | - Glen Beane
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA
| | - Stephen Grubb
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA
| | - Guruprasad Ananda
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
| | - Rangjiao Liu
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
- Present Address: Novogene Corporation, Rockville, MD, 20850, USA
| | - Grace Stafford
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA
| | - Jeffrey H Chuang
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA
| | - Susan D Airhart
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA
| | | | - Joshy George
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06030, USA.
| | - Carol J Bult
- The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, 04609, USA.
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47
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Establishment of Novel Gastric Cancer Patient-Derived Xenografts and Cell Lines: Pathological Comparison between Primary Tumor, Patient-Derived, and Cell-Line Derived Xenografts. Cells 2019; 8:cells8060585. [PMID: 31207870 PMCID: PMC6627523 DOI: 10.3390/cells8060585] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 05/17/2019] [Accepted: 06/11/2019] [Indexed: 02/07/2023] Open
Abstract
Patient-derived xenograft (PDX) models have been recognized as being more suitable for predicting therapeutic efficacy than cell-culture models. However, there are several limitations in applying PDX models in preclinical studies, including their availability—especially for cancers such as gastric cancer—that are not frequently encountered in Western countries. In addition, the differences in morphology between primary, PDX, and tumor cell line-derived xenograft (CDX) models have not been well established. In this study, we aimed to establish a series of gastric cancer PDXs and cell-lines from a relatively large number of gastric cancer patients. We also investigated the clinicopathological factors associated with the establishment of PDX and CDX models, and compared the histology between the primary tumor, PDX, and CDX that originated from the same patient. We engrafted 232 gastric cancer tissues into immune-deficient mice subcutaneously and successfully established 35 gastric cancer PDX models (15.1% success rate). Differentiated type adenocarcinomas (DAs, 19.4%) were more effectively established than poorly differentiated type adenocarcinomas (PDAs, 10.8%). For establishing CDXs, the success rate was less influenced by histological differentiation grade (DA vs. PDA, 12.1% vs. 9.8%). In addition, concordance of histological differentiation grade between primary tumors and PDXs was significant (p < 0.01), while concordance between primary tumors and CDXs was not. Among clinicopathological factors investigated, pathological nodal metastasis status (pN) was significantly associated with the success rate of PDX establishment. Although establishing cell lines from ascites fluid was more efficient (41.2%, 7/17) than resected tissues, it should be noted that all CDXs from ascites fluid had the PDA phenotype. In conclusion, we established 35 PDX and 32 CDX models from 249 gastric cancer patients; among them, 21 PDX/CDX models were established from the same patients. Our findings may provide helpful insights for establishing PDX and CDX models not only from gastric but from other cancer types, as well as select preclinical models for developing new therapeutics.
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48
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Wang J, Xing B, Liu W, Li J, Wang X, Li J, Yang J, Ji C, Li Z, Dong B, Gao J, Shen L. Molecularly annotation of mouse avatar models derived from patients with colorectal cancer liver metastasis. Theranostics 2019; 9:3485-3500. [PMID: 31281492 PMCID: PMC6587174 DOI: 10.7150/thno.32033] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 04/22/2019] [Indexed: 12/14/2022] Open
Abstract
Background: Liver is the most common metastatic site in advanced colorectal cancer. Most patients with colorectal cancer liver metastasis (CRLM) do not benefit from current treatment. Patient-derived xenografts (PDXs) with defined molecular signatures are attractive models for preclinical studies. Methods: Successfully established PDXs were evaluated to elucidate their fidelity of patients' biologic characteristics (pathologic, genetic and protein properties, together with chemosensitivity). The genomic variations of PDXs were analyzed by next-generation sequencing to explore the underlying molecular mechanism of metastasis and potential therapeutic targets. Results: CRLM (N=73) showed a significantly higher successful PDX establishment rate than primary specimens (N=26; 76.7% vs. 57.7%). CRLM PDXs recapitulated the pathologic, genetic and protein properties of parental tumors, as well as chemosensitivity. Frequent altered genes in PDXs showed high consistency compared to patients' genomic alterations and were enriched in MAPK, ErbB, cell cycle, focal adhesion pathways for CRLM PDXs, whereas primary tumor-derived PDXs only exhibited genomic variations involving ErbB and cell cycle. The genetic alterations showed high concordance between paired PDXs from primary and metastatic tissues, except for recurrent gene mutations (ARID1A, CDK8, ETV1, STAT5B and WNK3) and common copy number gains in chromosomes 20q (e.g., SRC/AURKA). Several potential drug targets such as KRAS, HER2, and FGFR2 were validated using corresponding inhibitors. Additionally, PDX models could also be used in screening efficient regimens for patients with no druggable alterations. Conclusion: This study has successfully established and validated a large panel of molecularly annotated platforms from patients with CRLM for preclinical studies.
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49
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Rituximab Decreases Lymphoproliferative Tumor Formation in Hepatopancreaticobiliary and Gastrointestinal Cancer Patient-Derived Xenografts. Sci Rep 2019; 9:5901. [PMID: 30976061 PMCID: PMC6459856 DOI: 10.1038/s41598-019-42470-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 03/28/2019] [Indexed: 12/12/2022] Open
Abstract
High engraftment rates are critical to any patient-derived xenograft (PDX) program and the loss of PDX models due to the development of lymphoproliferative tumors (LTs) is costly and inefficient. We hypothesized that routine injection of rituximab, an anti-CD20 antibody, at the time of implantation would reduce the incidence of LTs. Rituximab injection was added to the standard PDX engraftment protocol. Univariate analysis and multivariate logistic regression were used to determine the significance of various factors. A total of 811 generations of PDX were implanted with 406 receiving rituximab with implantation. On multivariable analysis, rituximab was an independent factor for decreased LT formation across the entire cohort (OR 0.465, 95% CI 0.271–0.797, p = 0.005). Hepatocellular carcinomas (OR 0.319, 95% CI 0.107–0.949, p = 0.040) and cholangiocarcinomas (OR 0.185, 95% CI 0.049–0.696, p = 0.113) were the specific malignant histologic subtypes that demonstrated the greatest benefit. The frequency of LTs decreased across the entire cohort with rituximab administration and PDX tumors that are traditionally associated with higher rates of LT formation, HCCs and CCAs, appear to benefit the most from rituximab treatment. Routine use of rituximab at the time of tumor implantation may have significant programmatic benefits for laboratories that utilize PDX models.
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Ryu WJ, Lee JE, Cho YH, Lee G, Seo MK, Lee SK, Hwang JH, Min DS, Noh SH, Paik S, Kim S, Cheong JH, Choi KY. A Therapeutic Strategy for Chemotherapy-Resistant Gastric Cancer via Destabilization of Both β-Catenin and RAS. Cancers (Basel) 2019; 11:cancers11040496. [PMID: 30965636 PMCID: PMC6521309 DOI: 10.3390/cancers11040496] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 04/04/2019] [Accepted: 04/04/2019] [Indexed: 01/14/2023] Open
Abstract
Treatment of advanced gastric cancer patients with current standard chemotherapeutic agents frequently results in resistance, leading to poor overall survival. However, there has been no success in developing strategies to overcome it. We showed the expression levels of both β-catenin and RAS were significantly increased and correlated in tissues of 756 gastric cancer (GC) patients and tissues of primary- and acquired-resistance patient-derived xenograft tumors treated with 5-fluorouracil and oxaliplatin modulated with leucovorin (FOLFOX). On the basis of our previous studies, where small molecules to suppress colorectal cancer (CRC) via degrading both β-catenin and RAS were developed, we tested the effectiveness of KYA1797K, a representative compound functioning by binding axin, in the growth of GC cells. The efficacy test of the drugs using gastric tumor organoids of Apc1638N mice showed that the CD44 and ALDH1A3 cancer stem cell markers were induced by FOLFOX, but not by KYA1797K. KYA1797K also efficiently suppressed tumors generated by re-engrafting the FOLFOX-resistant patient-derived xenograft (PDX) tumors, which also showed resistance to paclitaxel. Overall, the small-molecule approach degrading both β-catenin and RAS has potential as a therapeutic strategy for treating GC patients resistant to current standard chemotherapies.
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Affiliation(s)
- Won-Ji Ryu
- Translational Research Center for Protein Function Control, Yonsei University, Seoul 03722, Korea.
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
| | - Jae Eun Lee
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Yong-Hee Cho
- Translational Research Center for Protein Function Control, Yonsei University, Seoul 03722, Korea.
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
| | - Gunho Lee
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Korea.
- Graduate Program for Nanomedical Science, Yonsei University, Seoul 03722, Korea.
| | - Mi-Kyoung Seo
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Korea.
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Sang-Kyu Lee
- Translational Research Center for Protein Function Control, Yonsei University, Seoul 03722, Korea.
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
| | - Jeong-Ha Hwang
- Translational Research Center for Protein Function Control, Yonsei University, Seoul 03722, Korea.
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
| | - Do Sik Min
- Translational Research Center for Protein Function Control, Yonsei University, Seoul 03722, Korea.
- Department of Molecular Biology, College of Natural Science, Pusan National University, Pusan 46241, Korea.
| | - Sung Hoon Noh
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Soonmyung Paik
- Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Sangwoo Kim
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Korea.
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University College of Medicine, Seoul 03722, Korea.
- Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Korea.
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 03722, Korea.
| | - Kang-Yell Choi
- Translational Research Center for Protein Function Control, Yonsei University, Seoul 03722, Korea.
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Korea.
- CK Biotechnology Inc., Rm 417, Engineering Research Park, 50 Yonsei Ro, Seodaemun-Gu, Seoul 03722, Korea.
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