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Huang S, Mei Z, Wan A, Zhao M, Qi X. Application and prospect of organoid technology in breast cancer. Front Immunol 2024; 15:1413858. [PMID: 39253075 PMCID: PMC11381393 DOI: 10.3389/fimmu.2024.1413858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 08/06/2024] [Indexed: 09/11/2024] Open
Abstract
Breast cancer is the most common malignant tumor in women. Due to the high heterogeneity of breast cancer cells, traditional in vitro research models still have major limitations. Therefore, it is urgent to establish an experimental model that can accurately simulate the characteristics of human breast cancer. Breast cancer organoid technology emerged as the times required, that is, to construct tissue analogs with organ characteristics by using a patient's tumor tissue through 3D culture in vitro. Since the breast cancer organoid can fully preserve the histology and genetic characteristics of the original tumor, it provides a reliable model for preclinical drug screening, establishment of breast cancer organoid biobanks, research into the mechanisms of tumor development, and determination of cancer targets. It has promoted personalized treatment for clinical breast cancer patients. This article mainly focuses on recent research progress and applications of organoid technology in breast cancer, discussing the current limitations and prospects of breast cancer organoid technology.
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Affiliation(s)
- Shanlin Huang
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis and Treatment of Breast cancer, Southwest Hospital, Army Medical University, Chongqing, China
| | - Zifan Mei
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis and Treatment of Breast cancer, Southwest Hospital, Army Medical University, Chongqing, China
| | - Andi Wan
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis and Treatment of Breast cancer, Southwest Hospital, Army Medical University, Chongqing, China
| | - Min Zhao
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis and Treatment of Breast cancer, Southwest Hospital, Army Medical University, Chongqing, China
| | - Xiaowei Qi
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis and Treatment of Breast cancer, Southwest Hospital, Army Medical University, Chongqing, China
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Cui Y, Ran R, Da Y, Zhang H, Jiang M, Qi X, Zhang W, Niu L, Zhou Y, Zhou C, Tang X, Wang K, Yan Y, Ren Y, Dong D, Zhou Y, Wang H, Gong J, Hu F, Zhao S, Zhang H, Zhang C, Yang J. The combination of breast cancer PDO and mini-PDX platform for drug screening and individualized treatment. J Cell Mol Med 2024; 28:e18374. [PMID: 38722288 PMCID: PMC11081008 DOI: 10.1111/jcmm.18374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/05/2024] [Accepted: 04/16/2024] [Indexed: 05/12/2024] Open
Abstract
The majority of advanced breast cancers exhibit strong aggressiveness, heterogeneity, and drug resistance, and currently, the lack of effective treatment strategies is one of the main challenges that cancer research must face. Therefore, developing a feasible preclinical model to explore tailored treatments for refractory breast cancer is urgently needed. We established organoid biobanks from 17 patients with breast cancer and characterized them by immunohistochemistry (IHC) and next generation sequencing (NGS). In addition, we in the first combination of patient-derived organoids (PDOs) with mini-patient-derived xenografts (Mini-PDXs) for the rapid and precise screening of drug sensitivity. We confirmed that breast cancer organoids are a high-fidelity three-dimension (3D) model in vitro that recapitulates the original tumour's histological and genetic features. In addition, for a heavily pretreated patient with advanced drug-resistant breast cancer, we combined PDO and Mini-PDX models to identify potentially effective combinations of therapeutic agents for this patient who were alpelisib + fulvestrant. In the drug sensitivity experiment of organoids, we observed changes in the PI3K/AKT/mTOR signalling axis and oestrogen receptor (ER) protein expression levels, which further verified the reliability of the screening results. Our study demonstrates that the PDO combined with mini-PDX model offers a rapid and precise drug screening platform that holds promise for personalized medicine, improving patient outcomes and addressing the urgent need for effective therapies in advanced breast cancer.
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Affiliation(s)
- Yuxin Cui
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Ran Ran
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Yanyan Da
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Center for Molecular Diagnosis and Precision MedicineThe First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchangJiangxiChina
| | - Huiwen Zhang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Meng Jiang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Xin Qi
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Wei Zhang
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Ligang Niu
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Yuhui Zhou
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Can Zhou
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Xiaojiang Tang
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Ke Wang
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Yu Yan
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Yu Ren
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Danfeng Dong
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Yan Zhou
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Hui Wang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Jin Gong
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Fang Hu
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Shidi Zhao
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Huimin Zhang
- Department of Breast SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
| | - Chengsheng Zhang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Center for Molecular Diagnosis and Precision MedicineThe First Affiliated Hospital, Jiangxi Medical College, Nanchang UniversityNanchangJiangxiChina
| | - Jin Yang
- Precision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Cancer Center, The First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anShaanxiPeople's Republic of China
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Cao C, Lu X, Guo X, Zhao H, Gao Y. Patient-derived models: Promising tools for accelerating the clinical translation of breast cancer research findings. Exp Cell Res 2023; 425:113538. [PMID: 36871856 DOI: 10.1016/j.yexcr.2023.113538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 03/06/2023]
Abstract
Breast cancer has become the highest incidence of cancer in women. It was extensively and deeply studied by biologists and medical workers worldwide. However, the meaningful results in lab researches cannot be realized in clinical, and a part of new drugs in clinical experiments do not obtain as good results as the preclinical researches. It is urgently that promote a kind of breast cancer research models that can get study results closer to the physiological condition of the human body. Patient-derived models (PDMs) originating from clinical tumor, contain primary elements of tumor and maintain key clinical features of tumor. So they are promising research models to facilitate laboratory researches translate to clinical application, and predict the treatment outcome of patients. In this review, we summarize the establishment of PDMs of breast cancer, reviewed the application of PDMs in clinical translational researches and personalized precision medicine with breast cancer as an example, to improve the understanding of PDMs among researchers and clinician, facilitate them to use PDMs on a large scale of breast cancer researches and promote the clinical translation of laboratory research and new drug development.
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Affiliation(s)
- Changqing Cao
- Department of General Surgery, The Second Affiliated Hospital of Air Force Medical University, China; State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, The Fourth Military Medical University, China
| | - Xiyan Lu
- Department of Outpatient, The Second Affiliated Hospital of Air Force Medical University, China
| | - Xinyan Guo
- State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, The Fourth Military Medical University, China
| | - Huadong Zhao
- Department of General Surgery, The Second Affiliated Hospital of Air Force Medical University, China.
| | - Yuan Gao
- State Key Laboratory of Cancer Biology, Biotechnology Center, School of Pharmacy, The Fourth Military Medical University, China.
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Kwon JY, Moskwa N, Kang W, Fan TM, Lee C. Canine as a Comparative and Translational Model for Human Mammary Tumor. J Breast Cancer 2023; 26:1-13. [PMID: 36762784 PMCID: PMC9981990 DOI: 10.4048/jbc.2023.26.e4] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/13/2022] [Accepted: 12/13/2022] [Indexed: 02/10/2023] Open
Abstract
Despite the advances in research and treatment of human breast cancer, its incidence rate continues to increase by 0.5% per year, and the discovery of novel therapeutic strategies for specific subtypes of human breast cancer remains challenging. Traditional laboratory mouse models have contributed tremendously to human breast cancer research. However, mice do not develop tumors spontaneously; consequently, genetically engineered mouse models or patient-derived xenograft models are often relied upon for more sophisticated human breast cancer studies. Since human breast cancer develops spontaneously, there is a need for alternative, yet complementary, models that can better recapitulate the features of human breast cancer to better understand the molecular and clinical complexities of the disease in developing new therapeutic strategies. Canine mammary tumors are one such alternative model that share features with human breast cancer, including prevalence rate, subtype classification, treatment, and mutational profiles, all of which are described in this review.
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Affiliation(s)
- Jee Young Kwon
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | - Nicholas Moskwa
- The Jackson Laboratory for Genomic Medicine, Farmington, USA
| | | | - Timothy M. Fan
- Department of Veterinary Clinical Medicine, University of Illinois, Urbana, USA.,Cancer Center at Illinois, University of Illinois, Urbana, USA
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, USA.
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Chen F, Zhang Z, Shen R, Chen M, Li G, Zhu X. Generation and characterization of patient-derived xenografts from patients with osteosarcoma. Tissue Cell 2022; 79:101911. [DOI: 10.1016/j.tice.2022.101911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 06/03/2022] [Accepted: 08/28/2022] [Indexed: 02/07/2023]
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