Patient-derived orthotopic xenograft models for osteosarcoma individualized precision treatment and effective drug discovery

被引:0
|
作者
Higuchi, Takashi [1 ,2 ,3 ]
Igarashi, Kentaro [3 ]
Oshiro, Hiromichi [1 ,2 ]
Miyake, Kentaro [1 ,2 ]
Sugisawa, Norihiko [1 ,2 ]
Yamamoto, Norio [3 ]
Hayashi, Katsuhiro [3 ]
Kimura, Hiroaki [3 ]
Miwa, Shinji [3 ]
Duan, Zhenfeng [4 ]
Hornicek, Francis J. [4 ]
Tsuchiya, Hiroyuki [3 ]
Hoffman, Robert M. [1 ,2 ]
机构
[1] AntiCancer Inc, San Diego, CA 92111 USA
[2] Univ Calif San Diego, Dept Surg, La Jolla, CA 92093 USA
[3] Kanazawa Univ, Grad Sch Med Sci, Dept Orthopaed Surg, Kanazawa, Ishikawa, Japan
[4] Univ Calif Los Angeles, David Geffen Sch Med, Dept Orthopaed Surg, Los Angeles, CA 90095 USA
来源
ANNALS OF JOINT | 2021年 / 6卷
关键词
Osteosarcoma; patient-derived orthotopic xenograft (PDOX); precision medicine; individualized therapy; ORAL RECOMBINANT METHIONINASE; CHEMOTHERAPY-RESISTANT OSTEOSARCOMA; NUDE-MOUSE MODEL; METASTATIC MODELS; STOMACH-CANCER; CISPLATINUM; DOXORUBICIN; REGRESSES; COMBINATION; CAFFEINE;
D O I
10.21037/aoj.2020.02.08
中图分类号
R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学(修复外科学)];
学科分类号
摘要
Osteosarcoma is the most common malignant primary tumor of bone and mainly occurs in young generations. Due to the heterogeneity, rarity, poor response rate to systemic therapy, and metastatic potential of osteosarcoma, individualized precision medicine and novel drug discovery are greatly needed. Toward this goal, we have established the patient-derived orthotopic xenograft (PDOX) mouse model with surgical orthotopic implantation (SOI) for all major cancers. The PDOX models recapitulate human tumors better than subcutaneous-transplanted xenografts including patient-derived xenograft (PDX). Metastasis is observed to a greater extent in PDOX models due to the intact histology and correct-organ tumor micro-environment of the orthotopically implanted tissue. The present report reviews our research group's experience with the osteosarcoma-PDOX model, and the power of the PDOX models to identify effective therapeutics. We have obtained many promising and surprising results using the osteosarcoma-PDOX model for discovering active approved drugs as well as combinations of them, and experimental therapeutics for individual patients. The patient does not need to suffer from the potential drug toxicity and morbidity of ineffective chemotherapies. In an era of growing promise of new treatment and precision medicine, PDOX models offer a unique opportunity to provide specific and individualized therapy and novel therapeutic options for osteosarcoma patients.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Osteosarcoma Patient-derived Orthotopic Xenograft (PDOX) Models Used to Identify Novel and Effective Therapeutics: A Review
    Higuchi, Takashi
    Igarashi, Kentaro
    Yamamoto, Norio
    Hayashi, Katsuhiro
    Kimura, Hiroaki
    Miwa, Shinji
    Bouvet, Michael
    Tsuchiya, Hiroyuki
    Hoffman, Robert M.
    [J]. ANTICANCER RESEARCH, 2021, 41 (12) : 5865 - 5871
  • [2] Patient-derived orthotopic xenograft models of sarcoma
    Igarashi, Kentaro
    Kawaguchi, Kei
    Murakami, Takashi
    Miyake, Kentaro
    Kiyuna, Tasuku
    Miyake, Masuyo
    Hiroshima, Yukihiko
    Higuchi, Takashi
    Oshiro, Hiromichi
    Nelson, Scott D.
    Dry, Sarah M.
    Li, Yunfeng
    Yamamoto, Norio
    Hayashi, Katsuhiro
    Kimura, Hiroaki
    Miwe, Shinji
    Singh, Shree Ram
    Tsuchiya, Hiroyuki
    Hoffman, Robert M.
    [J]. CANCER LETTERS, 2020, 469 : 332 - 339
  • [3] Patient-derived tumor xenograft models for melanoma drug discovery
    Harris, Antoneicka L.
    Joseph, Richard W.
    Copland, John A.
    [J]. EXPERT OPINION ON DRUG DISCOVERY, 2016, 11 (09) : 895 - 906
  • [4] Characterization of orthotopic bioluminescent patient-derived xenograft model of glioma for drug discovery
    Wang, Jinxi
    Chen, Ling
    Zhou, Jun
    Zhang, Likun
    Huang, Jinyu
    Zhu, Xueluan
    Bourre, Ludovic
    Wang, Jingjing
    [J]. CANCER RESEARCH, 2023, 83 (07)
  • [5] Longitudinal characterization of primary osteosarcoma and derived subcutaneous and orthotopic relapsed patient-derived xenograft models
    da Costa, Maria Eugenia Marques
    Droit, Robin
    Khneisser, Pierre
    Gomez-Brouchet, Anne
    Adam-de-Beaumais, Tiphaine
    Nolla, Marie
    Signolles, Nicolas
    Torrejon, Jacob
    Lombard, Berangere
    Loew, Damarys
    Ayrault, Olivier
    Scoazec, Jean-Yves
    Geoerger, Birgit
    Vassal, Gilles
    Marchais, Antonin
    Gaspar, Nathalie
    [J]. FRONTIERS IN ONCOLOGY, 2023, 13
  • [6] Patient-Derived Orthotopic Xenograft (PDOX) Models of Melanoma
    Hoffman, Robert M.
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2017, 18 (09):
  • [7] Precision medicine for recalcitrant cancers with the patient-derived orthotopic xenograft (PDOX) mouse models for identification of effective therapy.
    Murakami, Takashi
    Kawaguchi, Kei
    Kiyuna, Tasuku
    Igarashi, Kentaro
    Miyake, Kentaro
    Hiroshima, Yukihiko
    Nelson, Scott D.
    Dry, Sarah M.
    Li, Yunfeng
    Singh, Arun S.
    Either, Frederick C.
    Hoffman, Robert M.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2017, 35
  • [8] Characterization of a panel of orthotopic bioluminescent patient-derived models for drug discovery.
    Wang, Jessie Jingjing
    Zhou, Jun
    Chen, Ling
    Zhou, Rongyun
    Xu, Xiaoxi
    Li, Henry Q. X.
    Ouyang, Davy Xuesong
    [J]. CANCER RESEARCH, 2021, 81 (13)
  • [9] Orthotopic patient-derived xenografts are effective precision oncology models in predicting therapeutic response and acquired drug resistance
    Nakashima, Jonathan
    Sperry, Jantzen
    [J]. MOLECULAR CANCER THERAPEUTICS, 2021, 20 (12)
  • [10] Comparison of orthotopic and subcutaneous implantation of pancreatic cancer patient-derived xenograft models for drug development
    Fong, Sarah L.
    Pysz, Marybeth A.
    McKnight, Kristen D.
    Taylor, Nicole
    Nieu, Regina
    Markeson, Juliet
    Rammoth, Hanna
    Dilip, Archana
    Fasano, Kayla
    Janke, Emily
    Anderson, Erica
    Karsunky, Holger
    Dylla, Scott
    [J]. CANCER RESEARCH, 2017, 77