Patient-derived xenograft models for the study of benign human neoplasms

被引:3
|
作者
de Souza, Juliana Cristina [1 ]
Miguita, Lucyene [1 ]
Gomez, Ricardo Santiago [2 ]
Gomes, Carolina Cavalieri [1 ]
机构
[1] Univ Fed Minas Gerais UFMG, Biol Sci Inst ICB, Dept Pathol, Ave Presidente Antonio Carlos 6627, Belo Horizonte, MG, Brazil
[2] Univ Fed Minas Gerais UFMG, Sch Dent, Dept Oral Surg & Pathol, Belo Horizonte, MG, Brazil
关键词
Patient-derived xenograft models; PDX; Benign tumors; Malignant tumors; Mice models; Personalized medicine; ATHYMIC NUDE-MOUSE; SUBRENAL CAPSULE; TUMOR XENOGRAFTS; PRECISION MEDICINE; HUMAN MENINGIOMAS; BREAST-TUMORS; DNA-SYNTHESIS; CANCER; MICE; GROWTH;
D O I
10.1016/j.yexmp.2021.104630
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Preclinical models are a core feature of translational research, and patient-derived xenograft (PDX) models have increasingly been used with such purpose. PDX involves the transplantation of fresh human tumor samples into immunodeficient mice to overcome immunologic rejection. It is a valuable tool for basic as well as preclinical research, contributing to the establishment of models to characterize the neoplasms to drug screening and to allow the identification of therapeutic targets. The use of these models is justified because they retain the histological and genomic features of the primary tumor. PDX models are well described for malignant neoplasms, for which the advantages are clear and include the development of drug treatments. The establishment of malignant tumors PDX is undeniably important from a medical perspective. However, few studies have used such models for benign neoplasms. The use of PDX for benign neoplasm studies can help to clarify the pathobiology of these diseases, as well as invasion and malignant transformation mechanisms, which from a biological perspective is equally important to the study of malignant tumors. Therefore, the aim of this study is to review the current methodology for PDX model generation and to cover its main applications, focusing on benign neoplasms.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Progress in building clinically relevant patient-derived tumor xenograft models for cancer research
    Wang, Weijing
    Li, Yongshu
    Lin, Kaida
    Wang, Xiaokang
    Tu, Yanyang
    Zhuo, Zhenjian
    ANIMAL MODELS AND EXPERIMENTAL MEDICINE, 2023, 6 (05) : 381 - 398
  • [22] The Application of Patient-Derived Xenograft Models in Gynecologic Cancers
    Jiang, Wenxiao
    Xie, Shangdan
    Liu, Yi
    Zou, Shuangwei
    Zhu, Xueqiong
    JOURNAL OF CANCER, 2020, 11 (18): : 5478 - 5489
  • [23] The ongoing trends of patient-derived xenograft models in oncology
    Zhuo, Jianyong
    Su, Renyi
    Tan, Winyen
    Lian, Zhengxing
    Lu, Di
    Xu, Xiao
    CANCER COMMUNICATIONS, 2020, 40 (11) : 559 - 563
  • [24] Use of patient-derived xenograft mouse models in cancer research and treatment
    Yada, Erica
    Wada, Satoshi
    Yoshida, Shintaro
    Sasada, Tetsuro
    FUTURE SCIENCE OA, 2018, 4 (03):
  • [25] Patient-derived xenograft (PDX) models, applications and challenges in cancer research
    Abdolahi, Shahrokh
    Ghazvinian, Zeinab
    Muhammadnejad, Samad
    Saleh, Mahshid
    Asadzadeh Aghdaei, Hamid
    Baghaei, Kaveh
    JOURNAL OF TRANSLATIONAL MEDICINE, 2022, 20 (01)
  • [26] Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
    Hidalgo, Manuel
    Amant, Frederic
    Biankin, Andrew V.
    Budinska, Eva
    Byrne, Annette T.
    Caldas, Carlos
    Clarke, Robert B.
    de Jong, Steven
    Jonkers, Jos
    Maelandsmo, Gunhild Mari
    Roman-Roman, Sergio
    Seoane, Joan
    Trusolino, Livio
    Villanueva, Alberto
    CANCER DISCOVERY, 2014, 4 (09) : 998 - 1013
  • [27] Enhancing efficacy of gemcitabine in pancreatic patient-derived xenograft mouse models
    Inkoom, Andriana
    Ndemazie, Nkafu
    Affram, Kevin
    Smith, Taylor
    Zhu, Xue
    Underwood, Patrick
    Krishnan, Sunil
    Ofori, Edward
    Han, Bo
    Trevino, Jose
    Agyare, Edward
    INTERNATIONAL JOURNAL OF PHARMACEUTICS-X, 2020, 2
  • [28] SPA: A Quantitation Strategy for MS Data in Patient-derived Xenograft Models
    Cheng, Xi
    Qian, Lili
    Wang, Bo
    Tan, Minjia
    Li, Jing
    GENOMICS PROTEOMICS & BIOINFORMATICS, 2021, 19 (04) : 522 - 533
  • [29] Patient-Derived Orthotopic Xenograft models in gastric cancer: a systematic review
    Reddavid, Rossella
    Corso, Simona
    Moya-Rull, Daniel
    Giordano, Silvia
    Degiuli, Maurizio
    UPDATES IN SURGERY, 2020, 72 (04) : 951 - 966
  • [30] Patient-derived xenograft models of neuroendocrine prostate cancer
    Shi, Mingchen
    Wang, Yu
    Lin, Dong
    Wang, Yuzhuo
    CANCER LETTERS, 2022, 525 : 160 - 169