Abstract
Background: With the continuing development of new anti-cancer drugs comes a need for preclinical experimental models capable of predicting the clinical activity of these novel agents in cancer patients. However existing models have a limited ability to recapitulate the clinical characteristics and associated drug sensitivity of tumors. Among the more promising approaches for improving preclinical models is direct implantation of patient-derived tumor tissue into immunocompromised mice, such as athymic nude or non-obese diabetic/severe combined immunodeficient (NOD/SCID) mice. In the current study, we attempted to develop patient-derived xenograft (PDX) models using tissue fragments from surgical samples of brain tumors. Methods: In this approach, tiny tissue fragments of tumors were biopsied from eight brain tumor patients-seven glioblastoma patients and one primitive neuroectodermal tumor patient. Two administration methods-a cut-down syringe and a pipette-were used to implant tissue fragments from each patient into the brains of athymic nude mice. Results: In contrast to previous reports, and contrary to our expectations, we found that none of these fragments from brain tumor biopsies resulted in the successful establishment of xenograft tumors. Conclusions: These results suggest that fragments of surgical specimens from brain tumor patients are unsuitable for implementation of brain tumor PDX models, and instead recommend other in vivo testing platforms for brain tumors, such as cell-based brain tumor models.
Original language | English |
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Article number | 43 |
Journal | Cancer Cell International |
Volume | 16 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2016 Jun 10 |
Bibliographical note
Funding Information:This study was supported by Grants from the Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea (HI14C0042), the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF‑2013R1A1A2006427) and a faculty research grant of Yonsei University College of Medicine for 2013 (6‑2013‑0035).
Publisher Copyright:
© 2016 The Author(s).
All Science Journal Classification (ASJC) codes
- Oncology
- Genetics
- Cancer Research