Open Access
Open access
volume 15 issue 17 pages 4352

Challenges and Prospects of Patient-Derived Xenografts for Cancer Research

Publication typeJournal Article
Publication date2023-08-31
scimago Q1
wos Q2
SJR1.462
CiteScore8.8
Impact factor4.4
ISSN20726694
Cancer Research
Oncology
Abstract

We discuss the importance of the in vivo models in elucidating cancer biology, focusing on the patient-derived xenograft (PDX) models, which are classic and standard functional in vivo platforms for preclinical evaluation. We provide an overview of the most representative models, including cell-derived xenografts (CDX), tumor and metastatic cell-derived xenografts, and PDX models utilizing humanized mice (HM). The orthotopic models, which could reproduce the cancer environment and its progression, similar to human tumors, are particularly common. The standard procedures and rationales of gastric adenocarcinoma (GAC) orthotopic models are addressed. Despite the significant advantages of the PDX models, such as recapitulating key features of human tumors and enabling drug testing in the in vivo context, some challenges must be acknowledged, including loss of heterogeneity, selection bias, clonal evolution, stroma replacement, tumor micro-environment (TME) changes, host cell carryover and contaminations, human-to-host cell oncogenic transformation, human and host viral infections, as well as limitations for immunologic research. To compensate for these limitations, other mouse models, such as syngeneic and humanized mouse models, are currently utilized. Overall, the PDX models represent a powerful tool in cancer research, providing critical insights into tumor biology and potential therapeutic targets, but their limitations and challenges must be carefully considered for their effective use. Lastly, we present an intronic quantitative PCR (qPCR) method to authenticate, detect, and quantify human/murine cells in cell lines and PDX samples.

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GOST |
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GOST Copy
Jin J. et al. Challenges and Prospects of Patient-Derived Xenografts for Cancer Research // Cancers. 2023. Vol. 15. No. 17. p. 4352.
GOST all authors (up to 50) Copy
Jin J., Yoshimura K., Sewastjanow-Silva M., Song S., Ajani J. A. Challenges and Prospects of Patient-Derived Xenografts for Cancer Research // Cancers. 2023. Vol. 15. No. 17. p. 4352.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.3390/cancers15174352
UR - https://doi.org/10.3390/cancers15174352
TI - Challenges and Prospects of Patient-Derived Xenografts for Cancer Research
T2 - Cancers
AU - Jin, Jiankang
AU - Yoshimura, Katsuhiro
AU - Sewastjanow-Silva, Matheus
AU - Song, Shumei
AU - Ajani, Jaffer A.
PY - 2023
DA - 2023/08/31
PB - MDPI
SP - 4352
IS - 17
VL - 15
PMID - 37686627
SN - 2072-6694
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Jin,
author = {Jiankang Jin and Katsuhiro Yoshimura and Matheus Sewastjanow-Silva and Shumei Song and Jaffer A. Ajani},
title = {Challenges and Prospects of Patient-Derived Xenografts for Cancer Research},
journal = {Cancers},
year = {2023},
volume = {15},
publisher = {MDPI},
month = {aug},
url = {https://doi.org/10.3390/cancers15174352},
number = {17},
pages = {4352},
doi = {10.3390/cancers15174352}
}
MLA
Cite this
MLA Copy
Jin, Jiankang, et al. “Challenges and Prospects of Patient-Derived Xenografts for Cancer Research.” Cancers, vol. 15, no. 17, Aug. 2023, p. 4352. https://doi.org/10.3390/cancers15174352.