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Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review
Background: Patient-derived xenograft (PDX) models have been a focus of attention because they closely resemble the tumor features of patients and retain the molecular and histological features of diseases. They are promising tools for translational research. In the current systematic review, we ide...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431521/ https://www.ncbi.nlm.nih.gov/pubmed/34502278 http://dx.doi.org/10.3390/ijms22179369 |
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author | Tanaka, Tomohito Nishie, Ruri Ueda, Shoko Miyamoto, Shunsuke Hashida, Sousuke Konishi, Hiromi Terada, Shinichi Kogata, Yuhei Sasaki, Hiroshi Tsunetoh, Satoshi Taniguchi, Kohei Komura, Kazumasa Ohmichi, Masahide |
author_facet | Tanaka, Tomohito Nishie, Ruri Ueda, Shoko Miyamoto, Shunsuke Hashida, Sousuke Konishi, Hiromi Terada, Shinichi Kogata, Yuhei Sasaki, Hiroshi Tsunetoh, Satoshi Taniguchi, Kohei Komura, Kazumasa Ohmichi, Masahide |
author_sort | Tanaka, Tomohito |
collection | PubMed |
description | Background: Patient-derived xenograft (PDX) models have been a focus of attention because they closely resemble the tumor features of patients and retain the molecular and histological features of diseases. They are promising tools for translational research. In the current systematic review, we identify publications on PDX models of cervical cancer (CC-PDX) with descriptions of main methodological characteristics and outcomes to identify the most suitable method for CC-PDX. Methods: We searched on PubMed to identify articles reporting CC-PDX. Briefly, the main inclusion criterion for papers was description of PDX created with fragments obtained from human cervical cancer specimens, and the exclusion criterion was the creation of xenograft with established cell lines. Results: After the search process, 10 studies were found and included in the systematic review. Among 98 donor patients, 61 CC-PDX were established, and the overall success rate was 62.2%. The success rate in each article ranged from 0% to 75% and was higher when using severe immunodeficient mice such as severe combined immunodeficient (SCID), nonobese diabetic (NOD) SCID, and NOD SCID gamma (NSG) mice than nude mice. Subrenal capsule implantation led to a higher engraftment rate than orthotopic and subcutaneous implantation. Fragments with a size of 1–3 mm(3) were suitable for CC-PDX. No relationship was found between the engraftment rate and characteristics of the tumor and donor patient, including histology, staging, and metastasis. The latency period varied from 10 days to 12 months. Most studies showed a strong similarity in pathological and immunohistochemical features between the original tumor and the PDX model. Conclusion: Severe immunodeficient mice and subrenal capsule implantation led to a higher engraftment rate; however, orthotopic and subcutaneous implantation were alternatives. When using nude mice, subrenal implantation may be better. Fragments with a size of 1–3 mm(3) were suitable for CC-PDX. Few reports have been published about CC-PDX; the results were not confirmed because of the small sample size. |
format | Online Article Text |
id | pubmed-8431521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84315212021-09-11 Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review Tanaka, Tomohito Nishie, Ruri Ueda, Shoko Miyamoto, Shunsuke Hashida, Sousuke Konishi, Hiromi Terada, Shinichi Kogata, Yuhei Sasaki, Hiroshi Tsunetoh, Satoshi Taniguchi, Kohei Komura, Kazumasa Ohmichi, Masahide Int J Mol Sci Review Background: Patient-derived xenograft (PDX) models have been a focus of attention because they closely resemble the tumor features of patients and retain the molecular and histological features of diseases. They are promising tools for translational research. In the current systematic review, we identify publications on PDX models of cervical cancer (CC-PDX) with descriptions of main methodological characteristics and outcomes to identify the most suitable method for CC-PDX. Methods: We searched on PubMed to identify articles reporting CC-PDX. Briefly, the main inclusion criterion for papers was description of PDX created with fragments obtained from human cervical cancer specimens, and the exclusion criterion was the creation of xenograft with established cell lines. Results: After the search process, 10 studies were found and included in the systematic review. Among 98 donor patients, 61 CC-PDX were established, and the overall success rate was 62.2%. The success rate in each article ranged from 0% to 75% and was higher when using severe immunodeficient mice such as severe combined immunodeficient (SCID), nonobese diabetic (NOD) SCID, and NOD SCID gamma (NSG) mice than nude mice. Subrenal capsule implantation led to a higher engraftment rate than orthotopic and subcutaneous implantation. Fragments with a size of 1–3 mm(3) were suitable for CC-PDX. No relationship was found between the engraftment rate and characteristics of the tumor and donor patient, including histology, staging, and metastasis. The latency period varied from 10 days to 12 months. Most studies showed a strong similarity in pathological and immunohistochemical features between the original tumor and the PDX model. Conclusion: Severe immunodeficient mice and subrenal capsule implantation led to a higher engraftment rate; however, orthotopic and subcutaneous implantation were alternatives. When using nude mice, subrenal implantation may be better. Fragments with a size of 1–3 mm(3) were suitable for CC-PDX. Few reports have been published about CC-PDX; the results were not confirmed because of the small sample size. MDPI 2021-08-29 /pmc/articles/PMC8431521/ /pubmed/34502278 http://dx.doi.org/10.3390/ijms22179369 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Tanaka, Tomohito Nishie, Ruri Ueda, Shoko Miyamoto, Shunsuke Hashida, Sousuke Konishi, Hiromi Terada, Shinichi Kogata, Yuhei Sasaki, Hiroshi Tsunetoh, Satoshi Taniguchi, Kohei Komura, Kazumasa Ohmichi, Masahide Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review |
title | Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review |
title_full | Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review |
title_fullStr | Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review |
title_full_unstemmed | Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review |
title_short | Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review |
title_sort | patient-derived xenograft models in cervical cancer: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431521/ https://www.ncbi.nlm.nih.gov/pubmed/34502278 http://dx.doi.org/10.3390/ijms22179369 |
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