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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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