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Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies

Pre-operative chemoradiotherapy reduces local recurrence rates in locally advanced rectal cancer. 10-20% of patients undergo complete response to chemoradiotherapy, however, many patients show no response. The mechanisms underlying this are poorly understood; identifying molecular and immunological...

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Autores principales: Gillespie, Michael A., Steele, Colin W., Lannagan, Tamsin R.M., Sansom, Owen J., Roxburgh, Campbell S.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PAGEPress Publications, Pavia, Italy 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237517/
https://www.ncbi.nlm.nih.gov/pubmed/34249240
http://dx.doi.org/10.4081/oncol.2021.511
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author Gillespie, Michael A.
Steele, Colin W.
Lannagan, Tamsin R.M.
Sansom, Owen J.
Roxburgh, Campbell S.D.
author_facet Gillespie, Michael A.
Steele, Colin W.
Lannagan, Tamsin R.M.
Sansom, Owen J.
Roxburgh, Campbell S.D.
author_sort Gillespie, Michael A.
collection PubMed
description Pre-operative chemoradiotherapy reduces local recurrence rates in locally advanced rectal cancer. 10-20% of patients undergo complete response to chemoradiotherapy, however, many patients show no response. The mechanisms underlying this are poorly understood; identifying molecular and immunological factors underpinning heterogeneous responses to chemoradiotherapy, will promote development of treatment strategies to improve responses and overcome resistance mechanisms. This review describes the advances made in pre-clinical modelling of colorectal cancer, including genetically engineered mouse models, transplantation models, patient derived organoids and radiotherapy platforms to study responses to chemoradiotherapy. Relevant literature was identified through the PubMed and MEDLINE databases, using the following keywords: rectal cancer; mouse models; organoids; neo-adjuvant treatment; radiotherapy; chemotherapy. By delineating the advantages and disadvantages of available models, we discuss how modelling techniques can be utilized to address current research priorities in locally advanced rectal cancer. We provide unique insight into the potential application of pre-clinical models in the development of novel neo-adjuvant treatment strategies, which will hopefully guide future clinical trials.
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spelling pubmed-82375172021-07-09 Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies Gillespie, Michael A. Steele, Colin W. Lannagan, Tamsin R.M. Sansom, Owen J. Roxburgh, Campbell S.D. Oncol Rev Review Pre-operative chemoradiotherapy reduces local recurrence rates in locally advanced rectal cancer. 10-20% of patients undergo complete response to chemoradiotherapy, however, many patients show no response. The mechanisms underlying this are poorly understood; identifying molecular and immunological factors underpinning heterogeneous responses to chemoradiotherapy, will promote development of treatment strategies to improve responses and overcome resistance mechanisms. This review describes the advances made in pre-clinical modelling of colorectal cancer, including genetically engineered mouse models, transplantation models, patient derived organoids and radiotherapy platforms to study responses to chemoradiotherapy. Relevant literature was identified through the PubMed and MEDLINE databases, using the following keywords: rectal cancer; mouse models; organoids; neo-adjuvant treatment; radiotherapy; chemotherapy. By delineating the advantages and disadvantages of available models, we discuss how modelling techniques can be utilized to address current research priorities in locally advanced rectal cancer. We provide unique insight into the potential application of pre-clinical models in the development of novel neo-adjuvant treatment strategies, which will hopefully guide future clinical trials. PAGEPress Publications, Pavia, Italy 2021-06-18 /pmc/articles/PMC8237517/ /pubmed/34249240 http://dx.doi.org/10.4081/oncol.2021.511 Text en ©Copyright: the Author(s) https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Review
Gillespie, Michael A.
Steele, Colin W.
Lannagan, Tamsin R.M.
Sansom, Owen J.
Roxburgh, Campbell S.D.
Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
title Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
title_full Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
title_fullStr Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
title_full_unstemmed Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
title_short Pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
title_sort pre-clinical modelling of rectal cancer to develop novel radiotherapy-based treatment strategies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8237517/
https://www.ncbi.nlm.nih.gov/pubmed/34249240
http://dx.doi.org/10.4081/oncol.2021.511
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