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Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients

Rectal cancer constitutes approximately one-third of all colorectal cancers and contributes to considerable mortality globally. In contrast to colon cancer, the standard treatment for localized rectal cancer often involves neoadjuvant chemoradiotherapy. Tumour response rates to treatment show substa...

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Autores principales: Alkan, Aylin, Hofving, Tobias, Angenete, Eva, Yrlid, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317379/
https://www.ncbi.nlm.nih.gov/pubmed/34321074
http://dx.doi.org/10.1186/s40364-021-00313-9
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author Alkan, Aylin
Hofving, Tobias
Angenete, Eva
Yrlid, Ulf
author_facet Alkan, Aylin
Hofving, Tobias
Angenete, Eva
Yrlid, Ulf
author_sort Alkan, Aylin
collection PubMed
description Rectal cancer constitutes approximately one-third of all colorectal cancers and contributes to considerable mortality globally. In contrast to colon cancer, the standard treatment for localized rectal cancer often involves neoadjuvant chemoradiotherapy. Tumour response rates to treatment show substantial inter-patient heterogeneity, indicating a need for treatment stratification. Consequently researchers have attempted to establish new means for predicting tumour response in order to assist in treatment decisions. In this review we have summarized published findings regarding potential biomarkers to predict neoadjuvant treatment response for rectal cancer tumours. In addition, we describe cell-based models that can be utilized both for treatment prediction and for studying the complex mechanisms involved.
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spelling pubmed-83173792021-07-30 Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients Alkan, Aylin Hofving, Tobias Angenete, Eva Yrlid, Ulf Biomark Res Review Rectal cancer constitutes approximately one-third of all colorectal cancers and contributes to considerable mortality globally. In contrast to colon cancer, the standard treatment for localized rectal cancer often involves neoadjuvant chemoradiotherapy. Tumour response rates to treatment show substantial inter-patient heterogeneity, indicating a need for treatment stratification. Consequently researchers have attempted to establish new means for predicting tumour response in order to assist in treatment decisions. In this review we have summarized published findings regarding potential biomarkers to predict neoadjuvant treatment response for rectal cancer tumours. In addition, we describe cell-based models that can be utilized both for treatment prediction and for studying the complex mechanisms involved. BioMed Central 2021-07-28 /pmc/articles/PMC8317379/ /pubmed/34321074 http://dx.doi.org/10.1186/s40364-021-00313-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Alkan, Aylin
Hofving, Tobias
Angenete, Eva
Yrlid, Ulf
Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
title Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
title_full Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
title_fullStr Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
title_full_unstemmed Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
title_short Biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
title_sort biomarkers and cell-based models to predict the outcome of neoadjuvant therapy for rectal cancer patients
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8317379/
https://www.ncbi.nlm.nih.gov/pubmed/34321074
http://dx.doi.org/10.1186/s40364-021-00313-9
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