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A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma
Tailored treatment for patients with rectal cancer requires clinically available markers to predict their response to neoadjuvant treatment. The quantity of tumor-infiltrating lymphocytes (TILs) in pre-operative tumor biopsies has been suggested to predict a favorable response, but opposing results...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173792/ https://www.ncbi.nlm.nih.gov/pubmed/37180638 http://dx.doi.org/10.1080/2162402X.2023.2209473 |
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author | Rezapour, Azar Rydbeck, Daniel Byvald, Fabian Tasselius, Viktor Danielsson, Gustaf Angenete, Eva Yrlid, Ulf |
author_facet | Rezapour, Azar Rydbeck, Daniel Byvald, Fabian Tasselius, Viktor Danielsson, Gustaf Angenete, Eva Yrlid, Ulf |
author_sort | Rezapour, Azar |
collection | PubMed |
description | Tailored treatment for patients with rectal cancer requires clinically available markers to predict their response to neoadjuvant treatment. The quantity of tumor-infiltrating lymphocytes (TILs) in pre-operative tumor biopsies has been suggested to predict a favorable response, but opposing results exist. A biopsy-adapted Immunoscore (IS(B)) based on TILs has recently emerged as a promising predictor of tumor regression and prognosis in (colo)rectal cancer. We aimed to refine the IS(B) for prediction of response using multiplex immunofluorescence (mIF) on pre-operative rectal cancer biopsies. We combined the distribution and density of conventional T cell subsets and γδT cells with a type I Interferon (IFN)-driven response assessed using Myxovirus resistance protein A (MxA) expression. We found that pathological complete response (pCR) following neoadjuvant treatment was associated with type I IFN. Stratification of patients according to the density of CD8(+) in the entire tumor tissue and MxA(+) cells in tumor stroma, where equal weight was assigned to both parameters, resulted in improved predictive quality compared to the IS(B). This novel stratification approach using these two independent parameters in pre-operative biopsies could potentially aid in identifying patients with a good chance of achieving a pCR following neoadjuvant treatment. |
format | Online Article Text |
id | pubmed-10173792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-101737922023-05-12 A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma Rezapour, Azar Rydbeck, Daniel Byvald, Fabian Tasselius, Viktor Danielsson, Gustaf Angenete, Eva Yrlid, Ulf Oncoimmunology Original Research Tailored treatment for patients with rectal cancer requires clinically available markers to predict their response to neoadjuvant treatment. The quantity of tumor-infiltrating lymphocytes (TILs) in pre-operative tumor biopsies has been suggested to predict a favorable response, but opposing results exist. A biopsy-adapted Immunoscore (IS(B)) based on TILs has recently emerged as a promising predictor of tumor regression and prognosis in (colo)rectal cancer. We aimed to refine the IS(B) for prediction of response using multiplex immunofluorescence (mIF) on pre-operative rectal cancer biopsies. We combined the distribution and density of conventional T cell subsets and γδT cells with a type I Interferon (IFN)-driven response assessed using Myxovirus resistance protein A (MxA) expression. We found that pathological complete response (pCR) following neoadjuvant treatment was associated with type I IFN. Stratification of patients according to the density of CD8(+) in the entire tumor tissue and MxA(+) cells in tumor stroma, where equal weight was assigned to both parameters, resulted in improved predictive quality compared to the IS(B). This novel stratification approach using these two independent parameters in pre-operative biopsies could potentially aid in identifying patients with a good chance of achieving a pCR following neoadjuvant treatment. Taylor & Francis 2023-05-10 /pmc/articles/PMC10173792/ /pubmed/37180638 http://dx.doi.org/10.1080/2162402X.2023.2209473 Text en © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Original Research Rezapour, Azar Rydbeck, Daniel Byvald, Fabian Tasselius, Viktor Danielsson, Gustaf Angenete, Eva Yrlid, Ulf A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
title | A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
title_full | A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
title_fullStr | A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
title_full_unstemmed | A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
title_short | A type I interferon footprint in pre-operative biopsies is an independent biomarker that in combination with CD8(+) T cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
title_sort | type i interferon footprint in pre-operative biopsies is an independent biomarker that in combination with cd8(+) t cell quantification can improve the prediction of response to neoadjuvant treatment of rectal adenocarcinoma |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173792/ https://www.ncbi.nlm.nih.gov/pubmed/37180638 http://dx.doi.org/10.1080/2162402X.2023.2209473 |
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