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Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer

Understanding molecular features of colon cancer has shed light on its pathogenesis and progression. Over time, some of these features acquired clinical dignity and were incorporated in decision making. Namely, microsatellite instability (MSI) due to mismatch repair of defects, which primarily was a...

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Autores principales: Laghi, Luigi, Negri, Francesca, Gaiani, Federica, Cavalleri, Tommaso, Grizzi, Fabio, de’ Angelis, Gian Luigi, Malesci, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766746/
https://www.ncbi.nlm.nih.gov/pubmed/33353162
http://dx.doi.org/10.3390/ijms21249680
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author Laghi, Luigi
Negri, Francesca
Gaiani, Federica
Cavalleri, Tommaso
Grizzi, Fabio
de’ Angelis, Gian Luigi
Malesci, Alberto
author_facet Laghi, Luigi
Negri, Francesca
Gaiani, Federica
Cavalleri, Tommaso
Grizzi, Fabio
de’ Angelis, Gian Luigi
Malesci, Alberto
author_sort Laghi, Luigi
collection PubMed
description Understanding molecular features of colon cancer has shed light on its pathogenesis and progression. Over time, some of these features acquired clinical dignity and were incorporated in decision making. Namely, microsatellite instability (MSI) due to mismatch repair of defects, which primarily was adopted for the diagnosis of Lynch syndrome, became recognized as the biomarker of a different disease type, showing a less aggressive behavior. MSI tumors harbor high amounts of tumor infiltrating lymphocytes (TILs) due to their peculiar load in neoantigens. However, microsatellite stable colon cancer may also show high amounts of TILs, and this feature is as well associated with better outcomes. High TIL loads are in general associated with a favorable prognosis, especially in stage II colon cancer, and therein identifies a patient subset with the lowest probability of relapse. With respect to post-surgical adjuvant treatment, particularly in stage III, TILs predictive ability seems to weaken along with the progression of the disease, being less evident in high risk patients. Moving from cohort studies to the analysis of a series from clinical trials contributed to increase the robustness of TILs as a biomarker. The employment of high TIL densities as an indicator of good prognosis in early-stage colon cancers is strongly advisable, while in late-stage colon cancers the employment as an indicator of good responsiveness to post-surgical therapy requires refinement. It remains to be clarified whether TILs could help in identifying those patients with node-positive cancers to whom adjuvant treatment could be spared, at least in low-risk groups as defined by the TNM staging system.
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spelling pubmed-77667462020-12-28 Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer Laghi, Luigi Negri, Francesca Gaiani, Federica Cavalleri, Tommaso Grizzi, Fabio de’ Angelis, Gian Luigi Malesci, Alberto Int J Mol Sci Review Understanding molecular features of colon cancer has shed light on its pathogenesis and progression. Over time, some of these features acquired clinical dignity and were incorporated in decision making. Namely, microsatellite instability (MSI) due to mismatch repair of defects, which primarily was adopted for the diagnosis of Lynch syndrome, became recognized as the biomarker of a different disease type, showing a less aggressive behavior. MSI tumors harbor high amounts of tumor infiltrating lymphocytes (TILs) due to their peculiar load in neoantigens. However, microsatellite stable colon cancer may also show high amounts of TILs, and this feature is as well associated with better outcomes. High TIL loads are in general associated with a favorable prognosis, especially in stage II colon cancer, and therein identifies a patient subset with the lowest probability of relapse. With respect to post-surgical adjuvant treatment, particularly in stage III, TILs predictive ability seems to weaken along with the progression of the disease, being less evident in high risk patients. Moving from cohort studies to the analysis of a series from clinical trials contributed to increase the robustness of TILs as a biomarker. The employment of high TIL densities as an indicator of good prognosis in early-stage colon cancers is strongly advisable, while in late-stage colon cancers the employment as an indicator of good responsiveness to post-surgical therapy requires refinement. It remains to be clarified whether TILs could help in identifying those patients with node-positive cancers to whom adjuvant treatment could be spared, at least in low-risk groups as defined by the TNM staging system. MDPI 2020-12-18 /pmc/articles/PMC7766746/ /pubmed/33353162 http://dx.doi.org/10.3390/ijms21249680 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Laghi, Luigi
Negri, Francesca
Gaiani, Federica
Cavalleri, Tommaso
Grizzi, Fabio
de’ Angelis, Gian Luigi
Malesci, Alberto
Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer
title Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer
title_full Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer
title_fullStr Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer
title_full_unstemmed Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer
title_short Prognostic and Predictive Cross-Roads of Microsatellite Instability and Immune Response to Colon Cancer
title_sort prognostic and predictive cross-roads of microsatellite instability and immune response to colon cancer
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766746/
https://www.ncbi.nlm.nih.gov/pubmed/33353162
http://dx.doi.org/10.3390/ijms21249680
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