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Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation

Triple negative breast cancer (TNBC) is an aggressive subtype with limited therapeutic options. New opportunities are emerging from current comprehensive characterization of tumor immune infiltration and fitness. Therefore, effectiveness of current chemotherapies and novel immunotherapies are partia...

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Autores principales: Romero-Cordoba, Sandra, Meneghini, Elisabetta, Sant, Milena, Iorio, Marilena Valeria, Sfondrini, Lucia, Paolini, Biagio, Agresti, Roberto, Tagliabue, Elda, Bianchi, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678607/
https://www.ncbi.nlm.nih.gov/pubmed/31261762
http://dx.doi.org/10.3390/cancers11070911
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author Romero-Cordoba, Sandra
Meneghini, Elisabetta
Sant, Milena
Iorio, Marilena Valeria
Sfondrini, Lucia
Paolini, Biagio
Agresti, Roberto
Tagliabue, Elda
Bianchi, Francesca
author_facet Romero-Cordoba, Sandra
Meneghini, Elisabetta
Sant, Milena
Iorio, Marilena Valeria
Sfondrini, Lucia
Paolini, Biagio
Agresti, Roberto
Tagliabue, Elda
Bianchi, Francesca
author_sort Romero-Cordoba, Sandra
collection PubMed
description Triple negative breast cancer (TNBC) is an aggressive subtype with limited therapeutic options. New opportunities are emerging from current comprehensive characterization of tumor immune infiltration and fitness. Therefore, effectiveness of current chemotherapies and novel immunotherapies are partially dictated by host inflammatory and immune profiles. However, further progress in breast cancer immuno-oncology is required to reach a detailed awareness of the immune infiltrate landscape and to determine additional reliable and easily detectable biomarkers. In this study, by analyzing gene expression profiles of 54 TNBC cases we identified three TNBC clusters displaying unique immune features. Deep molecular characterization of immune cells cytolytic-activity and tumor-inflammation status reveled variability in the local composition of the immune infiltrate in the TNBC clusters, reconciled by tumor-infiltrating lymphocytes counts. Platelet-to-lymphocyte ratio (PLR), a blood systemic parameter of inflammation evaluated using pre-surgical blood test data, resulted negatively correlated with local tumoral cytolytic activity and T cell–inflamed microenvironment, whereas tumor aggressiveness score signature positively correlated with PLR values. These data highlighted that systemic inflammation parameters may represent reliable and informative markers of the local immune tumor microenvironment in TNBC patients and could be exploited to decipher tumor infiltrate properties and consequently to select the most appropriate therapies.
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spelling pubmed-66786072019-08-19 Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation Romero-Cordoba, Sandra Meneghini, Elisabetta Sant, Milena Iorio, Marilena Valeria Sfondrini, Lucia Paolini, Biagio Agresti, Roberto Tagliabue, Elda Bianchi, Francesca Cancers (Basel) Article Triple negative breast cancer (TNBC) is an aggressive subtype with limited therapeutic options. New opportunities are emerging from current comprehensive characterization of tumor immune infiltration and fitness. Therefore, effectiveness of current chemotherapies and novel immunotherapies are partially dictated by host inflammatory and immune profiles. However, further progress in breast cancer immuno-oncology is required to reach a detailed awareness of the immune infiltrate landscape and to determine additional reliable and easily detectable biomarkers. In this study, by analyzing gene expression profiles of 54 TNBC cases we identified three TNBC clusters displaying unique immune features. Deep molecular characterization of immune cells cytolytic-activity and tumor-inflammation status reveled variability in the local composition of the immune infiltrate in the TNBC clusters, reconciled by tumor-infiltrating lymphocytes counts. Platelet-to-lymphocyte ratio (PLR), a blood systemic parameter of inflammation evaluated using pre-surgical blood test data, resulted negatively correlated with local tumoral cytolytic activity and T cell–inflamed microenvironment, whereas tumor aggressiveness score signature positively correlated with PLR values. These data highlighted that systemic inflammation parameters may represent reliable and informative markers of the local immune tumor microenvironment in TNBC patients and could be exploited to decipher tumor infiltrate properties and consequently to select the most appropriate therapies. MDPI 2019-06-28 /pmc/articles/PMC6678607/ /pubmed/31261762 http://dx.doi.org/10.3390/cancers11070911 Text en © 2019 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 Article
Romero-Cordoba, Sandra
Meneghini, Elisabetta
Sant, Milena
Iorio, Marilena Valeria
Sfondrini, Lucia
Paolini, Biagio
Agresti, Roberto
Tagliabue, Elda
Bianchi, Francesca
Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation
title Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation
title_full Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation
title_fullStr Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation
title_full_unstemmed Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation
title_short Decoding Immune Heterogeneity of Triple Negative Breast Cancer and Its Association with Systemic Inflammation
title_sort decoding immune heterogeneity of triple negative breast cancer and its association with systemic inflammation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678607/
https://www.ncbi.nlm.nih.gov/pubmed/31261762
http://dx.doi.org/10.3390/cancers11070911
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