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Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis
Almost 25% of lung cancers (LCs) occur in never-smokers. LC inflammatory profile, based on plasma C-reactive protein levels (CRP), predicts mortality, independently by smoking-status. We hypothesized that: CRP could be associated with tumor immune contexture (TIC) in never-smokers and both these two...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408913/ https://www.ncbi.nlm.nih.gov/pubmed/32646072 http://dx.doi.org/10.3390/cancers12071828 |
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author | Milione, Massimo Boeri, Mattia Cantarutti, Anna Centonze, Giovanni Busico, Adele Suatoni, Paola Garzone, Giovanna Cattaneo, Laura Tamborini, Elena Perrone, Federica Mangogna, Alessandro Corrao, Giovanni Pruneri, Giancarlo Sozzi, Gabriella Anichini, Andrea Pastorino, Ugo |
author_facet | Milione, Massimo Boeri, Mattia Cantarutti, Anna Centonze, Giovanni Busico, Adele Suatoni, Paola Garzone, Giovanna Cattaneo, Laura Tamborini, Elena Perrone, Federica Mangogna, Alessandro Corrao, Giovanni Pruneri, Giancarlo Sozzi, Gabriella Anichini, Andrea Pastorino, Ugo |
author_sort | Milione, Massimo |
collection | PubMed |
description | Almost 25% of lung cancers (LCs) occur in never-smokers. LC inflammatory profile, based on plasma C-reactive protein levels (CRP), predicts mortality, independently by smoking-status. We hypothesized that: CRP could be associated with tumor immune contexture (TIC) in never-smokers and both these two parameters may improve their prognosis. Sixty-eight never-smokers LC patients with high or low CRP were selected. The programmed cell death protein 1 (PD-1) and its ligand (PD-L1), the human leukocyte antigens (HLA-DR and HLA-I), CD8, CD4, CD3, CD33, CD163, and CD68 were evaluated by immunohistochemistry on surgical samples given TIC evaluation. The classification model based on TIC scores was generated by Classification and Regression Tree analysis. Tumor mutational burden was evaluated by targeted next-generation sequencing. Exclusively high CRP (H-CRP) subset showed PD-L1 expression in 35% of LC as well as lower HLA-I and HLA-DR in their stromal cells. CD3, CD4, CD8, HLA-I, HLA-DR tumor cells staining were associated with a “low inflammatory profile” subset. CRP and LC immune profiles drive clinical outcome: 5-year survival 88% against 8% was associated with low and high-risk profiles (p < 0.0001). Clinical outcome prediction in never-smoker LC patients may be improved by both CRP and tumor immune contexture evaluation. |
format | Online Article Text |
id | pubmed-7408913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74089132020-08-13 Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis Milione, Massimo Boeri, Mattia Cantarutti, Anna Centonze, Giovanni Busico, Adele Suatoni, Paola Garzone, Giovanna Cattaneo, Laura Tamborini, Elena Perrone, Federica Mangogna, Alessandro Corrao, Giovanni Pruneri, Giancarlo Sozzi, Gabriella Anichini, Andrea Pastorino, Ugo Cancers (Basel) Article Almost 25% of lung cancers (LCs) occur in never-smokers. LC inflammatory profile, based on plasma C-reactive protein levels (CRP), predicts mortality, independently by smoking-status. We hypothesized that: CRP could be associated with tumor immune contexture (TIC) in never-smokers and both these two parameters may improve their prognosis. Sixty-eight never-smokers LC patients with high or low CRP were selected. The programmed cell death protein 1 (PD-1) and its ligand (PD-L1), the human leukocyte antigens (HLA-DR and HLA-I), CD8, CD4, CD3, CD33, CD163, and CD68 were evaluated by immunohistochemistry on surgical samples given TIC evaluation. The classification model based on TIC scores was generated by Classification and Regression Tree analysis. Tumor mutational burden was evaluated by targeted next-generation sequencing. Exclusively high CRP (H-CRP) subset showed PD-L1 expression in 35% of LC as well as lower HLA-I and HLA-DR in their stromal cells. CD3, CD4, CD8, HLA-I, HLA-DR tumor cells staining were associated with a “low inflammatory profile” subset. CRP and LC immune profiles drive clinical outcome: 5-year survival 88% against 8% was associated with low and high-risk profiles (p < 0.0001). Clinical outcome prediction in never-smoker LC patients may be improved by both CRP and tumor immune contexture evaluation. MDPI 2020-07-07 /pmc/articles/PMC7408913/ /pubmed/32646072 http://dx.doi.org/10.3390/cancers12071828 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 | Article Milione, Massimo Boeri, Mattia Cantarutti, Anna Centonze, Giovanni Busico, Adele Suatoni, Paola Garzone, Giovanna Cattaneo, Laura Tamborini, Elena Perrone, Federica Mangogna, Alessandro Corrao, Giovanni Pruneri, Giancarlo Sozzi, Gabriella Anichini, Andrea Pastorino, Ugo Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis |
title | Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis |
title_full | Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis |
title_fullStr | Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis |
title_full_unstemmed | Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis |
title_short | Improved Prognostic Prediction in Never-Smoker Lung Cancer Patients by Integration of a Systemic Inflammation Marker with Tumor Immune Contexture Analysis |
title_sort | improved prognostic prediction in never-smoker lung cancer patients by integration of a systemic inflammation marker with tumor immune contexture analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408913/ https://www.ncbi.nlm.nih.gov/pubmed/32646072 http://dx.doi.org/10.3390/cancers12071828 |
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