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Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients

BACKGROUND: Immune checkpoint inhibitors are still unable to provide clinical benefit to the large majority of non-small cell lung cancer (NSCLC) patients. A deeper characterization of the tumor immune microenvironment (TIME) is expected to shed light on the mechanisms of cancer immune evasion and r...

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Autores principales: Bruschini, Sara, Pallocca, Matteo, Sperandio, Eleonora, D’Ambrosio, Lorenzo, Ascenzi, Francesca, De Vitis, Claudia, Salvati, Valentina, Esposito, Antonella, Di Martino, Simona, De Nicola, Francesca, Paolini, Francesca, Fattore, Luigi, Alessandrini, Gabriele, Facciolo, Francesco, Foddai, Maria Laura, Bassi, Massimiliano, Venuta, Federico, D’Ascanio, Michela, Ricci, Alberto, D’ Andrilli, Antonio, Napoli, Christian, Aurisicchio, Luigi, Fanciulli, Maurizio, Rendina, Erino Angelo, Ciliberto, Gennaro, Mancini, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119185/
https://www.ncbi.nlm.nih.gov/pubmed/35584864
http://dx.doi.org/10.1136/jitc-2021-004239
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author Bruschini, Sara
Pallocca, Matteo
Sperandio, Eleonora
D’Ambrosio, Lorenzo
Ascenzi, Francesca
De Vitis, Claudia
Salvati, Valentina
Esposito, Antonella
Di Martino, Simona
De Nicola, Francesca
Paolini, Francesca
Fattore, Luigi
Alessandrini, Gabriele
Facciolo, Francesco
Foddai, Maria Laura
Bassi, Massimiliano
Venuta, Federico
D’Ascanio, Michela
Ricci, Alberto
D’ Andrilli, Antonio
Napoli, Christian
Aurisicchio, Luigi
Fanciulli, Maurizio
Rendina, Erino Angelo
Ciliberto, Gennaro
Mancini, Rita
author_facet Bruschini, Sara
Pallocca, Matteo
Sperandio, Eleonora
D’Ambrosio, Lorenzo
Ascenzi, Francesca
De Vitis, Claudia
Salvati, Valentina
Esposito, Antonella
Di Martino, Simona
De Nicola, Francesca
Paolini, Francesca
Fattore, Luigi
Alessandrini, Gabriele
Facciolo, Francesco
Foddai, Maria Laura
Bassi, Massimiliano
Venuta, Federico
D’Ascanio, Michela
Ricci, Alberto
D’ Andrilli, Antonio
Napoli, Christian
Aurisicchio, Luigi
Fanciulli, Maurizio
Rendina, Erino Angelo
Ciliberto, Gennaro
Mancini, Rita
author_sort Bruschini, Sara
collection PubMed
description BACKGROUND: Immune checkpoint inhibitors are still unable to provide clinical benefit to the large majority of non-small cell lung cancer (NSCLC) patients. A deeper characterization of the tumor immune microenvironment (TIME) is expected to shed light on the mechanisms of cancer immune evasion and resistance to immunotherapy. Here, we exploited malignant pleural effusions (MPEs) from lung adenocarcinoma (LUAD) patients as a model system to decipher TIME in metastatic NSCLC. METHODS: Mononuclear cells from MPEs (PEMC) and peripheral blood (PBMC), cell free pleural fluid and/or plasma were collected from a total of 24 LUAD patients and 12 healthy donors. Bulk-RNA sequencing was performed on total RNA extracted from PEMC and matched PBMC. The DEseq2 Bioconductor package was used to perform differential expression analysis and CIBERSORTx for the regression-based immune deconvolution of bulk gene expression data. Cytokinome analysis of cell-free pleural fluid and plasma samples was performed using a 48-Plex Assay panel. THP-1 monocytic cells were used to assess macrophage polarization. Survival analyses on NSCLC patients were performed using KM Plotter (LUAD, N=672; lung squamous cell carcinoma, N=271). RESULTS: Transcriptomic analysis of immune cells and cytokinome analysis of soluble factors in the pleural fluid depicted MPEs as a metastatic niche in which all the components required for an effective antitumor response are present, but conscripted in a wound-healing, proinflammatory and tumor-supportive mode. The bioinformatic deconvolution analysis revealed an immune landscape dominated by myeloid subsets with the prevalence of monocytes, protumoral macrophages and activated mast cells. Focusing on macrophages we identified an MPEs-distinctive signature associated with worse clinical outcome in LUAD patients. CONCLUSIONS: Our study reports for the first time a wide characterization of MPEs LUAD microenvironment, highlighting the importance of specific components of the myeloid compartment and opens new perspectives for the rational design of new therapies for metastatic NSCLC.
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spelling pubmed-91191852022-06-04 Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients Bruschini, Sara Pallocca, Matteo Sperandio, Eleonora D’Ambrosio, Lorenzo Ascenzi, Francesca De Vitis, Claudia Salvati, Valentina Esposito, Antonella Di Martino, Simona De Nicola, Francesca Paolini, Francesca Fattore, Luigi Alessandrini, Gabriele Facciolo, Francesco Foddai, Maria Laura Bassi, Massimiliano Venuta, Federico D’Ascanio, Michela Ricci, Alberto D’ Andrilli, Antonio Napoli, Christian Aurisicchio, Luigi Fanciulli, Maurizio Rendina, Erino Angelo Ciliberto, Gennaro Mancini, Rita J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Immune checkpoint inhibitors are still unable to provide clinical benefit to the large majority of non-small cell lung cancer (NSCLC) patients. A deeper characterization of the tumor immune microenvironment (TIME) is expected to shed light on the mechanisms of cancer immune evasion and resistance to immunotherapy. Here, we exploited malignant pleural effusions (MPEs) from lung adenocarcinoma (LUAD) patients as a model system to decipher TIME in metastatic NSCLC. METHODS: Mononuclear cells from MPEs (PEMC) and peripheral blood (PBMC), cell free pleural fluid and/or plasma were collected from a total of 24 LUAD patients and 12 healthy donors. Bulk-RNA sequencing was performed on total RNA extracted from PEMC and matched PBMC. The DEseq2 Bioconductor package was used to perform differential expression analysis and CIBERSORTx for the regression-based immune deconvolution of bulk gene expression data. Cytokinome analysis of cell-free pleural fluid and plasma samples was performed using a 48-Plex Assay panel. THP-1 monocytic cells were used to assess macrophage polarization. Survival analyses on NSCLC patients were performed using KM Plotter (LUAD, N=672; lung squamous cell carcinoma, N=271). RESULTS: Transcriptomic analysis of immune cells and cytokinome analysis of soluble factors in the pleural fluid depicted MPEs as a metastatic niche in which all the components required for an effective antitumor response are present, but conscripted in a wound-healing, proinflammatory and tumor-supportive mode. The bioinformatic deconvolution analysis revealed an immune landscape dominated by myeloid subsets with the prevalence of monocytes, protumoral macrophages and activated mast cells. Focusing on macrophages we identified an MPEs-distinctive signature associated with worse clinical outcome in LUAD patients. CONCLUSIONS: Our study reports for the first time a wide characterization of MPEs LUAD microenvironment, highlighting the importance of specific components of the myeloid compartment and opens new perspectives for the rational design of new therapies for metastatic NSCLC. BMJ Publishing Group 2022-05-18 /pmc/articles/PMC9119185/ /pubmed/35584864 http://dx.doi.org/10.1136/jitc-2021-004239 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Immunotherapy Biomarkers
Bruschini, Sara
Pallocca, Matteo
Sperandio, Eleonora
D’Ambrosio, Lorenzo
Ascenzi, Francesca
De Vitis, Claudia
Salvati, Valentina
Esposito, Antonella
Di Martino, Simona
De Nicola, Francesca
Paolini, Francesca
Fattore, Luigi
Alessandrini, Gabriele
Facciolo, Francesco
Foddai, Maria Laura
Bassi, Massimiliano
Venuta, Federico
D’Ascanio, Michela
Ricci, Alberto
D’ Andrilli, Antonio
Napoli, Christian
Aurisicchio, Luigi
Fanciulli, Maurizio
Rendina, Erino Angelo
Ciliberto, Gennaro
Mancini, Rita
Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
title Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
title_full Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
title_fullStr Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
title_full_unstemmed Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
title_short Deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
title_sort deconvolution of malignant pleural effusions immune landscape unravels a novel macrophage signature associated with worse clinical outcome in lung adenocarcinoma patients
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119185/
https://www.ncbi.nlm.nih.gov/pubmed/35584864
http://dx.doi.org/10.1136/jitc-2021-004239
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