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Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment

BACKGROUND: Despite the efficacy of immune checkpoint inhibitors (ICIs) only the 20–30% of treated patients present long term benefits. The metabolic changes occurring in the gut microbiota metabolome are herein proposed as a factor potentially influencing the response to immunotherapy. METHODS: The...

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Autores principales: Botticelli, Andrea, Vernocchi, Pamela, Marini, Federico, Quagliariello, Andrea, Cerbelli, Bruna, Reddel, Sofia, Del Chierico, Federica, Di Pietro, Francesca, Giusti, Raffaele, Tomassini, Alberta, Giampaoli, Ottavia, Miccheli, Alfredo, Zizzari, Ilaria Grazia, Nuti, Marianna, Putignani, Lorenza, Marchetti, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998840/
https://www.ncbi.nlm.nih.gov/pubmed/32014010
http://dx.doi.org/10.1186/s12967-020-02231-0
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author Botticelli, Andrea
Vernocchi, Pamela
Marini, Federico
Quagliariello, Andrea
Cerbelli, Bruna
Reddel, Sofia
Del Chierico, Federica
Di Pietro, Francesca
Giusti, Raffaele
Tomassini, Alberta
Giampaoli, Ottavia
Miccheli, Alfredo
Zizzari, Ilaria Grazia
Nuti, Marianna
Putignani, Lorenza
Marchetti, Paolo
author_facet Botticelli, Andrea
Vernocchi, Pamela
Marini, Federico
Quagliariello, Andrea
Cerbelli, Bruna
Reddel, Sofia
Del Chierico, Federica
Di Pietro, Francesca
Giusti, Raffaele
Tomassini, Alberta
Giampaoli, Ottavia
Miccheli, Alfredo
Zizzari, Ilaria Grazia
Nuti, Marianna
Putignani, Lorenza
Marchetti, Paolo
author_sort Botticelli, Andrea
collection PubMed
description BACKGROUND: Despite the efficacy of immune checkpoint inhibitors (ICIs) only the 20–30% of treated patients present long term benefits. The metabolic changes occurring in the gut microbiota metabolome are herein proposed as a factor potentially influencing the response to immunotherapy. METHODS: The metabolomic profiling of gut microbiota was characterized in 11 patients affected by non-small cell lung cancer (NSCLC) treated with nivolumab in second-line treatment with anti-PD-1 nivolumab. The metabolomics analyses were performed by GC–MS/SPME and (1)H-NMR in order to detect volatile and non-volatile metabolites. Metabolomic data were processed by statistical profiling and chemometric analyses. RESULTS: Four out of 11 patients (36%) presented early progression, while the remaining 7 out of 11 (64%) presented disease progression after 12 months. 2-Pentanone (ketone) and tridecane (alkane) were significantly associated with early progression, and on the contrary short chain fatty acids (SCFAs) (i.e., propionate, butyrate), lysine and nicotinic acid were significantly associated with long-term beneficial effects. CONCLUSIONS: Our preliminary data suggest a significant role of gut microbiota metabolic pathways in affecting response to immunotherapy. The metabolic approach could be a promising strategy to contribute to the personalized management of cancer patients by the identification of microbiota-linked “indicators” of early progressor and long responder patients.
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spelling pubmed-69988402020-02-10 Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment Botticelli, Andrea Vernocchi, Pamela Marini, Federico Quagliariello, Andrea Cerbelli, Bruna Reddel, Sofia Del Chierico, Federica Di Pietro, Francesca Giusti, Raffaele Tomassini, Alberta Giampaoli, Ottavia Miccheli, Alfredo Zizzari, Ilaria Grazia Nuti, Marianna Putignani, Lorenza Marchetti, Paolo J Transl Med Research BACKGROUND: Despite the efficacy of immune checkpoint inhibitors (ICIs) only the 20–30% of treated patients present long term benefits. The metabolic changes occurring in the gut microbiota metabolome are herein proposed as a factor potentially influencing the response to immunotherapy. METHODS: The metabolomic profiling of gut microbiota was characterized in 11 patients affected by non-small cell lung cancer (NSCLC) treated with nivolumab in second-line treatment with anti-PD-1 nivolumab. The metabolomics analyses were performed by GC–MS/SPME and (1)H-NMR in order to detect volatile and non-volatile metabolites. Metabolomic data were processed by statistical profiling and chemometric analyses. RESULTS: Four out of 11 patients (36%) presented early progression, while the remaining 7 out of 11 (64%) presented disease progression after 12 months. 2-Pentanone (ketone) and tridecane (alkane) were significantly associated with early progression, and on the contrary short chain fatty acids (SCFAs) (i.e., propionate, butyrate), lysine and nicotinic acid were significantly associated with long-term beneficial effects. CONCLUSIONS: Our preliminary data suggest a significant role of gut microbiota metabolic pathways in affecting response to immunotherapy. The metabolic approach could be a promising strategy to contribute to the personalized management of cancer patients by the identification of microbiota-linked “indicators” of early progressor and long responder patients. BioMed Central 2020-02-03 /pmc/articles/PMC6998840/ /pubmed/32014010 http://dx.doi.org/10.1186/s12967-020-02231-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Botticelli, Andrea
Vernocchi, Pamela
Marini, Federico
Quagliariello, Andrea
Cerbelli, Bruna
Reddel, Sofia
Del Chierico, Federica
Di Pietro, Francesca
Giusti, Raffaele
Tomassini, Alberta
Giampaoli, Ottavia
Miccheli, Alfredo
Zizzari, Ilaria Grazia
Nuti, Marianna
Putignani, Lorenza
Marchetti, Paolo
Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment
title Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment
title_full Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment
title_fullStr Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment
title_full_unstemmed Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment
title_short Gut metabolomics profiling of non-small cell lung cancer (NSCLC) patients under immunotherapy treatment
title_sort gut metabolomics profiling of non-small cell lung cancer (nsclc) patients under immunotherapy treatment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998840/
https://www.ncbi.nlm.nih.gov/pubmed/32014010
http://dx.doi.org/10.1186/s12967-020-02231-0
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