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

Authors :
Bruna Cerbelli
Andrea Botticelli
Andrea Quagliariello
Federica Del Chierico
Alberta Tomassini
Pamela Vernocchi
Alfredo Miccheli
Federico Marini
Raffaele Giusti
Ilaria Grazia Zizzari
Marianna Nuti
Francesca Di Pietro
Sofia Reddel
Paolo Marchetti
Lorenza Putignani
Ottavia Giampaoli
Source :
Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-10 (2020), Journal of Translational Medicine
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

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 1H-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.

Details

ISSN :
14795876
Volume :
18
Database :
OpenAIRE
Journal :
Journal of Translational Medicine
Accession number :
edsair.doi.dedup.....5e1821b7321ae12795bf9a7fd0833552
Full Text :
https://doi.org/10.1186/s12967-020-02231-0