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

接受免疫治疗的非小细胞肺癌 (NSCLC) 患者的肠道代谢组学分析

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作者:Andrea Botticelli, Pamela Vernocchi, Federico Marini, Andrea Quagliariello, Bruna Cerbelli, Sofia Reddel, Federica Del Chierico, Francesca Di Pietro, Raffaele Giusti, Alberta Tomassini, Ottavia Giampaoli, Alfredo Miccheli, Ilaria Grazia Zizzari, Marianna Nuti, Lorenza Putignani, Paolo Marchetti

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.

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.

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.

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