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Published on: April 22, 2019
Gut resistome of NSCLC patients treated with immunotherapy
Ewelina Iwan1, Anna Grenda2, Arkadiusz Bomba1
1Department of Omics Analyses, National Veterinary Research Institute, Pulawy, Poland.
Background:
The newest method of treatment for patients with NSCLC (non-small cell lung cancer) is immunotherapy directed at the immune checkpoints PD-1 (Programmed Cell Death 1) and PD-L1 (Programmed Cell Death Ligand 1). PD-L1 is the only validated predictor factor for immunotherapy efficacy, but it is imperfect. Some patients do not benefit from immunotherapy and may develop primary or secondary resistance. This study aimed to assess the intestinal resistome composition of non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors in the context of clinical features and potentially new prediction factors for assessing immunotherapy efficacy.
Methods:
The study included 30 advanced NSCLC patients, 19 (57%) men and 11 (33%) women treated with first- or second-line immunotherapy (nivolumab, pembrolizumab or atezolizumab). We evaluated the patient's gut resistome composition using the high sensitivity of targeted metagenomics.
Results:
Studies have shown that resistome richness is associated with clinical and demographic factors of NSCLC patients treated with immunotherapy. Smoking seems to be associated with an increased abundance of macrolides, lincosamides, streptogramins and vancomycin core resistome. The resistome of patients with progression disease appears to be more abundant and diverse, with significantly higher levels of genomic markers of resistance to lincosamides (lnuC). The resistance genes lnuC, msrD, ermG, aph(6), fosA were correlated with progression-free survival or/and overall survival, thus may be considered as factors potentially impacting the disease.
Conclusion:
The results indicate that the intestinal resistome of NSCLC patients with immune checkpoint inhibitors treatment differs depending on the response to immunotherapy, with several distinguished markers. Since it might impact treatment efficacy, it must be examined more deeply.
Insights
The gut resistome composition differs in non-small cell lung cancer patients based on their response to immunotherapy. Specific resistance genes in the gut microbiome may predict treatment efficacy and patient survival outcomes.
Area of Science:
- Oncology
- Microbiome Research
- Immunotherapy
Background:
- Immunotherapy targeting Programmed Cell Death 1 (PD-1) and Programmed Cell Death Ligand 1 (PD-L1) is a key treatment for non-small cell lung cancer (NSCLC).
- PD-L1 is an imperfect predictor of immunotherapy response, leading to primary or secondary resistance in some patients.
- Understanding factors influencing immunotherapy efficacy is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate the intestinal resistome composition in NSCLC patients undergoing immune checkpoint inhibitor therapy.
- To correlate resistome profiles with clinical features and identify potential new predictors of immunotherapy efficacy.
Main Methods:
- Targeted metagenomics was employed to analyze the gut resistome in 30 advanced NSCLC patients receiving immunotherapy (nivolumab, pembrolizumab, or atezolizumab).
- Patients included 19 males and 11 females, treated with first- or second-line immunotherapy.
Main Results:
- Resistome richness varied with clinical and demographic factors, including smoking history.
- Patients with progressive disease exhibited a more abundant and diverse resistome, with higher levels of lincosamide resistance genes (e.g., *lnuC*).
- Specific resistance genes (*lnuC*, *msrD*, *ermG*, *aph(6)*, *fosA*) correlated with progression-free and overall survival.
Conclusions:
- The intestinal resistome composition differs significantly between NSCLC patients who respond to immunotherapy and those who do not.
- Identified resistance markers suggest a potential role in predicting treatment efficacy and patient survival.
- Further investigation into the gut resistome is warranted to optimize immunotherapy strategies for NSCLC.
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