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Attempting to Identify Bacterial Allies in Immunotherapy of NSCLC Patients

SIMPLE SUMMARY: One of the newest therapies for the treatment of non-small cell lung cancer is immunotherapy targeting the immune checkpoints PD-1 and PD-L1. Factors are now being sought to predict the efficacy of this treatment, as PD-L1 expression on tumor cells is not a perfect indicator. In this...

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Detalles Bibliográficos
Autores principales: Grenda, Anna, Iwan, Ewelina, Krawczyk, Paweł, Frąk, Małgorzata, Chmielewska, Izabela, Bomba, Arkadiusz, Giza, Aleksandra, Rolska-Kopińska, Anna, Szczyrek, Michał, Kieszko, Robert, Kucharczyk, Tomasz, Jarosz, Bożena, Wasyl, Dariusz, Milanowski, Janusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777223/
https://www.ncbi.nlm.nih.gov/pubmed/36551735
http://dx.doi.org/10.3390/cancers14246250
Descripción
Sumario:SIMPLE SUMMARY: One of the newest therapies for the treatment of non-small cell lung cancer is immunotherapy targeting the immune checkpoints PD-1 and PD-L1. Factors are now being sought to predict the efficacy of this treatment, as PD-L1 expression on tumor cells is not a perfect indicator. In this aspect, the lineup of the gut microbiome of patients treated with immunotherapy draws attention. Our study was designed to investigate how the presence of bacteria from certain groups is associated with the effectiveness of immunotherapy or chemoimmunotherapy. The results of studies such as ours presented here may help optimize the qualification of patients with non-small cell lung cancer for treatment with immune checkpoint inhibitors. ABSTRACT: Introduction: Factors other than PD-L1 (Programmed Death Ligand 1) are being sought as predictors for cancer immuno- or chemoimmunotherapy in ongoing studies and long-term observations. Despite high PD-L1 expression on tumor cells, some patients do not benefit from immunotherapy, while others, without the expression of this molecule, respond to immunotherapy. Attention has been paid to the composition of the gut microbiome as a potential predictive factor for immunotherapy effectiveness. Materials and Methods: Our study enrolled 47 Caucasian patients with stage IIIB or IV non-small cell lung cancer (NSCLC). They were eligible for treatment with first- or second-line immunotherapy or chemoimmunotherapy. We collected stool samples before the administration of immunotherapy. We performed next-generation sequencing (NGS) on DNA isolated from the stool sample and analyzed bacterial V3 and V4 of the 16S rRNA gene. Results: We found that bacteria from the families Barnesiellaceae, Ruminococcaceae, Tannerellaceae, and Clostridiaceae could modulate immunotherapy effectiveness. A high abundance of Bacteroidaaceae, Barnesiellaceae, and Tannerellaceae could extend progression-free survival (PFS). Moreover, the risk of death was significantly higher in patients with a high content of Ruminococcaceae family (HR = 6.3, 95% CI: 2.6 to 15.3, p < 0.0001) and in patients with a low abundance of Clostridia UCG-014 (HR = 3.8, 95% CI: 1.5 to 9.8, p = 0.005) regardless of the immunotherapy line. Conclusions: The Clostridia class in gut microbiota could affect the effectiveness of immunotherapy, as well as the length of survival of NSCLC patients who received this method of treatment.