Gut microbiome features associate with immune checkpoint inhibitor response in individuals with non-melanoma skin cancers: an exploratory studyOriginal paper
What was studied?
This study examined whether gut microbiota structure and function relate to outcomes of immune checkpoint inhibitor (ICI) therapy in non-melanoma skin cancers. The researchers performed 16S rRNA V1-V2 gene amplicon sequencing on fecal samples collected longitudinally, then ran tumor-dependent differential analyses of bacterial composition alongside untargeted fecal metabolomics. The goal was to identify bacterial genera, species, and metabolic pathways associated with response versus non-response to ICI treatment.
Who was studied?
The analysis drew on 68 fecal samples collected longitudinally from individuals with basal cell carcinoma (n = 5), Merkel cell carcinoma (n = 5), or cutaneous squamous cell carcinoma (CSCC, n = 11). All participants were undergoing ICI therapy for a non-melanoma skin cancer. This is a small, exploratory cohort spanning three distinct tumor types rather than a single large patient population.
What were the most important findings?
Across all tumor types combined, the researchers identified 10 differential bacterial genera between ICI responders and non-responders. Within the CSCC subgroup specifically, 10 genera and 20 species distinguished responders from non-responders, and predicted functional pathway analyses found 8 pathways enriched in non-responders and 12 enriched in responders. Untargeted fecal metabolomics further identified nine KEGG pathways associated with ICI efficacy in CSCC, pointing to microbial metabolic activity as a correlate of treatment response.
What are the greatest implications of this study?
The findings suggest that gut microbiota composition and function are linked to ICI therapy outcomes in non-melanoma skin cancers, extending observations previously made mainly in melanoma to other skin cancer types. Because this is described as an exploratory study with a small sample size, the specific genera, species, and pathways identified should be viewed as hypothesis-generating rather than confirmed predictors. Larger studies are needed to validate these microbiome features before they could inform strategies to predict or improve ICI response in non-melanoma skin cancer.