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Updated: Jan 30, 2026

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
Published on: February 28, 2018
Tumor microbiome-transcriptome crosstalk identifies Prevotella as an immunotherapeutic predictor in NSCLC
Na Wang1, Lifang Ma2, Yugang Huang3
1Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Abstract:
Background: The tumor-resident microbiome plays a pivotal role in shaping the tumor immune microenvironment; however, its relationship with the host transcriptome and the response to immune checkpoint inhibitors (ICIs) remains largely uncharacterized in non-small cell lung cancer (NSCLC). This study aimed to elucidate the relationship between tissue-resident microbiota, host transcriptomic alterations, and immunotherapy response in NSCLC. Methods: Paired tumor (T) and paracancerous tissue (PT) samples from patients with NSCLC were analyzed using 2bRAD-M and bulk RNA sequencing to generate comprehensive microbiome and transcriptome profiles. The conditional mutual information algorithm was employed to systematically investigate intratumoral microbe-host interactions. Associations between key microbes and patient prognosis, ICI response, and response to epidermal growth factor receptor (EGFR)-targeted therapy were assessed across four independent local clinical cohorts. Results: Higher microbial richness, α-diversity, and β-diversity were observed in PT samples than in T samples. Specifically, PT-resident Bradyrhizobium and Prevotella were identified as key bacterial taxa significantly associated with immune cell populations, including CD8+ T cells, natural killer cells, and activated dendritic cells. Among these, PT-resident Prevotella, but not Bradyrhizobium, was independently associated with improved prognosis of patients with NSCLC and ICI response in both local clinical sets and public datasets. Furthermore, a combined diagnostic model integrating PT-resident Prevotella abundance with routine clinical blood indicators demonstrated markedly superior predictive performance for ICI response compared with the conventional biomarker PD-L1. By contrast, PT-resident Prevotella exhibited no association with treatment response in the EGFR-targeted therapy cohort. Conclusion: PT-resident Prevotella is strongly associated with the prognosis and ICI response in patients with NSCLC. Moreover, integration of PT-resident Prevotella with routine clinical blood indicators holds promise as a potential auxiliary diagnostic tool to facilitate personalized immunotherapy in NSCLC.
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