ArticleThoracic cancer2025
Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early-Stage Nonsmoking Lung Adenocarcinoma Patients.
Article in Thoracic cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Malassezia restricta-Derived Extracellular Vesicles Drive Ovarian Cancer Progression Through JAK2/STAT3-Mediated M2 Macrophage Polarisation.Microbial biotechnology · 2026Article
- Article
- Lung microbiome dynamics in health and lung cancer.Microbial genomics · 2025Review
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Authors and funding
10 authors.
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Abstract
backgroundThe mycobiome in the tumor microenvironment of non-smokers with early-stage lung adenocarcinoma (ES-LUAD) has been minimally investigated.
methodsIn this study, we conducted ultra-deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES-LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor-resident mycobiome and its interactions with the host.
resultsThe results revealed that ES-LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances. Concurrently, microbial functional analysis revealed significant alterations associated with genes such as ribosomal proteins and histones. We observed correlations between Yarrowia lipolytica, Saccharomyces paradoxus, and tumor-infiltrating immune cells (TIICs), and identified a strong association (|rho| > 0.7) between S. paradoxus and 14 transcription factors. A signature of three prognostic genes (GRIA1, CDO1, FHL1) closely associated with S. paradoxus was identified and they suggest that the interaction between the mycobiome and the host may contribute to prolonged overall survival (OS). Finally, a predictive model based on six fungi demonstrated decent classification performance in distinguishing ES-LUAD cases from HCs (AUC = 0.724).
conclusionsOur study demonstrates that the interactions between the mycobiome and transcriptome within tumors may help elucidate the pathogenic mechanisms of ES-LUAD. Fungi, as a potential predictive tool, can be used as an additional resource for accurately detecting and discriminating individuals with ES-LUAD.
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