Results demonstrate that microbial community composition is predominantly driven by the sampling site rather than the disease state alone, with tissue-derived samples forming a distinct ecological cluster, and reveal a significant functional convergence toward pathways essential for rapid bacterial proliferation and environmental adaptation.
Abstract
Abstract Background While the association between oral squamous cell carcinoma (OSCC) and microbial dysbiosis is well-established, high inter-study heterogeneity has historically hindered the identification of universal biomarkers. Objective To explore the profound influence of anatomical ecological niches on microbial profiles while identifying shared oncogenic signatures across diverse populations. Design An integrative meta-analysis of independent OSCC microbiome cohorts was conducted. Results Our results demonstrate that microbial community composition is predominantly driven by the sampling site rather than the disease state alone, with tissue-derived samples forming a distinct ecological cluster. Despite this site-specific dominance, a consistent core of anaerobic pathogens-including Fusobacterium, Capnocytophaga, and Treponema was significantly enriched in OSCC across multiple datasets. Network-based analysis identified Fusobacterium as top driver of microbial community restructuring. Diagnostically, saliva-based models achieved superior accuracy compared to tissue and mucosal models, suggesting that saliva serves as an integrative reservoir for oral pathological changes. Functional profiling further revealed a significant functional convergence toward pathways essential for rapid bacterial proliferation and environmental adaptation, such as ribosome biogenesis, DNA replication, and flagellar assembly. Conclusions These findings emphasize the necessity of standardizing sampling protocols and provide a robust scientific basis for non-invasive, saliva-based precision diagnostic strategies for OSCC.
Overall, this study systematically delineates the structural stability, stage-specific functional remodeling, and interrelated dynamics of gut, paracancerous, and intratumoral microbiomes in gastric cancer.
Guo-Qing Qi, Zhi-Ping Wu, Juan-Juan Chen et al.· Frontiers in Cellular and In...· 0 citations
ABSTRACT Background Oral squamous cell carcinoma accounts for over 90% of oral neoplasms. Despite therapeutic advances, the lack of reliable, non-invasive biomarkers and delayed diagnosis continues to impede effective clinical management. By combining paired lesion and non-lesion sampling with predictive metagenomics a...
Muhammad Irfan Shouq, Hafiz Ghulam Murtaza Saleem, Yue-Zhu Wang et al.· Journal of Oral Microbiology· 0 citations
ABSTRACT Oral microbial dysbiosis is associated with nasopharyngeal carcinoma (NPC), yet specific microbial drivers within this niche remain poorly characterized. Through multi-cohort profiling of saliva microbiota, we identified Streptococcus as consistently enriched in NPC, whose abundance positively correlates with...
Introduction Oral squamous cell carcinoma (OSCC) is a major concern due to high recurrence, therapeutic resistance, and mortality. Increasing evidence indicates that oral microbiome dysbiosis contributes to OSCC development, yet comprehensive multi-cohort evaluations are limited. A systematic review and meta-analysis o...
Akanksha Vishwakarma, Ayurshi Patil, Diksha Saini et al.· Frontiers in Immunology· 0 citations
ABSTRACT Colorectal cancer (CRC) arises through distinct molecular and histological routes that may be shaped by interactions between the mucosa-associated microbiota and host epigenetic regulation. We analyzed paired tumor and adjacent non-tumor colorectal mucosa from CRC patients stratified by histological subtype (c...
Á. Escudero-Jiménez, J. Galán-Ros, Francisco Huertas-López et al.· mSystems· 0 citations
Oral potentially malignant disorders (OPMDs) precede a subset of oral squamous cell carcinomas (OSCCs), but microbiome studies are difficult to compare because disease subtypes, sampling, sequencing regions and cohorts differ. We hypothesized that harmonized reprocessing of independent 16S rRNA datasets would identify...