Non-Cochrane · aetiology · PM42812282
A systematic review and meta-analysis reveals enrichment of pro-inflammatory and bacterial immunity-modulating taxa in oral squamous cell carcinoma.
Vishwakarma Akanksha, Patil Ayurshi, Saini Diksha, et al. · Frontiers in immunology · 2026 · PubMed · doi:10.3389/fimmu.2026.1913744
Findings
Population People with oral squamous cell carcinoma and healthy controls
9 findings
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Bray–Curtis beta diversity | MD 1.29 [0.68, 1.90] GRADE not reported 11 studies |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Weighted UniFrac beta diversity | SMD 1.26 [-0.47, 2.98] GRADE not reported Studies not reported |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Fusobacterium abundance Unresolved: the two extractors disagree on this row. | no estimate extracted GRADE not reported Studies not reported |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Chao1 richness | SMD -50.39 [-101.73, 0.96] GRADE not reported Studies not reported |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Shannon diversity | MD -0.10 [-0.45, 0.26] GRADE not reported 11 studies |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Evenness | SMD -0.01 [-0.02, 0.03] GRADE not reported Studies not reported |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Observed features | SMD -37.18 [-78.96, 4.61] GRADE not reported Studies not reported |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Faith phylogenetic diversity | SMD -5.51 [-22.64, 11.63] GRADE not reported Studies not reported |
| Oral microbiome in OSCC | Oral microbiome in healthy controls | Streptococcus abundance Unresolved: the two extractors disagree on this row. | no estimate extracted GRADE not reported Studies not reported |
Included primary studies 20
Open in Studies| Study | Year | Also included by | Outcomes it informs here | Trial data |
|---|---|---|---|---|
| Chen et al., 2021 matched by author and year (probable) | NR | 7 other reviews | not stated | not extracted yet |
| Zhang et al., 2020 matched by author and year (probable) | NR | 3 other reviews | not stated | not extracted yet |
| Al-Hebshi 2017 Inflammatory bacteriome featuring Fusobacterium nucleatum and Pseudomonas aeruginosa identified in association with oral squamous cell… PMID:28500338 | 2017 | 1 other review | not stated | not extracted yet |
| Chen 2021 Taxonomic and Functional Dysregulation in Salivary Microbiomes During Oral Carcinogenesis. PMID:34604102 | 2021 | 1 other review | not stated | not extracted yet |
| Oyeyemi 2023 Microbiome analysis of saliva from oral squamous cell carcinoma (OSCC) patients and tobacco abusers with potential biomarkers for oral… PMID:38034672 | 2023 | 1 other review | not stated | not extracted yet |
| Zhang 2020 The Oral Microbiota May Have Influence on Oral Cancer. PMID:32010645 | 2019 | 1 other review | not stated | not extracted yet |
| Zhou et al., 2021 matched by author and year (probable) | NR | 1 other review | not stated | not extracted yet |
| Al-Hebshi et al., 2017 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Granato 2021 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Herreros-Pomares 2023 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Oyeyemi et al., 2023 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Perera 2018 Inflammatory Bacteriome and Oral Squamous Cell Carcinoma. PMID:29630846 | 2018 | this review only | not stated | not extracted yet |
| Perera et al., 2018 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Sawant 2023 Oral Microbial Signatures of Tobacco Chewers and Oral Cancer Patients in India. PMID:36678424 | 2023 | this review only | not stated | not extracted yet |
| Sawant et al., 2023 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Saxena 2022 Assessing the Effect of Smokeless Tobacco Consumption on Oral Microbiome in Healthy and Oral Cancer Patients. PMID:35433507 | 2022 | this review only | not stated | not extracted yet |
| Saxena et al., 2022 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Srivastava 2022 Comparative and analytical characterization of the oral bacteriome of smokeless tobacco users with oral squamous cell carcinoma. PMID:35596785 | 2022 | this review only | not stated | not extracted yet |
| Srivastava et al., 2022 matched by author and year (probable) | NR | this review only | not stated | not extracted yet |
| Zhou 2021 The Clinical Potential of Oral Microbiota as a Screening Tool for Oral Squamous Cell Carcinomas. PMID:34485181 | 2021 | this review only | not stated | not extracted yet |
Overlap with other reviews
Reviews that include the same primary studies are not independent evidence. Shared counts match studies by PMID, DOI or NCT, and otherwise by author and year (a probable match). Only the non-Cochrane dental reviews have study lists, so overlap with Cochrane reviews is not counted yet.
Review question
| Element | Planned (methods) | Found (results) |
|---|---|---|
| Population | Patients with OSCC and/or healthy controls; human oral samples (saliva, oral tissue, swabs, dental plaque, oral rinse); excluded OPMDs, oropharyngeal cancer, salivary adenoid cystic carcinoma, studies using adjacent non-tumor tissue as comparator | Patients with OSCC and healthy controls from 11 studies in India, China, Yemen, Taiwan, Spain and Sri Lanka (n=11 studies) |
| Intervention | Oral squamous cell carcinoma (exposure) | Oral squamous cell carcinoma (n=11) |
| Comparison | Healthy controls | Healthy controls (n=11) |
| Outcomes | Oral microbiome composition and diversity: alpha diversity (Chao1, Shannon, Simpson, PD whole tree, Good's coverage), beta diversity (Bray-Curtis, weighted UniFrac), relative abundance at phylum/genus/species level, LEfSe biomarkers, machine-learning classification, PICRUSt2 functional prediction | Alpha diversity: Shannon (n=11), observed features, Faith's PD, evenness, Chao1; beta diversity: Bray-Curtis (n=11), weighted UniFrac; differential taxa abundance, LEfSe, LightGBM classifier (AUC 0.84), PICRUSt functional pathways and genes |
| Study designs | Original studies using 16S rRNA gene NGS with publicly available paired-end raw sequencing data (NCBI SRA BioProject) | Cross-sectional 16S rRNA sequencing studies reanalyzed from raw data (n=11) |
| Timing | Not specified | Not specified |