Identification of consensus head and neck cancer-associated microbiota signatures: a systematic review and meta-analysis of 16S rRNA and The Cancer Microbiome Atlas datasets
dc.contributor.author | Yeo, K. | |
dc.contributor.author | Li, R. | |
dc.contributor.author | Wu, F. | |
dc.contributor.author | Bouras, G. | |
dc.contributor.author | Mai, L.T.H. | |
dc.contributor.author | Smith, E. | |
dc.contributor.author | Wormald, P.-J. | |
dc.contributor.author | Valentine, R. | |
dc.contributor.author | Psaltis, A.J. | |
dc.contributor.author | Vreugde, S. | |
dc.contributor.author | Fenix, K. | |
dc.date.issued | 2024 | |
dc.description | Published 01 February 2024 | |
dc.description.abstract | Introduction. Multiple reports have attempted to describe the tumour microbiota in head and neck cancer (HNSC).Gap statement. However, these have failed to produce a consistent microbiota signature, which may undermine understanding the importance of bacterial-mediated effects in HNSC.Aim. The aim of this study is to consolidate these datasets and identify a consensus microbiota signature in HNSC.Methodology. We analysed 12 published HNSC 16S rRNA microbial datasets collected from cancer, cancer-adjacent and non-cancer tissues to generate a consensus microbiota signature. These signatures were then validated using The Cancer Microbiome Atlas (TCMA) database and correlated with the tumour microenvironment phenotypes and patient's clinical outcome.Results. We identified a consensus microbial signature at the genus level to differentiate between HNSC sample types, with cancer and cancer-adjacent tissues sharing more similarity than non-cancer tissues. Univariate analysis on 16S rRNA datasets identified significant differences in the abundance of 34 bacterial genera among the tissue types. Paired cancer and cancer-adjacent tissue analyses in 16S rRNA and TCMA datasets identified increased abundance in Fusobacterium in cancer tissues and decreased abundance of Atopobium, Rothia and Actinomyces in cancer-adjacent tissues. Furthermore, these bacteria were associated with different tumour microenvironment phenotypes. Notably, high Fusobacterium signature was associated with high neutrophil (r=0.37, P<0.0001), angiogenesis (r=0.38, P<0.0001) and granulocyte signatures (r=0.38, P<0.0001) and better overall patient survival [continuous: HR 0.8482, 95 % confidence interval (CI) 0.7758-0.9273, P=0.0003].Conclusion. Our meta-analysis demonstrates a consensus microbiota signature for HNSC, highlighting its potential importance in this disease. | |
dc.description.statementofresponsibility | Kenny Yeo, Runhao Li, Fangmeinuo Wu, George Bouras, Linh T.H. Mai, Eric Smith, Peter-John Wormald, Rowan Valentine, Alkis James Psaltis, Sarah Vreugde, and Kevin Fenix | |
dc.identifier.citation | Journal of Medical Microbiology, 2024; 73(2):001799-1-001799-18 | |
dc.identifier.doi | 10.1099/jmm.0.001799 | |
dc.identifier.issn | 0022-2615 | |
dc.identifier.issn | 1473-5644 | |
dc.identifier.orcid | Yeo, K. [0000-0001-5733-0463] | |
dc.identifier.orcid | Li, R. [0000-0001-5577-049X] | |
dc.identifier.orcid | Bouras, G. [0000-0002-5885-4186] | |
dc.identifier.orcid | Smith, E. [0000-0003-2958-3492] | |
dc.identifier.orcid | Wormald, P.-J. [0000-0001-7753-7277] | |
dc.identifier.orcid | Psaltis, A.J. [0000-0003-2197-0797] [0000-0003-2967-1855] | |
dc.identifier.orcid | Vreugde, S. [0000-0003-4719-9785] | |
dc.identifier.orcid | Fenix, K. [0000-0003-1619-1406] | |
dc.identifier.uri | https://hdl.handle.net/2440/140423 | |
dc.language.iso | en | |
dc.publisher | Microbiology Society | |
dc.relation.grant | http://purl.org/au-research/grants/nhmrc/1196832 | |
dc.rights | 2024 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution. | |
dc.source.uri | http://dx.doi.org/10.1099/jmm.0.001799 | |
dc.subject | tumour microbiota; head and neck cancer; 16S rRNA sequencing; meta-analysis | |
dc.subject.mesh | Humans | |
dc.subject.mesh | RNA, Ribosomal, 16S | |
dc.subject.mesh | Consensus | |
dc.subject.mesh | Head and Neck Neoplasms | |
dc.subject.mesh | Microbiota | |
dc.subject.mesh | Bacteria | |
dc.subject.mesh | Tumor Microenvironment | |
dc.title | Identification of consensus head and neck cancer-associated microbiota signatures: a systematic review and meta-analysis of 16S rRNA and The Cancer Microbiome Atlas datasets | |
dc.type | Journal article | |
pubs.publication-status | Published |
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