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https://hdl.handle.net/2440/140423
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Type: | Journal article |
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 |
Author: | Yeo, K. Li, R. Wu, F. Bouras, G. Mai, L.T.H. Smith, E. Wormald, P.-J. Valentine, R. Psaltis, A.J. Vreugde, S. Fenix, K. |
Citation: | Journal of Medical Microbiology, 2024; 73(2):001799-1-001799-18 |
Publisher: | Microbiology Society |
Issue Date: | 2024 |
ISSN: | 0022-2615 1473-5644 |
Statement of Responsibility: | 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 |
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. |
Keywords: | tumour microbiota; head and neck cancer; 16S rRNA sequencing; meta-analysis |
Description: | Published 01 February 2024 |
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. |
DOI: | 10.1099/jmm.0.001799 |
Grant ID: | http://purl.org/au-research/grants/nhmrc/1196832 |
Published version: | http://dx.doi.org/10.1099/jmm.0.001799 |
Appears in Collections: | Surgery publications |
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hdl_140423.pdf | Published version | 6.81 MB | Adobe PDF | View/Open |
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