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The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma

BACKGROUND: Oral mucositis is probably the most debilitating complication that can arise in treating a patient with head and neck cancer. Little is known about the impacts of oral microbiota on the initiation and progression of mucositis. METHODS: Based on 16S rRNA gene sequencing, dynamic changes i...

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Autores principales: Zhu, Xiao-Xia, Yang, Xiao-Jun, Chao, Yi-Lan, Zheng, Hui-Min, Sheng, Hua-Fang, Liu, Hai-Yue, He, Yan, Zhou, Hong-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405060/
https://www.ncbi.nlm.nih.gov/pubmed/28216066
http://dx.doi.org/10.1016/j.ebiom.2017.02.002
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author Zhu, Xiao-Xia
Yang, Xiao-Jun
Chao, Yi-Lan
Zheng, Hui-Min
Sheng, Hua-Fang
Liu, Hai-Yue
He, Yan
Zhou, Hong-Wei
author_facet Zhu, Xiao-Xia
Yang, Xiao-Jun
Chao, Yi-Lan
Zheng, Hui-Min
Sheng, Hua-Fang
Liu, Hai-Yue
He, Yan
Zhou, Hong-Wei
author_sort Zhu, Xiao-Xia
collection PubMed
description BACKGROUND: Oral mucositis is probably the most debilitating complication that can arise in treating a patient with head and neck cancer. Little is known about the impacts of oral microbiota on the initiation and progression of mucositis. METHODS: Based on 16S rRNA gene sequencing, dynamic changes in oral bacterial profile as well as correlations between the severity of mucositis and bacterial shifts during radiotherapy were investigated. FINDINGS: Our results revealed that bacterial community structure altered progressively during radiation therapy, in parallel with a marked increase in the relative abundance of some Gram-negative bacteria. Patients who eventually developed severe mucositis harbored a significantly lower bacterial alpha diversity and higher abundance of Actinobacillus during the phase of erythema – patchy mucositis. Accordingly, a random forest model for predicting exacerbation of mucositis was generated, which achieved a high predictive accuracy (AUC) of 0.89. INTERPRETATION: Oral microbiota changes correlate with the progression and aggravation of radiotherapy-induced mucositis in patients with nasopharyngeal carcinoma. Microbiota-based strategies can be used for the early prediction and prevention of the incidence of severe mucositis during radiotherapy.
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spelling pubmed-54050602017-05-05 The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma Zhu, Xiao-Xia Yang, Xiao-Jun Chao, Yi-Lan Zheng, Hui-Min Sheng, Hua-Fang Liu, Hai-Yue He, Yan Zhou, Hong-Wei EBioMedicine Research Paper BACKGROUND: Oral mucositis is probably the most debilitating complication that can arise in treating a patient with head and neck cancer. Little is known about the impacts of oral microbiota on the initiation and progression of mucositis. METHODS: Based on 16S rRNA gene sequencing, dynamic changes in oral bacterial profile as well as correlations between the severity of mucositis and bacterial shifts during radiotherapy were investigated. FINDINGS: Our results revealed that bacterial community structure altered progressively during radiation therapy, in parallel with a marked increase in the relative abundance of some Gram-negative bacteria. Patients who eventually developed severe mucositis harbored a significantly lower bacterial alpha diversity and higher abundance of Actinobacillus during the phase of erythema – patchy mucositis. Accordingly, a random forest model for predicting exacerbation of mucositis was generated, which achieved a high predictive accuracy (AUC) of 0.89. INTERPRETATION: Oral microbiota changes correlate with the progression and aggravation of radiotherapy-induced mucositis in patients with nasopharyngeal carcinoma. Microbiota-based strategies can be used for the early prediction and prevention of the incidence of severe mucositis during radiotherapy. Elsevier 2017-02-07 /pmc/articles/PMC5405060/ /pubmed/28216066 http://dx.doi.org/10.1016/j.ebiom.2017.02.002 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Zhu, Xiao-Xia
Yang, Xiao-Jun
Chao, Yi-Lan
Zheng, Hui-Min
Sheng, Hua-Fang
Liu, Hai-Yue
He, Yan
Zhou, Hong-Wei
The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma
title The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma
title_full The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma
title_fullStr The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma
title_full_unstemmed The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma
title_short The Potential Effect of Oral Microbiota in the Prediction of Mucositis During Radiotherapy for Nasopharyngeal Carcinoma
title_sort potential effect of oral microbiota in the prediction of mucositis during radiotherapy for nasopharyngeal carcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405060/
https://www.ncbi.nlm.nih.gov/pubmed/28216066
http://dx.doi.org/10.1016/j.ebiom.2017.02.002
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