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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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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. |
format | Online Article Text |
id | pubmed-5405060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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