Study on the Salivary Microbial Alteration of Men With Head and Neck Cancer and Its Relationship With Symptoms in Southwest China
This study explored the association between oral microbes and head and neck cancer (HNC) as well as symptoms related to patients with HNC before surgical treatment. Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic...
Ausführliche Beschreibung
Autor*in: |
Hao-Jiang Zuo [verfasserIn] Mei R. Fu [verfasserIn] Hui-Ling Zhao [verfasserIn] Xin-Wen Du [verfasserIn] Zi-Yi Hu [verfasserIn] Xun-Ying Zhao [verfasserIn] Xiao-Qin Ji [verfasserIn] Xian-Qiong Feng [verfasserIn] Wuerken Zhumajiang [verfasserIn] Ting-Hui Zhou [verfasserIn] Ya-Li Tian [verfasserIn] Xiao-Fang Pei [verfasserIn] Rong Yu [verfasserIn] Xiu-Ying Hu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Frontiers in Cellular and Infection Microbiology - Frontiers Media S.A., 2016, 10(2020) |
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Übergeordnetes Werk: |
volume:10 ; year:2020 |
Links: |
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DOI / URN: |
10.3389/fcimb.2020.514943 |
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Katalog-ID: |
DOAJ075977095 |
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10.3389/fcimb.2020.514943 doi (DE-627)DOAJ075977095 (DE-599)DOAJ248f4a4cbe9847c9996d8121f538e5ef DE-627 ger DE-627 rakwb eng QR1-502 Hao-Jiang Zuo verfasserin aut Study on the Salivary Microbial Alteration of Men With Head and Neck Cancer and Its Relationship With Symptoms in Southwest China 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study explored the association between oral microbes and head and neck cancer (HNC) as well as symptoms related to patients with HNC before surgical treatment. Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic, clinical, and symptom data were collected. Salivary samples were collected to determine the microbial characteristics using 16S rRNA gene sequencing. Patients with HNC presented increased Capnocytophaga abundances. The oral microbial markers as Capnocytophaga (area under the curve=0.81) achieved a high classification power between the HNC patients and healthy controls. Moreover, using Capnocytophaga in conjunction with symptom of voice/speech difficulty achieved an overall predicting accuracy of 92.5% comparing with using Capnocytophaga alone (79.2% accuracy) in distinguishing the HNC patients from healthy controls. Salivary microbial profiles and HNC symptoms may be potential biomarkers for HNC screening. head and neck cancer (HNC) saliva microbiota 16S rRNA gene sequencing symptom geographical biomarkers Microbiology Hao-Jiang Zuo verfasserin aut Mei R. Fu verfasserin aut Hui-Ling Zhao verfasserin aut Xin-Wen Du verfasserin aut Zi-Yi Hu verfasserin aut Xun-Ying Zhao verfasserin aut Xiao-Qin Ji verfasserin aut Xian-Qiong Feng verfasserin aut Wuerken Zhumajiang verfasserin aut Wuerken Zhumajiang verfasserin aut Ting-Hui Zhou verfasserin aut Ya-Li Tian verfasserin aut Xiao-Fang Pei verfasserin aut Rong Yu verfasserin aut Xiu-Ying Hu verfasserin aut Xiu-Ying Hu verfasserin aut In Frontiers in Cellular and Infection Microbiology Frontiers Media S.A., 2016 10(2020) (DE-627)664968554 (DE-600)2619676-1 22352988 nnns volume:10 year:2020 https://doi.org/10.3389/fcimb.2020.514943 kostenfrei https://doaj.org/article/248f4a4cbe9847c9996d8121f538e5ef kostenfrei https://www.frontiersin.org/articles/10.3389/fcimb.2020.514943/full kostenfrei https://doaj.org/toc/2235-2988 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 |
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2020-01-01T00:00:00Z |
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Study on the Salivary Microbial Alteration of Men With Head and Neck Cancer and Its Relationship With Symptoms in Southwest China |
abstract |
This study explored the association between oral microbes and head and neck cancer (HNC) as well as symptoms related to patients with HNC before surgical treatment. Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic, clinical, and symptom data were collected. Salivary samples were collected to determine the microbial characteristics using 16S rRNA gene sequencing. Patients with HNC presented increased Capnocytophaga abundances. The oral microbial markers as Capnocytophaga (area under the curve=0.81) achieved a high classification power between the HNC patients and healthy controls. Moreover, using Capnocytophaga in conjunction with symptom of voice/speech difficulty achieved an overall predicting accuracy of 92.5% comparing with using Capnocytophaga alone (79.2% accuracy) in distinguishing the HNC patients from healthy controls. Salivary microbial profiles and HNC symptoms may be potential biomarkers for HNC screening. |
abstractGer |
This study explored the association between oral microbes and head and neck cancer (HNC) as well as symptoms related to patients with HNC before surgical treatment. Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic, clinical, and symptom data were collected. Salivary samples were collected to determine the microbial characteristics using 16S rRNA gene sequencing. Patients with HNC presented increased Capnocytophaga abundances. The oral microbial markers as Capnocytophaga (area under the curve=0.81) achieved a high classification power between the HNC patients and healthy controls. Moreover, using Capnocytophaga in conjunction with symptom of voice/speech difficulty achieved an overall predicting accuracy of 92.5% comparing with using Capnocytophaga alone (79.2% accuracy) in distinguishing the HNC patients from healthy controls. Salivary microbial profiles and HNC symptoms may be potential biomarkers for HNC screening. |
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This study explored the association between oral microbes and head and neck cancer (HNC) as well as symptoms related to patients with HNC before surgical treatment. Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic, clinical, and symptom data were collected. Salivary samples were collected to determine the microbial characteristics using 16S rRNA gene sequencing. Patients with HNC presented increased Capnocytophaga abundances. The oral microbial markers as Capnocytophaga (area under the curve=0.81) achieved a high classification power between the HNC patients and healthy controls. Moreover, using Capnocytophaga in conjunction with symptom of voice/speech difficulty achieved an overall predicting accuracy of 92.5% comparing with using Capnocytophaga alone (79.2% accuracy) in distinguishing the HNC patients from healthy controls. Salivary microbial profiles and HNC symptoms may be potential biomarkers for HNC screening. |
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Study on the Salivary Microbial Alteration of Men With Head and Neck Cancer and Its Relationship With Symptoms in Southwest China |
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Fifty-six patients with HNC and 64 matched healthy controls were recruited from West China hospital in Southwest China. The demographic, clinical, and symptom data were collected. Salivary samples were collected to determine the microbial characteristics using 16S rRNA gene sequencing. Patients with HNC presented increased Capnocytophaga abundances. The oral microbial markers as Capnocytophaga (area under the curve=0.81) achieved a high classification power between the HNC patients and healthy controls. Moreover, using Capnocytophaga in conjunction with symptom of voice/speech difficulty achieved an overall predicting accuracy of 92.5% comparing with using Capnocytophaga alone (79.2% accuracy) in distinguishing the HNC patients from healthy controls. 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