Human papillomavirus 16/18 E7 viral loads predict distant metastasis in oral cavity squamous cell carcinoma

Highlights • We examine the effect of HPV viral load on distant metastases prediction in oral cavity cancer. • HPV 16/18 E7 viral loads are confirmed to be independent predictors of 5-year distant metastases. • We developed a novel prediction model comprising HPV and clinical factors for distant met...

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Bibliographic Details
Published in:Journal of clinical virology 2014-10, Vol.61 (2), p.230-236
Main Authors: Huang, Chung-Guei, Lee, Li-Ang, Tsao, Kuo-Chien, Liao, Chun-Ta, Yang, Lan-Yan, Kang, Chung-Jan, Chang, Kei-Ping, Huang, Shiang-Fu, Chen, I.-How, Yang, Shu-Li, Lee, Li-Yu, Hsueh, Chuen, Chen, Tse-Ching, Lin, Chien-Yu, Fan, Kang-Hsing, Chang, Tung-Chieh, Wang, Hung-Ming, Ng, Shu-Hang, Yen, Tzu-Chen
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Allergy and Immunology
Carcinoma, Squamous Cell - diagnosis
Carcinoma, Squamous Cell - secondary
Carcinoma, Squamous Cell - virology
Distant metastasis
DNA-Binding Proteins - genetics
Female
HPV
HPV 16
Human papillomavirus
Human papillomavirus 16
Human papillomavirus 16 - genetics
Human papillomavirus 16 - isolation & purification
Human papillomavirus 18 - genetics
Human papillomavirus 18 - isolation & purification
Humans
Infectious Disease
Male
Middle Aged
Mouth Neoplasms - complications
Mouth Neoplasms - diagnosis
Neoplasm Metastasis - diagnosis
Oncogene Proteins, Viral - genetics
Oral cavity squamous cell carcinoma
Outcome
Papillomavirus E7 Proteins - genetics
Real-Time Polymerase Chain Reaction
Retrospective Studies
Viral Load
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Summary:Highlights • We examine the effect of HPV viral load on distant metastases prediction in oral cavity cancer. • HPV 16/18 E7 viral loads are confirmed to be independent predictors of 5-year distant metastases. • We developed a novel prediction model comprising HPV and clinical factors for distant metastases. • This stratification system may help the prognostic evaluation of oral cavity cancer patients.
ISSN:1386-6532
1873-5967
DOI:10.1016/j.jcv.2014.07.007