Diagnostic accuracy of serum antibodies to human papillomavirus type 16 early antigens in the detection of human papillomavirus-related oropharyngeal cancer.

Published

Journal Article

BACKGROUND: Because of the current epidemic of human papillomavirus (HPV)-related oropharyngeal cancer (OPC), a screening strategy is urgently needed. The presence of serum antibodies to HPV-16 early (E) antigens is associated with an increased risk for OPC. The purpose of this study was to evaluate the diagnostic accuracy of antibodies to a panel of HPV-16 E antigens in screening for OPC. METHODS: This case-control study included 378 patients with OPC, 153 patients with nonoropharyngeal head and neck cancer (non-OPC), and 782 healthy control subjects. The tumor HPV status was determined with p16 immunohistochemistry and HPV in situ hybridization. HPV-16 E antibody levels in serum were identified with an enzyme-linked immunosorbent assay. A trained binary logistic regression model based on the combination of all E antigens was predefined and applied to the data set. The sensitivity and specificity of the assay for distinguishing HPV-related OPC from controls were calculated. Logistic regression analysis was used to calculate odds ratios with 95% confidence intervals for the association of head and neck cancer with the antibody status. RESULTS: Of the 378 patients with OPC, 348 had p16-positive OPC. HPV-16 E antibody levels were significantly higher among patients with p16-positive OPC but not among patients with non-OPC or among controls. Serology showed high sensitivity and specificity for HPV-related OPC (binary classifier: 83% sensitivity and 99% specificity for p16-positive OPC). CONCLUSIONS: A trained binary classification algorithm that incorporates information about multiple E antibodies has high sensitivity and specificity and may be advantageous for risk stratification in future screening trials. Cancer 2017;123:4886-94. © 2017 American Cancer Society.

Full Text

Duke Authors

Cited Authors

  • Dahlstrom, KR; Anderson, KS; Field, MS; Chowell, D; Ning, J; Li, N; Wei, Q; Li, G; Sturgis, EM

Published Date

  • December 15, 2017

Published In

Volume / Issue

  • 123 / 24

Start / End Page

  • 4886 - 4894

PubMed ID

  • 28898394

Pubmed Central ID

  • 28898394

Electronic International Standard Serial Number (EISSN)

  • 1097-0142

Digital Object Identifier (DOI)

  • 10.1002/cncr.30955

Language

  • eng

Conference Location

  • United States