Oropharyngeal HPV Detection Techniques in HPV-associated Head and Neck Cancer Patients.


Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 21 02 2020
revised: 09 03 2020
accepted: 11 03 2020
entrez: 3 4 2020
pubmed: 3 4 2020
medline: 11 4 2020
Statut: ppublish

Résumé

The incidence of human papilloma virus (HPV)-related head and neck squamous cell carcinoma (HNSCC) has been increasing in the last decades. Analysis of oral brushing or rinsing samples for screening or stratification could potentially improve screening and prevention. Oral brushes and mouthwashes were taken from 20 patients with HPV-associated HNSCC before definite therapy. HPV genotyping was performed for the detection of 14 high-risk HPV subtypes and correlated to DNA isolated from tumor tissue. Ten of 20 patients were tested HPV positive by using either method. There was a significant correlation between macroscopic visibility of tumor and positive HPV detection (p<0.001) and HPV detection and tumor size (p<0.001). HPV was detected in all macroscopically visible tumors. Half of the HPV cases who had macroscopically invisible tumors were missed by both methods. Both techniques are limited in the detection of macroscopically non-visible and small tumors. Therefore, the application of these techniques for screening or diagnosis of HNSCC is not recommended.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
The incidence of human papilloma virus (HPV)-related head and neck squamous cell carcinoma (HNSCC) has been increasing in the last decades. Analysis of oral brushing or rinsing samples for screening or stratification could potentially improve screening and prevention.
PATIENTS AND METHODS METHODS
Oral brushes and mouthwashes were taken from 20 patients with HPV-associated HNSCC before definite therapy. HPV genotyping was performed for the detection of 14 high-risk HPV subtypes and correlated to DNA isolated from tumor tissue.
RESULTS RESULTS
Ten of 20 patients were tested HPV positive by using either method. There was a significant correlation between macroscopic visibility of tumor and positive HPV detection (p<0.001) and HPV detection and tumor size (p<0.001). HPV was detected in all macroscopically visible tumors. Half of the HPV cases who had macroscopically invisible tumors were missed by both methods.
CONCLUSION CONCLUSIONS
Both techniques are limited in the detection of macroscopically non-visible and small tumors. Therefore, the application of these techniques for screening or diagnosis of HNSCC is not recommended.

Identifiants

pubmed: 32234904
pii: 40/4/2117
doi: 10.21873/anticanres.14170
doi:

Substances chimiques

DNA, Viral 0
Mouthwashes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2117-2123

Informations de copyright

Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Tanja K Eggersmann (TK)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Philipp Baumeister (P)

Department of Otorhinolaryngology, University Hospital, LMU Munich, Munich, Germany.

Jorg Kumbrink (J)

Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany.

Doris Mayr (D)

Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany.

Elisa Schmoeckel (E)

Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany.

Christian J Thaler (CJ)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Christian Dannecker (C)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Department for Gynecology and Obstetrics, University of Augsburg, Augsburg, Germany.

Udo Jeschke (U)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Department for Gynecology and Obstetrics, University of Augsburg, Augsburg, Germany.

Thomas Nagler (T)

Mathematical Institute, Leiden University, Leiden, the Netherlands.

Sven Mahner (S)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.

Kariem Sharaf (K)

Department of Otorhinolaryngology, University Hospital, LMU Munich, Munich, Germany kariem.sharaf@med.uni-muenchen.de.

Julia K S Gallwas (JKS)

Department of Obstetrics and Gynecology, University Hospital, LMU Munich, Munich, Germany.
Department of Gynecology and Obstetrics, Georg-August-University Goettingen, Goettingen, Germany.

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Classifications MeSH