HPV-relatedness definitions for classifying HPV-related oropharyngeal cancer patient do impact on TNM classification and patients' survival
Taberna, Miren (Universitat de Barcelona)
Mena, Marisa (Centro de Investigación Biomédica en Red de Cáncer)
Tous, Sara (Centro de Investigación Biomédica en Red de Cáncer)
Pavón, Miquel Angel (Centro de Investigación Biomédica en Red de Cáncer)
Oliva, Marc (Hospital Universitari de Bellvitge)
León i Vintró, Xavier (Institut d'Investigació Biomèdica Sant Pau)
Garcia Lorenzo, J (Institut d'Investigació Biomèdica Sant Pau)
Guix, Marta (Hospital del Mar (Barcelona, Catalunya))
Hijano, Rafael (Hospital del Mar (Barcelona, Catalunya))
Bonfill Abella, Teresa (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
Aguilà, Antón (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
Alemany, Laia (Centro de Investigación Biomédica en Red de Cáncer)
Mesia, Ricard (Institut Català d'Oncologia)
Universitat Autònoma de Barcelona

Date:	2018
Abstract:	Given the different nature and better outcomes of oropharyngeal carcinoma (OPC) associated with human papillomavirus (HPV) infection, a novel clinical stage classification for HPV-related OPC has been accepted for the 8 edition AJCC TNM (ICON-S model). However, it is still unclear the HPV-relatedness definition with best diagnostic accuracy and prognostic value. The aim of this study was to compare different staging system models proposed for HPV-related OPC patients: 7 edition AJCC TNM, RPA stage with non-anatomic factors (Princess Margaret), RPA with N categories for nasopharyngeal cancer (MD-Anderson) and AHR-new (ICON-S), according to different HPV-relatedness definitions: HPV-DNA detection plus an additional positive marker (p16 or HPV-mRNA), p16 positivity alone or the combination of HPV-DNA/p16 positivity as diagnostic tests. A total of 788 consecutive OPC cases diagnosed from 1991 to 2013 were considered eligible for the analysis. Of these samples, 66 (8. 4%) were positive for HPV-DNA and (p16 or HPV-mRNA), 83 (10. 5%) were p16 positive and 58 (7. 4%) were double positive for HPV-DNA/p16. ICON-S model was the staging system, which performed better in our series when using at least two biomarkers to define HPV-causality. When the same analysis was performed considering only p16-positivity, RPA stage with non-anatomic factors (Princess Margaret) has the best classification based on AIC criteria. HPV-relatedness definition for classifying HPV-related OPC patient do impact on TNM classification and patients' survival. Further studies assessing HPV-relatedness definitions are warranted to better classify HPV-related OPC patients in the era of de-escalation clinical trials.
Grants:	Ministerio de Economía y Competitividad PI14/01819 Ministerio de Economía y Competitividad PI15/00500 Ministerio de Ciencia e Innovación PI11/02096
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Published in:	PloS one, Vol. 13 Núm. 4 (april 2018) , p. e0194107, ISSN 1932-6203

DOI: 10.1371/journal.pone.0194107
PMID: 29664911

12 p, 2.3 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Parc Taulí Research and Innovation Institute (I3PT
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Institut de Recerca Sant Pau
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Articles > Published articles