Concordance of p16

biomarkers head and neck cancer human papillomavirus

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
04 Aug 2022
Historique:
received: 01 07 2022
revised: 26 07 2022
accepted: 29 07 2022
entrez: 12 8 2022
pubmed: 13 8 2022
medline: 13 8 2022
Statut: epublish

Résumé

Background: Tests or test algorithms for diagnosing HPV-driven oral cavity and laryngeal head and neck carcinomas (HNC) have not been yet validated, and the differences among oral cavity and laryngeal sites have not been comprehensively evaluated. We aimed to assess the utility of a diagnostic algorithm for the detection of HPV-driven oral cavity (OCC), oropharyngeal (OPC) and laryngeal (LC) carcinomas using HPV-DNA testing followed by p16INK4a immunohistochemistry, taking E6*I mRNA detection as the reference standard. Methods: Formalin-fixed paraffin-embedded OCC, OPC, and LC carcinomas were collected from pathology archives in 29 countries. All samples were subjected to histopathological evaluation, DNA quality control, and HPV-DNA detection. All HPV-DNA-positive samples (including 78 OCC, 257 OPC, and 51 LC out of 3680 HNC with valid HPV-DNA results) were also tested for p16INK4a immunohistochemistry and E6*I mRNA. Three different cutoffs of nuclear and cytoplasmic staining were evaluated for p16INK4a: (a) >25%, (b) >50%, and (c) ≥70%. The concordance of p16INK4a and E6*I mRNA among HPV-DNA-positive OCC, OPC, and LC cases was assessed. Results: A total of 78 OCC, 257 OPC, and 51 LC were HPV-DNA-positive and further tested for p16INK4a and E6*I mRNA. The percentage of concordance between p16INK4a (cutoff ≥ 70%) and E6*I mRNA among HPV-DNA-positive OCC, OPC, and LC cases was 79.5% (95% CI 69.9−89.1%), 82.1% (95% CI 77.2−87.0%), and 56.9% (95% CI 42.3−71.4%), respectively. A p16INK4a cutoff of >50% improved the concordance although the improvement was not statistically significant. For most anatomical locations and p16INK4a cutoffs, the percentage of discordant cases was higher for HPV16- than HPV-non16-positive cases. Conclusions: The diagnostic algorithm of HPV-DNA testing followed by p16INK4a immunohistochemistry might be helpful in the diagnosis of HPV-driven OCC and OPC, but not LC. A different p16INK4a expression pattern was observed in those cases HPV-DNA-positive for types other than HPV16, as compared to HPV16-positive cases. Our study provides new insights into the use HPV-DNA, p16INK4a, and HPV-E6*I mRNA for diagnosing an HPV-driven HNC, including the optimal HPV test or p16INK4a cutoffs to be used. More studies are warranted to clarify the role of p16INK4a and HPV status in both OPC and non-OPC HNC.

Identifiants

pubmed: 35954451
pii: cancers14153787
doi: 10.3390/cancers14153787
pmc: PMC9367257
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Instituto de Salud Carlos III
ID : FIS PI081535, FIS PI1102096, FIS PI1102104, and CIBERESP CB06/02/007
Organisme : Asociación Española Contra el Cáncer
Organisme : Agency for Administration of University and Research
ID : 2017SGR1085

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Auteurs

Marisa Mena (M)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Xin Wang (X)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.

Sara Tous (S)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Beatriz Quiros (B)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Omar Clavero (O)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Maria Alejo (M)

Pathology Department, Hospital de Vic, 08500 Vic, Spain.
Pathology Department, Hospital General de l'Hopitalet, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.

Francisca Morey (F)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.

Miren Taberna (M)

Oncology Department, Catalan Institute of Oncology (ICO)-IDIBELL, ONCOBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.

Xavier Leon Vintro (X)

Otorhinolaryngology Department, Hospital Sant Pau, 08026 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Belén Lloveras Rubio (B)

Pathology Department, Hospital del Mar, 08003 Barcelona, Spain.

Llúcia Alos (L)

Pathology Department, Hospital Clinic, 08036 Barcelona, Spain.

Hisham Mehanna (H)

Institute of Head and Neck Studies and Education, University of Birmingham, Birmingham B15 2TT, UK.

Wim Quint (W)

DDL Diagnostic Laboratory, 2288 ER Rijswijk, The Netherlands.

Michael Pawlita (M)

Division of Molecular Diagnostics of Oncogenic Infections, Research Program Infection, Inflammation and Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.

Massimo Tommasino (M)

Infections and Cancer Biology Group, International Agency for Research on Cancer (IARC), 69372 Lyon, France.

Miguel Angel Pavón (MA)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Nubia Muñoz (N)

National Cancer Institute, Bogotá 111511, Colombia.

Silvia De Sanjose (S)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.
ISGlobal, 08036 Barcelona, Spain.

Francesc Xavier Bosch (FX)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.
Universitat Oberta de Catalunya, 08035 Barcelona, Spain.

Laia Alemany (L)

Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO)-IDIBELL, L'Hospitalet de Llobregat, 08908 Barcelona, Spain.
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain.

Classifications MeSH