HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction?
The incidence of human papillomavirus (HPV)-related head and neck cancer (HNSCC) is rising globally, presenting challenges for optimized clinical management. To date, it remains unclear which biomarker best reflects HPV-driven carcinogenesis, a process that is associated with better therapeutic resp...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/13/18/4730 |
id |
doaj-d1c725b330df4665842698cc04ed489d |
---|---|
record_format |
Article |
spelling |
doaj-d1c725b330df4665842698cc04ed489d2021-09-25T23:50:41ZengMDPI AGCancers2072-66942021-09-01134730473010.3390/cancers13184730HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction?Jan Philipp Kühn0Wendelin Schmid1Sandrina Körner2Florian Bochen3Silke Wemmert4Hugo Rimbach5Sigrun Smola6Julia Caroline Radosa7Mathias Wagner8Luc G.T. Morris9Victoria Bozzato10Alessandro Bozzato11Bernhard Schick12Maximilian Linxweiler13Department of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyInstitute of Virology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Gynecology and Obstetrics, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of General and Surgical Pathology, Saarland University Medical Center, D-66421 Homburg, GermanyImmunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USADepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyDepartment of Otorhinolaryngology, Saarland University Medical Center, D-66421 Homburg, GermanyThe incidence of human papillomavirus (HPV)-related head and neck cancer (HNSCC) is rising globally, presenting challenges for optimized clinical management. To date, it remains unclear which biomarker best reflects HPV-driven carcinogenesis, a process that is associated with better therapeutic response and outcome compared to tobacco/alcohol-induced cancers. Six potential HPV surrogate biomarkers were analyzed using FFPE tissue samples from 153 HNSCC patients (<i>n</i> = 78 oropharyngeal cancer (OPSCC), <i>n</i> = 35 laryngeal cancer, <i>n</i> = 23 hypopharyngeal cancer, <i>n</i> = 17 oral cavity cancer): p16, CyclinD1, pRb, dual immunohistochemical staining of p16 and Ki67, HPV-DNA-PCR, and HPV-DNA-in situ hybridization (ISH). Biomarkers were analyzed for correlation with one another, tumor subsite, and patient survival. P16-IHC alone showed the best performance for discriminating between good (high expression) vs poor outcome (low expression; <i>p</i> = 0.0030) in OPSCC patients. Additionally, HPV-DNA-ISH (<i>p</i> = 0.0039), HPV-DNA-PCR (<i>p</i> = 0.0113), and p16-Ki67 dual stain (<i>p</i> = 0.0047) were significantly associated with prognosis in uni- and multivariable analysis for oropharyngeal cancer. In the non-OPSCC group, however, none of the aforementioned surrogate markers was prognostic. Taken together, P16-IHC as a single biomarker displays the best diagnostic accuracy for prognosis stratification in OPSCC patients with a direct detection of HPV-DNA by PCR or ISH as well as p16-Ki67 dual stain as potential alternatives.https://www.mdpi.com/2072-6694/13/18/4730head and neck cancerHPVprognosisbiomarkerp16 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jan Philipp Kühn Wendelin Schmid Sandrina Körner Florian Bochen Silke Wemmert Hugo Rimbach Sigrun Smola Julia Caroline Radosa Mathias Wagner Luc G.T. Morris Victoria Bozzato Alessandro Bozzato Bernhard Schick Maximilian Linxweiler |
spellingShingle |
Jan Philipp Kühn Wendelin Schmid Sandrina Körner Florian Bochen Silke Wemmert Hugo Rimbach Sigrun Smola Julia Caroline Radosa Mathias Wagner Luc G.T. Morris Victoria Bozzato Alessandro Bozzato Bernhard Schick Maximilian Linxweiler HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction? Cancers head and neck cancer HPV prognosis biomarker p16 |
author_facet |
Jan Philipp Kühn Wendelin Schmid Sandrina Körner Florian Bochen Silke Wemmert Hugo Rimbach Sigrun Smola Julia Caroline Radosa Mathias Wagner Luc G.T. Morris Victoria Bozzato Alessandro Bozzato Bernhard Schick Maximilian Linxweiler |
author_sort |
Jan Philipp Kühn |
title |
HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction? |
title_short |
HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction? |
title_full |
HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction? |
title_fullStr |
HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction? |
title_full_unstemmed |
HPV Status as Prognostic Biomarker in Head and Neck Cancer—Which Method Fits the Best for Outcome Prediction? |
title_sort |
hpv status as prognostic biomarker in head and neck cancer—which method fits the best for outcome prediction? |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2021-09-01 |
description |
The incidence of human papillomavirus (HPV)-related head and neck cancer (HNSCC) is rising globally, presenting challenges for optimized clinical management. To date, it remains unclear which biomarker best reflects HPV-driven carcinogenesis, a process that is associated with better therapeutic response and outcome compared to tobacco/alcohol-induced cancers. Six potential HPV surrogate biomarkers were analyzed using FFPE tissue samples from 153 HNSCC patients (<i>n</i> = 78 oropharyngeal cancer (OPSCC), <i>n</i> = 35 laryngeal cancer, <i>n</i> = 23 hypopharyngeal cancer, <i>n</i> = 17 oral cavity cancer): p16, CyclinD1, pRb, dual immunohistochemical staining of p16 and Ki67, HPV-DNA-PCR, and HPV-DNA-in situ hybridization (ISH). Biomarkers were analyzed for correlation with one another, tumor subsite, and patient survival. P16-IHC alone showed the best performance for discriminating between good (high expression) vs poor outcome (low expression; <i>p</i> = 0.0030) in OPSCC patients. Additionally, HPV-DNA-ISH (<i>p</i> = 0.0039), HPV-DNA-PCR (<i>p</i> = 0.0113), and p16-Ki67 dual stain (<i>p</i> = 0.0047) were significantly associated with prognosis in uni- and multivariable analysis for oropharyngeal cancer. In the non-OPSCC group, however, none of the aforementioned surrogate markers was prognostic. Taken together, P16-IHC as a single biomarker displays the best diagnostic accuracy for prognosis stratification in OPSCC patients with a direct detection of HPV-DNA by PCR or ISH as well as p16-Ki67 dual stain as potential alternatives. |
topic |
head and neck cancer HPV prognosis biomarker p16 |
url |
https://www.mdpi.com/2072-6694/13/18/4730 |
work_keys_str_mv |
AT janphilippkuhn hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT wendelinschmid hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT sandrinakorner hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT florianbochen hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT silkewemmert hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT hugorimbach hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT sigrunsmola hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT juliacarolineradosa hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT mathiaswagner hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT lucgtmorris hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT victoriabozzato hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT alessandrobozzato hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT bernhardschick hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction AT maximilianlinxweiler hpvstatusasprognosticbiomarkerinheadandneckcancerwhichmethodfitsthebestforoutcomeprediction |
_version_ |
1717367793520738304 |