Literature DB >> 24518594

Correlation between human papillomavirus and p16 overexpression in oropharyngeal tumours: a systematic review.

C Grønhøj Larsen1, M Gyldenløve2, D H Jensen1, M H Therkildsen3, K Kiss3, B Norrild4, L Konge5, C von Buchwald1.   

Abstract

BACKGROUND: A significant proportion of squamous cell carcinomas of the oropharynx (OP-SCC) are related to human papillomavirus (HPV) infection and p16 overexpression. This subgroup proves better prognosis and survival but no evidence exists on the correlation between HPV and p16 overexpression based on diagnostic measures and definition of p16 overexpression. We evaluated means of p16 and HPV diagnostics, and quantified overexpression of p16 in HPV-positive and -negative OP-SCCs by mode of immunohistochemical staining of carcinoma cells.
METHODS: PubMed, Embase, and the Cochrane Library were searched from 1980 until October 2012. We applied the following inclusion criteria: a minimum of 20 cases of site-specific OP-SCCs, and HPV and p16 results present. Studies were categorised into three groups based on their definition of p16 overexpression: verbal definition, nuclear and cytoplasmatic staining between 5 and 69%, and ≥70% staining.
RESULTS: We identified 39 studies with available outcome data (n=3926): 22 studies (n=1980) used PCR, 6 studies (n=688) used ISH, and 11 studies (n=1258) used both PCR and ISH for HPV diagnostics. The methods showed similar HPV-positive results. Overall, 52.5% of the cases (n=2062) were HPV positive. As to p16 overexpression, 17 studies (n=1684) used a minimum of 5-69% staining, and 7 studies (n=764) used ≥70% staining. Fifteen studies (n=1478) referred to a verbal definition. Studies showed high heterogeneity in diagnostics of HPV and definition of p16. The correlation between HPV positivity and p16 overexpression proved best numerically in the group applying ≥70% staining for p16 overexpression. The group with verbal definitions had a significantly lower false-positive rate, but along with the group applying 5-69% staining showed a worse sensitivity compared with ≥70% staining.
CONCLUSIONS: There are substantial differences in how studies diagnose HPV and define p16 overexpression. Numerically, p16 staining is better to predict the presence of HPV (i.e. larger sensitivity), when the cutoff is set at ≥70% of cytoplasmatic and nuclear staining.

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Year:  2014        PMID: 24518594      PMCID: PMC3960616          DOI: 10.1038/bjc.2014.42

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Oral and pharyngeal cancers are the sixth most frequent tumour with over 482 000 new cases and 273 000 deaths worldwide in 2008 (Ferlay ). The role of high-risk human papillomavirus (HR-HPV) in the carcinogenesis of the uterine cervix is well recognised (Bosch ), and owing to numerous studies in the past 10 years, HR-HPV is now also a well-known risk factor in oropharyngeal squamous cell carcinomas (OPSCCs) in addition to established factors such as tobacco and alcohol exposure (Dayyani ). Compared with other head and neck squamous cell carcinomas (HNSCCs), HPV-related OPSCCs have different epidemiology, histopathological characteristics, therapeutic response, and clinical outcome (Shah and Patel, 2003; Fakhry and Gillison, 2006; De Vita ; Robinson ; Westra, 2012). The small, non-enveloped, DNA virus HPV belongs to the Papillomaviridae family and is known commonly to infect squamous epithelial cells (Doorbar ). Cell morphology alone is insufficient to determine the presence of HPV (Lewis ), although HPV-positive oropharyngeal cancers are often characterised histologically by a non-keratinising or basaloid morphologic pattern. Two techniques are generally used to diagnose HPV: polymerase chain reaction (PCR) and in situ hybridisation (ISH). Both have strengths and limitations. Human papillomavirus-specific PCR is not routinely available in most diagnostic laboratories; few HPV PCR tests are approved for clinical use, and the method requires a high level of technical skills and special laboratory facilities to prevent contamination. When applied to extracts made from fresh-frozen biopsy samples, the highest sensitivity is obtained, but the PCR analysis does not distinguish the mere presence of HPV from a clinically relevant HPV infection, where the HPV genome is often integrated into the host genome and actively transcribes HPV oncoproteins. Detection of HPV with ISH provides evidence of viral genomes through mRNA or DNA present in the tumour nuclei and is highly specific, although less sensitive than PCR (Robinson ). This method does not differentiate between integrated and non-integrated genomes. The presence of HR-HPV DNA is insufficient to classify accurately tumours as an HPV infection as it may be biologically inactive and not the cause of malignancy. Along with HPV diagnostics, immunohistochemical detection of p16 (p16-IHC) is often used as a surrogate marker for HPV infection and an activity of viral oncoproteins. P16 is a tumour suppressor gene that inhibits cyclin-dependent kinase 4A. In the presence of transcriptionally active HPV, hypophosphorylated retinoblastoma protein (pRb) bind to the HPV oncoprotein E7, allowing the transcriptional activator E2F to be constitutionally active while effectively stopping the negative feedback of free pRb on p16. Overexpression of p16 ensues. Independent of treatment modality, OPSCC patients with p16 overexpression have better prognosis and clinical outcome (Langendijk and Psyrri, 2010). P16-IHC is generally accessible and its technical costs are estimated to be 2–16 times lower than other HPV-specific tests (Lewis, 2012). Several studies have reported difficulties in HPV and p16 diagnostics, as there is no consensus on defining overexpression of p16 by a clear percentage cutoff level, and definitions vary from ⩾5%, ⩾75% to numerous less specific verbal definitions, for example, ‘diffuse and strong nuclear and cytoplasmatic staining' (Smeets ; Lewis, 2012). This may be problematic because different staining patterns can correlate differently to HPV-positive and -negative tumours, and staining patterns may ultimately distinguish transcriptionally from non-transcriptionally active HPV infections and thereby help determine prognosis and clinical outcomes. The aim of this systematic review was to define and categorise overexpression of p16 based on immunohistochemical staining and correlate the categories to HPV-positive and -negative OP-SCCs.

Methods

Search strategy and selection criteria

One author (CGL) undertook electronic literature searches within PubMed (Medline), Embase, and the Cochrane Library. The search strategy was as follows including MESH terms and keywords: ‘HPV' or ‘papillomavirus' or ‘papillomaviridae' and ‘p16' or ‘cdkn2a' or ‘cyclin-dependent kinase inhibitor p16' or ‘p16 genes' and ‘oropharynx' or ‘oropharyngeal' or ‘palatine tonsil' or ‘tonsil' or ‘palatine' or ‘tongue' or ‘mouth' or ‘oral'. Two authors (CGL and MG) independently reviewed the relevance of all resulting study titles and abstracts identified through the above search, and full-text copies of potentially eligible articles were assessed. Finally, one author (CGL) reviewed reference lists of the initially included studies. Studies with identical authors were contacted to avoid including the same study population twice. We included all studies published in English from January 1980 to October 2012 regardless of funding source. The inclusion criteria were restricted to: age above 18 years, a minimum 20 cases of site-specific OP-SCCs (morphologic variants were included), and HPV and p16 results stated.

Data synthesis

Two authors (CGL and MG) independently extracted relevant data from the included studies and entered them into a piloted data extraction form. The following information were recorded: country, year(s) of biopsy collection, demographics, number of cases, tumour site (base of tongue, palatine tonsils, or other), tumour morphology (keratinising, non-keratinising, or mixed), histopathological grade (carcinoma in situ, poor, moderate, or high differentiation), IHC staining probe, definition of p16 overexpression, biopsy preservation (fresh frozen or paraffin embedded), IHC evaluation by pathologists (yes or no), HPV results (negative or HPV-16, HPV-18, HPV-33, HPV-35, and HPV-58 positive), HPV diagnostics (HPV DNA PCR, HPV DNA ISH, and HPV DNA ISH followed by PCR, HPV RNA RT–PCR, and HPV RNA ISH), and the number of p16-positive and negative cases. Included studies were categorised into three groups by their definition of p16 overexpression: (a) a verbal definition (e.g. ‘Cases were classified in a binary manner as either positive (any cells with nuclear and cytoplasmatic staining) or negative'), (b) 5–69% nuclear and cytoplasmatic staining, and (c) ⩾70% staining.

Statistical analysis

Statistics were carried out using IBM SPSS Statistics 19.0 (IBM SPSS, Chicago, IL, USA). Descriptive statistics are presented as actual numbers and percentages, or median and range where appropriate. We conducted a meta-analysis using the bivariate model (Reitsma ). In the bivariate model, the logit-transformed sensitivities and specificities and the correlation between them across studies are modelled directly. The model accounts for sampling variability within studies and also account for between-study variability through the inclusion of random effects. In the preliminary meta-analyses for each definition of p16 positivity, we fitted the bivariate model separately for each test, and obtained a diagnostic odds ratio, sensitivity, and specificity. Hierarchical summary receiver-operator curve (HSROC) was applied in the meta-analysis and is recommended in the current meta-analytic literature for diagnostic meta-analyses (Leeflang ). In addition, HSROCs were plotted with 95% CI. Afterwards, we compared the tests in two separate models, where the definitions used were included as covariates in a meta-regression. Variance components were estimated by restricted maximum likelihood, because of the number of studies and the heterogeneity of the included studies. Statistical analyses on meta-regression were performed in R using the mada package function reitsma.

Results

The initial literature search yielded a total of 778 records. From these, we manually selected 160 articles for full-text assessment, of which 112 articles were later excluded. Accordingly, 48 studies were left eligible for inclusion (Figure 1). Additional three studies were later identified through searching reference lists. Studies with identical authors were contacted and resolved in 12 studies excluded; 11 studies were confirmed duplicates by authors; and one study excluded without reply from authors. Thus, a total of 39 studies (n=3926) were included in the review (Table 1).
Figure 1

PRISMA diagram.

Table 1

Overview of studies

Author (year)CountryYearStudy yearsnAge (years)M/FHPV+AnalysisP16+P16 cutoff (%)P16 antibodySensitivity of p16 (%)Specificity of p16 (%)
Al-Swiahb et al (2010)
Taiwan
2010
1992–2008
220
51
206/14
33
PCR
36
⩾5% and <70
Clone unknown (Neomarkers, Fremont, CA, USA)
86
99
Ang et al (2010b)
USA
2010
2002–2005
323
Unknown
271/52
206
PCR
214
⩾70
E6H4 (MTM Laboratories AG, Heidelberg, Germany)
90
93
Charfi et al (2008)
France
2007
1987–2005
52
61
36/16
32
PCR
25
⩾5 and <70
E6H4 (MTM Laboratories AG, Heidelberg, Germany)
84
59
Chenevert and Chiosea (2012)
USA
2012
1956–1969 and 2007–2009
97
58
80/17
54
ISH
57
⩾70
G175-405 (BD Pharmingen, San Diego, CA, USA)
69 (second period: 86%)
80 (second period: 90%)
El-Mofty and Patil (2006)
USA
2006
Unknown
20
Unknown
Unknown
12
ISH
11
Verbal definition
Clone unknown (Novacastra Labs Ltd, Newcastle, UK
100
89
El-Mofty et al (2008)
USA
2008
Unknown
32
Unknown
28/4
22
ISH
26
⩾70
Clone unknown (Novacastra Labs Ltd, Newcastle, UK)
85
100
Evans et al (2011)
USA
2011
2000–2007
30
55
25/5
22
PCR and ISH
22
⩾70
JC8 (Lab Vision, Fisher Scientific, Pittsburgh, PA, USA)
NA
NA
Farshadpour et al (2011)
The Netherlands
2011
1980–2004
32
Unknown
Unknown
14
ISH
14
⩾70
Clone unknown (Neomarkers, Fremont, CA, USA)
93
100
Friedland et al (2012)
Australia
2011
1996–2008
20
Unknown
Unknown
19
PCR
19
Verbal definition
Clone unknown (Santa Cruz Biotechnology, Santa Cruz, CA, USA)
100
100
Gao et al (2013)
USA
2012
1997–2006
150
56
136/14
122
PCR
131
⩾5 and <70
E6H4 (MTM Laboratories AG, Heidelberg, Germany)
93
100
Hafkamp et al (2008)
The Netherlands
2008
1992–2001
81
58
59/22
33
PCR
37
⩾5 and <70
E6H4 (Dako, Glostrup, Denmark)
86
98
Hoffmann et al (2012)
Germany
2012
2004–2009
20
Unknown
16/4
12
ISH
14
⩾5 and <70
CINtecÒ (MTM Laboratories AG, Heidelberg, Germany
79
83
Holzinger et al (2012)
Germany
2012
1990–2008
196
57
146/50
97
PCR
54
Verbal definition
E6H4 (MTM Laboratories AG, Heidelberg, Germany)
78
59
Hong et al (2010)
Australia
2010
1987–2006
195
59
159/36
83
PCR
65
Verbal definition
JC2 (Neomarkers, Fremont, CA, USA)
95
84
Junor et al (2012)
Scotland
2012
1999–2001 and 2003–2005
254
60
182/72
133
PCR
94
Verbal definition
E6H4 (MTM Laboratories, Heidelberg, Germany)
95
46
Kim et al (2007)
South Korea
2007
1995–2005
52
Unknown
Unknown
38
PCR
37
Verbal definition
Unknown
NA
NA
Klussmann et al (2009)
Germany
2009
1997–2005
60
60
47/13
29
PCR
33/57
⩾5 and <70
16P04 (Neomarkers, Fremont, CA, USA)
NA
NA
Kuo et al (2008)
Taiwan
2008
1997–2005
92
51
79/13
69
PCR and ISH
49
⩾5 and <70
JC8 (Neomarkers, Fremont, CA, USA )
NA
NA
Laco et al (2011)
Crech Republic
2010
2000–2009
22
60
13/9
18
PCR
22
Verbal definition
CINtec (MTM Laboratories AG, Heidelberg, Germany)
NA
NA
Lewis et al (2010)
USA
2010
1997–2008
239
55
211/28
144
ISH
187
⩾5 and <70
Clone unknown (MTM Laboratories AG, Heidelberg, Germany)
74
90
Li et al (2007)
China
2007
1985–2004
49
58
37/12
9
PCR and ISH
11
Verbal definition
16p04 (Neomarkers, Fremont, CA, USA )
89
95
Licitra et al (2006)
Italy
2006
1990–1999
90
58
69/21
17
PCR
32
Verbal definition
Clone unknown (Neomarkers, Fremont, CA, USA )
NA
NA
Lindquist et al (2012)
Sweden
2012
1970–2002
73
59
59/14
36
ISH
40
⩾5 and <70
Clone unknown (Pharmingen, San Diego, CA, USA)
73
60
Mellin Dahlstrand et al (2005)
Sweden
2005
1983–1999
51
63
39/12
25
PCR
27
⩾5 and <70
E6H4 (DakoCytomation A/S, Carpinteria, CA, USA)
74
79
Mills et al (2012)
USA
2012
Unknown
62
Unknown
Unknown
33
PCR and ISH
37
⩾5 and <70
E6H4, predilute, Tris (pH 9.0) (MTM Laboratories Inc., Westborough, MA, USA)
NA
NA
Nichols et al (2009)
USA
2008
Unknown
44
Unknown
35/9
27
PCR
29
Verbal definition
Clone unknown (MTM Laboratories, Heidelberg, Germany)
100
100
Ukpo et al (2011)
USA
2011
Unknown
211
56
188/23
153
ISH
148
Verbal definition
E6H4 (MTM, Laboratories Inc., Westborough, MA, USA)
98
90
Park et al (2012)
Korea
2011
2002–2007
93
62
80/13
53
PCR
46
Verbal definition
P2D11F11 (Novocastra Labs Ltd, Newcastle, UK)
100
85
Preuss et al (2008)
Germany
2008
1998–2005
106
57
77/29
30
PCR
61
Verbal definition
16p04 (Neomarkers, Fremont, CA, USA)
NA
NA
Quon et al (2013)
USA
2011
Unknown
48
Unknown
Unknown
36
PCR and ISH
35
Verbal definition
E6H4 (MTM Laboratories Inc., Westborough, MA, USA)
91
69
Reimers et al (2007)
Germany
2007
1997–2002
106
59
83/23
30
PCR
29
⩾5 and <70
16p04 (Neomarkers, Fremont, CA, USA )
86
86
Schache et al (2011b)
UK
2011
1988–2009
108
58
83/25
36
PCR and ISH
42
⩾70
CINtec (MTM Laboratories AG, Heidelberg, Germany)
NA
NA
Semrau et al (2012)
Germany
2012
2000–2008
52
56
42/10
15
PCR and ISH
17
⩾5 and <70
Clone unknown (Roche MTM Laboratories, Westborough, MA
NA
NA
Shi et al (2009)
Canada
2009
2003–2006
111
57
82/29
73
PCR and ISH
72
Verbal definition
CINtec (MTM Laboratories, Westborough, MA, USA)
NA
NA
Thavaraj et al (2011)
UK
2011
Unknown
142
58
108/34
100
PCR and ISH
90
⩾70
CINtec (MTM Laboratories Westborough, MA, USA)
97
75
Ukpo et al (2012)
USA
2012
1996–2007
154
56
133/21
89
ISH
104
Verbal definition
E6H4 (MTM Laboratories Inc., Westborough, MA, USA)
NA
NA
Weinberger et al (2010)
USA
2010
1980–1999
140
60
106/34
58
ISH
25
Verbal definition
JC8 (Abcam Corporation, Cambridge MA, USA)
100
57
Weiss et al (2012)
Germany
2012
Unknown
61
Unknown
Unknown
36
PCR
30
⩾5 and <70
Unknown
NA
NA
Zhao et al (2012)USA20122002–200638UnknownUnknown14ISH22Verbal definitionMAB4133 (Chemicon International Company/Millipore Corporation, Temecula, CA, USA)NANA

Abbreviations: HPV=human papillomavirus; ISH=in situ hybridisation; NA=not applicable; PCR=polymerase chain reaction.

In the pooled analysis of all studies with demographic information (n=3625), the majority of patients were male subjects (n=2921, 80.6%). Age ranged from 20 to 93 years with a median of 58 years. Thirty-four studies (n=3420 subjects) were European, Australian, or US based, and five studies (n=506 subjects) were Asian. Ethnicity was reported in 22 studies (n=2265), with 69.2% of these patients being Caucasian (n=1568), 11.9% (n=269) were of Asian origin, and 18.9% (n=428) had mixed ethnicity. Tumours were represented throughout the oropharynx, but were primarily located in the palatine tonsils (n=1420, 36.2%). Tumours at the base of the tongue (n=414, 10.5 %) and of unspecified location represent the remaining (n=2092, 53.3%) (Table 2).
Table 2

Patient characteristics

DemographicsTotal (n=3926)
Age, median (range)
58 (20–93)
Sexa, n=3625
Male2921
Female
704
Country, n=3926
Europe1446
Australia215
USA1759
Asia
506
Ethinicity, n=3926
Caucasian1568
Asian269
Mixed428
Unspecified
1661
Tumour origin, n=3926
Base of tongue414
Palatine tonsils1420
Unspecified/oropharynx
2092
Definition of p16 overexpression, n=3926
Staining equals or exceeds 70% of nuclei and cytoplasm764
Staining between 5 and 69% of nuclei and cytoplasm1684
Verbal definition1478

N=301 subject's sex is unknown.

A total of 52.5% cases (n=2062) were found HPV positive by PCR, ISH, or both. For HPV diagnostics, 22 studies (n=1980) used PCR, 6 studies (n=668) used ISH, and 11 studies (n=1258) used both techniques. In the PCR-based HPV-testing group, 49.6% (n=984) of cases were said to be positive and 59.8% of cases (n=412) were positive in the ISH group, whereas 52.9% (n=666) were positive when both diagnostic approaches were used. The definition of p16 overexpression varied, but all studies dichotomised the results to either negative or positive. In the pooled analysis, p16 overexpression was shown by 37.6% (n=1478) of subjects based on a verbal definition, by 42.9% (n=1684) of subjects based on staining between 5 and 69%, and finally, by 19.5% (n=764) of subjects based on staining equal to or exceeding 70% (Table 2). Centres placed in the United States defined p16 as positive when staining was between 5 and 69% (6 centres, n=770) or based on staining equal to or exceeding 70% (4 centres, n=482). Six centres (n=507) used a verbal definition. European centres either defined p16 as positive when staining was between 5 and 69% (9 centres, n=602) or based on staining exceeding 70% (3 centres, n=282). Four centres (n=562) used a verbal definition. Three centres (n=194) in Asia used a verbal definition, and two centres (n=312) defined p16 as positive when staining was between 5 and 69%. No Asian centres defined p16 as positive based on staining equal to or exceeding 70%. Eleven studies (n=861) reported data on histopathologic grade (poorly differentiated, moderate differentiated, highly differentiated, or carcinoma in situ), and six studies (n=634) reported status on tumour morphology (keratinising, non-keratinising, mixed, or unknown). The limited availability of data on tumour morphology did not allow us to examine systematically to what degree the non-keratinising tumours were related to the presence of HPV, as has been observed previously. We found no trends regarding publication year and definition of p16, likely owing to the fact that the included studies were all published in the past 10 years. Twenty-five studies (n=2888) provided sufficient information to construct a two-by-two table of both p16-negative/-positive and HPV-negative/-positive biopsies. The correlation between HPV and p16 overexpression was numerically greater, when positivity was defined as staining above ⩾70% with a sensitivity of 0.927 (95% CI: 0.793–0.974). The verbal group and >5–<70% group had a sensitivity of 0.791 (95% CI: 0.608–0.888) and 0.894 (95% CI: 0.805–0.942), respectively. The false-positive rate of 0.059 (95% CI: 0.031–0.112) for the verbal group was superior to the rate of 0.201 (95% Cl: 0.12–0.337) of p16 ⩾70% (see Figure 2).
Figure 2

Hierarchical summary receiver-operator curve (HSROC) of the studies from Table 1. The studies have been divided into three groups based on their definition of p16 staining: a verbal group, a <70% group, and a >70% group, including 95% CIs for the summary point. The verbal group has a lower false discovery rate, while the >70% group had a greater overall sensitivity and a smaller 95% CI.

Discussion

This is the first systematic review exploring the correlation between HPV infection and p16 overexpression in OPSCCs. This review shows that p16 overexpression correlates numerically better to HPV results if staining of tumour cells exceeds 70% rather than lower percentages or positivity based on a verbal definition. The issue of determining a specific cutoff value for p16 positivity has earlier been addressed in smaller samples supporting staining above 75% or staining above 50% combined with >25% confluent areas to define p16 positivity (Begum and Westra, 2008). We found no statistically significant difference between groups of p16 definition correlated to HPV, which may be because of the great heterogeneity among studies, including different p16 antibodies. In addition, ISH and PCR methods vary from centre to centre, leading to a loss of statistical power to detect differences. The explanation might also be that all p16 groups are equally correlated to HPV status; thus, the level of p16 staining is less important and the status of positivity or negativity is evident for a given staining, that is, most p16-positive tumours are above 70% when positive. Histopathologic grade and morphology was insufficiently reported and an agreement on a grading scheme applicable to OPSCC and consensus on reporting data is important for future research. As to p16 antibodies, an FDA-approved recommendation might be profitable to uniform research methods. It is widely assumed that HPV-related oropharyngeal cancers are poorly differentiated based on the immature appearance of the tumour cells, but in fact they are commonly highly differentiated as they emulate the specialised epithelium of the tonsillar crypts (Westra, 2009). Further data for analysis on this matter might question the challenge of interpreting p16-IHC in mixed and keratinising SSCs. In addition, it should be considered if carcinoma in situ should be included in future similar studies. In future studies applying p16-IHC and HPV diagnostics, the real value of IHC must be questioned once the site of the tumour is known (oropharynx) and the morphology is recognised (non-keratinising); the chance of a non-keratinising OPSCC being HPV positive is still not known. Previous data report a prevalence of HPV in OPSCC of 51%, which is similar to our results (O'Rorke ). Regardless if studies used PCR, ISH, or both, similar results were achieved. Oropharyngeal squamous cell carcinomas are characterised by a heterogeneous clinical and molecular profile (Huang ; Shah and Patel, 2003; Bosch ; De Vita ) and have interestingly proven to have a better prognostic outcome in cases with p16 overexpression (Lewis ; Ang ). P16-IHC is, however, a diagnostic method causing much debate, and concerns have been raised: p16 overexpression might be associated with functional pRb disturbances irrelevant for the HPV infection (Marur ). High-risk human papillomavirus-infected OPSCCs have not necessarily lost the 9p21 allele encoding p16 (Braakhuis ), and p16-IHC has been reported 100% sensitive but 79% specific as to carcinomas with HPV infection (Smeets ). P16-IHC is performed on just one slide of tumour tissue and staining might vary allowing false-negative results explaining a lower specificity. Lately, cutoff values above 70 or 75% have proven to be of wider use (Ang ; Evans ; Schache ) as compared with, e.g., values >10% as a ‘validated' definition of p16 overexpression. In a retrospective study based on material from The Danish Society for Head and Neck Oncology (DAHANCA), the cutoff value was changed in a Letter to the Editor after publication from >10 to >70% (Lassen and Overgaard, 2012). In conclusion, substantial differences exist in the definition of p16 overexpression and means of HPV diagnostics between studies. To achieve the highest correlation between p16-IHC and HPV results, we advise clinicians and researchers to define p16 overexpression as >70% staining of tumour cells. Future research in this field should report on p16 and HPV results, allowing a better understanding of the association between the two.
  60 in total

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Authors:  Niklas Reimers; Hans U Kasper; Soenke J Weissenborn; Hartmut Stützer; Simon F Preuss; Thomas K Hoffmann; Ernst Jan M Speel; Hans P Dienes; Herbert J Pfister; Orlando Guntinas-Lichius; Jens P Klussmann
Journal:  Int J Cancer       Date:  2007-04-15       Impact factor: 7.396

8.  Comparative prognostic value of HPV16 E6 mRNA compared with in situ hybridization for human oropharyngeal squamous carcinoma.

Authors:  Wei Shi; Hisayuki Kato; Bayardo Perez-Ordonez; Melania Pintilie; Shaohui Huang; Angela Hui; Brian O'Sullivan; John Waldron; Bernard Cummings; John Kim; Jolie Ringash; Laura A Dawson; Patrick Gullane; Lillian Siu; Maura Gillison; Fei-Fei Liu
Journal:  J Clin Oncol       Date:  2009-11-02       Impact factor: 44.544

9.  Basaloid squamous cell carcinoma of the head and neck is a mixed variant that can be further resolved by HPV status.

Authors:  Shanaz Begum; William H Westra
Journal:  Am J Surg Pathol       Date:  2008-07       Impact factor: 6.394

10.  Transoral robotic surgery and adjuvant therapy for oropharyngeal carcinomas and the influence of p16 INK4a on treatment outcomes.

Authors:  Harry Quon; Marc A Cohen; Kathleen T Montone; Amy F Ziober; Li Ping Wang; Gregory S Weinstein; Bert W O'Malley
Journal:  Laryngoscope       Date:  2013-02-01       Impact factor: 3.325

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  61 in total

1.  Development and Validation of Nomograms Predictive of Overall and Progression-Free Survival in Patients With Oropharyngeal Cancer.

Authors:  Carole Fakhry; Qiang Zhang; Phuc Felix Nguyen-Tân; David I Rosenthal; Randal S Weber; Louise Lambert; Andy M Trotti; William L Barrett; Wade L Thorstad; Christopher U Jones; Sue S Yom; Stuart J Wong; John A Ridge; Shyam S D Rao; James A Bonner; Eric Vigneault; David Raben; Mahesh R Kudrimoti; Jonathan Harris; Quynh-Thu Le; Maura L Gillison
Journal:  J Clin Oncol       Date:  2017-08-04       Impact factor: 44.544

2.  Human papillomavirus and overall survival after progression of oropharyngeal squamous cell carcinoma.

Authors:  Carole Fakhry; Qiang Zhang; Phuc Felix Nguyen-Tan; David Rosenthal; Adel El-Naggar; Adam S Garden; Denis Soulieres; Andy Trotti; Vilija Avizonis; John Andrew Ridge; Jonathan Harris; Quynh-Thu Le; Maura Gillison
Journal:  J Clin Oncol       Date:  2014-06-23       Impact factor: 44.544

3.  Transcriptionally Active High-Risk Human Papillomavirus is Not a Common Etiologic Agent in the Malignant Transformation of Inverted Schneiderian Papillomas.

Authors:  Lisa M Rooper; Justin A Bishop; William H Westra
Journal:  Head Neck Pathol       Date:  2017-02-08

4.  Prognostic Value of p16 Status on the Development of a Complete Response in Involved Oropharynx Cancer Neck Nodes After Cisplatin-Based Chemoradiation: A Secondary Analysis of NRG Oncology RTOG 0129.

Authors:  Thomas J Galloway; Qiang Ed Zhang; Phuc Felix Nguyen-Tan; David I Rosenthal; Denis Soulieres; André Fortin; Craig L Silverman; Megan E Daly; John A Ridge; J Alexander Hammond; Quynh-Thu Le
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-05-28       Impact factor: 7.038

5.  Human papilloma virus status of penile squamous cell carcinoma is associated with differences in tumour-infiltrating T lymphocytes.

Authors:  Philipp Lohneis; Sengül Boral; Andreas M Kaufmann; Annika Lehmann; Christiane Schewe; Manfred Dietel; Ioannis Anagnostopoulos; Korinna Jöhrens
Journal:  Virchows Arch       Date:  2014-12-28       Impact factor: 4.064

Review 6.  Molecular Aspects of Head and Neck Cancer Therapy.

Authors:  Sidharth V Puram; James W Rocco
Journal:  Hematol Oncol Clin North Am       Date:  2015-10-17       Impact factor: 3.722

7.  Prognostic value of p16 expression in Epstein-Barr virus-positive nasopharyngeal carcinomas.

Authors:  Wen Jiang; Paul D Chamberlain; Adam S Garden; Betty Y S Kim; Dominic Ma; Emily J Lo; Diana Bell; G Brandon Gunn; Clifton D Fuller; David I Rosenthal; Beth M Beadle; Steven J Frank; William H Morrison; Adel K El-Naggar; Bonnie S Glisson; Erich M Sturgis; Jack Phan
Journal:  Head Neck       Date:  2015-11-11       Impact factor: 3.147

8.  Identification of genomic mutations associated with clinical outcomes of induction chemotherapy in patients with head and neck squamous cell carcinoma.

Authors:  Chan-Young Ock; Bongjun Son; Bhumsuk Keam; Seung-Youn Lee; Jaewoo Moon; Hwanjong Kwak; Sehui Kim; Tae Min Kim; Yoon Kyung Jeon; Seong Keun Kwon; J Hun Hah; Se-Hoon Lee; Tack-Kyun Kwon; Dong-Wan Kim; Hong-Gyun Wu; Myung-Whun Sung; Dae Seog Heo
Journal:  J Cancer Res Clin Oncol       Date:  2015-12-16       Impact factor: 4.553

9.  Prognostic factors for human papillomavirus-positive and negative oropharyngeal carcinomas.

Authors:  Linda X Yin; Gypsyamber D'Souza; William H Westra; Steven J Wang; Annemieke van Zante; Yuehan Zhang; Eleni M Rettig; William R Ryan; Patrick K Ha; Alicia Wentz; Wayne Koch; David W Eisele; Carole Fakhry
Journal:  Laryngoscope       Date:  2018-03-14       Impact factor: 3.325

10.  Identification of HPV16-p16INK4a mediated methylation in oral potentially malignant disorder.

Authors:  Maria Rosa Buenahora; Gloria Inés Lafaurie; Sandra J Perdomo
Journal:  Epigenetics       Date:  2020-11-09       Impact factor: 4.528

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