2017
DOI: 10.1016/j.pathol.2017.04.002
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p16 expression in cutaneous squamous cell carcinoma of the head and neck is not associated with integration of high risk HPV DNA or prognosis

Abstract: Head and neck cutaneous squamous cell carcinoma (HNcSCC) can present with cervical metastases without an obvious primary. Immunohistochemistry for p16 is established as a surrogate marker of human papillomavirus (HPV) in oropharyngeal cancer. p16 expression in HNcSCC needs to be elucidated to determine its utility in predicting the primary site. The aim of this study was to evaluate the rate of p16 expression in HNcSCC and its association with prognostic factors and survival. p16 immunohistochemistry was perfo… Show more

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Cited by 26 publications
(18 citation statements)
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“…7 Furthermore, results of biomarker analyses can be notoriously inconsistent, making it difficult to draw robust conclusions. 8 Some studies might show negative or discrepant results, while the same biomarker might clearly demonstrate positive associations in other studies-for example, CCND1, 9 cMET, 10 p16, [10][11][12] EGFR, 13 and ERCC1. 14 challenges.…”
Section: Opportunities and Challenges In Biomarker Developmentmentioning
confidence: 99%
See 4 more Smart Citations
“…7 Furthermore, results of biomarker analyses can be notoriously inconsistent, making it difficult to draw robust conclusions. 8 Some studies might show negative or discrepant results, while the same biomarker might clearly demonstrate positive associations in other studies-for example, CCND1, 9 cMET, 10 p16, [10][11][12] EGFR, 13 and ERCC1. 14 challenges.…”
Section: Opportunities and Challenges In Biomarker Developmentmentioning
confidence: 99%
“…Furthermore, results of biomarker analyses can be notoriously inconsistent, making it difficult to draw robust conclusions . Some studies might show negative or discrepant results, while the same biomarker might clearly demonstrate positive associations in other studies—for example, CCND1, cMET, p16, EGFR, and ERCC1 . Plausible reasons for such discrepancies might include (a) small sample sizes with inadequate controls; (b) differing study populations with true clinical variability; (c) differing treatment modalities; (d) variations in the biomarker assay, for example, different technological platforms used for detection and measurement; (e) differences in the biomarker source, for example, tissue vs liquid biopsy, or fresh vs fixed tissue; (f) varied antibody specificities and binding affinities among different batches or vendors; (g) biomarker instability, with a risk of false positivity or false negativity; (h) differing statistical testing methods; and (i) other methodological differences between studies, for example, evaluation of mRNA vs protein expression …”
Section: Opportunities and Challenges In Biomarker Developmentmentioning
confidence: 99%
See 3 more Smart Citations