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  • Title: The overexpression of p16 is not a surrogate marker for high-risk human papilloma virus genotypes and predicts clinical outcomes for vulvar cancer.
    Author: Sznurkowski JJ, Żawrocki A, Biernat W.
    Journal: BMC Cancer; 2016 Jul 13; 16():465. PubMed ID: 27411473.
    Abstract:
    BACKGROUND: We aimed to evaluate the correlation between p16(ink4a)-overexpression and high risk (hr)HPV-DNA in vulvar squamous cell carcinoma (vSCC) tumors as well as the impact of both biomarkers on the prognosis of vSCC patients. METHODS: PCR-detection of (hr)HPV-DNA and immunohistochemical staining for p16(ink4a) were conducted in 85 vSCC tumors. Survival analyses included the Kaplan-Meier method, log-rank test and Cox proportional hazards model. RESULTS: p16(ink4a)-overexpression and (hr)HPV-DNA were detected in 35 and 37 of the 85 tumors, respectively. Among the 35 p16(ink4a)-positive tumors, 10 lacked (hr)HPV-DNA (29 %). Among the 50 p16(ink4a)-negative tumors, (hr)HPV-DNA was detected in 12 cases (24 %). The median follow-up was 89.20 months (range 1.7-189.5 months). P16(ink4a)-overexpression, but not (hr)HPV-DNA positivity of the primary tumor, was correlated with prolonged overall survival (OS) (p = 0.009). P16(ink4a)-overexpression predicted a better response to radiotherapy (p < 0.001). Univariate analysis has demonstrated that age (p = 0.025), tumor grade (p = 0.001), lymph node metastasis (p < 0.001), FIGO stage (p < 0.001), p16(ink4a)-overexpression (p = 0.022), and adjuvant RTX (p < 0.001) were prognostic factors for OS. Multivariate analysis has demonstrated that lymph node metastasis (HR 1-2.74, 95 % CI 1.50-5.02, p = 0.019), tumor grade (HR 1-2.80, 95 % CI 1.33-5.90, p = 0.007) and p16(ink4a)-overexpression (HR 1-2.11, 95 % CI 1.13-3.95, p = 0.001) are independent prognostic factors. CONCLUSION: The discovered overlap suggests the use of p16(ink4a) in combination with HPV-DNA detection as an ancillary test for future research and clinical studies in vSCC. The prognostic and predictive value of p16(ink4a)-overexpression should be tested in larger cohort studies.
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