PhD Scientific Days 2018

Budapest, April 19–20, 2018

The prognostic value of p16 expression in Hungarian oral squamous cell carcinoma patients

Vánkos, Borbála

Borbála Vánkos1
1 Semmelweis university, 2nd Department of Pathology, Budapest

Language of the presentation


Text of the abstract

Introduction: Smoking, alcohol consumption and human papillomavirus (HPV) infection are the most common risk factors of squamous cell carcinoma in the head and neck region (HNSCC). Since latter group associates with better prognosis, p16, marker of HPV-infection should be determined by immunohistochemistry. However, majority of the published studies focused on the whole head and neck region and did not separately handle cancers of different regions.

Aims: Our aim was to study the expression of p16 in oral squamous cell cancers (OSCC), and compare to routine clinicopathological parameters and traditional molecular markers (e.g. p53, Ki67, EGFR).

Method: 97 oral squamous cancer cases were available in the study. From paraffin-embedded surgical samples tissue microarray blocks were prepared and expression of p16 as well as p53, Ki67 and EGFR were analyzed by immunohistochemistry.

Results: According to traditional prognostic parameters (e.g. Stage, Grade) our p16-negative and positive HNSCC-cases showed similar distribution. Moreover, p16-positivity associated to better overall survival. In case of p16-negativity, earlier recurrent event occurred; however two groups did not differ during longer follow-up. Nuclear stabilization of p53 was appeared mainly in younger patients. EGFR, p53 and Ki67 did not associate with the outcome. Nevertheless, smoking and alcohol consumption proved to be very common within our cohort, which could modify the prognostic value of the commonly used molecular markers.

Conclusion: We concluded that traditional molecular categorization of HNSCC could be partly adaptable for Hungarian oral cancer cases. Potential co-exposition of common etiological factors (e.g. HPV, smoking, alcohol) could blur borders between distinct categories.

Data of the presenter

Doctoral School: Doctoral School of Pathological Sciences
Program: Oncology
Supervisor: József Tímár, István Kenessey
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