MicroRNA-155, -185 and -193b as biomarkers in human papillomavirus positive and negative tonsillar and base of tongue squamous cell carcinoma

Publication date: July 2018
Source:Oral Oncology, Volume 82
Author(s): Cinzia Bersani, Michael Mints, Nikolaos Tertipis, Linnea Haeggblom, Anders Näsman, Mircea Romanitan, Tina Dalianis, Torbjörn Ramqvist
ObjectiveThree-year disease-free survival (DFS) is 80% for human papillomavirus (HPV) positive tonsillar and base of tongue cancer (TSCC/BOTSCC) treated with radiotherapy alone, and today's intensified therapy does not improve prognosis. More markers are therefore needed to more accurately identify patients with good prognosis or in need of alternative therapy. Here, microRNAs (miRs) 155, 185 and 193b were examined as potential prognostic markers in TSCC/BOTSCC.Material and methods168 TSCC/BOTSCC patients diagnosed 2000–2013, with known data on HPV-status, CD8⁺ tumour infiltrating lymphocytes, tumour staging and survival were examined for expression of miR-155, -185 and -193b using Real-Time PCR. Associations between miR expression and patient and tumour characteristics were analysed using univariate testing and multivariate regression.ResultsTumours compared to normal tonsils showed decreased miR-155 and increased miR-193b expression. miR-155 expression was associated with HPV-positivity, low T-stage, high CD8⁺ TIL counts and improved survival. miR-185 expression was associated with HPV-negativity and a tendency towards decreased survival, while miR-193b expression was associated with higher T-stage, male gender and lower CD8⁺ TIL counts, but not with outcome. Upon Cox regression, miR-185 was the only miR significantly associated with survival. Combining miR-155 and miR-185 to predict outcome in HPV⁺ patients yielded an area under curve (AUC) of 71%.ConclusionIncreased miR-155 expression was found as a positive predictor of survival, with the effect mainly due to its association with high CD8⁺ TIL numbers, while miR-185 independently associated with decreased survival. Addition of these miRs to previously validated prognostic biomarkers could improve patient stratification accuracy.



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