The risk of the malignant transformation of oral leukoplakia (OLP) is difficult to predict by histopathology. Melanoma-associated antigen-A (MAGE-A) expression is restricted to malignant cells and may be useful for the more accurate estimation of the potential malignant transformation of pre-malignant lesions. The aim of the present study was to investigate whether the expression of MAGE-A can be used to predict the malignant transformation of OLP. Paraffin-embedded tissue samples of OLP from 74 patients followed-up for at least 5 years were included. A total of 24 progressing and 50 non-progressing OLP, 18 corresponding tumor and 30 healthy mucosa specimens were analysed for MAGE-A 1, 3, 4, 6 10 and 12 expression by nested real‑time RT-PCR and graded for dysplasia. In total, 46% of the progressing lesions expressed at least 1 out of the examined MAGE-A antigens, whereas no expression was detected in any of the non-progressing OLP and normal specimens. The correlation between malignant transformation and MAGE-A expression was statistically significant (p=0.00001). Furthermore, 42% of the progressing OLPs without dysplasia (D0) expressed at least 1 antigen. The correlation between the grade of dysplasia and MAGE-A staining in the malignant transformation group was not significant (p=0.08). The detection of at least 1 MAGE-A antigen may allow the identification of high-risk lesions that may progress into carcinoma with time. Therefore, the investigation of MAGE-A expression should be assessed in order to obtain a more accurate evaluation of the potential cancer risk of OLP.

PurposeOver-the-top (OTT) services, which provide streaming media through all devices in online setting, have surpassed the traditional content providers in the market. However, there is still no clear empirical evidence that indicates what recommendation agent values affect the users' search experience while using the OTT services and how it leads to continuous subscription. To address this gap, this study aims to examine recommendation agent values influencing search experience, which in turn affects decision satisfaction and continuance intention.Design/methodology/approachThis study empirically develops and tests a research model with data obtained from 212 survey respondents in Korea. Structural equation modeling with partial least square approach was used to analyze the data.Findings(1) Recommendation agent variables such as match score accuracy, recommended content variety and thumbnail image appeal affect search experience variables such as perceived diagnosticity and perceived serendipity; (2) perceived diagnosticity and perceived serendipity of search experience increase decision satisfaction; and (3) decision satisfaction increases intention to continue to subscribe to OTT services.Originality/valueDespite the widespread use of recommendation agents in OTT services, limited attention has been paid to understand what specific values of recommendation agents lead subscribers to continue their subscription. The findings of this study clarify subscribers' continuous subscription behavior in OTT services in terms of the recommendation agent values and search experience perspective.

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