Background: TCF7L2 gene is known as transcription factor 7-like 2 which has been identified as a novel transcription factor epithelial-mesenchymal transition (EMT) in tumor cells at 10q25.3. TCF7L2 may affect cancer progression and plays a central role in cancer proliferation, migration and invasion. However, its clinical and prognostic value have not been researched in glioma. The purpose of our study was to research TCF7L2 expression and evaluate the clinical value of prognosis.Method: We collected glioma specimens including low-grade glioma (n=46)and glioblastoma (n=51) from September 2015 to September 2017.Expression of TCF7L2 in 97 specimens were detected by quantitative real-time PCR (qRT-PCR).The chi-square test was applied to analyze the relationship between TCF7L2 expression and clinicopathological characteristics. The overall survival (OS) was analyzed by binary logistic regression analysis, the survival curves were drew by Kaplan-Meier. Univariate and multivariate analysis were utilized to analyze the relationship between prognosis and clinicopathological characteristics including TCF7L2 expression.RESULTS: Compared with low-grade glioma group, the expression of TCF7L2 was significantly increased (p<0.05). TCF7L2 overexpression was associated with large tumor volume (p=0.03), higher WHO grade (p=0.001), and recurrence (p=0.001). Moreover, Kaplan-Meier analysis proved that overexpressed TCF7L2 was related with poor OS (p< 0.05).The multivariate analysis suggested that TCF7L2 expression was an independent prognostic factor.CONCLUSIONS: Our research proved that TCF7L2 was over- expressed in glioblastoma, and, related with tumor prognosis, which, therefore, could be an independent prognostic factor for glioma patients.

Based on the definition of divisibility of Markovian quantum dynamics, we discuss the Markovianity of tensor products, multiplications and some convex combinations of Markovian quantum dynamics. We prove that the tensor product of two Markovian dynamics is also a Markovian dynamics and propose a new witness of non-Markovianity.