P10.22.A Prognostic role ofTCF7L2 in glioblastoma

Abstract

Abstract Background Glioblastoma is the most common and devastating brain cancer and despite maximal surgical resection, chemotherapy and radiotherapy, the five-year survival rate is less than 7%. The TCF7L2 gene encodes transcription factor 7-like 2, a main effector of Wnt/β-Catenin signaling pathway involved in cancer development and progression. Aberrant activation of the TCF7L2 gene is one of the primary events in tumorigenesis by maintaining stem-cell characteristics, however its role in glioblastoma is poorly studied. Material and Methods The expression of TCF7L2 was analyzed by qRT-PCR in a series of consecutive glioblastoma samples from patients that underwent surgical resection. Secondary or recurrent glioblastomas were excluded from the analysis. All patients underwent radio- and chemotherapy according to the protocol. Housekeeping gene RPL13 was used as reference gene. The 2-ΔCT method was used to calculate the relative expression of TCF7L2 to the reference gene. Results A total of 49 glioblastoma samples were included in the study. The mean survival period was 58.2 weeks. The median value of TCF7L2 expression was used as a cut-off point for the survival analysis. There were no statistically significant differences regarding the clinical and histopathological factors between the groups with low and high expression of TCF7L2. By using the Kaplan-Meier analysis, we observed that patients with overexpression of TCF7L2 had a decreased survival rate compared to patients with low levels of TCF7L2 (38.8 weeks vs. 77.34 weeks, p = 0.001). Conclusion These results demonstrate that glioblastoma patients with high levels of TCF7L2 have a poorer survival rate and TCF7L2 might be a useful prognostic factor for these patients. However, further studies are needed to elucidate the mechanisms through which TCF7L2 affects the prognosis and its implication as a possible therapeutic target. This work was supported by an ERA PerMed grant - ERAPERMED2018-270 (PerProGlio).