Eur Rev Med Pharmacol Sci 2017; 21 (16): 3605-3610

Long non-coding RNA TUSC7 expression is independently predictive of outcome in glioma

X.-L. Ma, W.-D. Zhu, L.-X. Tian, W.-D. Sun, F. Shang, Q.-T. Lin, H.-Q. Zhang

Department of Neurosurgery, Yuquan Hospital, Tsinghua University, Shijingshan, Beijing, China. zw04qpma04@126.com


OBJECTIVE: Down-regulation of long non-coding RNA tumor suppressor candidate 7(TUSC7) contributes to tumorigenesis in several human cancers including glioma. However, the prognostic value of TUSC7 in glioma remains unclear. The present study aimed to investigate the clinicopathological and prognostic value of TUSC7.

PATIENTS AND METHODS: The expression level of TUSC7 in glioma tissues and matched normal tissues were detected by qRT-PCR. Then, the association of serum TUSC7 expression level with various important clinicopathological parameters and survival rates was evaluated. The Cox regression analysis was used to evaluate the effect of independent prognostic factors on survival outcome.

RESULTS: The relative level of TUSC7 was significantly lower in glioma tissues compared to the adjacent normal brain tissues (p < 0.01). In addition, a lower expression of TUSC7 was observed in high-grade glioma tissues than in low-grade glioma tissues (p < 0.01). Furthermore, the low expression of TUSC7 was associated with poor clinicopathological characteristics of glioma, including WHO grade (p = 0.002) and KPS (p = 0.026). Then, the low TUSC7 level was correlated with shorter disease free survival (DFS) and overall survival (OS) than low level (both p = 0.05). Finally, univariate and multivariate Cox analysis showed that TUSC7 was an independent prognostic indicator for OS and DFS.

CONCLUSIONS: These results provided evidence that TUSC7 may be a potential biomarker in the prognosis of glioma.

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To cite this article

X.-L. Ma, W.-D. Zhu, L.-X. Tian, W.-D. Sun, F. Shang, Q.-T. Lin, H.-Q. Zhang
Long non-coding RNA TUSC7 expression is independently predictive of outcome in glioma

Eur Rev Med Pharmacol Sci
Year: 2017
Vol. 21 - N. 16
Pages: 3605-3610