Journal of Dali University ›› 2019, Vol. 4 ›› Issue (2): 38-.

Previous Articles     Next Articles

Expression of Human MTERF3 and Its Clinical Value in Cervical Cancer: An Analysis Based on the#br# TCGA Dataset

Mei Wen, Wang Weisi, Sun Meitao, Zhang Tai, Chai Beibei, Zhang Ruopeng, Xiong Wei   

  1. (1. Pre-clinical College, Dali University, Dali, Yunnan 671000, China; 2. College of Public Health, Dali University, Dali, Yunnan
    671000, China; 3. The First Affiliated Hospital of Dali University, Dali, Yunnan 671000, China)
  • Received:2018-06-04 Revised:2018-10-08 Online:2019-02-15 Published:2019-02-15

Abstract: 〔Abstract〕Objective: To explore the expression of human mitochondrial transcription termination factor 3(MTERF3)in cervical
cancer and its clinical value based on the TCGA dataset. Methods:The expression of MTERF3 mRNA and clinical information of
patients with cervical cancer was downloaded from TCGA database. Then the relationship between the expression of MTERF3 mRNA
and clinicopathological characteristics, and the prognostic value of MTERF3 were analyzed by R3.3.0 software; Graphpad Prism 7.01
software was applied to analyze the correlational relationship between the expression level of MTERF3 mRNA and prognosis of patients
by Kaplan-Meier and Log-rank test. Results: The expression level of MTERF3 mRNA was higher in the normal cervical tissues than in
cervical cancers. The expression of MTERF3 mRNA in patients with cervical cancer was not related to age, T stage, N stage and M stage,
but was related to AJCC clinical stage and tumor grade(P < 0.05). Moreover, there was no difference between the overall survival time
and the disease-free survival of cervical cancer patients and low MTERF3 expression or high MTERF3 expression(Log-rank P>0.05).
Univariate analysis showed that T stage, N stage, M stage and clinical stage affected the prognosis of cervical carcinoma(P < 0.05), but
was not related to age, grade, pathological type and the expression of MTERF3(P > 0.05). COX multivariate analysis showed that N
stage was an independent factor influencing patients' prognostic. Conclusion: The analysis of the TCGA dataset revealed that the
mRNA expression level of human MTERF3 is related to the clinical stage and tumor grade, but further analysis showed that there is no
significant correlation between the expression level of MTERF3 mRNA and the prognosis of patients with cervical cancer.

Key words: 〔Key words〕TCGA dataset, MTERF3 gene, cervical cancer