Sheng Xiao1,2, Junhua Yu2, Xuegang Yuan2, Qianxue Chen1. 1. Department of Neurosurgery, Renmin Hospital of Wuhan University Wuhan 430060, Hubei Province, China. 2. Department of Neurosurgery, Ezhou Central Hospital Ezhou 436000, Hubei Province, China.
Abstract
Objectiove: The tripartite motif (TRIM) family genes, which encode a protein subfamily of the RING type E3 ubiquitin ligases, function as important regulators of oncogenesis and development. It is thus of great importance to investigate the potential value of the TRIM family genes for prognostic prediction in glioma. METHODS: The gene expression RNA-Seq data and corresponding clinical information of glioma patients were obtained from The Cancer Genome Atlas (TCGA) dataset and the Chinese Glioma Genome Atlas (CGGA) dataset. LASSO regression and multivariate Cox regression analyses were performed to construct a risk signature of the TRIM family genes. The accuracy of the risk signature in predicting the prognosis of glioma patients was evaluated. The effects of TRIM17 on glioma cell proliferation were further explored. RESULTS: We constructed a prognostic signature based on eight TRIMs for the prediction of overall survival of glioma patients. Internal and external cohorts confirmed the satisfactory accuracy and generalizability of the signature in predicting the prognosis of glioma patients. Of the eight TRIMs, TRIM17 was significantly downregulated in glioma, and decreased with an increase in the tumor grade. Moreover, low expression of TRIM17 predicted poor prognosis in glioma. CCK-8 and colony formation assays indicated that TRIM17 overexpression significantly inhibited cell proliferation. Conversely, silencing of TRIM17 had the opposite effects. CONCLUSION: Our eight-gene signature based on the TRIM gene family is a novel and clinically useful biomarker, which may be helpful for clinical decision-making. Additionally, TRIM17 might be a therapeutic target for glioma. AJTR
Objectiove: The tripartite motif (TRIM) family genes, which encode a protein subfamily of the RING type E3 ubiquitin ligases, function as important regulators of oncogenesis and development. It is thus of great importance to investigate the potential value of the TRIM family genes for prognostic prediction in glioma. METHODS: The gene expression RNA-Seq data and corresponding clinical information of glioma patients were obtained from The Cancer Genome Atlas (TCGA) dataset and the Chinese Glioma Genome Atlas (CGGA) dataset. LASSO regression and multivariate Cox regression analyses were performed to construct a risk signature of the TRIM family genes. The accuracy of the risk signature in predicting the prognosis of glioma patients was evaluated. The effects of TRIM17 on glioma cell proliferation were further explored. RESULTS: We constructed a prognostic signature based on eight TRIMs for the prediction of overall survival of glioma patients. Internal and external cohorts confirmed the satisfactory accuracy and generalizability of the signature in predicting the prognosis of glioma patients. Of the eight TRIMs, TRIM17 was significantly downregulated in glioma, and decreased with an increase in the tumor grade. Moreover, low expression of TRIM17 predicted poor prognosis in glioma. CCK-8 and colony formation assays indicated that TRIM17 overexpression significantly inhibited cell proliferation. Conversely, silencing of TRIM17 had the opposite effects. CONCLUSION: Our eight-gene signature based on the TRIM gene family is a novel and clinically useful biomarker, which may be helpful for clinical decision-making. Additionally, TRIM17 might be a therapeutic target for glioma. AJTR
Authors: Alireza Mansouri; Laureen D Hachem; Sheila Mansouri; Farshad Nassiri; Normand J Laperriere; Daniel Xia; Neal I Lindeman; Patrick Y Wen; Arnab Chakravarti; Minesh P Mehta; Monika E Hegi; Roger Stupp; Kenneth D Aldape; Gelareh Zadeh Journal: Neuro Oncol Date: 2019-02-14 Impact factor: 12.300