OGDHL Expression as a Prognostic Biomarker for Liver Cancer Patients

被引:27
作者
Jiao, Yan [1 ]
Li, Yanqing [2 ]
Fu, Zhuo [3 ]
Hou, Lin [4 ]
Chen, Qingmin [1 ]
Cai, Yujie [5 ]
Jiang, Peiqiang [1 ]
He, Miao [6 ]
Yang, Zhaoying [7 ]
机构
[1] First Hosp Jilin Univ, Dept Hepatobiliary & Pancreat Surg, Changchun 130021, Jilin, Peoples R China
[2] Jilin Univ, Coll Basic Med Sci, Dept Pathophysiol, Changchun 130021, Jilin, Peoples R China
[3] First Hosp Jilin Univ, Dept Hand & Foot Surg, Changchun 130021, Jilin, Peoples R China
[4] First Hosp Jilin Univ, Canc Ctr, Changchun 130021, Jilin, Peoples R China
[5] Second Hosp Jilin Univ, Dept Gen Surg, Changchun 130022, Jilin, Peoples R China
[6] Second Hosp Jilin Univ, Dept Anesthesia, Changchun 130022, Jilin, Peoples R China
[7] Jilin Univ, Dept Breast Surg, China Japan Union Hosp, 126 Xiantai St, Changchun 130033, Jilin, Peoples R China
关键词
2-OXOGLUTARATE DEHYDROGENASE; FAMILY; GENES;
D O I
10.1155/2019/9037131
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background and Objective. Liver cancer is a highly malignant tumor, and patients typically have poor prognoses. Metabolic reprogramming is a hallmark of cancer, and downregulation of oxoglutarate dehydrogenase-like (OGDHL) contributes to the onset and progression of several cancers. We examined the role of altered OGDHL expression in liver cancer and determined its value as a diagnostic and prognostic indicator for patients. Material and Methods. R (version 3.5.1) and several R extensions were used for data mining of The Cancer Genome Atlas (TCGA) dataset (including RNAseq and clinical information) and statistical analysis. Receiver operating characteristic analysis was used to determine the diagnostic value of OGDHL. The chi-squared test was used to identify the clinical correlates of OGDHL downregulation. Survival analysis (with the log-rank test) and univariate and multivariate Cox analysis were used to evaluate the effect of OGDHL expression on overall survival (OS) and relapse-free survival. TCGA was used for analysis of gene set enrichment. Results. OGDHL had lower expression in cancerous liver tissues than noncancerous adjacent tissues, and low expression correlated with more advanced patient age, histologic grade, stage, T classification, and poor survival. Patients with lower OGDHL expression had shorter OS and relapse-free survival. Multivariate Cox regression indicated that low OGDHL expression was an independent risk factor for poor prognosis. Gene set enrichment analysis indicated enrichment of the mitotic spindle, G2M checkpoint, and E2F targets in the OGDHL low expression phenotype. Conclusion. OGDHL has potential as a diagnostic and prognostic biomarker for liver cancer.
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页数:9
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