Metabolic reprogramming-associated genes predict overall survival for rectal cancer
| Autor: | Qingzhi Yao, Hui-Yong Liu, Qiaonan Guo, Jianpeng Chen, Pengjun Qiu, Zhong-Yi Zhang, Jianqing Lin |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Colorectal cancer Metabolic reprogramming Down-Regulation Biology Bioinformatics 03 medical and health sciences 0302 clinical medicine Risk Factors Databases Genetic medicine Overall survival Humans Gene Survival analysis Proportional Hazards Models Messenger RNA type I error Proportional hazards model Rectal Neoplasms Gene Expression Profiling Reproducibility of Results Cell Biology medicine.disease Prognosis Survival Analysis Up-Regulation Gene Expression Regulation Neoplastic 030104 developmental biology Gene Ontology Tumour development statistics 030220 oncology & carcinogenesis Multivariate Analysis Commentary Molecular Medicine hypothesis Genes Neoplasm |
| Zdroj: | Journal of Cellular and Molecular Medicine |
| ISSN: | 1582-4934 |
| Popis: | Metabolic reprogramming has become a hot topic recently in the regulation of tumour biology. Although hundreds of altered metabolic genes have been reported to be associated with tumour development and progression, the important prognostic role of these metabolic genes remains unknown. We downloaded messenger RNA expression profiles and clinicopathological data from The Cancer Genome Atlas and the Gene Expression Omnibus database to uncover the prognostic role of these metabolic genes. Univariate Cox regression analysis and lasso Cox regression model were utilized in this study to screen prognostic associated metabolic genes. Patients with high-risk demonstrated significantly poorer survival outcomes than patients with low-risk in the TCGA database. Also, patients with high-risk still showed significantly poorer survival outcomes than patients with low-risk in the GEO database. What is more, gene set enrichment analyses were performed in this study to uncover significantly enriched GO terms and pathways in order to help identify potential underlying mechanisms. Our study identified some survival-related metabolic genes for rectal cancer prognosis prediction. These genes might play essential roles in the regulation of metabolic microenvironment and in providing significant potential biomarkers in metabolic treatment. |
| Databáze: | OpenAIRE |
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