Development and validation of metabolism-related gene signature in prognostic prediction of gastric cancer
- Resource Type
- Authors
- Zekun Liu; Run-Cong Nie; Zhi-Cheng Xue; Huan Lin; Kaiming Jiang; Yuan Fang Li; Tian-Qi Luo; Chengcai Liang; Zexian Liu; Cong Li; Yingbo Chen; Guo-Ming Chen
- Source
- Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 3217-3229 (2020)
- Subject
- Oncology
medicine.medical_specialty
lcsh:Biotechnology
Biophysics
Prognostic prediction
Biochemistry
Nomogram
03 medical and health sciences
0302 clinical medicine
Structural Biology
lcsh:TP248.13-248.65
Internal medicine
Genetics
medicine
Related gene
Stage (cooking)
Metabolic studies
030304 developmental biology
ComputingMethodologies_COMPUTERGRAPHICS
0303 health sciences
Framingham Risk Score
Receiver operating characteristic
business.industry
Cancer
medicine.disease
Prognosis
Computer Science Applications
030220 oncology & carcinogenesis
Clinicopathological features
business
Gastric cancer
Biotechnology
Research Article
- Language
- English
- ISSN
- 2001-0370
Graphical abstract
Gastric cancer is one of the most common malignant tumours in the world. As one of the crucial hallmarks of cancer reprogramming of metabolism and the relevant researches have a promising application in the diagnosis treatment and prognostic prediction of malignant tumours. This study aims to identify a group of metabolism-related genes to construct a prediction model for the prognosis of gastric cancer. A large cohort of gastric cancer cases (1121 cases) from public database was included in our analysis and classified patients into training and testing cohorts at a ratio of 7: 3. After identifying a list of metabolism-related genes having prognostic value, we constructed a risk score based on metabolism-related genes using LASSO-COX method. According to the risk score, patients were divided into high- and low-risk groups. Our results revealed that high-risk patients had a significantly worse prognosis than low-risk patients in both the training (high-risk vs low-risk patients; five years overall survival: 37.2% vs 72.2%; p