ArticleComputational and structural biotechnology journal2020
Development and validation of metabolism-related gene signature in prognostic prediction of gastric cancer.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Multiomics identifies a prognostic signature and SPIB as a potential regulator of gastric cancer lymph node metastasis.iScience · 2026Article
- Analysis and application of RNA binding protein gene pairs to predict the prognosis of gastric cancer.Heliyon · 2023Article
- A prediction model for prognosis of gastric adenocarcinoma based on six metabolism-related genes.Biochemistry and biophysics reports · 2023Article
- Identification and Validation of a Metabolism-Related Prognostic Signature Associated with M2 Macrophage Infiltration in Gastric Cancer.International journal of molecular sciences · 2023Article
- Article
- Construction and validation of a metabolic-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics.BMC medical genomics · 2022Article
- A 9‑gene expression signature to predict stage development in resectable stomach adenocarcinoma.BMC gastroenterology · 2022Article
- Metabolism reprogramming signature associated with stromal cells abundance in tumor microenvironment improve prognostic risk classification for gastric cancer.BMC gastroenterology · 2022Article
- Metabolism-Related Bioinformatics Analysis Reveals That HPRT1 Facilitates the Progression of Oral Squamous Cell Carcinoma In Vitro.Journal of oncology · 2022Article
- Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma.Frontiers in endocrinology · 2022Article
- A Novel Glutamine Metabolism-Related Gene Signature in Prognostic Prediction of Osteosarcoma.International journal of general medicine · 2022Article
- A metabolism-related gene signature for predicting the prognosis and therapeutic responses in patients with hepatocellular carcinoma.Annals of translational medicine · 2021Article
- Transcriptomic and Metabolomic Profiling inFrontiers in cell and developmental biology · 2021Article
- A control theoretic three timescale model for analyzing energy management in mammalian cancer cells.Computational and structural biotechnology journal · 2021Article
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12 authors.
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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%;
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