期刊
CANCER MEDICINE
卷 10, 期 10, 页码 3309-3322出版社
WILEY
DOI: 10.1002/cam4.3654
关键词
bioinformatics; biomarker; gastric cancer; nomogram; prognostic model
类别
资金
- National Natural Science Foundation of China [81872480, 81760549, 81560492]
- Jiangxi Provincial Department of Education Science and Technology Project [GJJ180024]
This study established a reliable prognostic model for gastric cancer using bioinformatics, including a four-gene signature, with internal and external validation showing the model's reliability, and a nomogram was constructed to verify its accuracy.
Gastric cancer (GC) is a kind of malignancy with a high mortality and recurrence. An effective prediction model based on ideal biomarkers to assess prognosis could benefit patients for optimization of treatment. Bioinformatics has played an increasingly important role in the study of cancer diseases. Therefore, this study started with bioinformatics to establish a reliable prognostic model of gastric cancer. The gene expression data and clinical data of GC tissues and normal tissues were obtained from the Gene Expression Omnibus (GEO), Genotype-Tissue Expression (GTEx), and The Cancer Genome Atlas (TCGA) profile database. We finally identified a four gene signature and constructed a prognostic model. The results of internal and external validation showed that the model is highly reliable. In addition, we also constructed a nomogram based on the model, which was verified by a calibration curve to show its predicted accuracy. Comprehensive analysis indicated that the four genes in the model are related to the occurrence and development of tumors, perhaps they are potential targets for tumor treatment. Generally, this prognostic model can bring potential benefits to patients with gastric cancer.
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