Establishment of a prognostic model of four genes in gastric cancer based on multiple data sets.
Establishment of a prognostic model of four genes in gastric cancer based on multiple data sets.
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基于多数据集建立胃癌四个基因的预后模型
DOI：
10.1002/cam4.3654
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发表时间：
2021-05
期刊：
影响因子：
4
通讯作者：
Xin L
中科院分区：
文献类型：
--
作者：
Zhou L;Li SH;Wu Y;Xin L
胃癌（GC）是一种死亡率高且复发率高的恶性肿瘤。基于理想生物标志物建立有效的预测模型来评估预后，有助于患者优化治疗。生物信息学在癌症疾病研究中发挥着越来越重要的作用。因此，本研究从生物信息学入手，建立一个可靠的胃癌预后模型。从基因表达综合数据库（GEO）、基因型 - 组织表达数据库（GTEx）以及癌症基因组图谱（TCGA）数据库中获取胃癌组织和正常组织的基因表达数据及临床数据。我们最终确定了一个四基因特征并构建了一个预后模型。内部和外部验证结果表明该模型具有高度可靠性。此外，我们还基于该模型构建了列线图，通过校准曲线验证显示其预测准确性。综合分析表明，模型中的四个基因与肿瘤的发生和发展相关，它们可能是肿瘤治疗的潜在靶点。总体而言，这个预后模型能为胃癌患者带来潜在益处。
基于多数据库生物信息学分析的模型被用于预测胃癌的预后。
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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