ArticleCancer medicine2021
Establishment of a prognostic model of four genes in gastric cancer based on multiple data sets.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The Identification of LA-tumor associated macrophages in immune modulation via amyloid-beta precursor protein/CD74 signal pathway in gastric cancer: a predictive module and machine learning.Frontiers in oncology · 2025Article
- Discoid Domain Receptors Signaling in Macrophages-Mediated Diseases.International journal of general medicine · 2025Review
- Risk stratification in gastric cancer lung metastasis: Utilizing an overall survival nomogram and comparing it with previous staging.World journal of gastrointestinal surgery · 2024Article
- Comprehensive analysis of CPNE1 predicts prognosis and drug resistance in gastric adenocarcinoma.American journal of translational research · 2024Article
- Key Roles of p53 Signaling Pathway-Related Factors GADD45B and SERPINE1 in the Occurrence and Development of Gastric Cancer.Mediators of inflammation · 2023Article
- Comprehensive analysis of chemokines family and related regulatory ceRNA network in lung adenocarcinoma.Heliyon · 2022Article
- System analysis based on the pyroptosis-related genes identifies GSDMC as a novel therapy target for pancreatic adenocarcinoma.Journal of translational medicine · 2022Article
- Identification of a chemotherapy-associated gene signature for a risk model of prognosis in gastric adenocarcinoma through bioinformatics analysis.Journal of gastrointestinal oncology · 2022Article
- Identification of Potential Diagnoses Based on Immune Infiltration and Autophagy Characteristics in Major Depressive Disorder.Frontiers in genetics · 2022Article
- Discoidin domain receptor 1 is a potential target correlated with tumor invasion and immune infiltration in gastric cancer.Frontiers in immunology · 2022Article
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4 authors.
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Abstract
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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