ArticleBioMed research international2022
Identification of a Five-Gene Panel to Assess Prognosis for Gastric Cancer.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Correlation of G protein-coupled receptor and tumor microenvironment with gastric cancer outcomes and therapies.Chinese medical journal · 2026Article
- Mutational disparities in colorectal cancers of White Americans, Alabama African Americans, And Oklahoma American Indians.NPJ precision oncology · 2024Article
- Article
- Comprehensive analysis of hypoxia-related genes for prognosis value, immune status, and therapy in osteosarcoma patients.Frontiers in pharmacology · 2022Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
methodsTwo datasets were used as training and validation cohorts to establish the predictive model. We used three types of screening criteria: background analysis, pathway analysis, and functional analysis provided by the cBioportal website. Fisher's exact test and multivariable logistic regression were performed to screen out related genes. Furthermore, we performed receiver operating characteristic (ROC) and Kaplan-Meier curve analyses to evaluate the correlation between the selected genes and overall survival.
resultWe screened five genes (KNL1, NRXN1, C6, CCDC169-SOHLH2, and TTN) that were highly related to recurrence of GC. The area under the receiver operating characteristic (ROC) curve was 0.813, which was much higher than that of the baseline model (AUC = 0.699). This result suggested that the mutation of five selected genes had a significant effect on the prediction of recurrence compared with other factors (age, stages, history, etc.). Furthermore, the Kaplan-Meier estimator also revealed that the mutation of five genes positively correlated with patient survival.
conclusionsThe patients who have mutations in these five genes may experience longer survival than those who do not have mutations. This five-gene panel will likely be a practical tool for prognostic evaluation and will provide another possible way for clinicians to determine therapy.
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