Exploring the Interplay Between CCND1 Expression, Methylation and Clinicopathological Factors in Gastric Cancer: A Meta-Analysis
Hebei Key Laboratory for Chronic Diseases, North China University of Science and Technology, Tangshan 063210, China
| Abstract: | Aim: The role of CCND1 in gastric cancer (GC) was analyzed through bioinformatics to provide scientific basis for the early diagnosis and treatment of GC. Methods: The expression of CCND1 in (GC) was analyzed using R (3.6.3), Ualcan, and HPA, and to evaluate the relationship between CCND1 and clinicopathological features in patients of GC, so as to evaluate the value of CCND1 in the diagnosis of GC. At the same time, the correlation between CCND1 gene changes and its methylation with prognosis in patients of GC are explored by cBioPortal website, MethSurv and evaluate the role of CCND1 in immune cell infiltration. Results: The expression of CCND1 was abnormally high in GC, and was closely correlated with patient age (P=0.018), histological type (P=0.031), reflux history (P=0.036), and Barrett's esophagus (P=0.042). The sensitivity and specificity of CCND1 in the diagnosis of GC are 0.848 and 0.900, respectively, with positive predictive value of 0.944 and negative predictive value of 0.750. CCND1 gene mutation and amplification are the most common genetic changes in GC, and are not associated with patient prognosis. CCND1 methylation is associated with overall survival and disease-free survival of gastric cancer patients, while the prognosis of CCND1 hypermethylated gastric cancer patients are poor. CCND1 plays an important role in immune infiltration. Conclusions: In GC, the high expression of CCND1 is related to the clinicopathological features of patients and will become a biomarker for the diagnosis of gastric cancer. Moreover, hypermethylation of CCND1 has been shown to be associated with poor prognosis and plays a key role in immune infiltration. |
| Keywords: | Gastric Cancer; Cyclin D1; Bioinformatics; Prognostic Value; Immune Infiltration; Clinicopathological Features |
| DOI: | 10.57237/j.cmf.2024.01.003 |
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Received: 22 December 2023
Accepted: 2 February 2024
Published Online: 4 February 2024
Funding
| 1. | Natural Science Foundation of Hebei Province (No: H2022209049) |
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