Relationship Between YWHAQ Expression and Clinicopathological Features and Prognosis of Patients with Gastric Adenocarcinoma
Year: 2025
Type: article
Abstract: ObjectiveTo investigate the expression of YWHAQ protein in gastric adenocarcinoma tissues and its correlation with clinical pathological features and prognosis. MethodsA total of 127 patients with gastric cancer who underwent radical surgery were enrolled. Clinical data and postoperative cancer tissue samples were collected from the patients. Immunohistochemistry was used to detect the protein expression of YWHAQ in gastric adenocarcinoma tissues. The relationship between YWHAQ expression and clinical pathological features and prognosis was analyzed. Bioinformatics prediction was performed to identify potential pathways regulated by YWHAQ in gastric adenocarcinoma. A protein-protein interaction network for YWHAQ was constructed using the STRING database. ResultsYWHAQ gene expression was significantly higher in gastric adenocarcinoma tissues than in normal tissues (P<0.05). The expression level of the YWHAQ protein was significantly correlated with age, tumor invasion depth, lymph node metastasis, and tumor stage (P<0.05). Kaplan-Meier survival analysis showed that patients with high YWHAQ expression had significantly poorer long-term survival than those with low expression (P<0.0001). Cox regression analysis revealed that high YWHAQ expression and distant metastasis were independent risk factors for gastric cancer (HR>1, P<0.05). Enrichment analysis indicated that YWHAQ positively regulated processes such as cell cycle, angiogenesis, and DNA damage repair. ConclusionYWHAQ is highly expressed in gastric adenocarcinoma tissues and may be associated with the occurrence, invasion, and metastasis of gastric adenocarcinoma. High YWHAQ expression and distant metastasis are independent risk factors for the prognosis of gastric adenocarcinoma patients.
Authors: Xueqing LIU, Libo YANG, Linhai LI, Ping SHENG, Sicheng LIU, Lihua LI
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6928878034
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