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VCAN的高表达是胃癌预后不良的独立预测指标。

High expression of VCAN is an independent predictor of poor prognosis in gastric cancer.

作者信息

Li Wenfei, Han Fang, Fu Min, Wang Zhanqiu

机构信息

Department of Radiology, Affiliated Zhongshan Hospital of DaLian University, Dalian, Liaoning, China.

Department of Radiology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.

出版信息

J Int Med Res. 2020 Jan;48(1):300060519891271. doi: 10.1177/0300060519891271.

Abstract

OBJECTIVE

Versican (VCAN) has been reported as a potential biomarker in some cancers. However, its role in gastric cancer (GC) is poorly understood.

METHODS

Associations between clinical variables and VCAN were assessed. The diagnostic value of VCAN expression in GC patients was determined through receiver operating characteristic (ROC) curve analysis. Cox regression and the Kaplan–Meier method were used to explore clinicopathologic factors related to overall survival in GC patients. The Gene Expression Omnibus and the Human Protein Atlas were used for further validation. Gene set enrichment analysis (GSEA) was performed using The Cancer Genome Atlas dataset.

RESULTS

High expression of VCAN was associated with high stage and T classification in GC. The area under the ROC curve was 0.853. Patients with high VCAN expression had worse prognoses than those with low VCAN expression. Multivariate analysis showed that VCAN was an independent risk factor for overall survival in both cohorts. GSEA identified pathways involved in cancer, ECM-receptor interaction, Wnt signaling, T cell receptor signaling, and chemokine signaling as differentially enriched in GCs with high VCAN expression.

CONCLUSION

We demonstrated that VCAN is expressed at high levels in GC, and represents a potential independent molecular marker for diagnosis and prognosis of GC.

摘要

目的

据报道,多功能蛋白聚糖(VCAN)在某些癌症中是一种潜在的生物标志物。然而,其在胃癌(GC)中的作用尚不清楚。

方法

评估临床变量与VCAN之间的关联。通过受试者工作特征(ROC)曲线分析确定VCAN表达在GC患者中的诊断价值。采用Cox回归和Kaplan-Meier方法探讨与GC患者总生存相关的临床病理因素。利用基因表达综合数据库和人类蛋白质图谱进行进一步验证。使用癌症基因组图谱数据集进行基因集富集分析(GSEA)。

结果

GC中VCAN的高表达与高分期和T分级相关。ROC曲线下面积为0.853。VCAN高表达的患者预后比低表达的患者差。多变量分析表明,在两个队列中,VCAN都是总生存的独立危险因素。GSEA确定,在VCAN高表达的GC中,参与癌症、细胞外基质-受体相互作用、Wnt信号传导、T细胞受体信号传导和趋化因子信号传导的通路存在差异富集。

结论

我们证明,VCAN在GC中高表达,是GC诊断和预后的潜在独立分子标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2c1/7254169/338e9025030e/10.1177_0300060519891271-fig1.jpg

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