Chen Yuetong, Li Chen, Shi Yi, Dai Jiali, Meng Yixuan, Li Shuwei, Tang Cuiju, Gu Dongying, Chen Jinfei
Department of Radiation Oncology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu 215008, China.
Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, China.
J Biomed Res. 2024 May 29;39(1):76-86. doi: 10.7555/JBR.38.20240040.
The family of genes ( - ), encoding voltage-gated K (Kv) channels, have been demonstrated to play potential pathophysiological roles in cancers. However, the associations between genetic variants located in family genes and gastric cancer survival remain unclear. In this study, a large-scale cohort comprising 1135 Chinese gastric cancer patients was enrolled to identify genetic variants in family genes associated with overall survival (OS). Based on the survival evaluation of all five family genes, was selected for subsequent genetic analysis. In both Cox regression model and stepwise Cox regression model used to evaluate survival-related genetic variants, we found that rs10832417G>T was associated with an increased OS in gastric cancer patients (adjusted hazards ratio [HR] = 0.84, 95% confidence interval [CI]: 0.72-0.98, = 0.023). Subsequently, a nomogram was constructed to enhance the prognostic capacity and clinical translation of rs10832417 variants. The rs10832417 T allele was predicted to increase the minimum free energy of the secondary structure. Furthermore, we observed that gastric cancer patients with downregulated expression had a poorer survival across multiple public datasets. The findings of the present study indicate that rs10832417 may serve as an independent prognostic predictor of gastric cancer, providing novel insights into the progression and survival of the disease.
编码电压门控钾离子（Kv）通道的基因家族（-）已被证明在癌症中发挥潜在的病理生理作用。然而，位于该基因家族的基因变异与胃癌生存率之间的关联仍不清楚。在本研究中，纳入了一个由1135名中国胃癌患者组成的大规模队列，以确定该基因家族中与总生存期（OS）相关的基因变异。基于对所有五个该基因家族基因的生存评估，选择了进行后续的基因分析。在用于评估生存相关基因变异的Cox回归模型和逐步Cox回归模型中，我们发现rs10832417G>T与胃癌患者的OS增加相关（调整后的风险比[HR]=0.84，95%置信区间[CI]：0.72-0.98，P=0.023）。随后，构建了一个列线图以增强rs10832417变异的预后能力和临床转化。预测rs10832417的T等位基因会增加二级结构的最小自由能。此外，我们观察到在多个公共数据集中，该基因表达下调的胃癌患者生存率较差。本研究结果表明，rs10832417可能作为胃癌的独立预后预测指标，为该疾病的进展和生存提供新的见解。
