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跨膜蛋白家族基因在肝癌患者中的预后模型构建评估

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目的 探讨跨膜蛋白(TMEM)家族基因对肝癌患者的预后价值,构建肝癌患者生存预后预测模型.方法 筛选与肝癌患者预后相关的TMEM家族基因,采用LASSO回归模型构建预后预测模型,外部队列予以验证;基于风险评分和临床特征构建Nomogram图并验证其预测效能.结果 纳入7个TMEM家族基因构建风险预测模型,低风险组肝癌患者预后显著优于高风险组.Cox回归分析结果显示该风险评分是肝癌患者预后的独立危险因素.基于风险评分构建的Nomogram图预测结果具有良好的契合度和应用价值.结论 基于TMEM家族基因的预测模型可以很好地预测肝癌患者预后,为临床早期识别预后不良的肝癌患者提供一定理论依据.
Construction and evaluation of prognostic model for transmembrane protein family genes in hepatocellular carcinoma
Objective To explore the mechanisms and prognostic value of the Transmembrane protein(TMEM)family genes in liver cancer,and construct survival and prognosis prediction models for hepatocellular carcinoma(HCC).Methods TMEM family genes associated with the prognosis of HCC were analyzed and identified.The LASSO regression model was used to construct the prognostic pre-diction model,which was validated by an external cohort.The Nomogram was constructed based on the risk scores and clinical character-istics,and its predictive efficacy was verified.Results Seven TMEM family genes were included to construct the risk prediction model.HCC patients in the low-risk group had significantly better outcomes than those in the high-risk group.The Cox regression analysis showed that the risk score was an independent risk factor for the prognosis of liver cancer patients.In addition,Nomogram's prediction re-sults based on risk scores were well-fitting and useful for applications.Conclusion The prediction model based on the TMEM family genes can effectively predict the prognosis of HCC and offer a theoretical basis for the early identification of patients with poor prognosis of HCC.

Hepatocellular carcinomaTransmembrane proteinPrognosisLasso regression analysis

冷君志、顾晓筱、柳科军、惠永峰、王琦

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宁夏医科大学总医院肝胆外科,宁夏银川 750004

宁夏医科大学总医院日间病房,宁夏银川 750004

肝癌 跨膜蛋白 预后 Lasso回归分析

宁夏自然科学基金项目宁夏医科大学校级科研项目

2022AAC03545XM2022041

2024

宁夏医学杂志
中华医学会宁夏分会

宁夏医学杂志

影响因子:0.706
ISSN:1001-5949
年,卷(期):2024.46(8)