一种基于血清甲胎蛋白、结节数量和MYC基因状态的新型预后评分预测肝细胞癌肝切除术后患者的预后

A. Ruzzenente, F. Bagante, Marco Sandri Bs, C. Pedrazzani, M. Brunelli, T. Campagnaro, S. Conci, P. Capelli, A. Guglielmi, A. Scarpa, C. Iacono
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Predictors of DFS and OS were identified using univariate and multivariate survival analysis. The prognostic ability of our model was compared using Harrell’s c-index to current clinical staging systems (AJCC/TNM 7th ed., BCLC and CLIP). Results: Predictors of DFS, in both univariate and multivariable analysis were number of HCC, serum AFP, and MYC status; these variables were included in a nomogram to predict DFS. Patients were classified into two groups (high- and low-risk group) according to their predicted 12-month risk of recurrence. Patients in low-risk group showed a 36-month DFS of 43% compared to 0% for high-risk group. Furthermore, patients in low-risk group presented a 36-month OS of 70% compared to 15% for high-risk group. Our model was included in AJCC/TNM 7th ed., BCLC and CLIP staging systems. When reclassified with our model, CLIP presented the highest predictive ability (c-index=73%) compared to the others staging-systems. 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引用次数: 1

摘要

肝细胞癌(HCC)手术后复发仍然是影响患者总生存期(OS)的主要令人沮丧的事件。一些关于基因标记的研究表明MYC失调与预后不良有关。我们的目的是分析预后因素,包括MYC状态,无病生存(DFS)和OS,以及开发一种能够预测患者预后的HCC新的预后模型。方法:从2006年1月到2009年12月,在维罗纳大学外科的一个科室接受肝切除术的63例HCC患者被纳入本研究。通过单因素和多因素生存分析确定DFS和OS的预测因子。我们的模型的预后能力使用Harrell的c指数与当前的临床分期系统(AJCC/TNM第7版,BCLC和CLIP)进行比较。结果:在单变量和多变量分析中,DFS的预测因子是HCC数量、血清AFP和MYC状态;这些变量被包括在一个模态图中来预测DFS。根据预测的12个月复发风险将患者分为高危组和低危组。低危组患者36个月的DFS为43%,而高危组为0%。此外,低危组患者的36个月OS为70%,而高危组为15%。我们的模型被列入AJCC/TNM第7版,BCLC和CLIP分期系统。当用我们的模型重新分类时,与其他分期系统相比,CLIP具有最高的预测能力(c-index=73%)。结论:我们基于MYC基因状态和临床特征(结节数量和AFP血清水平)建立了肝癌肝切除术后DFS的预后模型。我们的新预后模型在选择那些可能从手术切除中获益的患者方面具有重要的临床应用价值。
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A Novel Prognostic Score based on Serum Alpha-Fetoprotein, Number of Nodules, and MYC Gene Status Predicts Prognosis of Patients after Liver Resection for Hepatocellular Carcinoma
Recurrence after liver surgery for hepatocellular carcinoma (HCC) remains the major dismal event affecting patient’s overall survival (OS). Several studies on gene signature showed an association between MYC deregulation and poor prognosis. We aimed to analyze prognostic factors, including MYC status, for disease free survival (DFS) and OS, as well as to develop a new prognostic model for HCC able to predict the patient’s prognosis. Methods: Sixty-three patients who underwent liver resection for HCC from January 2006 to December 2009 in a single division of the Department of Surgery at the University of Verona were included into this study. Predictors of DFS and OS were identified using univariate and multivariate survival analysis. The prognostic ability of our model was compared using Harrell’s c-index to current clinical staging systems (AJCC/TNM 7th ed., BCLC and CLIP). Results: Predictors of DFS, in both univariate and multivariable analysis were number of HCC, serum AFP, and MYC status; these variables were included in a nomogram to predict DFS. Patients were classified into two groups (high- and low-risk group) according to their predicted 12-month risk of recurrence. Patients in low-risk group showed a 36-month DFS of 43% compared to 0% for high-risk group. Furthermore, patients in low-risk group presented a 36-month OS of 70% compared to 15% for high-risk group. Our model was included in AJCC/TNM 7th ed., BCLC and CLIP staging systems. When reclassified with our model, CLIP presented the highest predictive ability (c-index=73%) compared to the others staging-systems. Conclusions: We developed a prognostic model for DFS after hepatectomy for HCC, based on MYC gene status and clinical features (number of nodules and AFP serum level). Our new prognostic model could have important clinical applications in selecting those patients who might have major benefits from surgical resection.
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