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. 2017 May;22(5):561-569.
doi: 10.1634/theoncologist.2016-0231. Epub 2017 Apr 24.

Prognostic Nomograms Stratify Survival of Patients with Hepatocellular Carcinoma Without Portal Vein Tumor Thrombosis After Curative Resection

Affiliations

Prognostic Nomograms Stratify Survival of Patients with Hepatocellular Carcinoma Without Portal Vein Tumor Thrombosis After Curative Resection

Yi-Peng Fu et al. Oncologist. 2017 May.

Abstract

Background: The prognosis of patients with hepatocellular carcinoma (HCC) without portal vein tumor thrombosis (PVTT) after curative resection is at variance. We identified the risk factors of poor postoperative prognosis and consequently developed prognostic nomograms generating individual risk of death and recurrence for this subgroup of patients with HCC.

Methods: The risk factors were identified and nomograms were developed based on a retrospective study of 734 patients in the primary cohort who underwent curative resection for HCC from 2010 to 2012. The predictive accuracy and discriminative ability of the nomograms were determined by concordance index (C-index) and calibration curve and compared with traditional staging systems of HCC. The results were validated in an independent cohort of 349 patients operated at the same institution in 2007.

Results: All of the independent factors for survival in multivariate analysis in the primary cohort were selected into the nomograms. The calibration curve for probability of survival showed good agreement between prediction by nomograms and actual observation. The C-indices of the nomograms for predicting overall survival and recurrence-free survival were 0.755 (95% confidence interval [CI], 0.752-0.758) and 0.665 (95% CI, 0.662-0.668), respectively, which were statistically higher than the C-indices of other HCC prognostic models. The results were further confirmed in the validation cohort.

Conclusion: The proposed nomograms resulted in more accurate prognostic prediction for patients with HCC without PVTT after curative resection. The Oncologist 2017;22:561-569 IMPLICATIONS FOR PRACTICE: Hepatocellular carcinoma (HCC) poses a great therapeutic challenge due to the poor prognosis in patients underwent surgical resection. The portal vein tumor thrombosis (PVTT) as a robust risk factor for survival has been routinely integrated to staging systems. Nonetheless, the prognosis stratification for patients without PVTT was neglected to some extent. Herein, independent risk factors of OS and RFS in HCC patients without PVTT were reconfirmed. A predictive nomogram was constructed on these risk factors and was demonstrated to be a more accurate predictive model in HCC patients without PVTT, compared with the traditional staging systems.

摘要

背景. 业内对于无PVTT的HCC患者行根治性切除术后的预后仍有争议。我们已识别出这一HCC患者亚组术后预后不良的风险因素, 并据此开发了可生成各种死亡和复发风险的预后列线图。

方法. 对2010‐2012年间行根治性切除术治疗HCC的734例患者(主要队列)进行了一项回顾性研究, 在此基础之上识别风险因素并开发列线图。通过一致性指数(C指数)和校准曲线确定列线图的预测准确度和判别能力, 并与传统HCC分期系统进行比较。在一个独立队列, 即于2007年在同一机构接受手术的349例患者中验证所得结果。

结果. 将主要队列多变量分析中生存期的所有独立风险因素纳入列线图。在生存概率校准曲线中, 列线图预测值与实际观测值的吻合度较好。列线图预测总生存期和无复发生存期时的C指数分别为0.755[95%置信区间(CI):0.752‐0.758]和0.665(95% CI:0662‐0.668), 显著高于其他HCC预后模型的C指数。该结果在验证队列中得到了进一步确认。

结论. 本研究构建的列线图可以更准确地预测无PVTT的HCC患者行根治性切除术后的预后。The Oncologist 2017;22:561–569

对临床实践的提示:肝细胞癌(HCC)患者行切除手术后的预后较差, 从而给治疗带来了严峻挑战。门静脉癌栓(PVTT)是生存期的稳健风险因素之一, 已在常规实践中将其纳入分期系统。尽管如此, 我们仍在一定程度上忽视了无PVTT患者的预后分层。因此, 本研究在无PVTT的HCC患者中再次确认了总生存期(OS)和无复发生存期(RFS)的独立风险因素。针对上述风险因素构建了预测列线图, 结果证明在无PVTT的HCC患者中, 以该列线图作为预测模型时的准确度高于传统分期系统。

Keywords: Hepatocellular carcinoma; Nomogram; Portal vein tumor thrombosis; Prognosis; Resection.

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Conflict of interest statement

Disclosures of potential conflicts of interest may be found at the end of this article.

Figures

Figure 1.
Figure 1.
Hepatocellular carcinoma OS (A) and RFS (B) nomograms. (To use the nomogram, the value of an individual patient is located on each variable axis, and a line is drawn upward to determine the number of points received for each variable value. The sum of these numbers is located on the total point axis, and a line is drawn downward to the survival axes to determine the likelihood of 2‐ or 3‐year survival). Abbreviations: AFP, α‐fetoprotein; GGT, γ‐glutamyl transferase; MVI, microscopic vascular invasion; OS, overall survival; RFS, recurrence‐free survival.
Figure 2.
Figure 2.
The calibration curve for predicting OS of patients at 2 years (A) and 3 years (B), RFS at 2 years (C) and 3 (D) years in the training cohort; predicting patient OS at 2 years (E) and 3 years (F) and predicting patient RFS at 2 years (G) and 3 years (H) in the validation cohort. Nomogram‐predicted probability of survival is plotted on the x‐axis; actual survival is plotted on the y‐axis. Abbreviations: OS, overall survival; RFS, recurrence‐free survival.
Figure 3.
Figure 3.
DCA. DCAs depict the clinical net benefit in pairwise comparisons between integrated nomogram, BCLC stage, and CLIP score. Nomograms are compared against the BCLC stage and CLIP score in terms of 2‐ and 3‐year OS (A, B) and 2‐ and 3‐year RFS (C, D). Dashed lines indicate the net benefit of nomogram in each of the curves across a range of threshold probabilities. The horizontal solid black line represents the assumption that no patients will experience the event, and the solid gray line represents the assumption that all patients will die or relapse. On DCA, nomogram showed superior net benefit compared to BCLC stage and CLIP score across a range of threshold probabilities. Abbreviations: BCLC, Barcelona Clinic Liver Cancer; CLIP, Cancer of the Liver Italian Program; DCA, decision curve analysis; RFS, recurrence‐free survival; OS, overall survival.

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