Accuracy of Milan, University of California San Francisco, and Up-To-7 Criteria in Predicting Tumor Recurrence Following Deceased-Donor Liver Transplant in Patients With Hepatocellular Carcinoma.

Accuracy of Milan, University of California San Francisco, and Up-To-7 Criteria in Predicting Tumor Recurrence Following Deceased-Donor Liver Transplant in Patients With Hepatocellular Carcinoma.
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DOI:
10.6002/ect.2017.0288
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发表时间:
2020-08
期刊:
Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation
影响因子:
--
通讯作者:
Gurakar A
Gurakar A
中科院分区:
其他
文献类型:
--
作者:
Saberi B;Garonzik-Wang J;Ma M;Ajayi T;Kim A;Luu H;Jakhete N;Pustavoitau A;Anders RA;Georgiades C;Kamel I;Ottmann S;Philosophe B;Cameron AM;Gurakar A

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我们的目的是调查米兰,加州大学旧金山弗朗西斯科,和高达7标准预测肝细胞癌肝移植后肿瘤复发的准确性。在这项研究中,165例死亡供体肝移植治疗肝细胞癌的患者进行了评估。根据外植体病理学计算米兰、加州大学旧金山分校、弗朗西斯科和最多7个标准。肝移植后肿瘤复发率为14.6%。在165例患者中,115例(70%)在米兰,131例(79%)在加州大学旧金山分校弗朗西斯科,135例(82%)在最多7项标准内。米兰、加州大学旧金山弗朗西斯科和最高7岁标准外与标准内患者肿瘤复发的比值比为3.6(95%置信区间,1.5-9.1; P = .005),7.5(95%置信区间,2.5-19.3; P < .001)和7.5(95%置信区间,2.9-19.6; P < .001)倍。米兰以外地区预测肿瘤复发的敏感性与加州大学旧金山弗朗西斯科和最多7个标准相当(分别为56.5%、56.5%和52.2%)。特异性最高的是高达7(87.3%),而加州大学旧金山弗朗西斯科和米兰标准分别为85.2%和73.9%。米兰、加州大学旧金山弗朗西斯科和最多7个标准的曲线下面积分别为0.63、0.65和0.63。应用标准化标准显著提高了对肝癌复发的预测。然而,这些标准是不够的,支持其他因素的重要性,包括肿瘤生物学。研究正在发现新的生物标志物作为肿瘤复发的预测因子。
We aimed to investigate the accuracy of the Milan, University of California San Francisco, and Up-to-7 criteria in predicting tumor recurrence after liver transplant for hepatocellular carcinoma. For this study, 165 patients with deceased-donor liver transplant for hepatocellular carcinoma were evaluated. The Milan, University of California San Francisco, and Up-to-7 criteria were calculated based on explant pathology. Tumor recurrence rate after liver transplant was 14.6%. Of 165 patients, 115 (70%) were within Milan, 131 (79%) were within University of California San Francisco, and 135 (82%) were within Up-to-7 criteria. The odds ratio of tumor recurrence in patients outside versus within criteria for Milan, University of California San Francisco, and Up-to-7 was 3.6 (95% confidence interval, 1.5–9.1; P = .005), 7.5 (95% confidence interval, 2.5–19.3; P < .001), and 7.5 (95% confidence interval, 2.9–19.6; P < .001) times higher, respectively. The sensitivity of being outside of Milan in predicting tumor recurrence was comparable to University of California San Francisco and Up-to-7 criteria (56.5%, 56.5%, and 52.2%, respectively). Specificity was highest in Up-to-7 (87.3%) versus 85.2% for University of California San Francisco and 73.9% for Milan criteria. The area under the curve for Milan, University of California San Francisco, and Up-to-7 criteria was 0.63, 0.65, and 0.63. Application of standard criteria has significantly improved prediction of hepatocellular carcinoma recurrence. However, these criteria are inadequate, supporting the importance of other factors, including tumor biology. Research is ongoing in discovering novel biomarkers as predictors of tumor recurrence.
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