A new model based inflammatory index and tumor burden score (TBS) to predict the recurrence of hepatocellular carcinoma (HCC) after liver resection.
A new model based inflammatory index and tumor burden score (TBS) to predict the recurrence of hepatocellular carcinoma (HCC) after liver resection.
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基于炎症指数和肿瘤负荷评分（TBS）的新模型预测肝切除术后肝细胞癌（HCC）的复发
DOI：
10.1038/s41598-022-12518-5
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发表时间：
2022-05-23
影响因子：
4.6
通讯作者：
中科院分区：
文献类型：
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作者：
建立一个基于炎症指数和肿瘤负荷评分（TBS）预测肝癌切除术后复发的模型。对2017年6月1日至2019年6月1日在中南大学湘雅医院接受肝切除术的217例确诊为肝癌的患者进行了回顾性研究。根据受试者工作特征（ROC）曲线，以Youden指数确定炎症指标和TBS的最佳截断值。通过受试者工作特征曲线下面积（AUC）比较预测性能。采用考克斯回归分析肝癌切除术后复发的危险因素。根据患者的独立危险因素，建立基于炎症指数和肿瘤负荷评分（TBS）的HCC预测模型，并与单一指数（TBS组和NLR组）和传统HCC分期模型（TNM分期和BCLC分期）进行比较。MLR = 0.39、NLR = 2.63、PLR = 134、SII = 428和TBS = 8.06为最佳临界值。SII、PLR、NLR、MLR和TBS的AUC分别为0.643、0.642、0.642、0.618和0.724。MVI（P = 0.005）、卫星结节（P = 0.017）、BCLC B-C分期（P = 0.013）、NLR > 2.63（P = 0.013）、TBS > 8.06（P = 0.017）是HCC术后复发的独立危险因素。根据本研究，获得了最佳的炎症指标NLR和TBS组合。NLR-TBS模型的AUC为0.762，不仅优于NLR组（AUC = 0.630）和TBS组（AUC = 0.671），也优于传统的BCLC（AUC = 0.620）和TNM（AUC = 0.587）分期模型。有趣的是，我们发现NLR和TBS应该是肝切除术后HCC复发的良好预后因素。以最佳炎症指数（NLR）和TBS为基础的NLR-TBS模型具有较好的预测性能，其预测性能不仅优于NLR组和TBS组，而且优于BCLC和TNM分期模型。
To establish a model based on inflammation index and tumor burden score (TBS) to predict recurrence of hepatocellular carcinoma (HCC) after liver resection. A retrospective study was performed on 217 patients who diagnosed HCC underwent liver resection at Xiangya Hospital Central South University from June 1, 2017 to June 1, 2019. According to the receiver operating characteristic (ROC) curve, the optimal cut-off value of inflammatory index and the TBS was determined by the Youden index. Prediction performance was compared by the area under the receiver operating characteristic curve (AUC). Cox regression analysis was used to determine the risk factors for the recurrence of HCC after liver resection. According to the independent risk factors of the patients, a prediction model for HCC was established based on inflammation index and tumor burden score (TBS).The prediction performance of the model was compared with single index (TBS group and NLR group) and traditional HCC stage models (TNM stage and BCLC stage). MLR = 0.39, NLR = 2.63, PLR = 134, SII = 428 and TBS = 8.06 are the optimal cut-off values. AUC of SII, PLR, NLR, MLR and TBS were 0.643, 0.642, 0.642, 0.618 and 0.724respectively. MVI (P = 0.005), satellite nodule (P = 0.017), BCLC B-C stage (P = 0.013), NLR > 2.63 (P = 0.013), TBS > 8.06 (P = 0.017) are independent risk factors for the recurrence of HCC after liver resection. According to this study, the optimal inflammatory index NLR combined with TBS was obtained. The AUC of NLR–TBS model was 0.762, not only better than NLR group (AUC = 0.630) and TBS group (AUC = 0.671), also better than traditional BCLC (AUC = 0.620) and TNM (AUC = 0.587) stage models. Interestingly, we found that NLR and TBS should be good prognostic factor for recurrence of HCC after liver resection. The NLR–TBS model based the best inflammatory index (NLR) and TBS have a better prediction performance and the prediction performance of NLR–TBS model not only better than NLR group and TBS group, but better than BCLC and TNM stage models.
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影响因子：
3.9
作者：
Huang, Pao-Yuan;Wang, Chih-Chi;Tsai, Ming-Chao
通讯作者：
Tsai, Ming-Chao
影响因子：
9
作者：
Tsilimigras, Diamantis, I;Mehta, Rittal;Pawlik, Timothy M.
通讯作者：
Pawlik, Timothy M.
影响因子：
--
作者：
Li, Mu-xing;Zhao, Hong;Cai, Jian-qiang
通讯作者：
Cai, Jian-qiang
影响因子：
4.6
作者：
Toso, Christian;Trotter, James;Kneteman, Norman M.
通讯作者：
Kneteman, Norman M.
影响因子：
45.3
作者：
Johnson, Philip J.;Berhane, Sarah;Toyoda, Hidenori
通讯作者：
Toyoda, Hidenori