A Novel Post-Operative ALRI Model Accurately Predicts Clinical Outcomes of Resected Hepatocellular Carcinoma Patients.
A Novel Post-Operative ALRI Model Accurately Predicts Clinical Outcomes of Resected Hepatocellular Carcinoma Patients.
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新型术后 ALRI 模型可准确预测肝细胞癌切除患者的临床结果
DOI:
10.3389/fonc.2021.665497
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发表时间:
2021
影响因子:
4.7
通讯作者:
Zhou Y
中科院分区:
文献类型:
--
作者:
Liao M;Sun J;Zhang Q;Tang C;Zhou Y;Cao M;Chen T;Hu C;Yu J;Song Y;Li M;Liao W;Zhou Y
Background Hepatocellular carcinoma (HCC) is one of the leading malignant tumors worldwide. Prognosis and long-term survival of HCC remain unsatisfactory, even after radical resection, and many non-invasive predictors have been explored for post-operative patients. Most prognostic prediction models were based on preoperative clinical characteristics and pathological findings. This study aimed to investigate the prognostic value of a newly constructed nomogram, which incorporated post-operative aspartate aminotransferase to lymphocyte ratio index (ALRI). Methods A total of 771 HCC patients underwent radical resection from three medical centers were enrolled and grouped into the training cohort (n = 416) and validation cohort (n = 355). Prognostic prediction potential of ALRI was assessed by receiver operating curve (ROC) analysis. The Cox regression model was used to identify independent prognostic factors. Nomograms for overall survival (OS) and disease-free survival (DFS) were constructed and further validated externally. Results The ROC analysis ranked ALRI as the most effective prediction marker for resected HCC patients, with the cut-off value determined at 22.6. Higher ALRI level positively correlated with larger tumor size, higher tumor node metastasis (TNM) stage, and inversely with lower albumin level and shorter OS and DFS. Nomograms for OS and DFS were capable of discriminating HCC patients into different risk-groups. Conclusions Post-operative ALRI was of prediction value for HCC prognosis. This novel nomogram may categorize HCC patients into different risk groups, and offer individualized surveillance reference for post-operative patients.
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影响因子:
29.4
作者:
El-Serag HB
通讯作者:
El-Serag HB
DOI:
10.1002/hep.29561
发表时间:
2018-03
期刊:
Hepatology (Baltimore, Md.)
影响因子:
--
作者:
Luo P;Yin P;Hua R;Tan Y;Li Z;Qiu G;Yin Z;Xie X;Wang X;Chen W;Zhou L;Wang X;Li Y;Chen H;Gao L;Lu X;Wu T;Wang H;Niu J;Xu G
通讯作者:
Xu G
影响因子:
50.3
作者:
Nakagawa S;Wei L;Song WM;Higashi T;Ghoshal S;Kim RS;Bian CB;Yamada S;Sun X;Venkatesh A;Goossens N;Bain G;Lauwers GY;Koh AP;El-Abtah M;Ahmad NB;Hoshida H;Erstad DJ;Gunasekaran G;Lee Y;Yu ML;Chuang WL;Dai CY;Kobayashi M;Kumada H;Beppu T;Baba H;Mahajan M;Nair VD;Lanuti M;Villanueva A;Sangiovanni A;Iavarone M;Colombo M;Llovet JM;Subramanian A;Tager AM;Friedman SL;Baumert TF;Schwarz ME;Chung RT;Tanabe KK;Zhang B;Fuchs BC;Hoshida Y;Precision Liver Cancer Prevention Consortium
通讯作者:
Precision Liver Cancer Prevention Consortium
影响因子:
3.9
作者:
Zhao, Li-Yun;Yang, Dong-Dong;Wu, Xiang-Yuan
通讯作者:
Wu, Xiang-Yuan
影响因子:
6.7
作者:
Wang, Chenwei;He, Wei;Yuan, Yunfei
通讯作者:
Yuan, Yunfei