scholarly journals Alpha-fetoprotein in hepatocellular carcinoma surveillance: Wake not the dead

Hepatology ◽  
2011 ◽  
Vol 54 (1) ◽  
pp. 376-377 ◽  
Author(s):  
Edoardo G. Giannini ◽  
Fabio Farinati ◽  
Franco Trevisani
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alpha Fetoprotein ◽  
Hepatocellular Carcinoma Surveillance ◽  
The Dead

Alpha-Fetoprotein Measurement Benefits Hepatocellular Carcinoma Surveillance in Patients with Cirrhosis

2015 ◽  
Vol 110 (6) ◽  
pp. 836-844 ◽  
Author(s):  
Te-Sheng Chang ◽  
Yu-Chih Wu ◽  
Shui-Yi Tung ◽  
Kuo-Liang Wei ◽  
Yung-Yu Hsieh ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alpha Fetoprotein ◽  
Hepatocellular Carcinoma Surveillance

Corrigendum: Alpha-Fetoprotein Measurement Benefits Hepatocellular Carcinoma Surveillance in Patients With Cirrhosis

2016 ◽  
Vol 111 (11) ◽  
pp. 1668 ◽  
Author(s):  
Te-Sheng Chang ◽  
Yu-Chih Wu ◽  
Shui-Yi Tung ◽  
Kuo-Liang Wei ◽  
Yung-Yu Hsieh ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Alpha Fetoprotein ◽  
Hepatocellular Carcinoma Surveillance

823 HEPATOCELLULAR CARCINOMA SURVEILLANCE PROCESS FAILURES IN PATIENTS WITH CIRRHOSIS

2020 ◽  
Vol 158 (6) ◽  
pp. S-1295
Author(s):  
Patrick C. Marquardt ◽  
Po-Hong Liu ◽  
Joshua Immergluck ◽  
Nicole E. Rich ◽  
Adam Yopp ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Hepatocellular Carcinoma Surveillance ◽  
Process Failures

scholarly journals A prognostic nomogram based on LASSO Cox regression in patients with alpha-fetoprotein-negative hepatocellular carcinoma following non-surgical therapy

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dongdong Zhou ◽  
Xiaoli Liu ◽  
Xinhui Wang ◽  
Fengna Yan ◽  
Peng Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Surgical Therapy ◽  
Calibration Curve ◽  
Cox Regression ◽  
Validation Cohort ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Alpha Fetoprotein ◽  
Clinicopathologic Characteristics

Abstract Background Alpha-fetoprotein-negative hepatocellular carcinoma (AFP-NHCC) (< 8.78 ng/mL) have special clinicopathologic characteristics and prognosis. The aim of this study was to apply a new method to establish and validate a new model for predicting the prognosis of patients with AFP-NHCC. Methods A total of 410 AFP-negative patients with clinical diagnosed with HCC following non-surgical therapy as a primary cohort; 148 patients with AFP-NHCC following non-surgical therapy as an independent validation cohort. In primary cohort, independent factors for overall survival (OS) by LASSO Cox regression were all contained into the nomogram1; by Forward Stepwise Cox regression were all contained into the nomogram2. Nomograms performance and discriminative power were assessed with concordance index (C-index) values, area under curve (AUC), Calibration curve and decision curve analyses (DCA). The results were validated in the validation cohort. Results The C-index of nomogram1was 0.708 (95%CI: 0.673–0.743), which was superior to nomogram2 (0.706) and traditional modes (0.606–0.629). The AUC of nomogram1 was 0.736 (95%CI: 0.690–0.778). In the validation cohort, the nomogram1 still gave good discrimination (C-index: 0.752, 95%CI: 0.691–0.813; AUC: 0.784, 95%CI: 0.709–0.847). The calibration curve for probability of OS showed good homogeneity between prediction by nomogram1 and actual observation. DCA demonstrated that nomogram1 was clinically useful. Moreover, patients were divided into three distinct risk groups for OS by the nomogram1: low-risk group, middle-risk group and high-risk group, respectively. Conclusions Novel nomogram based on LASSO Cox regression presents more accurate and useful prognostic prediction for patients with AFP-NHCC following non-surgical therapy. This model could help patients with AFP-NHCC following non-surgical therapy facilitate a personalized prognostic evaluation.

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