TY - JOUR
T1 - BALAD and BALAD-2 predict survival of hepatocellular carcinoma patients
T2 - a North American cohort study
AU - Wongjarupong, Nicha
AU - Negron-Ocasio, Gabriela M.
AU - Mara, Kristin C.
AU - Prasai, Kritika
AU - Abdallah, Mohamed A.
AU - Ahn, Keun Soo
AU - Yang, Ju Dong
AU - Addissie, Benyam D.
AU - Giama, Nasra H.
AU - Harmsen, William S.
AU - Therneau, Terry M.
AU - Roberts, Lewis R.
N1 - Funding Information:
Mayo Clinic Center for Clinical and Translational Science (CCATS), No. NCATS 1UL1TR002377-01; Mayo Clinic Center for Cell Signaling in Gastroenterology, No. NIDDK P30DK084567-09; Mayo Clinic Hepatobiliary SPORE, No. NCI P50CA210964; and Wako Life Sciences, Inc.
Publisher Copyright:
© 2020 International Hepato-Pancreato-Biliary Association Inc.
PY - 2021/5
Y1 - 2021/5
N2 - Background: The BALAD score and BALAD-2 class derived from bilirubin, albumin, AFP, AFP-L3, and des-gamma-carboxyprothrombin (DCP) are effective in predicting mortality in HCC, but have not been validated in North America. Methods: 148 HCC patients from 2000 to 2015 who had all five biomarkers tested at diagnosis were included. Hazard ratios (HR) were calculated. Results: 75 patients died during a median follow-up of 21.9 months. 1-and 3-year survival rates were 70.8% and 47.6%. 114 (77%) had cirrhosis. The HR (95%CI) for death were 1.24 (0.42–3.67), 1.79 (0.61–5.26), 2.83 (0.95–8.38), and 7.19 (2.26–22.91) for BALAD scores 1, 2, 3, and 4 vs. BALAD 0. The HR (95%CI) for death were 1.25 (0.65–2.40), 1.75 (0.94–3.23), and 6.20 (3.29–11.68) for BALAD-2 classes 2, 3, and 4 vs. BALAD-2 class 1. A multivariate model incorporating maximal tumor diameter, tumor number, neutrophil-lymphocyte ratio, and BALAD had HR of 1.43 (1.14–1.81) per increase of 1 BALAD score. A similar model with BALAD-2 had HR of 1.50 (1.18–1.90) per increase of 1 BALAD-2 class. Conclusion: BALAD models at diagnosis can predict the survival of HCC patients in North America. AFP, AFP-L3, and DCP reflect tumor progression and metastasis of HCC and distinguish the BALAD model from other predictive models.
AB - Background: The BALAD score and BALAD-2 class derived from bilirubin, albumin, AFP, AFP-L3, and des-gamma-carboxyprothrombin (DCP) are effective in predicting mortality in HCC, but have not been validated in North America. Methods: 148 HCC patients from 2000 to 2015 who had all five biomarkers tested at diagnosis were included. Hazard ratios (HR) were calculated. Results: 75 patients died during a median follow-up of 21.9 months. 1-and 3-year survival rates were 70.8% and 47.6%. 114 (77%) had cirrhosis. The HR (95%CI) for death were 1.24 (0.42–3.67), 1.79 (0.61–5.26), 2.83 (0.95–8.38), and 7.19 (2.26–22.91) for BALAD scores 1, 2, 3, and 4 vs. BALAD 0. The HR (95%CI) for death were 1.25 (0.65–2.40), 1.75 (0.94–3.23), and 6.20 (3.29–11.68) for BALAD-2 classes 2, 3, and 4 vs. BALAD-2 class 1. A multivariate model incorporating maximal tumor diameter, tumor number, neutrophil-lymphocyte ratio, and BALAD had HR of 1.43 (1.14–1.81) per increase of 1 BALAD score. A similar model with BALAD-2 had HR of 1.50 (1.18–1.90) per increase of 1 BALAD-2 class. Conclusion: BALAD models at diagnosis can predict the survival of HCC patients in North America. AFP, AFP-L3, and DCP reflect tumor progression and metastasis of HCC and distinguish the BALAD model from other predictive models.
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U2 - 10.1016/j.hpb.2020.09.014
DO - 10.1016/j.hpb.2020.09.014
M3 - Article
C2 - 33023823
AN - SCOPUS:85092013544
SN - 1365-182X
VL - 23
SP - 762
EP - 769
JO - HPB
JF - HPB
IS - 5
ER -