Retrospective Cohort Study
Copyright ©The Author(s) 2018.
World J Gastroenterol. Mar 28, 2018; 24(12): 1321-1331
Published online Mar 28, 2018. doi: 10.3748/wjg.v24.i12.1321
Table 1 BALAD score calculation
0 point1 point2 points3 points
Bilirubin (mg/dL)< 1.01.0-2.0> 2.0
Albumin (g/dL)> 3.52.8-3.5< 2.8
Summation of these 2 points, then classified as A (0-1), B (2-3), C (4)
Albumin-BilirubinABC-
No. of elevated markers10123
Summation of these 2 points for BALAD score (0-5)
Table 2 BALAD-2 class calculation
Linear predictor = 0.02 × (AFP - 2.57) + 0.012 × [(AFP-L3) - 14.19] + 0.19 × [ln(DCP) - 1.93] + 0.17 × [(bilirubin)1/2- 4.50] - 0.09 × (albumin - 35.11)
AFP capped at 50000 units. AFP and DCP modeled as /1000 units.
Units: Bilirubin (μmol/L), albumin (g/L), AFP and DCP (ng/mL), AFP-L3 (%).
class 1 (≤ -1.74), class 2 (> -1.74 to -0.91), class 3 (> -0.91 to 0.24), class 4 (> 0.24)
Table 3 GALAD-z and GALAD score calculation
GALAD-z = -10.08 + 0.09 × (Age) + 1.67 × (sex) + 2.34 × log(AFP) + 0.04 × (AFP-L3) + 1.33 × log(DCP)
GALAD score = exp (GALAD-z)/[1 + exp(GALAD-z)]
Table 4 Baseline characteristics of 113 hepatocellular carcinoma patients who underwent liver transplant with available biomarker results n (%)
VariablesValue
Age, yr, mean ± SD58.2 ± 8.3
Male sex86 (76)
Race
White91 (80)
Asian11 (10)
Others7 (6)
Unknown4 (4)
Etiology
Hepatitis virus C66 (58)
Hepatitis virus B11 (10)
Alcohol14 (12)
Non-alcoholic fatty liver disease or cryptogenic14 (12)
Others8 (7)
Cirrhosis104 (92)
CTP class
A13 (12)
B76 (67)
C24 (21)
MELD score, median (range)14.2 (6.4–38.6)
ECOG status
057 (50)
134 (30)
219 (17)
33 (3)
Diameter of the largest tumor at the time of transplant by imaging, cm, mean ± SD2.7 ± 1.6
Tumor number at the time of transplant
173 (64.6)
226 (23.0)
37 (6.2)
≥ 47 (6.2)
BCLC staging
Stage 01 (1)
Stage A39 (35)
Stage B7 (6)
Stage C40 (35)
Stage D26 (23)
Within Milan criteria at diagnosis87 (77)
Within UCSF criteria at diagnosis96 (85)
Within Milan criteria at transplant88 (78)
Within UCSF criteria at transplant105 (93)
AFP model score > 226 (23)
Total bilirubin, mg/dL, median (range)2.3 (0.2-29.5)
Albumin, g/dL, median (range)3.2 (2.1-5.2)
AFP, ng/mL, median (range)25.3 (0.8-27800)
AFP > 400 ng/mL18 (16)
AFP-L3, %, median (range)12 (1-86.5)
AFP-L3 > 15%45 (40)
DCP, ng/mL, median (range)1.2 (0.2-1480)
DCP > 1.2 ng/mL56 (50)
Table 5 Univariate models for recurrence and death outcome
VariableHazard ratio for recurrence
Hazard ratio for death
HR (95%CI)P valueHR (95%CI)P value
MELD score (per point)1.03 (0.98-1.09)0.261.05 (1.003-1.09)0.04a
Diameter of the largest tumor at time of transplant (per cm)1.27 (1.04-1.56)0.02a1.21 (1.03-1.41)0.02
Tumor number at time of transplant1.001 (0.73-1.37)1.000.93 (0.72-1.20)0.57
Neutrophil lymphocyte ratio > 42.24 (1.17-4.26)0.02a1.66 (1.004-2.73)0.048a
Hypothyroidism1.26 (0.55-2.85)0.591.54 (0.82-2.90)0.18
BALAD components
Albumin (per g/dL)0.75 (0.41-1.38)0.360.69 (0.43-1.13)0.14
Bilirubin (per mg/dL)1.03 (0.98-1.09)0.211.04 (0.995-1.08)0.08
AFP: > 400 ng/mL2.42 (1.18-5.00)0.02a3.27 (1.84-5.80)< 0.001b
AFP-L3 > 15%1.86 (0.98-3.52)0.0561.88 (1.14-3.09)0.01a
DCP > 1.2 ng/mL2.83 (1.42-5.61)0.003b2.40 (1.43-4.04)< 0001b
BALAD Score
0ReferenceReference
10.70 (0.20-2.47)0.581.14 (0.40-3.23)0.81
21.18 (0.37-3.75)0.782.01 (0.75-5.38)0.17
31.99 (0.62-6.36)0.242.73 (0.99-7.51)0.052
42.97 (0.84-10.58)0.094.68 (1.52-14.36)0.007b
55.02 (0.92-27.54)0.0617.40 (3.81-79.47)< 0.001b
BALAD Score (per increase of 1)1.48 (1.15-1.91)0.002b1.59 (1.28-1.97)< 0.001b
BALAD-2 Score
1ReferenceReference
20.41 (0.12-1.32)0.131.07 (0.50-2.28)0.86
31.53 (0.66-3.54)0.321.76 (0.87-3.54)0.11
42.17 (0.90-5.25)0.092.45 (1.16-5.17)0.02a
BALAD-2 Score (per increase of 1)1.45 (1.06-1.98)0.02a1.38 (1.09-1.76)0.008b
Within Milan criteria at diagnosis1.69 (0.84-3.41)0.142.17 (1.25-3.78)0.006b
Within UCSF criteria at diagnosis1.85 (0.85-4.05)0.123.19 (1.75-5.84)< 0.001b
Within Milan criteria at transplant1.24 (0.59-2.62)0.571.06 (0.57-1.95)0.86
Within UCSF criteria at transplant0.33 (0.05-2.43)0.280.68 (0.21-2.17)0.51
z-GALAD1.12 (1.03-1.21)0.006b1.12 (1.06-1.19)< 0.001b
GALAD score3.01 (1.14-7.91)0.03a3.22 (1.48-7.00)0.003b
AFP model cutoff > 2 (explant)2.82 (1.47-5.41)0.002b2.83 (1.67-4.82)< 0.001b
AFP model (per increase of 1, explant)1.42 (1.20-1.68)< 0.001b1.34 (1.16-1.54)< 0.001b
Table 6 Multivariate model for recurrence outcome with BALAD and BALAD-2
VariableHazard ratio with BALAD
Hazard ratio with BALAD-2
HR (95%CI)P valueHR (95%CI)P value
Diameter of the largest tumor at time of transplant (per cm)1.33 (1.07-1.66)0.02b1.30 (1.05-1.59)0.014a
Neutrophil-lymphocyte ratio1.55 (0.78-3.14)0.211.76 (0.90-3.49)0.10
BALAD (per increase of 1)1.53 (1.17-2.01)0.002b--
BALAD-2 (per increase of 1)--1.45 (1.05-2.03)0.02a
Table 7 Multivariate model for death outcome with BALAD and BALAD-2
VariableHazard ratio with BALADHazard ratio with BALAD-2
HR (95%CI)P valueHR (95%CI)P value
Diameter of the largest tumor at time of transplant (per cm)1.24 (1.04-1.48)0.016a1.20 (1.02-1.42)0.03a
Neutrophil-lymphocyte ratio1.13 (0.67-1.92)0.641.31 (0.78-2.19)0.31
BALAD (per increase of 1)1.57 (1.27-1.96)< 0.0001--
BALAD-2 (per increase of 1)--1.37 (1.07-1.76)0.013a
Table 8 Multivariate model of biomarkers and tumor size at time of transplant (S-LAD)
VariableHazard ratio for recurrence
Hazard ratio for death
HR (95%CI)P valueHR (95%CI)P value
Diameter of the largest tumor at time of transplant (per cm)1.30 (1.05-1.61)0.02a1.29 (1.08-1.55)0.006b
AFP: > 400 ng/mL1.63 (0.70-3.83)0.262.40 (1.19-4.83)0.02a
AFP-L3 > 15%0.995 (0.46-2.18)0.991.01 (0.54-1.88)0.98
DCP > 1.2 ng/mL2.69 (1.28-5.64)0.009b2.33 (1.31-4.13)0.004b
c-statistic (95%CI)0.71 (0.62-0.81)0.69 (0.61-0.77)
Table 9 Comparison of models to predict outcome of liver transplant patients
Variablec-statistic (95%CI)
For recurrenceFor death
Number of elevated biomarkers0.66 (0.57-0.75)0.66 (0.59-0.73)
BALAD Score (per increase of 1)0.64 (0.55-0.73)0.65 (0.58-0.73)
BALAD-2 Score (per increase of 1)0.61 (0.52-0.70)0.61 (0.54-0.68)
Within Milan criteria at diagnosis0.56 (0.49-0.62)0.58 (0.54-0.63)
Within UCSF criteria at diagnosis0.55 (0.49-0.60)0.59 (0.55-0.63)
Within Milan criteria at transplant0.53 (0.46-0.59)0.52 (0.47-0.57)
Within UCSF criteria at transplant0.53 (0.48-0.58)0.50 (0.47-0.54)
z-GALAD0.63 (0.53-0.72)0.64 (0.56-0.72)
GALAD score0.63 (0.53-0.72)0.64 (0.56-0.72)
AFP model (explant model)0.59 (0.51-0.67)0.58 (0.51-0.65)

  • Citation: Wongjarupong N, Negron-Ocasio GM, Chaiteerakij R, Addissie BD, Mohamed EA, Mara KC, Harmsen WS, Theobald JP, Peters BE, Balsanek JG, Ward MM, Giama NH, Venkatesh SK, Harnois DM, Charlton MR, Yamada H, Algeciras-Schimnich A, Snyder MR, Therneau TM, Roberts LR. Model combining pre-transplant tumor biomarkers and tumor size shows more utility in predicting hepatocellular carcinoma recurrence and survival than the BALAD models. World J Gastroenterol 2018; 24(12): 1321-1331
  • URL: https://www.wjgnet.com/1007-9327/full/v24/i12/1321.htm
  • DOI: https://dx.doi.org/10.3748/wjg.v24.i12.1321