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©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
Published online Mar 28, 2018. doi: 10.3748/wjg.v24.i12.1321
Table 1 BALAD score calculation
0 point | 1 point | 2 points | 3 points | |
Bilirubin (mg/dL) | < 1.0 | 1.0-2.0 | > 2.0 | |
Albumin (g/dL) | > 3.5 | 2.8-3.5 | < 2.8 | |
Summation of these 2 points, then classified as A (0-1), B (2-3), C (4) | ||||
Albumin-Bilirubin | A | B | C | - |
No. of elevated markers1 | 0 | 1 | 2 | 3 |
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 (%)
Variables | Value |
Age, yr, mean ± SD | 58.2 ± 8.3 |
Male sex | 86 (76) |
Race | |
White | 91 (80) |
Asian | 11 (10) |
Others | 7 (6) |
Unknown | 4 (4) |
Etiology | |
Hepatitis virus C | 66 (58) |
Hepatitis virus B | 11 (10) |
Alcohol | 14 (12) |
Non-alcoholic fatty liver disease or cryptogenic | 14 (12) |
Others | 8 (7) |
Cirrhosis | 104 (92) |
CTP class | |
A | 13 (12) |
B | 76 (67) |
C | 24 (21) |
MELD score, median (range) | 14.2 (6.4–38.6) |
ECOG status | |
0 | 57 (50) |
1 | 34 (30) |
2 | 19 (17) |
3 | 3 (3) |
Diameter of the largest tumor at the time of transplant by imaging, cm, mean ± SD | 2.7 ± 1.6 |
Tumor number at the time of transplant | |
1 | 73 (64.6) |
2 | 26 (23.0) |
3 | 7 (6.2) |
≥ 4 | 7 (6.2) |
BCLC staging | |
Stage 0 | 1 (1) |
Stage A | 39 (35) |
Stage B | 7 (6) |
Stage C | 40 (35) |
Stage D | 26 (23) |
Within Milan criteria at diagnosis | 87 (77) |
Within UCSF criteria at diagnosis | 96 (85) |
Within Milan criteria at transplant | 88 (78) |
Within UCSF criteria at transplant | 105 (93) |
AFP model score > 2 | 26 (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/mL | 18 (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/mL | 56 (50) |
Table 5 Univariate models for recurrence and death outcome
Variable | Hazard ratio for recurrence | Hazard ratio for death | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
MELD score (per point) | 1.03 (0.98-1.09) | 0.26 | 1.05 (1.003-1.09) | 0.04a |
Diameter of the largest tumor at time of transplant (per cm) | 1.27 (1.04-1.56) | 0.02a | 1.21 (1.03-1.41) | 0.02 |
Tumor number at time of transplant | 1.001 (0.73-1.37) | 1.00 | 0.93 (0.72-1.20) | 0.57 |
Neutrophil lymphocyte ratio > 4 | 2.24 (1.17-4.26) | 0.02a | 1.66 (1.004-2.73) | 0.048a |
Hypothyroidism | 1.26 (0.55-2.85) | 0.59 | 1.54 (0.82-2.90) | 0.18 |
BALAD components | ||||
Albumin (per g/dL) | 0.75 (0.41-1.38) | 0.36 | 0.69 (0.43-1.13) | 0.14 |
Bilirubin (per mg/dL) | 1.03 (0.98-1.09) | 0.21 | 1.04 (0.995-1.08) | 0.08 |
AFP: > 400 ng/mL | 2.42 (1.18-5.00) | 0.02a | 3.27 (1.84-5.80) | < 0.001b |
AFP-L3 > 15% | 1.86 (0.98-3.52) | 0.056 | 1.88 (1.14-3.09) | 0.01a |
DCP > 1.2 ng/mL | 2.83 (1.42-5.61) | 0.003b | 2.40 (1.43-4.04) | < 0001b |
BALAD Score | ||||
0 | Reference | Reference | ||
1 | 0.70 (0.20-2.47) | 0.58 | 1.14 (0.40-3.23) | 0.81 |
2 | 1.18 (0.37-3.75) | 0.78 | 2.01 (0.75-5.38) | 0.17 |
3 | 1.99 (0.62-6.36) | 0.24 | 2.73 (0.99-7.51) | 0.052 |
4 | 2.97 (0.84-10.58) | 0.09 | 4.68 (1.52-14.36) | 0.007b |
5 | 5.02 (0.92-27.54) | 0.06 | 17.40 (3.81-79.47) | < 0.001b |
BALAD Score (per increase of 1) | 1.48 (1.15-1.91) | 0.002b | 1.59 (1.28-1.97) | < 0.001b |
BALAD-2 Score | ||||
1 | Reference | Reference | ||
2 | 0.41 (0.12-1.32) | 0.13 | 1.07 (0.50-2.28) | 0.86 |
3 | 1.53 (0.66-3.54) | 0.32 | 1.76 (0.87-3.54) | 0.11 |
4 | 2.17 (0.90-5.25) | 0.09 | 2.45 (1.16-5.17) | 0.02a |
BALAD-2 Score (per increase of 1) | 1.45 (1.06-1.98) | 0.02a | 1.38 (1.09-1.76) | 0.008b |
Within Milan criteria at diagnosis | 1.69 (0.84-3.41) | 0.14 | 2.17 (1.25-3.78) | 0.006b |
Within UCSF criteria at diagnosis | 1.85 (0.85-4.05) | 0.12 | 3.19 (1.75-5.84) | < 0.001b |
Within Milan criteria at transplant | 1.24 (0.59-2.62) | 0.57 | 1.06 (0.57-1.95) | 0.86 |
Within UCSF criteria at transplant | 0.33 (0.05-2.43) | 0.28 | 0.68 (0.21-2.17) | 0.51 |
z-GALAD | 1.12 (1.03-1.21) | 0.006b | 1.12 (1.06-1.19) | < 0.001b |
GALAD score | 3.01 (1.14-7.91) | 0.03a | 3.22 (1.48-7.00) | 0.003b |
AFP model cutoff > 2 (explant) | 2.82 (1.47-5.41) | 0.002b | 2.83 (1.67-4.82) | < 0.001b |
AFP model (per increase of 1, explant) | 1.42 (1.20-1.68) | < 0.001b | 1.34 (1.16-1.54) | < 0.001b |
Table 6 Multivariate model for recurrence outcome with BALAD and BALAD-2
Variable | Hazard ratio with BALAD | Hazard ratio with BALAD-2 | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Diameter of the largest tumor at time of transplant (per cm) | 1.33 (1.07-1.66) | 0.02b | 1.30 (1.05-1.59) | 0.014a |
Neutrophil-lymphocyte ratio | 1.55 (0.78-3.14) | 0.21 | 1.76 (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
Variable | Hazard ratio with BALAD | Hazard ratio with BALAD-2 | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Diameter of the largest tumor at time of transplant (per cm) | 1.24 (1.04-1.48) | 0.016a | 1.20 (1.02-1.42) | 0.03a |
Neutrophil-lymphocyte ratio | 1.13 (0.67-1.92) | 0.64 | 1.31 (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)
Variable | Hazard ratio for recurrence | Hazard ratio for death | ||
HR (95%CI) | P value | HR (95%CI) | P value | |
Diameter of the largest tumor at time of transplant (per cm) | 1.30 (1.05-1.61) | 0.02a | 1.29 (1.08-1.55) | 0.006b |
AFP: > 400 ng/mL | 1.63 (0.70-3.83) | 0.26 | 2.40 (1.19-4.83) | 0.02a |
AFP-L3 > 15% | 0.995 (0.46-2.18) | 0.99 | 1.01 (0.54-1.88) | 0.98 |
DCP > 1.2 ng/mL | 2.69 (1.28-5.64) | 0.009b | 2.33 (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
Variable | c-statistic (95%CI) | |
For recurrence | For death | |
Number of elevated biomarkers | 0.66 (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 diagnosis | 0.56 (0.49-0.62) | 0.58 (0.54-0.63) |
Within UCSF criteria at diagnosis | 0.55 (0.49-0.60) | 0.59 (0.55-0.63) |
Within Milan criteria at transplant | 0.53 (0.46-0.59) | 0.52 (0.47-0.57) |
Within UCSF criteria at transplant | 0.53 (0.48-0.58) | 0.50 (0.47-0.54) |
z-GALAD | 0.63 (0.53-0.72) | 0.64 (0.56-0.72) |
GALAD score | 0.63 (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