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©The Author(s) 2024.
World J Transplant. Sep 18, 2024; 14(3): 95849
Published online Sep 18, 2024. doi: 10.5500/wjt.v14.i3.95849
Published online Sep 18, 2024. doi: 10.5500/wjt.v14.i3.95849
Table 1 Pretransplant donor and tumour characteristics
No. (%) | |
Donor age (/years) | |
Median (Min.-Max.) | 54 (12-83) |
Donor sex | |
Male | 146 (62.4) |
Female | 88 (37.6) |
Donor type | |
DBD | 126 (53.8) |
DCD | 108 (46.2) |
Tumour largest size (cm) | |
≤ 5 | 226 (98.3) |
> 5 | 4 (1.7) |
Median (range) | 2.4 (1-6.7) |
Number of tumours | |
≤ 3 | 225 (97) |
> 3 | 7 (3) |
Median | 1 (1-6) |
AFP-listing | |
< 100 | 205 (88.8) |
100-500 | 21 (9) |
500-1000 | 1 (0.4) |
> 1000 | 4 (1.7) |
Median (range) | 7 (1-2634) |
TACE | 93 (39.7) |
Ablation | 57 (24.4) |
MELD | |
Median (range) | 9 (4-24) |
UKELD | |
Median (range) | 49 (41-65) |
Table 2 Survival with and without recurrence post-liver transplantation for hepatocellular carcinoma
Total No. | No. of dead | Mean (years) | 1 year (%) | 3 years (%) | 5 years (%) | End of study (%) | Log rank | ||
χ2 | P value | ||||||||
Non-recurrence | 209 | 44 | 9.59 | 90.9 | 83.0 | 81.2 | 75.3 | 96.401 | < 0.001 |
Recurrence | 25 | 25 | 1.87 | 72.0 | 12.0 | 0.0 | 0.0 |
Table 3 Univariate and multivariate analysis of predictors of hepatocellular carcinoma recurrence following liver transplantation, n (%)
No-recurrence (n = 209) | Recurrence (n = 25) | Univariate | Multivariate | |||
HR (LL-UL 95%CI) | P value | HR (LL-UL 95%CI) | P value | |||
LT era | ||||||
2010-2013 | 64 (30.6) | 7 (28.0) | 2.146 (0.446-10.330) | 0.341 | ||
2014-2017 | 106 (50.7) | 16 (64.0) | 2.700 (0.621-11.745) | 0.185 | ||
2018-2020 | 39 (18.7) | 2 (8.0) | 1.000 | |||
RETREAT score | ||||||
≤ 3 | 135 (68.2) | 8 (32.0) | 1.000 | 1.000 | ||
> 3 | 63 (31.8) | 17 (68.0) | 4.403 (1.900-10.206) | 0.001 | 1.011 (0.315-3.238) | 0.986 |
Donor type | ||||||
DBD | 110 (52.6) | 16 (64.0) | 1.475 (0.652-3.337) | 0.351 | ||
DCD | 99 (47.4) | 9 (36.0) | 1.000 | |||
Listing to transplant interval (months) | ||||||
< 1 | 45 (21.5) | 9 (36.0) | 1.000 | |||
1-3 | 82 (39.2) | 6 (24.0) | 0.414 (0.147-1.164) | 0.095 | ||
> 3 | 82 (39.2) | 10 (40.0) | 0.692 (0.281-1.704) | 0.423 | ||
Within Milan criteria | 199 (95.2) | 24 (96.0) | 1.359 (0.184-10.046) | 0.764 | ||
Within United Kingdom criteria | 204 (97.6) | 25 (100.0) | 0.048 (7.721 × 10-7–2965.3) | 0.589 | ||
Tumour largest size (cm) | ||||||
≤ 5 | 203 (98.5) | 23 (95.8) | 1.000 | |||
> 5 | 3 (1.5) | 1 (4.2) | 2.380 (0.321-17.629) | 0.396 | ||
Number of tumours | ||||||
≤ 3 | 200 (96.6) | 25 (100.0) | 1.000 | |||
> 3 | 7 (3.4) | 0 (0.0) | 0.047 (0.000-519.138) | 0.520 | ||
AFP-listing | ||||||
< 100 | 185 (89.8) | 20 (80.0) | 1.000 | 1.000 | ||
100-500 | 18 (8.7) | 3 (12.0) | 1.468 (0.436-4.941) | 0.536 | 0.723 (0.201-2.596) | 0.619 |
> 500 | 3 (1.5) | 2 (8.0) | 5.170 (1.207-22.138) | 0.027 | 8.958 (1.689-47.503) | 0.010 |
Bridging | 117 (56.0) | 21 (84.0) | 3.707 (1.272-10.801) | 0.016 | ||
The trend of size between listing and LT on imaging | ||||||
Decrease | 94 (52.5) | 7 (29.2) | 1.000 | 1.000 | ||
Same | 20 (11.2) | 2 (8.3) | 1.243 (0.258-5.986) | 0.786 | 0.851 (0.153-4.738) | 0.854 |
Increase | 65 (36.3) | 15 (62.5) | 3.097 (1.263-7.598) | 0.014 | 1.180 (0.392-3.554) | 0.768 |
The trend of AFP between listing and LT | ||||||
Decrease | 57 (29.1) | 4 (16.0) | 1.000 | |||
Same | 94 (48.0) | 11 (44.0) | 1.697 (0.540-5.329) | 0.365 | ||
Increase | 45 (23.0) | 10 (40.0) | 2.912 (0.913-9.284) | 0.071 | ||
Size change between explant viable largest tumour and listing largest tumour | ||||||
Decrease | 119 (57.5) | 7 (28.0) | 1.000 | |||
Same | 22 (10.6) | 3 (12.0) | 2.090 (0.540-8.082) | 0.285 | ||
Increase | 66 (31.9) | 15 (60.0) | 3.842 (1.566-9.424) | 0.003 | ||
Explant viable tumour number | ||||||
≤ 3 | 152 (84.4) | 18 (75.0) | 1.000 | |||
> 3 | 28 (15.6) | 6 (25.0) | 1.889 (0.750-4.759) | 0.177 | ||
Microvascular invasion | 98 (46.9) | 21 (84.0) | 6.087 (2.089-17.735) | 0.001 | 3.014 (0.697-13.032) | 0.140 |
Macrovascular invasion | 8 (3.8) | 6 (24.0) | 5.320 (2.121-13.348) | < 0.001 | 2.888 (0.907-9.198) | 0.073 |
Satellite nodules | 11 (5.3) | 6 (24.0) | 4.728 (1.887-11.845) | 0.001 | 3.673 (1.204-11.210) | 0.022 |
Tumor grade | ||||||
Complete necrosis | 31 (15.0) | 1 (4.0) | 0.235 (0.032-1.736) | 0.156 | ||
Well-differentiated | 48 (23.2) | 2 (8.0) | 0.311 (0.073-1.320) | 0.113 | ||
Moderately differentiated | 112 (54.1) | 11 (44.0) | 0.673 (0.305-1.481) | 0.325 | ||
Poorly differentiated | 16 (7.7) | 11 (44.0) | 7.805 (3.536-17.230) | < 0.001 | 3.727 (1.428-9.730) | 0.007 |
Table 4 SIMAP500 score
Factor score | |
Satellite nodules | 2 |
Increased viable tumour size from listing to LT | 1 |
Microvascular invasion | 3 |
AFP at listing > 500 | 4 |
Poorly differentiated HCC grade | 3 |
Table 5 Comparison between SIMAP500 and RETREAT scoring systems
Characteristic | SIMAP500 score | RETREAT score |
Consider the presence of satellite nodules on explant histology | Yes | No |
Consider the tumour differentiation grade on explant histology | Yes | No |
AFP capture | At listing with a cutoff point of 500 | At LT with AFP divided into four intervals (very wide range between 100-999 receiving 2 points) |
Consider the increase in the size of the tumour while on the waiting list | Yes | No |
Consider microvascular invasion on explant histology | Yes | Yes |
AUC | 0.807 | 0.703 |
Table 6 Relation between SIMAP500 score and recurrence rate, time to recurrence
SIMAP500 score | Recurrence No. (%) | Median time between LT and recurrence (years) |
0 | 3 (12.0) | 1.44 (1.16-2.18) |
1-3 | 3 (12.0) | 1.68 (0.90-1.78) |
4 | 4 (16.0) | 1.56 (1.32-2.19) |
5 | 2 (8.0) | 0.94 (0.74-1.14) |
≥ 6 | 13 (52.0) | 0.70 (0.21-2.95) |
- Citation: Alnagar A, Zakeri N, Koilias K, Faulkes RE, Brown R, Cain O, Perera MTPR, Roberts KJ, Sanabria-Mateos R, Bartlett DC, Ma YT, Sivakumar S, Shetty S, Shah T, Dasari BVM. SIMAP500: A novel risk score to identify recipients at higher risk of hepatocellular carcinoma recurrence following liver transplantation. World J Transplant 2024; 14(3): 95849
- URL: https://www.wjgnet.com/2220-3230/full/v14/i3/95849.htm
- DOI: https://dx.doi.org/10.5500/wjt.v14.i3.95849