| Literature DB >> 31427563 |
Abdulahad Abdulrab Mohammed Al-Ameri1,2, Xuyong Wei1,2, Peng Liu1,2, Lidan Lin3, Zhou Shao1,2, Haiyang Xie1,2, Lin Zhou1,2, Shusen Zheng1,2,3, Xiao Xu1,2,3.
Abstract
BACKGROUND Early recurrence after liver transplantation (LT) is still a clinical problem. This multicenter study evaluated the Milan, Hangzhou, and AFP model-based criteria for prediction of early recurrence of HCC in patients with cirrhosis who had undergone LT. MATERIAL AND METHODS From the China Liver Transplant Registry (CLTR) database, we analyzed data of 589 HCC patients who had undergone LT between Jan 2015 and Jan 2019. Imaging data and AFP levels were evaluated immediately before LT. Recurrence and overall survival rates at 2 years were tested using the Kaplan-Meier estimate. The Milan criteria, Hangzhou criteria, and AFP model-based criteria were evaluated. RESULTS We found that 62.0%, 91.2%, and 67.6% of patients were within the Milan criteria, Hangzhou criteria, and AFP model-based criteria, respectively. The 2-year recurrence rate was 8.9%, 15.8%, and 11.8% with corresponding overall survival of 85.3%, 82.7%, and 86.5%, respectively. The 2-year recurrence rate was different in patients fulfilling and exceeding the AFP model-based criteria among patients who met either the Milan criteria (7.9% vs. 18.8%, HR=3.83, p=0.006) or Hangzhou criteria (12.0% vs. 27.6%, HR=2.95, p<0.001). However, the 2-year recurrence rate was not significantly different among patients who were beyond either the Milan or Hangzhou criteria. CONCLUSIONS For the prediction of early recurrence of HCC in patients with cirrhosis after liver transplantation, Milan criteria, Hangzhou criteria, and AFP model-based criteria are effective predictive tools for stratification of patients into low- and high-risk groups of recurrence with different prognoses. The AFP model-based criteria can identify a subgroup of patients with high risk of recurrence among patients who met either Milan or Hangzhou criteria.Entities:
Mesh:
Year: 2019 PMID: 31427563 PMCID: PMC6713034 DOI: 10.12659/AOT.917296
Source DB: PubMed Journal: Ann Transplant ISSN: 1425-9524 Impact factor: 1.530
Characteristics of the study population.
| Variable | Study group |
|---|---|
| Age | 52.2± 8.7 |
| Sex (M/F) n (%) | 521 (88.5)/68 (11.5) |
| BMI | 24.1±11.8 |
| Hypertension (yes/no) n (%) | 69 (11.7)/520 (88.2) |
| Diabetes (yes/no) n (%) | 90 (15.2)/499 (84.7) |
| Blood group n (%) A/B/O/AB | 174 (29.5)/176 (29.9)/179 (30.4)/60 (10.2) |
| MELD score | 12 [9–19], (6–47) |
| Child score n (%) A/B/C | 379 (64.4)/168 (28.5)/42 (7.1) |
| HBV/non-HBV n (%) | 554 (94.1)/35 (5.9) |
| Number of nodules | 1 [1–2], (1–10) |
| Largest tumor diameter (cm) | 3.3 [2–5], (0.3–23) |
| Milan criteria in/out (n,%) | 365 (62.0)/224 (38.0) |
| Hangzhou criteria in/out (n,%) | 537 (91.2)/52 (8.8) |
| AFP model in/out (n,%) | 398 (67.6)/191 (32.4) |
| Pre-LT neoadjuvant therapies (n,%) | |
| TACE (yes/no) | 235 (39.9)/353 (59.9) |
| RFA (yes/no) | 111 (18.9)/478 (81.2) |
| Hepatectomy (yes/no) | 89 (15.1)/500 (84.9) |
| Donor type (n,%) | |
| DBD | 169 (28.7) |
| DCD | 241 (40.9) |
| DBCD | 179 (30.4) |
| Donor death cause (n,%) | |
| Trauma | 351 (59.6) |
| CVA | 166 (28.2) |
| Tumor | 34 (5.8) |
| Anoxia | 25 (4.2) |
| Others | 13 (2.2) |
| Post-LT mortality (n,%) | |
| Alive | 516 (87.6) |
| HCC-related death | 36 (6.1) |
| HCC-unrelated death | 37 (6.3) |
| Overall Recurrence rate (n,%) | 55 (9.3) |
| Follow-up (days) | 280 [99–594], (1–1428) |
M – Male; F – Female; BMI – body mass index; MELD – Model for End-Stage Liver Disease; HCC – hepatocellular carcinoma; LT – liver transplantation; TACE – transarterial chemoembolization; RFA – radiofrequency ablation; DBD – donation after brain death; DCD – donation after circulatory death; DBCD – donation after brain death followed by circulatory death; CVA – cerebrovascular accident.
Mean ±SD;
(median, [IQR, interquartile range]),(range),
missing value.
Figure 1Two-year recurrence and survival rates according to Milan criteria (A, B) according to Hangzhou criteria (C, D) and according to AFP model-based criteria (E, F).
Figure 2(A) Two-year recurrence rates of patients fulfilling (p=0.516) or exceeding (p=0.823) either Milan criteria or AFP model-based criteria. (B) Two-year recurrence rates of patients fulfilling (p=0.109) or exceeding (p=0.661) either Hangzhou criteria or AFP model-based criteria. (C) Two-year recurrence rates of patients fulfilling (p=0.030) or exceeding (p=0.496) either Milan or Hangzhou criteria.
Figure 3Two-year recurrence rates according to AFP model-based criteria in patients fulfilling Milan criteria (A), in patients exceeding Milan criteria (B), in patients fulfilling Hangzhou criteria (C), and in patients exceeding Hangzhou criteria (D).
Comparative analysis of clinical features according to AFP model-based criteria, Milan, and Hangzhou criteria.
| Variable | Milan | Hangzhou | AFP model | ||||||
|---|---|---|---|---|---|---|---|---|---|
| In (n=365) | Out (n=224) | P | In (n=537) | Out (n=52) | P | In (n=398) | Out (n=191) | P | |
| Age | 52.1±8.52 | 52.3±9.1 | 0.895 | 52.2±8.7 | 52.5±9.0 | 0.831 | 52.1±8.2 | 52.5±9.7 | 0.597 |
| Sex (M/F) n | 316/49 | 205/19 | 0.068 | 474/63 | 47/5 | 0.648 | 351/47 | 170/21 | 0.772 |
| BMI | 24.4±14.9 | 23.6± 3.3 | 0.426 | 24.1± 12.4 | 23.9±4.1 | 0.893 | 24.1±12.8 | 24.1± 9.8 | 0.990 |
| Hypertension (yes/no) n | 323/42 | 197/27 | 0.841 | 476/61 | 44/8 | 0.389 | 358/40 | 162/29 | 0.070 |
| Diabetes (yes/no) n | 303/62 | 196/28 | 0.142 | 455/82 | 44/8 | 0.983 | 336/62 | 163/28 | 0.772 |
| Blood group (A/B/O/AB) n | 100/105/116/44 | 74/71/63/16 | 0.122 | 155/163 162/57 | 19/13 17/3 | 0.459 | 113/118 120/47 | 61/58 59/13 | 0.288 |
| MELD score | 12 [8–19], (6–51) | 13 [9–19.5], (6–47) | 0.451 | 12 [9–19], (6–51) | 14 [9–25.5], (6–42) | 0.130 | 12 [9–18], (6–51) | 13 [9–22], (6–47) | 0.177 |
| Child score | 5 [4–7], (4–12) | 6 [4–7.5], (4–11) | 0.288 | 5 [4–7], (4–12) | 6.5 [5–8], (4–11) | 0.014 | 5 [4–7], (4–12) | 6 [4–8], (4–12) | 0.043 |
| HBV/non-HBV n | 345/20 | 209/15 | 0.544 | 502/35 | 52/0 | 0.058 | 374/24 | 180/11 | 0.896 |
| Number of nodules | 1 [1–2], (1–3) | 2 [1–3], (1–10) | <0.001 | 1 [1–2], (1–8) | 2 [1–3], (1–10) | 0.005 | 1 [1–2], (1–8) | 2 [1–3], (1–10) | <0.001 |
| Largest tumor diameter (cm) | 2.5 [1.63], (0.5–5.1) | 5.5 [4–8], (0.6–17) | <0.001 | 3 [2–4.5], (0.5–15.5) | 8 [5–11.55], (2.2–17) | <0.001 | 2.5 [1.8–3.5], (0.5–6) | 5.5 [4–8], (1–17) | <0.001 |
| Total tumor diameter (cm) | 3 [2–4], (0.5–8.5) | 8 [6–10.3], (1.3–17.5) | <0.001 | 4 [2.5–6], (0.5–17.5) | 10.7 [9.2–12.5], (3–17) | <0.001 | 3 [2–4.5], (0.5–12) | 8 [5.3–10.5], (1.5–17.5) | <0.001 |
| Pre-LT neoadjuvant therapies (yes/no) n | 176/189 | 138/86 | 0.002 | 281/256 | 33/19 | 0.124 | 205/193 | 109/82 | 0.205 |
| Post-LT macrovascular invasion(yes/no) n | 55/310 | 43/141 | 0.192 | 87/450 | 11/41 | 0.360 | 67/331 | 31/160 | 0.854 |
| Tumor differentiation (well, moderate, poor) n | 60/266/39 | 31/157/36 | 0.141 | 85/398/54 | 6/25/21 | <0.001 | 69/290/39 | 22/133/36 | 0.003 |
| Follow-up (days) | 280 [98–602], (1–1428) | 264 [100.5–573], (2–1404) | 0.821 | 282 [99–617], (1–1428) | 203.5 [101.5–510.5], (20–1231) | 0.418 | 299.5 [101–599, (1–1428) | 220 [94–587], (2 1366) | 0.295 |
Mean ±SD;
(median, [IQR, interquartile range]), (range).
Univariate and multivariate analysis of factors associated with HCC early recurrence.
| Recurrence-free survival | ||||
|---|---|---|---|---|
| Variable | Univariate analysis | Multivariate analysis | ||
| HR (95%CI) | P | HR (95%CI) | P | |
| Age (years) | 1.01 (.97–1.03) | 0.995 | ||
| Sex (M/F) | 1.20 (0.48–3.01) | 0.689 | ||
| BMI | 0.99 (0.93–1.05) | 0.515 | ||
| Hypertension (yes/no) | 1.01 (0.43–2.36) | 0.978 | ||
| Diabetes (yes/no) | 1.09 (0.51–2.30) | 0.832 | ||
| Blood group | 1.33 (1.02–1.74) | 0.035 | ||
| MELD score | 0.97 (0.94–1.00) | 0.043 | 0.97 (.94–1.01) | 0.034 |
| Child score | 0.88 (0.76–1.02) | 0.073 | ||
| Pre-LT AFP | ||||
| ≤100 | ||||
| 100–1000 | 1.41 (0.73–2.72) | 0.005 | ||
| >1000 | 3.18 (1.67–6.04) | |||
| Number of nodules | 1.23 (1.06–1.43) | 0.015 | ||
| Largest tumor diameter (cm) | 1.19 (1.11–1.27) | <0.001 | ||
| Total tumor diameter (cm) | 1.20 (1.14–1.27) | <0.001 | 1.20 (1.13–1.28) | <0.001 |
| Pre-LT neoadjuvant therapies (yes/no) | 2.16 (1.21–3.87) | 0.007 | ||
| Post-LT macrovascular invasion (yes/no) | 2.83 (1.64–4.88) | <0.001 | 0.39 (0.22–0.67) | 0.001 |
| Tumor differentiation (well, moderate, poor) | 1.57 (0.98–2.51) | 0.058 | ||