| Literature DB >> 28294176 |
Yuhua Shan1, Lifeng Huang1, Qiang Xia1.
Abstract
Hepatocellular carcinoma is the most common liver malignancy. Salvage liver transplantation (SLT) is viewed as a feasible cure for recurrence of HCC after resectomy, but the effect is under dispute. A retrospective study examined data at Renji Hospital for 239 transplants from January 2006 to December 2015, including 211 who received primary liver transplantation (PLT) and 28 who underwent SLT. A multivariable cox regression model was employed to pick out relative factors to overall survival (OS) and recurrence free survival (RFS). Propensity score matching (PSM) was used to balance the bias. Both OS and RFS were worse in SLT group than in PLT group, especially for those patients within Milan criteria. Our study demonstrates that SLT bears higher risk of recurrence and death than PLT, indicating that SLT should be given a more careful thought at performance.Entities:
Mesh:
Year: 2017 PMID: 28294176 PMCID: PMC5353655 DOI: 10.1038/srep44652
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Patient flow diagram.
Patient characteristics before and after propensity score matching (PSM).
| Objects | Entire patients (n = 239) | PSM (23 pairs) | ||||
|---|---|---|---|---|---|---|
| SLT | PLT | SLT | PLT | |||
| Age (y) Mean ± SD | 47.79 ± 8.64 | 50.45 ± 9.24 | 0.149 | 47.70 ± 9.14 | 50.35 ± 7.61 | 0.572 |
| Gender Male/female | 24/4 | 179 /32 | 1 | 19/4 | 21/2 | 0.665 |
| AFP (mg/mL) median (IQR) | 166.2 (13.47~398.20) | 107.7 (14.08~397.80) | 0.714 | 170.0 (22.70~522.40) | 166.2 (20.80~502.80) | 0.982 |
| CA19–9 (U/mL) median (IQR) | 20.40 (8.50~37.15) | 36.7 (18.60~56.90) | <0.001 | 20.4 (7.40~33.20) | 36.70 (12.17~45.27) | 0.141 |
| Tumor status | 0.548 | 0.238 | ||||
| Within Milan No. (%) | 13 (46.43) | 113 (53.55) | 9 (39.13) | 14 (60.87) | ||
| Over Milan No. (%) | 15 (53.57) | 98 (46.45) | 14 (60.87) | 9 (39.13) | ||
| HBsAg (+) No. (%) | 25 (89.29) | 199 (94.31) | 0.395 | 21 (91.30) | 21 (91.30) | 1.000 |
| HBV DNA (+) No. (%) | 9 (32.14) | 133 (63.03) | 0.001 | 8 (39.13) | 13 (43.48) | 0.236 |
| HCV (+) | 1 (3.57) | 4 (1.90) | 0.467 | 1 (4.35) | 1 (4.35) | 1 |
| Child-Pugh No. (%) | 0.026 | 0.089 | ||||
| A | 17 (60.71) | 76 (36.02) | 16 (69.57) | 9 (39.13) | ||
| B | 6 (21.43) | 97 (45.97) | 5 (21.74) | 12 (52.17) | ||
| C | 5 (17.86) | 38 (18.01) | 2 (8.70) | 2 (8.70%) | ||
| Rapamicin (+) No. (%) | 14 (50%) | 86 40.76% | 0.416 | 14 (60.97) | 12 (52.17) | 0.767 |
Multivariate analysis for recurrence-free survival (RFS) and overall survival (OS) rates before PSM.
| Variables | RFS | OS | ||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Age (y) | 1.01 (0.97~1.05) | 0.783 | 1.03 (0.99~1.07) | 0.104 |
| Gender (female) | 0.35 (0.90~1.11) | 0.750 | 0.63 (0.25~1.57) | 0.299 |
| Donor type split | 5.48 (0.16~192.38) | 0.349 | 5.89 (0.20~170.03) | 0.301 |
| AFP (ng/mL) | 1.001 (1.000~1.001) | <0.001 | 1.001 (1.000~1.001) | 0.006 |
| CA19–9 (U/mL) | 1.00 (0.997~1.004) | 0.502 | 1.00 (1.00~1.00) | 0.658 |
| HBsAg (+) | 2.03 (0.37~11.11) | 0.414 | 0.72 (0.16~3.27) | 0.671 |
| HBV DNA (+) | 1.16 (0.52~2.56) | 0.712 | 0.79 (0.39~1.57) | 0.497 |
| HCV (+) | 0.75 (0.06~10.01) | 0.824 | 1.16 (0.14~10.0) | 0.890 |
| Tumor mass (cm) | 1.12 (1.02~1.23) | 0.023 | 1.11 (1.01~1.22) | 0.040 |
| Tumor number | 0.96 (0.70~1.33) | 0.843 | 1.20 (0.89~1.63) | 0.239 |
| Tumor status within Milan | 0.21 (0.07~0.59) | 0.003 | 0.29 (0.12~0.68) | 0.004 |
| Rapamicin (+) | 0.85 (0.52~1.39) | 0.517 | 1.30 (0.64~2.65) | 0.469 |
| Child-Pugh A | 1.18 (0.22~6.50) | 0.847 | 0.71 (0.17~3.00) | 0.636 |
| Child-Pugh B | 2.06 (0.53~8.06) | 0.300 | 1.49 (0.46~4.76) | 0.506 |
Multivariate analysis for recurrence-free survival (RFS) and overall survival (OS) rates After PSM.
| Variables | RFS | OS | ||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Age (y) | 1.05 (0.96~1.15) | 0.265 | 1.09 (0.99~1.17) | 0.064 |
| Gender (female) | 0.10 (0.00~7.48) | 0.174 | 0.73 (0.55~1.37) | 0.968 |
| Donor type split | 8.33 (0.91~76.92) | 0.061 | 10.08 (0.70~145.81) | 0.090 |
| AFP (ng/mL) | 1.001 (1.000~1.001) | <0.001 | 1.011 (1.002~1.021) | 0.017 |
| CA19–9 (U/mL) | 1.00 (0.99~1.02) | 0.480 | 1.000 (0.999~1.001) | 0.853 |
| HBsAg (+) | 0.09 (0.00~1.76) | 0.110 | 0.32 (0.01~7.74) | 0.483 |
| HBV DNA (+) | 5.13 (0.83~31.44) | 0.077 | 1.92 (0.40~9.19) | 0.415 |
| HCV (+) | 9.52 (2.02~13.33) | 0.924 | 1.26 (0.16~10.07) | 0.840 |
| Tumor diameter (cm) | 1.26 (1.05~1.51) | 0.013 | 1.28 (1.07~1.53) | 0.006 |
| Tumor number | 0.75 (0.39~1.47) | 0.753 | 0.98 (0.50~1.89) | 0.945 |
| Tumor status within Milan | 0.08 (0.01~0.53) | 0.009 | 0.27 (0.14~0.50) | <0.001 |
| Rapamicin (+) | 0.88 (0.15~5.01) | 0.874 | 0.96 (0.18~5.10) | 0.961 |
| Child-Pugh A | 0.01 (0.00~15.16) | 0.203 | 0.77 (0.40~1.49) | 0.443 |
| Child-Pugh B | 0.02 (0.00~12.12) | 0.219 | 1.06 (0.57~1.98) | 0.855 |
Hazard ratio (HR) for clinical outcomes in the SLT group compared with the PLT group in propensity matched cohort.
| Outcomes | Unadjusted | Multivariable adjusted | Adjusted by PSM | |||
|---|---|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | HR (95% CI) | ||||
| OS | 1.59 (0.90~2.82) | 0.109 | 2.17 (1.18~4.01) | 0.013 | 2.84 (1.06~7.67) | 0.038 |
| RFS | 1.90 (1.15~3.16) | 0.013 | 1.98 (1.05~3.72) | 0.035 | 3.53 (1.02~12.20) | 0.037 |
Figure 2OS and RFS comparison between PLT and SLT group both before and after PSM.
(A) and (B) OS and RFS both have an inferior prone in SLT group than in PLT group, with significance in RFS (LogRank p < 0.05) but not in OS (LogRank p > 0.05). (C) and (D) After PSM, the RFS seem significantly worse in SLT group. In a 1:1 match of 23 pairs, the 1 yr, 3 yr and 5 yr OS rate was 77.89%, 74.18% and 68.47% respectively in PLT group, significantly better than 62.34%, 34.29% and 34.29% in SLT group (LogRank P < 0.05). The OS phenomenon was in the same trend with an almost significance, in a 23 to 23 PSM, with 86.96%, 52.17% and 17.39% respectively in P group and 56.52%, 30.43% and 4.35% in SLT group (LogRank P > 0.05).
Figure 3OS and RFS comparison between PLT and SLT group after split by Milan criteria.
(A) and (B) For those within Milan stage, OS and RFS both have a inferior significance in SLT group than in PLT group (LogRank p < 0.05) (C) and (D) For those beyond Milan criteria, both OS and RFS had no significant differences between two groups.
Figure 4OS and RFS comparison between PLT and SLT group after split by Milan criteria with the use of PSM.
(A) and (B) The significance of deteriorated OS and RFS in SLT group remained after PSM in within Milan group(LogRank p < 0.05) (C) and (D) After PSM, the beyond-Milan group still had no differences between SLT and PLT.