| Literature DB >> 25804634 |
Xiao Xu1, Di Lu2, Qi Ling2, Xuyong Wei2, Jian Wu2, Lin Zhou2, Sheng Yan2, Liming Wu2, Lei Geng2, Qinghong Ke2, Feng Gao2, Zhenhua Tu2, Weilin Wang2, Min Zhang2, Yan Shen2, Haiyang Xie2, Wenshi Jiang3, Haibo Wang3, Shusen Zheng1.
Abstract
OBJECTIVE: Liver transplantation is an optimal radical therapy for selected patients with hepatocellular carcinoma. The stringent organ allocation system driven by the Milan criteria has been challenged by alternative sets of expanded criteria. Careful analysis is needed to prove that the Milan criteria can be expanded safely and effectively.Entities:
Keywords: HEPATOCELLULAR CARCINOMA; LIVER TRANSPLANTATION
Mesh:
Year: 2015 PMID: 25804634 PMCID: PMC4893115 DOI: 10.1136/gutjnl-2014-308513
Source DB: PubMed Journal: Gut ISSN: 0017-5749 Impact factor: 23.059
Figure 1Flow chart of patient selection procedures. HCC, hepatocellular carcinoma; LT, liver transplant.
Figure 2Survival curves for different criteria (N=6012). The overall and tumour-free survival curves for (A) the Valencia criteria, (B) University of California, San Francisco (UCSF) criteria, (C) University Clinic of Navarra (CUN) criteria and (D) Hangzhou criteria.
Figure 3The comparison of different criteria. (A) Increase in the number of eligible hepatocellular carcinoma transplant candidates compared with the Milan criteria (N=6012); (B) The time-dependent net reclassification improvement (NRI) curves for different criteria in reference to post-transplant recurrence. Patients censored before the endpoints for analysis were excluded. (C) The time-dependent area under the receiver operating characteristic curve (AUROC) value for different criteria according to death or tumour recurrence. Patients censored before the endpoints for analysis were excluded. CUN, University Clinic of Navarra criteria; UCSF, University of California, San Francisco criteria.
Performance of different criteria in the multivariate Cox regression model
| LRT χ2 (p value) | Loss in χ2 | AIC | Changes in AIC | |
|---|---|---|---|---|
| Full model | 765.4 (<0.001) | – | 33 413.2 | – |
| Removing Milan | 759.9 (<0.001) | −5.5 | 33 416.6 | 3.4 |
| Removing Valencia | 765.4 (<0.001) | 5.5 | 33 411.2 | −5.4 |
| Removing UCSF | 764.7 (<0.001) | −0.7 | 33 411.8 | 0.6 |
| Removing CUN | 761.3 (<0.001) | −3.4 | 33 415.3 | 3.5 |
| Removing Hangzhou | 303.6 (<0.001) | −154.7 | 33 570.0 | 154.7 |
A multivariate Cox model was built comprising all five sets of criteria as covariates. By reducing a certain set of criteria individually from the whole model, its independent contribution was evaluated in regards to the changes in LRT χ2 and AIC value.
AIC, Akaike information criterion; CUN, University Clinic of Navarra; LRT, likelihood ratio test; UCSF, University of California, San Francisco.
Risk factors for tumour recurrence in patients exceeding the Milan criteria by multivariate Cox regression (N=3386)
| Variables | Group | N | B | Relative risk | 95% CI | p Value |
|---|---|---|---|---|---|---|
| Age (years) | >50 | 1704 | −0.25 | 0.78 | 0.65 to 0.93 | 0.004 |
| ≤50* | 1682 | |||||
| Cirrhosis | Negative | 509 | 0.10 | 1.11 | 0.92 to 1.35 | 0.30 |
| Positive* | 2877 | |||||
| Year of transplant | <2005 | 447 | 0.36 | 1.47 | 1.08 to 2.04 | 0.07 |
| 2005–2010 | 2214 | 0.19 | 1.21 | 0.97 to 1.87 | ||
| >2010* | 725 | |||||
| Hangzhou criteria | Fulfilling | 1352 | −0.67 | 0.51 | 0.43 to 0.60 | <0.001 |
| Exceeding* | 2034 |
*Reference group.
HBsAg, hepatitis B surface antigen.
Figure 4Tumour-free survival curves for patients exceeding the Milan criteria. In patients exceeding the Milan criteria, those fulfilling the Hangzhou criteria had significantly improved tumour-free survival compared with those exceeding it (p<0.001).
Risk factors for tumour recurrence in patients exceeding the Milan criteria but fulfilling the Hangzhou criteria by multivariate Cox regression (N=1352)
| Variables | Group | N | B | Relative risk | 95% CI | p Value |
|---|---|---|---|---|---|---|
| Tumour burden (cm) | 5–8 | 977 | −0.62 | 0.54 | 0.38 to 0.76 | <0.001 |
| >8* | 375 | |||||
| AFP (ng/mL) | ≤100 | 781 | −1.11 | 0.33 | 0.23 to 0.48 | <0.001 |
| 100–400 | 280 | −0.61 | 0.54 | 0.36 to 0.82 | ||
| >400* | 291 | |||||
| Year of transplant | <2005 | 181 | 0.68 | 1.99 | 0.83 to 4.77 | 0.11 |
| 2005–2010 | 849 | 0.66 | 1.91 | 1.09 to 3.51 | ||
| >2010 | 322 |
*Reference group.
AFP, α-fetoprotein.
Figure 5Survival analysis of the subgroup study based on the Hangzhou criteria. (A) Tumour-free survival curves of different subsets of patients exceeding the Milan but fulfilling Hangzhou criteria. Subset I: tumour burden ≤8 cm or α-fetoprotein (AFP) ≤100 ng/mL; subset II: tumour burden >8 cm but AFP between 100 and 400 ng/mL. Subset I had significantly better prognosis than Subset II (p<0.001). (B) The tumour-free survival curves for the stratified Hangzhou criteria. The Hangzhou criteria were stratified into (1) type A: tumour burden ≤8 cm or AFP ≤100 ng/mL; (2) type B: tumour burden >8 cm but AFP between 100 and 400 ng/mL. Type A had significantly better prognosis than type B (p<0.001). Both types A and B had significantly improved prognosis compared with those patients exceeding the Hangzhou criteria (p<0.001).