Patterns and Predictors of Mortality After Waitlist Dropout of Patients With Hepatocellular Carcinoma Awaiting Liver Transplantation

Global Prevalence, Clinical Characteristics, Surveillance, Treatment Allocation, and Outcomes of Alcohol-Associated Hepatocellular Carcinoma

BACKGROUND

Although the burden of alcohol-associated hepatocellular carcinoma (HCC) is increasing with rising alcohol consumption, clinical presentation and outcomes of alcohol-associated HCC have not been systematically assessed. We aimed to determine the prevalence, clinical characteristics, surveillance rates, treatment allocation, and outcomes of alcohol-associated HCC.

METHODS

Medline and Embase were searched from inception to January 2023. Proportional data were analyzed using a generalized linear mixed model. The odds ratio (OR) or mean difference comparing alcohol-associated HCC and other causes was obtained with pairwise meta-analysis. Survival outcomes were evaluated using a pooled analysis of hazard ratios.

RESULTS

Of 4824 records identified, 55 articles (86,345 patients) were included. Overall, 30.4% (95% confidence interval [CI], 24.0%-37.7%) of HCC was alcohol associated, with the highest proportion in Europe and the lowest in the Americas. People with alcohol-associated HCC were more likely male but were similar in age and comorbidities compared with other causes. A total of 20.8% (95% CI, 11.4%-34.9%) of people with alcohol-associated HCC underwent surveillance compared with 35.0%, 31.6%, and 21.4% in hepatitis B virus, hepatitis C virus, and metabolic dysfunction-associated HCC, respectively (all P < .05). Alcohol-associated HCC had a lower likelihood of Barcelona Clínic Liver Cancer C stage (0/A) (OR, 0.7; 95% CI, 0.6-0.9; P = .018) and curative therapy (24.5% vs 33.9%; OR, 0.7; 95% CI, 0.5-0.9; P = .003), and higher mortality (HR, 1.3; 95% CI, 1.1-1.5; P = .012) when compared with other causes.

CONCLUSIONS

Alcohol-associated HCC is associated with lower surveillance rates, more advanced BCLC stage, lower likelihood of receiving curative therapy, and poorer survival. These data call for measures to reduce heavy alcohol consumption and improve strategies for effective HCC surveillance in high-risk individuals.

Liver Transplantation for Hepatocellular Carcinoma: A Narrative Review and A Glimpse into The Future

Liver transplantation (LT) is a highly effective treatment for carefully selected patients with hepatocellular carcinoma (HCC). In this review, we explored the development of LT selection criteria and organ allocation policies, comparing original data to underscore their historical progression into the intricate task of quantitatively estimating pre- and post-LT survivals. We emphasized the role of biomarkers such as serum alpha-fetoprotein, Des-gamma-carboxy-prothrombin, circulating tumor cells, and circulating tumor DNA in predicting patient outcomes. Additionally, we examined the transplant-associated survival benefits and the difficulties in accurately calculating these benefits. We also reviewed recent advancements in targeted therapy and checkpoint inhibitors for advanced, inoperable HCC and projected their integration into LT for HCC. We further discussed the growing use of living donor liver transplants in the United States and compared its outcomes with those of deceased donor liver transplants. Furthermore, we examined the progress in machine perfusion techniques, which have shown potential in improving patient outcomes and enlarging the donor pool. These advancements present opportunities to enhance LT patient survivals, refine selection criteria, establish new priority metrics, develop innovative bridging and downstaging strategies, and formulate redesigned LT strategies for HCC treatments.

Living Donor Liver Transplantation for Hepatocellular Carcinoma Within and Outside Traditional Selection Criteria: A Multicentric North American Experience

OBJECTIVE

To evaluate long-term oncologic outcomes of patients post-living donor liver transplantation (LDLT) within and outside standard transplantation selection criteria and the added value of the incorporation of the New York-California (NYCA) score.

BACKGROUND

LDLT offers an opportunity to decrease the liver transplantation waitlist, reduce waitlist mortality, and expand selection criteria for patients with hepatocellular carcinoma (HCC).

METHODS

Primary adult LDLT recipients between October 1999 and August 2019 were identified from a multicenter cohort of 12 North American centers. Posttransplantation and recurrence-free survival were evaluated using the Kaplan-Meier method.

RESULTS

Three hundred sixty LDLTs were identified. Patients within Milan criteria (MC) at transplantation had a 1, 5, and 10-year posttransplantation survival of 90.9%, 78.5%, and 64.1% versus outside MC 90.4%, 68.6%, and 57.7% ( P = 0.20), respectively. For patients within the University of California San Francisco (UCSF) criteria, respective posttransplantation survival was 90.6%, 77.8%, and 65.0%, versus outside UCSF 92.1%, 63.8%, and 45.8% ( P = 0.08). Fifty-three (83%) patients classified as outside MC at transplantation would have been classified as either low or acceptable risk with the NYCA score. These patients had a 5-year overall survival of 72.2%. Similarly, 28(80%) patients classified as outside UCSF at transplantation would have been classified as a low or acceptable risk with a 5-year overall survival of 65.3%.

CONCLUSIONS

Long-term survival is excellent for patients with HCC undergoing LDLT within and outside selection criteria, exceeding the minimum recommended 5-year rate of 60% proposed by consensus guidelines. The NYCA categorization offers insight into identifying a substantial proportion of patients with HCC outside the MC and the UCSF criteria who still achieve similar post-LDLT outcomes as patients within the criteria.

Interval dynamics of transplantability for hepatocellular carcinoma after primary curative resection: risk factors for nontransplantable recurrence

BACKGROUND

To investigate the changes in transplantability between primary and recurrent Hepatocellular carcinoma (HCC) after hepatic resection (HR) and the risk factors for nontransplantable recurrence (NTR).

METHODS

Consecutive 3122 patients who received HR for primary HCC between 2001 and 2019 were analyzed for changes in transplantability. Predictors of survival and NTR were evaluated using a competing risk analysis.

RESULTS

After a median follow-up of 78.3 months, the 5-year overall survival rate was 82.6%. Also, 58.2% of them developed recurrence after a median of 45.6 months. Recurrence occurred in 1205 and 611 patients with primary transplantable and nontransplantable HCC, respectively, of whom 26.1% and 63.2%, respectively, had NTR. Tumor diameter >3 cm [subdistribution hazard ratios (95% CI), 2.00 (1.62-2.48)], major resection [1.20 (1.00-1.43)], pathological grade >2 [1.28 (1.07-1.52)], microvascular invasion [1.74 (1.45-2.08)], and early recurrence (<1 year) [9.22 (7.83-10.87)] were associated with NTR. The overall transplantable pool increased from 72.3% to 77.5%.

CONCLUSION

Microvascular invasion and early recurrence were risk factors for NTR. Nonetheless, the transplantable pool increased after HR, 41.8% of the patients had no recurrence and may not require liver transplantation. If the patient's liver function is acceptable, HR should be considered the treatment of choice for HCC.

MELD-GRAIL and MELD-GRAIL-Na Are Not Superior to MELD or MELD-Na in Predicting Liver Transplant Waiting List Mortality at a Single-center Level

Controversy exists regarding the best predictive model of liver transplant waiting list (WL) mortality. Models for end-stage liver disease–glomerular filtration rate assessment in liver disease (MELD-GRAIL) and MELD-GRAIL-Na were recently described to provide better prognostication, particularly in females. We evaluated the performance of these scores compared to MELD and MELD-Na.

A Pre-TACE Radiomics Model to Predict HCC Progression and Recurrence in Liver Transplantation. A Pilot Study on a Novel Biomarker

BACKGROUND

Despite Trans-Arterial Chemo Embolization (TACE) for hepatocellular carcinoma (HCC), a significant number of patients will develop progression on the liver transplant (LT) waiting list or disease recurrence post-LT. We sought to evaluate the feasibility of a pre-TACE radiomic model, an imaging-based tool to predict these adverse outcomes.

METHODS

We analyzed the pre-TACE computed tomography images of patients waiting for a LT. The primary endpoint was a combined event that included waitlist dropout for tumor progression or tumor recurrence post-LT. The radiomic features were extracted from the largest HCC volume from the arterial and portal venous phase. A third set of features was created, combining the features from these 2 contrast phases. We applied a LASSO feature selection method and a support vector machine classifier. Three prognostic models were built using each feature set. The models' performance was compared using 5-fold cross-validated Area Under the Receiver Operating Characteristic curves (AUC).

RESULTS

88 patients were included, of whom 33 experienced the combined event (37.5%). The median time to dropout was 5.6 months (IQR:3.6-9.3), and the median time for post-LT recurrence was 19.2 months (IQR:6.1-34.0). Twenty-four patients (27.3%) dropped out, and 64 (72.7%) patients were transplanted. Of these, 14 (21.9%) had recurrence post-LT. Model performance yielded a mean AUC of 0.70(±0.07), 0.87(±0.06) and 0.81(±0.06) for the arterial, venous and the combined models, respectively.

CONCLUSION

A pre-TACE radiomics model for HCC patients undergoing LT may be a useful tool for outcome prediction. Further external model validation with a larger sample size is required.

Recurrence beyond the Milan criteria after curative-intent resection of hepatocellular carcinoma: A novel tumor-burden based prediction model

BACKGROUND

Accurate prediction of recurrence patterns of hepatocellular carcinoma (HCC) may allow for prioritization of patients for resection or transplantation as well as guide post-resection surveillance strategies.

METHODS

Patients who underwent curative-intent R0 resection for HCC between 2000 and 2017 were identified using a multi-institutional database. A prognostic model that incorporated HCC tumor burden score (TBS) to predict recurrence beyond the Milan criteria (MC) was developed and validated.

RESULTS

Among 718 patients who underwent R0 resection for HCC, 185 (25.8%) recurred within and 110 (15.3%) beyond the MC. On multivariable analysis, AFP more than 400 ng/mL (hazard ratio [HR] = 2.26; 95% confidence interval [CI]: 1.27-4.02), lymphovascular invasion (HR = 2.00; 95% CI: 1.14-3.50), and TBS (HR = 1.08; 95% CI: 1.03-1.12) were associated with recurrence beyond the MC. A weighted TBS-based score was constructed: [0.074*TBS + 0.692*lymphovascular invasion (yes: 1, no: 0) + 0.816*AFP > 400 (yes:1, no:0)]. Patients with a low, medium, and high TBS-based risk score had a 5-year incidence of recurring beyond the MC of 16.2%, 28.6%, and 47.2%, respectively (P < .001). The predictive accuracy of the model was very good in the training (C-index: 0.761) and validation (C-index: 0.706) datasets and outperformed the previously reported clinical risk score (CRS; C-index: 0.680).

CONCLUSION

A TBS-based model accurately predicted recurrence beyond MC after curative-intent resection of HCC and outperformed the CRS. Incorporating TBS allows for better risk stratification and identifies patients in need of closer surveillance.