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Advantage of early liver transplantation whenever indicated for hepatocellular carcinoma recurrence after primary liver resection.

ABSTRACT: BACKGROUND:Liver transplantation (LT) for recurrent hepatocellular carcinoma (HCC) following liver resection (LR) has been considered a promising strategy for improving patient's outcome. The study aimed to analyse patients from primary LR to LT for HCC and to provide additional information for decision-making in therapeutic strategies for patients with HCC. METHODS:Among 776 LTs, a retrospective analysis of patients who had undergone LT for recurrent HCC after primary LR between May 2005 and 2017 February was performed. RESULTS:During the follow-up period, the overall recurrence-free survival rates at 1, 3 and 5 years were 84.8%, 68.2% and 68.2%, and disease-specific overall-survival rates were 95.7%, 74.4% and 66.7% at 1, 3 and 5 years after LT, respectively. Beyond University of California at San Francisco (UCSF) transplantation criteria (p = 0.018, hazard ratio (HR) = 12.70), maximum tumor size ? 5 cm at LR (p = 0.012, HR = 7.90) and period between post-LR HCC recurrence and LT ? 1 year (p = 0.030, HR = 7.57) were prognostic factors of HCC recurrence after LT. Moreover, HCC recurrence after LT was the solely independent risk factor affecting overall survival of patients. CONCLUSION:Large tumor size at LR should be taken into cautious tending to HCC recurrence even after salvage LT. Importantly, LT should be considered as soon as possible preferably within 1 year whenever post-LR recurrent HCC meets transplantation criteria.

SUBMITTER: Chan KM

PROVIDER: S-EPMC6888715 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Advantage of early liver transplantation whenever indicated for hepatocellular carcinoma recurrence after primary liver resection.

Chan Kun-Ming KM Wu Tsung-Han TH Cheng Chih-Hsien CH Lee Chen-Fang CF Wu Ting-Jung TJ Chou Hong-Shiue HS Lee Wei-Chen WC

Biomedical journal 20191029 5

<h4>Background</h4>Liver transplantation (LT) for recurrent hepatocellular carcinoma (HCC) following liver resection (LR) has been considered a promising strategy for improving patient's outcome. The study aimed to analyse patients from primary LR to LT for HCC and to provide additional information for decision-making in therapeutic strategies for patients with HCC.<h4>Methods</h4>Among 776 LTs, a retrospective analysis of patients who had undergone LT for recurrent HCC after primary LR between ...[more]

PMID: 31783994

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Project description:BackgroundThere is a growing need for new improved classifiers of prognosis in hepatocellular carcinoma (HCC) patients to stratify them effectively.MethodsA deep learning model was developed on a total of 1118 patients from 4 independent cohorts. A nucleus map set (n = 120) was used to train U-net to capture the nuclear architecture. The training set (n = 552) included HCC patients that had been treated by resection. The liver transplantation (LT) set (n = 144) contained patients with HCC that had been treated by LT. The train set and its nuclear architectural information extracted by U-net were used to train the MobileNet V2-based classifier (MobileNetV2_HCC_class). The classifier was then independently tested on the LT set and externally validated on the TCGA set (n = 302). The primary outcome was recurrence free survival (RFS).ResultsThe MobileNetV2_HCC_class was a strong predictor of RFS in both LT set and TCGA set. The classifier provided a hazard ratio of 3.44 (95% CI 2.01-5.87, p < 0.001) for high risk versus low risk in the LT set, and 2.55 (95% CI 1.64-3.99, p < 0.001) when known prognostic factors, remarkable in univariable analyses on the same cohort, were adjusted. The MobileNetV2_HCC_class maintained a relatively higher discriminatory power [time-dependent accuracy and area under curve (AUC)] than other factors after LT or resection in the independent validation set (LT and TCGA set). Net reclassification improvement (NRI) analysis indicated MobileNetV2_HCC_class exhibited better net benefits for the Stage_AJCC beyond other independent factors. A pathological review demonstrated that tumoral areas with the highest recurrence predictability featured the following features: the presence of stroma, a high degree of cytological atypia, nuclear hyperchromasia, and a lack of immune cell infiltration.ConclusionA prognostic classifier for clinical purposes had been proposed based on the use of deep learning on histological slides from HCC patients. This classifier assists in refining the prognostic prediction of HCC patients and identifies patients who have been benefited from more intensive management.

Project description:ImportanceThe remnant liver after hepatectomy may have inadequate blood supply, especially following nonanatomical resection or vascular damage.ObjectiveTo evaluate whether remnant liver ischemia (RLI) may have an adverse effect on long-term survival and morbidity after liver resection in patients with hepatocellular carcinoma.Design, setting, and participantsThis study was a retrospective analysis at Seoul National University Bundang Hospital. Remnant liver ischemia was graded on postoperative computed tomographic scans in 328 patients who underwent hepatectomy for hepatocellular carcinoma between January 1, 2004, and December 31, 2013.Main outcomes and measuresRemnant liver ischemia was defined as reduced or absent contrast enhancement during the venous phase. Remnant liver ischemia was classified as minimal (none or marginal) or severe (partial, segmental, or necrotic).ResultsAmong 328 patients (252 male and 76 female; age range, 26-83 years [mean age, 58.2 years]), radiologic signs of severe RLI were found in 98 patients (29.9%), of whom 63, 16, and 19 had partial, segmental, or necrotic RLI, respectively. These patients experienced more complications and longer hospital stay than patients with minimal RLI. Preoperative history of transarterial embolization (odds ratio [OR], 1.77; 95% CI, 1.02-3.03; P = .04), use of the Pringle maneuver (OR, 1.96; 95% CI, 1.08-3.58; P = .03), and longer operative time (OR, 1.003; 95% CI, 1.002-1.005; P < .001) were independent risk factors for severe RLI. Early recurrence rates within 6 (60.2% vs 9.6%) or 12 (79.6% vs 18.7%) months after hepatectomy were higher in patients with severe RLI than in patients without RLI (P < .001). Severe remnant liver ischemia was an independent risk factor for overall survival (OR, 6.98; 95% CI, 4.27-11.43; P < .001) and disease-free survival (OR, 5.15; 95% CI, 3.62-7.35; P < .001).Conclusions and relevancePreventive management and technical refinements in hepatectomy are important to decrease the risk of RLI and to improve survival of patients with hepatocellular carcinoma.

Project description:BackgroundAn individual prognostic model that includes inflammation caused by the delayed recovery of liver function after surgery for the early recurrence of hepatocellular carcinoma (HCC) following liver transplantation (LT) has not been well determined. Our aim was to develop a nomogram model for predicting individual survival and early recurrence following LT for patients.MethodsRetrospective data, including clinical pathology and follow-up data, on HCC patients were collected between October 2016 and October 2019 at Huashan Hospital Affiliated to Fudan University. A nomogram estimating recurrence post-transplantation was constructed using multivariate Cox regression analysis.ResultsA total of 210 patients were included in the present study. The multivariate estimators of recurrence consisted of age, maximum tumor diameter, tumor thrombus, microvascular invasion (MVI), alanine aminotransferase and alpha-fetoprotein on postoperative day 7. Nomogram of recurrence-free survival was developed. The calibration and discrimination of the novel model were assessed with the calibration curves and concordance index (C-index). Its reliability and advantages were evaluated by comparing it with the conventional American Joint Committee on Cancer (AJCC) 8th edition staging system using integrated discrimination improvement (IDI) and net reclassification improvement (NRI). In comparison to the AJCC 8th edition staging system, the C-index (development set: 0.796 vs. 0.643, validation set: 0.741 vs. 0.563), the area under the receiver operating characteristic curve (AUC) of the validation set (1-year AUC: 0.732 vs. 0.586, 2-year AUC: 0.705 vs. 0.504), the development set (1-year AUC: 0.799 vs. 0.551, 2-year AUC: 0.801 vs. 0.512), and this model's calibration plots all showed improved performance. In addition, NRI and IDI verified that the nomogram is an accurate prognostic tool. Subsequently, a web calculator was generated to assess the risk of tumor recurrence post-LT.ConclusionsThe nomogram, based on clinical and pathological factors, showed good accuracy in estimating prognostic recurrence and can be used to guide individual patient follow-up and treatment.

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Advantage of early liver transplantation whenever indicated for hepatocellular carcinoma recurrence after primary liver resection.

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Advantage of early liver transplantation whenever indicated for hepatocellular carcinoma recurrence after primary liver resection.

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