Prolonged hypernutrition impairs TREM2-dependent efferocytosis to license chronic liver inflammation and NASH development.

Obesity-induced chronic liver inflammation is a hallmark of nonalcoholic steatohepatitis (NASH)-an aggressive form of nonalcoholic fatty liver disease. However, it remains unclear how such a low-grade, yet persistent, inflammation is sustained in the liver. Here, we show that the macrophage phagocytic receptor TREM2, induced by hepatocyte-derived sphingosine-1-phosphate, was required for efferocytosis of lipid-laden apoptotic hepatocytes and thereby maintained liver immune homeostasis. However, prolonged hypernutrition led to the production of proinflammatory cytokines TNF and IL-1ß in the liver to induce TREM2 shedding through ADAM17-dependent proteolytic cleavage. Loss of TREM2 resulted in aberrant accumulation of dying hepatocytes, thereby further augmenting proinflammatory cytokine production. This ultimately precipitated a vicious cycle that licensed chronic inflammation to drive simple steatosis transition to NASH. Therefore, impaired macrophage efferocytosis is a previously unrecognized key pathogenic event that enables chronic liver inflammation in obesity. Blocking TREM2 cleavage to restore efferocytosis may represent an effective strategy to treat NASH.

Ectopic lymphoid structures function as microniches for tumor progenitor cells in hepatocellular carcinoma.

Ectopic lymphoid-like structures (ELSs) are often observed in cancer, yet their function is obscure. Although ELSs signify good prognosis in certain malignancies, we found that hepatic ELSs indicated poor prognosis for hepatocellular carcinoma (HCC). We studied an HCC mouse model that displayed abundant ELSs and found that they constituted immunopathological microniches wherein malignant hepatocyte progenitor cells appeared and thrived in a complex cellular and cytokine milieu until gaining self-sufficiency. The egress of progenitor cells and tumor formation were associated with the autocrine production of cytokines previously provided by the niche. ELSs developed via cooperation between the innate immune system and adaptive immune system, an event facilitated by activation of the transcription factor NF-κB and abolished by depletion of T cells. Such aberrant immunological foci might represent new targets for cancer therapy.

A Phase 3 Biomarker Validation of GALAD for the Detection of Hepatocellular Carcinoma in Cirrhosis.

BACKGROUND & AIMS: Better surveillance tests for hepatocellular carcinoma (HCC) are needed. The GALAD score (gender, age, α-fetoprotein [AFP] L3, AFP, and des carboxyprothrombin) has been shown to have excellent sensitivity and specificity for HCC in phase 2 studies. We performed a phase 3 biomarker validation study to compare GALAD with AFP in detecting HCC. METHODS: This is a prospective study of patients with cirrhosis enrolled at 7 centers. Surveillance for HCC was performed every 6 months at each site, and HCC diagnosis was confirmed per American Association for the Study of Liver Diseases guidelines. Blood for biomarker research was obtained at each follow-up visit and stored in a biorepository. Measurements of AFP, AFP-L3, and des-γ carboxyprothrombin) were performed in a FujiFilm laboratory by staff blinded to clinical data. The performance of GALAD in detecting HCC was retrospectively evaluated within 12 months before the clinical diagnosis. All analyses were conducted by an unblinded statistician in the EDRN data management and coordinating center. RESULTS: A total of 1,558 patients with cirrhosis were enrolled and followed for a median of 2.2 years. A total of 109 patients developed HCC (76 very early or early stage), with an annual incident rate of 2.4%. The areas under the curve for AFP and GALAD within 12 months before HCC were 0.66 and 0.78 (P < .001), respectively. Using a cutoff for GALAD of -1.36, the specificity was 82%, and the sensitivity at 12 months before HCC diagnosis was 62%. For comparison, performance of AFP at 82% specificity showed 41% sensitivity at 12 months before HCC diagnosis (P = .001). CONCLUSIONS: GALAD score, compared to AFP, improves the detection of HCC within 12 months before the actual diagnosis.

The Spatial Extracellular Proteomic Tumor Microenvironment Distinguishes Molecular Subtypes of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) mortality rates continue to increase faster than those of other cancer types due to high heterogeneity, which limits diagnosis and treatment. Pathological and molecular subtyping have identified that HCC tumors with poor outcomes are characterized by intratumoral collagenous accumulation. However, the translational and post-translational regulation of tumor collagen, which is critical to the outcome, remains largely unknown. Here, we investigate the spatial extracellular proteome to understand the differences associated with HCC tumors defined by Hoshida transcriptomic subtypes of poor outcome (Subtype 1; S1; n = 12) and better outcome (Subtype 3; S3; n = 24) that show differential stroma-regulated pathways. Collagen-targeted mass spectrometry imaging (MSI) with the same-tissue reference libraries, built from untargeted and targeted LC-MS/MS was used to spatially define the extracellular microenvironment from clinically-characterized, formalin-fixed, paraffin-embedded tissue sections. Collagen α-1(I) chain domains for discoidin-domain receptor and integrin binding showed distinctive spatial distribution within the tumor microenvironment. Hydroxylated proline (HYP)-containing peptides from the triple helical regions of fibrillar collagens distinguished S1 from S3 tumors. Exploratory machine learning on multiple peptides extracted from the tumor regions could distinguish S1 and S3 tumors (with an area under the receiver operating curve of ≥0.98; 95% confidence intervals between 0.976 and 1.00; and accuracies above 94%). An overall finding was that the extracellular microenvironment has a high potential to predict clinically relevant outcomes in HCC.

Immunotherapy and transplantation for hepatocellular carcinoma.

Immune checkpoint inhibitors (ICIs) have emerged as the primary treatment for advanced hepatocellular carcinoma (HCC) and have shown promise in the neoadjuvant setting prior to resection. Liver transplantation (LT) is the preferred treatment for unresectable early HCC or locally advanced disease post locoregional therapy, but the need for immunosuppression after LT conflicts with ICIs' immune augmenting effects. Neoadjuvant ICI may benefit select LT candidates, but challenges arise in understanding response indicators and managing post-LT risks. Reports of severe rejection after LT have raised concerns, though liver-specific factors may mitigate rejection risks, prompting exploration of pre-LT ICI usage. While focus has been on PD-1/PD-L1 inhibitors, the optimal pre-LT ICI regimen remains uncertain, and trials must emphasize careful patient selection and management. Living donor LT is advantageous because ICIs can be withheld for a predefined washout period. In the post-LT setting, use of ICIs is generally avoided, though a few reports suggest that PD-L1 expression in the transplanted liver may be a safety biomarker and that, despite the risk, ICI therapy may be better than supportive care for patients with otherwise-untreatable HCC recurrence. This expert opinion highlights the complexities in the management of HCC vis-à-vis LT. Prospective studies and biomarkers are needed to define safe and effective pre- and post-LT immunotherapy protocols.

Intention-to-treat outcomes of patients with hepatocellular carcinoma receiving immunotherapy before liver transplant: the multicenter VITALITY study.

BACKGROUND AND AIMS: The use of immune checkpoint inhibitors (ICI) in patients with advanced hepatocellular carcinoma (HCC) has become widespread with encouraging outcomes in the neoadjuvant setting. Safety and intention to treat (ITT) outcomes in the peri transplant setting are currently based on small and heterogenous single center reports. METHODS: This first multiregional US study (2016-2023) included 117 consecutive HCC patients assessed for LT and treated preoperatively with ICIs. Intention to treat ITT and survival analyses were conducted with evaluation of post LT rejection rates. RESULTS: In total, 86 (73.5%) patients exceeded MC and 65 (75.6%) were successfully downstaged (DS) within a median of 5.6 months. 43 (36.7%) underwent transplantation, including 18 (15.4%) within MC and 23 (19.7%) initially beyond and DS. Overall, 94% of the cohort received concurrent ICIs and locoregional therapies. No grade 4-5 adverse events occurred on the waiting list. The 3-year cumulative probability of dropout was 28% for those within MC and 48% for those beyond. Independent predictors of dropout included: being beyond MC (p<0.001), AFP doubling from baseline (p=0.014) and radiographic responses (p<0.001). The 3-year ITT survival was 71.1% (73.5% within MC vs 69.7% beyond MC, p=0.329), with 3-year post LT survival rate of 85%. Post-LT rejection occurred in 7 patients, six received their last dose of ICI less than 3 months prior to LT, resulting in one graft loss. CONCLUSIONS: The first multicenter evaluation of HCC patients receiving ICI pre-LT demonstrates favorable survival and safety outcomes, justifying continued utilization and further evaluation of this strategy in clinical practice. High tumor burden, doubling of AFP levels, and radiographic response were identified as predictors of unfavorable oncologic outcomes. IMPACT AND IMPLICATIONS: The first multicenter evaluation of pre-transplant immune-checkpoint-inhibitors in hepatocellular carcinoma to show promising intention-to-treat survival, safety and rejection rates. Immune-checkpoint-inhibitors, either alone or combined with LRT, demonstrate reliable efficacy. This preoperative strategy could be particularly beneficial for high-risk patients, including those requiring downstaging or with elevated AFP levels despite locoregional treatment. These findings fill current knowledge gaps and offer reassuring evidence for the feasibility of pre-transplant use of immune-checkpoint-inhibitors, pending results from ongoing trials.

Incidence and Risk Factors for Hepatocellular Carcinoma in Cirrhosis: The Multicenter Hepatocellular Carcinoma Early Detection Strategy (HEDS) Study.

BACKGROUND & AIMS: Worldwide, hepatocellular carcinoma (HCC) is a common malignancy. We aimed to prospectively determine the incidence and risk factors of HCC in a U.S. METHODS: The multicenter Hepatocellular Carcinoma Early Detection Strategy study of the National Institutes of Health prospectively enrolled patients with cirrhosis who underwent standard surveillance for HCC. Demographics, medical and family history, etiology of liver disease, and clinical features were evaluated for associations with HCC. RESULTS: Between April 10, 2013 and December 31, 2021, 1723 patients were enrolled and confirmed eligible. During median follow-up of 2.2 years (range, 0-8.7 years), there were 109 incident cases of HCC for an incidence rate of 2.4 per 100 person-years: 88 (81%) patients with very early/early Barcelona Clinic Liver Cancer stage (0, A), 20 (18%) intermediate stage (B), and 1 (1%) unknown stage. Risk factor analyses were restricted to 1325 patients, including 95 incident HCC, with at least 6 months of follow-up. The majority were men (53.2%), obese or severely obese (median body mass index, 30.2 kg/m2), and white (86.3%); 42.0% had history of hepatitis C virus infection, 20.7% had alcoholic liver disease, and 24.9% had nonalcoholic fatty liver disease. Fourteen risk factors for HCC were significant (P < .05) in univariate analyses, and a multivariate subset was selected using stepwise logistic regression. The multivariate subset contained gender (P < .001; male; odds ratio [OR], 2.47; 95% confidence interval [CI], 1.54-4.07), years with cirrhosis (P = .004; OR, 1.06; 95% CI, 1.02-1.1), family history of liver cancer (P = .02; yes; OR, 2.69; 95% CI, 1.11-5.86), age (per 5 years; P = .02; OR, 1.17; 95% CI, 1.03-1.33), obesity (P = .02; yes; OR, 1.7; 95% CI, 1.08-2.73), aspartate aminotransferase (log(1+AST); P = .06; OR, 1.54; 95% CI, 0.97-2.42), alpha-fetoprotein (log(1+AFP); P = .07; OR, 1.32; 95% CI, 0.97-1.77), and albumin (P = .10; OR, 0.7; 95% CI, 0.46-1.07). CONCLUSIONS: Thus far, this is the largest prospective and geographically diverse study of a U.S. cohort of patients with cirrhosis that validates known risk factors for HCC (gender, age, obesity, years with cirrhosis, family history of liver cancer, baseline AFP, albumin, and AST). The incidence of HCC was 2.4% per 100 person-years.

Molecular Markers of Response to Anti-PD1 Therapy in Advanced Hepatocellular Carcinoma.

BACKGROUND & AIMS: Single-agent anti-PD1 checkpoint inhibitors convey outstanding clinical benefits in a small fraction (∼20%) of patients with advanced hepatocellular carcinoma (aHCC) but the molecular mechanisms determining response are unknown. To fill this gap, we herein analyze the molecular and immune traits of aHCC in patients treated with anti-PD1. METHODS: Overall, 111 tumor samples from patients with aHCC were obtained from 13 centers before systemic therapies. We performed molecular analysis and immune deconvolution using whole-genome expression data (n = 83), mutational analysis (n = 72), and histologic evaluation with an endpoint of objective response. RESULTS: Among 83 patients with transcriptomic data, 28 were treated in frontline, whereas 55 patients were treated after tyrosine kinase inhibitors (TKI) either in second or third line. Responders treated in frontline showed upregulated interferon-γ signaling and major histocompatibility complex II-related antigen presentation. We generated an 11-gene signature (IFNAP), capturing these molecular features, which predicts response and survival in patients treated with anti-PD1 in frontline. The signature was validated in a separate cohort of aHCC and >240 patients with other solid cancer types where it also predicted response and survival. Of note, the same signature was unable to predict response in archival tissue of patients treated with frontline TKIs, highlighting the need for fresh biopsies before immunotherapy. CONCLUSION: Interferon signaling and major histocompatibility complex-related genes are key molecular features of HCCs responding to anti-PD1. A novel 11-gene signature predicts response in frontline aHCC, but not in patients pretreated with TKIs. These results must be confirmed in prospective studies and highlights the need for biopsies before immunotherapy to identify biomarkers of response.

Is Repeat Resection for Recurrent Intrahepatic Cholangiocarcinoma Warranted? Outcomes of an International Analysis.

BACKGROUND: Recurrence of intrahepatic cholangiocarcinoma (ICC) after liver resection (LR) remains high, and optimal therapy for recurrent ICC is challenging. Herein, we assess the outcomes of patients undergoing repeat resection for recurrent ICC in a large, international multicenter cohort. PATIENTS AND METHODS: Outcomes of adults from six large hepatobiliary centers in North America, Europe, and Asia with recurrent ICC following primary LR between 2001 and 2015 were analyzed. Cox models determined predictors of post-recurrence survival. RESULTS: Of patients undergoing LR for ICC, 499 developed recurrence. The median time to recurrence was 10 months, and 47% were intrahepatic. Overall 3-year post-recurrence survival rate was 28.6%. In total, 121 patients (25%) underwent repeat resection, including 74 (61%) repeat LRs. Surgically treated patients were more likely to have solitary intrahepatic recurrences and significantly prolonged survival compared with those receiving locoregional or systemic therapy alone with a 3-year post-recurrence survival rate of 47%. Independent predictors of post-recurrence death included time to recurrence < 1 year [HR 1.66 (1.32-2.10), p < 0.001], site of recurrence [HR 1.74 (1.28-2.38), p < 0.001], macrovascular invasion [HR 1.43 (1.05-1.95), p = 0.024], and size of recurrence > 3 cm [HR 1.68 (1.24-2.29), p = 0.001]. Repeat resection was independently associated with decreased post-recurrence death [HR 0.58 0.43-0.78), p < 0.001]. CONCLUSIONS: Repeat resection for recurrent ICC in select patients can result in extended survival. Thus, challenging the paradigm of offering these patients locoregional or chemo/palliative therapy alone as the mainstay of treatment.

Early post-treatment MRI predicts long-term hepatocellular carcinoma response to radiation segmentectomy.

OBJECTIVES: Radiation segmentectomy using yttrium-90 plays an emerging role in the management of early-stage HCC. However, the value of early post-treatment MRI for response assessment is uncertain. We assessed the value of response criteria obtained early after radiation segmentectomy in predicting long-term response in patients with HCC. MATERIALS AND METHODS: Patients with HCC who underwent contrast-enhanced MRI before, early, and 12 months after radiation segmentectomy were included in this retrospective single-center study. Three independent radiologists reviewed images at baseline and 1st follow-up after radiation segmentectomy and assessed lesion-based response according to mRECIST, LI-RADS treatment response algorithm (TRA), and image subtraction. The endpoint was response at 12 months based on consensus readout of two separate radiologists. Diagnostic accuracy for predicting complete response (CR) at 12 months based on the 1st post-treatment MRI was calculated. RESULTS: Eighty patients (M/F 60/20, mean age 67.7 years) with 80 HCCs were assessed (median size baseline, 1.8 cm [IQR, 1.4-2.9 cm]). At 12 months, 74 patients were classified as CR (92.5%), 5 as partial response (6.3%), and 1 as progressive disease (1.2%). Diagnostic accuracy for predicting CR was fair to good for all readers with excellent positive predictive value (PPV): mRECIST (range between 3 readers, accuracy: 0.763-0.825, PPV: 0.966-1), LI-RADS TRA (accuracy: 0.700-0.825, PPV: 0.983-1), and subtraction (accuracy: 0.775-0.825, PPV: 0.967-1), with no difference in accuracy between criteria (p range 0.053 to > 0.9). CONCLUSION: mRECIST, LI-RADS TRA, and subtraction obtained on early post-treatment MRI show similar performance for predicting long-term response in patients with HCC treated with radiation segmentectomy. CLINICAL RELEVANCE STATEMENT: Response assessment extracted from early post-treatment MRI after radiation segmentectomy predicts complete response in patients with HCC with high PPV (≥ 0.96). KEY POINTS: • Early post-treatment response assessment on MRI predicts response in patients with HCC treated with radiation segmentectomy with fair to good accuracy and excellent positive predictive value. • There was no difference in diagnostic accuracy between mRECIST, LI-RADS, and subtraction for predicting HCC response to radiation segmentectomy.

Transcriptomic characterization of cancer-testis antigens identifies MAGEA3 as a driver of tumor progression in hepatocellular carcinoma.

Cancer testis antigens (CTAs) are an extensive gene family with a unique expression pattern restricted to germ cells, but aberrantly reactivated in cancer tissues. Studies indicate that the expression (or re-expression) of CTAs within the MAGE-A family is common in hepatocellular carcinoma (HCC). However, no systematic characterization has yet been reported. The aim of this study is to perform a comprehensive profile of CTA de-regulation in HCC and experimentally evaluate the role of MAGEA3 as a driver of HCC progression. The transcriptomic analysis of 44 multi-regionally sampled HCCs from 12 patients identified high intra-tumor heterogeneity of CTAs. In addition, a subset of CTAs was significantly overexpressed in histologically poorly differentiated regions. Further analysis of CTAs in larger patient cohorts revealed high CTA expression related to worse overall survival and several other markers of poor prognosis. Functional analysis of MAGEA3 was performed in human HCC cell lines by gene silencing and in a genetic mouse model by overexpression of MAGEA3 in the liver. Knockdown of MAGEA3 decreased cell proliferation, colony formation and increased apoptosis. MAGEA3 overexpression was associated with more aggressive tumors in vivo. In conclusion MAGEA3 enhances tumor progression and should be considered as a novel therapeutic target in HCC.

Improved outcomes of liver resection for hepatitis C-related hepatocellular carcinoma after the introduction of direct-acting antiviral therapy.

BACKGROUND: Assess impact of direct-acting antivirals introduction on outcomes after liver resection for hepatocellular carcinoma. METHODS: 391 patients (1991-2021) treated with resection for hepatocellular carcinoma on Hepatitis C background were divided according to receiving Hepatitis C treatment, treatment type, achievement of sustained virological response (SVR), time of resection pre- (Era 1, 1991-2011) and post-direct acting antivirals introduction (Era 2, 2012-2021). Survival was estimated with Kaplan-Meier curves, Cox regression analysis performed to identify survival predictors. RESULTS: Majority of patients had single lesion (67.8%), diameter >2 cm in 60.6%, no evidence of macroscopic vascular invasion on imaging. Pathology showed vascular invasion in 69.6% of patients, 76.5% microvascular. Recurrence developed in 247 patients (63.2%). 194 patients (49.6%) achieved SVR. Overall survival at 1-, 3-, 5-years was 94.6%, 85.7%, 78.8% for patients who achieved SVR, 80.1%, 48.1%, 29.9% in those who did not (p < 0.001). 220 patients (56.3%) were in Era 1, 171 (43.7%) in Era 2. Survival at 1-, 3-, 5-years was 76.1%, 49%, 36% in Era 1, 94.5%, 82.5%, 70.3% in Era 2 (p < 0.001). SVR was an independent predictor of survival on multiple Cox Regression analysis. CONCLUSION: While many aspects of HCC management have evolved, SVR following direct-acting antivirals independently improves HCC resection outcomes.

Inflamed and non-inflamed classes of HCC: a revised immunogenomic classification.

OBJECTIVE: We previously reported a characterisation of the hepatocellular carcinoma (HCC) immune contexture and described an immune-specific class. We now aim to further delineate the immunogenomic classification of HCC to incorporate features that explain responses/resistance to immunotherapy. DESIGN: We performed RNA and whole-exome sequencing, T-cell receptor (TCR)-sequencing, multiplex immunofluorescence and immunohistochemistry in a novel cohort of 240 HCC patients and validated our results in other cohorts comprising 660 patients. RESULTS: Our integrative analysis led to define: (1) the inflamed class of HCC (37%), which includes the previously reported immune subclass (22%) and a new immune-like subclass (15%) with high interferon signalling, cytolytic activity, expression of immune-effector cytokines and a more diverse T-cell repertoire. A 20-gene signature was able to capture ~90% of these tumours and is associated with response to immunotherapy. Proteins identified in liquid biopsies recapitulated the inflamed class with an area under the ROC curve (AUC) of 0.91; (2) The intermediate class, enriched in TP53 mutations (49% vs 29%, p=0.035), and chromosomal losses involving immune-related genes and; (3) the excluded class, enriched in CTNNB1 mutations (93% vs 27%, p<0.001) and PTK2 overexpression due to gene amplification and promoter hypomethylation. CTNNB1 mutations outside the excluded class led to weak activation of the Wnt-ßcatenin pathway or occurred in HCCs dominated by high interferon signalling and type I antigen presenting genes. CONCLUSION: We have characterised the immunogenomic contexture of HCC and defined inflamed and non-inflamed tumours. Two distinct CTNNB1 patterns associated with a differential role in immune evasion are described. These features may help predict immune response in HCC.

Novel microenvironment-based classification of intrahepatic cholangiocarcinoma with therapeutic implications.

OBJECTIVE: The diversity of the tumour microenvironment (TME) of intrahepatic cholangiocarcinoma (iCCA) has not been comprehensively assessed. We aimed to generate a novel molecular iCCA classifier that incorporates elements of the stroma, tumour and immune microenvironment ('STIM' classification). DESIGN: We applied virtual deconvolution to transcriptomic data from ~900 iCCAs, enabling us to devise a novel classification by selecting for the most relevant TME components. Murine models were generated through hydrodynamic tail vein injection and compared with the human disease. RESULTS: iCCA is composed of five robust STIM classes encompassing both inflamed (35%) and non-inflamed profiles (65%). The inflamed classes, named immune classical (~10%) and inflammatory stroma (~25%), differ in oncogenic pathways and extent of desmoplasia, with the inflammatory stroma showing T cell exhaustion, abundant stroma and KRAS mutations (p<0.001). Analysis of cell-cell interactions highlights cancer-associated fibroblast subtypes as potential mediators of immune evasion. Among the non-inflamed classes, the desert-like class (~20%) harbours the lowest immune infiltration with abundant regulatory T cells (p<0.001), whereas the hepatic stem-like class (~35%) is enriched in 'M2-like' macrophages, mutations in IDH1/2 and BAP1, and FGFR2 fusions. The remaining class (tumour classical: ~10%) is defined by cell cycle pathways and poor prognosis. Comparative analysis unveils high similarity between a KRAS/p19 murine model and the inflammatory stroma class (p=0.02). The KRAS-SOS inhibitor, BI3406, sensitises a KRAS-mutant iCCA murine model to anti-PD1 therapy. CONCLUSIONS: We describe a comprehensive TME-based stratification of iCCA. Cross-species analysis establishes murine models that align closely to human iCCA for the preclinical testing of combination strategies.

Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks.

OBJECTIVE: To assess the performance of convolutional neural networks (CNNs) for semiautomated segmentation of hepatocellular carcinoma (HCC) tumors on MRI. METHODS: This retrospective single-center study included 292 patients (237 M/55F, mean age 61 years) with pathologically confirmed HCC between 08/2015 and 06/2019 and who underwent MRI before surgery. The dataset was randomly divided into training (n = 195), validation (n = 66), and test sets (n = 31). Volumes of interest (VOIs) were manually placed on index lesions by 3 independent radiologists on different sequences (T2-weighted imaging [WI], T1WI pre-and post-contrast on arterial [AP], portal venous [PVP], delayed [DP, 3 min post-contrast] and hepatobiliary phases [HBP, when using gadoxetate], and diffusion-weighted imaging [DWI]). Manual segmentation was used as ground truth to train and validate a CNN-based pipeline. For semiautomated segmentation of tumors, we selected a random pixel inside the VOI, and the CNN provided two outputs: single slice and volumetric outputs. Segmentation performance and inter-observer agreement were analyzed using the 3D Dice similarity coefficient (DSC). RESULTS: A total of 261 HCCs were segmented on the training/validation sets, and 31 on the test set. The median lesion size was 3.0 cm (IQR 2.0-5.2 cm). Mean DSC (test set) varied depending on the MRI sequence with a range between 0.442 (ADC) and 0.778 (high b-value DWI) for single-slice segmentation; and between 0.305 (ADC) and 0.667 (T1WI pre) for volumetric-segmentation. Comparison between the two models showed better performance in single-slice segmentation, with statistical significance on T2WI, T1WI-PVP, DWI, and ADC. Inter-observer reproducibility of segmentation analysis showed a mean DSC of 0.71 in lesions between 1 and 2 cm, 0.85 in lesions between 2 and 5 cm, and 0.82 in lesions > 5 cm. CONCLUSION: CNN models have fair to good performance for semiautomated HCC segmentation, depending on the sequence and tumor size, with better performance for the single-slice approach. Refinement of volumetric approaches is needed in future studies. KEY POINTS: • Semiautomated single-slice and volumetric segmentation using convolutional neural networks (CNNs) models provided fair to good performance for hepatocellular carcinoma segmentation on MRI. • CNN models' performance for HCC segmentation accuracy depends on the MRI sequence and tumor size, with the best results on diffusion-weighted imaging and T1-weighted imaging pre-contrast, and for larger lesions.

Tumor burden in patients with early and intermediate-stage hepatocellular carcinoma undergoing liver resection: a retrospective multicenter study on clinical and oncological outcomes.

BACKGROUND: According to the Barcelona Clinic Liver Cancer (BCLC) staging system, liver resection (LR) is recommended for early-stage (BCLC-A) hepatocellular carcinoma (HCC) but not for intermediate-stage (BCLC-B). This study aimed to assess the outcomes of LR in these patients using a subclassification tumour burden score (TBS). METHODS: All consecutive patients that underwent LR for BCLC-A and BCLC-B HCC between 01/2010 and 12/2020 in 4 tertiary referral centers were included. Clinical outcomes and overall survival (OS) were assessed in relation to TBS and BCLC stages. RESULTS: Among 612 patients included, 562 were classified as BCLC-A and 50 as BCLC-B. The incidence of overall postoperative complications (56.0 vs 41.5%, p = 0.053) and mortality (0 vs 1.6%, p = 1.000) were similar between BCLC-A and BCLC-B patients. OS was significantly higher for BCLC A/low TBS than BCLC B/low TBS (p = 0.009), while patients with medium and high TBS had similar OS, irrespective of BCLC stage (respectively p = 0.103 and p = 0.343). CONCLUSIONS: Patients with medium and high TBS had comparable OS and DFS, irrespective of BCLC A or B stage, and postoperative morbidity was comparable. These results highlight the need for refinement of the BCLC staging system, and LR could be considered for selected intermediate stage (BCLC-B) according to the tumour burden.

Evidence-Based Management of Hepatocellular Carcinoma: Systematic Review and Meta-analysis of Randomized Controlled Trials (2002-2020).

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with a rapidly changing landscape of treatments. In the past 20 years, numerous randomized controlled trials (RCTs) have aimed at improving outcomes across disease stages. We aimed to analyze the current evidence and identify potential factors influencing response to therapies. METHODS: We conducted a systematic review of phase III RCTs (2002-2020) across disease stages. A meta-analysis was designed to examine the relationship between etiology and outcome after systemic therapies with either tyrosine-kinase inhibitor (TKI)/antiangiogenic or immune checkpoint inhibitor (ICI) therapy. RESULTS: Out of 10,100 studies identified, 76 were phase III RCTs. Among them, a rigorous screening algorithm identified 49 with high quality including a total of 22,113 patients undergoing adjuvant (n = 7) and primary treatment for early (n = 2), intermediate (n = 7), and advanced (first-line, n = 21; second-line, n = 12) stages of disease. Nine of these trials were positive, 6 treatments have been adopted in guidelines (sorafenib [2 RCTs], lenvatinib, atezolizumab+bevacizumab, regorafenib, cabozantinib and ramucirumab), but 2 were not (adjuvant CIK cells and sorafenib plus hepatic arterial infusion with FOLFOX). Meta-analysis of 8 trials including 3739 patients revealed ICI therapy to be significantly more effective in patients with viral hepatitis compared with nonviral-related HCC, whereas no differences related to etiology were observed in patients treated with TKI/anti-vascular endothelial growth factor. CONCLUSIONS: Among 49 high-quality RCTs conducted in HCC during 2002-2020, 9 resulted in positive results. A meta-analysis of systemic therapies suggests that immunotherapies may be more effective in viral etiologies.

Surgical Treatments of Hepatobiliary Cancers.

Hepatobiliary cancers which include hepatocellular carcinoma (HCC) and biliary tract cancers (i.e., cholangiocarcinoma and gallbladder carcinoma) are associated with significant morbidity and mortality based on the stage of the disease at presentation. With improved screening for hepatobiliary malignancies in patients with risk factors and with widespread use of laparoscopic cholecystectomy, hepatobiliary malignancies, including incidental diagnosis of gallbladder carcinoma, are on the rise. Definitive treatment of hepatobiliary malignancies include surgical resection, ablation, and liver transplantation. However, management of these cancers is challenging due to the complex hepatobiliary anatomy and the need for meticulous perioperative management especially in patients with advanced liver disease. The management and prognosis of hepatobiliary malignancies vary widely based on the stage of presentation, with surgical options providing the possibility of definitive cure in patients presenting with early-stage disease. Surgical resection for HCC results in good outcomes if performed in ideal candidates. For patients with early HCC who are not candidates for surgical resection, ablation and liver transplantation should be considered. Similarly, surgical resection is also the definitive treatment for biliary tract cancers, and liver transplantation can be curative in selected patients with perihilar cholangiocarcinoma after neoadjuvant chemoradiotherapy. The role of routine adjuvant chemotherapy and radiotherapy is not clearly established, but adjuvant therapies can offer better outcomes in patients with advanced disease at presentation. Outcomes of surgical management of hepatobiliary cancers seem to be improving. Given the complex decision-making process involved, multidisciplinary evaluation is essential to provide and coordinate the best treatments for these patients.

DNA Methylation Profiling of Human Hepatocarcinogenesis.

BACKGROUND AND AIMS: Mutations in TERT (telomerase reverse transcriptase) promoter are established gatekeepers in early hepatocarcinogenesis, but little is known about other molecular alterations driving this process. Epigenetic deregulation is a critical event in early malignancies. Thus, we aimed to (1) analyze DNA methylation changes during the transition from preneoplastic lesions to early HCC (eHCC) and identify candidate epigenetic gatekeepers, and to (2) assess the prognostic potential of methylation changes in cirrhotic tissue. APPROACH AND RESULTS: Methylome profiling was performed using Illumina HumanMethylation450 (485,000 cytosine-phosphateguanine, 96% of known cytosine-phosphateguanine islands), with data available for a total of 390 samples: 16 healthy liver, 139 cirrhotic tissue, 8 dysplastic nodules, and 227 HCC samples, including 40 eHCC below 2cm. A phylo-epigenetic tree derived from the Euclidean distances between differentially DNA-methylated sites (n = 421,997) revealed a gradient of methylation changes spanning healthy liver, cirrhotic tissue, dysplastic nodules, and HCC with closest proximity of dysplasia to HCC. Focusing on promoter regions, we identified epigenetic gatekeeper candidates with an increasing proportion of hypermethylated samples (beta value > 0.5) from cirrhotic tissue (<1%), to dysplastic nodules (≥25%), to eHCC (≥50%), and confirmed inverse correlation between DNA methylation and gene expression for TSPYL5 (testis-specific Y-encoded-like protein 5), KCNA3 (potassium voltage-gated channel, shaker-related subfamily, member 3), LDHB (lactate dehydrogenase B), and SPINT2 (serine peptidase inhibitor, Kunitz type 2) (all P < 0.001). Unsupervised clustering of genome-wide methylation profiles of cirrhotic tissue identified two clusters, M1 and M2, with 42% and 58% of patients, respectively, which correlates with survival (P < 0.05), independent of etiology. CONCLUSIONS: Genome-wide DNA-methylation profiles accurately discriminate the different histological stages of human hepatocarcinogenesis. We report on epigenetic gatekeepers in the transition between dysplastic nodules and eHCC. DNA-methylation changes in cirrhotic tissue correlate with clinical outcomes.

Assessment of HCC response to Yttrium-90 radioembolization with gadoxetate disodium MRI: correlation with histopathology.

BACKGROUND AND AIMS: Transarterial 90Y radioembolization (TARE) is increasingly being used for hepatocellular carcinoma (HCC) treatment. However, tumor response assessment after TARE may be challenging. We aimed to assess the diagnostic performance of gadoxetate disodium MRI for predicting complete pathologic necrosis (CPN) of HCC treated with TARE, using histopathology as the reference standard. METHODS: This retrospective study included 48 patients (M/F: 36/12, mean age: 62 years) with HCC treated by TARE followed by surgery with gadoxetate disodium MRI within 90 days of surgery. Two radiologists evaluated tumor response using RECIST1.1, mRECIST, EASL, and LI-RADS-TR criteria and evaluated the percentage of necrosis on subtraction during late arterial, portal venous, and hepatobiliary phases (AP/PVP/HBP). Statistical analysis included inter-reader agreement, correlation between radiologic and pathologic percentage of necrosis, and prediction of CPN using logistic regression and ROC analyses. RESULTS: Histopathology demonstrated 71 HCCs (2.8 ± 1.7 cm, range: 0.5-7.5 cm) including 42 with CPN, 22 with partial necrosis, and 7 without necrosis. EASL and percentage of tumor necrosis on subtraction at the AP/PVP were independent predictors of CPN (p = 0.02-0.03). Percentage of necrosis, mRECIST, EASL, and LI-RADS-TR had fair to good performance for diagnosing CPN (AUCs: 0.78 - 0.83), with a significant difference between subtraction and LI-RADS-TR for reader 2, and in specificity between subtraction and other criteria for both readers (p-range: 0.01-0.04). Radiologic percentage of necrosis was significantly correlated to histopathologic degree of tumor necrosis (r = 0.66 - 0.8, p < 0.001). CONCLUSIONS: Percentage of tumor necrosis on subtraction and EASL criteria were significant independent predictors of CPN in HCC treated with TARE. Image subtraction should be considered for assessing HCC response to TARE when using MRI. KEY POINTS: • Percentage of tumor necrosis on image subtraction and EASL criteria are significant independent predictors of complete pathologic necrosis in hepatocellular carcinoma treated with90Y radioembolization. • Subtraction, mRECIST, EASL, and LI-RADS-TR have fair to good performance for diagnosing complete pathologic necrosis in hepatocellular carcinoma treated with90Y radioembolization.