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Cholangiocarcinoma is a disease entity comprising diverse epithelial tumours with features of cholangiocyte differentiation: cholangiocarcinomas are categorized according to anatomical location as intrahepatic (iCCA), perihilar (pCCA), or distal (dCCA). Each subtype has a distinct epidemiology, biology, prognosis, and strategy for clinical management. The incidence of cholangiocarcinoma, particularly iCCA, has increased globally over the past few decades. Surgical resection remains the mainstay of potentially curative treatment for all three disease subtypes, whereas liver transplantation after neoadjuvant chemoradiation is restricted to a subset of patients with early stage pCCA. For patients with advanced-stage or unresectable disease, locoregional and systemic chemotherapeutics are the primary treatment options. Improvements in external-beam radiation therapy have facilitated the treatment of cholangiocarcinoma. Moreover, advances in comprehensive whole-exome and transcriptome sequencing have defined the genetic landscape of each cholangiocarcinoma subtype. Accordingly, promising molecular targets for precision medicine have been identified, and are being evaluated in clinical trials, including those exploring immunotherapy. Biomarker-driven trials, in which patients are stratified according to anatomical cholangiocarcinoma subtype and genetic aberrations, will be essential in the development of targeted therapies. Targeting the rich tumour stroma of cholangiocarcinoma in conjunction with targeted therapies might also be useful. Herein, we review the evolving developments in the epidemiology, pathogenesis, and management of cholangiocarcinoma.

Background Although the Barcelona Clinic Liver Cancer (BCLC) staging system has been largely adopted in clinical practice, recent studies have questioned the prognostic stratification of this classification schema, as well as the proposed treatment allocation of patients with a single large tumor. Methods Patients who underwent curative-intent hepatectomy for histologically proven hepatocellular carcinoma (HCC) between 1998 and 2017 were identified using an international multi-institutional database. Overall survival (OS) among patients with BCLC stage 0, A, and B was examined. Patients with a single large tumor were classified as BCLC stage A1 and were independently assessed. Results Among 814 patients, 68 (8.4%) were BCLC-0, 310 (38.1%) were BCLC-A, 279 (34.3%) were BCLC-A1, and 157 (19.3%) were BCLC-B. Five-year OS among patients with BCLC stage 0, A, A1, and B HCC was 86.2%, 69.0%, 56.9%, and 49.9%, respectively ( p  < 0.001). Among patients with very early- and early-stage HCC (BCLC 0, A, and A1), patients with BCLC stage A1 had the worst OS ( p  = 0.0016). No difference in survival was noted among patients undergoing surgery for BCLC stage A1 and B HCC (5-year OS: 56.9% vs. 49.9%; p  = 0.259) even after adjusting for competing factors (hazard ratio 0.83, 95% confidence interval 0.54–1.28; p  = 0.40). Conclusion Prognosis following liver resection among patients with BCLC-A1 HCC was similar to patients presenting with BCLC-B tumors. Surgery provided acceptable long-term outcomes among select patients with BCLC-B HCC. Designation into BCLC stage B should not be considered an a priori contraindication to surgery.

Hepatocellular carcinoma (HCC) is one of the most frequent forms of liver cancer, and effective treatment methods are limited due to tumor heterogeneity. There is a great need for comprehensive approaches to stratify HCC patients, gain biological insights into subtypes, and ultimately identify effective therapeutic targets. We stratified HCC patients and characterized each subtype using transcriptomics data, genome-scale metabolic networks and network topology/controllability analysis. This comprehensive systems-level analysis identified three distinct subtypes with substantial differences in metabolic and signaling pathways reflecting at genomic, transcriptomic, and proteomic levels. These subtypes showed large differences in clinical survival associated with altered kynurenine metabolism, WNT/β-catenin–associated lipid metabolism, and PI3K/AKT/mTOR signaling. Integrative analyses indicated that the three subtypes rely on alternative enzymes (e.g., ACSS1/ACSS2/ACSS3, PKM/PKLR, ALDOB/ALDOA, MTHFD1L/MTHFD2/MTHFD1) to catalyze the same reactions. Based on systems-level analysis, we identified 8 to 28 subtype-specific genes with pivotal roles in controlling the metabolic network and predicted that these genes may be targeted for development of treatment strategies for HCC subtypes by performing in silico analysis. To validate our predictions, we performed experiments using HepG2 cells under normoxic and hypoxic conditions and observed opposite expression patterns between genes expressed in high/moderate/low-survival tumor groups in response to hypoxia, reflecting activated hypoxic behavior in patients with poor survival. In conclusion, our analyses showed that the heterogeneous HCC tumors can be stratified using a metabolic network-driven approach, which may also be applied to other cancer types, and this stratification may have clinical implications to drive the development of precision medicine.

Liver tumors are rare in children, and their diagnoses may be challenging particularly because of the lack of a current consensus classification system. Systematic central histopathological review of these tumors performed as part of the pediatric collaborative therapeutic protocols has allowed the identification of histologic subtypes with distinct clinical associations. As a result, histopathology has been incorporated within the Children's Oncology Group (COG) protocols, and only in the United States, as a risk-stratification parameter and for patient management. Therefore, the COG Liver Tumor Committee sponsored an International Pathology Symposium in March 2011 to discuss the histopathology and classification of pediatric liver tumors, and hepatoblastoma in particular, and work towards an International Pediatric Liver Tumors Consensus Classification that would be required for international collaborative projects. Twenty-two pathologists and experts in pediatric liver tumors, including those serving as central reviewers for the COG, European Société Internationale d'Oncologie Pédiatrique, Gesellschaft für Pädiatrische Onkologie und Hämatologie, and Japanese Study Group for Pediatric Liver Tumors protocols, as well as pediatric oncologists and surgeons specialized in this field, reviewed more than 50 pediatric liver tumor cases and discussed classic and newly reported entities, as well as criteria for their classification. This symposium represented the first collaborative step to develop a classification that may lead to a common treatment-stratification system incorporating tumor histopathology. A standardized, clinically meaningful classification will also be necessary to allow the integration of new biological parameters and to move towards clinical algorithms based on patient characteristics and tumor genetics, which should improve future patient management and outcome.

Key Points A number of treatments are available for hepatocellular carcinoma (HCC), and their allocation—as well as disease prognosis—is influenced by tumour stage and the degree of liver-function impairment The current definition of intermediate-stage HCC (Barcelona Clinic Liver Cancer [BCLC] stage B) is extensive multifocal disease confined to the liver, with preserved liver function and no cancer-related symptoms Transarterial chemoembolization (TACE) is considered the standard treatment for intermediate-stage HCC in patients with preserved liver function and no cancer-related symptoms Major efforts have been made to improve outcomes among patients treated with TACE; accurate technique together with appropriate patient selection is key to obtaining the best results Sorafenib, the only systemic treatment associated with a survival benefit in HCC, should be considered for patients with BCLC stage B HCC who are not eligible for TACE Radioembolization has antitumoural efficacy in patients with intermediate-stage HCC, but evidence of survival benefit has not been presented and is awaited The treatment options available for hepatocellular carcinoma (HCC) vary depending on prognostic factors that include tumour characteristics and clinical status, particularly with regard to liver function. This Review discusses the links between disease phenotype, prognosis and therapy, focusing on the subclassification of patients with intermediate-stage HCC following the BCLC staging system, who are usually ineligible for curative resection and ablation treatments or liver transplantation; the therapies that are available for this patient subgroup are described. Hepatocellular carcinoma (HCC)—closely associated with liver cirrhosis and, in fact, the main cause of death in patients with such disease—is now recognized as one of the most-prevalent and lethal neoplasms worldwide. Prognosis and allocation of the multiple available treatment options for patients with HCC are influenced not only by tumour stage, but also by the degree of liver-function impairment. Therefore, accurate assessment and classification of disease is important for patient management. According to the Barcelona Clinic Liver Cancer (BCLC) algorithm, intermediate-stage HCC is defined as extensive multifocal disease without vascular invasion in patients with preserved liver function and absence of cancer-related symptoms; in this context, transarterial chemoembolization (TACE) is considered the standard treatment. The use of drug-eluting beads has enabled standardization of this procedure, resulting in higher reproducibility and tolerability of the treatment. Nevertheless, not all patients with intermediate-stage HCC are good candidates for TACE and, for such patients in whom TACE is not appropriate or has failed, other treatments can be considered, including sorafenib. Radioembolization is a promising alternative that deserves further prospective studies. Herein, we review the current approaches used to accurately stratify patients with intermediate-stage HCC and subsequently allocate the most-appropriate treatments. The key developments in therapeutic strategies are also discussed.

The purpose of this study is to evaluate the accuracy for classification of hepatic tumors by characterization of T1-weighted magnetic resonance (MR) images using two radiomics approaches with machine learning models: texture analysis and topological data analysis using persistent homology. This study assessed non-contrast-enhanced fat-suppressed three-dimensional (3D) T1-weighted images of 150 hepatic tumors. The lesions included 50 hepatocellular carcinomas (HCCs), 50 metastatic tumors (MTs), and 50 hepatic hemangiomas (HHs) found respectively in 37, 23, and 33 patients. For classification, texture features were calculated, and also persistence images of three types (degree 0, degree 1 and degree 2) were obtained for each lesion from the 3D MR imaging data. We used three classification models. In the classification of HCC and MT (resp. HCC and HH, HH and MT), we obtained accuracy of 92% (resp. 90%, 73%) by texture analysis, and the highest accuracy of 85% (resp. 84%, 74%) when degree 1 (resp. degree 1, degree 2) persistence images were used. Our methods using texture analysis or topological data analysis allow for classification of the three hepatic tumors with considerable accuracy, and thus might be useful when applied for computer-aided diagnosis with MR images.

Background Microvascular invasion (MVI) has been recognized as a risk factor for outcome following curative resection in hepatocellular carcinoma (HCC). Because MVI can range from few to many invaded vessels, we evaluated the significance of MVI classification in this study. Methods Between January 1995 and December 2010, 207 consecutive patients who underwent curative resection for HCC within Milan criteria were included in this retrospective study. Patients were classified into mild and severe MVI groups based on the number of vessels invaded. This study evaluated whether MVI classification can help to predict recurrence and survival after curative resection. Results Of the total 207 patients, 103 (50 %) patients had no detectable MVI, whereas 59 (28 %) had mild MVI, and 45 (22 %) had severe MVI. Recurrence-free survival rates at 2 years for patients without MVI, with mild MVI, and severe MVI were 75.9, 47.2, and 32.7 %, respectively. Patients with severe MVI experienced a high frequency of fatal recurrence, such as multiple tumors, macroscopic vascular invasion, and extrahepatic metastasis after curative resection. Multivariate analysis revealed age, number of tumors, mild MVI, and severe MVI as independent predictors of recurrence-free survival. Disease-specific survival rates at 5 years for patients without MVI, with mild MVI, and severe MVI were 91.5, 70.4, and 51.4, respectively. Multivariate analysis also revealed cirrhosis, tumor size, mild MVI, and severe MVI as independent predictors of disease-specific survival. Conclusions We demonstrated that MVI classification can stratify HCC patients by different patterns of recurrence and risk of survival after curative resection.

Cholangiocarcinoma (CC) is the second most common tumor of the liver, originating from the biliary system with increasing incidence and mortality worldwide. Several new classifications review the significance of tumor localization, site of origin, proliferation and biomarkers in the intrahepatic, perihilar and distal forms of the lesion. Based on growth pattern mass-forming, periductal-infiltrating, intraductal, undefined and mixed types are differentiated. There are further subclassifications which are applied for the histological features, in particular for intrahepatic CC. Recognition of the precursors and early lesions of CC including biliary intraepithelial neoplasia (BilIN), intraductal papillary neoplasm of the bile ducts (IPNB), biliary mucinous cystic neoplasm (MCNB) and the candidate precursors, such as bile duct adenoma and von Meyenburg complex is of increasing significance. In addition to the previously used biliary markers detected by immunohistochemistry, several new markers have been added to the differentiation of both the benign and malignant lesions, which can be used to aid in the subclassification in association with the outcome of CC. Major aspects of biliary carcinogenesis have been revealed, yet, the exact way of this diverse process is still unclear. The factors contributing to molecular cholangiocarcinogenesis include various risk factors, different anatomical localizations, multiple cellular origins, genetic and epigenetic alterations, tumor microenvironment, heterogeneity and clonal evolution. Driver mutations have been identified, implying that they are optimal candidates for targeted therapy. The most promising therapeutic candidates have entered clinical trials.

Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is a leading cause of cancer-related mortality worldwide 1 , 2 . HCC occurs typically from a background of chronic liver disease, caused by a spectrum of predisposing conditions. Tumour development is driven by the expansion of clones that accumulate progressive driver mutations 3 , with hepatocytes the most likely cell of origin 2 . However, the landscape of driver mutations in HCC is broadly independent of the underlying aetiologies 4 . Despite an increasing range of systemic treatment options for advanced HCC, outcomes remain heterogeneous and typically poor. Emerging data suggest that drug efficacies depend on disease aetiology and genetic alterations 5 , 6 . Exploring subtypes in preclinical models with human relevance will therefore be essential to advance precision medicine in HCC 7 . Here we generated a suite of genetically driven immunocompetent in vivo and matched in vitro HCC models. Our models represent multiple features of human HCC, including clonal origin, histopathological appearance and metastasis. We integrated transcriptomic data from the mouse models with human HCC data and identified four common human–mouse subtype clusters. The subtype clusters had distinct transcriptomic characteristics that aligned with the human histopathology. In a proof-of-principle analysis, we verified response to standard-of-care treatment and used a linked in vitro–in vivo pipeline to identify a promising therapeutic candidate, cladribine, that has not previously been linked to HCC treatment. Cladribine acts in a highly effective subtype-specific manner in combination with standard-of-care therapy. As proof of principle, an analysis using a suite of human-aligned immunocompetent mouse models of hepatocellular carcinoma identifies a promising therapeutic candidate, cladribine, which acts in a highly effective subtype-specific manner in combination with standard-of-care therapy.