Combined hepatocellular-cholangiocarcinoma (cHCC-CC) is a rare primary liver cancer. Our aims were to analyze the demographic, clinical, and pathological characteristics of cHCC-CC at a population level and to investigate the effects of these features as well as different management strategies on the prognosis. The Surveillance, Epidemiology, and End Results (SEER) database was analyzed for 1988–2009. Data analyses were performed with chi-square tests, analyses of variance, Kaplan-Meier curves, and Cox proportional hazards regression. Four hundred sixty-five patients with cHCC-CC, 52,825 patients with hepatocellular carcinoma (HCC), and 7181 patients with cholangiocarcinoma (CC) were identified. cHCC-CC was more common in patients who were white, male, and older than 65 years. Treatment was more frequently nonsurgical/interventional. Patients with cHCC-CC, HCC, and CC had 5-year overall survival (OS) and disease-specific survival rates of 10.5%, 11.7%, and 5.7% (P < 0.001) and 17.8%, 21.0%, and 11.9% (P < 0.001), respectively. For cHCC-CC patients, an increasing invasiveness of the therapeutic approach was significantly associated with prolonged survival (P < 0.001). In a multivariate model, black race, a distant SEER stage, and a tumor size of 5.0 to 10.0 cm were independently associated with lower survival for cHCC-CC patients; a year of diagnosis after 1995 and surgical treatment with minor hepatectomy, major hepatectomy (MJH), or liver transplantation (LT) were independently associated with better survival for cHCC-CC patients. Patients diagnosed with cHCC-CC, HCC, and CC and treated with LT had 5-year OS rates of 41.1%, 67.0%, and 29.0%, respectively (P < 0.001). In conclusion, cHCC-CC patients appear to have intermediate demographic, clinical, and survival characteristics in comparison with HCC and CC patients. cHCC-CC patients undergoing LT showed inferior survival in comparison with HCC patients, and the role and indications for LT in cHCC-CC have yet to be defined. At this time, MJH may be considered the best therapeutic approach for such patients. Liver Transpl 20:952–959, 2014. © 2014 AASLD.

Background. Innovative drugs targeting the PD1/PD-L1 axis have opened promising scenarios in modern cancer therapy. Plenty of assays and scoring systems have been developed for the evaluation of PD-L1 immunohistochemical expression, so far considered the most reliable therapeutic predictive marker. Methods. By gathering the opinion of acknowledged experts in dedicated fields of pathology, we sought to update the currently available evidence on PD-L1 assessment in various types of tumors. Results. Robust data were progressively collected for several anatomic districts and leading international agencies to approve specific protocols: among these, TPS with 22C3, SP142 and SP263 clones in lung cancer; IC with SP142 antibody in breast, lung and urothelial tumors; and CPS with 22C3/SP263 assays in head and neck and urothelial carcinomas. On the other hand, for other malignancies, such as gastroenteric neoplasms, immunotherapy has been only recently introduced, often for particular histotypes, so specific guidelines are still lacking. Conclusions. PD-L1 immunohistochemical scoring is currently the basis for allowing many cancer patients to receive properly targeted therapies. While protocols supported by proven data are already available for many tumors, dedicated studies and clinical trials focusing on harmonization of the topic in other still only partially explored fields are surely yet advisable.

Current pathology practice is being shaped by the increasing complexity of modern medicine, in particular of precision oncology, and major technological advances. In the “next-generation technologies era”, the pathologist has become the person responsible for the integration and interpretation of morphologic and molecular information and for the delivery of critical answers to diagnostic, prognostic and predictive queries, acquiring a prominent position in the molecular tumor boards.

Recent advancements in Matrix Assisted Laser Desorption/Ionisation (MALDI) Mass Spectrometry Imaging (MSI) technology have enabled the analysis of formalin-fixed paraffin-embedded (FFPE) tissue samples, unlocking a wealth of new proteomic information and facilitating the possibility of performing studies with higher statistical power as well as multi-centric collaborations within the field of proteomics research. However, current methods used to analyse these specimens are often time-consuming and they need to be modified when applied to human tissues of different origin. Here we present a reproducible and time-effective method that could address these aforementioned issues and widen the applicability of this technology to a number of challenging tissue types. Additionally, tissue molecular images show high spatial resolution and a strong correlation with the morphological features, enabling the identification of tissue morphology using statistically derived visualisation, without any prior knowledge.