Urinary biomarkers for hepatocellular carcinoma: current knowledge for clinicians.

Hepatocellular carcinoma (HCC) is the most predominant primary liver cancer, causing many illnesses and deaths worldwide. The insidious clinical presentation, difficulty in early diagnosis, and the highly malignant nature make the prognosis of HCC extremely poor. The complex and heterogeneous pathogenesis of HCC poses significant challenges to developing therapies. Urine-based biomarkers for HCC, including diagnostic, prognostic, and monitoring markers, may be valuable supplements to current tools such as serum α-fetoprotein (AFP) and seem promising for progress in precision medicine. Herein, we reviewed the major urinary biomarkers for HCC and assessed their potential for clinical application. Molecular types, testing platforms, and methods for building multimolecule models in the included studies have shown great diversity, thus providing abundant novel tools for future clinical transformation and applications.

A Nomogram to Predict Individual Survival of Patients with Liver-Limited Metastases from Gastroenteropancreatic Neuroendocrine Neoplasms: A US Population-Based Cohort Analysis and Chinese Multicenter Cohort Validation Study.

INTRODUCTION: Although gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) with liver metastasis encompass a wide variety of clinical conditions with various prognosis, no statistical model for predicting the prognosis of these patients has been established. We sought to establish a more elaborative and individualized nomogram to predict survival of patients with liver-limited metastatic GEP-NENs. In addition, this nomogram was validated by both the Surveillance, Epidemiology, and End Results (SEER) database and a Chinese multicenter cohort. METHODS: Patients diagnosed with GEP-NENs with liver-limited metastasis between 2010 and 2016 were identified from the SEER database. Kaplan-Meier survival analysis was performed to analyze survival outcomes. A nomogram was established based on the independent prognostic variables identified from univariate and multivariate Cox regression analyses. The nomogram was evaluated in both an internal validation SEER dataset and an external validation dataset composed of patients from the Chinese multicenter cohort. RESULTS: A total of 1,474 patients from the SEER database and 192 patients from the multicenter cohort were included. Age, tumor size, differentiation, primary tumor resection, and liver metastasis resection were identified as independent prognostic factors by univariate and multivariate Cox analyses and were verified by Kaplan-Meier survival analysis (all p < 0.0001). A nomogram was developed and validated by calibration curves and areas under the curve of the external validation cohort, which showed good consistency and veracity in predicting overall survival. CONCLUSION: A nomogram was developed for the first time to predict the survival of patients with liver-limited metastases from GEP-NENs. Both internal and external validation demonstrated excellent discrimination and calibration of our nomogram. Based on this prognostic model, clinicians could develop more personalized treatment strategies and surveillance protocols.

A four-gene-based prognostic model predicts overall survival in patients with hepatocellular carcinoma.

With the development of new advances in hepatocellular carcinoma (HCC) management and noninvasive radiological techniques, high-risk patient groups such as those with hepatitis virus are closely monitored. HCC is increasingly diagnosed early, and treatment may be successful. In spite of this progress, most patients who undergo a hepatectomy will eventually relapse, and the outcomes of HCC patients remain unsatisfactory. In our study, we aimed to identify potential gene biomarkers based on RNA sequencing data to predict and improve HCC patient survival. The gene expression data and clinical information were acquired from The Cancer Genome Atlas (TCGA) database. A total of 339 differentially expressed genes (DEGs) were obtained between the HCC (n = 374) and normal tissues (n = 50). Four genes (CENPA, SPP1, MAGEB6 and HOXD9) were screened by univariate, Lasso and multivariate Cox regression analyses to develop the prognostic model. Further analysis revealed the independent prognostic capacity of the prognostic model in relation to other clinical characteristics. The receiver operating characteristic (ROC) curve analysis confirmed the good performance of the prognostic model. Then, the prognostic model and the expression levels of the four genes were validated using the Gene Expression Omnibus (GEO) dataset. A nomogram comprising the prognostic model to predict the overall survival was established, and internal validation in the TCGA cohort was performed. The predictive model and the nomogram will enable patients with HCC to be more accurately managed in trials testing new drugs and in clinical practice.

Classification of gallbladder cancer by assessment of CD8+ TIL and PD-L1 expression.

BACKGROUND: Programmed death ligand 1/2 (PD-L1/PD-L2) expression has been established as a prognostic factor for various solid tumors and as a predictive factor for PD-1 blockade therapy, but scant data on its role in gallbladder cancer (GBC). The aims of this study were to assess the expression of PD-L1/PD-L2 and the density of CD8+ tumor-infiltrating lymphocytes (TIL) from GBC samples and to quantify the association between survival prognosis and these factors. METHODS: CD8+ TILs density and the expression of PD-1, PD-L1, PD-L2 and CD133 were assessed using immunohistochemistry in tumor specimens from 66 patients with gallbladder adenocarcinoma. These indexes were correlated with the clinicopathological features. RESULTS: The rate of PD-L1-positive (PD-L1+) was 54%, which included 18% positivity in tumor cells, and 36% in peritumoral immune stroma. High CD8+ TIL density (CD8high) was observed in PD-L1+ GBC, and PD-L1+ was positively associated with PD-L2+ expression. Regarding prognostic factors, PD-L1+ expression was related to worse overall survival (OS), and CD8high indicated better OS and progression-free survival (PFS). The combination of CD8high with PD-L1+ serves as a prognostic factor for improved OS (P < 0.001) and PFS (P = 0.014). CONCLUSION: Analysis of the tumor immune microenvironment based on CD8+ TIL and PD-L1 expression is a promising independent predictor for the clinical outcome of GBC patients.

Distinct hepatitis B virus integration patterns in hepatocellular carcinoma and adjacent normal liver tissue.

Infection by the hepatitis B virus (HBV) is one of the main etiologies of hepatocellular carcinoma (HCC). During chronic infection, HBV DNA can integrate into the human genome, and this has been postulated as a possible mechanism of HBV-induced HCC. In this study we used 2199 HBV integration sites from Dr.VIS v2.0 and mapped them to the human genome (hg19) to obtain viral integration sites (VIS) related to protein-coding and non-protein-coding genes. In total, we found 1,377 and 767 VIS within close proximity to protein coding genes and noncoding genes, respectively. Genes affected more than two times included 23.1% of protein-coding genes and 24.7% of long noncoding RNAs (lncRNA). Only 4.8% of VIS were shared between HCC and non-tumor tissues. HBV integrations were more common in chromosomes 5, 8, 10, and 19 in HCC tissue and chromosomes 1 and 2 in non-tumorous tissue. The number of integration sites on each chromosome correlated with the number of fragile sites in non-tumorous tissue but not in HCC tissue. Functional enrichment analysis of the protein-coding genes containing or in close proximity to HBV integration sites in HCC tissue showed an enrichment of cancer related gene ontology terms. Additionally, the most frequently associated lncRNA genes were related to telomere maintenance, protein modification processes, and chromosome localization. Thus, HBV may have preferred integration sites in the human genome that serve a critical role in HCC development. These results show that HCC treatment may benefit from the development of next generation anti-viral therapies.

Dr.VIS v2.0: an updated database of human disease-related viral integration sites in the era of high-throughput deep sequencing.

Dr.VIS is a database of human disease-related viral integration sites (VIS). The number of VIS has grown rapidly since Dr.VIS was first released in 2011, and there is growing recognition of the important role that viral integration plays in the development of malignancies. The updated database version, Dr.VIS v2.0 (http://www.bioinfo.org/drvis or bminfor.tongji.edu.cn/drvis_v2), represents 25 diseases, covers 3340 integration sites of eight oncogenic viruses in human chromosomes and provides more accurate information about VIS from high-throughput deep sequencing results obtained mainly after 2012. Data of VISes for three newly identified oncogenic viruses for 14 related diseases have been added to this 2015 update, which has a 5-fold increase of VISes compared to Dr.VIS v1.0. Dr.VIS v2.0 has 2244 precise integration sites, 867 integration regions and 551 junction sequences. A total of 2295 integration sites are located near 1730 involved genes. Of the VISes, 1153 are detected in the exons or introns of genes, with 294 located up to 5 kb and a further 112 located up to 10 kb away. As viral integration may alter chromosome stability and gene expression levels, characterizing VISes will contribute toward the discovery of novel oncogenes, tumor suppressor genes and tumor-associated pathways.

Retrospective and comparative study of inflammatory myofibroblastic tumor of the liver.

BACKGROUND AND AIM: Inflammatory myofibroblastic tumor of the liver (IMTL) is a very rare benign disease with a good prognosis. The study aims to determine the clinical, radiological, and pathological characteristics of IMTL. The diagnosis and treatment strategies were discussed. METHODS: A total of 11 patients with pathologically confirmed IMTL receiving treatment over a 15-year period were reviewed retrospectively. The analysis included demographics information and pertinent clinical data. Results obtained from patients with hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (IHCC), and metastatic liver cancer (MLC) receiving surgical resection were compared. RESULTS: In comparison to HCC, IHCC, and MLC, IMTL has an earlier onset (P < 0.001). IMTL patients had significantly lower aspartate aminotransferase (P = 0.003) and higher alkaline phosphatase (P = 0.034) than HCC patients, and higher gamma-glutamyl transpeptidase (P = 0.010) than MLC patients. Increased serum α-fetoprotein level was detected in only one patient. Serum α-fetoprotein was significantly lower in patients with IMTL (P = 0.000) than in those with HCC but not IHCC (P = 0.558) or MLC (P = 0.514). In contrast to elevated serum CA19-9 in patients with HCC/IHCC/MLC, the serum CA19-9 in IMTL cases was generally normal (vs HCC P = 0.008; vs IHCC P = 0.000; vs MLC P = 0.022). In nine IMTL patients, the tumor appeared as a hypoechogenic solid mass on the ultrasonography. In contrast, most patients with HCC, IHCC, or MLC showed hybrid echo. In contrast computed tomography and magnetic resonance imaging, the lesion of IMTL and MLC appeared as peripheral enhancement. CONCLUSION: Lab tests, imaging features, and patient history are helpful in the differential diagnosis of IMTL from HCC/IHCC/MLC. Surgical resection is curative for IMTL.

A phylogenetic analysis of the ubiquitin superfamily based on sequence and structural information.

Ubiquitin belongs to an important class of protein modifier and gene expression regulator proteins that participates in various cellular processes. A large number of ubiquitin-related proteins have been identified during the last two decades. However, the evolutionary history of this ancient gene family remains largely unknown. We analyzed the members of the superfamily using both sequence- and structure-based methodology to better understand the evolution of ubiquitin-related proteins. As a part of these analyses we used the MEME algorithm to extract common sequence motifs across the superfamily, and we inferred the phylogeny and distribution of the superfamily members across multiple species. A total of 23 families were identified in the gene family. Several common sequence motifs were revealed and evaluated. We also found that the number of genes for ubiquitin-related proteins encoded within a specific genome correlates with the biological complexity of that particular species. This analysis should provide valuable insight into the sequence/function relationships and evolutionary history of ubiquitin and ubiquitin-related proteins.

Exploration of prognostic and treatment markers in hepatocellular carcinoma via GPCR-related genes analysis.

Background: G protein-coupled receptors (GPCRs), the biggest family of signaling receptors, account for 34 % of all the drug targets approved by the Food and Drug Administration (FDA). It has been gradually recognized that GPCRs are of significance for tumorigenesis, but in-depth studies are still required to explore specific mechanisms. In this study, the role of GPCRs in hepatocellular carcinoma (HCC) was elucidated, and GPCR-related genes were employed for building a risk-score model for the prognosis and treatment efficacy prediction of HCC patients. Methods: Patients' data on HCC were sourced from the Liver Hepatocellular Carcinoma-Japan (LIRI-JP) and The Cancer Genome Atlas (TCGA) databases, while GPCR-related genes were obtained from the Molecular Signatures Database (MSigDB). Univariant and multivariant Cox regression analyses, as well as least absolute shrinkage and selection operator (LASSO) were performed with the aim of identifying differentially expressed GPCR-related genes and grouping patients. Differential expression and functional enrichment analyses were performed; protein-protein interaction (PPI) mechanisms were explored; hub genes and micro ribonucleic acid (miRNA)-target gene regulatory networks were constructed. The tumor immune dysfunction and exclusion (TIDE) algorithm was utilized to evaluate immune infiltration levels and genetic variations. Sensitivity to immunotherapy and common antitumor drugs was predicted via the database Genomics of Drug Sensitivity in Cancer (GDSC). Results: A GPCR-related risk score containing eight GPCR-related genes (atypical chemokine receptor 3 (ACKR3), C-C chemokine receptor type 3 (CCR3), CCR7, frizzled homolog 5 (FZD5), metabotropic glutamate receptor 8 (GRM8), hydroxycarboxylic acid receptor 1 (HCAR1), 5-hydroxytryptamine receptor 5A (HTR5A) and nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 6 (NLRP6)) was set up. In addition, patients were classified into groups with high and low risks. Patients in the high-risk group exhibited a worse prognosis but demonstrated a more favorable immunotherapy response rate compared with those in the low-risk group. Distinct sensitivity to chemotherapeutic drugs was observed. A clinical prediction model on the basis of GPCR-related risk scores was constructed. Areas under the curves (AUC) corresponding to one-, three- and five-year survival were 0.731, 0.765 and 0.731, respectively. Conclusions: In this study, an efficient HCC prognostic prediction model was constructed by only GPCR-related genes, which are all potential targets for HCC treatment.

Genetically redirected HBV-specific T cells target HBsAg-positive hepatocytes and primary lesions in HBV-associated HCC.

Background and Aims: HBV-DNA integration in HBV-related hepatocellular carcinoma (HBV-HCC) can be targeted by HBV-specific T cells. SCG101 is an autologous, HBV-specific T-cell product expressing a T-cell receptor (TCR) after lentiviral transduction recognizing the envelope-derived peptide (S20-28) on HLA-A2. We here validated its safety and efficacy preclinically and applied it in an HBV-related HCC patient (NCT05339321). Methods: GMP-grade manufactured cells were assessed for off-target reactivity and functionality against hepatoma cells. Subsequently, a patient with advanced HBV-HCC (Child-Pugh:A, BCLC:B, ECOG:0, HBeAg-, serum HBsAg+, hepatocytes 10% HBsAg+) received 7.9x107 cells/kg after lymphodepletion. Safety, T-cell persistence, and antiviral and antitumor efficacy were evaluated. Results: SCG101, produced at high numbers in a closed-bag system, showed HBV-specific functionality against HBV-hepatoma cells in vitro and in vivo. Clinically, treatment was well tolerated, and all adverse events, including transient hepatic damage, were reversible. On day 3, ALT levels increased to 1404 U/ml, and concurrently, serum HBsAg started decreasing by 3.84log and remained <1 IU/ml for over six months. HBsAg expressing hepatocytes in liver biopsies were undetectable after73 days. The patient achieved a partial response according to mRECIST score with a >70% reduction of target lesion size. Transferred T cells expanded, developed a stem cell-like memory phenotype, and were still detectable after six months in the patient's blood. Conclusions: SCG101 T-cell therapy showed encouraging efficacy and safety in pre-clinical models and in a patient with primary HBV-HCC and concomitant chronic hepatitis B with the capability to eliminate HBsAg+ cells and achieve sustained tumor control after single dosing.

Neoadjuvant targeted immunotherapy followed by surgical resection versus upfront surgery for hepatocellular carcinoma with macrovascular invasion: A multicenter study.

Background: This study aimed to investigate the safety and efficacy of preoperative targeted immunotherapy followed by surgical resection for hepatocellular carcinoma (HCC) patients with macrovascular invasion. Method: Clinical information of HCC patients with macrovascular invasion was collected from four medical centers. These patients were divided into two cohorts: the upfront surgery group (n=40) and the neoadjuvant group (n=22). Comparisons between the two groups were made with appropriate statistical methods. Results: HCC Patients with macrovascular invasion in the neoadjuvant group were associated with increased incidence of postoperative ascites (72.73% vs. 37.5%, P=0.008), but shorter postoperative hospital stay (10 days vs. 14 days, P=0.032). Furthermore, targeted immunotherapy followed by surgical resection significantly reduced the postoperative recurrence rate at both 3 months and 1 year (9% versus 28.9%, 32.1% versus 67.9%, respectively; P=0.018), but increased the postoperative nononcologic mortality rate within 1 year (20.1% vs. 2.8%; P= 0.036). Conclusion: For HCC patients with macrovascular invasion, preoperative targeted immunotherapy significantly decreased the postoperative tumor recurrence rate while maintaining relative safety, but such a treatment may also result in chronic liver damage and increased risk of nononcologic mortality.

LINC02257 regulates colorectal cancer liver metastases through JNK pathway.

Background: Long noncoding RNAs (lncRNAs) have emerged as critical regulators of colorectal cancer (CRC) progression, but their roles and underlying mechanisms in colorectal cancer liver metastases (CRLMs) remain poorly understood. Methods: To explore the expression patterns and functions of lncRNAs in CRLMs, we analyzed the expression profiles of lncRNAs in CRC tissues using the TCGA database and examined the expression patterns of lncRNAs in matched normal, CRC, and CRLM tissues using clinical samples. We further investigated the biological roles of LINC02257 in CRLM using in vitro and in vivo assays, and verified its therapeutic potential in a mouse model of CRLM. Results: Our findings showed that LINC02257 was highly expressed in metastatic CRC tissues and its expression was negatively associated with overall survival. Functionally, LINC02257 promoted CRC cell growth, migration, metastasis, and inhibited cell apoptosis in vitro, and enhanced liver metastasis in vivo. Mechanistically, LINC02257 up-regulated phosphorylated c-Jun N-terminal kinase (JNK) to promote CRLM. Conclusions: Our study revealed that LINC02257 played a key role in the proliferation and metastasis of CRC cells through the LINC02257/JNK axis. Targeting this axis may represent a promising therapeutic strategy for the treatment of liver metastases in patients with CRC.

Integrated analysis revealing a novel stemness-metabolism-related gene signature for predicting prognosis and immunotherapy response in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a malignant lethal tumor and both cancer stem cells (CSCs) and metabolism reprogramming have been proven to play indispensable roles in HCC. This study aimed to reveal the connection between metabolism reprogramming and the stemness characteristics of HCC, established a new gene signature related to stemness and metabolism and utilized it to assess HCC prognosis and immunotherapy response. The clinical information and gene expression profiles (GEPs) of 478 HCC patients came from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA). The one-class logistic regression (OCLR) algorithm was employed to calculate the messenger ribonucleic acid expression-based stemness index (mRNAsi), a new stemness index quantifying stemness features. Differentially expressed analyses were done between high- and low-mRNAsi groups and 74 differentially expressed metabolism-related genes (DEMRGs) were identified with the help of metabolism-related gene sets from Molecular Signatures Database (MSigDB). After integrated analysis, a risk score model based on the three most efficient prognostic DEMRGs, including Recombinant Phosphofructokinase Platelet (PFKP), phosphodiesterase 2A (PDE2A) and UDP-glucuronosyltransferase 1A5 (UGT1A5) was constructed and HCC patients were divided into high-risk and low-risk groups. Significant differences were found in pathway enrichment, immune cell infiltration patterns, and gene alterations between the two groups. High-risk group patients tended to have worse clinical outcomes and were more likely to respond to immunotherapy. A stemness-metabolism-related model composed of gender, age, the risk score model and tumor-node-metastasis (TNM) staging was generated and showed great discrimination and strong ability in predicting HCC prognosis and immunotherapy response.

An immune-related biomarker index for predicting the effectiveness of immunotherapy and prognosis in hepatocellular carcinoma.

OBJECTIVE: Currently, there are no recognized biomarkers for predicting the immunotherapy response and prognosis of hepatocellular carcinoma (HCC). This study aimed to establish an immune-related gene prognostic index (IRGPI) for HCC, and to investigate the clinical, immune, molecular, and microenvironmental characteristics of the IRGPI subgroups, as well as their impact on the effectiveness of immune checkpoint inhibitors (ICIs) therapy and patients' prognosis. METHODS: We analyzed the LIHC dataset (n = 424) from the The Cancer Genome Atlas (TCGA) database and the GSE10140 dataset (n = 84) from the Gene Expression Omnibus (GEO) database using weighted gene co-expression network analysis (WGCNA) and univariate/multivariate Cox regression analysis to identify immune-related hub genes with prognostic significance. Subsequently, The IRGPI was then established with these special genes obtained, and the molecular, immune, and clinicopathological characteristics of the IRGPI subgroups, along with their predictive role in ICIs treatment and HCC prognosis, were investigated. RESULTS: The IRGPI was composed of nine genes, namely CHGA, GAL, CCR3, MMP7, STC1, UCN, OXT, SOCS2, and GCG. The IRGPI-high group exhibited a worse prognosis in both the TCGA and GEO databases compared to the IRGPI-low group. The IRGPI-high group was primarily associated with adaptive immune response and cell-cell interaction pathways and exhibited a higher frequency of gene mutations (such as TP53 and CTNNB1), higher expression of PD-L1 and CTLA4, a higher proportion of macrophages M0 and follicular helper T cells, and a higher APC_co_inhibition and T_cell_co-inhibition immune score. Furthermore, the IRGPI-high group was associated with worse immune subtypes, clinicopathological characteristics, immunotherapy response, and clinical prognosis. CONCLUSION: IRGPI is a biomarker with significant potential for predicting the immunotherapy response and prognosis of HCC patients, and is closely related to the immunosuppressive microenvironment and poorer clinicopathological characteristics.

Application and Progress of Cultured Models of Gallbladder Carcinoma.

Gallbladder carcinoma (GBC) is a malignant tumor of the biliary system that is aggressive, difficult to detect early, and has a low surgical resection rate and poor prognosis. Appropriate in vitro growth models are expected to focus on the study of the biological behavior and assess treatment effects. Nonetheless, cancer initiation, progression, and invasion include spatiotemporal changes and changes in the cell microenvironment intracellular communication, and intracellular molecules, making the development of in vitro growth models very challenging. Recent advances in biomaterial methods and tissue engineering, particularly advances in bioprinting procedures, have paved the way for advances in the creative phase of in vitro cancer research. To date, an increasing number of cultured models of gallbladder disease have emerged, such as two-dimensional (2D) GBC growth cell cultures, three-dimensional (3D) GBC growth cell cultures, xenograft models, and 3D bioprinting methods. These models can serve as stronger platforms, focusing on tumor growth initiation, the association with the microenvironment, angiogenesis, motility, aggression, and infiltration. Bioprinted growth models can also be used for high-throughput drug screening and validation, as well as translational opportunities for individual cancer therapy. This study focused on the exploration, progress, and significance of the development of GBC cultural models. We present our views on the shortcomings of existing models, investigate new innovations, and plan future improvements and application possibilities for cancer models.

Safety and Perioperative Outcomes of Laparoscopic vs. Open Hepatectomy of Central-Located Liver Lesions: A Multicenter, Propensity Score-Matched, Retrospective Cohort Study.

BACKGROUND: Short-term outcomes of laparoscopic hepatectomy of central-located liver lesions (LHCL) compared with traditional open hepatectomy of central-located liver lesions (OHCL) remain unclear. The aim of this study was to explore the safety and efficacy of LHCL. METHODS: A retrospective analysis was performed on 262 patients who underwent hepatectomies involving resections of liver segment II, IV or VIII from January 2015 to June 2021 in two institutions. Patients in the LHCL group were matched in a 1:2 ratio to patients in the OHCL group. RESULTS: After propensity score-matched (PSM) analysis, 61 patients remained in the LHCL group and 122 patients were in the OHCL group. What needs to be mentioned is that although not significant, patients in the OHCL group had increased lesion size (4.3 vs. 3.6 cm, p = 0.052), number (single/multiple, 84.8%/15.2% vs. 93.4%/6.6%, p = 0.097), and number of liver segments involved (one/two/three, 47.3%/42.0%/10.7% vs. 57.4%36.1%/10.7%, p = 0.393). To ensure surgical safety, fewer patients in the LHCL group underwent vascular exclusion than those in the OHCL group (p = 0.004). In addition, LHCL was associated with lower blood loss (p = 0.001) and transfusion requirement (p = 0.004). In terms of short-term outcomes, the LHCL group had significantly lower levels of peak ALT (p < 0.001), peak DBIL (p = 0.042), peak PT (p = 0.012), and higher levels of bottom ALB (p = 0.049). Moreover, the LHCL group demonstrated quicker postoperative recovery, which was represented by shorter time to first flatus, time to oral intake, time to drain off, and hospital stay (all p < 0.001). Importantly, the LHCL group had a significantly reduced occurrence of postoperative complications (p < 0.001) and similar R0 resection rates (p = 0.678) when compared to the OHCL group. CONCLUSION: LHCL is associated with increased safety and better perioperative outcomes and thus could be recommended for patients with central space-occupying liver lesions when appropriately selecting the surgical procedure according to the total tumor burden and carefully handled by experienced surgeons. From the experience of our center, LHCL could be performed to solitary lesion involving liver segment IV/V/VIII, <5 cm, with good safety and feasibility.

An ectopic adrenocortical oncocytic adenoma in the liver highly mimicking hepatocellular carcinoma: case report and literature review.

BACKGROUND: Ectopic adrenocortical tissue is a lesion usually found incidentally during autopsy or inguinal surgery. Here, we demonstrate an extremely unusual case of intrahepatic adrenocortical adenoma which highly mimicks hepatocellular carcinoma (HCC) and brings challenges for clinicians and pathologists. The diagnostic pitfalls have been discussed in detail to provide clues for guiding differential diagnosis and future treatment. CASE PRESENTATION: A 44-year-old man was admitted into our hospital for evaluation of a hepatic mass identified during routine examination. Enhanced CT revealed its margin displayed apparent enhancement in arterial phase, but hypointensity in portal and delayed phase. HCC was suspected and partial hepatectomy was performed. Microscopically, cells were arranged in solid sheets. Most of the tumor cells were large, polygonal, had prominent nucleoli and were rich in eosinophilic cytoplasm. Pleomorphic nucleus was frequently found. Focally, smaller cells were found with small nuclei and granular cytoplasm. Immunohistochemically, tumor cells were negative for Arg-1, glypican-3 (GPC3), hepatocyte specific antigen (HSA), and positive for synaptophysin (Syn), α-inhibin, and Melan A. The Ki-67 index was 1 %. The final diagnosis was ectopic adrenocortical oncocytic adenoma and the patient was uneventful after the surgery. CONCLUSION: Intrahepatic adrenocortical adenoma in the liver can hardly be diagnosed through radiology and little experience in pathology has been reported. In the present case, massive oncocytic changes and huge pleomorphism add greatly to the difficulties of making correct diagnosis. This lesion should be carefully kept in mind and a combination of markers is suggested for differentiating from HCC.

Mutational spectrum and precision oncology for biliary tract carcinoma.

Background: The genomic spectrum of biliary tract carcinoma (BTC) has been characterized and is associated with distinct anatomic and etiologic subtypes, yet limited studies have linked genomic alterations with personalized therapies in BTC patients. Methods: This study analyzed 803 patients with BTC:164 with gallbladder cancer, 475 with intrahepatic cholangiocarcinoma (ICC) and 164 with extrahepatic cholangiocarcinoma. We determined genomic alterations, mutational signatures related to etiology and histopathology and prognostic biomarkers. Personalized targeted therapies for patients harboring potentially actionable targets (PATs) were investigated. Results: The median tumor mutation burden (TMB) was 1.23 Mut/Mb, with 4.1% of patients having hypermutated BTCs. Unlike the results obtained from the Western population, the most frequently altered cancer-related genes in our cohort included TP53 (53%), KRAS (26%), ARID1A (18%), LRP1B (14%) and CDKN2A (14%). Germline mutations occurred mostly in DNA damage repair genes. Notably, 35.8% of the ICCs harbored aristolochic acid related signatures and an elevated TMB. TP53 and KRAS mutations and amplified 7q31.2 were demonstrated to negatively affect patient prognosis. Moreover, 19 genes were proposed to be PATs in BTCs, with 25.4% of patients harboring these PATs. Forty-six patients received PAT-matched targeted therapies, achieving a 26.1% objective response rate; the median progression-free survival (PFS) was 5.0 months, with 56.8% of patients obtaining PFS benefits. Conclusions: Extensive genomic diversity and heterogeneity were observed among BTC patients, with contributions according to potential etiology exposures, anatomical subtypes and clinicopathological characteristics. We also demonstrated that patients with refractory BTCs who have PATs can derive considerable benefit from receiving a matched therapy, initiating further prospective clinical trials guided by molecular profiling among this aggressive cancer.

CK20 and lymph node involvement predict adverse outcome of malignant intraductal papillary neoplasm of the bile duct.

OBJECTIVES: To identify prognostic factors of malignant intraductal papillary neoplasm of the bile duct (m-IPNB). MATERIALS AND METHODS: We included 38 consecutive cases which underwent surgical resection and diagnosed as IPNB with malignant component from January 2003 to January 2017. Clinicopathological variables were collected to conduct survival analysis and identify prognostic factors. RESULTS: The median overall survival (OS) of m-IPNB was 76.0 months, with 1-, 3-, and 5-year survival rates of 97.2%, 73.5%, and 59.8%, respectively. The median RFS was 48.0 months with 1-, 3-, and 5-year recurrence-free survival (RFS) rate was 83.2%, 59.8%, and 44.6%, respectively. Univariate analysis showed that elevation of carcinoembryonic antigen CEA, lymph node involvement, resection margin status, degree of periductal invasion, and positive expression of CK20 were associated with both OS and RFS of m-IPNB. After multivariate Cox models analysis, lymph node involvement and positive expression of CK20 were identified as independent prognostic factors for OS, while lymph node involvement and resection margin status were independent prognostic factors for RFS. The median OS of patients with m-IPNB involving lymphatic metastases and positive expression of CK20 was 27.0±8.8 months and 51.0±12.4 months, respectively. The median RFS of cases with lymph node involvement and R1 resection was 10.0±3.3 months and 25.0±6.9 months, respectively. However, there was no significant difference in OS or RFS between cases of pancreaticobiliary and intestinal subtype. CONCLUSIONS: Lymph node involvement and positive expression of CK20 are independent prognostic factors for shorter OS of m-IPNB, while patients with lymph node involvement and positive resection margin are at higher risk of tumor recurrence.

Preoperative neutrophil-lymphocyte and platelet-lymphocyte ratios as independent predictors of T stages in hilar cholangiocarcinoma.

Background: The purpose of this study was to evaluate the relationship between preoperative inflammatory markers (neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR)) and different American Joint Committee on Cancer (AJCC) T stages in patients with hilar cholangiocarcinoma. Methods: A total of 101 patients who underwent surgical treatment for hilar cholangiocarcinoma between 2003 and 2014 in Peking Union Medical College Hospital were retrospectively analyzed. Receiver-operating curves were used to calculate optimal cutoff values for the NLR and the PLR. Univariate and multivariate analyses were used to identify whether the NLR and PLR can independently predict different AJCC T stages. Results: Multivariate analysis showed that higher NLR and PLR independently predicted advanced AJCC T stages (OR 3.74, 95% CI 1.09-12.83, P=0.036; and OR 7.86, 95% CI 2.25-27.43, P=0.001, respectively). At a threshold of 2.75, the NLR was 75.9% sensitive and 66.7% specific for different AJCC T stages; at a threshold of 172.25, the PLR was 65.5% sensitive and 80.6% specific. Conclusion: Preoperative NLR and PLR can be used as independent predictors of different AJCC T stages in patients with hilar cholangiocarcinoma.