Combinatorial Gene Expression Profiling of Serum HULC, HOTAIR, and UCA1 lncRNAs to Differentiate Hepatocellular Carcinoma from Liver Diseases: A Systematic Review and Meta-Analysis.

Hepatocellular carcinoma (HCC) presents a significant global health challenge due to limited early detection methods, primarily relying on conventional approaches like imaging and alpha-fetoprotein (AFP). Although non-coding RNAs (ncRNAs) show promise as potential biomarkers in HCC, their true utility remains uncertain. We conducted a comprehensive review of 76 articles, analyzing 88 circulating lncRNAs in 6426 HCC patients. However, the lack of a standardized workflow protocol has hampered holistic comparisons across the literature. Consequently, we herein confined our meta-analysis to only a subset of these lncRNAs. The combined analysis of serum highly upregulated in liver cancer (HULC) gene expression with homeobox transcript antisense intergenic RNA (HOTAIR) and urothelial carcinoma-associated 1 (UCA1) demonstrated markedly enhanced sensitivity and specificity in diagnostic capability compared to traditional biomarkers or other ncRNAs. These findings could have substantial implications for the early diagnosis and tailored treatment of HCC.

Review of the Application of Dual Drug Delivery Nanotheranostic Agents in the Diagnosis and Treatment of Liver Cancer.

Liver cancer has high incidence and mortality rates and its treatment generally requires the use of a combination treatment strategy. Therefore, the early detection and diagnosis of liver cancer is crucial to achieving the best treatment effect. In addition, it is imperative to explore multimodal combination therapy for liver cancer treatment and the synergistic effect of two liver cancer treatment drugs while preventing drug resistance and drug side effects to maximize the achievable therapeutic effect. Gold nanoparticles are used widely in applications related to optical imaging, CT imaging, MRI imaging, biomarkers, targeted drug therapy, etc., and serve as an advanced platform for integrated application in the nano-diagnosis and treatment of diseases. Dual-drug-delivery nano-diagnostic and therapeutic agents have drawn great interest in current times. Therefore, the present report aims to review the effectiveness of dual-drug-delivery nano-diagnostic and therapeutic agents in the field of anti-tumor therapy from the particular perspective of liver cancer diagnosis and treatment.

NCCN Guidelines® Insights: Biliary Tract Cancers, Version 2.2023.

In 2023, the NCCN Guidelines for Hepatobiliary Cancers were divided into 2 separate guidelines: Hepatocellular Carcinoma and Biliary Tract Cancers. The NCCN Guidelines for Biliary Tract Cancers provide recommendations for the evaluation and comprehensive care of patients with gallbladder cancer, intrahepatic cholangiocarcinoma, and extrahepatic cholangiocarcinoma. The multidisciplinary panel of experts meets at least on an annual basis to review requests from internal and external entities as well as to evaluate new data on current and emerging therapies. These Guidelines Insights focus on some of the recent updates to the NCCN Guidelines for Biliary Tract Cancers as well as the newly published section on principles of molecular testing.

Analyzing the Role of Septin9 Gene Methylation in the Diagnosis and Treatment of Primary Liver Cancer in the Elderly.

Context: Because the early symptoms of primary hepatocellular carcinoma (PHC) aren't significant, it's difficult to diagnose it by routine inspection clinically, and if the lesion's diameter is small, less than 2.0 cm, false negatives can occur in pathological examinations. Researchers need to actively search for more diagnostic methods. Objective: The study intended to detect and analyze the value of plasma Septin9 gene methylation for the diagnosis and therapeutic monitoring of PHC in older adults. Design: The research team performed a prospective controlled study. Setting: The study took place at the First Hospital of Qiqihar, an Affiliated Qiqihar Hospital at Southern Medical University in Qiqihar, China. Participants: Participants were 32 patients with PHC and 28 with cholangiocarcinoma (CCA) who had been admitted to the hospital between January 2021 and July 2022 and 40 healthy individuals. Groups: The research team divided participants into three groups: (1) patients with PHC, the PHC group; (2) patients with CCA, the CCA group; and (3) healthy individuals, the control group. Outcome Measures: The research team: (1) determined the positive expression rate of Septin9 gene methylation; (2) measured liver function indicators-alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum total bilirubin (TBIL), direct bilirubin (DBIL), alkaline phosphatase (ALP), γ-glutamyl transpeptidase (GGT), albumin (ALB); and (3) measured tumor markers-alpha-fetoprotein (AFP), carbohydrate antigen (CA) 199, CA125, and CA153. The team also: (1) established a binary logistic regression model based on levels of GGT and plasma Septin9 gene methylation to analyze risk factors and diagnosis accuracy, (2) created a receiver operating characteristic (ROC) curve to analyze diagnostic values; and (3) during followup, analyzed the negative conversion rate of Septin9 gene methylation in participants. Results: The positive expression rate of Septin9 methylation in the PHC group was significantly lower than that that of the CCA group and significantly higher than that of the control group (P < .05). The PHC group's ALT, AST, TBIL, DBIL, ALP, and GGT were significantly higher than those of the control group but significantly lower than those of the CCA group (all P < .05). PHC group's ALB was significantly lower than that of the control group (P < .05). The PHC group's AFP, CA199, and CA125 were significantly higher than those of the control group, and the PHC group's CA199 and CA125 were significantly lower than those in the CCA group (all P < .05). The positive expression of Septin9 gene methylation and the high expression of GGT were risk factors for PHC (OR>1, P < .05). The AUC of the Septin9 gene methylation, the GGT level, and the combined detection of both variables (all AUC > 0.70), suggests that the variables have a diagnostic value in the detection of PHC, with the combined detection having the highest value. The negative conversion rate after surgery of Septin9 gene methylation was 87.10%, for 27 out of 31 participants in the PHC and CCA groups (χ2 = 29.405, P < .001). Conclusion: Plasma Septin9 gene methylation is a sensitive molecular marker for the diagnosis and therapeutic monitoring of older adults with PHC, and combined with the serum GGT level, has a high diagnostic efficiency, which may reflect the treatment status of patients.

Management of Hepatocellular Carcinoma: A Review.

Importance: Hepatocellular carcinoma (HCC) is the sixth most common malignancy and fourth leading cause of cancer-related death worldwide. Recent advances in systemic and locoregional therapies have led to changes in many guidelines regarding systemic therapy, as well as the possibility to downstage patients to undergo resection. This review examines the advances in surgical and medical therapies relative to multidisciplinary treatment strategies for HCC. Observations: HCC is a major health problem worldwide. The obesity epidemic has made nonalcoholic fatty liver disease a major risk factor for the development of HCC. Multiple societies, such as the American Association for the Study of Liver Diseases, the European Association for the Study of the Liver, the Asian Pacific Association for the Study of the Liver, and the National Comprehensive Cancer Network, provide guidelines for screening at-risk patients, as well as define staging systems to guide optimal treatment strategies. The Barcelona Clinic Liver Cancer staging system is widely accepted and has recently undergone updates with the introduction of new systemic therapies and stage migration. Conclusions and Relevance: The treatment of patients with HCC should involve a multidisciplinary approach with collaboration among surgeons, medical oncologists, radiation oncologists, and interventional radiologists to provide optimal care. Treatment paradigms must consider both tumor and patient-related factors such as extent of liver disease, which is a main driver of morbidity and mortality. The advent of more effective systemic and locoregional therapies has prolonged survival among patients with advanced disease and allowed some patients to undergo surgical intervention who would otherwise have disease considered unresectable.

Multiple Diagnostic Indicators in the Development of Chronic Hepatitis B, Liver Cirrhosis, and Liver Cancer.

Context: Hepatitis B can develop into cirrhosis, and most liver cancers evolve on the basis of chronic hepatitis and cirrhosis. Many patients are already at an advanced stage when diagnosed. In recent years, clinicians have advocated detection of liver cancer using multiple markers in combination to improve the sensitivity and specificity of testing. Objective: The study aimed to evaluate the clinical value of using four tumor indicators-urea, alpha L-fucosidase (AFU), carbohydrate antigen 153 (CA153), carbohydrate antigen 125 (CA125), and alpha fetoprotein (AFP) and comparing the use of combined indicators to use of a single indicator for the diagnosis of liver cancer. Design: The research team performed a prospective study. Setting: The study took place at Clinical Laboratory, Baoding People's Hospital, Baoding City, Hebei Province, China. Participants: Participants were 98 patients with chronic hepatitis B, who became the CHB group; 102 patients with liver cirrhosis, who became the cirrhosis group, and 100 patients with liver cancer, who became the liver cancer group. They all had been admitted to the hospital between March 2019 and March 2021. Outcome Measures: The research team measured the urea, AFU, CA153, CA125, and AFP levels of the three groups, constructed an ROC curve, and analyzed the diagnostic values of the indicators singly and in combination for liver cancer. Results: For the levels of urea, AFU, CA153, CA125, and AFP, the CHB group's levels were significantly lower than those of the cirrhosis and liver cancer groups (both P < .001), and the cirrhosis group's levels were significantly lower than those of the liver cancer group (P < .001). In the CHB group, the compensatory group's levels were significantly lower than those of the decompensated group (P < .05). In the cirrhosis group, no significant differences existed between the levels of the grade A and grade B groups (P < .001), between those of the grade A and grade C groups (P < .001), or between those of the grade B and grade C groups (P < .001). In the cirrhosis group, the levels of the no ascites group were significantly lower than those of the ascites group (P < .05). In the liver cancer group, the levels of the stage I-II group were significantly lower than those of the stage III and stage IV groups (both P < .05), and those of the stage IV group were significantly lower than those of the stage Ⅳ group (P < .05). The levels of the <5cm group were significantly lower than those of the ≥5cm group (P < .001). The value of using a combination of indicators for diagnosis was significantly higher than that of a single indicator (P < .001). Conclusions: Urea, AFU, CA153, CA125, and AFP all have diagnostic value in the evaluation of chronic hepatitis B-cirrhosis and liver cancer, with the highest efficacy, sensitivity and specificity from a combined test and diagnosis.

Hepatic Angiosarcoma with Peliosis Hepatis.

A 59-year-old woman presented to our hospital with liver dysfunction. Imaging revealed multiple lesions in the liver. The patient was diagnosed with peliosis hepatis using percutaneous and laparoscopic biopsies. However, her condition worsened with the appearance of new, obvious mass-forming lesions. Therefore, she underwent a second percutaneous biopsy of these lesions and was diagnosed with hepatic angiosarcoma. Her condition progressed rapidly, and she died two weeks after the diagnosis. Diagnosis of hepatic angiosarcoma in the early stages is difficult. It should be noted that hepatic angiosarcoma may be associated with the development of peliosis hepatis.

Early predictive value of circulating biomarkers for sorafenib in advanced hepatocellular carcinoma.

INTRODUCTION: Sorafenib is currently the first-line therapeutic regimen for patients with advanced hepatocellular carcinoma (HCC). However, many patients did not experience any benefit and suffered extreme adverse events and heavy economic burden. Thus, the early identification of patients who are most likely to benefit from sorafenib is needed. AREAS COVERED: This review focused on the clinical application of circulating biomarkers (including conventional biomarkers, immune biomarkers, genetic biomarkers, and some novel biomarkers) in advanced HCC patients treated with sorafenib. An online search on PubMed, Web of Science, Embase, and Cochrane Library was conducted from the inception to 15 August 2021. Studies investigating the predictive or prognostic value of these biomarkers were included. EXPERT OPINION: The distinction of patients who may benefit from sorafenib treatment is of utmost importance. The predictive roles of circulating biomarkers could solve this problem. Many biomarkers can be obtained by liquid biopsy, which is a less or noninvasive approach. The short half-life of sorafenib could reflect the dynamic changes of tumor progression and monitor the treatment response. Circulating biomarkers obtained from liquid biopsy resulted as a promising assessment method in HCC, allowing for better treatment decisions in the near future. ABBREVIATIONS: Alpha-fetoprotein (AFP); American Association for the Study of Liver Diseases (AASLD); Angiopoietin (Ang); Barcelona Clinic Liver Cancer stage (BCLC); Circulating endothelial progenitor (CEP); Circulating free DNA (cfDNA); Complete response (CR); Des-γ-carboxy prothrombin (DCP); Endothelium-derived nitric oxide synthase (eNOS); Hepatocellular carcinoma (HCC); Hepatocyte growth factor (HGF); Hepatoma arterial-embolization prognosis score (HAP); High mobility group box 1 (HMgb1); Interferon-gamma (IFN-γ); Long non-coding RNA (lncRNAs); Micro RNAs (miRNAs); Monocyte-to-lymphocyte ratio (MLR); National Comprehensive Cancer Network (NCCN); Neutrophil-lymphocyte ratio (NLR); Newcastle-Ottawa Scale (NOS); Nitric oxide (NO); Overall survival (OS); Partial response (PR); Platelet-lymphocyte ratio (PLR); Prediction of survival in advanced sorafenib-treated HCC (PROSASH); Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA); Prognostic nutritional index (PNI); Progression-free survival (PFS); Progressive disease (PD); Randomized controlled trials (RCTs); Response Evaluation Criteria in Solid Tumors (RECIST); Single nucleotide polymorphisms (SNPs); Sorafenib advanced HCC prognosis score (SAP); Stable disease (SD); Time to progression (TTP); Transcatheter arterial chemoembolization (TACE); Vascular endothelial growth factor (VEGF).

Research on Classification of Primary Liver Cancer Syndrome Based on Data Mining Technology.

This study is based on the analysis of the status quo of the research on liver cancer syndromes, starting with the clinical objective and true four-diagnosis information of TCM inpatients with primary liver cancer, using computer data mining technology to analyze and summarize the syndrome rules from the bottom to the top. Let the data itself show the essence of liver cancer syndrome. First, with the help of hierarchical cluster analysis, we can understand the general characteristics through the rough preliminary classification of the four-diagnosis information of liver cancer patients. Then, with the help of the emerging and mature hidden structure model analysis in recent years, through data modeling, the classification of common syndromes of liver cancer and the corresponding relationship with the four-diagnosis information are comprehensively analyzed. Finally, considering the inherent shortcomings of implicit structure and hierarchical clustering based on the assumption that there is a unique one-to-one correspondence between the four diagnostic information factors and the class (or hidden class) when classifying, we plan to use factor analysis and joint cluster analysis, as supplementary means to further explore the classification of liver cancer syndromes and the corresponding relationship with the four-diagnosis information.

Bioinformatics screening the novel and promising targets of curcumin in hepatocellular carcinoma chemotherapy and prognosis.

BACKGROUND: The aim of present study was to screen the novel and promising targets of curcumin in hepatocellular carcinoma diagnosis and chemotherapy. METHODS: Potential targets of curcumin were screened from SwissTargetPrediction, ParmMapper and drugbank databases. Potential aberrant genes of hepatocellular carcinoma were screened from Genecards databases. Fifty paired hepatocellular carcinoma patients' gene expression profiles from the GEO database were used to test potential targets of curcumin. Besides, GO analysis, KEGG pathway enrichment analysis and PPI network construction were used to explore the underlying mechanism of candidate hub genes. ROC analysis and Kaplan-Meier analysis were used to evaluate the diagnostic and prognostic value of candidate hub genes, respectively. Real-time PCR was used to verify the results of bioinformatics analysis. RESULTS: Bioinformatics analysis results suggested that AURKA, CDK1, CCNB1, TOP2A, CYP2B6, CYP2C9, and CYP3A4 genes served as candidate hub genes. AURKA, CDK1, CCNB1 and TOP2A were significantly upregulated and correlated with poor prognosis in hepatocellular carcinoma, AUC values of which were 95.7, 96.9, 98.1 and 96.1% respectively. There was not significant correlation between the expression of CYP2B6 and prognosis of hepatocellular carcinoma, while CYP2C9 and CYP3A4 genes were significantly downregulated and correlated with poor prognosis in hepatocellular carcinoma. AUC values of CYP2B6, CYP2C9, and CYP3A4 were 96.0, 97.0 and 88.0% respectively. In vitro, we further confirmed that curcumin significantly downregulated the expression of AURKA, CDK1, and TOP2A genes, while significantly upregulated the expression of CYP2B6, CYP2C9, and CYP3A4 genes. CONCLUSIONS: Our results provided a novel panel of AURKA, CDK1, TOP2A, CYP2C9, and CYP3A4 candidate genes for curcumin related chemotherapy of hepatocellular carcinoma.

Metastatic Liver Tumors in Surgical Pathology: Impact of Contemporary Diagnostic and Therapeutic Paradigms in a Tertiary Care Center.

We analyzed metastatic liver tumors received in the department of pathology in a tertiary care center over a 3-year period. There were 509 metastatic liver tumors; counterintuitively, there were as many resections (235 cases) as biopsies (274 cases). This unexpected finding reflects contemporaneous organ-specific paradigms for diagnosis and management of metastatic liver disease in oncologic practice, and the association of our practice with a National Cancer Institute-designated comprehensive cancer center with expertise and specialization in liver surgery. We receive a large number of resections for metastatic liver tumors because metastasectomy from a variety of primary tumors is associated with improved overall, and in many instances, disease-free, long-term survival. Metastatic colorectal carcinomas, metastatic neuroendocrine tumors, and metastatic gastrointestinal stromal tumors constituted 78% of resections because the largest body of literature and cumulative experience exists for these lesions. In contrast, breast carcinomas and pancreatic carcinomas, which are the next common metastatic liver tumors were biopsied but rarely resected, because metastasectomy is not the standard of care for these tumors. Immunohistochemistry was performed in less than a quarter of the total number of cases (23%), because the primary tumor site was known in the vast majority of cases. Of the 42 cases with unknown primary tumor, it was elucidated in 50% of the cases by immunohistochemical and clinical work-up. Of the cases with known primary tumor, immunohistochemistry was performed mostly in metastatic breast, colon, and lung carcinomas. In these cases, biomarker analyses provided additional information relevant to clinical management.

Baseline Interleukin-6 and -8 predict response and survival in patients with advanced hepatocellular carcinoma treated with sorafenib monotherapy: an exploratory post hoc analysis of the SORAMIC trial.

PURPOSE: To explore the potential correlation between baseline interleukin (IL) values and overall survival or objective response in patients with hepatocellular carcinoma (HCC) receiving sorafenib. METHODS: A subset of patients with HCC undergoing sorafenib monotherapy within a prospective multicenter phase II trial (SORAMIC, sorafenib treatment alone vs. combined with Y90 radioembolization) underwent baseline IL-6 and IL-8 assessment before treatment initiation. In this exploratory post hoc analysis, the best cut-off points for baseline IL-6 and IL-8 values predicting overall survival (OS) were evaluated, as well as correlation with the objective response. RESULTS: Forty-seven patients (43 male) with a median OS of 13.8 months were analyzed. Cut-off values of 8.58 and 57.9 pg/mL most effectively predicted overall survival for IL-6 and IL-8, respectively. Patients with high IL-6 (HR, 4.1 [1.9-8.9], p < 0.001) and IL-8 (HR, 2.4 [1.2-4.7], p = 0.009) had significantly shorter overall survival than patients with low IL values. Multivariate analysis confirmed IL-6 (HR, 2.99 [1.22-7.3], p = 0.017) and IL-8 (HR, 2.19 [1.02-4.7], p = 0.044) as independent predictors of OS. Baseline IL-6 and IL-8 with respective cut-off values predicted objective response rates according to mRECIST in a subset of 42 patients with follow-up imaging available (IL-6, 46.6% vs. 19.2%, p = 0.007; IL-8, 50.0% vs. 17.4%, p = 0.011). CONCLUSION: IL-6 and IL-8 baseline values predicted outcomes of sorafenib-treated patients in this well-characterized prospective cohort of the SORAMIC trial. We suggest that the respective cut-off values might serve for validation in larger cohorts, potentially offering guidance for improved patient selection.

Simple Scoring System for Predicting TACE Unsuitable among Intermediate-Stage Hepatocellular Carcinoma Patients in the Multiple Systemic Treatment Era.

BACKGROUND/AIM: With the development of systemic treatment methods for unresectable hepatocellular carcinoma (uHCC), the concept of unsuitable for transcatheter arterial chemoembolization (TACE) has become important. This study aimed to establish a simple predictive scoring system for determining TACE unsuitable status. MATERIALS/METHODS: From 1998 to 2015, 196 patients with intermediate-stage uHCC with Child-Pugh A (score 5:6 = 108:88) and given TACE as the initial treatment were enrolled. At the baseline, tumor burden (Milan criteria-out, up-to-7 in/out, and up-to-11 in/out: 0-2 points) and modified albumin-bilirubin grade 1/2a or 2b (0-1 point) were added to determine the score for TACE unsuitable (CITRUS-MICAN score; low <2 and high ≥2). In addition, a previously reported tumor marker (TM) score, in which alpha-fetoprotein (AFP) was ≥100 ng/mL, fucosylated AFP ≥10%, and des-gamma-carboxy prothrombin ≥100 mAU/mL (each 1 point) (total 0, 1, or ≥2 points), was used for additionally evaluating tumor malignancy potential. Prognosis was retrospectively evaluated based on those scores. RESULTS: Median survival time (MST) was better for low compared to high CITRUS-MICAN score (42.0 vs. 26.4 months) (p = 0.002). A 2-step evaluation using the combination of CITRUS-MICAN and TM scores showed an MST of 43.2 months for low CITRUS-MICAN/TM score 0/1 (rank-A) and 39.6 months for low CITRUS-MICAN/TM score ≥2 (rank-B2), while it was 46.8 months for high CITRUS-MICAN/TM score 0 (rank-B1), 28.8 months for high CITRUS-MICAN/TM score 1 (rank-B2), and 22.8 months for high CITRUS-MICAN/TM score ≥2 (rank-C). For rank-A cases (n = 51), MST was 43.2 months, while it was 46.8 months for rank-B1 (n = 12), 31.2 months for rank-B2 (n = 82), and 22.8 months for rank-C (n = 51) (p = 0.001). CONCLUSION: The results showed that rank-C indicates absolute TACE unsuitable status. For rank-A patients, good prognosis with TACE can be expected, while TACE refractoriness status during the clinical course should be carefully evaluated so as to anticipate the appropriate timing for switching to systemic treatment in rank-B1 and -B2 patients.

Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer.

OBJECTIVE: By optimizing the extreme learning machine network with particle swarm optimization, we established a syndrome classification and prediction model for primary liver cancer (PLC), classified and predicted the syndrome diagnosis of medical record data for PLC and compared and analyzed the prediction results with different algorithms and the clinical diagnosis results. This paper provides modern technical support for clinical diagnosis and treatment, and improves the objectivity, accuracy and rigor of the classification of traditional Chinese medicine (TCM) syndromes. METHODS: From three top-level TCM hospitals in Nanchang, 10,602 electronic medical records from patients with PLC were collected, dating from January 2009 to May 2020. We removed the electronic medical records of 542 cases of syndromes and adopted the cross-validation method in the remaining 10,060 electronic medical records, which were randomly divided into a training set and a test set. Based on fuzzy mathematics theory, we quantified the syndrome-related factors of TCM symptoms and signs, and information from the TCM four diagnostic methods. Next, using an extreme learning machine network with particle swarm optimization, we constructed a neural network syndrome classification and prediction model that used "TCM symptoms + signs + tongue diagnosis information + pulse diagnosis information" as input, and PLC syndrome as output. This approach was used to mine the nonlinear relationship between clinical data in electronic medical records and different syndrome types. The accuracy rate of classification was used to compare this model to other machine learning classification models. RESULTS: The classification accuracy rate of the model developed here was 86.26%. The classification accuracy rates of models using support vector machine and Bayesian networks were 82.79% and 85.84%, respectively. The classification accuracy rates of the models for all syndromes in this paper were between 82.15% and 93.82%. CONCLUSION: Compared with the case of data processed using traditional binary inputs, the experiment shows that the medical record data processed by fuzzy mathematics was more accurate, and closer to clinical findings. In addition, the model developed here was more refined, more accurate, and quicker than other classification models. This model provides reliable diagnosis for clinical treatment of PLC and a method to study of the rules of syndrome differentiation and treatment in TCM.

Lenvatinib versus sorafenib for first-line treatment of unresectable hepatocellular carcinoma: patient-reported outcomes from a randomised, open-label, non-inferiority, phase 3 trial.

BACKGROUND: Hepatocellular carcinoma is the third-leading cause of cancer-related death worldwide. Preservation of health-related quality of life (HRQOL) during treatment is an important therapeutic goal. The aim of this study was to evaluate the effect of treatment with lenvatinib versus sorafenib on HRQOL. METHODS: REFLECT was a previously published multicentre, randomised, open-label, non-inferiority phase 3 study comparing the efficacy and safety of lenvatinib versus sorafenib as a first-line systemic treatment for unresectable hepatocellular carcinoma. Eligible patients were aged 18 years or older with unresectable hepatocellular carcinoma and one or more measurable target lesion per modified Response Evaluation Criteria in Solid Tumors criteria, Barcelona Clinic Liver Cancer stage B or C categorisation, Child-Pugh class A, Eastern Cooperative Oncology Group (ECOG) performance status of 1 or lower, and adequate organ function. Patients were randomly assigned (1:1) via an interactive voice-web response system; stratification factors for treatment allocation included region; macroscopic portal vein invasion, extrahepatic spread, or both; ECOG performance status; and bodyweight. Patient-reported outcomes (PROs), collected at baseline, on day 1 of each subsequent cycle, and at the end of treatment, were evaluated in post-hoc analyses of secondary and exploratory endpoints in the analysis population, which was the subpopulation of patients with a PRO assessment at baseline. A linear mixed-effects model evaluated change from baseline in PROs, including European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30) and hepatocellular carcinoma-specific QLQ-HCC18 scales (both secondary endpoints of the REFLECT trial). Time-to-definitive-deterioration analyses were done based on established thresholds for minimum differences for worsening in PROs. Responder analyses explored associations between HRQOL and clinical response. This study is registered with ClinicalTrials.gov, NCT01761266. FINDINGS: Of 954 eligible patients randomly assigned to lenvatinib (n=478) or sorafenib (n=476) between March 14, 2013, and July 30, 2015, 931 patients (n=468 for lenvatinib; n=463 for sorafenib) were included in this analysis. Baseline PRO scores reflected impaired HRQOL and functioning and considerable symptom burden relative to full HRQOL. Differences in overall mean change from baseline estimates in most PRO scales generally favoured the lenvatinib over the sorafenib group, although the differences were not nominally statistically or clinically significant. Patients treated with lenvatinib experienced nominally statistically significant delays in definitive, meaningful deterioration on the QLQ-C30 fatigue (hazard ratio [HR] 0·83, 95% CI 0·69-0·99), pain (0·80, 0·66-0·96), and diarrhoea (0·52, 0·42-0·65) domains versus patients treated with sorafenib. Significant differences in time to definitive deterioration were not observed for other QLQ-C30 domains, and there was no difference in time to definitive deterioration on the global health status/QOL score (0·89, 0·73-1·09). For most PRO scales, differences in overall mean change from baseline estimates favoured responders versus non-responders. Across all scales, HRs for time to definitive deterioration were in favour of responders; median time to definitive deterioration for responders exceeded those for non-responders by a range of 4·8 to 14·6 months. INTERPRETATION: HRQOL for patients undergoing treatment for unresectable hepatocellular carcinoma is an important therapeutic consideration. The evidence of HRQOL benefits in clinically relevant domains support the use of lenvatinib compared with sorafenib to delay functional deterioration in advanced hepatocellular carcinoma. FUNDING: Eisai and Merck Sharp & Dohme.

Significance of liver resection for intermediate stage hepatocellular carcinoma according to subclassification.

BACKGROUND: Patients diagnosed with Barcelona Clinic Liver Cancer (BCLC) intermediate stage hepatocellular carcinoma (HCC) encompass a broad clinical population. Kinki criteria subclassifications have been proposed to better predict prognoses and determine appropriate treatment strategies for these patients. This study validated the prognostic significance within the Kinki criteria substages and analyzed the role of liver resection in patients with intermediate stage HCC. METHODS: Patients with intermediate stage HCC (n = 378) were retrospectively subclassified according to the Kinki criteria (B1, n = 123; B2, n = 225; and B3, n = 30). We analyzed the overall survival (OS) and treatment methods. RESULTS: The OS was significantly different between adjacent substages. Patients in substage B1 who underwent liver resection had a significantly better prognosis than those who did not, even after propensity score matching (PSM). Patients in substage B2 who underwent liver resection had a significantly better prognosis than those who did not; however, there was no difference after PSM. There was no difference in prognosis based on treatments among patients in substage B3. CONCLUSIONS: The Kinki criteria clearly stratify patients with intermediate stage HCC by prognosis. For substage B1 HCC patients, liver resection provides a better prognosis than other treatment modalities. In patients with substage B2 and B3, an alternative approach is required.

Systemic immune-inflammation index predicts prognosis of sequential therapy with sorafenib and regorafenib in hepatocellular carcinoma.

BACKGROUND: Regorafenib has shown promising results as a second-line therapy for patients with hepatocellular carcinoma (HCC) who progressed on sorafenib. Although there have been several data regarding the efficacy of sequential therapy with sorafenib and that of regorafenib in real-life, specific inflammation markers for predicting the prognosis have not been studied. This study aimed to investigate prognostic value of systemic inflammatory markers in patients with HCC who received sorafenib-regorafenib sequential therapy. METHODS: We retrospectively analyzed medical data of patients who received regorafenib for the treatment of HCC after sorafenib failure. Progression free survival (PFS) and overall survival (OS) were assessed using the Kaplan-Meier survival curves. Univariate and multivariate analyses were performed to analyze the factors associated with survival. RESULTS: A total of 58 patients who received at least one dose of regroafenib and fulfilled the eligibility criteria, good performance status (Eastern Cooperative Oncology Group [ECOG] 0-1) and preserved liver function (Child-Pugh-A), were included in the analysis. The median PFS was 3 months (95% confidence interval [CI] = 0.981-5.019) and the median OS was 8 months (95% CI = 5.761-10.239). Elevated systemic immune-inflammation index (SII ≥340) was independently associated with poor OS. In multivariate analysis, the SII (hazard ratio [HR] = 2.211, 95% CI = 1.089-4.489, P = 0.028) and alpha-fetoprotein (AFP) (HR = 2.750, 95% CI = 1.259-6.010, P = 0.011) were independent predictors of OS. CONCLUSION: Elevated SII is associated with poor OS in patients with HCC who received sequential therapy with sorafenib and regorafenib. In addition, when selecting a treatment strategy, the SII can be used in combination with the AFP level as a promising prognostic tool for HCC.

Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma.

Hepatitis C virus-associated HCC (HCV-HCC) is a prevalent malignancy worldwide and the molecular mechanisms are still elusive. Here, we screened 240 differentially expressed genes (DEGs) of HCV-HCC from Gene expression omnibus (GEO) and the Cancer Genome Atlas (TCGA), followed by weighted gene coexpression network analysis (WGCNA) to identify the most significant module correlated with the overall survival. 10 hub genes (CCNB1, AURKA, TOP2A, NEK2, CENPF, NUF2, CDKN3, PRC1, ASPM, RACGAP1) were identified by four approaches (Protein-protein interaction networks of the DEGs and of the significant module by WGCNA, and diagnostic and prognostic values), and their abnormal expressions, diagnostic values, and prognostic values were successfully verified. A four hub gene-based prognostic signature was built using the least absolute shrinkage and selection operator (LASSO) algorithm and a multivariate Cox regression model with the ICGC-LIRI-JP cohort (N =112). Kaplan-Meier survival plots (P = 0.0003) and Receiver Operating Characteristic curves (ROC = 0.778) demonstrated the excellent predictive potential for the prognosis of HCV-HCC. Additionally, upstream regulators including transcription factors and miRNAs of hub genes were predicted, and candidate drugs or herbs were identified. These findings provide a firm basis for the exploration of the molecular mechanism and further clinical biomarkers development of HCV-HCC.

C1orf61 promotes hepatocellular carcinoma metastasis and increases the therapeutic response to sorafenib.

C1orf61 is a specific transcriptional activator that is highly up-regulated during weeks 4-9 of human embryogenesis, the period in which most organs develop. We have previously demonstrated that C1orf61 acts as a tumor activator in human hepatocellular carcinoma (HCC) tumorigenesis and metastasis. However, the underlying molecular mechanisms of tumor initiation and progression in HCC remain obscure. In this study, we demonstrated that the pattern of C1orf61 expression was closely correlated with metastasis in liver cancer cells. Gene expression profiling analysis indicated that C1orf61 regulated diverse genes related to cell growth, migration, invasion and epithelial-mesenchymal transition (EMT). Results showed that C1orf61 promotes hepatocellular carcinoma metastasis by inducing cellular EMT in vivo and in vitro. Moreover, C1orf61-induced cellular EMT and migration are involved in the activation of the STAT3 and Akt cascade pathways. In addition, C1orf61 expression improved the efficacy of the anticancer therapy sorafenib in HCC patients. For the first time, we report a regulatory pathway by which C1orf61 promoted cancer cell metastasis and regulated the therapeutic response to sorafenib. These findings increased our understanding of the molecular events that regulate metastasis and treatment in HCC.