Marker For Hepatocellular Carcinoma Research Articles

Role of insulin-like growth factor, pro-inflammatory and anti-inflammatory cytokines, transcription factors and adipokines in development of hepatocellular carcinoma in metabolic syndrome

Conflicting data on the role of the metabolic syndrome (MS) in the development of hepatocellular carcinoma (HCC) require studies on the influence of molecular factors that are important in the development of HCC in MS, which was the goal of our review. Publications (scientific articles and reviews) over the past 10 years were studied and analyzed using the databases Web of Science, Scopus, PubMed, RSCI. The terms used for the search were “metabolic syndrome and non-alcoholic fatty liver disease”, “metabolic syndrome and non-alcoholic steatohepatitis”, “metabolic syndrome and hepatocellular carcinoma”. The total number of publications studied in all databases exceeded 570 units, while the review presents the most significant results at the present stage. Insulin resistance and obesity, through the development of a systemic chronic inflammatory state, lead to increased inflammation and fibrosis in the liver, which are prodromal signs of hepatocarcinogenesis, increase the production of insulin-like growth factor-1 and disrupt the regulation of the insulin-like growth factor pathway. People with HCC have been shown to overexpress IGF-2. IGF-binding proteins, due to the reduced bioavailability of free IGF-1 and IGF-2 in the circulation, are able to inhibit the growth of HCC. In MS, a pro-inflammatory state is detected, which is caused by the production of cytokines by adipocytes (IL-6, IL-8, IL-1β, tumor necrosis factor α (TNFα), VEGF and chemokine ligands 2 and 5), which recruit immune cells, promoting angiogenesis and enhancing chronic inflammation. Transcription factors (PPAR) are involved in hepatocarcinogenesis, the significance of different factors is not fully understood. Leptin has a positive prognostic value in HCC, improving overall survival, and visfatin has a negative effect on hepatocarcinogenesis. Activation of PAI-1 inhibits the progression of HCC through PPARγ stimulation. Adiponectin may be a prognostic marker in HCC, with a lower serum concentration positively correlated with worse prognosis.

The outcomes and prognostic factors of patients with hepatocellular carcinoma and normal serum alpha fetoprotein levels

Alpha fetoprotein (AFP) is the most widely used tumor marker for hepatocellular carcinoma (HCC). Nevertheless, few studies have investigated the prognostic factors of HCC patients with normal serum AFP levels. We retrospectively enrolled 2198 patients with HCC and normal serum AFP levels (<20ng/mL) from 2007 to 2020. Overall survival (OS) rates were calculated by the Kaplan-Meier method, and analyses of the prognostic factors were performed using a Cox proportional hazard model. Among the enrolled patients, 1385 (63%) patients were in the low-normal AFP group (serum AFP levels ≤7ng/mL), and 813 (37%) patients were in the high-normal AFP group (serum AFP levels between 7 and 20ng/mL). The high-normal AFP group had poorer liver functional reserve, more multiple tumors, and smaller tumor size compared to those in the low-normal AFP group. After a median follow-up of 32.4 months, 942 patients died, and the 5-year OS rate was 54.4%. The 5-year OS rates were 57.4% and 49.8% in the low-normal AFP group and high-normal AFP group, respectively (p=0.001). A multivariate analysis showed the independent prognostic factors of poor OS were no anti-viral therapy, advanced albumin-bilirubin grades, the presence of vascular invasion, tumor size ≥5cm, and non-curative treatment modalities. Serum AFP levels were not associated with OS according to the multivariate analysis. Liver functional reserve, anti-viral therapy, tumor size, vascular invasion, and treatment modalities, determined the outcomes of HCC patients with normal serum AFP levels, but serum AFP levels did not.

Long-Term Results of Proton Therapy for Hepatocellular Carcinoma Using Four-Dimensional Computed Tomography Planning without Fiducial Markers.

We report here the long-term results of marker-less respiratory-gated proton therapy (PT), without fiducial markers for hepatocellular carcinoma (HCC), which was planned using a four-dimensional computed tomography technique. Local tumor control (LTC) and overall survival (OS) were estimated using the Kaplan-Meier method. Toxicity was graded per CTCAE v5.0. Patients (n = 105; median age 73 years, range 38-90 years) with 128 lesions were treated. The median radiation dose was 66 gray relative biological effectiveness (GyRBE) (range, 52.8-82.5 GyRBE) delivered in 2.0 to 6.6 GyRBE fractions, depending on lesion volume, the involved liver, and the patient's condition. The median follow-up of surviving patients was 63 months (range, 1-126 months), and the 5-year LTC and OS rates were 93.2% and 40.4%, respectively. Univariate and multivariate analyses identified tumors near the gastrointestinal tract as an independent risk factor for local recurrence and revealed that hepatic reserve, tumor stage, performance status, operability, sex, and portal vein thrombosis were independent risk factors for OS. Acute and late treatment-related grade 3 toxicities were experienced by eight patients (7.6%). Adverse events ≥ grade 4 were not evident. Marker-less respiratory-gated PT for HCC is a safe and effective treatment without severe complications.

P14.5 functions to inhibit cell migration and can be used as a prognostic marker in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy with a high mortality rate. P14.5 is a member of the highly conserved YER057c/YIL051c/YjgF subfamily and is highly expressed in the liver. However, its low expression is associated with carcinogenesis in HCC. This study aimed to investigate the role and prognostic significance of P14.5 in HCC. The clinical significance of P14.5 in HCC was examined using ONCOMINE, UALCAN, Human Protein Atlas, and Kaplan-Meier plotter. The DNA methylation profile of the P14.5 promoter was examined in 103 HCC and paired precancerous tissues; the HCC cell lines HepG2, MHCC-97L, SMMC-7721, SK-Hep-1, and Huh7; and the normal hepatic cell line HL-7702 via MALDI-TOF mass spectrometry. In addition, in vitro experiments were performed to examine the effects of P14.5 overexpression on the proliferation and migration of SMMC-7721 cells. Low expression of P14.5 was correlated with shorter overall survival (OS) and disease-free survival (DFS) in HCC. Based on the results of MALDI-TOF mass spectrometry, no difference was observed in the methylation level between HCC cells and normal human hepatic cells and between HCC and paired precancerous tissues. Additionally, P14.5overexpression promoted the proliferation and inhibited the migration of SMMC7721 cells in vitro. P14.5 may serve as a prognostic biomarker in HCC and plays a role in the migration and proliferation of HCC cells. Low expression of P14.5 during hepatocarcinogenesis is not attributed to DNA methylation.

Diagnostic role of tumor markers for hepatocellular carcinoma in liver transplantation candidates: an analysis using Korean Organ Transplantation Registry database

Shin Hwang, Woo-Hyoung Kang, Jong Man Kim, Kwang-Woong Lee, Dong Jin Joo, Young Kyoung You, Je Ho Ryu, Bong-Wan Kim, Donglak Choi, Dong-Sik Kim. Korean J Transplant 2022;36:36. https://doi.org/10.4285/ATW2022.F-1344

Identification and validation of core genes as promising diagnostic signature in hepatocellular carcinoma based on integrated bioinformatics approach

The primary objective of this investigation was to determine the hub genes of hepatocellular carcinoma (HCC) through an in silico approach. In the current context of the increased incidence of liver cancers, this approach could be a useful prognostic biomarker and HCC prevention target. This study aimed to examine hub genes for immune cell infiltration and their good prognostic characteristics for HCC research. Human genes selected from databases (Gene Cards and DisGeNET) were used to identify the HCC markers. Further, classification of the hub genes from communicating genes was performed using data derived from the targets' protein–protein interaction (PPI) platform. The expression as well as survival studies of all these selected genes were validated by utilizing databases such as GEPIA2, HPA, and immune cell infiltration. Based on the studies, five hub genes (TP53, ESR1, AKT1, CASP3, and JUN) were identified, which have been linked to HCC. They may be an important prognostic biomarker and preventative target of HCC. In silico analysis revealed that out of five hub genes, the TP53 and ESR1 hub genes potentially act as key targets for HCC prevention and treatment.

Ficolin-2: A potential immune-related therapeutic target with low expression in liver cancer

This study aimed to investigate the role of ficolin-2 (FCN2) in the development and course of hepatocellular carcinoma (HCC) and to contribute to the evolution of innovative HCC therapeutics. Oncomine, GEPIA (Gene Expression Profiling Interactive Analysis), TISIDB (Tumor Immune System Interactions and Drug Bank database), UALCAN (University of Alabama at Birmingham Cancer data analysis portal), UCSC (University of California, Santa Cruz), R package, the Kaplan-Meier technique, Cox regression analysis, LinkedOmics, Pearson's correlation, and a nomogram were used to investigate the prognostic value of FCN2 in HCC. Co-expressed genes were screened. A protein-protein interaction network was created using the STRING database. Finally, immunohistochemistry was performed to establish the expression of FCN2 in HCC tissues. A pan-cancer study centered on HCC-related molecular analysis was also conducted to look for a link between FCN2 and immune infiltration, immune modulators, and chemokine receptors. In HCC tissues, the expression of FCN2 was observed to be lower than that in normal tissues. This was connected to the HCC marker alpha-fetoprotein, showing that FCN2 is involved in the development and progression of cancer. FCN2 may act through Staphylococcus aureus infection, lectins, and other pathways. Furthermore, at the immune level, the expression of FCN2 in HCC was associated with some immune cell infiltration, immunomodulators, and chemokine receptors. FCN2 may be an immune checkpoint inhibitor for HCC, creating a breakthrough in the treatment of HCC.

Custom gene expression panel for evaluation of potential molecular markers in hepatocellular carcinoma

BackgroundHepatocellular carcinoma (HCC) is the second leading cause of cancer-related mortality worldwide. It is a highly heterogeneous disease with poor prognosis and limited treatment options, which highlights the need for reliable biomarkers. This study aims to explore molecular markers that allow stratification of HCC and may lead to better prognosis and treatment prediction.Materials and methodsWe studied 20 candidate genes (HCC hub genes, potential drug target genes, predominant somatic mutant genes) retrieved from literature and public databases with potential to be used as the molecular markers. We analysed expression of the genes by RT-qPCR in 30 HCC tumour and adjacent non-tumour paired samples from Vietnamese patients. Fold changes in expression were then determined using the 2−∆∆CT method, and unsupervised hierarchical clustering was generated using Cluster v3.0 software.ResultsClustering of expression data revealed two subtypes of tumours (proliferative and normal-like) and four clusters for genes. The expression profiles of the genes TOP2A, CDK1, BIRC5, GPC3, IGF2, and AFP were strongly correlated. Proliferative tumours were characterized by high expression of the c-MET, ARID1A, CTNNB1, RAF1, LGR5, and GLUL1 genes. TOP2A, CDK1, and BIRC5 HCC hub genes were highly expressed (> twofold) in 90% (27/30), 83% (25/30), and 83% (24/30) in the tissue samples, respectively. Among the drug target genes, high expression was observed in the GPC3, IGF2 and c-MET genes in 77% (23/30), 63% (19/30), and 37% (11/30), respectively. The somatic mutant Wnt/ß-catenin genes (CTNNB1, GLUL and LGR5) and TERT were highly expressed in 40% and 33% of HCCs, respectively. Among the HCC marker genes, a higher percentage of tumours showed GPC3 expression compared to AFP expression [73% (23/30) vs. 43% (13/30)].ConclusionThe custom panel and molecular markers from this study may be useful for diagnosis, prognosis, biomarker-guided clinical trial design, and prediction of treatment outcomes.

LncRNA SNHG6 promotes glycolysis reprogramming in hepatocellular carcinoma by stabilizing the BOP1 protein

ABSTRACT Metabolic reprogramming is an important feature in tumor progression. Long noncoding RNA’s (lncRNA) small nucleolar RNA host gene 6 (SNHG6) acts as a proto-oncogene in hepatocellular carcinoma (HCC) but its role in glycolysis is mostly unknown. The role of SNHG6 and Block of proliferation 1 (BOP1) on glycolysis is assessed by glucose uptake, lactate production, oxygen consumptive rate (OCR) and extracellular acidification rate (ECAR) and glycolytic enzyme levels. The regulatory effect of SNHG6 on BOP1 protein was confirmed by Western blotting, MS2 pull-down, RNA pull-down, and RIP assay. SNHG6 and BOP1 levels were increased in HCC tissues and cells. SNHG6 and BOP1 were prognostic factors in HCC patients and significantly correlated to TP53 mutant and tumor grade. SNHG6 promoted proliferation, inhibited apoptosis, enhanced glucose uptake and lactate production, decreased OCR, and increased ECAR in HCC cell lines. SNHG6 could bind the BOP1 protein and enhance its stability. BOP1 overexpression rescued the change of proliferation, apoptosis, and glycolysis in HCCLM3 and SMMC-7721 cells. Our data indicate that SNHG6 accelerates proliferation and glycolysis and inhibits the apoptosis of HCC cell lines by binding the BOP1 protein and enhancing its stability. Both SNHG6 and BOP1 are promising prognostic and therapeutic markers in HCC.

Serum BRD2 autoantibody in hepatocellular carcinoma and its detection using mimotope peptide‑conjugated BSA.

Tumor‑associated (TA) autoantibodies are considered to be promising biomarkers for the early detection of cancer, prior to the development of clinical symptoms. In the present study, a novel TA autoantibody was detected, which may prove to be useful as a diagnostic marker of human HCC using an HBx‑transgenic (HBx‑tg) hepatocellular carcinoma (HCC) mouse model. Its target antigen was identified as the bromodomain‑containing protein 2 (BRD2), a transcriptional regulator that plays a pivotal role in the transcriptional control of diverse genes. BRD2 was upregulated in HCC tissues of the H‑ras12V‑tg mouse and human subjects, as demonstrated using western blotting or immunohistochemical analysis, with the BRD2 autoantibody. In addition, the truncated BRD2 reactive to the BRD2 autoantibody was detected in tumor cell‑derived exosomes, which possibly activated TA immune responses and the generation of autoantibodies. For the detection of the serum BRD2 autoantibody, epitope mimicries of autoantigenic BRD2 were screened from a random cyclic peptide CX7C library with the BRD2 autoantibody. A mimotope with the sequence of CTSVFLPHC, which was cyclized by one pair of cysteine residues, exhibited high affinity to the BRD2 autoantibody and competitively inhibited the binding of the autoantibody to the cellular BRD2 antigen. The use of this cyclic peptide as a capture antigen in human serum enzyme‑linked immunosorbent assay allowed the distinction of patients with HCC from healthy subjects with 64.41% sensitivity and 82.42% specificity (area under the ROC curve, 0.7761), which is superior to serum alpha‑fetoprotein (AFP; 35.83% sensitivity; 100% specificity; area under the ROC curve, 0.5337) for the diagnosis of HCC. In addition, the detection of the BRD2 autoantibody combined with other autoantibody biomarkers or AFP has increased the accuracy of HCC diagnosis, suggesting that the combinational detection of cancer biomarkers, including the BRD2 autoantibody, is a promising assay for HCC diagnosis.

Metabolome and transcriptome integration reveals metabolic profile of hepatocellular carcinoma.

Accumulated evidence highlights the role of metabolites in cancer diagnosis. However, the diagnosis of hepatocellular carcinoma (HCC), especially its early diagnosis, is still very difficult. The main purposes of the study are to explore the comprehensive characteristic metabolites of HCC through an integrated nontargeted metabolomics and transcriptomics approach and evaluate the diagnostic value of some metabolic changes in HCC. Dysregulated metabolites and pathways in HCC were identified by nontargeted metabolomics analysis of 72 pairs of matched liver tissues, including HCC tissue (HCT) and adjacent noncancerous tissue (ANT). Meanwhile, to ensure the reliability of the results, metabolic enzymes were quantified at the mRNA level by RNA sequencing. To facilitate the utilization of this information, a diagnostic model was developed based on binary logistic regression using 63 HCC serum samples collected from the aforementioned 72 patients and 40 noncancer serum samples. The results showed that 267 metabolites were significantly altered in HCT. These differential metabolites binding to related differential metabolic enzyme genes were enriched in 14 metabolic pathways. And combination of 5-oxoproline, taurocholenate sulfate, and maltose could be used as a novel candidate early serum diagnostic marker for HCC. We profiled the metabolic features of HCC and found global biochemical pathway aberration. The diagnostic potential of differential metabolites found in serum tissues, further validated in liver samples, showed that 5-oxoproline, taurocholenate sulfate, and maltose combination had a high accuracy for hepatocellular carcinoma detection, especially for alpha fetoprotein negative patients.

Upregulation of Superenhancer-Driven LncRNA FASRL by USF1 Promotes De Novo Fatty Acid Biosynthesis to Exacerbate Hepatocellular Carcinoma.

Superenhancers drive abnormal gene expression in tumors and promote malignancy. However, the relationship between superenhancer-associated long noncoding RNA (lncRNA) and abnormal metabolism is unknown. This study identifies a novel lncRNA, fatty acid synthesis-related lncRNA (FASRL), whose expression is driven by upstream stimulatory factor 1 (USF1) through its superenhancer. FASRL promotes hepatocellular carcinoma (HCC) cell proliferation invitro and invivo. Furthermore, FASRL binds to acetyl-CoA carboxylase 1 (ACACA), a fatty acid synthesis rate-limiting enzyme, increasing fatty acid synthesis via the fatty acid metabolism pathway. Moreover, the expression of FASRL, USF1, and ACACA is increased, and their high expression indicates a worse prognosis in HCC patients. In summary, USF1 drives FASRL transcription via a superenhancer. FASRL binding to ACACA increases fatty acid synthesis and lipid accumulation to mechanistically exacerbate HCC. FASRL may serve as a novel prognostic marker and treatment target in HCC.

Diagnostic and Prognostic Value of Isolated and Combined MCM3 and Glypican-3 Expression in Hepatocellular Carcinoma: A Novel Immunosubtyping Prognostic Model.

Despite diagnostic and therapeutic advances, hepatocellular carcinoma (HCC) remains a leading cause of morbidity/mortality worldwide. This retrospective study investigates the isolated and combined mini-chromosome maintenance complex component 3 (MCM3) and glypican-3 (GPC3) immunohistochemical (IHC) expression in HCC. A novel HCC immunosubtyping model based on combined MCM3/GPC3 expression is introduced and tested in comparison with prognostic variables and survival outcomes. Seventy-six HCC patients who underwent hepatectomy were enrolled. After the collection of clinicopathological, laboratory, and 3-year-survival data, IHC was applied to HCC tissue microarray-prepared sections using anti-MCM3 and GPC3. IHC scoring divided HCCs as: MCM3-high and MCM3-low expression, GPC3-positive and GPC3-negative expression, and combined scoring model immunosubtypes: MCM3-high/GPC3-positive; MCM3-low/GPC3-positive; MCM3-high/GPC3-negative, and MCM3-low/GPC3-negative. Statistical and Kaplan-Meier survival analyses were performed using SPSS version 23. MCM3 was expressed in 84.2% of HCCs. MCM3-high HCCs (60.5%) were significantly associated with lack of tumor capsulation, portal vein thrombosis, high grades, advanced stages, and Child-Pugh Scores B and C (all P≤0.05), and had a tendency for multiplicity, metastasis, solid growth pattern, shorter overall survival (OS) and disease-free survival (DFS). GPC3-positve HCCs (56.6%) were significantly associated with multiplicity and higher alfa-fetoprotein (all P≤0.05) with a tendency for shorter OS and DFS. Among all isolated and combined-expression immunosubtypes, MCM3-high/GPC3-positive HCCs had the worst prognosis and the shortest OS and DFS whereas MCM3-low/GPC3-negative immunosubtype showed the best prognosis and had the longest OS and DFS. MCM3 is defined as diagnostic, prognostic marker, and potential therapeutic target in HCC. The novel MCM3/GPC3 immunosubtyping model provides prognostic indications and stratification criteria for patients with HCC.

Dynamic CT and Gadoxetic Acid-enhanced MRI Characteristics of P53-mutated Hepatocellular Carcinoma.

Background Imaging markers of hepatocellular carcinoma (HCC) on the basis of molecular classification are important for predicting malignancy grade and prognosis. P53-mutated HCC is a major aggressive subtype; however, its imaging characteristics have not been clarified. Purpose To clarify the imaging characteristics of P53-mutated HCC at dynamic CT and gadoxetic acid-enhanced MRI that are correlated with its clinical features, pathologic findings, and prognosis. Materials and Methods In this retrospective single-center study, patients with surgically resected HCC between January 2015 and May 2018 in a university hospital were evaluated. HCC was classified into P53-mutated HCC and non-P53-mutated HCC using immunostaining. Dynamic CT and gadoxetic acid-enhanced MRI findings, clinical features, pathologic findings, and prognosis were compared using Mann-Whitney test, χ2 test, multivariable regression analysis, receiver operating characteristic analysis, Kaplan-Meier method, and log-rank test. Immunohistochemical expression of P53, organic anion transporting polypeptide 1B3 (OATP1B3), and CD34 were evaluated, and the correlations were analyzed using the Pearson correlation test. Results In total, 149 patients (mean age, 67 years ± 9 [SD]; 103 men) with 173 HCCs were evaluated. P53-mutated HCC (n = 28) demonstrated higher serum α-fetoprotein (median, 127.5 ng/mL vs 5.5 ng/mL; P < .001), larger size (40.4 mm ± 29.7 vs 26.4 mm ± 20.5; P = .001), and higher rates of poorly differentiated HCC (22 of 28 [79%] vs 24 of 145 [17%]; P < .001). Dilated vasculature in the arterial phase of dynamic CT (odds ratio, 14; 95% CI: 3, 80; P = .002) and a lower relative enhancement ratio in the hepatobiliary phase (odds ratio, 0.05; 95% CI: 0.01, 0.34; cutoff value, 0.69; P = .002) independently predicted P53-mutated HCC. OATP1B3 expression and P53 expression were inversely correlated (P = .002; R = -0.24). Five-year overall survival was worse for P53-mutated HCC (50.0% vs 72.6%; P = .02). Conclusion Dilated vasculature at the arterial phase of dynamic CT and a lower relative enhancement ratio at the hepatobiliary phase of gadoxetic acid-enhanced MRI were useful markers for P53-mutated hepatocellular carcinoma with poor prognosis. © RSNA, 2022 Online supplemental material is available for this article.

Overexpression of TCERG1 as a prognostic marker in hepatocellular carcinoma: A TCGA data-based analysis.

Objective: Transcription elongation factor 1 (TCERG1) is a nuclear protein consisted of multiple protein structural domains that plays an important role in regulating the transcription, extension, and splicing regulation of RNA polymerase II. However, the prognostic and immunological role of TCERG1 in human cancer remains unknown. In this study, we analyzed the expression of TCERG1 gene in hepatocellular carcinoma (HCC) patients, its clinical significance, and its possible prognostic value by bioinformatics. Methods: RNA sequencing data and clinicopathological characteristics of patients with HCC were collected from TCGA and CCLE databases. The Wilcoxon rank-sum test was used to analyze the expression of TCERG1 in HCC tissues and normal tissues. The protein levels of TCERG1 between normal and liver cancer tissues were analyzed by the Human Protein Atlas Database (HPA) (www.proteinatlas.org). Validation was performed using the Gene Expression Omnibus (GEO) dataset of 167 samples. The expression of TCERG1 in HCC cells were verified by qRT-PCR, and CCK-8, scratch assay and Transwell assay were performed to detect cell proliferation, migration and invasion ability. According to the median value of TCERG1 expression, patients were divided into high and low subgroups. Logistic regression, GSEA enrichment, TME, and single-sample set gene enrichment analysis (ssGSEA) were performed to explore the effects of TCERG1 on liver cancer biological function and immune infiltrates. TCERG1 co-expression networks were studied through the CCLE database and the LinkedOmics database to analyze genes that interact with TCERG1. Results: The expression levels of TCERG1 in HCC patient tissues were significantly higher than in normal tissues. Survival analysis showed that high levels of TCERG1 expression were significantly associated with low survival rates in HCC patients. Multifactorial analysis showed that high TCERG1 expression was an independent risk factor affecting tumor prognosis. This result was also verified in the GEO database. Cellular experiments demonstrated that cell proliferation, migration and invasion were inhibited after silencing of TCERG1 gene expression. Co-expression analysis revealed that CPSF6 and MAML1 expression were positively correlated with TCERG1. GSEA showed that in samples with high TCERG1 expression, relevant signaling pathways associated with cell cycle, apoptosis, pathways in cancer and enriched in known tumors included Wnt signaling pathway, Vegf signaling pathway, Notch signaling pathway, MAPK signaling pathway and MTOR pathways. The expression of TCERG1 was positively correlated with tumor immune infiltrating cells (T helper two cells, T helper cells). Conclusion: TCERG1 gene is highly expressed in hepatocellular carcinoma tissues, which is associated with the poor prognosis of liver cancer, and may be one of the markers for the diagnosis and screening of liver cancer and the prediction of prognosis effect. At the same time, TCERG1 may also become a new target for tumor immunotherapy.

Spontaneous Occurrence of Various Types of Hepatocellular Adenoma in the Livers of Metabolic Syndrome-Associated Steatohepatitis Model TSOD Mice.

Male Tsumura-Suzuki Obese Diabetes (TSOD) mice, a spontaneous metabolic syndrome model, develop non-alcoholic steatohepatitis and liver tumors by feeding on a standard mouse diet. Nearly 70% of liver tumors express glutamine synthetase (GS), a marker of hepatocellular carcinoma. In contrast, approximately 30% are GS-negative without prominent nuclear or structural atypia. In this study, we examined the characteristics of the GS-negative tumors of TSOD mice. Twenty male TSOD mice were sacrificed at 40 weeks and a total of 21 tumors were analyzed by HE staining and immunostaining of GS, liver fatty acid-binding protein (L-FABP), serum amyloid A (SAA), and beta-catenin. With immunostaining for GS, six (29%) tumors were negative. Based on the histological and immunohistological characteristics, six GS-negative tumors were classified into several subtypes of human hepatocellular adenoma (HCA). One large tumor showed generally similar findings to inflammatory HCA, but contained small atypical foci with GS staining and partial nuclear beta-catenin expression suggesting malignant transformation. GS-negative tumors of TSOD mice contained features similar to various subtypes of HCA. Different HCA subtypes occurring in the same liver have been reported in humans; however, the diversity of patient backgrounds limits the ability to conduct a detailed, multifaceted analysis. TSOD mice may share similar mechanisms of HCA development as in humans. It is timely to review the pathogenesis of HCA from both genetic and environmental perspectives, and it is expected that TSOD mice will make further contributions in this regard.

Integrative pan-cancer landscape of MMS22L and its potential role in hepatocellular carcinoma.

Methyl methanesulfonate-sensitivity protein 22-like (MMS22L) is crucial in protecting genome integrity during DNA replication by preventing DNA damage and maintaining efficient homologous recombination. However, the role of MMS22L in human cancers remains unclear. Here, we reported the landscape of MMS22L using multi-omics data and identified the relationship between the MMS22L status and pan-cancer prognosis. In addition, the correlation of MMS22L mRNA expression levels with tumor mutational burden, microsatellite instability, homologous recombination deficiency, and loss of heterozygosity in pan-cancer was also described in this study. Furthermore, this study was the first to characterize the relationship between mRNA expression of MMS22L and immune cell infiltration in the tumor microenvironment in human cancer. Concurrently, this study explored the crucial role of MMS22L in different immunotherapy cohorts through current immunotherapy experiments. Eventually, we investigated the role of MMS22L in hepatocellular carcinoma (HCC). The results demonstrated that MMS22L is widely expressed in multiple HCC cell lines, and our results emphasized that MMS22L was involved in HCC progression and affects the prognosis of patients with HCC through multiple independent validation cohorts. Collectively, our findings reveal the essential role of MMS22L as a tumor-regulating gene in human cancers while further emphasizing its feasibility as a novel molecular marker in HCC. These findings provide an essential reference for the study of MMS22L in tumors.

Circulating MicroRNA Panel as a Diagnostic Marker for Hepatocellular Carcinoma.

Current diagnostic markers for hepatocellular carcinoma are compromised and limited by their low sensitivity and speci- ficity. In this study, circulating microRNAs were utilized as a diagnostic tool to segregate hepatocellular carcinoma patients from healthy subjects. We analyzed 2 public datasets for differences in plasma microRNA expression profiles of hepatocellular carcinoma patients and healthy controls to identify biomarkers related to hepatocellular carcinoma. Plasma samples from hepatocellular carcinoma patients and control subjects were then collected for next-generation microRNA sequencing analysis. The differential microRNAs obtained from the above 3 parts were intersected to obtain microRNAs that were significantly different between the 2 groups. We then analyzed 58 specimens, which come from hepatocellular carcinoma and the control group, for validation through a quantitative polymerase chain reaction. The diagnostic value of these differentially expressed miRNAs was assessed by receiver operating characteristic curve analysis. The levels of miR-206 and miR-222 were significantly higher (P &lt; .05) and the level of miR-126 was lower (P &lt; .05) in patients with hepatocellular carcinoma than in healthy subjects. Receiver operating characteristic analysis established a powerful diagnostic accuracy when miR-206, miR-222, and miR-126 were combined (area under curve = 0.887), which was similar to that of the markerα-fetoprotein (area under curve = 0.889). When the microRNAs were combined with α-fetoprotein, the accuracy of hepatocellular carci- noma diagnostic potential was further improved (area under curve = 0.989). We identified 3 microRNAs significantly altered in the plasma of hepatocellular carcinoma patients and they can screen patients at risk of hepatocellular carcinoma.

Alanine aminotransferase levels as therapeutic targets after nucleotide/nucleoside analog therapy in patient with chronic hepatitis B.

Alanine aminotransferase (ALT) is a criterion for the introduction of nucleotide/nucleoside analog (NA), and ALT levels are decreased by NA treatment. However, the association between post-treatment ALT levels and hepatocellular carcinoma (HCC) risk remains unclear. To fill this gap, we aimed to establish a target value of ALT level during NA treatment. In total, 413 patients with chronic hepatitis B who received entecavir, tenofovir alafenamide, or tenofovir disoproxil fumarate were enrolled. The subsequent development of HCC was examined and a target value of ALT level during NA treatment as a risk marker for HCC was evaluated. The median follow-up duration was 5.1years, during which time 27 patients (8.6%) developed HCC. ALT level at the start of treatment was not associated with HCC development (p=0.08). When stratified by ALT at 1year after NA initiation, the cumulative 3- and 5-year rates of HCC for patients with ALT ≥21 IU/L were 11.5% and 18.1%, and those with ALT <21IU/L was 2.3% and 6.5%, respectively. Patients with ALT <21IU/L had a significantly lower risk of HCC development compared with patients with ALT ≥21IU/L (p=0.002). In multivariable analysis adjusting age, sex, and platelet counts, ALT ≥21IU/L was an independent risk factor of HCC development with hazard ratio of 4.5 (95% confidence interval: 1.01-20.4). ALT <21IU/L at 1year after NA initiation has a lower risk of HCC and could be used as a target value for NA treatment.

Construction of a 3-mRNA hypoxia prognostic model to evaluate immune microenvironment in hepatocellular carcinoma.

Background:Hypoxia is a key factor in the development of hepatocellular carcinoma (HCC), which is the most common primary liver cancer with poor prognosis. The current study aimed to identify the potential prognostic biomarkers of the hypoxia-associated gene signature in patients with HCC, and to further explore the relationship between hypoxia and immune infiltration.Methods:After the determination of differentially expressed genes (DEGs) using the HCC transcriptome data of The Cancer Genome Atlas database and hypoxia-related gene set, the prognosis-associated genes were identified using univariate Cox regression analysis. Then, the hypoxia prognosis model was established via multivariate Cox regression analysis, with functional annotation conducted using Gene Set Enrichment Analysis. CIBERSORT was utilized to analyze the degree of tumor immune invasion, and an International Cancer Genome Consortium cohort to verify the reliability of the prognosis model. Expression levels of hypoxia-associated genes were detected by real-time quantitative polymerase chain reaction in HCC samples.Results:3 genes (ENO1, SAP30, and STC2) constructed the hypoxia prognosis model. The patients were subdivided into 2 groups based on median risk score, with a high hypoxic score indicating poor prognosis of HCC. The hypoxia signature could be employed as an independent prognostic factor in HCC. In addition, the proportion of macrophages was higher in the high-risk group.Conclusion:The hypoxia-associated signature could be a potential prognostic marker of HCC and provides a different perspective for immunotherapy of HCC.