FAT10 induces immune suppression by upregulating PD-L1 expression in hepatocellular carcinoma.

The upregulation of programmed death ligand 1 (PD-L1) plays a crucial role in facilitating cancer cells to evade immune surveillance through immunosuppression. However, the precise regulatory mechanisms of PD-L1 in hepatocellular carcinoma (HCC) remain undefined. The correlation between PD-L1 and ubiquitin-like molecules (UBLs) was studied using sequencing data from 20 HCC patients in our center, combined with TCGA data. Specifically, the association between FAT10 and PD-L1 was further validated at both the protein and mRNA levels in HCC tissues from our center. Subsequently, the effect of FAT10 on tumor progression and immune suppression was examined through both in vivo and in vitro experiments. Utilizing sequencing data, qPCR, and Western blotting assays, we confirmed that FAT10 was highly expressed in HCC tissues and positively correlated with PD-L1 expression. Additionally, in vitro experiments demonstrated that the overexpression of FAT10 fostered the proliferation, migration, and invasion of HCC cells. Furthermore, the overexpression of FAT10 in HCC cells led to an increase in PD-L1 expression, resulting in the inhibition of T cell proliferation and the enhancement of HCC cell resistance to T cell-mediated cytotoxicity. Moreover, in vivo experiments utilizing the C57BL/6 mouse model revealed that overexpression of FAT10 effectively suppressed the infiltration of CD8 + GZMB + and CD8 + Ki67 + T cells, as well as reduced serum levels of TNF-α and IFN-γ. Mechanistically, we further identified that FAT10 upregulates PD-L1 expression via activating the PI3K/AKT/mTOR pathway, but not in a ubiquitin-like modification. In conclusion, our findings indicate that FAT10 promotes immune evasion of HCC via upregulating PD-L1 expression, suggesting its potential as a novel target to enhance the efficiency of immunotherapy in HCC.

Antihypertensive treatment and risk factors for syncope in asymptomatic aortic stenosis patients with hypertension.

BACKGROUND: Evidence for treating hypertension in patients with asymptomatic aortic valve stenosis(AS) is scarce. OBJECTIVES: Given the paucity of data on the relationship between syncope and antihypertensive treatment in aortic stenosis. This study sought to investigate this association in patients admitted to our hospital. METHODS: A total of 158 patients with asymptomatic moderate or severe aortic stenosis were analyzed. Follow-up was conducted by clinic visit, telephone contact, or review of electronic medical records. Outcomes were syncope. RESULTS: Hypertension were documented in 90 of the 158 patients with moderate or severe AS, and 77 of them received antihypertensive medications. During an average 28 months follow-up period, the occurrence of syncope was observed in 13 patients. Among them, 8 were in antihypertensive group (n = 77) and 5 in normotensive group (n = 68). There was no significant difference in incidence of syncope between the two groups. Patients with treated hypertension and syncope had a lower stroke volume index (SVi), a higher valve arterial impedance (ZVA), a smaller SAC than those without. Kaplan-Meier analysis showed that there was no significant difference in syncope cumulative incidence between antihypertensive group and normotensive group (log rank P = .478). Multivariate cox regression analysis showed that both ZVA (hazard ratio:19.006, 95% confidence interval: 4.664 to77.448;P = .002) and LVMI (hazard ratio:1.484, 95% confidence interval: 1.427 to 5.157;P = .016) were associated with development of syncope, whereas hypertension were not related independently to syncope (hazard ratio:0.935, 95% confidence interval: 0.786 to3.173; P = .869). CONCLUSIONS: In patients with moderate or severe AS, concomitant hypertension, and antihypertensive treatment didn't increase the occurrence of syncope, whereas higher ZVA was independently associated with greater risk of syncope.

MicroRNA-22-3p Restrains the Proliferation, Phenotypic Transformation, and Migration of Vascular Smooth Muscle Cells by Manipulating TOMM40.

microRNA (miR) -22-3p has been confirmed to be engaged in the phenotype transformation and proliferation of vascular smooth muscle cells (VSMCs), which is intimately correlated with restenosis. The current research set out to explore the detailed mechanism and function of miR-22-3p in VSMC proliferation, phenotype transformation, and migration via the translocase of outer mitochondrial membrane (TOMM40). Peripheral blood samples were acquired from patients with in-stent restenosis (ISR) after percutaneous coronary intervention (PCI), with subsequent quantitative reverse transcription (qRT) -polymerase chain reaction (PCR) and Western blot analyses of miR-22-3p and TOMM40 expression. After miR-22-3p-inhibitor, oe-TOMM40, and sh-TOMM40 were transfected into VSMCs, Cell Counting Kit (CCK) -8 assay, scratch test, and Western blot analysis were implemented to measure the VSMC proliferation, migration, and matrix metallopeptidase 9 (MMP9), α-smooth muscle actin (SMA), smooth muscle-myosin heavy chain (SM-MHC), and osteopontin (OPN) expressions, respectively. In addition, human umbilical vein endothelial cell (HUVEC) proliferation was examined by CCK-8 assay. The binding relationship between miR-22-3p and TOMM40 was assessed by dual luciferase reporter and RNA immunoprecipitation assays. The peripheral blood of patients with ISR after PCI had low expression of miR-22-3p and high expression of TOMM40. The mechanistic analysis reported the negative targeting relationship between miR-22-3p and TOMM40. Down-regulating miR-22-3p or up-regulating TOMM40 elevated the proliferation, migration, and phenotype transformation of VSMCs. miR-22-3p inhibitor had no evident impact on HUVEC proliferation. In addition, rescue assays displayed that TOMM40 silencing annulled miR-22-3p inhibition-enhanced VSMC proliferation, migration, and phenotype transformation. Conclusively, miR-22-3p could repress VSMC proliferation, phenotypic transformation, and migration by targeting TOMM40, which might be a possible treatment candidate for restenosis after PCI in patients with cardiovascular disease.

Revealing the Side-Chain-Dependent Ordering Transition of Highly Crystalline Double-Cable Conjugated Polymers.

We developed a series of highly crystalline double-cable conjugated polymers for application in single-component organic solar cells (SCOSCs). These polymers contain conjugated backbones as electron donor and pendant perylene bisimide units (PBIs) as electron acceptor. PBIs are connected to the backbone via alkyl units varying from hexyl (C6 H12 ) to eicosyl (C20 H40 ) as flexible linkers. For double-cable polymers with short linkers, the PBIs tend to stack in a head-to-head fashion, resulting in large d-spacings (e.g. 64 Šfor the polymer P12 with C12 H24 linker) along the lamellar stacking direction. When the length of the linker groups is longer than a certain length, the PBIs instead adopt a more ordered packing likely via H-aggregation, resulting in short d-spacings (e.g. 50 Šfor the polymer P16 with C16 H32 linker). This work highlights the importance of linker length on the molecular packing of the acceptor units and the influences on the photovoltaic performance of SCOSCs.

Is lymph node dissection necessary for resectable intrahepatic cholangiocarcinoma? A systematic review and meta-analysis.

BACKGROUND: The objective of this meta-analysis was to evaluate the effectiveness and safety of lymph node dissection (LND) in patients with intrahepatic cholangiocarcinoma (ICC). METHODS: A literature search with a date range of January 2000 to January 2018 was performed to identify studies comparing lymph node dissection (LND+) with non-lymph node dissection (LND-) for patients with ICC. The LND + group was further divided into positive (LND + N+) and negative (LND + N-) lymph node status groups based on pathological analysis. RESULTS: 13 studies including 1377 patients were eligible. There were no significant differences in overall survival (OS) (HR 1.13, 95% CI 0.94-1.36; P = 0.20), disease-free survival (DFS) (HR 1.23, 95% CI 0.94-1.60; P = 0.13), or recurrence (OR 1.39, 95% CI 0.90-2.15; P = 0.14) between LND + group and LND-group. Postoperative morbidity was significantly higher in the LND + group (OR 2.67, 95% CI 1.74-4.10; P < 0.001). A subset analysis showed that OS was similar between LND + N- and LND-groups (HR 1.13, 95% CI 0.82-1.56; P = 0.450). However when comparing, OS of the LND-group to the LND+N+ group there was a significant increase in OS for the LND-group (HR 3.26, 95% CI 1.85-5.76; P < 0.001). CONCLUSIONS: LND does not seem to positively affect overall survival and is associated with increased post-operative morbidity.

SOX2 regulates radioresistance in cervical cancer via the hedgehog signaling pathway.

OBJECTIVE: Resistance to radiotherapy accounts for most treatment failures in cervical cancer patients who receive radical radiation therapy. To discover the possible mechanism of radioresistance and improve the 5-year survival rate, we focused on how sex-determining region Y-box 2 (SOX2) mediates radioresistance in cervical cancer as well as on the interaction between SOX2 and the hedgehog (Hh) signaling pathway in this study. METHODS: We established the acquired radioresistant subclone cells Hela-RR and Siha-RR. RT-qPCR, Western blot analysis, IHC, clonogenic survival assay, CCK-8 assay, apoptosis analysis, cell cycle analysis and xenograft models were used to explore the relationship between SOX2 expression and radiation resistance and to determine how SOX2 mediates radioresistance in cervical cancer. Furthermore, luciferase reporter and ChIP-PCR assays were utilized to assess the interaction between SOX2 and the Hh signaling pathway. RESULTS: Our research suggested that high expression of SOX2 was responsible for radioresistance in cervical cancer. SOX2 was observed to be closely related to irradiation-induced survival, proliferation, apoptosis, and cell cycle changes. The Hh signaling pathway was found to be activated in Hela-RR and Siha-RR, and the activation changed with SOX2 expression. IHC staining of SOX2 and Gli1 showed a close relationship between SOX2 and the Hh pathway. Luciferase reporter and ChIP-PCR assays demonstrated that SOX2 interacted with the Hh signaling pathway by occupying the HHAT promoter. CONCLUSIONS: SOX2 is a potential therapeutic target of irradiation resistance in cervical cancer. It mediates radioresistance in cervical cancer via the Hh signaling pathway.

Laparoscopic liver re-resection is feasible for patients with posthepatectomy hepatocellular carcinoma recurrence: a propensity score matching study.

BACKGROUND: Liver re-resection plays a paramount role in treatment of patients with posthepatectomy hepatocellular carcinoma (HCC) recurrence. Laparoscopic liver resection has been a feasible alternative to open surgery. However, whether laparoscopic liver re-resection for posthepatectomy HCC recurrence is better than open liver re-resection remains unknown. METHOD: From January 2008 to December 2015, 30 patients with recurrent HCC after prior liver resection underwent laparoscopic liver re-resection in our center. To minimize any confounding factors, a propensity score matching study using a patient ratio of 1:1 was conducted to compare the short- and long-term outcomes of patients who underwent laparoscopic or open liver re-resection. RESULT: With the open surgery group compared laparoscopic group, operative time was 207.50 versus 200.5 min (p = 0.903), blood loss was 400 versus 100 ml (p = 0.000196), blood transfusion rate was 43.3 versus 0.0% (p = 0.000046), complication rates were 30.0 versus 6.7% (p = 0.01), and hospital stay was 13.5 versus 9.5 days (p = 0.000008). The median follow-up was 35 months. The 1-year, 3-year, 5-year disease-free survival rates were 79.0, 51.0, and 31.9%, versus 78.3, 57.4, and 43.0%, respectively (p = 0.474). The 1-year, 3-year, and 5-year overall survival rates were 89.4, 75, and 67.5%, versus 96.7, 85.0, and 74.4%, respectively (p = 0.413). CONCLUSION: Laparoscopic liver re-resection for patients with posthepatectomy HCC recurrence provided comparable perioperative and oncological outcomes as open liver re-resection and can be a safe alternative to open procedure.

In-Doped ZnO Electron Transport Layer for High-Efficiency Ultrathin Flexible Organic Solar Cells.

Sol-gel processed zinc oxide (ZnO) is one of the most widely used electron transport layers (ETLs) in inverted organic solar cells (OSCs). The high annealing temperature (≈200 °C) required for sintering to ensure a high electron mobility however results in severe damage to flexible substrates. Thus, flexible organic solar cells based on sol-gel processed ZnO exhibit significantly lower efficiency than rigid devices. In this paper, an indium-doping approach is developed to improve the optoelectronic properties of ZnO layers and reduce the required annealing temperature. Inverted OSCs based on In-doped ZnO (IZO) exhibit a higher efficiency than those based on ZnO for a range of different active layer systems. For the PM6:L8-BO system, the efficiency increases from 17.0% for the pristine ZnO-based device to 17.8% for the IZO-based device. The IZO-based device with an active layer of PM6:L8-BO:BTP-eC9 exhibits an even higher efficiency of up to 18.1%. In addition, a 1.2-micrometer-thick inverted ultrathin flexible organic solar cell is fabricated based on the IZO ETL that achieves an efficiency of 17.0% with a power-per-weight ratio of 40.4 W g-1, which is one of the highest efficiency for ultrathin (less than 10 micrometers) flexible organic solar cells.

Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy.

BACKGROUND: Lenvatinib plus PD-1 inhibitors and interventional (LPI) therapy have demonstrated promising treatment effects in unresectable hepatocellular carcinoma (HCC). However, biomarkers for predicting the response to LPI therapy remain to be further explored. We aimed to develop a radiomics model to noninvasively predict the efficacy of LPI therapy. METHODS: Clinical data of patients with HCC receiving LPI therapy were collected in our institution. The clinical model was built with clinical information. Nine machine learning classifiers were tested and the multilayer perceptron classifier with optimal performance was used as the radiomics model. The clinical-radiomics model was constructed by integrating clinical and radiomics scores through logistic regression analysis. RESULTS: 151 patients were enrolled in this study (2:1 randomization, 101 and 50 in the training and validation cohorts), of which three achieved complete response, 69 showed partial response, 46 showed stable disease, and 33 showed progressive disease. The objective response rate, disease control rate, and conversion resection rates were 47.7, 78.1 and 23.2%. 14 features were selected from the initially extracted 1223 for radiomics model construction. The area under the curves of the radiomics model (0.900 for training and 0.893 for validation) were comparable to that of the clinical-radiomics model (0.912 for training and 0.892 for validation), and both were superior to the clinical model (0.669 for training and 0.585 for validation). Meanwhile, the radiomics model can categorize participants into high-risk and low-risk groups for progression-free survival (PFS) and overall survival (OS) in the training (HR 1.913, 95% CI 1.121 to 3.265, p=0.016 for PFS; HR 4.252, 95% CI 2.051 to 8.816, p=0.001 for OS) and validation sets (HR 2.347, 95% CI 1.095 to 5.031, p=0.012 for PFS; HR 2.592, 95% CI 1.050 to 6.394, p=0.019 for OS). CONCLUSION: The promising machine learning radiomics model was developed and validated to predict the efficacy of LPI therapy for patients with HCC and perform risk stratification, with comparable performance to clinical-radiomics model.

A novel risk score system based on immune subtypes for identifying optimal mRNA vaccination population in hepatocellular carcinoma.

PURPOSE: Although mRNA vaccines have shown certain clinical benefits in multiple malignancies, their therapeutic efficacies against hepatocellular carcinoma (HCC) remains uncertain. This study focused on establishing a novel risk score system based on immune subtypes so as to identify optimal HCC mRNA vaccination population. METHODS: GEPIA, cBioPortal and TIMER databases were utilized to identify candidate genes for mRNA vaccination in HCC. Subsequently, immune subtypes were constructed based on the candidate genes. According to the differential expressed genes among various immune subtypes, a risk score system was established using machine learning algorithm. Besides, multi-color immunofluorescence of tumor tissues from 72 HCC patients were applied to validate the feasibility and efficiency of the risk score system. RESULTS: Twelve overexpressed and mutated genes associated with poor survival and APCs infiltration were identified as potential candidate targets for mRNA vaccination. Three immune subtypes (e.g. IS1, IS2 and IS3) with distinct clinicopathological and molecular profiles were constructed according to the 12 candidate genes. Based on the immune subtype, a risk score system was developed, and according to the risk score from low to high, HCC patients were classified into four subgroups on average (e.g. RS1, RS2, RS3 and RS4). RS4 mainly overlapped with IS3, RS1 with IS2, and RS2+RS3 with IS1. ROC analysis also suggested the significant capacity of the risk score to distinguish between the three immune subtypes. Higher risk score exhibited robustly predictive ability for worse survival, which was further independently proved by multi-color immunofluorescence of HCC samples. Notably, RS4 tumors exhibited an increased immunosuppressive phenotype, higher expression of the twelve potential candidate targets and increased genome altered fraction, and therefore might benefit more from vaccination. CONCLUSIONS: This novel risk score system based on immune subtypes enabled the identification of RS4 tumor that, due to its highly immunosuppressive microenvironment, may benefit from HCC mRNA vaccination.

CircNUP54 promotes hepatocellular carcinoma progression via facilitating HuR cytoplasmic export and stabilizing BIRC3 mRNA.

Circular RNAs (circRNAs) have been implicated in tumorigenesis and progression of various cancers. However, the underlying mechanisms of circRNAs in hepatocellular carcinoma (HCC) have not been fully elucidated. Herein, a new oncogenic circRNA, hsa_circ_0070039 (circNUP54), was identified to be significantly upregulated in HCC through circRNA sequencing. As verified in 68 HCC samples, circNUP54 overexpression was correlated with aggressive cancerous behaviors and poor outcomes. Moreover, the function experiments showed that knockdown of circNUP54 inhibited the malignant progression of HCC in vitro and in vivo, whereas overexpression of circNUP54 had the opposite role. Mechanistic investigations carried out by RNA pull-down, RNA immunoprecipitation, and immunofluorescence revealed that circNUP54 interacted with the RNA-binding protein Hu-antigen R (HuR) and promoted its cytoplasmic export. The cytoplasmic accumulation of HuR stabilized the downstream BIRC3 mRNA through its binding to the 3' UTR region. Consequently, the encoded protein of BIRC3, cellular inhibitor of apoptosis 2 (cIAP2), proceeded to activate the NF-κB signal pathway and ultimately contributed to HCC progression. In addition, depletion of BIRC3 rescued the pro-tumorigenic effect of circNUP54 on HCC cells. Overall, this study demonstrated that circNUP54 facilitates HCC progression via regulating the HuR/BIRC3/NF-κB axis, which may serve as a promising therapeutic target for HCC treatment.

Identification of a novel Scn3b mutation in a Chinese Brugada syndrome pedigree: implications for Nav1.5 electrophysiological properties and intracellular distribution of Nav1.5 and Navß3.

Background: The Scn3b gene encodes for Navß3, a pivotal regulatory subunit of the fast sodium channel in cardiomyocytes. However, its mutation status in the Chinese population suffering from Brugada Syndrome (BrS) has not been characterized, and the contributory pathophysiological mechanisms to disease pathology remain undefined. Methods and Results: A Scn3b (c.260C>T, p.P87l) mutation was identified in a patient with BrS of Chinese descent. Functional analyses demonstrated that sodium channel activation for the wild type, mutant samples, and co-expression of both commenced at -55 mv and peaked at -25 mv. The mutant group exhibited a notable reduction, approximately 60%, in peak sodium channel activation current (INa) at -25 mv. The parameters for half-maximal activation voltages (V1/2) and slope factors (k) showed no significant differences when comparing wild type, mutant, and combined expression groups (P = 0.98 and P = 0.65, respectively). Additionally, no significant disparities were evident in terms of the steady-state sodium channel inactivation parameters V1/2 and k (with P-values of 0.85 and 0.25, respectively), nor were there significant differences in the activation time constant τ (P = 0.59) and late sodium current density (P = 0.23) across the wild-type, mutant, and co-expressed groups. Confocal imaging and Western blot analysis demonstrated decreased plasma membrane localization of SCN3B and SCN5A in the P87l group. Computational simulations of cardiac action potentials suggested that SCN3B P87l can alter the morphology of the action potentials within the endocardium and epicardium while reducing the peak of depolarization. Conclusions: The pathogenic impact of the Scn3b P87l mutation predominantly originates from a reduction in peak INa activation current coupled with decreased cell surface expression of Nav1.5 and Navß3. These alterations may influence cardiac action potential configurations and contribute to the risk of ventricular arrhythmias in individuals with BrS.

Protein PDK4 Interacts with HMGCS2 to Facilitate High Glucoseinduced Myocardial Injuries.

OBJECTIVES: As a distinct type of cardiomyopathy, diabetic cardiomyopathy (DCM) is featured as diastolic or systolic cardiac dysfunction in diabetic patients. In order to broaden the understanding of molecular mechanisms in DCM, we intended to explore the mechanism of the interaction between PDK4 protein and Hmgcs2 in high glucose (HG)-induced myocardial damage. METHODS: PDK4 and Hmgcs2 expression in the myocardium of diabetes mellitus (DM) model rats and HG-incubated cardiomyocyte line H9C2 was analyzed by western blot analysis. Echocardiography and TUNEL assay were utilized for respective assessment of cardiac structure and function and cardiomyocyte apoptosis in DM rats after silencing PDK4 or/and Hmgcs2. In vitro, the impact of PDK4 and Hmgcs2 on HG-induced cardiomyocyte injuries was identified with cell counting kit-8 and flow cytometry assays, along with detection of LDH release, caspase-3/7 activities, and reactive oxygen species (ROS) and malondialdehyde (MDA) levels. Moreover, a coimmunoprecipitation assay was utilized to test the interaction between PDK4 and Hmgcs2. RESULTS: Both PDK4 and Hmgcs2 were highly expressed in the myocardial tissues of DM rats. Mechanistically, PDK4 interacted with Hmgcs2 to upregulate Hmgcs2 expression in HG-induced H9C2 cells. Silencing PDK4 improved cardiac function and reduced cardiomyocyte apoptosis in DM rats. In HG-induced H9C2 cells, PDK4 or Hmgcs2 silencing enhanced cell viability and reduced LDH release, caspase-3/7 activities, cell apoptosis, and ROS and MDA levels, and these trends were further promoted by the simultaneous silencing of PDK4 and Hmgcs2. CONCLUSION: In summary, the silencing of PDK4 and Hmgcs2 alleviated HG-induced myocardial injuries through their interaction.

GPX2 is a potential therapeutic target to induce cell apoptosis in lenvatinib against hepatocellular carcinoma.

INTRODUCTION: Lenvatinib has recently become available as the first-line therapy for advanced hepatocellular carcinoma (HCC), but its molecular mechanism in HCC remains largely unknown. OBJECTIVES: The current study aims to identify the molecular mechanisms of lenvatinib in HCC. METHODS: Gene expression microarrays, flow cytometry, western blot, qRT-PCR, immunohistochemistry and immunofluorescence were used to study the response of HCC cells to lenvatinib. Xenograft tumor of Huh7 cells was also established to detect the effect of lenvatinib in vivo. RESULTS: Herein, we found that lenvatinib could induce apoptosis via increasing reactive oxygen species (ROS) levels in HCC cells. Then, microarray analysis and qRT-PCR results confirmed that GPX2 was a vital target for lenvatinib against HCC. Loss and gain function of experiment showed that regulating GPX2 levels markedly affected the lenvatinib-induced ROS levels and apoptosis in HCC cells. In addition, analyses of The Cancer Genome Atlas database and the qRT-PCR results in our cohort both showed that GPX2 markedly overexpressed in tumor tissues and correlated with poor overall survival in HCC. Mechanistically, our findings further demonstrated that GPX2 was a downstream gene regulated by ß-catenin, while lenvatinib could prevent nuclear translocation of ß-catenin and further inhibit GPX2 expression in HCC cells. More importantly, the correlation of GPX2 expression with lenvatinib response was further analyzed in 22 HCC patients who received lenvatinib therapy, and the results showed that the objective response rate (ORR) in patients with low GPX2 expression was 44.4% (4/9), while the ORR in patients with high GPX2 levels was only 7.7% (1/13). CONCLUSION: Our findings indicated that GPX2 plays an important role in lenvatinib-induced HCC cell apoptosis, which might serve as a biomarker for instruction of lenvatinib therapy in HCC patients.

Identification of a Novel Ferroptosis-Related Gene Signature for Predicting Prognosis and Responsiveness to Immunotherapy in Hepatocellular Carcinoma.

Purpose: Ferroptosis has been reported to regulate multiple biological behaviors. However, the prognostic and oncologic values of ferroptosis-related genes (FRGs) have not been comprehensively elucidated in hepatocellular carcinoma (HCC). Here, we aimed to construct FRGs-associated signature for stratification of the prognosis of HCC patients. Methods: A list of FRGs was generated from FerrDb. Public databases were used to extract expression matrices and clinical information. TCGA cohort was randomly divided into a training set and a validation set. Prognostic signature for Overall Survival (OS) was established in training set and validated in internal cohorts (TCGA validation set and entire set) and external cohort (ICGC cohort). Additionally, the role of signature in HCC was well investigated by analysis of mutations, gene set enrichment analysis (GSEA), analysis of immune infiltrates, and analysis of response to immune checkpoint blockade (ICB) treatment. The oncogenic effects of ZFP69B on HCC were also investigated in vitro. Results: We identified 12 FRGs-based signature for OS with LASSO regression. Patients were partitioned into different risk groups based on the signature. Overall, patients in different groups had different prognosis. The signature independently predicted OS in multivariate Cox regression analyses. Anti-tumor immune cells including activated CD8 T cells, cytolytic activity, and Th1 cells were negatively correlated with risk score in both TCGC and ICGC cohorts. Furthermore, low-risk patients responded better to ICB than high-risk patients. In addition, knockdown of ZFP69B reduced proliferation, migration, and invasion, and promoted erastin-induced ferroptosis of HCC cells. Conclusion: We developed a prognostic signature based on FRGs to predict OS of HCC patients. And the signature may facilitate clinicians in identifying those who are likely to benefit from ICIs. The results also indicated that ZFP69B might regulate the process of ferroptosis and could be used as a novel potential target for HCC.

Trends in prevalence and all-cause mortality of metabolic dysfunction-associated fatty liver disease among adults in the past three decades: Results from the NHANES study.

BACKGROUND: Given the escalating epidemic of obesity and diabetes coupled with redefined diagnostic criteria, it is critical to identify the prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD). We sought to determine the prevalence and mortality outcomes of MAFLD subtypes based on diagnostic criteria in the USA over the past three decades. METHODS: Eleven cycles of the National Health and Nutrition Examination Surveys (NHANES; 1988-1994 and 1999-2020) were used, and 72,224 participants were included. MAFLD was defined according to the 2020 International Expert Consensus. Based on diagnostic criteria and risk factors, MAFLD was categorized into seven subtypes: type 1 (obesity subtype), 2 (metabolic unhealthy subtype), 3 (diabetes subtype), 4 (metabolic unhealthy non-diabetes subtype), 5 (obesity and diabetes subtype), 6 (metabolic unhealthy non-obesity subtype), and 7 (mixed subtype). RESULTS: Over the study period, the estimated prevalence of MAFLD increased significantly from 22% in 1988-1994 to 36% in 2017-2020. The prevalence of Type 4 was the highest, followed by that of Type 7, whereas other types were low and almost unchanged over time. Individuals with MAFLD had 19% and 38% increased mortality risks from all causes and cardiovascular disease, respectively. Among them, the metabolically unhealthy participants with normal weight demonstrated a 116% higher risk for all-cause mortality [hazard ratio (HR): 2.16, 95% CI: 1.52-3.08] and a 222% higher risk for cardiovascular mortality (HR: 3.22, 95% CI: 1.72-6.04). Interestingly, stratification and interaction analyses demonstrated a significant impact of metabolic parameters on the relationship between MAFLD and all-cause mortality. CONCLUSIONS: In conclusion, our study identified an increase in MAFLD prevalence and a significant association between metabolic derangements in MAFLD and all-cause or cardiovascular mortality.

High Expression of Long Non-Coding RNA TMCO1-AS1 is Associated With Poor Prognosis of Hepatocellular Carcinoma.

Background: The molecular pathways along with the clinical significance of long non-coding RNAs (lncRNAs) in hepatocellular carcinoma (HCC) remain uncertain. Our study sought to identify and characterize lncRNAs associated with HCC. Methods: LncRNA TMCO1-AS1 was identified by differential expression analysis, receiver operating characteristic (ROC) analysis, and univariate analysis using RNA sequencing and clinical information of HCC from the public database. Then clinical correlations and survival analysis were conducted to further appraise the prognostic significance of lncRNA TMCO1-AS1 in HCC. Hepatoma and adjoining normal tissues from 66 patients who received surgical operation at our center were used to verify the results of the bioinformatics analysis. A survival prognostic model was established combining TMCO1-AS1 expression and other clinical characteristics. Results: Bioinformatics analysis showed the aberrant high expression of TMCO1-AS1 in HCC tissue. TMCO1-AS1 expression was positively correlated with alpha-fetoprotein (AFP) level, vascular invasion, tumor stage, as well as tumor differentiation. Moreover, survival analysis found a significant inverse association between the expression of TMCO1-AS1 and the survival of patients with HCC. Cox analysis indicated that TMCO1-AS1 was an independent factor for HCC prognosis. Analysis of the HCC tissues from patients at our center provided results similar to those of the bioinformatics analysis. Risk models for overall survival (OS) and recurrence-free survival (RFS) incorporating TMCO1-AS1 exhibited better sensitivity and specificity than using clinical characteristics alone. Conclusion: High TMCO1-AS1 expression is significantly correlated with the unfavorable poor prognosis of HCC, indicating its potential of being a novel prognostic marker for HCC.

CircLIFR suppresses hepatocellular carcinoma progression by sponging miR-624-5p and inactivating the GSK-3ß/ß-catenin signaling pathway.

Circular RNAs have been reported to play essential roles in the tumorigenesis and progression of various cancers. However, the biological processes and mechanisms involved in hepatocellular carcinoma (HCC) remain unclear. Initial RNA-sequencing data and qRT-PCR results in our cohort showed that hsa_circ_0072309 (also called circLIFR) was markedly downregulated in HCC tissues. Kaplan-Meier analysis indicated that higher levels of circLIFR in HCC patients correlated with favorable overall survival and recurrence-free survival rates. Both in vitro and in vivo experiments indicated that circLIFR inhibited the proliferation and invasion abilities of HCC cells. We therefore conducted related experiments to explore the mechanism of circLIFR in HCC. Fluorescence in situ hybridization results revealed that circLIFR was mainly located in the cytoplasm, and RNA immunoprecipitation assays indicated that circLIFR was significantly enriched by Ago2 protein. These results suggested that circLIFR may function as a sponge of miRNAs to regulate HCC progression. We further conducted bioinformatics prediction as well as dual-luciferase reporter assays, and the results of which showed that circLIFR could sponge miR-624-5p to stabilize glycogen synthase kinase 3ß (GSK-3ß) expression. Loss and gain of function experiments demonstrated that regulation of the expression of miR-624-5p or GSK-3ß markedly affected HCC progression induced by circLIFR. Importantly, we also proved that circLIFR could facilitate the degradation of ß-catenin and prevent its translocation to the nucleus in HCC cells. Overall, our study demonstrated that circLIFR acts as a tumor suppressor in HCC by regulating miR-624-5p and inactivating the GSK-3ß/ß-catenin signaling pathway.

SLC39A1 Overexpression is Associated with Immune Infiltration in Hepatocellular Carcinoma and Promotes Its Malignant Progression.

BACKGROUND: Solute carrier family 39 member 1 (SLC39A1) has been identified as a zinc ion transport protein that possesses oncogenic properties in various types of cancers. However, its potential function in hepatocellular carcinoma (HCC) remains unknown. This study aimed to investigate the expression profile and potential mechanisms of SLC39A1 in HCC. METHODS: SLC39A1 expression was analyzed using multiple databases. The clinical significance and associated biological pathways of SLC39A1 were investigated using bioinformatics analysis. Potential correlations between SLC39A1 expression and tumor immunity in HCC were also evaluated using single-sample gene set enrichment analysis (GSEA). Sixty paired HCC samples were used to verify the expression pattern of SLC39A1. In vitro studies were performed to investigate the oncogenic effects of SLC39A1 in HCC. Western blot analysis was conducted to further investigate the possible involved signaling pathways. RESULTS: The overexpression of SLC39A1 in HCC was determined by bioinformatics analysis and was confirmed in tissues from our center. SLC39A1 overexpression was also significantly correlated with worse prognosis, advanced TNM stage, and histological grade. GSEA analysis demonstrated that SLC39A1 overexpression was involved in various tumor-related pathways, such as the cell cycle and Wnt signaling pathway. SLC39A1 knockdown repressed the proliferation, invasion, and migration abilities of HCC cells. Furthermore, SLC39A1 knockdown decreased the expression of the tumor progression-related proteins (eg, cyclin D1 and MMP2) and Wnt signaling pathway-related proteins (eg, Wnt3A and ß-catenin). In addition, SLC39A1 overexpression may be associated with impaired tumor immunity in HCC, as evidenced by the increased infiltration of Th2 cells and reduced infiltration of cytotoxic cells. CONCLUSION: These findings preliminarily suggested the crucial effect of SLC39A1 overexpression on HCC tumor progression and immunosuppression, suggesting its potential as a novel prognostic and therapeutic target in HCC.

Identification of LSM Family Members as Novel Unfavorable Biomarkers in Hepatocellular Carcinoma.

Background: Smith-like (LSM) family members play critical roles in multiple oncologic processes in several types of malignancies. The study on LSM family members of HCC might provide new insights into the tumorigenesis and therapeutic strategies of HCC. Methods: The clinical significance and oncologic biological functions of LSM family members were assessed through multiple bioinformatics methods and in vitro studies. The potential correlation between LSM family members and tumor immunity was also investigated using single sample gene set enrichment analysis (ssGSEA) and the ESTIMATE algorithm. Results: LSM family member overexpression in HCC was significantly correlated with poor clinical outcomes such as higher TNM stage, advanced histologic grade, and worse prognosis. A risk score system based on LSM5, LSM10, LSM12, and LSM14B showed a reliable predictive ability for OS of HCC patients. Functional enrichment analysis demonstrated that LSM family members overexpressed were all involved in cell cycle related biological processes. Besides, LSM12, LSM14A, and LSM14B were found to be significantly associated with PI3K-Akt-mTOR and T cell receptor signaling pathways. Tumors with LSM12, LSM14A, and LSM14B overexpression exhibited lower infiltration of activated CD8+ T cells with declined cytolytic activity and immune score, but increased infiltration of Th2 cells and Th2/Th1. LSM12, LSM14A, and LSM14B overexpression is also associated with higher tumor-related immune checkpoints (e.g., PD-L1, B7-H3, and PVR) expression and increased therapeutic insensitivity to immune checkpoint blockade (ICB). Moreover, the knockdown of LSM12, LSM14A, and LSM14B significantly inhibited the proliferation and invasion of HCC cells. Conclusion: This study systematically investigated the expression pattern and biological values of LSM family members in HCC and identified LSM family members as novel therapeutic targets in HCC.