Marker For Hepatocellular Carcinoma Research Articles

Non-Coding RNAs as Potential Diagnostic/Prognostic Markers for Hepatocellular Carcinoma

Non-Coding RNAs as Potential Diagnostic/Prognostic Markers for Hepatocellular Carcinoma

The fabrication of phosphotungstate@UIO-Au/reduced graphene oxidation for electrochemical ultrasensitive detection of alpha-fetoprotein.

As an early multi-purpose tumor marker of hepatocellular carcinoma, alpha-fetoprotein (AFP) plays a vital role in early diagnosis and treatment. To achieve the early and accurate determination of AFP, the POMOF was fabricated by embedding H3PW12O40 (PW12) into UIO-66-NH2, further immobilized on reduced GO (rGO) and fabricated an innovative POMOF nanocomposite (PW@UIO-Au/rGO) as an electrochemical immunosensor (ECI-sensor). The PW@UIO-Au/rGO achieved 17-fold signal enhancement owing to their synergistic effect, enabling PW@UIO-Au/rGO exhibit high oxidase-like catalytic activity, facilitating their sensing performance. Under optimal experimental conditions, the proposed PW@UIO-Au/rGO ECI-sensor presented excellent sensing performance over a wide range from 0.01 ng mL-1 to 500 ng mL-1 with ultra-low detection of 4.0 pg mL-1. Notably, sensing results in real serum samples were verified by the clinical enzyme-linked immunosorbent assay (ELISA) and electrochemiluminescence immunoassay (ECL) methods with excellent accuracy and consistency, indicating the excellent environmental tolerance of the proposed ECI-sensor. This work provided a promising strategy for designing feasible ultra-sensitive probe for sensing AFP in clinical test.

Unveiling Tim-3 immune checkpoint expression in hepatocellular carcinoma through abdominal contrast-enhanced CT habitat radiomics

IntroductionImmune checkpoint inhibitors (ICIs) are important systemic therapeutic agents for hepatocellular carcinoma (HCC), among which T-cell immunoglobulin and mucin-domain containing protein 3 (Tim-3) is considered an emerging target for ICI therapy. This study aims to evaluate the prognostic value of Tim-3 expression and develop a predictive model for Tim-3 infiltration in HCC.MethodsWe collected data from 424 HCC patients in The Cancer Genome Atlas (TCGA) and data from 102 pathologically confirmed HCC patients from our center for prognostic analysis. Multivariate Cox regression analyses were performed on both datasets to determine the prognostic significance of Tim-3 expression. In radiomics analysis, we used the K-means algorithm to cluster regions of interest in arterial phase enhancement and venous phase enhancement images from patients at our center. Radiomic features were extracted from three subregions as well as the entire tumor using pyradiomics. Five machine learning methods were employed to construct Habitat models based on habitat features and Rad models based on traditional radiomic features. The predictive performance of the models was compared using ROC curves, DCA curves, and calibration curves.ResultsMultivariate Cox analyses from both our center and the TCGA database indicated that high Tim-3 expression is an independent risk factor for poor prognosis in HCC patients. Higher levels of Tim-3 expression were significantly associated with worse prognosis. Among the ten models evaluated, the Habitat model constructed using the LightGBM algorithm showed the best performance in predicting Tim-3 expression status (training set vs. test set AUC 0.866 vs. 0.824).DiscussionThis study confirmed the importance of Tim-3 as a prognostic marker in HCC. The habitat radiomics model we developed effectively predicted intratumoral Tim-3 infiltration, providing valuable insights for the evaluation of ICI therapy in HCC patients.

Fibroblast Heterogeneity in Hepatocellular Carcinoma and Identification of Prognostic Markers Based on Single-cell Transcriptome Analysis.

HCC is a malignant tumor with high morbidity and mortality. Fibroblasts play a key role in the tumor microenvironment (TME). However, the transcriptional regulatory mechanisms of fibroblasts remained unclear in HCC. The aim of this study was to explore the complex role of fibroblasts in hepatocellular carcinoma (HCC) and to reveal their transcriptional regulatory mechanisms. The goal of this study was to discover potential prognostic markers for HCC by analyzing the genetic variations and differentiation process of fibroblasts. Single-cell transcriptome data from the non-tumor liver site and primary tumor site of HCC were acquired from GSE149614, processed, and clustered using the Seurat pipeline. The inferCNV algorithm was applied to infer copy number variations (CNVs) in fibroblasts. Subsequently, the mechanism underlying the interaction between fibroblasts and other cells in the TME of HCC was analyzed using CellChat software. The trajectory of cellular differentiation of fibroblasts from normal state to malignant state was examined using Monocle 2. SCENIC analysis was performed to identify key transcription factors (TFs) in fibroblasts and assess their correlation with HCC prognosis. Finally, qRT-PCR and Transwell assays were carried out to analyze the mRNA expression and cell metastasis. We identified a total of nine different cell types (B cells, cycling cells, endothelial cells, epithelial cells, fibroblasts, hepatocytes, macrophages, plasma cells, and T cells) based on the single-cell transcriptomic data of HCC. Among them, fibroblasts were highly enriched at the primary tumor site, and their number increased with advanced stages. In addition, significant deletions were detected on chromosome 6p of fibroblasts, and genes in this region were remarkably enriched in pathways associated with antigen processing and presentation. Intercellular communication showed that epithelial cells regulated fibroblasts the most. The differentiation of fibroblasts was mainly accompanied by a transition from normal to malignant state. Importantly, CEBPD and FOSB, the TFs most associated with the putative timing of fibroblasts, were under-expressed in human hepatocytes and showed a significant correlation with HCC prognosis. Overexpressed CEBPD inhibited HCC cell migration and invasion. In conclusion, our study revealed that fibroblast recruitment and differentiation, as well as copy number loss at chromosome 6p, were associated with a higher degree of malignancy and immune dysfunction in HCC. The current discoveries provided new insights into the clinical treatment and diagnosis of HCC.

Role of Serum Alpha-fetoprotein in Assessing the Resectability of Hepatocellular Carcinoma

Background: Serum AFP is a well-established tumor marker of hepatocellular carcinoma (HCC) which has already proved its acceptability in confirming the diagnosis and predicting the prognosis of HCC. Objective: The current study is aimed to evaluate the role of serum alpha-fetoprotein in assessing the resectability of HCC. Methods: This was a single-center, cross-sectional study done from September 2020 to August 2021 at the department of Hepatobiliary, pancreatic, and liver transplantation surgery at BSMMU. A total of 27 HCC patients who met the inclusion criteria were enrolled in the study. Clinical, laboratory, and imaging findings were obtained using a standardized data collecting sheet with the patients' informed agreement. AFP was measured by automated chemiluminescence analyzer (LIAISON XL, DiaSorin, Italy) in the Department of Biochemistry & Molecular Biology, BSMMU. Based on the ROC curve of this study, the patients were divided into group 1 with AFP levels 38.45 ng/ml and group 2 with AFP levels >38.45 ng/ml. According to the resectable criteria (TNM stage: I, II, BCLC stage: 0, A, B, CTP grade: A, B, ECOG PS: 0) established for the study, each AFP group was further subdivided into resectable and unresectable subgroups. Finally, the parameters (tumor size, number, location, CTP grade, fibrosis score, performance status, HBV positive, HBV DNA, BCLC and TNM stage) of the resectable and unresectable patients in each AFP group were evaluated. Statistical analyses were performed using SPSS version 22. Quantitative variables were expressed as mean±standard deviation and examined using an unpaired t-test. The qualitative data were represented by frequencies and percentages, and the Chi-Square test and Fisher exact test (where applicable) were used to determine any correlation. The statistical tests were conducted with a 95% confidence interval, and P0.05 was deemed statistically significant. Results: In this study, thirty seven percent (37%) patients ...........

Urgent need for prognostic markers for hepatocellular carcinoma in the light of genomic instability and non-coding RNA signatures

Urgent need for prognostic markers for hepatocellular carcinoma in the light of genomic instability and non-coding RNA signatures

Evaluation of glypican‑3 in patients with hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common cancers occurring worldwide, including Mongolia. Although alpha-fetoprotein (AFP) is a widely used marker for HCC, conflicting studies have been published regarding its specificity and sensitivity towards HCC. Glypican-3 (GPC3) is a different promising biomarker for HCC, and there is some evidence to suggest that this protein may be a more specific marker compared with AFP. GPC3 has been shown to fulfill important roles in cell proliferation and division during embryogenesis, and is rarely found in the tissues of healthy adults. The aim of the present study was to investigate the levels of serum GPC3 (sGPC3) and tissue GPC3 in Mongolian patients with HCC. Serum samples from a total of 270 individuals [HCC group, 90 patients; risk group (RG), 90 subjects; and control group, 90 subjects] were evaluated using enzyme-linked immunosorbent assay to identify the sGPC3 levels. In addition, immunohistochemical analysis of the GPC3 was performed on tissue samples from 50 patients with HCC to evaluate the expression of GPC3. sGPC3 level was found to be significantly increased in the HCC group compared with the RG and the control group, with the area under the curve=0.85 (P<0.001). sGPC3 was found to be significantly associated with hepatitis C virus status and cirrhosis (P<0.05). In addition, the tissue expression of GPC3 was associated with the serum AFP (sAFP) level. Finally, positive staining of GPC3 was observed when the sAFP level of the patient was >20 ng/ml. In conclusion, the results from the present study have supported that GPC3 may be a promising marker for HCC, and can be used as a diagnostic marker alongside AFP.

Nlrp6 overexpression inhibits lipid synthesis to suppress proliferation of hepatocellular carcinoma cells by regulating the AMPK-Srebp1c axis

To investigate the mechanism of Nlrp6 for regulating hepatocellular carcinoma (HCC) progression in light of lipid synthesis regulation. Nlrp6 expression level in HCC tissues of different pathological grades was investigated using RNA-seq data from The Cancer Genome Atlas (TCGA) database, and its correlation with the patients' survival was analyzed with Kaplan-Meier survival analysis. HepG2 cells with adenovirus-mediated Nlrp6 overexpression or knockdown were treated with palmitic acid (PA), and the changes in lipid deposition and cell proliferation were evaluated using Oil Red O staining, CCK-8 assay, EdU staining, and colony formation assay. RT-qPCR and Western blotting were used to detect the changes in expression of lipid synthesis-related genes and the proteins in the AMPK-Srebp1c axis. In a mouse model of hepatic steatosis established in liver-specific Nlrp6 knockout mice by high-fat diet feeding for 24 weeks, liver fibrosis was examined with histological staining, and the changes in expressions of HCC markers and the AMPK-Srebp1c signaling pathway were detected. Nlrp6 expression was significantly reduced in HCC tissues with negative correlations with the pathological grades and the patients' survival (P < 0.0001). In HepG2 cells, Nlrp6 overexpression significantly inhibited lipid deposition and cell proliferation, whereas Nlrp6 knockdown produced the opposite effects. Nlrp6 overexpression strongly suppressed the expression of lipid synthesis-related genes, promoted AMPK phosphorylation, and inhibited Srebp1c expression. The mice with liver-specific Nlrp6 knockout and high-fat feeding showed increased hepatic steatosis, collagen deposition, and AFP expression with reduced AMPK phosphorylation and increased Srebp1c expression. Nlrp6 overexpression inhibits lipid synthesis in HCC cells by regulating the AMPK-Srebp1c axis, which might be a key pathway for suppressing HCC cell proliferation.

Thrombospondin 2 as a Predictive Biomarker for HCC inHepatitis C Patients: A Longitudinal Study Following DAA Therapy.

This multicentre study investigated the dynamics of thrombospondin 2 (TSP2) levels during direct-acting antiviral (DAA) therapy in hepatitis C virus (HCV) infected patients and evaluated TSP2's potential as a predictive marker for hepatocellular carcinoma (HCC). All 134 participants achieved sustained virological response at 12 weeks (SVR12) with DAA therapy, and serum TSP2 levels significantly decreased from before and after treatment (p < 0.001). During the median follow-up period of 6.0 years, HCC after DAA therapy was observed in 16 patients (11.9%). Patients with serum TSP2 High (≥ 32 ng/mL) at SVR12 had a significantly higher cumulative occurrence of HCC than did those without (26.5% vs. 7.0%, p = 0.0033). A multivariate Cox proportional hazards model identified male gender (HR 4.84, p = 0.005), HCC history (HR 4.61, p = 0.017) and TSP2 High (HR 3.93, p = 0.009) as significant independent predictors of HCC occurrence after DAA therapy. The model had a high concordance index of 0.878. Additionally, combining TSP2 High and FIB-4 High (≥ 3.538) at SVR12 yielded high specificity and negative predictive value (0.941 and 0.917, respectively) for predicting HCC. Kaplan-Meier analysis showed a higher HCC incidence in the TSP2 High + FIB-4 High group (log-rank p < 0.0001). In conclusion, TSP2 may be a promising biomarker for personalised HCC surveillance in DAA-treated hepatitis C patients.

Assessment of combined serum sST2 and AFP levels in the diagnosis of hepatocellular carcinoma

Background Hepatocellular carcinoma (HCC) is a common malignant tumor with high morbidity and mortality. Alpha-fetoprotein (AFP) is the most widely used diagnostic serum biomarker, but it still has limited accuracy in detecting HCC, suggesting the necessity of seeking more ideal biomarkers with high sensitivity and specificity. Soluble growth stimulation gene 2 (sST2) form of growth stimulating expression gene 2 (ST2), is expressed in various organs and can bind competitively to interleukin 33 (IL-33). Whether sST2 can serve as a serum biomarker for HCC is largely unknown. Objective To investigate the value of sST2 as a serum diagnostic marker for HCC. Methods This study included 93 newly diagnosed HCC patients (HCC group), 90 chronic hepatitis B patients (CHB group), and 90 healthy individuals (HCs group). Spearman correlation analysis was used to explore the relationships between sST2 and the experimental indicators in HCC group. The receiver operating characteristic (ROC) curve evaluated the efficacy of sST2 alone or in combination with AFP in the diagnosis of HCC. Result The median level of sST2 was significantly higher in HCC group (24.00 [15.20-49.90] ng/mL) compared to CHB group (19.55 [15.23-24.95] ng/mL) and HCs group (7.65 [5.20-10.53] ng/mL). No significant correlations were found between sST2 and other clinical indicators in HCC group. The Area Under Curve (AUC) of ROC curve to distinguish HCC patients from healthy controls and CHB group was 0.861 (sensitivity 82.80%, specificity 72.10%) and 0.709 (sensitivity 80.60%, specificity 52.50%), respectively. When combined with AFP, the AUC increased to 0.963 (sensitivity 82.90%, specificity 94.20%), and 0.895 (sensitivity 72.0%, specificity 100%), respectively. Conclusions The serum level of sST2 increased in HCC and its diagnostic performance is comparable to that of AFP, supporting its potential as a promising biomarker for detection of HCC. The combined use of sST2 and AFP enhances diagnostic efficacy for HCC.

Study of role of melanoma-associated antigen D1 (MAGE-D1) in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) ranks as the fifth most common neoplasm and the third leading cause of cancer-related deaths worldwide. Current serum biomarkers for HCC surveillance and early diagnosis, particularly alpha-fetoprotein (AFP) the most commonly used marker, lack satisfactory sensitivity and specificity, highlighting an urgent need for more effective markers with higher accuracy for early HCC detection. The downregulation of melanoma-associated antigen D1 (MAGE-D1) transcription plays a crucial role in apoptosis and inhibits cancer cell proliferation when expressed ectopically. Moreover, reduced MAGE-D1 expression correlates with improved prognosis in many cancers. Therefore, this study aims to evaluate the diagnostic role of MAGE-D1 in HCC, proposing it as a novel biomarker for early diagnosis and monitoring of tumor progression. Serum MAGE-D1 expression was measured using RT-qPCR on 198 subjects, divided into three groups: 88 with HCC, 56 with chronic liver conditions, and 54 as healthy controls. With a sensitivity of 93.3% and a specificity of 97.5%, MAGED-1 shows strong potential as a diagnostic marker for HCC. The performance of serum MAGED-1 expression in discrimination between HCC and chronic liver condition revealed an area under the curve (AUC) of 0.939 using the cutoff (0.752) yielded a sensitivity of 90%, specificity of 85%, and an accuracy of 91%. Evaluation of the diagnostic significance of MAGED-1 demonstrated an AUC value of 0.726, with a sensitivity of 63.6% and a specificity of 73.5%. In conclusion, MAGED-1 might be a specific and sensitive biomarker for HCC, potentially improving the malignancy diagnosis and prognosis.

Evaluation of The Role of Serum Epidermal Growth Factor Like Domain 7 as A New Non-Invasive Diagnostic Marker for Hepatocellular Carcinoma in Egyptian Cirrhotic Patients

Evaluation of The Role of Serum Epidermal Growth Factor Like Domain 7 as A New Non-Invasive Diagnostic Marker for Hepatocellular Carcinoma in Egyptian Cirrhotic Patients

A combined model of six serum microRNAs as diagnostic markers for hepatocellular carcinoma

BackgroundHepatocellular carcinoma (HCC) is associated with high morbidity and mortality, and its poor prognosis is mainly due to the lack of an effective means of early diagnosis. This study aimed to identify a group of serum microRNAs (miRNAs) as potential biomarkers for the diagnosis of HCC. MethodsWe collected 190 HCC cases, 109 benign lesions of the liver, 40 cases of non-HCC tumors, and 130 healthy controls. The 469 participants were divided into training and validation sets. A literature search revealed 12 miRNAs closely associated with HCC. In the training set, significantly differentially expressed miRNAs (DEmiRNAs) were screened using real-time quantitative PCR, and a diagnostic model of HCC was constructed using logistic regression analysis. An independent validation was performed using a validation set. The identified DE miRNAs were subjected to target gene prediction and functional analyses. ResultsCompared to the controls, the levels of miR-21, miR-221, miR-801, and miR-1246 significantly decreased in HCC (P < 0.05), while the levels of miR-26a and miR-122 significantly increased (P < 0.05). A diagnostic model based on the six DE miRNAs was successfully constructed, with AUC values of 0.953 for the training set and 0.952 for the verification set. Finally, 100 target genes of the DE miRNAs were predicted and were significantly enriched in the B cell receptor, neurotrophin, ferroptosis, and EGFR tyrosine kinase inhibitor resistance signaling pathways. ConclusionsThe constructed diagnostic model based on six DE miRNA combinations has important clinical value for the early diagnosis of HCC

Effect and mechanism of the PTMAP5–hsa-miR-22-3p–KIF2C regulatory axis on the occurrence and development of hepatocellular carcinoma

Hepatocellular carcinoma (HCC), a primary liver cancer, is known for its high malignancy potential. Despite extensive research, the etiology of HCC remains elusive, with numerous molecular mechanisms yet to be deciphered. This study delves into the influence and mechanism of the PTMAP5&amp;ndash;hsa-miR-22-3p&amp;ndash;KIF2C regulatory axis in HCC pathogenesis. A comparative analysis of gene expression profiles between the GSE87630 and GSE45267 datasets unveiled a cohort of 346 differentially expressed genes. Protein&amp;ndash;protein interaction networks were established using the STRING database, and key genes were identified through receiver operating characteristic curve analysis and LASSO regression analysis. The expression and prognostic value of these key genes were further evaluated using GEPIA and Kaplan&amp;ndash;Meier analysis. Upstream miRNAs were predicted using the MiRTarBase and StarBase databases, facilitating the construction of the PTMAP5&amp;ndash;hsa-miR-22-3p&amp;ndash;KIF2C regulatory axis. Co-expression analysis of KIF2C was performed through UALCAN and StarBase, and the regulatory axis was found to play a pivotal role in HCC development through the cell cycle, oocyte meiosis, and FOXO signaling, as revealed by DAVID enrichment analysis. Furthermore, the expression and prognostic significance of KIF2C in various cancer types were assessed using TIMER and GEPIA, while TISIDB analysis revealed correlations between KIF2C expression and relevant major histocompatibility complex molecules, immunomodulators, chemokines, receptors, and immune variants in HCC. These findings also extended to HCC molecular subtypes. In conclusion, we constructed a novel PTMAP5&amp;ndash;hsa-miR-22-3p&amp;ndash;KIF2C regulatory subnetwork, which could provide valuable therapeutic targets and diagnostic markers for HCC.

Proteogenomic Identification and Analysis of KIF5B as a Prognostic Signature for Hepatocellular Carcinoma.

Metabolic disorders are significant risk factors for liver cancer, particularly Hepatocellular Carcinoma (HCC). However, the molecular genetic basis of metabolic reprogramming in the liver remains largely uncertain. This study aimed to investigate some novel prognostic biomarkers in HCC by using proteogenomic and transcriptomic analysis and explore the potential role of specific prognostic genes in HCC. Here, we have presented a proteogenomic analysis of 10 pairs of HCC. Protein co-expression and pathway analysis were performed to investigate the biological characteristics of HCC. Protein and mRNA expression profiles of multi-cohorts were integrated to detect novel prognostic protein markers of HCC. The carcinogenic roles of candidate prognostic markers were further evaluated by MTS assay, colony formation, monolayer wound healing assay, and xenograft models. A total of 2086 proteins with significantly different expressions were detected in HCC. Pathways related to oncogenic signaling and insulin-related metabolism have been found to be dysregulated and differentially regulated in HCC. We have identified the novel prognostic biomarkers, KIF5B, involved in liver metabolic reprogramming. The biomarkers were identified using multivariable COX regression analysis from two independent proteomic datasets (Fudan Cohort and our recruited cohort) and the TCGA mRNA database. Both the protein and mRNA up-regulation of KIF5B have been found to be associated with a poor clinical outcome in HCC. Insulin activated the protein expression of KIF5B in HCC. Knocking out KIF5B expression by sgRNA decreased the protein expression of FASN and SCD1 and the intracellular triglyceride concentration. Silencing KIF5B suppressed HCC cell proliferation and colony formation in vitro, as well as HCC growth in xenograft models. Our findings have suggested KIF5B protein to function as a novel prognostic biomarker in HCC. KIF5B expression has been found to activate the AKT/mTOR pathway and reprogram triglyceride metabolism, leading to HCC development. Targeting KIF5B may be an effective strategy in the clinical treatment of HCC.

ALDH1L2 drives HCC progression through TAM polarization

Background & AimsDysregulation of one-carbon metabolism is considered an early hallmark of mitochondrial dysfunction and cancer metabolism. ALDH1L2 belongs to the aldehyde dehydrogenase family and plays an important role in tumor progression. However, little is known about the precise role and underlying mechanisms of ALDH1L2 in hepatocellular carcinoma (HCC). MethodsImmunohistochemistry, Western blotting and immunofluorescence staining were used to evaluate ALDH1L2 expression in HCC samples (n=90) and cell lines (n=9). A series of in vitro and in vivo assays were performed to explore the role and molecular mechanism of ALDH1L2 in HCC progression. ResultsALDH1L2 upregulation is associated with poor prognosis in HCC (HR 1.923; 95% CI 1.03-3.59; p=0.04). ALDH1L2 promotes tumor cell proliferation and metastasis by activating NRF2/IL-6/STAT3 signaling. ALDH1L2 promotes mitochondrial respiration, increases ATP production and protects HCC cells from reactive oxygen species (ROS)-induced cellular damage via NRF2 stabilization. NRF2 also directly binds to the ALDH1L2 promoter and increases ALDH1L2 transcription, thereby establishing a positive feedback loop to maintain the function of ALDH1L2. The interaction between tumor-associated macrophages (TAMs) and ALDH1L2-overexpressing HCC cells further promotes HCC progression. In addition, ALDH1L2 knockdown enhances the anti-HCC activity of the tyrosine kinase inhibitor sorafenib. ConclusionsThese findings provide the first evidence indicating that ALDH1L2 is directly involved in tumor progression by interacting with TAMs through the Jak2/STAT3 signaling pathway and that ALDH1L2 may be a target molecule for HCC therapy. Impact and implicationsThis research highlights that ALDH1L2 could serve as a predictive and prognostic marker in HCC. We found that a positive feedback loop between ALDH1L2 and NRF2 promotes HCC progression by activating the IL-6/Jak2/STAT3 signaling axis and TAM polarization. In addition, we found that ALDH1L2 knockdown enhances the anti-HCC effect of sorafenib.

Identification of a lactylation-related gene signature to characterize subtypes of hepatocellular carcinoma using bulk sequencing data.

Prior studies indicate that lactylation regulates various biological mechanisms within cancer. However, lactylation-related genes (LRGs) have been found to have limited value in predicting the prognosis of hepatocellular carcinoma (HCC). The aim of this study was to review HCC LRGs using data from The Cancer Genome Atlas (TCGA). The RNA sequencing data and related clinical information of patients with HCC patients were collected from the TCGA database. A total of 20 LRGs were selected and bioinformatics analysis was performed. A consistency cluster analysis was conducted to classify the HCC tumors. Using a lactylation-related model of HCC, prognosis, immune cell infiltration, and immunotherapy was evaluated. A total of 4,378 genes were associated with prognosis. Twenty LRGs (i.e., ACIN1, RAN, PPP1CB, ALDOB, SUMO2, THOC2, HDAC1, SF3A1, SF3B1, HNRNPM, PPP1CC, SRRM1, PRPF6, HDAC2, H2AFV, ALYREF, H2AFZ, H2AFX, HNRNPK, and MAGOH) were identified. The 20 LRGs were used to divide TCGA-HCC patients into low-risk (G1) and high-risk (G2) categories. The upregulated genes in the G1 group primarily participate in the p53 signaling pathway, focal adhesion, extracellular matrix (ECM)-receptor interaction, and cell cycle, while the downregulated genes primarily participate in the glycolysis/gluconeogenesis, carbon metabolism, and biosynthesis of amino acids. The box plots showed a significant difference in the immune cell populations, with a higher abundance of B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and myeloid dendritic cells in the G1 than the G2 HCC samples. Further, the box plots showed higher expression levels of seven of the eight immune checkpoint inhibitor (ICI)-related genes in the G1 HCC samples than the G2 samples. There was a significant disparity in the cancer stem cell (CSC) scores between the G1 and G2 TCGA-HCC patients. Additionally, the G1 TCGA-HCC patients had higher tumor immune dysfunction and exclusion (TIDE) scores than the G2 TCGA-HCC patients. The prognosis of the HCC patients was also predicted using a six-LRG model, comprising HDAC2, SRRM1, SF3B1, HDAC1, THOC2, and PPP1CB. Strong correlation between LRGs and tumor classification as well as immunity in patients with HCC was identified. LRG signatures serve as reliable prognostic markers for HCC.

AIBP promotes cell proliferation and migration through the ERK1/2-MAPK signaling pathway in hepatocellular carcinoma.

As a highly aggressive cancer, hepatocellular carcinoma (HCC) is often found at an advanced stage and has a poor prognosis. Therefore, in addition to the surgical treatment of HCC, the drug therapy for HCC is still under continuous exploration. The primary apolipoprotein of high-density lipoproteins (HDLs) is apolipoprotein A-I binding protein (AIBP), which has a significant impact on cholesterol metabolism, angiogenesis, and a wide range of inflammatory disorders, including cancer. The AIBP function in HCC is, however, yet unknown. This study aims to reveal the underlying mechanisms of AIBP influencing HCC proliferation and migration through mitogen-activated protein kinase (MAPK) pathways. AIBP expression and its clinical prognostic association were investigated using The Cancer Genome Atlas (TCGA) data. The AIBP expression was studied in human HCC tissues using immunohistochemistry (IHC) and western blotting. Colony formation assays (CFAs) and cell counting kit-8 (CCK-8) were used to determine in vitro cell proliferation. Cell migration and invasion were evaluated using wound-healing and transwell assays. A xenograft tumor model was employed to investigate HCC cell proliferation in nude mice. Tissues from HCC patients had much increased AIBP expression compared to nearby normal tissues. The prognosis for patients was bleak when AIBP expression was high. When AIBP was overexpressed in SMMC-7721 cells, the cells may become more proliferative, migrative, and invasive. In contrast, the HCC-LM3 cells' ability to proliferate, migrate, and invade was drastically decreased once AIBP was knocked down in vitro. Furthermore, in vivo research showed that AIBP overexpression may enhance cell proliferation in HCC. Finally, we discovered that AIBP could control the MAPK signaling pathway-involved genes expression, including P-MEK, MEK, c-Myc, P-ERK1/2, and ERK1/2, and that GDC-0994, a specific ERK1/2 inhibitor, could suppress the AIBP overexpression induced cell migration and proliferation abilities. These findings demonstrated that the ERK/MAPK signaling pathway might be stimulated by AIBP in HCC tissues, leading to increased cell invasion, migration, and proliferation. It was hypothesized that AIBP might act as a useful prognostic and diagnostic marker for HCC.

Lecithin-cholesterol acyltransferase is a potential tumor suppressor and predictive marker for hepatocellular carcinoma metastasis

BACKGROUND Hepatocellular carcinoma (HCC) is a major cause of cancer mortality worldwide, and metastasis is the main cause of early recurrence and poor prognosis. However, the mechanism of metastasis remains poorly understood. AIM To determine the possible mechanism affecting HCC metastasis and provide a possible theoretical basis for HCC treatment. METHODS The candidate molecule lecithin-cholesterol acyltransferase (LCAT) was screened by gene microarray and bioinformatics analysis. The expression levels of LCAT in clinical cohort samples was detected by quantitative real-time polymerase chain reaction and western blotting. The proliferation, migration, invasion and tumor-forming ability were measured by Cell Counting Kit-8, Transwell cell migration, invasion, and clonal formation assays, respectively. Tumor formation was detected in nude mice after LCAT gene knockdown or overexpression. The immunohistochemistry for Ki67, E-cadherin, N-cadherin, matrix metalloproteinase 9 and vascular endothelial growth factor were performed in liver tissues to assess the effect of LCAT on HCC. Gene set enrichment analysis (GSEA) on various gene signatures were analyzed with GSEA version 3.0. Three machine-learning algorithms (random forest, support vector machine, and logistic regression) were applied to predict HCC metastasis in The Cancer Genome Atlas and GEO databases. RESULTS LCAT was identified as a novel gene relating to HCC metastasis by using gene microarray in HCC tissues. LCAT was significantly downregulated in HCC tissues, which is correlated with recurrence, metastasis and poor outcome of HCC patients. Functional analysis indicated that LCAT inhibited HCC cell proliferation, migration and invasion both in vitro and in vivo . Clinicopathological data showed that LCAT was negatively associated with HCC size and metastasis (HCC size ≤ 3 cm vs 3-9 cm, P &lt; 0.001; 3-9 cm vs &gt; 9 cm, P &lt; 0.01; metastatic-free HCC vs extrahepatic metastatic HCC, P &lt; 0.05). LCAT suppressed the growth, migration and invasion of HCC cell lines via PI3K/AKT/mTOR signaling. Our results indicated that the logistic regression model based on LCAT, TNM stage and the serum level of α-fetoprotein in HCC patients could effectively predict high metastatic risk HCC patients. CONCLUSION LCAT is downregulated at translational and protein levels in HCC and might inhibit tumor metastasis via attenuating PI3K/AKT/mTOR signaling. LCAT is a prognostic marker and potential therapeutic target for HCC.

Overactivation of Signal Transducer and Activator of Transcription 3 in Canine Hepatocellular Carcinoma and Its Prognostic Significance.

Phosphorylated signal transducer and activator of transcription 3 (pSTAT3), which is related to anti-apoptosis, cellular proliferation, invasion and migration of tumours, has prognostic significance in malignant tumours in humans as well as in canine melanoma. However, the significance of pSTAT3 in canine liver tissues has not yet been evaluated. This study's objective was to compare its expression in canine normal, non-neoplastic hepatic disease and hepatocellular carcinoma (HCC) tissues by immunohistochemical analysis. Furthermore, the association between pSTAT3 immunostaining and clinicopathological factors was investigated. Overall, 68 canine liver tissues, including 10 normal liver tissues, 30 non-neoplastic hepatic disease tissues and 28 HCC tissues were examined, revealing distinct differences in pSTAT3 immunostaining among the groups. (p < 0.001). Additionally, high pSTAT3 immunostaining was significantly associated with increased tumour size (5 > cm) (p = 0.041), and metastasis (p = 0.046). Furthermore, Kaplan-Meier survival curve analysis revealed a correlation between high pSTAT3 immunostaining and poor disease-free survival (p = 0.013) and overall survival (p = 0.011). These findings suggest that overactivation of STAT3 is associated with poor prognosis in canine HCC. Therefore, pSTAT3 is considered a potential prognostic marker and therapeutic target for canine HCC.