Liver Cancer Tissues Research Articles

Causal relationship between ferroptosis-related gene HSPA5 and hepatocellular carcinoma: study based on mendelian randomization and mediation analysis.

To explore the causal relationship between ferroptosis-related gene heat shock protein A5 (HSPA5) and hepatocellular carcinoma (HCC). A two-sample Mendelian randomization (MR) design was employed to evaluate the causal relationships among HSPA5, regulatory T cells (Tregs), and liver cancer. Single nucleotide polymorphisms (SNPs) associated with HSPA5, HCC and Tregs were selected as instrumental variables through publicly available genome-wide association studies (GWAS) databases. MR analysis was used to assess the direct effect of HSPA5 on HCC, followed by two-step MR to analyze the potential mediating role of Tregs. Reverse MR analysis was conducted with liver cancer as the exposure and HSPA5 as the outcome. Inverse variance weighting (IVW) was the primary method for testing causal associations in all MR analyses. Robustness of the results was confirmed through MR Egger, weighted median, weighted mode, and simple mode methods. Heterogeneity of instrumental variables was evaluated using Cochrane's Q statistic, while pleiotropy was tested by MR-Egger intercept and MR-PRESSO, with leave-one-out sensitivity analysis performed for robustness. Data from The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) were utilized to verify the expression levels of HSPA5 in liver cancer tissues and its correlation with Tregs to reveal the interaction mechanisms between HSPA5 and Tregs in HCC progression and their relationship with patient prognosis. MR analysis showed a positive correlation between elevated HSPA5 expression and liver cancer risk (all P<0.01), while reverse MR analysis found no statistically significant association between liver cancer and HSPA5 (P>0.05). HSPA5 expression was significantly correlated with Tregs function (all P<0.05), and the enrichment of Tregs in the liver cancer microenvironment was positively associated with liver cancer progression (all P<0.05). Mediation analysis indicated that Tregs accounted for 5.00% and 7.45% of the mediation effect between HSPA5 and liver cancer. TCGA and HPA database analysis revealed that both HSPA5 mRNA and protein expression levels were higher in liver cancer tissues compared to normal tissues, and high HSPA5 expression was significantly associated with poor patient prognosis. Immune infiltration analysis confirmed a significant positive correlation between HSPA5 and Tregs, with high Tregs infiltration closely related to HCC progression. Elevated HSPA5 expression is significantly associated with HCC development and poor prognosis. HSPA5 may promote HCC progression by regulating the function of Tregs in the tumor microenvironment.

Pressure loading regulates the stemness of liver cancer stem cells via YAP/BMF signaling axis.

Cancer stem cells (CSCs) are considered the major cause of the occurrence, progression, chemoresistance/radioresistance, recurrence, and metastasis of cancer. Increased interstitial fluid pressure (IFP) is a key feature of solid tumors. Our previous study showed that the distribution of liver cancer stem cells (LCSCs) correlated with the mechanical heterogeneity within liver cancer tissues. However, the regulation of liver cancer's mechanical microenvironment on the LCSC stemness is not fully understood. Here, we employed a cellular pressure-loading device to investigate the effects of normal IFP (5 mmHg), as well as increased IFP (40 and 200 mmHg) on the stemness of LCSCs. Compared to the control LCSCs (exposure to 5 mmHg pressure loading), the LCSCs exposed to 40 mmHg pressure loading exhibited significantly upregulated expression of CSC markers (CD44, EpCAM, Nanog), enhanced sphere and colony formation capacities, and tumorigenic potential, whereas continuously increased pressure to 200 mmHg suppressed the LCSC characteristics. Mechanistically, pressure loading regulated Yes-associated protein (YAP) activity and Bcl-2 modifying factor (BMF) expression. YAP transcriptionally regulated BMF expression to affect the stemness of LCSCs. Knockdown of YAP and overexpression of BMF attenuated pressure-mediated stemness and tumorgenicity, while YAP-deficient and BMF-deletion recused pressure-dependent stemness on LCSCs, suggesting the involvement of YAP/BMF signaling axis in this process. Together, our findings provide a potential target for overcoming the stemness of CSCs and elucidate the significance of increased IFP in cancer progression.

Dihydroartemisinin inhibits ATP6 activity, reduces energy metabolism of hepatocellular carcinoma cells, promotes apoptosis and inhibits metastasis via CANX.

Dihydroartemisinin (DHA) may inhibit the migration and invasion of liver cancer cells by reducing ATP synthase production (specifically ATP1A1 and ATP5H) through the calcium/calmodulin dependent protein kinase kinase 2/solute carrier family 8 member B1 signaling pathway. However, it is unclear whether DHA regulates ATP synthase activity by modulating other calcium ion signals to inhibit the energy metabolism and the transfer of hepatocellular carcinoma (HCC) cells. Using the Gene Expression Profiling Interactive Analysis database, a search for specific expression genes in liver cancer tissues was performed. Human HCC HuH-7 and Li-7 cells were used to produce CANX overexpression and small interfering RNA cell models. The study assessed changes in cell proliferation, apoptosis, migration and invasion. Reactive oxygen species production, ATP production, mitochondrial membrane potential (JC-1), NAD+/NADH ratio and mitochondrial fluorescence were also evaluated. Western blotting was used to assess changes in CANX, ATP6V1 domain (ATP6V1F) and V0 domain (ATP6V0B) protein expression levels. The results demonstrated that CANX is highly expressed in liver cancer tissues. Furthermore, CANX regulated malignant biological behavior, mediated mitochondrial function and energy metabolism. However, these effects were inhibited by DHA, which decreased the expression of CANX, ATP6V0B and ATP6V1F. The findings of the present study underscore the central role of CANX in affecting the malignant biological behavior of liver cancer cells by regulating mitochondrial function and energy metabolism. Additionally, they indicate that DHA serves an anticancer role by inhibiting CANX expression.

PYCR1 promotes liver cancer cell growth and metastasis by regulating IRS1 expression through lactylation modification.

Liver cancer (LC) is among the deadliest cancers worldwide, with existing treatments showing limited efficacy. This study aimed to elucidate the role and underlying mechanisms of pyrroline-5-carboxylate reductase 1 (PYCR1) as a potential therapeutic target in LC. Immunohistochemistry and Western blot were used to analyse the expression of PYCR1 in LC cells and tissues. EdU assays, colony-forming assays, scratch wound healing assays, Transwell assays, nude mouse xenograft models and nude mouse lung metastasis models were used to detect the growth and metastasis abilities of LC cells. Transcriptome sequencing was used to search for downstream target genes regulated by PYCR1, and metabolomics was used to identify the downstream metabolites regulated by PYCR1. ChIP assays were used to analyse the enrichment of H3K18 lactylation in the IRS1 promoter region. We found that the expression of PYCR1 was significantly increased in HCC and that this high expression was associated with poor prognosis in HCC patients. Knockout or inhibition of PYCR1 inhibited HCC cell proliferation, migration and invasion both in vivo and in vitro. In addition, we revealed that knocking out or inhibiting PYCR1 could inhibit glycolysis in HCC cells and reduce H3K18 lactylation of the IRS1 histone, thereby inhibiting IRS1 expression. Our findings identify PYCR1 as a pivotal regulator of LC progression that influences tumour cell metabolism and gene expression. By demonstrating the potential of targeting PYCR1 to inhibit LC cell proliferation and metastasis, this study identified PYCR1 as a promising therapeutic target for LC. Pyrroline-5-carboxylate reductase 1 (PYCR1) promotes the proliferation and metastasis of liver cancer (LC) cells. The expression of PYCR1 in LC is regulated by DNA methylation. Knocking down or inhibiting PYCR1 inhibits glycolysis as well as the PI3K/AKT/mTOR and MAPK/ERK pathways in LC cells. PYCR1 regulates the transcriptional activity of IRS1 by affecting H3K18 lactylation in its promoter region.

NEIL3 Upregulated by TFAP2A Promotes M2 Polarization of Macrophages in Liver Cancer via the Mediation of Glutamine Metabolism

Introduction: Tumor-associated macrophages, which are part of the tumor microenvironment, are a major factor in cancer progression. However, a complete understanding of the regulatory mechanism of M2 polarization of macrophages (Mø) in liver cancer is yet to be established. This study aimed to investigate the potential mechanism by which NEIL3 influenced M2 Mø polarization in liver cancer. Methods: Bioinformatics analysis analyzed NEIL3 expression and its enriched pathways in liver cancer tissue, as well as its correlation with pathway genes. The upstream transcription factor of NEIL3, TFAP2A, was predicted and its expression in liver cancer tissue was analyzed. The binding relationship between the two was analyzed by dual-luciferase reporter and chromatin immunoprecipitation experiments. qRT-PCR assessed NEIL3 and TFAP2A levels in liver cancer cells. Cell viability was detected by CCK-8, while CD206 and CD86 expression was detected by immunofluorescence. IL-10 and CCR2 expressions were assessed using qRT-PCR, and M2 Mø quantity was detected using flow cytometry. Reagent kits tested glutamine (Gln) consumption, α-ketoglutarate, and glutamate content, as well as NADPH/NADP+ and GSH/GSSG ratios. Expression of Gln transport proteins was detected using Western blot. An animal model was established to investigate the influence of NEIL3 expression on liver cancer growth. Results: NEIL3 was highly expressed in liver cancer and promoted Mø M2 polarization through Gln metabolism. TFAP2A was identified as the upstream transcription factor of NEIL3 and was highly expressed in liver cancer. Rescue experiments presented that overexpression of NEIL3 reversed the suppressive effect of TFAP2A knockdown on Mø M2 polarization in liver cancer. In vivo experiments demonstrated that the knockdown of NEIL3 could significantly repress the growth of xenograft tumors. Conclusion: This study suggested that the TFAP2A/NEIL3 axis promoted Mø M2 polarization through Gln metabolism, providing a theoretical basis for immune therapy targeting the liver cancer TME.

Study on the Expression, Prognosis, and Clinical Features of HOXA6 in Liver Cancer

Objective: To study and analyze the expression level of homeobox A6 (HOXA6) in patients with liver cancer and its correlation with prognosis. Methods: From January 2020 to July 2021, 43 patients with liver cancer who underwent surgery without prior radiotherapy or chemotherapy were selected. Liver cancer tissues and adjacent tissues were collected, and the expression levels of HOXA6 mRNA and protein were measured using RT-qPCR and Western blot. The expression level of HOXA6 in tumor tissues (without radiotherapy and chemotherapy) was compared with that in adjacent tissues. Additionally, the prognosis and clinical characteristics of patients with low HOXA6 expression were compared to those with high HOXA6 expression, and the factors influencing high HOXA6 expression in liver cancer patients were analyzed. Results: HOXA6 mRNA and protein expression levels in tumor tissues were significantly higher than in adjacent tissues (P &lt; 0.05). There was no significant difference in the 1-year and 2-year survival rates between the high HOXA6 expression group and the low HOXA6 expression group (P &gt; 0.05). However, the 3-year survival rate was lower in the high HOXA6 expression group compared to the low HOXA6 expression group (P &lt; 0.05). There were no statistically significant differences between the two groups in terms of gender, age, tumor diameter, alpha-fetoprotein levels, or hepatitis B virus DNA levels (P &gt; 0.05). However, significant differences were found in the number of tumor lesions, degree of differentiation, and the proportion of tumor metastasis between the two groups (P &lt; 0.05). Multivariate logistic regression analysis revealed that the number of tumor lesions, degree of differentiation, and tumor metastasis were influencing factors for high HOXA6 expression in liver cancer patients (P &lt; 0.05). Conclusion: HOXA6 expression levels are abnormally elevated in liver cancer patients, and higher HOXA6 expression is associated with a worse 3-year survival rate. The factors influencing HOXA6 expression include the number of tumor lesions, degree of differentiation, and tumor metastasis.

Mechanism of emodin in treating hepatitis B virus-associated hepatocellular carcinoma: network pharmacology and cell experiments.

Hepatocellular carcinoma (HCC) is a pressing global issue, with Hepatitis B virus (HBV) infection remaining the primary. Emodin, an anthraquinone compound extracted from the natural plant's. This study investigates the moleculartargets and possible mechanisms of emodin in treating HBV-related HCC based on network pharmacology and molecular docking and validates the screened molecular targets through in vitro experiments. Potential targets related to emodin were obtained through PubChem, CTD, PharmMapper, SuperPred, and TargetNet databases. Potential disease targets for HBV and HCC were identified using the DisGeNET, GeneCards, OMIM, and TTD databases. A Venn diagram was used to determine overlapping genes between the drug and the diseases. Enrichment analysis of these genes was performed using GO and KEGG via bioinformatics websites. The overlapping genes were imported into STRING to construct a protein-protein interaction network. Cytoscape 3.9.1 software was used for visualizing and analyzing the core targets. Molecular docking analysis of the drug and core targets was performed using Schrodinger. The regulatory effects of emodin on these core targets were validate through in vitro experiments. A total of 43 overlapping genes were identified. GO analysis recognized 926 entries, and KEGG analysis identified 135 entries. The main pathways involved in the KEGG analysis included cancer, human cytomegalovirus infection and prostate cancer. The binding energies of emodin with HSP90AA1, PTGS2, GSTP1, SOD2, MAPK3, and PCNA were all less than -5 kcal/mol. Compared to normal liver tissue, the mRNA levels of XRCC1, MAPK3, and PCNA were significantly elevated in liver cancer tissue. The expression levels of XRCC1, HIF1A, MAPK3, and PCNA genes were closely related to HCC progression. High expressions of HSP90AA1, TGFB1, HIF1A, MAPK3, and PCNA were all closely associated with poor prognosis in HCC. In vitro experiments demonstrated that emodin significantly downregulated the expression of HSP90AA1, MAPK3, XRCC1, PCNA, and SOD2, while significantly upregulating the expression of PTGS2 and GSTP1. This study, based on network pharmacology and molecular docking validation, suggests that emodin may exert therapeutic effects on HBV-related HCC by downregulating the expression of XRCC1, MAPK3, PCNA, HSP90AA1, and SOD2, and upregulating the expression of PTGS2 and GSTP1.

Weighted gene co-expression network analysis identified GBP2 connected to PPARα activity and liver cancer

Liver cancer is the fourth leading cause of cancer-related deaths with a steadily increasing rate worldwide, as a well-known hallmark of liver cancer, metabolic alterations are related to liposomal changes, a common characteristic of primary liver cancers based on recent lipidomics studies. Peroxisome proliferator-activated receptor α (PPARα) is a ligand-activated transcription factor with important lipid homeostasis function, therefore we aimed to understand the molecular mechanisms and pathways that activate PPARα after using PPAR-α agonist WY-14643 and identify candidate biomarkers related to PPARα activity and evaluate their effects in liver cancer. The data from differently expressed genes (DEGs) between liver cancer tissue from obese subjects alone and liver tissue after treatment were evaluated by DESeq2 and module genes were analyzed using weighted gene co-expression network analysis (WGCNA). Final candidate genes were identified by intersecting genes among highly ranked DEGs and the brown module, which demonstrated a significant negative correlation with drug treatments. We conducted a protein–protein interaction network, and KEGG enrichment analysis, and core hub genes (CD40, CXCL9, CXCL10, TNFSF14, GBP2, GBP3, APOL3, CLDN1) were identified using the cyto-hubba plugin, among them we focused on GBP2 that plays key roles in oncogenesis and evaluate its expressional with clinical outcomes. In conclusion, the WGCNA-based co-expression network identified GBP2 as one of the hub genes with a negative relation with PPARα agonist treatments. higher expression of GBP2 was closely associated with HCC progression. Therefore, GBP2 might be a potential candidate for the study of PPARα activity in HCC.

Apelin (APLN) is a biomarker contributing to the diagnosis and prognosis of hepatocellular carcinoma

Liver cancer, classified as a malignant hepatic tumor, can be divided into two categories: primary, originating within the liver, and secondary, resulting from metastasis to the liver from other organs. Hepatocellular carcinoma (HCC) is the main form of primary liver cancer and the third leading cause of cancer-related deaths. The diagnosis and prognosis of HCC using current methods still face numerous challenges. This study aims to develop novel diagnostic and prognostic models while identifying new biomarkers for improved HCC treatment. Diagnostic and prognostic models for HCC were constructed using traditional binary classification methods and machine learning algorithms based on the TCGA database (Downloaded in August 2023). The mechanisms by which APLN (Apelin) affects HCC were investigated using single-cell sequencing data sourced from the GEO database (GSE149614). The diagnostic models yielded by various algorithms could effectively distinguished HCC samples from normal ones. The prognostic model, composed of four genes, was constructed using LASSO and Cox regression algorithms, demonstrating good performance in predicting the three-year survival rate of HCC patients. The HCC biomarker Apelin (APLN) was identified in this study. APLN in liver cancer tissues mainly comes from endothelial cells and is associated with the carcinogenesis of these cells. APLN expression is significantly upregulated in liver cancer tissues, marking it as a viable indicator of endothelial cell malignancy in HCC. Furthermore, APLN expression was determined to be an independent predictor of tumor endothelial cell carcinogenesis, unaffected by its modifications such as single nucleotide variation, copy number variation, and methylation. Additionally, liver cancers characterized by high APLN expression are likely to progress rapidly after T2 stage. Our study presents diagnostic and prognostic models for HCC with appreciably improved accuracy and reliability compared to previous reports. APLN is a reliable HCC biomarker and contributes to the establishment of our models.

CNDP1 Suppresses the Malignant Behavior of Hepatoma Cell via Restricting PI3K-AKT-mTOR Activation.

Hepatocellular carcinoma (HCC) is a global health problem with increasing morbidity and mortality, and exploring the diagnosis and treatment of HCC at the gene level has been a research hotspot in recent years. In this paper, a series of differentially expressed genes were found from the biochip related to HCC by bioinformatic analysis, then CNDP1 was finally selected for in-depth study according to the function and research progress of each gene. As the rate-limiting enzyme of carnosine hydrolysis, CNDP1 participates in the progress of many diseases, but its function has not been revealed in HCC. In the follow-up study, the low expression of CNDP1 in liver cancer tissues and cells was verified, then the pcDNA3.1-CNDP1 was used to improve the expression level of CNDP1 in HCC cell lines. Furthermore, this paper found that CNDP1 overexpression could significantly suppress cell prolifer-ation, migration, and invasion of HCC cell lines. Mechanismly, the GeneMANIA database predicted that CNDP1 could interact with various proteins that regulate the PI3K-AKT-mTOR signaling pathway, which is overactivated in HCC. And this study showed that CNDP1 overexpression could effectively inhibit the activation of PI3K-AKT-mTOR signaling pathways, more significantly, inhibition of PI3K-AKT-mTOR signaling pathway could disrupt the anti-cancer effect of CNDP1 on HCC. In conclusion, we confirmed that CNDP1 was lowly expressed in HCC tissues and cells, and had potential anti-cancer activity. This discovery will lay a cytological foundation for expanding the biological function of CNDP1 and the diagnosis and treatment of HCC in the future.

Kinesin Family Member C1: Function in liver hepatocellular carcinoma and potential target for chemotherapeutic

MiR-105 exerts inhibitory effects on the development and progression of various cancers, including breast cancer, lung cancer, and gastric cancer. Through GEO data analysis, we observed decreased expression of miR-105 in liver cancer tissues compared to adjacent tissues. Furthermore, miR-105 downregulates KIFC1 expression levels by targeting its 3' UTR. KIFC1 (Kinesin Family Member C1), a Protein Coding gene, may play a role in mitotic metaphase plate polymerization and mitotic spindle assembly. However, our findings suggest that this gene could serve as a potential chemotherapeutic target for Liver hepatocellular carcinoma (LIHC). We obtained the LIHC dataset from the TCGA database and genotype Tissue Expression Project (GTEx) normal tissue data for differential analysis. Additionally, we utilized the cBioPortal database, tumor immune single-cell center (TISCH) database, gene set enrichment analysis (GSEA), and R software to investigate the possible functions and mechanisms of KIFC1. These findings were further validated through experiments such as immunohistochemistry and wound healing assays. Our results indicate that KIFC1 might be involved in DNA repair and cell cycle regulation in LIHC cells which subsequently impacts tumor cell proliferation; moreover, miR-105 influences hepatoma cell line proliferation via its interaction with KIFC1. Collectively, these results highlight the potential therapeutic significance of targeting KIFC1 for chemotherapy treatment in LIHC patients.

Study on the mechanism of liver cancer immune escape mediated by MINDY1 through regulation of PD-L1 ubiquitination level.

The novel deubiquitinase enzyme, motif interacting with ubiquitin-containing novel DUB family-1 (MINDY1), is highly expressed in liver cancer tissues and plays a crucial role in maintaining the stemness of liver cancer cells. Programmed death ligand-1 (PD-L1) is an immunosuppressive molecule overexpressed by tumour cells. The potential role of MINDY1 in inhibiting the stemness of liver cancer cells by deubiquitinating PD-L1 has not yet been reported. To investigate the mechanism by which MINDY1 mediates immune escape in liver cancer through the regulation of PD-L1 ubiquitination, we examined the expression levels of MINDY1 and PD-L1 in liver cancer and adjacent tissues from 50 hepatocellular carcinoma (HCC) patients using protein imprinting and immunohistochemistry. We analyzed the relationship between the expression levels of MINDY1 and PD-L1 in liver cancer tissues and their correlation with the 5-year tumor-free survival rates of patients. Subsequently, MINDY1 expression was knocked down in Huh7 cells using small interfering RNA (siRNA) interference or upregulated through transfection with a MINDY1 overexpression plasmid. The effects of MINDY1 knockdown or overexpression on the proliferation, apoptosis, migration, and invasion of HCC cells, as well as the regulation of PD-L1 binding and ubiquitination, were assessed. The 5-year tumor-free survival rates were significantly lower in both the high MINDY1 expression group and the high PD-L1 expression group (χ2 = 4.919 and 13.158, respectively).A significant difference in survival was observed between the high and low MINDY1 expression groups (χ2= 27.415). MINDY1 was found to directly interact with PD-L1, with MINDY1 gene knockdown promoting PD-L1 ubiquitination and MINDY1 overexpression inhibiting PD-L1 ubiquitination. All comparisons yielded statistically significant results (P < 0.05). In conclusion, MINDY1 inhibits the malignant progression of liver cancer by inhibiting PD-L1 ubiquitination and mediating immune escape.

Fibrillarin reprograms glucose metabolism by driving the enhancer-mediated transcription of PFKFB4 in liver cancer

DNA- and RNA-binding proteins (DRBPs) are versatile proteins capable of binding to both DNA and RNA molecules. In this study, we identified fibrillarin (FBL) as a key DRBP that is upregulated in liver cancer tissues vs. normal tissues and is correlated with patient prognosis. FBL promotes the proliferation of liver cancer cells both in vitro and in vivo. Mechanistically, FBL interacts with the transcription factor KHSRP, thereby regulating the expression of genes involved in glucose metabolism and leading to the reprogramming of glucose metabolism. Specifically, FBL and KHSRP work together to transcriptionally activate the glycolytic enzyme PFKFB4 by co-occupying enhancer and promoter elements, thereby further promoting liver cancer growth. Collectively, these findings provide compelling evidence highlighting the role of FBL as a transcriptional regulator in liver cancer cells, working in conjunction with KHSRP. The FBL/KHSRP-PFKFB4 regulatory axis holds potential as both a prognostic indicator and a therapeutic target for liver cancer. SignificanceA novel role of FBL in the transcriptional activation of PFKFB4, leading to glucose metabolism reprogramming in liver cancer.

Comparative study of ultra-high field diffusion-weighted MRI imaging between hepatocellular carcinoma and paracancerous, distant cancerous, and background liver tissues

Objective: To investigate the differences in multi-b-value apparent diffusion coefficient (ADC) and exponential apparent diffusion coefficient (eADC) between hepatocellular carcinoma (HCC) and paracancerous liver tissue, distant cancerous liver tissue, and background liver tissues by ultra-high field 3.0T diffusion-weighted (DWI) MRI imaging. Methods: Sixty-eight consecutive HCC cases confirmed by surgical pathology from January 2018 to October 2021 were enrolled and divided into a cirrhosis (n=39) and a non-cirrhosis group (n=29) according to the presence or absence of cirrhosis.The average ADC and eADC of liver tissues of paracancerous (including proximal and distal), distant cancerous, and background were measured by DWI images with diffusion sensitivity factors (b) of 50, 100, 400, 600 s/mm2, and 1 000 s/mm2, respectively. The Kruskal-Wallis H test and Bonferroni method were used to test the differences between the measured values of the five tissues. The statistical differences were used to evaluate the diagnostic efficacy of the five tissues by parametric receiver operating characteristic (ROC) curve and area under the curve (AUC). Results: The comparison of average ADC and eADC among five types of tissues in the liver cirrhosis group showed that the average ADC and eADC measured at b values of 50, 100, 400, and 600 s/mm2 had statistically significant differences (adjusted P<0.005) between cancerous and proximal paracancerous, distal paracancerous, distant cancerous, and background liver tissue, as well as the average ADC measured at b=1 000 s/mm2 between cancerous and proximal paracancerous tissue. The average ADC and eADC in the non-cirrhosis group had statistically significant differences (adjusted P<0.005) between cancerous and proximal paracancerous, distant paracancerous, distant cancerous, and background liver tissue measured at b values of 50, 100, and 400 s/mm2, respectively. The average ADC and eADC measured at b=600 s/mm2 showed statistically significant differences (adjusted P<0.005) between cancerous and proximal paracancerous, distal paracancerous, and distant cancerous liver tissue, as well as the average ADC measured at b=1 000 s/mm2 between cancerous and distal paracancerous, and distant cancerous liver tissue. The average ADC and eADC in the cirrhosis group had no statistically significant difference between the proximal paracancerous and the distant cancerous, as well as the background liver tissue measured at b-values of 50, 100, 400, 600, and 1 000 s/mm2, respectively (adjusted P>0.005), while there were statistically significant differences (adjusted P<0.005) in the average ADC values in the non-cirrhosis group between the proximal paracancerous and the distant paracancerous and background liver tissues at b=50 s/mm2, as well as the average ADC and eADC values between the proximal paracancerous and the distant liver tissues at b=100 s/mm2. The average ADC and eADC values measured in the cirrhosis group and non-cirrhosis group had no statistically significant difference between the distant paracancerous, distant cancerous, and background liver tissue (adjusted P>0.005). The efficacy of average ADC and eADC in distinguishing five types of tissues (cancerous and proximal paracancerous, distant paracancerous, distant cancerous, and background liver tissue) showed that in the cirrhosis group, the diagnostic efficacy was best at b=50 s/mm2. The area under the ROC curve (AUC) of average ADC was 0.815, 0.828, 0.855, and 0.855, respectively, and the AUC of average eADC was 0.815, 0.830, 0.856, and 0.855, respectively. The diagnostic efficacy was best in the non cirrhosis group at b=100 s/mm2, with average ADC AUCs of 0.787, 0.823, 0.841, and 0.821, and average eADC AUCs of 0.836, 0.874, 0.893, and 0.873, respectively. The AUC of the average ADC in the non-cirrhosis group for distinguishing between proximal paracancerous and distant cancerous liver tissues, as well as proximal paracancerous and background liver tissues, with b=50 s/mm2, were 0.605 and 0.604, respectively. The average AUC of ADC and eADC for distinguishing between proximal paracancerous and distant liver tissues with b=100 s/mm2 were 0.619 and 0.620, respectively. Conclusion: The average ADC and eADC measured by multiple b-values are helpful in distinguishing HCC from proximal paracancerous, distal paracancerous, distant-cancerous, and background liver tissues in patients with cirrhosis and non-cirrhosis, while the average ADC and eADC at b=50 s/mm2 and 100 s/mm2 exhibit differences between the proximal paracancerous from the distant cancerous liver tissue and background liver tissue in patients with non-cirrhosis.

Comprehensive analysis of CXCL10 and MIP-3a reveals their potential clinical application in hepatocellular carcinoma

Chemokines play a crucial role in the pathogenesis of patients with hepatocellular carcinoma (HCC). The expression levels of interferon-γ-induced protein-10 (CXCL10) and macrophage inflammatory protein-3α (MIP-3a) were investigated to clarify their clinical significance in HCC.The protein levels of CXCL10 and MIP-3a in the serum of 105 HBV-associated HCC patients, 50 patients with liver cirrhosis (LC), 50 patients with chronic hepatitis B (CHB) and 50 healthy donors (HC) were detected by liquid chip technology (Luminex) or ELISA. In addition, their mRNA levels were also determined in liver cancer and adjacent cancer tissue (paracancer; ParaCa) from 65 HCC patients. The online database UALCAN was used to analyze the association between CXCL10 and pathological manifestations of liver cancer. In addition, the diagnostic value of CXCL10/MIP-3a and AFP in HCC patients was determined by analyzing the Receiver Operating Characteristic Curve (ROC).The protein concentrations of CXCL10 and MIP-3a were significantly higher in the HCC group than in the LC, CHB and HC groups. CXCL10 in sera and liver cancer tissues is significantly positively correlated with ALT, but no significance between CXCL10 in ParaCa tissues and sera-ALT. Their mRNA is significantly higher in cancer tissues than in ParaCa tissues. The areas under the ROC curve of CXCL10, MIP-3a, CXCL10 and MIP-3a combined and AFP were 0.9169, 0.9261, 0.9299 and 0.7880, respectively. Elevated chemokines CXCL10 and MIP-3a in HCC patients may be associated with the clinical manifestation of HCC and could be a potential molecular marker for prognostic evaluation or a therapeutic target for HCC.

The immunotherapy mechanism of Hedyotis Diffusae Herba in treating liver cancer: a study based on network pharmacology, bioinformatics, and experimental validation.

Liver cancer is a malignant tumor that develops on or inside the liver. Hedyotis diffusa Willd (HDW) plays a significant role in anti-tumor activities; however, its mechanism against liver cancer remains unclear. This study aims to evaluate the immunotherapeutic mechanism of HDW in treating liver cancer through network pharmacology, bioinformatics analysis, and experimental validation. Network pharmacology was utilized to identify the active components and potential targets of HDW from the TCMSP database. A potential target protein-protein interaction (PPI) network was constructed using the STRING database, followed by function and pathway enrichment analysis of the targets using GO and KEGG methods. In addition, the key targets for HDW against liver cancer were identified using five different algorithms in Cytoscape. The TCGA and HPA databases were used to assess the mRNA and protein expression of core target genes in normal liver and liver cancer tissues and their relationship with overall survival in liver cancer, as well as their role in immune infiltration. Molecular docking between the core components of HDW and the core targets was performed using PyMOL software. The effects of HDW on the proliferation and apoptosis of liver cancer cells were examined using MTT and flow cytometry. The regulatory effects of the core component quercetin on core targets were validated using RT-qPCR and Western blot. A total of 163 potential targets were identified by searching for intersections among 7 types of active components and all potential and liver cancer targets. PPI network analysis revealed the core targets IL6 and TNF. GO enrichment analysis involved 2089 biological processes, 76 cellular components, and 196 molecular functions. KEGG enrichment analysis suggested that the anti-cancer effects of HDW might be mediated by the AGE-RAGE signaling pathway, IL-17 signaling pathway, TNF signaling pathway, PI3K-Akt signaling pathway, and NF-κB signaling pathway. Database validation of key targets showed that mRNA and protein expression results for the IL6 gene were contradictory, while those for the TNF gene were consistent, both being underexpressed in liver cancer. Importantly, the expression of IL6 and TNF was related to the infiltration of 24 types of immune cells, with the highest correlation with macrophages. Molecular docking showed that IL6 and TNF had high binding stability with quercetin, with binding energies of - 7.4 and - 6.0kJ∙mol-1, respectively. Experimental validation showed that quercetin inhibited liver cancer cell proliferation and promoted apoptosis in a dose-dependent manner, with protein results indicating that quercetin downregulated the mRNA and protein expression of IL6 and TNF, and upregulated key proteins in the AGE-RAGE signaling pathway, AGEs, and RAGE. This study comprehensively elucidates the activity, potential targets, and molecular mechanisms of HDW against liver cancer, providing a promising strategy for the scientific basis and treatment mechanism of traditional Chinese medicine in treating liver cancer.

Lnc NBAT1 Inhibits the Proliferation and Migration of Liver Cancer Cells Through the miR-21/PDCD4/AP-1 Signaling Axis.

Long non-coding RNAs (Lnc RNAs) are proven to participate in liver cancer (LC) regulation. The regulation of miR-21 by lnc NBAT1 has been studied in other cancers. However, the effect of this regulation on LC and its specific mechanism remains unclear. Lnc NBAT1 and miR-21 expressions in clinical tissues were measured by RT-qPCR. PDCD4, AP-1, p-c-Fos, p-c-Jun, and cyclin D1 expressions were analyzed by Western blot. Overexpression of lnc NBAT1 was studied to explore its influence on malignant behaviors of Bel7402 cells and the development of LC in the xenograft mouse model (XMM). The regulation mechanism of lnc NBAT1 in LC was explored by lnc NBAT1 overexpression, miR-21 mimic treatment, or PDCD4 silencing in Bel7402 cells. Lnc NBAT1 expression was downregulated while miR-21 expression was upregulated in LC tissues and cell lines. In comparison with LX-2 cells, the expressions of PDCD4 and AP-1 were downregulated in Bel7402 cells, while those of p-c-Fos, p-c-Jun, and cyclin D1 were upregulated. Further, lnc NBAT1 was found to localize primarily in the cytoplasm of Bel7402 cells. Overexpression of lnc NBAT1 enhanced cell apoptosis, blocked the cell cycle, suppressed malignant behaviors of Bel7402 cells, and inhibited tumor progression in the XMM. Mechanistically, lnc NBAT1 functioned as a competing endogenous RNA (ceRNA) by binding to the downstream target miR-21 to stabilize the expressions of PDCD4 and AP-1, thereby inhibiting malignant behaviors of Bel7402 cells. Lnc NBAT1 suppressed malignant behaviors of LC cells through the miR-21/PDCD4/AP-1 axis. Lnc NBAT1 might be a promising biomarker for LC treatment.

Integrating bioinformatics and machine learning methods to analyze diagnostic biomarkers for HBV-induced hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a malignant tumor. It is estimated that approximately 50–80% of HCC cases worldwide are caused by hepatitis b virus (HBV) infection, and other pathogenic factors have been shown to promote the development of HCC when coexisting with HBV. Understanding the molecular mechanisms of HBV-induced hepatocellular carcinoma (HBV-HCC) is crucial for the prevention, diagnosis, and treatment of the disease. In this study, we analyzed the molecular mechanisms of HBV-induced HCC by combining bioinformatics and deep learning methods. Firstly, we collected a gene set related to HBV-HCC from the GEO database, performed differential analysis and WGCNA analysis to identify genes with abnormal expression in tumors and high relevance to tumors. We used three deep learning methods, Lasso, random forest, and SVM, to identify key genes RACGAP1, ECT2, and NDC80. By establishing a diagnostic model, we determined the accuracy of key genes in diagnosing HBV-HCC. In the training set, RACGAP1(AUC:0.976), ECT2(AUC:0.969), and NDC80 (AUC: 0.976) showed high accuracy. They also exhibited good accuracy in the validation set: RACGAP1(AUC:0.878), ECT2(AUC:0.731), and NDC80(AUC:0.915). The key genes were found to be highly expressed in liver cancer tissues compared to normal liver tissues, and survival analysis indicated that high expression of key genes was associated with poor prognosis in liver cancer patients. This suggests a close relationship between key genes RACGAP1, ECT2, and NDC80 and the occurrence and progression of HBV-HCC. Molecular docking results showed that the key genes could spontaneously bind to the anti-hepatocellular carcinoma drugs Lenvatinib, Regorafenib, and Sorafenib with strong binding activity. Therefore, ECT2, NDC80, and RACGAP1 may serve as potential biomarkers for the diagnosis of HBV-HCC and as targets for the development of targeted therapeutic drugs.

JDF promotes the apoptosis of M2 macrophages and reduces epithelial-mesenchymal transition and migration of liver cancer cells by inhibiting CSF-1/PI3K/AKT signaling pathway

BackgroundThe interaction between cancer cells and the tumor microenvironment is of critical importance in liver cancer. Jiedu Granule formula (JDF) has been shown to minimize the risk of recurrence and metastasis following liver cancer resection. Investigating the mechanism underlying the therapeutic effects of JDF can extend its field of application and develop novel treatment approaches. MethodsWe established a rat liver orthotopic transplantation tumor model, and recorded the prognostic effects of JDF adjuvant therapy on the recurrence and metastasis of liver cancer. Liver and lung tissues were collected for immunofluorescence staining and H&E staining, respectively. In addition, THP-1 cells were incubated with PMA and IL-4 to induce them to differentiate into M2 macrophages. CSF-1 expression was knocked down using lentivirus to determine the function of CSF-1. Liver cancer cells were cultured with a conditioned medium (CM) or co-cultured with macrophages. Cell viability was determined using the MTT assay. The levels of CSF-1, CSF-1R, E-cadherin, N-cadherin, PI3K, AKT, and cleaved caspase-3 were detected using ELISA, Western blotting and qPCR. The ability of cells to migrate was assessed using cell scratch and transwell assays. Apoptosis was evaluated using flow cytometry. ResultsThe JDF treatment decreased the risk of liver cancer metastasis after surgery and the infiltration of CD206/CD68 cells in liver cancer tissue. In cell experiments, JDF showed effects in suppressing M2 macrophages activity and downregulating the expression of CSF-1 and CSF-1R. The concentration of CSF-1 in the supernatant was also lower in the JDF-treated group. Futhermore, M2-CM was found to promote cancer cell migration and epithelial-mesenchymal transition (EMT); however, these effects were weakened after administering JDF. Knocking down endogenous CSF-1 in M2 macrophages resulted in a comparable suppression of cancer cell migration and EMT. Additionally, JDF treatment inhibited activation of the PI3K/AKT pathway, thus promoting the apoptosis of M2 macrophages. ConclusionsTreatment with JDF reduced the EMT and migratory capacity of liver cancer cells, which might be attributed to the inhibition of M2 macrophage infiltration and interruption of the CSF-1/PI3K/AKT signaling pathway. This mechanism may hold significant implications for mitigating the risk of metastatic spread in the aftermath of hepatic surgery.

ADH4—a potential prognostic marker for hepatocellular carcinoma with possible immune-related implications

ObjectiveThis study aims to explore ADH4 expression in hepatocellular carcinoma (HCC), its prognostic impact, and its immune correlation to provide novel insights into HCC prognostication and treatment.MethodsHCC prognostic marker genes were rigorously selected using GEO database, Lasso regression, GEPIA, Kaplan-Meier and pROC analyses. The expression of interested markers (ADH4, DNASE1L3, RDH16, LCAT, HGFAC) in HCC and adjacent tissues was assessed by Immunohistochemistry (IHC). We observed that ADH4 exhibited low expression levels in liver cancer tissues and high expression levels in normal liver tissues. However, the remaining four genes did not manifest any statistically significant differences between hepatocellular carcinoma (HCC) tissue and adjacent non-cancerous tissue. Consequently, ADH4 became the primary focus of our research. ADH4 expression was validated by signed-rank tests and unpaired Wilcoxon rank sum tests across pan-cancer and HCC datasets. Clinical significance and associations with clinicopathological variables were determined using Kaplan-Meier, logistic regression and Cox analyses on TCGA data. The ADH4-related immune responses were explored by Spearman correlation analysis using TIMER2 data. CD68, CD4, and CD19 protein levels were confirmed by IHC in HCC and non-cancerous tissues.ResultsADH4 showed significant downregulation in various cancers, particularly in HCC. Moreover, low ADH4 expression was associated with clinicopathological variables and served as an independent prognostic marker for HCC patients. Additionally, ADH4 affects a variety of biochemical functions and may influence cancer development, prognosis, and treatment by binding to immune cells. Furthermore, at the immune level, the low expression pattern of ADH4 is TME-specific, indicating that ADH4 has the potential to be used as a target for cancer immunotherapy.ConclusionThis study highlights the diagnostic, prognostic and immunomodulatory roles of ADH4 in HCC. ADH4 could serve as a valuable biomarker for HCC diagnosis and prognosis, as well as a potential target for immunotherapeutic interventions.