ALDH2 deficiency promotes alcohol-associated liver cancer by activating oncogenic pathways via oxidized DNA-enriched extracellular vesicles

The Patatin-Like Phospholipase Domain-Containing 3 148M Variant Exacerbates Alcohol-Induced Liver Injury and Tumorigenesis in Mice

Patatin-like phospholipase domain-containing 3 (PNPLA3) protein 148M variant is strongly associated with cirrhosis and hepatocellular carcinoma (HCC); however, the underlying mechanisms remain elusive. This study aimed to elucidate the role of the PNPLA3148M variant in alcohol-related HCC development. Control and humanized PNPLA3148M transgenic mice were fed with an ethanol-containing diet for 12 weeks. The animals were examined for liver tumors. After the alcohol feeding, the PNPLA3148M mice had twofold higher liver cancer incidence rates and larger tumor sizes than those in the control mice. Cancer stem cell markers in the PNPLA3148M mouse livers were elevated relative to those in the control mouse livers. Alcohol detoxification was impaired in the PNPLA3148M mouse livers. Hepatic oxidative stress and DNA damage were elevated in the PNPLA3148M mice. Wnt/β-catenin and Yes-associated protein (YAP) and WW domain-containing transcription regulator 1 (TAZ) were activated in the PNPLA3148M mouse livers. The data suggest that the PNPLA3148M variant has a strong interaction with alcohol in HCC development through attenuation of alcohol detoxification and promotion of oncogenic pathways. Targeting the PNPLA3148M variant might be useful for the prevention or treatment of alcohol-associated HCC in patients carrying this variant.

Aldh2 and the tumor suppressor Trp53 play important roles in alcohol-induced squamous field cancerization

BACKGROUND

Field cancerization defined by multiple development of squamous cell carcinomas (SCCs) in upper aerodigestive tract was explained by excessive alcohol intake. A dysfunctional mitochondrial aldehyde dehydrogenase 2 (Aldh2) delays the clearance of acetaldehyde, a genotoxic alcohol metabolite, and increases SCC risks. TP53 plays key roles in squamous carcinogenesis. However, the mechanism of alcohol-mediated squamous field cancerization has not been clearly elucidated.

METHODS

We developed a novel genetically engineered mouse strain KTPA-/- (Krt5CreERT2; Trp53loxp/loxp; Aldh2-/-) featuring Aldh2-loss concurrent with epithelial-specific Trp53 deletion. These mice were given 10%-EtOH, and we evaluated the development of squamous cell carcinogenesis histologically and genetically.

RESULTS

Widespread multifocal rete ridges (RRs), characterized by downward growth of proliferative preneoplastic cells, were found only in Aldh2+/- and Aldh2-/- mice with keratin5-specific Trp53 deletion (KTPA+/- and KTPA-/- mice, respectively), and alcohol drinking apparently increased RR formation rate. SCC occurred only in KTPA-/- (Aldh2 loss/TP53 loss) mice with alcohol drinking (15/18: 83%). Total alcohol consumption volume was significantly higher in KTPA-/- (Aldh2 loss/TP53 loss) mice with SCCs than those without SCCs. Further, target sequence revealed the occurrence of genetic abnormalities including Trp53 mutations in the esophageal epithelium of Aldh2-/- mice with alcohol drinking, suggesting direct mutagenic effects of alcohol drinking to the esophageal epithelium.

CONCLUSION

This study provides for the first time the evidence that alcohol drinking, Aldh2 dysfunction and Trp53 loss cooperate in squamous field cancerization. Alcohol consumption volume affects the SCCs development, even in the same genotype.

Opposite regulation of intestinal and intrahepatic CD8+ T cells controls alcohol-associated liver disease progression

BACKGROUND

Gut-liver crosstalk plays an important role in alcohol-associated liver disease (ALD) pathogenesis; but underlying mechanisms remain obscure.

OBJECTIVE

We examined the regulation of intestinal and intrahepatic CD8+ T lymphocytes and their contribution to ALD.

DESIGN

ALD patients were recruited for evaluation of intestinal and liver T cells. Single-cell RNA sequencing (scRNA seq) was performed to analyse intrahepatic and peripheral T cells in ALD. Wildtype, CD8-specific Bcl2 transgenic (Cd8 Bcl-2), and Cd8 -/- mice were subjected to chronic-plus-binge ethanol feeding.

RESULTS

In ALD patients, duodenal CD8+ T cells were selectively reduced and negatively correlated with liver injury and bacterial translocation markers, while intrahepatic CD8+ T cells were markedly increased. ScRNA seq analysis of ALD patient livers revealed several populations of CD8+ T cells expressing activation and survival genes (eg, Bcl2). Transcriptomics and functional studies revealed a key role of prosurvival BCL2 in this opposite regulation of CD8+ T cells. Mechanistically, chronic-plus-binge ethanol feeding reduced CD8+ T cells specifically in the duodenum where ethanol levels are high. Inducing BCL2 in CD8+ T cells reversed ethanol-induced loss of duodenal CD8+ T cells, improved gut barrier function and ameliorated ALD, while CD8 deficiency was linked to enhanced neutrophil and macrophage infiltration in the liver, exacerbating ALD in mice.

CONCLUSIONS

ALD is associated with loss of duodenal CD8+ T cells but elevation of intrahepatic CD8+ T cells, which aggravates and ameliorates ALD, respectively. Restoration of survival and functions of intestinal and intrahepatic CD8+ T cells may represent a novel therapeutic strategy for ALD patients.

Alda‑1 restores ALDH2‑mediated alcohol metabolism to inhibit the NF‑κB/VEGFC axis in head and neck cancer

The adaptation of cancer cells to hostile environments often necessitates metabolic pathway alterations to sustain proliferation and invasion. Head and neck cancer (HNC) has unfavorable outcomes. Therefore, elucidating the functional effects and molecular mechanisms underlying metabolic changes is key. Ingenuity Pathway Analysis identified 'ethanol degradation pathway II and IV' was consistently downregulated in tumor tissue, with aldehyde dehydrogenase 2 (ALDH2) emerging as a key prognostic gene among the top‑ranked differentially expressed metabolic pathways. Immunohistochemistry (IHC) of HNC specimens revealed significant downregulation of ALDH2 expression in tumor tissue, which was inversely correlated with T classification, overall stage, recurrence rate and independently predicted poor prognosis. Functional assays showed that ALDH2 knockdown enhanced HNC cell migration, invasion and colony formation, while ALDH2 overexpression attenuated these processes. Mechanistically, ALDH2 downregulation and subsequent reactive oxygen species (ROS) production in cells activated NF‑κB, upregulating vascular endothelial growth factor C (VEGFC) expression. ALDH2 overexpression inhibited ROS production and the NF‑κB/VEGFC oncogenic pathway, with pharmacological inhibition of NF‑κB and VEGFC mitigating the enhanced migration and invasion of ALDH2‑knockdown HNC cells. IHC and transcriptome analysis further highlighted an inverse association between ALDH2 and VEGFC, with the ALDH2high/VEGFClow profile predicting the most favorable survival outcome. Inhibition of ALDH2 with Daidzin increased VEGFC and phosphorylated NF‑κB levels, restoring the migration and invasion of ALDH2‑overexpressing HNC cells by enhancing the effects of VEGFC. Notably, modulating ALDH2 activity using Alda‑1 ameliorated NF‑kB/VEGFC axis upregulation following acetaldehyde treatment, aligning with the aforementioned alterations in alcohol metabolisms. These findings emphasize the key role of ALDH2 in influencing HNC progression and patient outcome, suggesting that targeting the ALDH2/NF‑κB/VEGFC pathway may represent a potential therapeutic strategy for HNC.

Global, regional, and national burden of liver cancer due to alcohol use, 1990-2021: results from the Global Burden of Disease study 2021

BACKGROUND

Liver cancer is a major global health burden, with alcohol use being a well-established risk factor. This study aims to analyze the global, regional, and national incidence, prevalence, mortality, and disability-adjusted life years (DALYs) attributable to liver cancer due to alcohol use from 1990 to 2021.

METHODS

Data on liver cancer due to alcohol use were collected from the 2021 Global Burden of Disease (GBD) study. The changing trend of liver cancer among alcohol users was described using the linear regression model. In addition, we employed a hierarchical cluster analysis to study the evolving patterns across diverse GBD regions and conducted a frontier analysis to explore the nexus between the burden and sociodemographic progress.

RESULTS

In 2021, alcohol-related liver cancer globally accounted for 99 544 incidence cases, 132 033 prevalence cases, 92 228 death cases, and 2 316 027 DALYs cases. Males and middle-aged adults emerged as high-risk populations, while regions with a higher sociodemographic index (SDI) were identified as high-risk areas. From 1990 to 2021, both the number of cases and age-standardized rates (ASRs) increased. Our frontier analysis revealed unattained health gains between 1990 and 2021, highlighting disparities in disease burden among countries with varying SDI levels. This analysis further demonstrated an inverse correlation between SDI and alcohol-related liver cancer ASRs, with the ASRs stabilizing once the SDI exceeded 0.40.

CONCLUSION

Alcohol use is a significant contributor to the global burden of liver cancer. Comprehensive policies and interventions targeting alcohol use are needed to reduce the burden of alcohol-related liver cancer.

Identification of methionine metabolism related prognostic model and tumor suppressive functions of BHMT in hepatocellular carcinoma

Given the resistance to conventional treatments and limitations of immune checkpoint blockade therapy in hepatocellular carcinoma (HCC), it is imperative to explore novel prognostic models and biomarkers. The dependence of cancer cell on exogenous methionine, known as Hoffman effect, is a hallmark of HCC, with numerous studies reporting a strong correlation between methionine metabolism and tumor development. Betaine-homocysteine S-methyltransferase (BHMT), a critical component of methionine metabolism pathway, has polymorphisms linking to poor prognosis in multiple cancers. Nevertheless, there is little literature regarding the relationship between methionine metabolism and incidence, mortality of HCC, as well as the function of BHMT in HCC progression. In this study, by analyzing multiple datasets, we constructed a methionine metabolism-related prognostic model and thoroughly investigated the influence of BHMT on the prognosis of HCC. Bioinformatics analysis revealed a marked decrease in BHMT expression in HCC, which was linked to adverse clinical outcomes. CIBERSORT results suggest that BHMT promotes infiltration of M1 macrophages. Our results suggest its potential as an ideal prognostic biomarker for anti PD-L1 immunotherapy. In summary, this study innovatively provides first methionine metabolism-related prognostic model and unveils the tumor suppressive function of BHMT in HCC, providing potential mechanism by which BHMT exert its function.

Multi-Omics Profiling Reveals Glycerolipid Metabolism-Associated Molecular Subtypes and Identifies ALDH2 as a Prognostic Biomarker in Pancreatic Cancer

Background: The reprogramming of lipid metabolism, especially glycerolipid metabolism (GLM), plays a key role in cancer progression and response to therapy. However, the role and molecular characterization of GLM in pancreatic cancer (PC) remain unclear. Methods: A pan-cancer analysis of glycerolipid metabolism-related genes (GMRGs) was first conducted to assess copy-number variants, single-nucleotide variations, methylation, and mRNA expression. Subsequently, GLM in PC was characterized using lipidomics, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomic analysis. A cluster analysis based on bulk RNA sequencing data from 930 PC samples identified GLM-associated subtypes, which were then analyzed for differences in prognosis, biological function, immune microenvironment, and drug sensitivity. To prioritize prognostically relevant GMRGs in PC, we employed a random forest (RF) algorithm to rank their importance across 930 PC samples. Finally, the key biomarker of PC was validated using PCR and immunohistochemistry. Results: Pan-cancer analysis identified molecular features of GMRGs in cancers, while scRNA-seq, spatial transcriptomics, and lipidomics highlighted GLM heterogeneity in PC. Two GLM-associated subtypes with significant prognostic, biofunctional, immune microenvironmental, and drug sensitivity differences were identified in 930 PC samples. Finally, ALDH2 was identified as a novel prognostic biomarker in PC and validated in a large number of datasets and clinical samples. Conclusions: This study highlights the crucial role of GLM in PC and defines a new PC subtype and prognostic biomarker. These findings establish a novel avenue for studying prognostic prediction and precision medicine in PC patients.

Alcohol-Metabolizing Enzymes, Liver Diseases and Cancer

Alcohol is generally believed to be metabolized in the liver by alcohol dehydrogenase (ADH), aldehyde dehydrogenase (ALDH), and to a much lesser extent cytochrome P450 2E1 (CYP2E1) and other enzymes. Recent studies suggest that gut also play important roles in the promotion of alcohol metabolism. ADH, ALDH, and CYP2E1 have several polymorphisms that markedly impact alcohol metabolism. These alcohol-metabolizing enzymes not only affect alcohol-associated liver disease (ALD), but may also modulate the pathogenesis of other liver diseases and cancer in the absence of alcohol consumption. In this review, we discuss alcohol metabolism and the roles of alcohol-metabolizing enzymes in the pathogenesis of ALD, metabolic dysfunction-associated steatotic liver disease, metabolic dysfunction and alcohol-associated liver disease, viral hepatitis, and liver cancer. We also discuss how alcohol-metabolizing enzymes may affect endogenous ethanol production, and how ethanol metabolism in the gut affects liver disease and cancer. Directions for future research on the roles of alcohol-metabolizing enzymes in liver disease and cancer are also elaborated.

Alcohol Plus Additional Risk Factors: Rodent Model of Liver Injury

Alcohol-associated liver disease (ALD), primarily caused by chronic excessive alcohol consumption, is a leading cause of chronic liver disease worldwide. ALD includes alcohol-associated steatotic liver, alcohol-associated hepatitis (AH), fibrosis, cirrhosis, and can even progress to hepatocellular carcinoma (HCC). Existing research indicates that the risk factors of ALD are quite numerous. In addition to drinking patterns, factors such as aldehyde dehydrogenase 2 (ALDH2) deficiency, smoking, medication administration, high-fat diet (HFD), hepatitis virus infection, and disruption of circadian rhythms can also increase susceptibility to ALD. However, there is limited understanding regarding the exacerbation of liver injury by alcohol plus additional risk factors. This review presents rodent models of EtOH + "X," which simulate the synergistic effects of alcohol and additional risk factors in causing liver injury. These models offer a further exploration of the interactions between alcohol and additional risk factors, advancing the simulation of human ALD and providing a more reliable platform for studying disease mechanisms and exploring therapeutic interventions. We summarize the modeling methods, relevant indicators of liver injury, and focus on the targets of the synergistic effects as well as the associated mechanisms.

Natural and Bioengineered Extracellular Vesicles in Diagnosis, Monitoring and Treatment of Cancer

Extracellular vesicles (EVs) are cell derived nanovesicles which are implicated in both physiological and pathological intercellular communication, including the initiation, progression, and metastasis of cancer. The exchange of biomolecules between stromal cells and cancer cells via EVs can provide a window to monitor cancer development in real time for better diagnostic and interventional strategies. In addition, the process of secretion and internalization of EVs by stromal and cancer cells in the tumor microenvironment (TME) can be exploited for delivering therapeutics. EVs have the potential to provide a targeted, biocompatible, and efficient delivery platform for the treatment of cancer and other diseases. Natural as well as engineered EVs as nanomedicine have immense potential for disease intervention. Here, we provide an overview of current knowledge of EVs' function in cancer progression, diagnostic and therapeutic applications for EVs in the cancer setting, as well as current EV engineering strategies.

Establishment and application of murine models of alcoholic liver disease: A narrative review

In recent years, there have been significant advances in pathological research on alcoholic liver disease (ALD), with suitable animal models making a significant contribution. However, the currently established animal ALD models still have some significant drawbacks, especially the inability to induce the entire human ALD lineage, which may be related to physiological differences between animals and humans. This review comprehensively summarized the most widely used experimental models of ALD, including voluntary drinking, Lieber-DeCarli, Meadows-Cook, Tsukamoto-French, NIAAA, and the "second hit" model. "Second hit" refers to an additional factor that damages the liver. There are various "second hit" models that fall into two main categories: particular diets and drugs. These models can either simulate human drinking patterns more accurately or produce varying degrees of ALD without significantly increasing animal mortality. We introduced the established method of the original models, discussed the advantages and disadvantages of the existing models from the aspects of operability and practicality, and provided existing improvement methods, hoping to provide a reference for future researchers.

Fungi, immunosenescence and cancer

Fungal microbes are a small but immunoreactive component of the human microbiome, which may influence cancer development, progression and therapeutic response. Immunosenescence is a process of immune dysfunction that occurs with aging, including lymphoid organ remodeling, contributing to alterations in the immune system in the elderly, which plays a critical role in many aspects of cancer. There is evidence for the interactions between fungi and immunosenescence in potentially regulating cancer progression and remodeling the tumor microenvironment (TME). In this review, we summarize potential roles of commensal and pathogenic fungi in modulating cancer-associated processes and provide more-detailed discussions on the mechanisms of which fungi affect tumor biology, including local and distant regulation of the TME, modulating antitumor immune responses and interactions with neighboring bacterial commensals. We also delineate the features of immunosenescence and its influence on cancer development and treatment, and highlight the interactions between fungi and immunosenescence in cancer. We discuss the prospects and challenges for harnessing fungi and immunosenescence in cancer diagnosis and/or treatment. Considering the limited understanding and techniques in conducting such research, we also provide our view on how to overcome challenges faced by the exploration of fungi, immunosenescence and their interactions on tumor biology.

Transcriptome analysis of liver injury of fatty liver disease induced by ALDH2 deficiency

Aldehyde dehydrogenase 2 (Aldh2) Glu504Lys mutation, common in East Asians, is linked to various alcohol-related pathologies, notably fatty liver disease. Recent findings suggest that high ethanol-producing Klebsiella pneumoniae(HiAlc Kpn) exacerbates liver injury in non-alcoholic fatty liver disease (NAFLD). Our study investigated the combined effects of Aldh2 deficiency and HiAlc Kpn on NAFLD liver injury, transcriptome analyses to unearth potential mechanisms and therapeutic targets. In our controlled experiment with Aldh2-deficient mice, we induced fatty liver via alcohol and HiAlc Kpn gavage, followed by comprehensive analyses to detect gene expression and epigenetic changes. The results showed that Aldh2-deficient mice were particularly vulnerable to ethanol and HiAlc Kpn, with notable gene expression changes in key metabolic and liver injury pathways. Our analysis identified crucial differentially expressed genes (DEGs) and pathways, highlighting the significant roles of genes like Cyp8b1, Cyp7a1, and Ugt2b1 in liver metabolism and suggesting them as therapeutic targets. The study underscores the impact of Aldh2 deficiency and HiAlc Kpn on NAFLD progression, revealing potential therapeutic strategies. Despite these insights, further research is needed to clarify the systemic effects on aldehyde metabolism and the full implications of Aldh2 deficiency and HiAlc Kpn in liver injury.

Pharmacological activation of aldehyde dehydrogenase 2 inhibits ferroptosis via SLC7A11/GPX4 axis to reduce kidney stone formation

Calcium oxalate (CaOx) kidney stones pose a global health challenge due to their high prevalence and recurrence rates. While cell death mechanisms such as ferroptosis are known to play a crucial role in stone formation, the precise underlying mechanisms remain enigmatic. Aldehyde dehydrogenase 2 (ALDH2) is a metabolic enzyme of the ferroptosis product 4-hydroxy-2-nonenal (4-HNE). However, the function of ALDH2 in kidney stones is poorly understood. In this study, we observed a downregulation of ALDH2 in the stone group. Significantly, the administration of Alda-1, an ALDH2 agonist, notably reduced crystal deposition in the kidneys and hindered crystal adhesion to cells. Furthermore, Alda-1 induced upregulation of SLC7A11 expression, promoting glutathione synthesis, reducing lipid peroxidation accumulation, and lowering Fe2+ levels. These collective effects attenuated crystal-induced ferroptosis. However, the renoprotective effects of Alda-1 were inhibited by SLC7A11 siRNA. In conclusion, our study explores the applications of Alda-1 and highlights the potential of targeting ALDH2 as a promising therapeutical strategy for urolithiasis.

Suppression of aldehyde dehydrogenase 2 in kidney proximal tubules contributes to kidney fibrosis through Transforming Growth Factor-β signaling

Chronic kidney disease (CKD) is an increasingly prevalent disorder that poses a significant global health and socioeconomic burden. East Asian countries such as China, Taiwan, Japan, and South Korea have a higher incidence and prevalence of kidney failure when compared to Western nations, and the reasons for this discrepancy remain unclear. Aldehyde dehydrogenase 2 (ALDH2) is an essential detoxifying enzyme for exogenous and endogenous aldehyde metabolism in mitochondria. Inactivating mutations at E504K and E487K are found in 35-45% of East Asian populations and has been linked to a higher risk of various disorders, including cardiovascular diseases and cancer. However, little is known about the role of ALDH2 in CKD. Here, we characterized the expression pattern of ALDH2 in normal and CKD human and mouse kidneys and demonstrated that ALDH2 expression was significantly reduced, and that the protein level was inversely correlated with the degree of CKD and fibrosis. Further, we treated ALDH2∗2 knock-in mice, a loss of ALDH2 function model, with aristolochic acid and found that these mice showed enhanced fibrosis. Moreover, ALDH2 deficiency was associated with kidney fibrosis involving epithelial cell differentiation process in vivo and in vitro. However, ALDH2 overexpression protected proximal tubule epithelial cells from transforming growth factor-β-induced dedifferentiation or partial epithelial-mesenchymal transdifferentiation in vitro. Thus, our findings yield important clinical information regarding the development and progression of CKD involving ALDH2, especially among East Asian populations.

Exploring Hepatocellular Carcinoma Pathogenesis: The Influence of Genetic Polymorphisms

Hepatocellular carcinoma (HCC) is influenced by several factors, among which genetic polymorphisms play a key role. Polymorphisms in various genes affect key pathways involved in HCC development, including metabolism, expression of inflammatory cytokines, cell proliferation, and apoptosis regulation. These polymorphisms induce differential effects on susceptibility to HCC, disease progression, and treatment outcomes. Understanding the effect of genetic variations on HCC pathogenesis is essential to elucidate underlying mechanisms and identify potential therapeutic targets. This review explores the diverse roles of genetic polymorphisms in HCC, providing insights into the complex interplay between genetic factors and disease development.

Establishment and Validation of the Novel Necroptosis-related Genes for Predicting Stemness and Immunity of Hepatocellular Carcinoma via Machine-learning Algorithm

BACKGROUND

Necroptosis, a recently identified mechanism of programmed cell death, exerts significant influence on various aspects of cancer biology, including tumor cell proliferation, stemness, metastasis, and immunosuppression. However, the role of necroptosis-related genes (NRGs) in Hepatocellular Carcinoma (HCC) remains elusive.

METHODS

In this study, we assessed the mutation signature, copy number variation, and expression of 37 NRGs in HCC using the TCGA-LIHC dataset. We further validated our results using the ICGC-LIRI-JP dataset. To construct our prognostic model, we utilized the least absolute shrinkage and selection operator (LASSO), and evaluated the predictive efficacy of the NRGs-score using various machine learning algorithms, including K-M curves, time-ROC curves, univariate and multivariate Cox regression, and nomogram. In addition, we analyzed immune infiltration using the CIBERSOFT and ssGSEA algorithms, calculated the stemness index through the one-class logistic regression (OCLR) algorithm, and performed anti-cancer stem cells (CSCs) drug sensitivity analysis using oncoPredict. Finally, we validated the expression of the prognostic NRGs through qPCR both in vitro and in vivo.

RESULTS

About 18 out of 37 NRGs were found to be differentially expressed in HCC and correlated with clinical outcomes. To construct a prognostic model, six signature genes (ALDH2, EZH2, PGAM5, PLK1, SQSTM1, and TARDBP) were selected using LASSO analysis. These genes were then employed to categorize HCC patients into two subgroups based on NRGs-score (low vs. high). A high NRGs score was associated with a worse prognosis. Furthermore, univariate and multivariate Cox regression analyses were performed to confirm the NRGs-score as an independent risk factor. These analyses revealed strong associations between NRGs-score and critical factors, such as AFP, disease stage, and tumor grade in the HCC cohort. NRGs-score effectively predicted the 1-, 3-, and 5-year survival of HCC patients. Immune infiltration analysis further revealed that the expression of immune checkpoint molecules was significantly enhanced in the high NRGs-score group. Stemness analysis in the HCC cohort showed that NRGs-score was positively correlated with mRNA stemness index, and patients with high NRGs-score were sensitive to CSCs inhibitors. The findings from the external validation cohort provided confirmation that the NRGs-score presented a trait with universal applicability in accurately predicting the survival of HCC. Additionally, the six prognostic genes were consistently differentially expressed in both the HCC cell line and the mouse HCC model.

CONCLUSION

Our study demonstrated the pivotal role of NRGs in promoting stemness and immune suppression in HCC and established a robust model which could successfully predict HCC prognosis.

Multi-omics analysis-based clinical and functional significance of a novel prognostic and immunotherapeutic gene signature derived from amino acid metabolism pathways in lung adenocarcinoma

Background

Studies have shown that tumor cell amino acid metabolism is closely associated with lung adenocarcinoma (LUAD) development and progression. However, the comprehensive multi-omics features and clinical impact of the expression of genes associated with amino acid metabolism in the LUAD tumor microenvironment (TME) are yet to be fully understood.

Methods

LUAD patients from The Cancer Genome Atlas (TCGA) database were enrolled in the training cohort. Using least absolute shrinkage and selection operator Cox regression analysis, we developed PTAAMG-Sig, a signature based on the expression of tumor-specific amino acid metabolism genes associated with overall survival (OS) prognosis. We evaluated its predictive performance for OS and thoroughly explored the effects of the PTAAMG-Sig risk score on the TME. The risk score was validated in two Gene Expression Omnibus (GEO) cohorts and further investigated against an original cohort of chemotherapy combined with immune checkpoint inhibitors (ICIs). Somatic mutation, chemotherapy response, immunotherapy response, gene set variation, gene set enrichment, immune infiltration, and plasma-free amino acids (PFAAs) profile analyses were performed to identify the underlying multi-omics features.

Results

TCGA datasets based PTAAMG-Sig model consisting of nine genes, KYNU, PSPH, PPAT, MIF, GCLC, ACAD8, TYRP1, ALDH2, and HDC, could effectively stratify the OS in LUAD patients. The two other GEO-independent datasets validated the robust predictive power of PTAAMG-Sig. Our differential analysis of somatic mutations in the high- and low-risk groups in TCGA cohort showed that the TP53 mutation rate was significantly higher in the high-risk group and negatively correlated with OS. Prediction from transcriptome data raised the possibility that PTAAMG-Sig could predict the response to chemotherapy and ICIs therapy. Our immunotherapy cohort confirmed the predictive ability of PTAAMG-Sig in the clinical response to ICIs therapy, which correlated with the infiltration of immune cells (e.g., T lymphocytes and nature killer cells). Corresponding to the concentrations of PFAAs, we discovered that the high PTAAMG-Sig risk score patients showed a significantly lower concentration of plasma-free α-aminobutyric acid.

Conclusion

In patients with LUAD, the PTAAMG-Sig effectively predicted OS, drug sensitivity, and immunotherapy outcomes. These findings are expected to provide new targets and strategies for personalized treatment of LUAD patients.

Alcohol-associated liver cancer

Heavy alcohol intake induces a wide spectrum of liver diseases ranging from steatosis, steatohepatitis, cirrhosis, and HCC. Although alcohol consumption is a well-known risk factor for the development, morbidity, and mortality of HCC globally, alcohol-associated hepatocellular carcinoma (A-HCC) is poorly characterized compared to viral hepatitis-associated HCC. Most A-HCCs develop after alcohol-associated cirrhosis (AC), but the direct carcinogenesis from ethanol and its metabolites to A-HCC remains obscure. The differences between A-HCC and HCCs caused by other etiologies have not been well investigated in terms of clinical prognosis, genetic or epigenetic landscape, molecular mechanisms, and heterogeneity. Moreover, there is a huge gap between basic research and clinical practice due to the lack of preclinical models of A-HCC. In the current review, we discuss the pathogenesis, heterogeneity, preclinical approaches, epigenetic, and genetic profiles of A-HCC, and discuss the current insights into and the prospects for future research on A-HCC. The potential effect of alcohol on cholangiocarcinoma and liver metastasis is also discussed.

Alcohol-related liver disease (ALD): current perspectives on pathogenesis, therapeutic strategies, and animal models

Alcohol-related liver disease (ALD) is a major cause of morbidity and mortality worldwide. It encompasses conditions such as fatty liver, alcoholic hepatitis, chronic hepatitis with liver fibrosis or cirrhosis, and hepatocellular carcinoma. Numerous recent studies have demonstrated the critical role of oxidative stress, abnormal lipid metabolism, endoplasmic reticulum stress, various forms of cell death (including apoptosis, necroptosis, and ferroptosis), intestinal microbiota dysbiosis, liver immune response, cell autophagy, and epigenetic abnormalities in the pathogenesis of ALD. Currently, abstinence, corticosteroids, and nutritional therapy are the traditional therapeutic interventions for ALD. Emerging therapies for ALD mainly include the blockade of inflammatory pathways, the promotion of liver regeneration, and the restoration of normal microbiota. Summarizing the advances in animal models of ALD will facilitate a more systematic investigation of the pathogenesis of ALD and the exploration of therapeutic targets. This review summarizes the latest insight into the pathogenesis and molecular mechanisms of ALD, as well as the pros and cons of ALD rodent models, providing a basis for further research on therapeutic strategies for ALD.

Engineered lipid nanoparticles enable therapeutic gene silencing of GTSE1 for the treatment of liver fibrosis

Liver fibrosis is characterized by abnormal accumulation of extracellular matrix proteins, disrupting normal liver function. Despite its significant health impact, effective treatments remain limited. Here, we present the development of engineered lipid nanoparticles (LNPs) for targeted RNA therapeutic delivery in the liver. We investigated the therapeutic potential of modulating the G2 and S-phase expressed 1 (GTSE1) protein for treating liver fibrosis. Through screening, we identified P138Y LNP as a potent candidate with superior delivery efficiency and lower toxicity. Using these engineered LNPs, we successfully delivered siGTSE1 to hepatocytes, significantly reducing collagen accumulation and restoring liver function in a fibrosis animal model. Additionally, GTSE1 downregulation altered miRNA expression and upregulated hepatocyte nuclear factor 4 alpha (HNF4α). These findings suggest that therapeutic gene silencing of GTSE1 is a promising strategy for treating liver fibrosis by regenerating liver phenotypes and functions.

Aldehydes alter TGF-β signaling and induce obesity and cancer

Obesity and fatty liver diseases-metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH)-affect over one-third of the global population and are exacerbated in individuals with reduced functional aldehyde dehydrogenase 2 (ALDH2), observed in approximately 560 million people. Current treatment to prevent disease progression to cancer remains inadequate, requiring innovative approaches. We observe that Aldh2-/- and Aldh2-/-Sptbn1+/- mice develop phenotypes of human metabolic syndrome (MetS) and MASH with accumulation of endogenous aldehydes such as 4-hydroxynonenal (4-HNE). Mechanistic studies demonstrate aberrant transforming growth factor β (TGF-β) signaling through 4-HNE modification of the SMAD3 adaptor SPTBN1 (β2-spectrin) to pro-fibrotic and pro-oncogenic phenotypes, which is restored to normal SMAD3 signaling by targeting SPTBN1 with small interfering RNA (siRNA). Significantly, therapeutic inhibition of SPTBN1 blocks MASH and fibrosis in a human model and, additionally, improves glucose handling in Aldh2-/- and Aldh2-/-Sptbn1+/- mice. This study identifies SPTBN1 as a critical regulator of the functional phenotype of toxic aldehyde-induced MASH and a potential therapeutic target.

Diagnostic Impacts of Aldehyde Dehydrogenase 2 Genetic Variants on Hepatocellular Carcinoma Susceptibility

Background/Aim

The role of alcohol consumption and aldehyde dehydrogenase 2 (ALDH2) genotype in hepatocellular carcinoma (HCC) development remains uncertain.

Materials and Methods

We conducted genotyping of the ALDH2 rs671 single nucleotide polymorphism in 298 patients with HCC and 889 non-cancerous healthy controls. We assessed associations stratified by sex and alcohol consumption status.

Results

Distribution of ALDH2 rs671 variant genotypes differed significantly between HCC patients and controls (ptrend=0.0311). Logistic regression analyses indicated that compared to the wild-type GG genotype, the heterozygous variant AG genotype and homozygous variant AA genotype conferred 1.22- and 1.77-fold increases in HCC risk (p=0.1794 and 0.0150, respectively). Allelic frequency analysis showed that the A allele was associated with a 1.29-fold increased HCC risk (p=0.0123). Additionally, AA genotype carriers had significantly higher HCC risk than GG genotype carriers among males (p=0.0145) and non-alcohol drinkers (p<0.001).

Conclusion

HCC risk is influenced by ALDH2 genotype, with effects modified by sex and alcohol consumption. Particularly, individuals with the ALDH2 rs671 AA genotype should avoid alcohol consumption, especially males.

Emerging role of liver-bone axis in osteoporosis

Background

Increasing attention to liver-bone crosstalk has spurred interest in targeted interventions for various forms of osteoporosis. Liver injury induced by different liver diseases can cause an imbalance in bone metabolism, indicating a novel regulatory paradigm between the liver and bone. However, the role of the liver-bone axis in both primary and secondary osteoporosis remains inadequately elucidated. Therefore, exploring the exact regulatory mechanisms of the liver-bone axis may offer innovative clinical approaches for treating diseases associated with the liver and bone.

Methods

Here, we summarize the latest research on the liver-bone axis by searching the PubMed and Web of Science databases and discuss the possible mechanism of the liver-bone axis in different types of osteoporosis. The literature directly reporting the regulatory role of the liver-bone axis in different types of osteoporosis from the PubMed and Web of Science databases has been included in the discussion of this review (including but not limited to the definition of the liver-bone axis, clinical studies, and basic research). In addition, articles discussing changes in bone metabolism caused by different etiologies of liver injury have also been included in the discussion of this review (including but not limited to clinical studies and basic research).

Results

Several endocrine factors (IGF-1, FGF21, hepcidin, vitamin D, osteocalcin, OPN, LCAT, Fetuin-A, PGs, BMP2/9, IL-1/6/17, and TNF-α) and key genes (SIRT2, ABCB4, ALDH2, TFR2, SPTBN1, ZNF687 and SREBP2) might be involved in the regulation of the liver-bone axis. In addition to the classic metabolic pathways involved in inflammation and oxidative stress, iron metabolism, cholesterol metabolism, lipid metabolism and immunometabolism mediated by the liver-bone axis require more research to elucidate the regulatory mechanisms involved in osteoporosis.

Conclusion

During primary and secondary osteoporosis, the liver-bone axis is responsible for liver and bone homeostasis via several hepatokines and osteokines as well as biochemical signaling. Combining multiomics technology and data mining technology could further advance our understanding of the liver-bone axis, providing new clinical strategies for managing liver and bone-related diseases.The translational potential of this article is as follows: Abnormal metabolism in the liver could seriously affect the metabolic imbalance of bone. This review summarizes the indispensable role of several endocrine factors and biochemical signaling pathways involved in the liver-bone axis and emphasizes the important role of liver metabolic homeostasis in the pathogenesis of osteoporosis, which provides novel potential directions for the prevention, diagnosis, and treatment of liver and bone-related diseases.

Methylation synthetic lethality: Exploiting selective drug targets for cancer therapy

In cancer, synthetic lethality refers to the drug-induced inactivation of one gene and the inhibition of another in cancer cells by a drug, resulting in the death of only cancer cells; however, this effect is not present in normal cells, leading to targeted killing of cancer cells. Recent intensive epigenetic research has revealed that aberrant epigenetic changes are more frequently observed than gene mutations in certain cancers. Recently, numerous studies have reported various methylation synthetic lethal combinations involving DNA damage repair genes, metabolic pathway genes, and paralogs with significant results in cellular models, some of which have already entered clinical trials with promising results. This review systematically introduces the advantages of methylation synthetic lethality and describes the lethal mechanisms of methylation synthetic lethal combinations that have recently demonstrated success in cellular models. Furthermore, we discuss the future opportunities and challenges of methylation synthetic lethality in targeted anticancer therapies.

Development and Validation of a Carbohydrate Metabolism-Related Model for Predicting Prognosis and Immune Landscape in Hepatocellular Carcinoma Patients

OBJECTIVE

The activities and products of carbohydrate metabolism are involved in key processes of cancer. However, its relationship with hepatocellular carcinoma (HCC) is unclear.

METHODS

The cancer genome atlas (TCGA)-HCC and ICGC-LIRI-JP datasets were acquired via public databases. Differentially expressed genes (DEGs) between HCC and control samples in the TCGA-HCC dataset were identified and overlapped with 355 carbohydrate metabolism-related genes (CRGs) to obtain differentially expressed CRGs (DE-CRGs). Then, univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses were applied to identify risk model genes, and HCC samples were divided into high/low-risk groups according to the median risk score. Next, gene set enrichment analysis (GSEA) was performed on the risk model genes. The sensitivity of the risk model to immunotherapy and chemotherapy was also explored.

RESULTS

A total of 8 risk model genes, namely, G6PD, PFKFB4, ACAT1, ALDH2, ACYP1, OGDHL, ACADS, and TKTL1, were identified. Moreover, the risk score, cancer status, age, and pathologic T stage were strongly associated with the prognosis of HCC patients. Both the stromal score and immune score had significant negative/positive correlations with the risk score, reflecting the important role of the risk model in immunotherapy sensitivity. Furthermore, the stromal and immune scores had significant negative/positive correlations with risk scores, reflecting the important role of the risk model in immunotherapy sensitivity. Eventually, we found that high-/low-risk patients were more sensitive to 102 drugs, suggesting that the risk model exhibited sensitivity to chemotherapy drugs. The results of the experiments in HCC tissue samples validated the expression of the risk model genes.

CONCLUSION

Through bioinformatic analysis, we constructed a carbohydrate metabolism-related risk model for HCC, contributing to the prognosis prediction and treatment of HCC patients.

Uncovering newly identified aldehyde dehydrogenase 2 genetic variants that lead to acetaldehyde accumulation after an alcohol challenge

BACKGROUND

Aldehyde dehydrogenase 2 (ALDH2) is critical for alcohol metabolism by converting acetaldehyde to acetic acid. In East Asian descendants, an inactive genetic variant in ALDH2, rs671, triggers an alcohol flushing response due to acetaldehyde accumulation. As alcohol flushing is not exclusive to those of East Asian descent, we questioned whether additional ALDH2 genetic variants can drive facial flushing and inefficient acetaldehyde metabolism using human testing and biochemical assays.

METHODS

After IRB approval, human subjects were given an alcohol challenge (0.25 g/kg) while quantifying acetaldehyde levels and the physiological response (heart rate and skin temperature) to alcohol. Further, by employing biochemical techniques including human purified ALDH2 proteins and transiently transfected NIH 3T3 cells, we characterized two newly identified ALDH2 variants for ALDH2 enzymatic activity, ALDH2 dimer/tetramer formation, and reactive oxygen species production after alcohol treatment.

RESULTS

Humans heterozygous for rs747096195 (R101G) or rs190764869 (R114W) had facial flushing and a 2-fold increase in acetaldehyde levels, while rs671 (E504K) had facial flushing and a 6-fold increase in acetaldehyde levels relative to wild type ALDH2 carriers. In vitro studies with recombinant R101G and R114W ALDH2 enzyme showed a reduced efficiency in acetaldehyde metabolism that is unique when compared to E504K or wild-type ALDH2. The effect is caused by a lack of functional dimer/tetramer formation for R101G and decreased Vmax for both R101G and R114W. Transiently transfected NIH-3T3 cells with R101G and R114W also had a reduced enzymatic activity by ~ 50% relative to transfected wild-type ALDH2 and when subjected to alcohol, the R101G and R114W variants had a 2-3-fold increase in reactive oxygen species formation with respect to wild type ALDH2.

CONCLUSIONS

We identified two additional ALDH2 variants in humans causing facial flushing and acetaldehyde accumulation after alcohol consumption. As alcohol use is associated with a several-fold higher risk for esophageal cancer for the E504K variant, the methodology developed here to characterize ALDH2 genetic variant response to alcohol can lead the way precision medicine strategies to further understand the interplay of alcohol consumption, ALDH2 genetics, and cancer.

Chemoproteomic Profiling of Signaling Metabolite Fructose-1,6-Bisphosphate Interacting Proteins in Living Cells

Fructose-1,6-bisphosphate (FBP), a cellular endogenous sugar metabolite in the glycolytic pathway, has recently been reported to act as a signaling molecule to regulate various cellular events through the engagement of important proteins. Though tremendous progress has been made in identifying specific FBP-protein interactions, the comprehensive identification of FBP-interacting proteins and their regulatory mechanisms remains largely unexplored. Here, we describe a concise synthetic approach for the scalable preparation of a photoaffinity FBP probe that enables the quantitative chemoproteomic profiling of FBP-protein interactions based on photoaffinity labeling (PAL) directly in living cells. Using such a protocol, we captured known FBP targets including PKM2 and MDH2. Furthermore, among unknown FBP-interacting proteins, we identified a mitochondrial metabolic enzyme aldehyde dehydrogenase 2 (ALDH2), against which FBP showed inhibitory activity and resulted in cellular ROS upregulation accompanied by mitochondrial fragmentation. Our findings disclosed a new mode of glucose signaling mediating by the FBP-ALDH2-ROS axis.

Beneficial Effects of Traditional Chinese Medicine Fuzheng Huayu on the Occurrence of Hepatocellular Carcinoma in Patients with Compensated Chronic Hepatitis B Cirrhosis Receiving Entecavir: A Multicenter Retrospective Cohort Study

BACKGROUND AND AIMS

The application of antifibrotic drugs to treat patients with chronic liver diseases who are receiving antiviral therapies for hepatocellular carcinoma (HCC) has not been established. Here, we aimed to assess the impact of the Traditional Chinese Medicine Fuzheng Huayu (FZHY) on the occurrence of HCC in patients with hepatitis B virus-related compensated cirrhosis receiving the antiviral drug entecavir (ETV).

METHODS

A multicenter retrospective cohort study was performed. Compensated liver cirrhosis patients were divided into the ETV+FZHY group or the ETV group according to treatment. The cumulative incidence of HCC was analyzed using Kaplan-Meier and log-rank tests. Propensity score matching was used for confounding factors. Stratified analysis and Cox regression were used to determine the effects of FZHY on the occurrence of HCC and liver function decompensation.

RESULTS

Out of 910 chronic hepatitis B patients, 458 were in the ETV+FZHY group and 452 were in the ETV group. After propensity score matching, the 5-year cumulative incidence of HCC was 9.8% in the ETV+FZHY group and 21.8% in the ETV group (p<0.01). The adjusted hazard ratio for HCC was 0.216 (0.108, 0.432) when FZHY treatment was >36 months. Age, diabetes, alanine aminotransferase, γ-glutamyl transpeptidase, albumin, hepatitis B e-antigen, and fibrosis 4 score were associated with the occurrence of HCC. FZHY decreased the risk of HCC in patients aged >45 years with a hepatitis B virus DNA level of ≥2,000 IU/l.

CONCLUSION

Adjunctive FZHY treatment reduced HCC occurrence in patients with hepatitis B virus cirrhosis who were treated with ETV, possibly due to the antifibrotic properties of FZHY.

Constructing a disulfidptosis-related prognostic signature of hepatocellular carcinoma based on single-cell sequencing and weighted co-expression network analysis

Hepatocellular carcinoma (HCC) ranks as the second leading cause of cancer-related deaths globally. Disulfidptosis is a newly identified form of regulated cell death that is induced by glucose starvation. However, the clinical prognostic characteristics of disulfidptosis-associated genes in HCC remain poorly understood. We conducted an analysis of the single-cell datasets GSE149614 and performed weighted co-expression network analysis (WGCNA) on the Cancer Genome Atlas (TCGA) datasets to identify the genes related to disulfidptosis. A prognostic model was constructed using univariate COX and Lasso regression. Survival analysis, immune microenvironment analysis, and mutation analysis were performed. Additionally, a nomogram associated with disulfidptosis-related signature was constructed to identify the prognosis of HCC patients. Patients with HCC in the TCGA and GSE14520 datasets were categorized using a disulfidptosis-related model, revealing significant differences in survival times between the high- and low-disulfidptosis groups. High-disulfidptosis patients exhibited increased expression of immune checkpoint-related genes, implying that immunotherapy and certain chemotherapies may be beneficial for them. Meanwhile, the ROC and decision curves analysis (DCA) indicated that the nomogram has satisfying prognostic efficacy. Moreover, the experimental results of GATM in this prognostic model indicated that GATM is low expressed in HCC tissues, and GATM knockdown promotes the proliferation and migration of HCC cells. By analyzing single-cell and bulk multi-omics sequencing data, we developed a prognostic signature related to disulfidptosis and explored the relationship between high- and low-disulfidptosis groups in HCC. This study offers a novel reference for gaining a deeper understanding of the role of disulfidptosis in HCC.

Multi-Omics profiling identifies aldehyde dehydrogenase 2 as a critical mediator in the crosstalk between Treg-mediated immunosuppression microenvironment and hepatocellular carcinoma

Dysregulation of the aldehyde dehydrogenase (ALDH) family has been implicated in various pathological conditions, including cancer. However, a systematic evaluation of ALDH alterations and their therapeutic relevance in hepatocellular carcinoma (HCC) remains lacking. Herein, we found that 15 of 19 ALDHs were transcriptionally dysregulated in HCC tissues compared to normal liver tissues. A four gene signature, including ALDH2, ALDH5A1, ALDH6A1, and ALDH8A1, robustly predicted prognosis and defined a high-risk subgroup exhibiting immunosuppressive features like regulatory T cell (Tregs) infiltration. Single-cell profiling revealed selective overexpression of tumor necrosis factor receptor superfamily member 18 (TNFRSF18) on Tregs, upregulated in high-risk HCC patients. We identified ALDH2 as a tumor suppressor in HCC, with three novel phosphorylation sites mediated by protein kinase C zeta that enhanced enzymatic activity. Mechanistically, ALDH2 suppressed Tregs differentiation by inhibiting β-catenin/TGF-β1 signaling in HCC. Collectively, our integrated multi-omics analysis defines an ALDH-Tregs-TNFRSF18 axis that contributes to HCC pathogenesis and represents potential therapeutic targets for this aggressive malignancy.

From Shadows to Spotlight: Exploring the Escalating Burden of Alcohol-Associated Liver Disease and Alcohol Use Disorder in Young Women

INTRODUCTION

The burden of alcohol-related complications is considerable, particularly alcohol-associated liver disease and alcohol use disorder (AUD). However, there are deficiencies in comprehensive epidemiological research focusing on these issues, especially among young women who display higher susceptibility to such complications compared with their male counterparts. We thus aimed to determine the global burden of these conditions in this vulnerable group.

METHODS

Leveraging data from the Global Burden of Disease Study 2019, we analyzed the prevalence, mortality, and disability-adjusted life years of alcohol-associated cirrhosis (AC), liver cancer from alcohol, and AUD in young women. The findings were categorized by region, nation, and sociodemographic index.

RESULTS

The highest age-standardized prevalence rates were observed in AUD (895.96 [95% uncertainty interval (UI) 722.6-1,103.58]), followed by AC (65.33 [95% UI 48.37-86.49]) and liver cancer from alcohol (0.13 [95% UI 0.09-0.19]) per 100,000 people. The highest age-standardized mortality rates were observed in AC (0.75 [95% UI 0.55-0.97]), followed by AUD (0.48 [95% UI 0.43-0.53]) and liver cancer from alcohol (0.06 [95% UI 0.04-0.09]). The highest burdens of AC and AUD were observed in Central Europe, whereas the high-income Asia Pacific had the highest burden of liver cancer from alcohol.

DISCUSSION

Throughout the past decade, the trend of AUD varied among regions while the impact of alcohol-associated liver disease has increased, requiring urgent public health strategy to mitigate these complications, particularly in female patients in Europe and the Asia-Pacific region.

Research Progress on the Correlation between Acetaldehyde Dehydrogenase 2 and Hepatocellular Carcinoma Development

Hepatocellular carcinoma (HCC) is the predominant pathologic type of primary liver cancer. It is a malignant tumor of liver epithelial cells. There are many ways to treat HCC, but the survival rate for HCC patients remains low. Therefore, understanding the underlying mechanisms by which HCC occurs and develops is critical to explore new therapeutic targets. Aldehyde dehydrogenase 2 (ALDH2) is an important player in the redox reaction of ethanol with endogenous aldehyde products released by lipid peroxidation. Increasing evidence suggests that ALDH2 is a crucial regulator of human tumor development, including HCC. Therefore, clarifying the relationship between ALDH2 and HCC is helpful for formulating rational treatment strategies. This review highlights the regulatory roles of ALDH2 in the development of HCC, elucidates the multiple potential mechanisms by which ALDH2 regulates the development of HCC, and summarizes the progress of research on ALDH2 gene polymorphisms and HCC susceptibility. Meanwhile, we envision viable strategies for targeting ALDH2 in the treatment of HCC SIGNIFICANCE STATEMENT: Numerous studies have aimed to explore novel therapeutic targets for HCC, and ALDH2 has been reported to be a critical regulator of HCC progression. This review discusses the functions, molecular mechanisms, and clinical significance of ALDH2 in the development of HCC and examines the prospects of ALDH2-based therapy for HCC.

miR-3188 inhibits hepatitis B virus transcription by targeting Bcl-2

Transcription of the covalently closed circular DNA (cccDNA) of hepatitis B virus (HBV) is subject to dual regulation by host factors and viral proteins. MicroRNAs (miRNAs) can regulate the expression of target genes at the post-transcriptional level. Systematic investigation of miRNA expression in HBV infection and the interaction between HBV and miRNAs may deepen our understanding of the transcription mechanisms of HBV cccDNA, thereby providing opportunities for intervention. miRNA sequencing and real-time quantitative PCR (qRT-PCR) were used to analyze miRNA expression after HBV infection of cultured cells. Clinical samples were analyzed for miRNAs and HBV transcription-related indicators, using qRT-PCR, enzyme-linked immunoassay (ELISA), and Western blot. miRNA mimics or inhibitors were used to study their effects on the HBV life cycle. The target genes of miR-3188 and their roles in HBV cccDNA transcription were also identified. The expression of 10 miRNAs, including miR-3188, which was significantly decreased after HBV infection, was measured in clinical samples from patients with chronic HBV infection. Overexpression of miR-3188 inhibited HBV transcription, whereas inhibition of miR-3188 expression promoted HBV transcription. Further investigation confirmed that miR-3188 inhibited HBV transcription by targeting Bcl-2. miR-3188 is a key miRNA that regulates HBV transcription by targeting the host protein Bcl-2. This observation provides insights into the regulation of cccDNA transcription and suggests new targets for anti-HBV treatment.

Aldehyde Dehydrogenase 2 (ALDH2): A novel sorafenib target in hepatocellular carcinoma unraveled by the proteome-wide cellular thermal shift assay

Sorafenib is a multikinase inhibitor indicated for first-line treatment of unresectable hepatocellular carcinoma. Despite its widespread use in the clinic, the existing knowledge of sorafenib mode-of-action remains incomplete. To build upon the current understanding, we used the Cellular Thermal Shift Assay (CETSA) coupled to Mass Spectrometry (CETSA-MS) to monitor compound binding to its target proteins in the cellular context on a proteome-wide scale. Among the potential sorafenib targets, we identified aldehyde dehydrogenase 2 (ALDH2), an enzyme that plays a major role in alcohol metabolism. We validated the interaction of sorafenib with ALDH2 by orthogonal methods using pure recombinant protein, proving that this interaction is not mediated by other cellular components. Moreover, we showed that sorafenib inhibits ALDH2 activity, supporting a functional role for this interaction. Finally, we were able to demonstrate that both ALDH2 protein expression and activity were reduced in sorafenib-resistant cells compared to the parental cell line. Overall, our study allowed the identification of ALDH2 as a novel sorafenib target and sheds light on its potential role in both hepatocellular carcinoma and sorafenib resistance condition.

ALDH2 dysfunction and alcohol cooperate in cancer stem cell enrichment

The alcohol metabolite acetaldehyde is a potent human carcinogen linked to esophageal squamous cell carcinoma (ESCC) initiation and development. Aldehyde dehydrogenase 2 (ALDH2) is the primary enzyme that detoxifies acetaldehyde in the mitochondria. Acetaldehyde accumulation causes genotoxic stress in cells expressing the dysfunctional ALDH2E487K dominant negative mutant protein linked to ALDH2*2, the single nucleotide polymorphism highly prevalent among East Asians. Heterozygous ALDH2*2 increases the risk for the development of ESCC and other alcohol-related cancers. Despite its prevalence and link to malignant transformation, how ALDH2 dysfunction influences ESCC pathobiology is incompletely understood. Herein, we characterize how ESCC and preneoplastic cells respond to alcohol exposure using cell lines, three-dimensional organoids and xenograft models. We find that alcohol exposure and ALDH2*2 cooperate to increase putative ESCC cancer stem cells with high CD44 expression (CD44H cells) linked to tumor initiation, repopulation and therapy resistance. Concurrently, ALHD2*2 augmented alcohol-induced reactive oxygen species and DNA damage to promote apoptosis in the non-CD44H cell population. Pharmacological activation of ALDH2 by Alda-1 inhibits this phenotype, suggesting that acetaldehyde is the primary driver of these changes. Additionally, we find that Aldh2 dysfunction affects the response to cisplatin, a chemotherapeutic commonly used for the treatment of ESCC. Aldh2 dysfunction facilitated enrichment of CD44H cells following cisplatin-induced oxidative stress and cell death in murine organoids, highlighting a potential mechanism driving cisplatin resistance. Together, these data provide evidence that ALDH2 dysfunction accelerates ESCC pathogenesis through enrichment of CD44H cells in response to genotoxic stressors such as environmental carcinogens and chemotherapeutic agents.

Prognosis prediction and risk stratification of breast cancer patients based on a mitochondria-related gene signature

As the malignancy with the highest global incidence, breast cancer represents a significant threat to women's health. Recent advances have shed light on the importance of mitochondrial function in cancer, particularly in metabolic reprogramming within tumors. Recognizing this, we developed a novel risk signature based on mitochondrial-related genes to improve prognosis prediction and risk stratification in breast cancer patients. In this study, transcriptome data and clinical features of breast cancer samples were extracted from two sources: the TCGA, serving as the training set, and the METABRIC, used as the independent validation set. We developed the signature using LASSO-Cox regression and assessed its prognostic efficacy via ROC curves. Furthermore, the signature was integrated with clinical features to create a Nomogram model, whose accuracy was validated through clinical calibration curves and decision curve analysis. To further elucidate prognostic variations between high and low-risk groups, we conducted functional enrichment and immune infiltration analyses. Additionally, the study encompassed a comparison of mutation landscapes and drug sensitivity, providing a comprehensive understanding of the differing characteristics in these groups. Conclusively, we established a risk signature comprising 8 mitochondrial-related genes-ACSL1, ALDH2, MTHFD2, MRPL13, TP53AIP1, SLC1A1, ME3, and BCL2A1. This signature was identified as an independent risk predictor for breast cancer patient survival, exhibiting a significant high hazard ratio (HR = 3.028, 95%CI 2.038-4.499, P < 0.001). Patients in the low-risk group showed a more favorable prognosis, with enhanced immune infiltration, distinct mutation landscapes, and greater sensitivity to anti-tumor drugs. In contrast, the high-risk group exhibited an adverse trend in these aspects. This risk signature represents a novel and effective prognostic indicator, suggesting valuable insights for patient stratification in breast cancer.

What are the changes in the hotspots and frontiers of microRNAs in hepatocellular carcinoma over the past decade?

BACKGROUND

Emerging research suggests that microRNAs (miRNAs) play an important role in the development of hepatocellular carcinoma (HCC). A comprehensive analysis of recent research concerning miRNAs in HCC development could provide researchers with a valuable reference for further studies.

AIM

To make a comprehensive analysis of recent studies concerning miRNAs in HCC.

METHODS

All relevant publications were retrieved from the Web of Science Core Collection database. Bibliometrix software, VOSviewer software and CiteSpace software were used to visually analyze the distribution by time, countries, institutions, journals, and authors, as well as the keywords, burst keywords and thematic map.

RESULTS

A total of 9426 publications on this topic were found worldwide. According to the keywords analysis, we found that the studies of miRNAs focused on their expression level, effects, and mechanisms on the biological behaviour of HCC. Keywords bursting analysis showed that in the early years (2013-2017), "microRNA expression", "gene expression", "expression profile", "functional polymorphism", "circulating microRNA", "susceptibility" and "mir 21" started to attract attention. In the latest phase (2018-2022), the hot topics turned to "sorafenib resistance", "tumor microenvironment" and so on.

CONCLUSION

This study provides a comprehensive overview of the role of miRNAs in HCC development based on bibliometric analysis. The hotspots in this field focus on miRNAs expression level, effects, and mechanisms on the biological behavior of HCC. The frontiers turned to sorafenib resistance, tumor microenvironment and so on.

Based on network pharmacology and experiments to explore the underlying mechanism of Mahonia bealei (Fortune) Carrière for treating alcoholic hepatocellular carcinoma

ETHNOPHARMACOLOGICAL RELEVANCE

Mahonia bealei (Fortune) Carrière (M. bealei) is a traditional medicine widely used by the Hmong community in Guizhou. It possesses diverse biological activities and shows promise in cancer treatment; however, contemporary pharmacological research in this area is lacking.

AIMS OF THE STUDY

This study aimed to investigate the effects and underlying mechanisms of M. bealei on alcoholic hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

We initially employed the LC-MS/MS method to identify the compounds present in M. bealei serum. Subsequently, its potential targets were predicted using public databases. Bioinformatics and network pharmacology approaches, such as univariate Cox regression and random forest (RF) algorithms, were utilized to identify differentially expressed genes (DEGs) associated with the prognosis of alcoholic HCC. Survival curve and receiver operating characteristic (ROC) analyses were conducted using alcoholic HCC-related data from TCGA and GEO to determine the diagnostic value of the identified DEGs. Molecular docking using the CDOCKER approach based on CHARMm was performed to validate the affinity between the predictive compounds and targets. Additionally, we evaluated the impact of M. bealei on cell proliferation, migration, and conducted western blot assays.

RESULTS

The LC-MS/MS approach identified 17 therapeutic components and predicted 483 component-related targets, of which 63 overlapped with alcoholic HCC targets and were considered potential therapeutic targets. GO and KEGG pathway analysis revealed significant associations between the 63 overlapping targets and alcoholic HCC progression. Through various approaches in the Cytoscape 3.9.0 software, we confirmed 9 hub genes (CDK1, CXCR4, DNMT1, ESR1, KIT, PDGFRB, SERPINE1, TOP2A, and TYMS) as core targets. TOP2A and CDK1 genes were identified as advantageous for diagnosing alcoholic HCC using univariate Cox regression, RF, survival curve, and ROC analysis. Molecular docking analysis demonstrated strong binding affinity between key bioactive components cyclamic acid, perfluoroalkyl carboxylic acid, perfluorosulfonic acid, alpha-linolenic acid, adenosine receptor antagonist (CGS 15943), and Prodigiosin and TOP2A and CDK1. In vitro experiments confirmed that M. bealei significantly suppressed cell proliferation and migration of HepG2 cells, while downregulating TOP2A and CDK1 expression.

CONCLUSION

This study highlights the potential of M. bealei as a natural medicine for the treatment of alcoholic HCC. Six compounds (cyclamic acid, perfluoroalkylic carboxylic acids, perfluorosulfonic acid, alpha-linolenic acid, adenosine receptor antagonist (CGS 15943), and Prodigiosin) present in M. bealei serum may exhibit therapeutic effects against alcoholic HCC by downregulating CDK1 and TOP2A expression levels in vitro.

Experimental In Vivo Toxicity Models for Alcohol Toxicity

Alcohol consumption poses a significant risk for the development of chronic illnesses, one of the leading causes of "preventable" disease and death worldwide. Harmful consumption of alcohol is thought to result in approximately 2.5-3 million deaths each year, the majority of which are caused by alcohol-related liver diseases. Hepatocellular carcinoma, cirrhosis, fibrosis, steatosis, and steatohepatitis are among the liver illnesses caused by alcohol. The mechanisms behind human diseases are often mimicked and understood through the use of animal models. Rodents are the ideal animals to study alcohol-related liver diseases. In these experimental models using rodents, the ethanol ratio, method of administration, and diet to be applied vary. Within the scope of this review, it is aimed at providing information about the experimental models used today for alcohol toxicity and the advantages and disadvantages of these models.

Integrative analysis of transcriptomic and metabolomic profiles reveals enhanced arginine metabolism in androgen-independent prostate cancer cells

BACKGROUND

Prostate cancer is a common solid tumor that affects a significant number of men worldwide. Conventional androgen deprivation therapy (ADT) increases the risk of developing castration-resistant prostate cancer (CRPC). Effective clinical management of patients with CRPC is challenging due to the limited understanding.

METHODS

In this study, transcriptomic and metabolomic profiles of androgen-dependent prostate cancer cell line LNCaP and the androgen-independent cells developed from LNCaP cells (LNCaP-ADR) were investigated using RNA-sequencing and LC-MS/MS, respectively. The differentially expressed genes and metabolites were analyzed, and integrative analysis of transcriptomic and metabolomic data was further conducted to obtain a comprehensive understanding of the metabolic characteristics in LNCaP-ADR cells. Quantitative real-time PCR (QPCR) was employed to ascertain the mRNA expression levels of the selected differentially expressed genes.

RESULTS

The arginine and proline metabolism pathway was identified as a commonly altered pathway at both the transcriptional and metabolic levels. In the LNCaP-ADR cells, significant upregulation was observed for metabolites including 5-Aminopentanoic acid, L-Arginine, L-Glutamic acid, N-Acetyl-L-alanine, and Pyrrole-2-carboxylic acid at the metabolic level. At the transcriptional level, MAOA, ALDH3A2, ALDH2, ARG1, CKMT2, and CNDP1 were found to be significantly upregulated in the LNCaP-ADR cells. Gene set enrichment analysis (GSEA) identified various enriched gene sets in the LNCaP-ADR cells, encompassing inflammatory response, 9plus2 motile cilium, motile cilium, ciliary plasm, cilium or flagellum-dependent cell motility, cilium movement, cilium, response to endoplasmic reticulum stress, PTEN DN.V1 DN, SRC UP.V1 UP, IL15 UP.V1 DN, RB DN.V1 DN, AKT UP MTOR DN.V1 UP, VEGF A UP.V1 UP, and KRAS.LUNG.BREAST UP.V1 UP.

CONCLUSIONS

These findings highlight the substantial association between the arginine and proline metabolism pathway and CRPC, emphasizing the need to prioritize strategies that target dysregulated metabolites and differentially expressed genes as essential interventions in the clinical management of CRPC.

Role of Immunological Cells in Hepatocellular Carcinoma Disease and Associated Pathways

Hepatocellular carcinoma (HCC) remains one of the predominant causes of cancer-related mortality across the globe. It is attributed to obesity, excessive alcohol consumption, smoking, and infection by the hepatitis virus. Early diagnosis of HCC is essential, and local treatments such as surgical excision and percutaneous ablation are effective. Palliative systemic therapy, primarily with the tyrosine kinase inhibitor Sorafenib, is used in advanced cases. However, the prognosis for advanced HCC remains poor. This Review additionally describes the pathophysiological mechanisms of HCC, which include aberrant molecular signaling, genomic instability, persistent inflammation, and the paradoxical position of the immune system in promoting and suppressing HCC. The paper concludes by discussing the growing body of research on the relationship between mitochondria and HCC, suggesting that mitochondrial dysfunction may contribute to the progression of HCC. This Review focuses on immunological interactions between different mechanisms of HCC progression, including obesity, viral infection, and alcohol consumption.

Metformin reduces hepatocarcinogenesis by inducing downregulation of Cyp26a1 and CD8+ T cells

BACKGROUND

Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer with major challenges in both prevention and therapy. Metformin, adenosine monophosphate-activated protein kinase (AMPK) activator, has been suggested to reduce the incidence of HCC when used for patients with diabetes in preclinical and clinical studies. However, the possible effects of metformin and their mechanisms of action in non-diabetic HCC have not been adequately investigated.

METHODS

Fah-/-  mice were used to construct a liver-injury-induced non-diabetic HCC model for exploring hepatocarcinogenesis and therapeutic potential of metformin. Changes in relevant tumour and biochemical indicators were measured. Bulk and single-cell RNA-sequencing analyses were performed to validate the crucial role of proinflammatory/pro-tumour CD8+ T cells. In vitro and in vivo experiments were performed to confirm Cyp26a1-related antitumour mechanisms of metformin.

RESULTS

RNA-sequencing analysis showed that chronic liver injury led to significant changes in AMPK-, glucose- and retinol metabolism-related pathways in Fah-/- mice. Metformin prevented the formation of non-diabetic HCC in Fah-/- mice with chronic liver injury. Cyp26a1 ddexpression in hepatocytes was significantly suppressed after metformin treatment. Moreover, downregulation of Cyp26a1 occurred in conjunction with increased levels of all-trans-retinoic acid (atRA), which is involved in the activation of metformin-suppressed hepatocarcinogenesis in Fah-/- mice. In contrast, both CD8+  T-cell infiltration and proinflammatory/pro-tumour cytokines in the liver were significantly upregulated in Fah-/- mice during chronic liver injury, which was notably reversed by either metformin or atRA treatment. Regarding mechanisms, metformin regulated the decrease in Cyp26a1 enzyme expression and increased atRA expression via the AMPK/STAT3/Gadd45β/JNK/c-Jun pathway.

CONCLUSIONS

Metformin inhibits non-diabetic HCC by upregulating atRA levels and downregulating CD8+ T cells. This is the first reporting that the traditional drug metformin regulates the metabolite atRA via the Cyp26a1-involved pathway. The present study provides a potential application of metformin and atRA in non-diabetic HCC.

Aldehyde dehydrogenase 2 gene rs671 G>A polymorphism is associated with an increased risk of digestive tract cancer

OBJECTIVE

Acetaldehyde can accumulate in cells and form acetaldehyde-DNA adducts that result in digestive tract cancer development. Acetaldehyde dehydrogenase 2 (ALDH2) enzymatic activity is involved in this process. Here, we aimed to analyze the relationship between an ALDH2 gene polymorphism and the digestive tract cancer risk in the Hakka population in China.

METHODS

This was a retrospective study, with the ALDH2 rs671 genotype and medical record information collected from all subjects. The relationships between these factors, including various blood cell parameters, and digestive tract cancer susceptibility were analyzed.

RESULTS

Overall, 307 cancer patients and 317 controls were included. The cancer patients had significantly higher percentages with a history of smoking and drinking alcohol, as well as an increased platelet to lymphocyte ratio and lower lymphocyte to monocyte ratio, compared with the controls. The ALDH2 rs671 genotype and allele distributions were significantly different between the cancer patients and controls. Logistic regression analysis showed that the ALDH2 G/A genotype (G/A vs. G/G) and A/A genotype (A/A vs. G/G) in the co-dominant mode were risk factors for digestive tract cancer susceptibility.

CONCLUSIONS

ALDH2 rs671 G/A or A/A genotype carriers may have an increased risk of developing digestive tract cancers among the Hakka people.

Recent insights into the pathogenesis and therapeutic targets of chronic liver diseases

Viral hepatitis, alcohol-associated liver disease (ALD) and non-alcoholic fatty liver disease (NAFLD) are the three major causes of chronic liver diseases, which account for approximately 2 million deaths per year worldwide. The current direct-acting antiviral drugs and vaccinations have effectively reduced and ameliorated viral hepatitis infection, but there are still no effective drug treatments for ALD, NAFLD and liver cancer due to the poor understanding of their pathogenesis. To better understand the pathogenesis, the fifth Chinese American Liver Society/Society of Chinese Bioscientists in America Hepatology Division Annual Symposium, which was held virtually on 21-22 October 2022, focused on the topics related to ALD, NAFLD and liver cancer. Here, we briefly highlight the presentations that focus on the current progress in basic and translational research in ALD, NAFLD and liver cancer. The roles of non-coding RNA, autophagy, extrahepatic signalling, macrophages, etc in liver diseases are deliberated, and the application of single-cell RNA sequencing in the study of liver disease is also discussed.

Liquid biopsy for early detection of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a highly prevalent and lethal cancer globally. Over 90% of HCC cases arise in the context of liver cirrhosis, and the severity of the underlying liver disease or advanced tumor stage at diagnosis significantly limits treatment options. Early diagnosis is crucial, and all guidelines stress the importance of screening protocols for HCC early detection as a public health objective. As serum biomarkers are not optimal for early diagnosis, liquid biopsy has emerged as a promising tool for diagnosis, prognostication, and patients' stratification for personalized therapy in various solid tumors, including HCC. While circulating tumor cells (CTCs) are better suited for personalized therapy and prognosis, cell-free DNA (cfDNA) and extracellular vesicle-based technologies show potential for early diagnosis, HCC screening, and surveillance protocols. Evaluating the added value of liquid biopsy genetic and epigenetic biomarkers for HCC screening is a key goal in translational research. Somatic mutations commonly found in HCC can be investigated in cfDNA and plasma exosomes as genetic biomarkers. Unique methylation patterns in cfDNA or cfDNA fragmentome features have been suggested as innovative tools for early HCC detection. Likewise, extracellular vesicle cargo biomarkers such as miRNAs and long non-coding RNAs may serve as potential biomarkers for early HCC detection. This review will explore recent findings on the utility of liquid biopsy for early HCC diagnosis. Combining liquid biopsy methods with traditional serological biomarkers could improve the overall diagnostic accuracy for early HCC detection.

Unraveling the Complex Interplay between Epigenetics and Immunity in Alcohol-Associated Liver Disease: A Comprehensive Review

The mechanisms of immune dysfunction in alcohol-associated liver disease (ALD) have garnered growing research interest in recent times. Alcohol-mediated immune dysfunction has been implicated as a potential cause of ALD-associated microbial infection and inflammatory response. The immune microenvironment of an organism is essentially a complex network of interactions between immune cells, cytokines, extracellular matrix, and other immune-related molecules. This microenvironment is highly adaptive and responsive to environmental cues. Epigenetic reprogramming of the immune microenvironment has recently emerged as a key driver of ALD progression, particularly in the context of endotoxin tolerance and immune disorders. Although epigenetic modifications are known to play an important role in the regulation of the immune microenvironment in ALD, the specific mechanisms and molecular processes by which this regulation is achieved are yet to be fully understood. This paper aims to provide an overview of the current knowledge on the effects of alcohol consumption on epigenetics, with special focus on summarizing the data on the epigenetic regulatory mechanisms involved in the effects of alcohol consumption on the immune microenvironment. In addition, this paper aims to present a review of the epigenetic modifications involved in different forms of ALD. This review is expected to offer new perspectives for the diagnosis, treatment, monitoring, and prognostic assessment of ALD from an epigenetic perspective.

SLC3A2, as an indirect target gene of ALDH2, exacerbates alcohol-associated liver cancer via the sphingolipid biosynthesis pathway

Excessive drinking is one of the main causes of liver cancer. In the process of alcohol metabolism, aldehyde dehydrogenase 2 (ALDH2) is the key enzyme of acetaldehyde metabolism. ALDH2 gene deficiency is positively associated with the risk of hepatocellular carcinoma (HCC). However, no studies have shown a connection between ALDH2 and another metabolic regulatory gene, SLC3A2. In this study, we analyzed the expression levels of ALDH2 and SLC3A2 in liver cancer tissues based on the TCGA database. Subsequently, we constructed ALDH2 knockout and SLC3A2 knock-in transgenic mice to check the roles of ALDH2 and SLC3A2 in tumorigenesis in vivo. In addition, we examined the mechanisms of ALDH2 and SLC3A2 in HCC cells using small RNA interference technology. Consistent with previous studies, we also confirmed the functions of ALDH2 in inhibiting hepatocarcinogenesis, while SLC3A2 had the opposite effect. The main finding of this study is that ALDH2 inhibited BSG expression through the TGF-β1 pathway, which indirectly inhibited SLC3A2 expression; subsequently, the sphingolipid metabolism pathway was also inhibited in HCC cells. Therefore, SLC3A2 is a novel target for HCC treatment.

Integrated exome sequencing and microarray analyses detected genetic defects and underlying pathways of hepatocellular carcinoma

We performed whole exome sequencing (WES) and microarray analysis to detect somatic variants and copy number alterations (CNAs) for underlying mechanisms in a case series of hepatocellular carcinoma (HCC) with paired DNA samples from tumor and adjacent nontumor tissues. Clinicopathologic findings based on Edmondson-Steiner (E-S) grading, Barcelona-Clinic Liver Cancer (BCLC) stages, recurrence, and survival status and their associations with tumor mutation burden (TMB) and CNA burden (CNAB) were evaluated. WES from 36 cases detected variants in the TP53, AXIN1, CTNNB1, and SMARCA4 genes, amplifications of the AKT3, MYC, and TERT genes, and deletions of the CDH1, TP53, IRF2, RB1, RPL5, and PTEN genes. These genetic defects affecting the p53/cell cycle control, PI3K/Ras, and β-catenin pathways were observed in approximately 80% of cases. A germline variant in the ALDH2 gene was detected in 52% of the cases. Significantly higher CNAB in patients with poor prognosis by E-S grade III, BCLC stage C, and recurrence than patients with good prognosis by grade III, stage A, grade III and nonrecurrence was noted. Further analysis on a large case series to correlate genomic profiling with clinicopathologic classifications could provide evidence for diagnostic interpretation, prognostic prediction, and target intervention on involved genes and pathways.

PIWIL1 interacting RNA piR-017724 inhibits proliferation, invasion, and migration, and inhibits the development of HCC by silencing PLIN3

Background

Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers. Worldwide, liver cancer is the fourth most common cause of cancer-related death. Recent studies have found that PIWI-interacting RNAs (piRNAs) participate in the occurrence and development of various tumors and are closely related to the growth, invasion, metastasis and prognosis of malignant tumors. Studies on the role and functional mechanism of piRNAs in HCC development and progression are limited.

Methods

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were used to detect the expression of piR-017724 in both HCC tissues and cells. Based on the clinical data of HCC patients, the clinical and prognostic value of piR-017724 was further analyzed. Then, targeted silencing and overexpressing of piR-017724 in HCC cells was further used to examine the biological functions of piR-017724. In addition, the downstream target protein of piR-017724 was predicted and validated through high-throughput sequencing and public databases.

Results

The piR-017724 was significantly downregulated in HCC tissues and cells, and the downregulation of piR-017724 was associated with tumor stage and poor prognosis in HCC. The piR-017724 inhibitor promoted the proliferation, migration and invasion of HCC cells, while the piR-017724 mimic had the opposite effect. However, the piR-017724 did not affect apoptosis of HCC cells. High-throughput sequencing and qRT-PCR confirmed a reciprocal relationship between piR-017724 and PLIN3. Therefore, we speculate that piR-017724 may inhibit the development and progression of HCC by affecting the downstream protein PLIN3.

Conclusions

Our study shows that piR-017724, which is lowly expressed in HCC, inhibits the proliferation, migration and invasion of HCC cells and may affect the development of hepatocellular liver cancer through PLIN3, which provides new insights into the clinical application of piR-017724 in the treatment of hepatocellular carcinoma.