Abstract
Steatotic liver diseases (SLDs), including metabolic dysfunction-associated steatotic liver disease (MASLD; formerly known as non-alcoholic fatty liver disease) and alcoholic liver disease, are the leading causes of chronic hepatitis, liver dysfunction, cirrhosis and liver cancer development. Severe manifestations of MASLD and alcoholic liver disease include metabolic dysfunction-associated steatohepatitis (MASH; formerly known as non-alcoholic steatohepatitis) and alcoholic steatohepatitis (ASH) or a combination thereof, termed metabolic dysfunction and alcohol-associated liver disease. While MASH-associated and ASH-associated liver cancers display common histopathological features, the underlying cellular and molecular pathophysiological mechanisms of each are distinct. Recent studies indicate that SLDs encompass previously unrecognized spectra of heterogeneous, metabolic, immunological and genetic diseases that, in combination with lifestyle measures and individual patient comorbidities, affect disease pathogenesis and therapy response. Here, we review the current knowledge of the molecular, genetic and cellular mechanisms underlying the transition of MASH or ASH to liver cancer as well as novel developments in liver cancer risk assessment in SLDs. We further discuss possible obstacles of differential diagnosis and outline current developments in the therapeutic management of both MASH-related and ASH-related liver cancer.
Introduction
Steatotic liver diseases (SLDs) are characterized by pathological lipid accumulation in the liver1. The underlying causes for this can be manifold, including genetic predisposition, viral infection, lifestyle-related factors, age-induced changes, or a combination thereof2. Moreover, SLDs are the leading cause of chronic hepatic inflammation and liver cancer, where liver cancer is the third most common cause of cancer-related deaths worldwide3. In recent decades, the incidence of SLD-associated cancers has steadily increased4. SLDs typically lead to the development of hepatocellular carcinoma (HCC), the most common subtype of liver cancer, which represents approximately 80% of all primary liver cancer cases. Less frequently, SLDs can lead to the development of cholangiocarcinoma (CCC) or mixed HCC/CCC, which together account for around 10–20% of cases5. Metabolic dysfunction-associated steatotic liver disease (MASLD) and alcoholic liver disease (ALD) are the two most prevalent SLDs. When metabolic dysfunction occurs together with chronic alcohol abuse, these factors act synergistically to induce hepatic steatosis and chronic inflammation, and the result is now classified as metabolic dysfunction and alcohol-associated liver disease (MetALD)6–8.
MASLD is the hepatic manifestation of metabolic syndrome, which is characterized by obesity, high blood sugar and high cholesterol (Fig. 1a). It has emerged as the most common chronic liver disease worldwide9,10, likely due to increasing global obesity rates. Increased consumption of highly processed foods and diets rich in lipids and carbohydrates, referred to as a Western diet, combined with a sedentary lifestyle11,12, contributes to this development13. Conversely, ALD is the result of chronic, excessive alcohol intake14 (Fig. 1b). Both MASLD and ALD are characterized by hepatic steatosis, which is accompanied by lipotoxicity and metabolic reprogramming in hepatocytes, as well as an increase in activated innate and adaptive immune cells within the liver15. Chronic activation of hepatic immune cells, including lipid-associated macrophages, natural killer cells and CD8+ T cells, leads to metabolic dysfunction-associated steatohepatitis (MASH) in MASLD and alcoholic steatohepatitis (ASH) in ALD. Steatohepatitis is characterized by chronic necro-inflammation and develops progressively through a dynamic, cyclic process involving hepatic cell death, inducing an immune response and prompting liver regeneration. The chronic progression of MASH and ASH results in gradual extracellular matrix (ECM) deposition, fibrosis, cirrhosis, DNA damage and, ultimately, liver cancer10,14,16,17 (Fig. 1a,b). Genetic and epigenetic alterations, such as single nucleotide polymorphisms (SNPs), have been described to predispose to the progression of MASLD and ALD to MASH and ASH, increasing the risk for the development of cirrhosis and liver cancer18,19.
Fig. 1 |. The pathogenesis of steatotic liver diseases and hepatocellular carcinoma.

a, Metabolic dysfunction-associated steatotic liver disease (MASLD) and its advanced stage, metabolic dysfunction-associated steatohepatitis (MASH), primarily arise in the context of metabolic syndromes and are commonly associated with obesity, arterial hypertension, elevated plasma triglyceride levels, reduced high-density lipoprotein cholesterol and type 2 diabetes mellitus as a comorbidity. These factors lead to hepatic steatosis and metabolically dysfunctional hepatocytes. This process is further altered by genetic predisposition and dysbiosis of the gut microbiome. Crosstalk between hepatocytes and immune cells results in immune cell activation and dysfunction, promoting liver damage, proliferation and hepatocellular carcinoma (HCC) development. b, Alcohol-associated liver disease (ALD) and its advanced-stage disease, alcohol-associated steatohepatitis (ASH), are driven by chronic alcohol consumption. Similar to MASH, its development is also influenced by genetic risk factors and dysbiosis of the gut microbiome. Chronic alcohol intake leads to increased de novo lipogenesis and downstream hepatic steatosis. Acetaldehyde, a byproduct of alcohol metabolism, is elevated in patients with MASH, leading to excessive lipid peroxidation and DNA damage, which promotes disease progression by inducing liver injury, hepatocyte proliferation and, ultimately, HCC. ER, endoplasmic reticulum; HSC, hepatic stellate cell; LPS, lipopolysaccharides; MDSC, myeloid-derived suppressor cell; NK, natural killer; ROS, reactive oxygen species; TH17 cell, T helper 17 cell; TNF, tumour necrosis factor; Treg cell, regulatory T cell.
Importantly, many preclinical studies on MASH and ASH focus on earlier disease processes such as hepatic steatosis and inflammation, and thus do not address the mechanisms involved in MASH-to-HCC or ASH-to-HCC transition20–22. It therefore remains unknown whether the mechanisms promoting MASH or ASH development are also involved in MASH-to-HCC or ASH-to-HCC transition23. While MASH-associated and ASH-associated HCC are histopathologically similar, the cellular and molecular mechanisms underlying the development and progression of these diseases are partly distinct24; however, the phenotypic and functional factors contributing to these differences are insufficiently understood.
The emergence of novel platforms for single-cell and spatial sequencing has helped to dissect the distinct immune-metabolic microenvironment in these diseases with unprecedented resolution23,25–27. In both MASH and ASH, immune and metabolic features contribute to the development of primary liver cancers, including HCC and, less frequently, CCC28. Importantly, a growing number of studies revealed that the biology of cancers in the liver is impacted by the immune-metabolic microenvironment in which these malignancies emerge23,29. Accordingly, disease-specific cellular and molecular patterns have been identified that are linked to survival outcomes and immunotherapy response17,30.
In this Review, we outline the cellular and molecular mechanisms underpinning SLD-associated HCC pathogenesis. We place particular emphasis on the critical tumour-promoting effects in the context of MASH and ASH such as lipid accumulation, inflammation and metabolic dysregulation. We further discuss how this knowledge translates into possible diagnostic and therapeutic approaches. Finally, we identify and outline how to address the remaining knowledge gaps to mitigate the growing burden of SLDs. Although MASH and ASH are increasingly recognized as systemic conditions with potential oncogenic effects beyond the liver, exploring their roles in the development of extrahepatic cancers is beyond the scope of this Review.
Pathophysiology of SLD-associated cancers
Environmental drivers of MASH-to-HCC and ASH-to-HCC transition
While the relationship between obesogenic diets and developing MASH is well characterized, the correlation of alcohol consumption in promoting the development of MetALD or ASH is less reliable given that patients self-report their alcohol intake31. For example, measuring ethyl glucuronide, a metabolite whose presence in the hair correlates positively with alcohol intake, demonstrated that alcohol intake was underreported in 25% of patients with suspected MASLD32. Thus, it can often be difficult to ascertain the direct impact of alcohol versus diet in individuals with an SLD. This challenge emphasizes the importance of using preclinical models where exposure to hepatotoxic compounds, such as ethanol or specific diets, can be controlled to investigate the biology of these diseases (Box 1) — this would allow for the disentanglement of the differences in the pathophysiology of MASH-to-HCC and ASH-to-HCC transitions.
Box 1 | Preclinical models of steatotic liver disease-associated hepatocellular carcinoma.
Preclinical mouse models of metabolic dysfunction-associated steatohepatitis (MASH), MASH-associated hepatocellular carcinoma (HCC), and alcoholic steatohepatitis (ASH) and ASH-associated HCC have been extensively reviewed284,285. The predominant challenge in adopting these mouse models, like all mouse models, involves the metabolic and genetic differences between mice and humans34. In principle, preclinical mouse models present features of steatotic liver diseases (SLDs) that vary depending on the primary insult and can be categorized based on the underlying cause, for example, dietary, genetic or toxin-induced causes. However, in the context of MASH and MASH-associated HCC, high-caloric diet-induced models do not produce a uniform disease aetiology. The quantity and quality of the dietary components in the high-calorie diet are crucial in dictating the histopathological features of the disease. It is noteworthy that these long-term dietary models display features of metabolic syndrome, such as obesity and liver cancer development, which are characteristic of MASH-associated HCC in humans. Additionally, toxins and carcinogens, such as diethylnitrosamine and carbon tetrachloride, as well as genetic modifications, such as the Foz/Foz, major urinary protein (MUP)–urokinase-type plasminogen activator (uPA) or Pten-null mouse models, are frequently used to induce and accelerate liver damage to more quickly recapitulate aspects of MASH and MASH-associated HCC.
Foz/Foz mice carry a loss-of-function mutation in Alms1 and develop severe obesity, insulin resistance and dyslipidaemia. When challenged with a high-fat or Western diet, they rapidly progress to steatohepatitis with fibrosis and eventually HCC, making this a metabolically driven model of MASH-associated hepatocarcinogenesis286. MUP-uPA mice exhibit transient hepatocyte-specific expression of uPA, which induces early endoplasmic reticulum stress and liver injury. Subsequent high-fat feeding leads to chronic inflammation, fibrosis and a high incidence of HCC, modelling inflammation-driven HCC arising from MASH287. Finally, hepatocyte-specific deletion of Pten results in constitutive PI3K–AKT activation, causing hepatic steatosis, chronic inflammation and spontaneous development of HCC, in the absence of dietary interventions288. Despite their utility, the clinical relevance of these models remains debatable, as disease initiation is driven primarily by strong genetic perturbations rather than by lifestyle-associated factors such as excess calories and physical inactivity that underlie most human MASH and MASH-associated HCC53,284.
In the context of ASH, in addition to the metabolic and genetic differences between mice and humans, mice also exhibit psychological behavioural differences289. The classical Lieber–DeCarli mouse model of ethanol feeding, whereby mice obtain a high-caloric liquid composed of ethanol and other dietary components, is frequently used in preclinical studies. However, this model does not fully recapitulate the pathological and clinical features of ASH such as progressive fibrosis. In addition, its use in long-term studies is limited by the reliance on a purely liquid diet, which can alter normal feeding behaviour, affect gut physiology, and lead to reduced compliance and nutritional imbalances over prolonged administration. Similarly to the Lieber–DeCarli diet, chronic administration of alcohol in the drinking water of mice fails to induce typical histopathological features of steatohepatitis if not accompanied by high-caloric feeding290. In the case of the Gao-binge model, where the first phase involves chronic ethanol feeding through a liquid diet followed by a second phase in which an acute binge ethanol gavage is administered, liver injury is initiated in a time-efficient manner. However, it recapitulates only earlier stages of the human disease and does not induce cirrhosis or cancer291. Furthermore, as alcohol displays weak carcinogenic activity in mice292, chronic ethanol feeding must be combined with toxin-induced liver damage to induce ASH-associated HCC55. A new mouse model has recently been considered where obesity and alcohol administration are combined to induce metabolic dysfunction and alcohol-associated liver disease. The mice are fed a MASH-inducing diet, and ethanol is given either chronically in the drinking water, as binge drinking doses or as a combination of both7.
In patients with MASH and mouse models of MASH, the impact of diet on chronic hepatic inflammation and HCC development has been extensively studied over the past few decades33; however, the mechanisms determining the effects of physical activity or lack thereof on the pathogenesis of MASH-associated HCC remain less well described34. In this context, Piguet et al.35 demonstrated that, in hepatocyte-specific PTEN-deficient mice, a genetically engineered mouse model for MASH and MASH-associated HCC, a regular exercise regime with treadmills leads to a reduction in HCC incidence through phosphorylation and activation of AMP-activated protein kinase (AMPK) and subsequent inhibition of the mTORC1 complex.
In addition to dietary habits and a sedentary lifestyle, environmental risk factors and exposure to toxic compounds (for example, smoking or air pollution) can also influence the initiation of MASH and its progression to HCC36–40. Recently, Chen et al.41 demonstrated that nicotine exposure in drinking water aggravates Western diet-induced liver damage by activating intestinal AMP–AMPKα signalling, which leads to the phosphorylation of sphingomyelin phosphodiesterase 3 (SMPD3) and enhances intestinal ceramide formation. Intestinal ceramides contribute to MASH and MASH-associated HCC by acting as gut-derived lipotoxic signals that directly affect the liver through the portal circulation. However, whether inhaling nicotine imparts a different or enhanced effect on HCC development remains unknown.
Moreover, circadian rhythm perturbations have been shown to drive MASH and MASH-associated hepatocarcinogenesis42. In a mouse model of chronic jet lag, characterized by circadian disruption, DNA damage and pathological lipid accumulation occurred in hepatocytes. The study further showed that chronic disruption of the circadian clock in mice leads to development of HCC through the dysregulated activity of nuclear receptors involved in bile acid metabolism, especially the constitutive androstane receptor and the farnesoid X receptor (FXR). Circadian rhythm disruption causes bile acid dysregulation and cholestasis in the liver, which leads to indirect activation of the constitutive androstane receptor. Stress signalling pathways triggered by bile acid accumulation, together with increased sympathetic nervous system activity, promote constitutive androstane receptor dephosphorylation and nuclear translocation while suppressing the opposing activity of FXR. Once activated, constitutive androstane receptor induced a transcriptional programme that induced cell-cycle and survival genes. In MASH, this results in forced proliferation and reduced apoptosis of hepatocytes that already harbour metabolic and oxidative DNA damage. By promoting the expansion of damaged cells and worsening bile acid and lipid imbalance, chronic constitutive androstane receptor activation drives MASH-to-HCC transition43.
Chronic alcohol abuse leads to chronic inflammation, fibrosis and development of HCC through enhanced production of acetaldehyde, a product of ethanol metabolism14. Acetaldehyde, derived mainly by the activity of alcohol dehydrogenase (ADH) and cytochrome p450 2E1 (CYP2E1), can promote oxidative stress, endoplasmic reticulum stress, DNA damage and lipotoxicity14,44. In both patients and mouse models of ASH-associated HCC, the role of other lifestyle-related aetiologies, such as smoking or high-fat and high-sugar diets, warrants further investigation.
Genetic and metabolic drivers of MASH-associated and ASH-associated HCC
MASH-associated HCC.
There are several shared genetic factors for MASH and ASH progression to HCC45. The combination of multiple genetic factors enables the generation of a polygenic risk score (PRS) for HCC development in individuals presenting with risk factors for SLD46,47. SNPs such as PNPLA3 p.Ile148Met, TM6SF2 p.Glu167Lys, SERPINA1 p.Gly366Lys, HSD17B13 rs6834314 and MTARC1 p.Ala165Thr, and other genetic variants increase the risk of SLD initiation and progression19,48–50, while the presence of other SNPs, such as HSD17B13 rs6834314, protect against liver fibrosis in individuals presenting with established risk factors for MASH development such as insulin resistance51. Moreover, a PRS for ASH-associated cirrhosis (PRSALC) was generated using a curated set of genetic variants, comprising 20 SNPs located within 12 genes, 3 long non-coding RNAs and 1 intergenic region. SNPs were commonly found in PNPLA3, TM6SF2 and HSD17B13 in both patients with MASH and patients with ASH, and therefore represent major contributors to the PRSALC (ref. 52).
While there are overlaps in the genetic alterations seen in MASH-associated and ASH-associated HCC, such as TP53 mutations and TERT promoter mutations, each subtype exhibits unique mutational signatures53. MASH-associated HCC is more strongly associated with CTNNB1 mutations and the activation of the Wnt–β-catenin pathway, reflecting metabolic dysregulation and lipotoxicity intrinsic to the condition53. Similarly, ASH-associated HCC displays high frequencies of mutations in ARID1A and CCND1, which reflect the genotoxic effects of alcohol and the resulting DNA damage and chromatin dysregulation as shown in tissue specimens from patients with ASH-associated HCC54,55.
Furthermore, MASH-related cirrhosis without HCC often has immunosuppressive molecular features that are likely to predispose the liver to HCC development53,56. In line, the genetic landscape of MASH-associated HCC is heavily influenced by insulin resistance, lipotoxicity and chronic inflammation, leading to mutations in genes involved in cell proliferation, metabolism and genomic stability53,57. Interestingly, hepatocarcinogenesis can also occur before the development of cirrhosis in MASH17. In this context, the mutational signature and number of mutations per tumour are higher in patients with MASH-associated HCC without cirrhosis than in patients with MASH-associated HCC and cirrhotic liver tissue53. The underlying molecular mechanisms that determine the number of mutations in MASH-related hepatocarcinogenesis and the influence of the degree of fibrosis remain elusive.
Mutations in CTNNB1 have been identified as one of the hallmark genetic alterations in MASH-associated HCC, which result in the activation of the Wnt–β-catenin signalling pathway and an immunosuppressive microenvironment53. The accumulation of fat in the liver, coupled with lipotoxicity, induces oxidative stress and inflammatory cytokine release, which further activate these pathways, promoting cellular proliferation and tumorigenesis58,59. TP53 mutations, prevalent in about 33% of MASH-associated HCCs, are associated with multinodular tumours53. However, how mechanistically TP53 mutations or loss of p53 contribute to hepatocarcinogenesis in MASH remains elusive. Moreover, in MASH-associated HCC, mutations in PIK3CA, which lead to aberrant activation of the PI3K–AKT signalling pathway60, are highly prevalent and often associated with insulin resistance and the hyperglycaemic environment characteristic of the metabolic syndrome61.
Moreover, epigenetic modifications primarily through changes in DNA methylation, histone modifications and non-coding RNA activity, have a pivotal role in liver fibrogenesis and cancer development in MASH62. ARID1A, a chromatin remodelling gene, was shown to be mutated in about 6% of MASH-associated HCCs53, contributing to altered chromatin dynamics and disrupting tumour suppressor pathways such as the p53 pathway63. Relatedly, TERT promoter mutations are common in MASH-associated HCC, increasing telomerase activity and enabling continued cellular proliferation and resistance to apoptosis53.
Metabolic risk factors, including arterial hypertension, elevated plasma triglyceride and cholesterol levels, as well as insulin resistance and type 2 diabetes mellitus, are drivers of disease progression in MASH64. Chronic hyperglycaemia and insulin resistance promote hepatic de novo lipogenesis, oxidative stress and inflammation, accelerating hepatocellular injury and fibrogenesis65. Elevated insulin and insulin growth factor 1 (IGF1) signalling activate oncogenic pathways such as PI3K–AKT and MAPK signalling, enhancing cell proliferation and survival66,67. Additionally, advanced glycation end products (AGEs), generated by non-enzymatic glycation of proteins and lipids, as well as altered adipokine secretion, exacerbate hepatic inflammation and genomic instability, creating a pro-tumorigenic microenvironment68,69.
Furthermore, MASH-induced dysregulation of bile acid metabolism70 has been shown to promote the accumulation of bile acids in the bloodstream, termed cholaemia, which increases the risk for HCC. While hepatocarcinogenesis in MASH is in most cases linked to obesity, cholaemia can drive HCC development even in the context of patients with a low body mass index71. Spontaneous cholaemia was recently shown to induce liver tumours in 100% of mice treated with MASH-inducing diets72. Furthermore, accumulated bile acids induce hepatotoxicity through oxidative stress and mitochondrial dysfunction through the disruption of mitochondrial membranes, and activate NADPH oxidases as well as inflammatory pathways, including nuclear factor-κB (NF-κB) and the NOD-, LRR- and pyrin domain-containing protein 3 (NLRP3) inflammasome complex. These processes exacerbate liver injury, promoting steatosis, inflammation and fibrosis. Persistent cholestasis further drives progression to MASH-associated HCC by inducing DNA damage73 and epigenetic alterations and activating oncogenic pathways such as YAP–TAZ signalling74. Moreover, disruption of bile acid homeostasis72 leads to impairment of the function of bile acid transporters, such as the bile salt export pump (BSEP), and activation of bile acid-sensing nuclear receptors such as FXR73,74, which suppresses hepatic inflammation and fibrosis. Consequently, the loss of FXR function in MASH has been shown to trigger hepatocarcinogenesis in mice75. Therefore, targeting bile acid dysregulation by using FXR agonists could mitigate the impact of cholaemia and cholestasis on MASH and its progression to HCC. While the activation of other nuclear receptors, such as peroxisome proliferator-activated receptor-α (PPARα) or PPARγ, to promote fatty acid β-oxidation and therefore reduce hepatic steatosis has been proposed, chronic or excessive activation of these receptors has been associated with hepatomegaly, peroxisome proliferation and increased risk of HCC in preclinical mouse models of MASH76.
Additionally, both metabolic stress and lipotoxicity can induce DNA hypomethylation and the hypermethylation of promoter regions of tumour suppressor genes, such as RARRES3, in hepatocytes77–79. Similarly, dysregulated expression of non-coding RNAs, such as microRNA-122 (miR-122), can also modulate lipid metabolism, inflammation and cell proliferation through the adaptation of hepatic gene expression by post-transcriptional repression of mRNAs involved in lipid synthesis, inflammatory signalling and cell-cycle control80. In this context, blocking miR-122 with an antagomir, a single-stranded antisense oligonucleotide designed to specifically inhibit a mature microRNA, was found to reduce steatosis and weight gain in mouse models of MASLD80.
ASH-associated HCC.
In addition to the generation of acetaldehyde and reactive oxygen species (ROS) leading to chronic necro-inflammation44, alcohol consumption can promote inflammasome activation, dysregulation of cell death and metabolic reprogramming of bile acids and fatty acids in hepatocytes as well as endoplasmic reticulum stress and the associated activation of the unfolded protein response (UPR)81. This, together, leads to steatosis, cirrhosis and liver cancer development82,83. Similarly to MASH-associated HCC, TP53 mutations are the most frequently observed genetic alteration in ASH-associated HCC54. Additionally, CCND1 (encoding cyclin D1) amplification and activating mutations in AKT1 are commonly found in ASH-associated HCC84, where CCND1 drives uncontrolled cell proliferation, and AKT1 promotes cell survival, migration and resistance to apoptosis85.
Additionally, the presence of genetic polymorphisms of enzymes involved in alcohol catabolism is also frequently a determinant of disease progression and hepatic carcinogenesis55. For instance, polymorphisms in alcohol-metabolizing enzymes, such as alcohol dehydrogenase 1C (ADH1C)*1 and aldehyde dehydrogenase 2 (ALDH2)*2, can alter acetaldehyde metabolism. The ADH1C*1 variant encodes a higher-activity ADH1C that converts ethanol to acetaldehyde more rapidly, whereas the ALDH2*2 variant produces a catalytically inactive or severely impaired ALDH2, markedly reducing acetaldehyde clearance86. The combination of increased acetaldehyde production and impaired detoxification leads to acetaldehyde accumulation, which is associated with an increased risk of developing ASH-associated HCC87,88.
Moreover, the presence of some epigenetic modifications has been shown to drive ASH progression to HCC89. For example, acetaldehyde inhibits methionine adenosyltransferase activity and disrupts folate-dependent methyl group transfer, resulting in reduced hepatic levels of S-adenosylmethionine, the principal methyl donor required for DNA and histone methylation90. S-adenosylmethionine depletion promotes global DNA hypomethylation and genomic instability, while paradoxically inducing locus-specific hypermethylation of tumour suppressor genes such as CDKN2A (encoding p16), leading to their transcriptional silencing and loss of cell-cycle control. This selectivity reflects inflammation-driven and stress-driven recruitment of DNA methyltransferases to susceptible promoters and impaired demethylation, resulting in preferential inactivation of key regulatory pathways that facilitates hepatocyte proliferation, malignant transformation and hepatocarcinogenesis91,92. Beyond DNA methylation, chronic alcohol exposure dysregulates non-coding RNAs, particularly oncogenic microRNAs such as miR-21 and miR-155, which enhance inflammatory signalling and inhibit apoptosis in hepatocytes in ASH93 and ASH-associated HCC94,95. However, blocking or delivering specific microRNAs as a novel therapeutic approach for both ASH and ASH-associated HCC require further investigation.
Inflammation in MASH and ASH
Pro-inflammatory cytokines, triggering or maintaining chronic inflammation, particularly IL-6 and tumour necrosis factor (TNF), have emerged as critical mediators in the pathogenesis of MASH, ASH and their transition to HCC96–98. IL-6 was shown to stimulate signal transducer and activator of transcription 3 (STAT3) signalling, and TNF activates canonical and non-canonical NF-κB signalling99,100 to promote inflammation, cell proliferation and survival, and oncogenesis101. Targeted inhibition of STAT3 in hepatocytes suppressed tumour formation in mice with chemically induced HCC, highlighting the role of STAT3 in liver tumour initiation and growth102,103. However, chemically induced HCCs in mice do not represent models for patients with MASH-associated or ASH-associated HCC as there is no development of steatohepatitis. It therefore remains to be elucidated whether inhibition of STAT3 also leads to tumour suppression in MASH and ASH. Studies using various mouse models of liver cancer have demonstrated that the pro-tumorigenic or anti-tumorigenic activity of canonical as well as non-canonical NF-κB signalling depends on the cellular context and nature of the initiating insult104. For instance, transgenic expression of lymphotoxin-α and lymphotoxin-β in hepatocytes — both potent activators of NF-κB — has been shown to be sufficient to trigger HCC development in the context of MASH105,106. Moreover, NF-κB essential modulator (NEMO) is a subunit of the IκB kinase complex that activates canonical NF-κB signalling in hepatocytes, and its activation can prevent the development of steatohepatitis and HCC in mouse models of MASH, identifying NEMO as a tumour suppressor in the liver107. However, TAK1 constrains the pro-tumorigenic function of NEMO in parenchymal liver cells independent of canonical NF-κB signalling. Genetic studies in hepatocytes show that loss of TAK1 enables NEMO-dependent hepatocyte death, compensatory proliferation and hepatocarcinogenesis, even when NF-κB transcriptional activity is impaired108. Thus, these findings support the idea of context-dependent pro-tumorigenic or anti-tumorigenic functions of NEMO signalling in the liver.
MASLD-associated and ALD-associated HCC
Importantly, while the risk for the development of liver cancer rises with the extent of fibrosis and cirrhosis10,17, it can also evolve in patients with MASLD or ALD, thus bypassing the progression to MASH and ASH and the associated overt chronic inflammation, fibrosis and cirrhosis109–111. However, the precise mechanisms enabling this remain unknown17. In tissues from patients with MASLD and in mice fed a high-fat diet without evidence of fibrosis, Fan et al.109 found that the accumulation of AGEs in ECM enhanced liver viscoelasticity. This ECM stiffening activates mechanotransduction pathways, specifically integrin-β1–tensin 1–YAP signalling, leading to enhanced YAP nuclear localization and transcriptional activity. Through this mechanically driven signalling cascade, AGE-induced ECM remodelling promotes pro-oncogenic responses, thereby increasing the risk for HCC development even in the absence of fibrosis109. Nonetheless, in vivo models that may closely resemble the biology of cancers in the non-cirrhotic liver in SLD are yet to be established. In the future, identifying patients who are at high risk of developing liver cancer in the absence of advanced fibrosis or cirrhosis will be critical for early detection and prevention strategies. Therefore, it is imperative that mouse models are developed that can enable investigations of MASLD-associated and ALD-associated, non-cirrhotic HCC65,110. Similarly, research for improving our understanding of the effects of reversing tissue fibrosis and decreasing tissue viscoelasticity is of great importance112,113.
MASH and MASH-associated HCC
Innate immune cells.
In patients and multiple diet-induced mouse models of MASH, lipid-associated macrophages expressing the lipid receptor triggering receptor expressed on myeloid cells 2 (TREM2) were shown to augment MASH development114–117 (Fig. 2a). Given the natural function of TREM2, these macrophages were initially described as lipid-scavenging cells. Nevertheless, this myeloid population likely originates from circulating monocytes and is suggested to replace resident lipid-engulfed dysfunctional Kupffer cells in advanced stages of MASH118. Therefore, the replacement of dysfunctional Kupffer cells by TREM2+ lipid-associated macrophages represents a critical transition from a compensatory response to a maladaptive macrophage phenotype. Conversely, TREM2+ macrophages were shown to mediate resolution of inflammation as well as to promote regression of fibrosis in mouse models of MASH119 and in patients with MASH undergoing bariatric surgery120. Moreover, the number of monocyte-derived macrophages expressing pro-tumorigenic molecules (upregulating markers such as CD163, TREM2 and SPP1) and MARCO+ Kupffer cells (downregulating genes related to antigen presentation), which are often viewed as ‘restorative’, increases with MASH progression to dampen inflammation and resolve liver damage. While initially these phenotypes limit inflammation, their sustained activation promotes immunosuppression, impaired antigen presentation and secretion of profibrotic mediators (including TGFβ, platelet-derived growth factor (PDGF) and osteopontin), thereby reinforcing hepatic stellate cell (HSC) activation, ECM deposition and fibrosis. Thus, in the context of ongoing metabolic stress, reparative macrophage programmes become maladaptive and actively contribute to disease progression rather than resolution121–124. However, further studies are needed to characterize the variegated nature of these cells and to validate their modulation as a potential intervention for the treatment of MASH and MASH-to-HCC transition.
Fig. 2 |. The immune landscape of advanced steatotic liver diseases contributes to the development and progression of HCC.
The complex interplay between immune and parenchymal cells in metabolic dysfunction-associated steatohepatitis (MASH) and alcohol-associated steatohepatitis (ASH) is depicted, highlighting both shared and distinct immunological features of each aetiology. a, In MASH, steatosis leads to excessive lipid accumulation in hepatocytes, driving metabolic dysfunction and triggering innate and adaptive immune cell activation. This results in a hyper-aggressive immune response and a pro-tumorigenic inflammatory state. The innate immune compartment is characterized by Kupffer cells and infiltrating monocyte-derived macrophages adopting pro-inflammatory and profibrogenic phenotypes that drive cytokine and chemokine production. In parallel, conventional dendritic cells (cDCs) act as key immune sentinels that sense metabolic stress and cellular damage. Upon activation, cDCs capture lipid-modified and oxidation-modified antigens from injured hepatocytes and present them to T lymphocytes in the liver and draining lymph nodes. This antigen-presenting function links metabolic injury to adaptive immune activation. Adaptive immune cells, like CD4+ and CD8+ T cells, are chronically activated and demonstrate features of auto-aggression and exhaustion, contributing to hepatocyte damage, inflammation and preneoplasia development. B cells and plasma cells expand in response to lipid-derived and oxidation-derived antigens, producing antibodies that can sustain inflammation. b, In ASH, chronic alcohol consumption similarly disrupts the intestinal barrier, leading to microbial translocation, liver injury and fibrosis. The innate immune system is activated, with macrophages having central roles by sensing danger signals and producing pro-inflammatory cytokines such as IL-6, while neutrophils promote oxidative stress, protease release and the formation of neutrophil extracellular traps. Ongoing oxidative stress leads to the accumulation of oxidation-specific epitopes (OSEs), which act as danger signals and activate B cells and their differentiation into plasma cells, resulting in sustained antibody responses against oxidized self-antigens that can amplify hepatic inflammation. The adaptive immune compartment is also dysregulated in response to chronic alcohol exposure, with CD8+ and CD4+ T cells showing features of chronic activation and functional impairment, leading to an expansion of regulatory T (Treg) cells and myeloid-derived suppressor cells (MDSCs). Additionally, alcohol exposure promotes altered cytotoxicity and cytokine production in natural killer (NK) and NKT cells, activating hepatic stellate cells (HSCs) and ultimately promoting fibrosis. Together, these immune alterations sustain chronic inflammation, promote hepatocellular damage and drive progression towards fibrosis, cirrhosis and, ultimately, hepatocellular carcinoma (HCC). c, In established HCC, the tumour tissue contains activated macrophages and dendritic cells (DCs) that produce inflammatory cytokines such as C-X-C motif chemokine 10 (CXCL10). In addition, CXCL13+CD4+ T cells are present and promote local immune cell recruitment and tertiary lymphoid structure-like niches. Together, these populations sustain intratumoural inflammation, support angiogenesis, and enhance tumour cell proliferation and tissue remodelling. At the same time, the HCC microenvironment is infiltrated by immunosuppressive cell populations. Tumour-associated macrophages (TAMs) often exhibit regulatory phenotypes and secrete IL-10 and TGFβ. Treg cells are enriched and suppress effector T cell responses. CD8+ T cells frequently display an exhausted phenotype with impaired cytotoxicity and high expression of inhibitory receptors. Collectively, these mechanisms weaken immune surveillance and enable tumour persistence and progression. CAF, cancer-associated fibroblast; CXCR3, C-X-C chemokine receptor 3; GZMK, granzyme K; ICOS, inducible T cell co-stimulator; MHC, major histocompatibility complex; ROS, reactive oxygen species; SPP1, secreted phosphoprotein 1; TH17 cell, T helper 17 cell; TNF, tumour necrosis factor; TREM2, triggering receptor expressed on myeloid cells 2; XCR1, XC receptor 1.
In established HCC tumours, TREM2+ macrophages, alone or in clusters with PLVAP+ endothelial cells and POSTN+ cancer-associated fibroblasts (conforming an onco-fetal niche that is associated with relapse after resection125,126), hinder patient response to immunotherapy and are associated with worse prognosis127,128 (Fig. 2c). Consistently, in samples from patients with MASH-associated HCC, immunosuppressive PDL1+ inducible T cell co-stimulator (ICOS)+ myeloid-derived suppressor cells and tumour-associated macrophages are linked to tumour progression, highlighting their role in orchestrating immune evasion25. In the progression to MASH-associated HCC, this immunosuppressive character is likely to dominate, contributing to the recruitment of regulatory T (Treg) cells and hindering the effector activity of CD8+ T cells128,129. Furthermore, pro-inflammatory C-X-C motif chemokine 10 (CXCL10)+ macrophages promote C-X-C chemokine receptor type 3 (CXCR3)+ effector memory CD8+ T cell infiltration and are enriched in tumours from patients with advanced HCC that are responding to immunotherapy127.
Dendritic cells are also important drivers of liver disease, and their numbers increase among infiltrating immune cells in MASH-associated livers130. However, the role of these cells in the progression of MASH and MASH-associated HCC remains poorly understood. In mice fed a methionine-choline-deficient diet, selective depletion of conventional dendritic cells (cDCs) halted MASH progression, indicating that cDCs promote rather than protect against disease development. Heier et al.131 showed that the depletion of CD103+ cDCs (cDC1s) similarly resulted in a pro-inflammatory response in the same mouse model of MASH. By contrast, Deczkowska et al.130 found that chemokine XC receptor 1 (XCR1)+ cDC1s drive liver pathology in mouse models of MASH. Genetic targeting of XCR1+ cells and pharmacological inhibition of its ligand, XCL1, improved liver damage in various mouse models of MASH. Further analysis of the relationship between cDC1s and CD8+ T cells revealed that, together, these cells promoted progression of MASLD to MASH in both mouse models and patients130. Importantly, cDC1–CD8+ T cell interactions are necessary for antigen presentation, T cell priming, and natural killer cell activation and therefore to mounting an antitumour response in MASH-associated HCC132. Indeed, lipid accumulation in dendritic cells in the context of MASH was shown to impair stimulation of allogeneic T cells and antigen-presenting cell functions133.
Similarly, neutrophils can exert either protumoural or antitumoural effects, depending on their maturation state134. Mature neutrophils are found in HCC, especially in the immunosuppressive state135, and are associated with worse prognosis, potentially due to their high expression of PDL1, inhibiting antitumour T cell effector function135. Neutrophils can also promote MASH development and MASH-associated HCC through the formation of neutrophil extracellular traps (NETs)136. In MASH livers, NETosis, a specialized form of cell death of neutrophils characterized by the release of NETs, promotes the establishment of a pro-tumorigenic environment137. Xia et al.138 demonstrated that NETs can activate quiescent HSCs via a Toll-like receptor 3 (TLR3)-dependent pathway, promoting fibrogenesis and increasing the risk for HCC development. Moreover, Wang et al.136 reported that NETs induce a TLR4-dependent differentiation of naive CD4+ T cells into Treg cells, potentially contributing to impaired immune surveillance and tumour progression. Conversely, in mouse models of MASH-associated HCC, the infiltration of immature and peripheral blood-like neutrophils enhances response rates to immune-checkpoint inhibitors (ICIs)139. Interestingly, infiltration of immature neutrophils can be promoted therapeutically by targeting CXCR2 in mouse models of MASH-associated HCC134,139.
Platelets have also been identified as an important initiator and maintaining factor of MASH and MASH-associated HCC140. In the MASH liver, platelets are activated by metabolism-associated molecular patterns (for example, hyaluronic acid) and release α-granules filled with pro-inflammatory cytokines, such as TNF, IL-6 and TGFβ, exacerbating hepatic inflammation and promoting activation of HSCs141,142, furthering liver damage, fibrosis and HCC development140,143. Additionally, activated platelets can secrete PDGFs, which promote the proliferation of fibroblasts and myofibroblasts, further enhancing the fibrotic response144. Because platelet aggregation in the injured liver leads to platelet activation and degranulation, increased platelet aggregation is associated with higher levels of fibrosis and inflammation — key drivers in SLD progression140. Anti-platelet therapy has therefore emerged as an approach to lower the risk for liver cancer development in patients with MASLD and MASH145; however, future studies are needed to ensure it can reduce platelet-derived inflammation without affecting platelet aggregation.
Adaptive immune cells.
Wolf et al.106 demonstrated that, in mouse models of MASH, activated CD8+ T cells and natural killer T cells secrete cytokines, such as LIGHT, that induce chronic activation of the NF-κB pathway within hepatocytes, subsequently leading to steatosis and MASH-to-HCC transition. Antibody-mediated depletion of CD8+ T cells can therefore halt progression to HCC by decreasing the non-alcoholic fatty liver disease (NAFLD) activity score (NAS)23,146. Disruption of mitochondrial function in intrahepatic CD4+ T lymphocytes with linoleic acid, a fatty acid that accumulates in these cells in MASH, causes excessive oxidative damage, triggering selective loss of this cell population147. Blocking ROS generation has been shown to reverse the MASH-induced decrease of hepatic CD4+ T lymphocytes and delay the onset of MASH-associated HCC in mouse models of MASH147. Additionally, T helper 17 (TH17) lymphocytes, a subset of IL-17A-secreting, CD4+ T cells, drove infiltration of neutrophils into white adipose tissue, triggering insulin resistance and MASH in mice96. MASH development and subsequent transition to HCC were diminished by pharmacological suppression of TH17 cell differentiation, IL-17A-blocking antibodies and genetic ablation of the IL-17A receptor in myeloid cells96.
In mouse models of MASH and MASH-associated HCC, CXCR6+ PD1hi CD8+ T cells accumulate in the liver23,139. These cells exhibit uncontrolled immune activation146 through excessive release of granzyme B and TNF. They also induce ATP-dependent FasL-mediated hepatocyte death, thereby exacerbating liver injury23,148. Moreover, IL-15 released by the altered hepatic metabolic microenvironment induces CD8+ T cell reprogramming by downregulating FOXO1, upregulating CXCR6, and increasing major histocompatibility complex (MHC) class I-independent cytotoxic activity of T cells through increased release of granzmye B and perforin. In mouse models of MASH-associated HCC, ICIs increase intrahepatic maintenance of CXCR6+ PD1hi CD8+ T cells and thus promote inflammation and hepatic damage23,148,149. Pfister et al.23 proposed that this subpopulation is also found in patients with MASH. In concordance with this, steatohepatitis impairs T cell-directed immunotherapies against secondary liver tumours in mouse models of colorectal liver metastasis and MASH150. Moreover, the presentation of MASH may limit a patient’s response to immunotherapy by increasing the number of exhausted and auto-aggressive CXCR6+ PD1hi CD8+ T cells, which preferentially target and damage hepatocytes and inflamed liver tissue instead of mounting effective antitumour immune responses149,151,152. However, it remains unknown whether the number of tumour-infiltrating CXCR6+ PD1hi CD8+ T cells can serve as a predictive biomarker for immunotherapy response and patient stratification in MASH-associated HCC.
While less is known about B cells in MASH and MASH-associated HCC, in the jejunal mucosa, B cells were found to activate CD8+ T cells, which subsequently translocate to the liver, supporting liver inflammation in mouse models of MASH29. B cells have also been shown to secrete antibodies, primarily IgA, that form immune complexes and engage Fc receptor-expressing (FcR+) myeloid cells, including macrophages and neutrophils. This interaction promotes sustained activation of these cells, leading to the release of pro-inflammatory cytokines, chemokines, ROS and profibrotic mediators such as TGFβ and PDGFR. These factors amplify hepatocellular injury, activate HSCs and drive ECM deposition, thereby exacerbating MASH-associated fibrosis and creating a tumour-promoting inflammatory microenvironment29. However, further work is needed to evaluate the role of B cells in established MASH-associated HCC as well as whether and how they might be targeted in a therapeutic context.
Non-parenchymal HSCs.
Beyond immune cells, non-parenchymal liver cells like HSCs also have crucial roles in the progression of inflammation, fibrosis and HCC development in MASH. Under conditions of chronic liver inflammation, HSCs become activated, driving fibrogenesis153,154. As reviewed recently, HSCs contribute to disease progression by promoting angiogenesis and modulating hepatic inflammation155. Activated HSCs secrete pro-inflammatory cytokines and chemokines, such as CCL2 and IL-6, which recruit and sustain inflammatory immune cells, particularly monocytes and macrophages113. Through reciprocal crosstalk with immune cells and persistent activation by a stiffening ECM, HSCs function as amplifiers that couple chronic inflammation to fibrogenesis and disease progression.
ASH and ASH-associated HCC
The immune microenvironment in the context of the ASH-to-HCC transition is less well understood (Fig. 2b). Chronic alcohol abuse can impair the antitumour immune response in the liver and thereby promote HCC development and progression89. The population of hepatic immune cells is qualitatively and quantitatively altered depending on the different stages of ASH82. It is likely that the amount of alcohol consumption and the chronicity of liver damage proportionally imprint a systemic immunosuppressive character to promote cancer93.
The ASH liver is enriched in immunosuppressive cells, such as myeloid-derived suppressor cells and Treg cells51,62, and antigen presentation is downregulated in macrophages53, reducing antigen-specific CD8+ T cell proliferation and activation62. Single-cell analysis comparing healthy livers to livers with viral-related and ASH-related cirrhosis revealed an increase of monocytes and macrophages, most likely resembling Kupffer cells, and a decrease in infiltrating CD3+ T cells in the liver of patients with ASH-related cirrhosis156. A more recent analysis comparing livers from healthy individuals, patients with ASH and patients with MASH similarly identified an enrichment of a metabolically active APOE+ macrophage population with Kupffer cell-like characteristics in patients with ASH157. This observation suggests that, despite differing upstream insults, steatotic liver diseases converge on shared macrophage adaptation programmes driven by metabolic stress. The presence of APOE+ Kupffer cell-like macrophages in ASH indicates a compensatory response aimed at lipid handling and tissue homeostasis. However, sustained activation of this metabolically specialized macrophage state may become maladaptive, promoting chronic inflammation and disease progression. Moreover, neutrophils are also likely to contribute to ASH pathogenesis; a recent retrospective analysis demonstrated that binge drinking induces NETosis in the liver, promoting tissue damage, inflammation and, thus, cancer158.
The initiation of alcohol-driven steatosis is characterized by an overall increase in neutrophil and macrophage infiltration and activation in the liver90. Concomitantly, the progression of MASH is accompanied by a selective enrichment of CD4+ T cells, CD8+ T cells and innate immune cells, including natural killer cells and dendritic cells91,92. Alongside enhanced infiltration, chronic alcohol consumption also leads to a disruption of natural killer cell function, reducing natural killer cell-induced clearance of activated HSCs, particularly in the setting of cirrhosis94.
Intriguingly, in the context of ASH, a population of cytotoxic granzyme K (GZMK)+ CD4+ T cells was identified as a possible disease-specific driver subset associated with hepatic fibrosis95 and was related to impaired immunosurveillance and HCC progression96,97. Further, the involvement of effector CD4+ T cells (TH1, TH2 and TH17) in the context of ASH has been shown, where they orchestrate hepatic inflammation and tissue remodelling82. TH1 cells promote macrophage activation and cytotoxic immune responses through the production of IFNγ and TNF, while TH2 cells contribute to fibrogenesis by inducing alternative macrophage polarization and stimulating HSCs via IL-4 and IL-13. Together, these subsets sustain immune-mediated hepatocellular injury, promote fibrotic progression and shape a microenvironment conducive to disease advancement. Nevertheless, it remains to be elucidated whether these cell populations can be therapeutically targeted to halt disease progression and prevent HCC development.
Chronic alcohol use may further increase liver damage and tumorigenesis by activating IL-17 secretion in the liver and inducing its cognate receptor in hepatocytes. IL-17 activates HSCs, promoting fibrosis and HCC development100, and regulates key inflammatory responses in macrophages and myeloid cells as well as cholesterol biosynthesis in hepatocytes through activation of the caspase 2–SP1–SREBP1–SREBP2–DHCR7 pathway99. Blocking IL-17 signalling is being explored for the treatment of ASH and may have potential for reducing future risk of HCC.
Inter-organ crosstalk in MASH and ASH
The role of the adipose tissue–liver axis
Like the liver, adipose tissue is an organ that has a key role in regulating metabolic and energetic homeostasis. Therefore, communication between these compartments is bidirectional and occurs under physiological and pathological conditions159. Conditions such as obesity, insulin resistance and systemic inflammation negatively affect the capacity of adipocytes to store free fatty acids (FFAs) through impairment of their endocrine functions and repression of PPARγ, preventing transcription of genes involved in triglyceride synthesis160,161. Correspondingly, adipose tissue lipolysis leads to hepatic lipid accumulation and progression of inflammation in MASH and ASH. FFAs, like non-esterified fatty acids, released from adipose tissue trigger several biological responses within the liver, including lipotoxicity, oxidative stress, recruitment of Kupffer cells and HSC activation, ultimately creating an environment permissive to oncogenesis162. Suppression of lipolysis in adipose tissue through inhibition of vascular endothelial growth factor B (VEGFB) signalling was reported to halt MASLD progression in mice and correlates with reduced hepatic steatosis in patients with MASLD163. In this context, VEGFB signalling may alter lipid availability, insulin sensitivity or local metabolic cues that secondarily suppress HSC activation. Furthermore, in mouse models of MASH, IL-17A secretion was shown to accelerate MASH-to-HCC transition by inducing lipolysis in white adipose tissue, consequently increasing systemic FFAs96. Additionally, Boesch et al.164 identified transcriptionally dysfunctional macrophages within white adipose tissue in patients with MASLD, which further promote adipose tissue inflammation and downstream liver inflammation.
Clinical observational studies indicate that the visceral adipose tissue index, defined as a cross-sectional area of adipose tissue by computed tomography normalized to height, is an independent risk factor for developing HCC in patients with liver cirrhosis and patients with MASH as well as for recurrence of HCC after liver transplantation165,166. Increased adiposity and visceral fat are also high-risk factors for developing HCC in patients with MASH or ASH167. Moreover, adipose tissue depots secrete and release a wide range of adipokines that are not only necessary for the regulation of systemic energetic homeostasis but also tightly orchestrate the hepatic immune microenvironment159. Among these, SPARCL1 was identified as an adipose tissue-derived secreted glycoprotein in a mouse model of MASH, promoting hepatic inflammation by inducing expression of CCL2 in hepatocytes168. Furthermore, circulating adiponectin correlated positively with HCC incidence in patients with MASLD169. It was recently shown that adipocyte-specific loss of SWELL1 results in excessive lipolysis, exacerbation of MASLD and the development of HCC in mouse models of MASH170. Conversely, the adipocyte-derived endocrine factor neuregulin 4 (NRG4) ameliorated metabolic reprogramming and restrained tumour burden and progression in MASH115. However, the molecular mechanisms underlying the protective effects of NRG4 remain to be elucidated. These data suggest that the accumulation of visceral adipose tissue and the metabolic alteration of its functionality contribute to the MASH-to-HCC progression.
It is not yet entirely understood how ethanol affects adipose tissue depots in ASH and how this may contribute to liver cancer development. In a mouse model of binge drinking that was fed a high-fat diet, consumption of alcohol in high concentrations directly induced adipocyte death and lipolysis, resulting in aggravation of liver injury and hepatic endoplasmic reticulum stress171. However, whether alcohol-induced adipocyte death and lipolysis also affect ASH-to-HCC transition remains unknown.
The gut–liver axis
Obesity and alcohol consumption have both been shown to change gut microbial composition and function172,173. Gut microbial dysbiosis and the associated metabolic output, including short-chain fatty acids, such as acetate, butyrate, formate and propionate, secondary bile acids, and other bacteria-specific metabolites, are increasingly recognized as determinants of the immune microenvironment of MASH and MASH-associated HCC174. Interestingly, transplantation of faeces from high-fat and high-cholesterol diet-fed mice into germ-free mice was sufficient alone to induce MASLD and eventually promote tumorigenesis175. Concurrently, MASH progression is associated with the leakage of bacterial products (pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns) and metabolites from the gut into the portal circulation and, thus, the liver176–179. Translocation of PAMPs, such as serum lipopolysaccharides, was shown to contribute to tumour progression by activating liver-intrinsic macrophages in a TLR-dependent manner180.
Secondary bile acids, gut-derived metabolites whose composition is influenced by the microbiome, are known to have a causal role in promoting carcinogenesis in both MASH-associated and ASH-associated HCC70,181,182. In mouse models of HCC without MASH, Ma et al.183 found that the ratio of primary-to-secondary bile acids is highly dependent on the gut microbiome composition. Further, they could show that microbiome-mediated metabolism of bile acids can induce CXCL16 secretion by liver sinusoidal endothelial cells. Subsequently, CXCL16 dampens natural killer T cell-mediated antitumour response183. Moreover, in a high-fat diet-fed mouse model of MASLD, deoxycholic acid, a secondary bile acid, was shown to drive liver cancer formation through induction of the senescence-associated secretory phenotype in HSCs and subsequent fibrosis182.
Yang et al.184 reported that damage-associated molecular patterns or PAMPs, such as 2-oleoglycerol, a bacterial metabolite, act as a key mediator of Western diet-induced MASH through macrophage-dependent activation of HSCs. Mechanistically, 2-oxoglutarate activates hepatic macrophages through GPR119-dependent signalling, leading to TAK1 phosphorylation and activation of NF-κB. This cascade induces the expression of pro-inflammatory mediators and reinforces an activated macrophage phenotype. However, bacterial metabolites can also exert protective effects against MASH-associated HCC pathogenesis. For example, acetate produced by Bifidobacterium pseudolongum was shown to reach the liver via the portal circulation and suppress tumour formation by inhibiting the IL-6–JAK1–STAT3 signalling axis in two mouse models of MASH-associated HCC185. Moreover, gut-to-liver bacterial translocation and intratumoural microbiota are increasingly recognized as having a role in disease progression186. Recently, Wang et al.187 demonstrated that translocation of Klebsiella pneumoniae from the gut to the liver promotes HCC proliferation through TLR4 activation by the bacterial surface protein PBP1B. However, the full spectrum of mechanisms linking microbial gut-to-liver translocation to liver tumorigenesis has yet to be defined.
Alcohol intake can also directly affect the viability of cells lining the intestine, namely enterocytes, the function of the intestinal barrier, and the biodiversity of the microbiome188. The disruption of the intestinal barrier through alcohol-induced enterocyte damage promotes translocation of bacteria and bacterial components and establishes an inflammatory liver microenvironment6,82,149,189. This results in the recruitment and activation of neutrophils, pro-inflammatory macrophages and Kupffer cells, which produce ROS, leading to an exacerbation of DNA damage and promoting lipogenesis and steatosis in hepatocytes through acetaldehyde in ASH82,190–192. Moreover, gut-derived lipopolysaccharides were increased in patients with ASH-associated HCC as compared to patients who do not drink alcohol193. Notably, compositional changes in the microbiome in the context of patients with obesity and MASH have also been shown to lead to the production and systemic release of endogenous ethanol, adding another layer of complexity within the gut–liver communication194,195. Interestingly, ethanol can be endogenously produced as a normal, low-level byproduct of microbial fermentation of dietary carbohydrates by intestinal bacteria and yeasts, and under healthy conditions, it is efficiently metabolized by intestinal and hepatic alcohol dehydrogenases, resulting in minimal systemic exposure196. However, in obesity and MASLD, overrepresentation of ethanol-producing microorganisms (including certain Enterobacteriaceae and yeasts), increased substrate availability, and impaired intestinal barrier function can markedly elevate luminal ethanol concentrations and promote its translocation into the portal circulation197,198. This phenomenon has been demonstrated primarily in animal models and supported by human observational studies, in which obesity-associated or MASLD-associated microbiomes produced higher ethanol levels ex vivo and were associated with detectable circulating ethanol in the absence of alcohol consumption194,195. These findings emphasize the role of bacterial metabolites in shaping hepatic immunity, with implications also extending to a role in cancer199,200.
The brain–liver and heart–liver axes
In addition to well-established inter-organ communication between the liver and the gut or adipose tissue, recent studies have suggested the possibility of other crosstalk mechanisms that contribute to MASH progression. Interestingly, a brain–adipose–liver axis in the context of ALD may exist. Shen et al.201 illustrated that alcohol could activate the hypothalamus and sympathetic nerves innervating brown adipose tissue and increase the expression and activity of UCP1 in mice; this induced thermogenesis and thus inhibited fatty acid accumulation in the liver. Moreover, alcohol increased the activity of sympathetic nerves through insulin resistance in the central nervous system, resulting in unrestrained adipose tissue lipolysis responsible for hepatic steatosis in rodent models of ethanol consumption202. However, further studies are needed to determine the role of the brain–adipose–liver axis in ALD-to-HCC transition.
Xie et al.203 demonstrated that cardiovascular disease, particularly myocardial infarction, can promote the recruitment of Ly6Chi monocytes into the liver and steatosis, fostering a pro-inflammatory microenvironment and promoting progression of MASLD to MASH. Simultaneously, elevated levels of cardiac periostin, a secreted ECM protein, following myocardial infarction drives hepatic fibrosis by activating HSCs through integrin β3, exacerbating steatosis by suppressing PPAR signalling203. These findings underscore the multifaceted systemic mechanisms that contribute to and underlie the development of SLDs as well as the necessity to study SLDs as systemic conditions.
Clinical management of HCC in patients with MASH and ASH
The clinical management of MASH-associated and ASH-associated HCC remains a major challenge as they are frequently diagnosed in advanced stages and are refractory to many standard anticancer treatments17,55. Moreover, liver cell damage and liver dysfunction narrow the therapeutic window for treatment interventions and enhance the risk for treatment-associated complications as the regenerative capacity of the liver is limited and cannot recompensate for the loss of liver tissue (for example, through surgical resection)204,205. Therefore, expanding our understanding of the mechanisms involved in MASH-associated and ASH-associated development and progression represent important unmet needs for the development of novel prophylactic and therapeutic interventions.
Preventing MASH-to-HCC and ASH-to-HCC transition
In addition to reducing or halting the progression of steatosis, inflammation and fibrosis, the prevention of hepatocarcinogenesis represents an important challenge in MASH and ASH. The complex interplay of metabolic dysregulation, inflammation and fibrosis in MASH progression has driven efforts to develop therapies aimed at regulating these pathways. These include PPAR agonists, FXR agonists, glucagon-like peptide 1 receptor agonists (GLP1RAs), sodium–glucose cotransporter 2 (SGLT2) inhibitors and thyroid hormone receptor-β (THRβ) agonists, which have shown promising results in reducing liver fat and markers of fibrosis in clinical trials of patients with MASH206. However, the mechanism of action and influence on disease pathophysiology are distinct. PPAR agonists, such as pioglitazone and lanifibranor, improve insulin resistance, lipid metabolism and hepatic inflammation while reducing fibrosis by limiting the activation of quiescent HSCs207. FXR agonists, including obeticholic acid, regulate bile acid metabolism, decrease lipotoxicity primarily by limiting hepatic lipid accumulation rather than by directly promoting lipid breakdown, and suppress fibrosis by inhibiting HSC activation74. GLP1RAs, such as semaglutide and liraglutide, lead to weight loss and thus improve systemic metabolism, and reduce hepatic steatosis by enhancing insulin sensitivity and lowering systemic inflammation208. SGLT2 inhibitors, such as empagliflozin and dapagliflozin, are primarily used for type 2 diabetes but have also demonstrated benefits in reducing hepatic fat content and improving systemic metabolism in mouse models of and in patients with MASH209. Resmetirom selectively targets THRβ in the liver, therefore avoiding systemic hormone effects, to reduce steatosis and lipid accumulation210. It is the first FDA-approved drug for the treatment of MASH.
Furthermore, for ASH-associated HCC, therapies aimed at reducing inflammation, oxidative stress and fibrosis may slow disease progression. PPAR agonists, FXR agonists and THRβ agonists may mitigate liver damage in ASH by addressing pathways that are also involved in MASH pathophysiology. However, the direct hepatotoxic effects of ethanol and its metabolites, including acetaldehyde, may limit the efficacy of treatments such as PPAR agonists, FXR agonists, THRβ agonists and GLP1RAs, as these drugs do not target ethanol-induced liver damage. Importantly, it remains to be elucidated if the improvement in steatosis, inflammation and fibrosis outcomes induced by the abovementioned therapeutic agents in patients with SLD will also translate into a lower risk for the development of liver cancer.
Lifestyle interventions are another approach for treating MASH-associated and ASH-associated HCC (Box 2). In both mouse models of MASH and clinical trials, caloric restriction could lower inflammation and fibrosis and prevent transition to HCC211. Identifying the molecular mechanisms of how lifestyle interventions, such as dietary restriction, intermittent fasting or physical activity, prevent progression of SLDs is of increasing importance. This may also allow the development of therapeutic mimetics that induce the beneficial effects of these interventions.
Box 2 | Lifestyle interventions to prevent and treat SLD-associated HCC.
Lifestyle interventions, such as dietary changes, increasing physical activity and attenuating alcohol intake, have pivotal roles in modifying metabolic reprogramming and improving clinical outcomes in steatotic liver diseases (SLDs) and SLD-associated hepatocellular carcinoma (HCC)293. Lifestyle interventions that induce weight loss, such as intermittent fasting, caloric restriction and increased physical activity, help correct metabolic imbalances that drive chronic liver inflammation and fibrosis294 by improving insulin sensitivity, reducing hepatic fat content, and attenuating lipotoxicity and oxidative stress295. Weight loss exceeding 7–10% of an individual’s body weight can reduce liver inflammation and fibrosis in earlier stages of the disease295. Caloric restriction and physical activity can induce the expression and release of adipokines such as adiponectin and leptin296. Adiponectin levels, which are typically reduced in patients with metabolic dysfunction-associated steatohepatitis (MASH), increase with lifestyle changes, exerting anti-inflammatory and anti-fibrotic effects via the AMP-activated protein kinase (AMPK) pathway297. Emerging data suggest that intermittent fasting enhances autophagy, which prevents tumour initiation by mitigating oxidative stress and inflammation in mouse models of and patients with MASH298. In this regard, intermittent fasting, for example, the 5:2 regimen, where patients fast on two non-consecutive days per week, can prevent MASH progression and MASH-to-HCC transition through the activation of peroxisome proliferator-activated receptors (PPARs) and PCK1, as shown in diet-based mouse models of MASH and MASH-associated HCC211. First clinical trials have demonstrated efficacy of intermittent fasting for the treatment of metabolic dysfunction-associated SLD (MASLD), halting worsening of steatosis, inflammation and fibrosis299.
Partaking in physical activity was shown to enhance mitochondrial function and reduce oxidative stress by upregulating genes involved in mitochondrial biogenesis, such as peroxisome proliferator-activated receptor-γ coactivator 1α (PGC1α) in mouse models of MASLD300. Exercise also improves systemic inflammation by decreasing pro-inflammatory cytokines like tumour necrosis factor (TNF) and IL-6 in mouse models of MASLD301. However, the type and regimen of physical activity most suitable to block MASH-to-HCC transition and to treat MASH-associated HCC remains unknown. Further research is needed to uncover how exercise influences metabolic reprogramming, antitumour immune surveillance and immunotherapy efficacy in the context of MASH and MASH-associated HCC.
In the case of alcohol-associated steatohepatitis (ASH), cessation of alcohol intake is a cornerstone of therapy, directly preventing alcohol-induced hepatoxicity302. Alcohol abstinence reduces cytochrome p450 2E1 (CYP2E1) activity, decreasing reactive oxygen species production and oxidative damage303. Over time, abstinence also dampens TGFβ signalling in the liver, slowing fibrosis progression and allowing the liver to regenerate. Further lifestyle interventions in patients with ASH-associated HCC focus on mitigating the metabolic dysfunction that often accompanies ASH. Incorporating a balanced diet and exercise can improve systemic metabolic health, further reducing HCC risk. In patients with ASH, it has been shown that, even in advanced disease stages, alcohol abstinence and lifestyle improvements can extend survival by limiting ongoing disease progression304.
Early diagnosis and biomarkers for HCC detection in MASH and ASH
Several cohort studies support the value of HCC surveillance as it is associated with better access to curative treatments, in turn improving overall survival212–214. Better screening tools and surveillance methods are needed to identify patients with MASH-related or ASH-related cirrhosis as well as those with earlier-stage disease at high risk of developing HCC.
Currently, HCC surveillance is based on ultrasound; however, the accuracy is hampered by excessive body weight, moderate-to-severe fatty liver and fibrosis214, limiting its effective use in patients with SLDs215. While MRI exhibits high accuracy for detecting HCC, it is not feasible as a diagnostic tool due to its high cost and poor patient compliance. To solve this, abbreviated MRI, either contrast-enhanced or non-contrast, has shown high sensitivity for detecting HCC lesions below 2 cm in diameter in a meta-analysis of 917 patients with HCC216,217. Its performance was comparable across aetiologies and fibrotic scores of chronic liver disease. However, concerns regarding the potential nephrotoxicity associated with repeated administration of contrast agents may limit its feasibility as a surveillance strategy.
Additionally, biomarker analysis and alternative screening strategies, such as liquid biopsies, are under consideration for HCC surveillance. Concomitant evaluation of α-fetoproetin (AFP) is recommended for surveillance purposes (not diagnosis) over ultrasonography alone by the American Association for the Study of Liver Disease and the Asian Pacific Association for the Study of the Liver but not by the European Association for the Study of the Liver218–220. Additionally, the GALAD score, which incorporates gender, age, AFP-L3 (a glycoform of AFP with a high affinity for Lens culinaris agglutinin), AFP and Des-γ-carboxy prothrombin (an isoform of AFP with defective post-translational carboxylation produced in HCC), has shown excellent performance in predicting HCC prevalence regardless of stage221–223. It is also effective in patients with non-cirrhotic MASH224, and exhibits high sensitivity and specificity as well as better area under the receiver operating characteristic curve (AUROC) than ultrasound225,226. The GALAD score improves the sensitivity for HCC detection but with modest specificity in a phase III clinical trial225. Analysis of cell-free DNA also showed greater sensitivity and specificity than ultrasound in detecting early and very-early HCC in patients with SLDs227. Similarly, methylome analyses of cell-free DNA may also be used in the future as non-invasive tools for HCC surveillance, displaying increased AUROC compared to AFP evaluation or the GALAD score228–231. Moreover, transcriptomic analysis of the RNA of circulating peripheral blood-derived extracellular vesicles represents an additional non-invasive approach for HCC surveillance232,233. However, none of these methods has yet reached phase III trials. Finally, the emergence of artificial intelligence-based surveillance tools for liver cancer has shown promising results in the context of MASH and ASH234. Artificial intelligence-based approaches have been shown to outperform traditional regression models associated with HCC surveillance235. Imaging-based artificial intelligence enhances ultrasound or MRI performance by improving lesion detection and reducing operator dependence, which is particularly relevant in patients with obesity and MASH234,235. In parallel, artificial intelligence-driven liquid biopsy models combine cell-free DNA, epigenetic markers and serum proteins to support early tumour detection when imaging is suboptimal.
The treatment of MASH-related and ASH-related HCC
Treatment decisions for HCC are guided by the Barcelona Clinic Liver Cancer staging system, which is the framework recommended by most international guidelines218,219,236. Curative approaches (resection, liver transplantation and local ablation) are available for patients with early-stage HCC237, although patients with MASH-associated HCC are at risk for treatment-related complications due to the high likelihood of having comorbidities. However, among patients who are eligible for and successfully undergo curative treatment, meta-analyses have shown that those with MASH-associated HCC have equal or superior overall and recurrence-free survival compared with patients with HCC arising from viral hepatitis or ASH17. In this context, adjuvant and neoadjuvant immunotherapies are being explored to reduce recurrence rates as 70% of patients with HCC develop disease recurrence at 5 years238.
Patients with intermediate-stage HCC are candidates for locoregional therapies such as transarterial chemoembolization (TACE) and transarterial radioembolization (TARE)239. Clinical trials are now assessing the efficacy of systemic therapies, such as ICIs, in combination with locoregional therapies compared with locoregional therapies alone240. The results of a recent phase III trial demonstrated a better progression-free survival for patients treated with TACE in combination with ICIs241. In patients with intermediate-stage HCC, TACE and TARE can allow downstaging of the tumours and subsequent curative strategies218. Moreover, in patients with MASH-associated HCC, outcomes after TACE and TARE, including time-to-progression, overall survival and treatment-related adverse events, have been reported to be comparable to those observed in patients with HCC arising from chronic viral hepatitis17,242,243.
Patients with advanced-stage HCC and with contraindications for locoregional therapies are eligible for systemic therapy. The standard-of-care first-line systemic therapy for patients with HCC is administered irrespective of the underlying aetiology and consists of the combination of an ICI, such as the anti-PDL1 antibody atezolizumab, with tyrosine kinase inhibitors such as the anti-VEGFA antibody bevacizumab244. Other approved ICIs target the immune-checkpoint molecules CTLA4 (tremelimumab) or PD1 (nivolumab, ipilimumab)244–246 (Fig. 3a). In patients with contraindications for immunotherapies, either multi-kinase inhibitors such as sorafenib247, or VEGFR and fibroblast growth factor receptor (FGFR) inhibitors, such as lenvatinib, are approved for use248 (Fig. 4a,b). Additional combinations of other ICIs are under evaluation237, as is the use of bispecific antibodies that target multiple immune-checkpoint molecules simultaneously249–253 (Fig. 3a,b). Preclinical studies and retrospective patient analyses suggest that immunotherapies may be less effective in non-viral HCC, particularly in ASH-associated or MASH-associated tumours, compared with viral hepatitis-related HCC17,254,255. Although some clinical datasets show a trend towards higher immunotherapy response rates in viral aetiologies, these differences have not reached statistical significance and therefore remain inconclusive256. Notably, the impact of underlying MASH on immunotherapy efficacy has not been prospectively evaluated as no clinical trial to date has stratified patients by aetiology30,149. Importantly, it remains unclear whether anti-metabolic drugs that block MASH pathogenesis and progression could be useful in treating established MASH-associated HCC (Fig. 4b). It is likely that these therapies could alter tumour cell phenotypes and the antitumour immune response through the activation of glycolysis, autophagy and fatty acid oxidation. For example, the antidiabetic medication metformin has been shown to rescue the efficacy of anti-PD1 therapy in mouse models of liver cancer by restoring CD8+ T cell motility and immunometabolism, improving antitumour responses23,146,257,258. Furthermore, establishing the use of predictive biomarkers may improve response rates. While tumour mutational burden has been proposed as a biomarker for ICI efficacy in other tumour types259–264, the low median tumour mutational burden in MASH-associated or ASH-associated HCC limits its use as a predictive biomarker265.
Fig. 3 |. Mechanisms of action of current and emerging systemic treatment interventions for hepatocellular carcinoma.
a, Blockade of inhibitory checkpoint molecules on T cells can restore their activation and cytotoxic activity. Antibodies against CTLA4 can enhance priming by antigen-presenting cells (APCs). PDL1 interacts with CD80 on APCs, further contributing to immune evasion. Blocking PD1 or PDL1 prevents these inhibitor interactions, restoring T cell effector function and promoting antitumour immunity. Additional inhibitory axes, including TIM3 and LAG3, can be targeted with antibodies such as cobolimab and relatlimab. Inhibition of TIM3 and LAG3 together restores dysfunctional T cell responses by relieving complementary inhibitory pathways, with LAG3 blockade enhancing antigen-driven T cell activation through disruption of the LAG3–major histocompatibility complex (MHC) class II interaction and TIM3 blockade reversing late-stage T cell exhaustion by preventing inhibitory TIM3–Galectin 9 (Gal9) signalling, thereby enabling stronger and more sustained immune effector function. b, Targeting the innate immune cells can overcome tumour-driven immunosuppression and restore effective antitumour activity. Regulatory T (Treg) cells express glycoprotein-A repetitions predominant (GARP), which anchors latent TGFβ on their surface and is the source of active TGFβ upon activation. Antibodies such as livmoniplimab block the GARP–TGFβ1 complex, preventing activation of latent TGFβ. Without active TGFβ, TGFβ signalling in effector T cells is reduced. Normally, active TGFβ signalling suppresses T cell activation by inducing SMAD-mediated transcription and antagonizing nuclear factor of activated T cells (NFAT)-driven pathways, thereby reinforcing Treg cell-mediated inhibition of CD8+ T cell cytotoxicity. Antibodies targeting C-X-C chemokine receptor type 2 (CXCR2) on neutrophils prevent their recruitment into the tumour microenvironment, reducing secretion of immunosuppressive factors that induce T cell exhaustion. Targeting triggering receptor expressed on myeloid cells 2 (TREM2) and CD163 on tumour-associated macrophages promotes a shift from M2 to M1 polarization and reduces secretion of immunosuppressive IL-10 and TGFβ, restoring CD8+ T cell activation and cytotoxic function. Bispecific antibodies targeting CD16 on natural killer (NK) cells and glypican 3 (GPC3) on malignant hepatocytes redirect NK cell cytotoxicity towards tumour cells, leading to enhanced antibody-dependent cellular cytotoxicity (ADCC) and tumour cell apoptosis. c, Engineered cell-based treatments directly mediate tumour cell killing. Chimeric antigen receptor (CAR) T cells can be engineered to target cell-surface antigens on hepatocellular carcinoma such as GPC3 and claudin 6 (CLDN6). T cell receptor (TCR)-transduced T cells recognize intracellular tumour antigens presented on MHC molecules, such as α-fetoprotein (AFP), leading to tumour cell death. This leads to perforin-mediated and granzyme-mediated lysis or enhanced antigen presentation. Expansion of tumour-infiltrating lymphocytes (TILs) can also enrich for tumour-reactive T cells. Bispecific CAR T constructs can also be used to recruit accessory immune cells to further amplify cytotoxic responses. NF-κB, nuclear factor κB; PIP3, phosphatidylinositol (3,4,5)-trisphosphate; ROS, reactive oxygen species.
Fig. 4 |. Emerging tumour-directed therapeutic approaches for the treatment of hepatocellular carcinoma.

a, Vascular endothelial growth factor (VEGF) signalling is critical for inducing angiogenesis in endothelial cells and promoting cancer cell proliferation and survival through autocrine signalling. Therapeutic strategies target this axis to disrupt tumour vascularization and growth. Antibodies targeting VEGF ligand (VEGFA) and those blocking the VEGF receptor (VEGFR) directly prevent activation of downstream PI3K–AKT and PLCγ–PKC pathways and inhibit angiogenesis. Multi-kinase inhibitors, such as sorafenib, cabozantinib, lenvatinib and regorafenib, target oncogenic receptor tyrosine kinases to block signalling cascades critical for hepatocellular carcinoma progression. Of note, sorafenib and regorafenib additionally inhibit RAF kinase, directly suppressing downstream signalling. b, Microbiome-modulating interventions, such as probiotics and faecal microbial transplantation (FMT), can be used to reshape both systemic and tumour immunity, ultimately influencing treatment efficacy. Oncolytic viruses can induce direct tumour cell lysis while promoting antigen release to stimulate antitumour immunity. Antibody–drug conjugates (ADCs), such as glypican 3 (GPC3)–DM1 or claudin 6 (CLDN6)–DM1, can deliver cytotoxic payloads to tumour cells, triggering cell death. Proteolysis-targeting chimeras (PROTACs) can degrade oncogenic proteins by recruiting E3 ligases for targeted degradation. DC, dendritic cell; FGFR, fibroblast growth factor receptor; PDGFR, platelet-derived growth factor receptor; SCFAs, short-chain fatty acids; TME, tumour microenvironment; Ub, ubiquitination.
Alternative therapies, such as adoptive cell transfer266,267, chimeric antigen receptor (CAR) T cells or bispecific antibodies268, are also being tested against specific antigens, such as glypican 3 (GPC3)269–271 or AFP257, in HCC (Fig. 3c). The success of cell-based approaches has been hindered by the microenvironment of the liver as it is immunosuppressive and exhibits a metabolic shift that is detrimental for T cell functionality149. Consequently, CAR T cells used in mouse models of HCC have been modified to preserve glycolytic metabolism to sustain effector activity within the microenvironment272. However, the clinical efficacy of this approach demands further evaluation. Moreover, vascular normalization, induced by antiangiogenic therapies, such as monoclonal antibodies targeting VEGFA, may enhance the ability of endogenous T cells as well as CAR T cells to infiltrate the HCC microenvironment. Additionally, based on the specific immune infiltrate described above for ASH and MASH livers, therapeutic approaches that block protumoural macrophages (for example, TREM2+ or CD163+ macrophages), or that reduce mature neutrophil infiltration or skew neutrophils to peripheral blood and/or immature phenotypes139 are also promising strategies to propel antitumour immune responses (Fig. 3b). Similarly, vaccine-based therapies in HCC have shown induction of immune responses against neoantigens273,274. Whether this holds true for all HCC aetiologies, including MASH and ASH, remains to be investigated. In line with this, mRNA-loaded dendritic cell vaccines are providing promising results in phase I clinical trials of patients245–247,273. Peng et al.275 demonstrated, in a phase I trial, that a personalized neoantigen-loaded dendritic cell vaccine in combination with a neoantigen-activated T cell therapy can be safely administered to patients with HCC across all aetiologies and induce neoantigen-specific T cell responses. A DNA-based vaccine encompassing personalized neoantigen sequences in combination with anti-PD1 therapy (pembrolizumab) reached higher objective response rates than pivotal trials with anti-PD1 therapies in advanced HCC276. Hence, vaccine-based approaches remain appealing to ensure immune targeting of malignant cells and remnant micrometastasis after surgical resection. However, it remains elusive whether vaccine-based approaches induce differential response rates in patients with HCC with different underlying aetiologies. Regulating the gut microbiota represents another potential therapeutic avenue for treating MASH-associated and ASH-associated HCCs277–280 (Fig. 4c). These approaches include the depletion of pathogenic microbiota with antibiotic treatment agents73,281 and enrichment of bacteria that execute probiotic effects281.
Conclusions and future directions
It is expected that the incidence of SLD-associated liver cancers will steadily increase over the next three decades, emphasizing the need to better understand the molecular and cellular mechanisms of pathogenesis and treatment response282. While earlier stages of MASH and ASH have been extensively studied, investigating the mechanisms that drive fibrosis and hepatocarcinogenesis remains essential to reduci the risk of HCC development in these patients.
Dissecting disease-specific molecular patterns with the advent of novel technologies in the field of single-cell and spatial transcriptomics, proteomics, epigenomics and metabolomics, may reveal novel therapeutic targets or prediction markers for HCC development and therapy response tailored by the underlying liver disease. In this context, artificial intelligence-based analyses hold great promise for discovering novel molecular patterns through analysis of large and complex datasets composed of multi-dimensional data from patients with SLD-associated HCC. Prospective clinical trials with patient stratification based on the underlying liver disease will be necessary to better understand how specific aetiologies might impact immunotherapy efficacy. Preclinical studies using aetiology-specific in vivo models for HCC will further help to investigate whether disease-specific mechanisms of antitumour immune response exist and how to address them therapeutically. Moreover, while anti-metabolic drugs and lifestyle interventions, such as caloric restriction or exercise, have been shown to halt disease progression in MASH35,283, the effect of these therapeutic approaches in the context of established MASH-associated and ASH-associated HCC represents a critical next step in the field.
The next phase of research in SLD-associated HCC must move decisively towards aetiology-aware biology. Integrating mechanistic studies, advanced multi-omics, refined preclinical models and clinically annotated patient cohorts will be critical to disentangling shared versus disease-specific drivers of hepatocarcinogenesis. Such efforts will ultimately enable more precise prevention strategies and improve therapeutic efficacy across the full spectrum of SLDs.
Acknowledgements
M.R. was supported by the Hector Stiftung (INTOHEP), Dieter Morszeck Stiftung, the GEROK stipend in the SFB 1479 project ID 441891347 and ExploreTech/ ET_3_2023 by the Health + Life Science Alliance Heidelberg Mannheim. M.H. was supported by, SFBTR179 project ID 272983813, SFB/TR 209 project ID 314905040, SFBTR1335 project ID 360372040, SFB 1479 project ID 441891347), the Wilhelm Sander-Stiftung, the Rainer Hoenig Stiftung, an ERC Synergy grant “Hepamodulator”, Research Foundation Flanders (FWO) under grant 30826052 (EOS Convention MODEL-IDI), a DKTK grant, Deutsche Krebshilfe projects 70113166 and 70113167, German-Israeli Cooperation in Cancer Research (DKFZ-MOST) and the Helmholtz-Gemeinschaft, Zukunftsthema ‘Immunology and Inflammation’ (ZT-0027). M.H. was also supported by seed funding from HI-TRON and Horizon Europe-Mission Cancer, THRIVE, Ref. 101136622. M.H. was supported by Cluster of Excellence iFIT (EXC 2180) “Image-Guided and Functionally Instructed Tumor Therapies”. J.M.L. is supported by grants from the European Commission (Horizon Europe-Mission Cancer, THRIVE, Ref. 101136622), by an Accelerator Award from Cancer Research UK, Fondazione per la Ricerca sul Cancro (AIRC) and Fundación Científica de la Asociación Española Contra el Cáncer (FAECC) (HUNTER, Ref. C9380/A26813), by the NIH (R01-CA273932-01, RO1DK56621 and RO1DK128289), the Samuel Waxman Cancer Research Foundation, the Spanish National Health Institute (Project PID2022-139365OB-I00; funded by MICIU/AEI/10.13039/501100011033 and FEDER), the FAECC (Proyectos Generales: PRYGN223117LLOV); FAECC Reto AECC 70% Supervivencia (RETOS245779LLOV), the Generalitat de Catalunya (AGAUR, 2021-SGR 01347), AECC Excellence Program (EPAEC246711CLIN) and by “la Caixa” Foundation under agreement LCF/PR/SP23/52950009. R.L. receives funding support from NCATS (5UL1TR001442), NIDDK (U01DK061734, U01DK130190, R01DK106419, R01DK121378, R01DK124318, P30DK120515), NHLBI (P01HL147835), John C Martin Foundation (RP124) and NIAAA (U01AA029019).
Competing interests
J.M.L. received research support from Genentech and Roche, consultancy/sponsored lecture fees from Eisai Inc., Merck, Roche, Genentech, AstraZeneca, Bayer Pharmaceuticals, AbbVie, Sanofi, Moderna, Glycotest, Exelixis and Boehringer Ingelheim, and is a member of the Data Safety Monitoring Board for Bristol-Myers Squibb. R.L. serves as a consultant to Aardvark Therapeutics, Altimmune, Arrowhead Pharmaceuticals, AstraZeneca, Cascade Pharmaceuticals, Eli Lilly, Gilead, Glympse Bio, Inipharma, Intercept, Inventiva, Ionis, Janssen Inc., Lipidio, Madrigal, Neurobo, Novo Nordisk, Merck, Pfizer, Sagimet, 89 Bio, Takeda, Terns Pharmaceuticals and Viking Therapeutics. R.L. has stock options in Sagimet Biosciences. In addition, his institution received research grants from Arrowhead Pharmaceuticals, Astrazeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lilly, Galectin Therapeutics, Gilead, Hanmi, Intercept, Inventiva, Ionis, Janssen, Madrigal Pharmaceuticals, Merck, Novo Nordisk, Pfizer, Sonic Incytes and Terns Pharmaceuticals, and is co-founder of LipoNexus Inc. R.B. received consulting fees from Novo Nordisk, Boehringer Ingelheim and GlaxoSmithKline.
Glossary
- Cholestasis
A condition characterized by impaired bile flow, leading to the accumulation of bile acids in the liver, promoting liver injury, inflammation and fibrosis
- Chronic necro-inflammation
Persistent inflammation accompanied by cell death (necrosis), often driven by immune responses and tissue damage, contributing to fibrosis and carcinogenesis in liver disease
- Cirrhosis
A hallmark of advanced stages of steatotic liver disease characterized by extensive fibrosis and regenerative nodules, leading to impaired liver function and increased cancer risk
- Hepatic steatosis
Associated with metabolic dysfunction, this is a hallmark of steatotic liver disease, whereby fat accumulates within liver cells
- Hepatomegaly
Abnormal enlargement of the liver that is typically associated with conditions such as liver disease, heart failure, infections or metabolic disorders
- Insulin resistance
A pathophysiological condition in which specific cells or tissues (for example, muscle, adipose or liver tissue) demonstrate no response to normal or elevated circulating insulin levels, resulting in impaired glucose uptake and metabolism
- Kupffer cells
Specialized resident macrophages located in the liver sinusoids that have a key role in innate immunity by removing pathogens and cellular debris and by regulating inflammatory and immune responses in the liver
- Lipolysis
The metabolic process of breaking down stored triglycerides into free fatty acids and glycerol, which are then released into the bloodstream for energy use or further metabolic processing
- Lipotoxicity
Cellular damage caused by the accumulation of toxic lipid species, such as free fatty acids, diacylglycerols and ceramides, particularly in non-adipose tissues like the liver, contributing to inflammation and fibrosis
- Metabolic reprogramming
The adaptation of cellular metabolic pathways to meet the energy demands of growth or stress, commonly observed in cancer and chronic liver diseases
- Neutrophil extracellular traps
(NETs). Extracellular networks of decondensed chromatin–DNA, histones and neutrophil-derived antimicrobial proteins released by activated neutrophils
- Onco-fetal niche
A tumour microenvironment that resembles the fetal developmental stage where cancer cells exploit similar signalling pathways and cellular interactions to promote tumour growth, survival and metastasis
- Polygenic risk score
(PRS). A numerical estimate of an individual’s genetic predisposition to a particular disease, calculated by summing the effects of multiple genetic variants associated with the condition
- Transarterial chemoembolization
(TACE). A minimally invasive procedure used to treat liver tumours in which chemotherapy is delivered directly to the tumour via the hepatic artery, while blocking the blood flow, to induce ischaemia and trap the chemotherapeutic agents within the tumour
- Transarterial radioembolization
(TARE). A minimally invasive procedure used to treat liver tumours, where radioactive microspheres are delivered through the hepatic artery to directly irradiate the tumour, while blocking blood flow, causing tumour nutrient starvation and an enrichment of the microspheres in the tumour
- Viscoelasticity
A material property characterized by the combined behaviour of viscosity (resistance to flow) and elasticity (ability to return to its original shape), which can be useful to describe liver tissue mechanics, particularly in the context of fibrosis
Footnotes
Additional information
Peer review information Nature Reviews Cancer thanks Silvia Sookoian, Cen Xie and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
References
- 1.Israelsen M, Francque S, Tsochatzis EA & Krag A. Steatotic liver disease. Lancet 404, 1761–1778 (2024). [DOI] [PubMed] [Google Scholar]
- 2.Liebe R. et al. Diagnosis and management of secondary causes of steatohepatitis. J. Hepatol 74, 1455–1471 (2021). [DOI] [PubMed] [Google Scholar]
- 3.Wong VW, Ekstedt M, Wong GL & Hagstrom H. Changing epidemiology, global trends and implications for outcomes of NAFLD. J. Hepatol 79, 842–852 (2023). [DOI] [PubMed] [Google Scholar]
- 4.Reggidori N. et al. Landscape of alcohol-related hepatocellular carcinoma in the last 15 years highlights the need to expand surveillance programs. JHEP Rep. 5, 100784 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Moeini A. et al. Mixed hepatocellular cholangiocarcinoma tumors: cholangiolocellular carcinoma is a distinct molecular entity. J. Hepatol 66, 952–961 (2017). [DOI] [PubMed] [Google Scholar]
- 6.Loomba R. et al. Obesity and alcohol synergize to increase the risk of incident hepatocellular carcinoma in men. Clin. Gastroenterol. Hepatol 8, 891–898 (2010). [DOI] [PubMed] [Google Scholar]
- 7.Babuta M. et al. A novel experimental model of MetALD in male mice recapitulates key features of severe alcohol-associated hepatitis. Hepatol. Commun 8, e0450 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Rinella ME et al. A multisociety Delphi consensus statement on new fatty liver disease nomenclature. Hepatology 78, 1966–1986 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Loomba R, Friedman SL & Shulman GI Mechanisms and disease consequences of nonalcoholic fatty liver disease. Cell 184, 2537–2564 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Anstee QM, Reeves HL, Kotsiliti E, Govaere O. & Heikenwalder M. From NASH to HCC: current concepts and future challenges. Nat. Rev. Gastroenterol. Hepatol 16, 411–428 (2019). [DOI] [PubMed] [Google Scholar]
- 11.Gallage S. et al. The therapeutic landscape of hepatocellular carcinoma. Med 2, 505–552 (2021). [DOI] [PubMed] [Google Scholar]
- 12.Loomba R. & Sanyal AJ The global NAFLD epidemic. Nat. Rev. Gastroenterol. Hepatol 10, 686–690 (2013). [DOI] [PubMed] [Google Scholar]
- 13.Gonzalez-Palacios S. et al. Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: longitudinal analysis from a randomized trial. Atherosclerosis 377, 12–23 (2023). [DOI] [PubMed] [Google Scholar]
- 14.Bataller R, Arab JP & Shah VH Alcohol-associated hepatitis. N. Engl. J. Med 387, 2436–2448 (2022). [DOI] [PubMed] [Google Scholar]
- 15.Marra F. & Svegliati-Baroni G. Lipotoxicity and the gut-liver axis in NASH pathogenesis. J. Hepatol 68, 280–295 (2018). [DOI] [PubMed] [Google Scholar]
- 16.Ringelhan M, Pfister D, O’Connor T, Pikarsky E. & Heikenwalder M. The immunology of hepatocellular carcinoma. Nat. Immunol 19, 222–232 (2018). [DOI] [PubMed] [Google Scholar]
- 17.Llovet JM et al. Nonalcoholic steatohepatitis-related hepatocellular carcinoma: pathogenesis and treatment. Nat. Rev. Gastroenterol. Hepatol 20, 487–503 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Vujkovic M. et al. A multiancestry genome-wide association study of unexplained chronic ALT elevation as a proxy for nonalcoholic fatty liver disease with histological and radiological validation. Nat. Genet 54, 761 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Schwantes-An TH et al. Genome-wide association study and meta-analysis on alcohol-associated liver cirrhosis identifies genetic risk factors. Hepatology 73, 1920–1931 (2021). [DOI] [PubMed] [Google Scholar]
- 20.Ogrodnik M. et al. Cellular senescence drives age-dependent hepatic steatosis. Nat. Commun 8, 15691 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Samuel VT et al. Inhibition of protein kinase Cε prevents hepatic insulin resistance in nonalcoholic fatty liver disease. J. Clin. Invest 117, 739–745 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Henao-Mejia J. et al. Inflammasome-mediated dysbiosis regulates progression of NAFLD and obesity. Nature 482, 179–185 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Pfister D. et al. NASH limits anti-tumour surveillance in immunotherapy-treated HCC. Nature 592, 450–456 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kumar R, Goh B-BG, Kam JW, Chang PE & Tan CK Comparisons between non-alcoholic steatohepatitis and alcohol-related hepatocellular carcinoma. Clin. Mol. Hepatol 26, 196–208 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Li M. et al. Spatial proteomics of immune microenvironment in nonalcoholic steatohepatitis-associated hepatocellular carcinoma. Hepatology 79, 560–574 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Lemaitre L. et al. Spatial analysis reveals targetable macrophage-mediated mechanisms of immune evasion in hepatocellular carcinoma minimal residual disease. Nat. Cancer 5, 1534–1556 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Li X. et al. Activated ATF6α is a hepatic tumour driver restricting immunosurveillance. Nature 651, 796–807 (2026). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.De Lorenzo S. et al. Non-alcoholic steatohepatitis as a risk factor for intrahepatic cholangiocarcinoma and its prognostic role. Cancers 12, 3182 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kotsiliti E. et al. Intestinal B cells license metabolic T-cell activation in NASH microbiota/antigen-independently and contribute to fibrosis by IgA-FcR signalling. J. Hepatol 79, 296–313 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Llovet JM & Heikenwalder M. Atezolizumab plus bevacizumab in advanced HCC: efficacy in NASH-specific etiology. Gastroenterology 165, 1308–1310 (2023). [Google Scholar]
- 31.Schieber K. et al. Self-reports on symptoms of alcohol abuse: liver transplant patients versus rehabilitation therapy patients. Prog. Transpl 25, 203–209 (2015). [Google Scholar]
- 32.Staufer K. et al. Ethyl glucuronide in hair detects a high rate of harmful alcohol consumption in presumed non-alcoholic fatty liver disease. J. Hepatol 77, 918–930 (2022). [DOI] [PubMed] [Google Scholar]
- 33.Christ A, Lauterbach M. & Latz E. Western diet and the immune system: an inflammatory connection. Immunity 51, 794–811 (2019). [DOI] [PubMed] [Google Scholar]
- 34.Vacca M. et al. An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD). Nat. Metab 6, 1178–1196 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Piguet AC et al. Regular exercise decreases liver tumors development in hepatocyte-specific PTEN-deficient mice independently of steatosis. J. Hepatol 62, 1296–1303 (2015). [DOI] [PubMed] [Google Scholar]
- 36.Altamirano J. & Bataller R. Cigarette smoking and chronic liver diseases. Gut 59, 1159–1162 (2010). [DOI] [PubMed] [Google Scholar]
- 37.Suh B. et al. Prediction of future hepatocellular carcinoma incidence in moderate to heavy alcohol drinkers with the FIB-4 liver fibrosis index. Cancer 121, 3818–3825 (2015). [DOI] [PubMed] [Google Scholar]
- 38.Yoo JJ et al. Smoking increases the risk of hepatocellular carcinoma and cardiovascular disease in patients with metabolic-associated fatty liver disease. J. Clin. Med 12, 3336 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pan C. et al. Hepatocyte CHRNA4 mediates the MASH-promotive effects of immune cell-produced acetylcholine and smoking exposure in mice and humans. Cell Metab. 35, 2231–2249.e7 (2023). [DOI] [PubMed] [Google Scholar]
- 40.Rayapati D, McGlynn KA, Groopman JD & Kim AK Environmental exposures and the risk of hepatocellular carcinoma. Hepatology Commun. 9, e0627 (2025). [Google Scholar]
- 41.Chen B. et al. Gut bacteria alleviate smoking-related NASH by degrading gut nicotine. Nature 610, 562–568 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Mukherji A, Dachraoui M. & Baumert TF Perturbation of the circadian clock and pathogenesis of NAFLD. Metabolism 111S, 154337 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kettner NM et al. Circadian homeostasis of liver metabolism suppresses hepatocarcinogenesis. Cancer Cell 30, 909–924 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ganne-Carrie N. & Nahon P. Hepatocellular carcinoma in the setting of alcohol-related liver disease. J. Hepatol 70, 284–293 (2019). [DOI] [PubMed] [Google Scholar]
- 45.Diaz LA, Arab JP, Louvet A, Bataller R. & Arrese M. The intersection between alcohol-related liver disease and nonalcoholic fatty liver disease. Nat. Rev. Gastroenterol. Hepatol 20, 764–783 (2023). [DOI] [PubMed] [Google Scholar]
- 46.Emdin CA et al. Association of genetic variation with cirrhosis: a multi-trait genome-wide association and gene-environment interaction study. Gastroenterology 160, 1620–1633.e13 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Whitfield JB et al. A genetic risk score and diabetes predict development of alcohol-related cirrhosis in drinkers. J. Hepatol 76, 275–282 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Buch S. et al. A genome-wide association study confirms PNPLA3 and identifies TM6SF2 and MBOAT7 as risk loci for alcohol-related cirrhosis. Nat. Genet 47, 1443–1448 (2015). [DOI] [PubMed] [Google Scholar]
- 49.Romeo S. et al. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat. Genet 40, 1461–1465 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Tian C, Stokowski RP, Kershenobich D, Ballinger DG & Hinds DA Variant in PNPLA3 is associated with alcoholic liver disease. Nat. Genet 42, 21–23 (2010). [DOI] [PubMed] [Google Scholar]
- 51.Ting YW et al. Loss-of-function HSD17B13 variants, non-alcoholic steatohepatitis and adverse liver outcomes: results from a multi-ethnic Asian cohort. Clin. Mol. Hepatol 27, 486–498 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Schwantes-An TH et al. A polygenic risk score for alcohol-associated cirrhosis among heavy drinkers with European ancestry. Hepatol. Commun 8, e0431 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Pinyol R. et al. Molecular characterisation of hepatocellular carcinoma in patients with non-alcoholic steatohepatitis. J. Hepatol 75, 865–878 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Schulze K. et al. Exome sequencing of hepatocellular carcinomas identifies new mutational signatures and potential therapeutic targets. Nat. Genet 47, 505–U106 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Fu Y, Maccioni L, Wang XW, Greten TF & Gao B. Alcohol-associated liver cancer. Hepatology 80, 1462–1479 (2024). [DOI] [PubMed] [Google Scholar]
- 56.Moeini A. et al. An immune gene expression signature associated with development of human hepatocellular carcinoma identifies mice that respond to chemopreventive agents. Gastroenterology 157, 1383 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Donne R. et al. Replication stress triggered by nucleotide pool imbalance drives DNA damage and cGAS-STING pathway activation in NAFLD. Dev. Cell 57, 1728 (2022). [DOI] [PubMed] [Google Scholar]
- 58.Iturbe-Rey S. et al. Lipotoxicity-driven metabolic dysfunction-associated steatotic liver disease (MASLD). Atherosclerosis 400, 119053 (2025). [DOI] [PubMed] [Google Scholar]
- 59.Rudalska R. et al. LXRα activation and Raf inhibition trigger lethal lipotoxicity in liver cancer. Nat. Cancer 2, 201–217 (2021). [DOI] [PubMed] [Google Scholar]
- 60.Lee JW et al. PIK3CA gene is frequently mutated in breast carcinomas and hepatocellular carcinomas. Oncogene 24, 1477–1480 (2005). [DOI] [PubMed] [Google Scholar]
- 61.Knight ZA et al. A pharmacological map of the PI3-K family defines a role for p110α in insulin signaling. Cell 125, 733–747 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Zeybel M. et al. Multigenerational epigenetic adaptation of the hepatic wound-healing response. Nat. Med 18, 1369–1377 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Ally A. et al. Comprehensive and integrative genomic characterization of hepatocellular carcinoma. Cell 169, 1327 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Zhou XD et al. Effect of hypertension on long-term adverse clinical outcomes and liver fibrosis progression in MASLD. J. Hepatol 84, 254–265 (2026). [DOI] [PubMed] [Google Scholar]
- 65.Armandi A, Rosso C, Caviglia GP & Bugianesi E. An updated overview on hepatocellular carcinoma in patients with metabolic dysfunction-associated steatotic liver disease: trends, pathophysiology and risk-based surveillance. Metabolism 162, 156080 (2024). [DOI] [PubMed] [Google Scholar]
- 66.Kodama T. & Takehara T. Molecular genealogy of metabolic-associated hepatocellular carcinoma. Semin. Liver Dis 44, 147–158 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Tanaka S, Mohr L, Schmidt EV, Sugimachi K. & Wands JR Biological effects of human insulin receptor substrate-1 overexpression in hepatocytes. Hepatology 26, 598–604 (1997). [DOI] [PubMed] [Google Scholar]
- 68.Takino J, Yamagishi S. & Takeuchi M. Glycer-AGEs-RAGE signaling enhances the angiogenic potential of hepatocellular carcinoma by upregulating VEGF expression. World J. Gastroenterol 18, 1781–1788 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Yaser AM et al. The role of receptor for advanced glycation end products (RAGE) in the proliferation of hepatocellular carcinoma. Int. J. Mol. Sci 13, 5982–5997 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Fuchs CD et al. Bile acid metabolism and signalling in liver disease. J. Hepatol 82, 134–153 (2025). [DOI] [PubMed] [Google Scholar]
- 71.Yeoh BS et al. Enterohepatic shunt-driven cholemia predisposes to liver cancer. Gastroenterology 163, 1658 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Gallage S. et al. Spontaneous cholemia in C57BL/6 mice predisposes to liver cancer in NASH. Cell Mol. Gastroenterol. Hepatol 13, 875–878 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Singh V. et al. Dysregulated microbial fermentation of soluble fiber induces cholestatic liver cancer. Cell 175, 679–694.e22 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Adorini L. & Trauner M. FXR agonists in NASH treatment. J. Hepatol 79, 1317–1331 (2023). [DOI] [PubMed] [Google Scholar]
- 75.Yang F. et al. Spontaneous development of liver tumors in the absence of the bile acid receptor farnesoid X receptor. Cancer Res. 67, 863–867 (2007). [DOI] [PubMed] [Google Scholar]
- 76.Fan S. et al. YAP-TEAD mediates PPAR α-induced hepatomegaly and liver regeneration in mice. Hepatology 75, 74–88 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Bueloni B, Garcia Fernandez de Barrena M, Avila MA, Bayo J. & Mazzolini G. Epigenetic mechanisms involved in hepatocellular carcinoma development and progression. eGastroenterology 3, e100186 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Braghini MR et al. Epigenetic remodelling in human hepatocellular carcinoma. J. Exp. Clin. Cancer Res 41, 107 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Wei L. et al. Histone methyltransferase G9a promotes liver cancer development by epigenetic silencing of tumor suppressor gene RARRES3. J. Hepatol 67, 758–769 (2017). [DOI] [PubMed] [Google Scholar]
- 80.Chai C. et al. Agonist of RORA attenuates nonalcoholic fatty liver progression in mice via up-regulation of microRNA 122. Gastroenterology 159, 999 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Hao L. et al. ATF4 activation promotes hepatic mitochondrial dysfunction by repressing NRF1-TFAM signalling in alcoholic steatohepatitis. Gut 70, 1933–1945 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Gao B, Ahmad MF, Nagy LE & Tsukamoto H. Inflammatory pathways in alcoholic steatohepatitis. J. Hepatol 70, 249–259 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Mandrekar P, Bataller R, Tsukamoto H. & Gao B. Alcoholic hepatitis: translational approaches to develop targeted therapies. Hepatology 64, 1343–1355 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Nahon P. & Nault JC Constitutional and functional genetics of human alcohol-related hepatocellular carcinoma. Liver Int. 37, 1591–1601 (2017). [DOI] [PubMed] [Google Scholar]
- 85.Allain C, Angenard G, Clement B. & Coulouarn C. Integrative genomic analysis identifies the core transcriptional hallmarks of human hepatocellular carcinoma. Cancer Res. 76, 6374–6381 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Edenberg HJ The genetics of alcohol metabolism: role of alcohol dehydrogenase and aldehyde dehydrogenase variants. Alcohol Res. Health 30, 5–13 (2007). [PMC free article] [PubMed] [Google Scholar]
- 87.Homann N. et al. Alcohol dehydrogenase 1C*1 allele is a genetic marker for alcohol-associated cancer in heavy drinkers. Int. J. Cancer 118, 1998–2002 (2006). [DOI] [PubMed] [Google Scholar]
- 88.Seo W. et al. ALDH2 deficiency promotes alcohol-associated liver cancer by activating oncogenic pathways via oxidized DNA-enriched extracellular vesicles. J. Hepatol 71, 1000–1011 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Habash NW, Sehrawat TS, Shah VH & Cao S. Epigenetics of alcohol-related liver diseases. JHEP Rep. 4, 100466 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Bailey SM et al. S-adenosylmethionine prevents chronic alcohol-induced mitochondrial dysfunction in the rat liver. Am. J. Physiol. Gastrointest. Liver Physiol 291, G857–G867 (2006). [DOI] [PubMed] [Google Scholar]
- 91.Lu SC & Mato JMS S-adenosylmethionine in liver health, injury, and cancer. Physiol. Rev 92, 1515–1542 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Csepregi A. et al. Promoter methylation of CDKN2A and lack of p16 expression characterize patients with hepatocellular carcinoma. BMC Cancer 10, 317 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Szabo G. & Satishchandran A. MicroRNAs in alcoholic liver disease. Semin. Liver Dis 35, 36–42 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Cheung O. et al. Nonalcoholic steatohepatitis is associated with altered hepatic microRNA expression. Hepatology 48, 1810–1820 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Fernández-Tussy P. et al. miR-33 deletion in hepatocytes attenuates MASLD-MASH-HCC progression. JCI Insight 9, ARTN e168476 (2024). [Google Scholar]
- 96.Gomes AL et al. Metabolic inflammation-associated IL-17A causes non-alcoholic steatohepatitis and hepatocellular carcinoma. Cancer Cell 30, 161–175 (2016). [DOI] [PubMed] [Google Scholar]
- 97.Ma HY et al. IL-17 signaling in steatotic hepatocytes and macrophages promotes hepatocellular carcinoma in alcohol-related liver disease. J. Hepatol 72, 946–959 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Naugler WE et al. Gender disparity in liver cancer due to sex differences in MyD88-dependent IL-6 production. Science 317, 121–124 (2007). [DOI] [PubMed] [Google Scholar]
- 99.Haybaeck J. et al. A lymphotoxin-driven pathway to hepatocellular carcinoma. Cancer Cell 16, 295–308 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Park EJ et al. Dietary and genetic obesity promote liver inflammation and tumorigenesis by enhancing IL-6 and TNF expression. Cell 140, 197–208 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Taniguchi K. & Karin M. NF-κB, inflammation, immunity and cancer: coming of age. Nat. Rev. Immunol 18, 309–324 (2018). [DOI] [PubMed] [Google Scholar]
- 102.Dhar D. et al. Liver cancer initiation requires p53 inhibition by CD44-enhanced growth factor signaling. Cancer Cell 33, 1061–1077.e6 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.He G. & Karin M. NF-κB and STAT3 — key players in liver inflammation and cancer. Cell Res. 21, 159–168 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Pikarsky E. & Ben-Neriah Y. NF-κB inhibition: a double-edged sword in cancer? Eur. J. Cancer 42, 779–784 (2006). [DOI] [PubMed] [Google Scholar]
- 105.Maeda S, Kamata H, Luo JL, Leffert H. & Karin M. IKKβ couples hepatocyte death to cytokine-driven compensatory proliferation that promotes chemical hepatocarcinogenesis. Cell 121, 977–990 (2005). [DOI] [PubMed] [Google Scholar]
- 106.Wolf MJ et al. Metabolic activation of intrahepatic CD8+ T cells and NKT cells causes nonalcoholic steatohepatitis and liver cancer via cross-talk with hepatocytes. Cancer Cell 26, 549–564 (2014). [DOI] [PubMed] [Google Scholar]
- 107.Luedde T. et al. Deletion of NEMO/IKKγ in liver parenchymal cells causes steatohepatitis and hepatocellular carcinoma. Cancer Cell 11, 119–132 (2007). [DOI] [PubMed] [Google Scholar]
- 108.Bettermann K. et al. TAK1 suppresses a NEMO-dependent but NF-κB-independent pathway to liver cancer. Cancer Cell 17, 481–496 (2010). [DOI] [PubMed] [Google Scholar]
- 109.Fan W. et al. Matrix viscoelasticity promotes liver cancer progression in the pre-cirrhotic liver. Nature 626, 635–642 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Tobari M. et al. The characteristics and risk factors of hepatocellular carcinoma in nonalcoholic fatty liver disease without cirrhosis. J. Gastroenterol. Hepatol 35, 862–869 (2020). [DOI] [PubMed] [Google Scholar]
- 111.Orci LA et al. Incidence of hepatocellular carcinoma in patients with nonalcoholic fatty liver disease: a systematic review, meta-analysis, and meta-regression. Clin. Gastroenterol. Hepatol 20, 283–292 e210 (2022). [DOI] [PubMed] [Google Scholar]
- 112.Horn P. & Tacke F. Metabolic reprogramming in liver fibrosis. Cell Metab. 36, 1439–1455 (2024). [DOI] [PubMed] [Google Scholar]
- 113.Tacke F, Puengel T, Loomba R. & Friedman SL An integrated view of anti-inflammatory and antifibrotic targets for the treatment of NASH. J. Hepatol 79, 552–566 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Jaitin DA et al. Lipid-associated macrophages control metabolic homeostasis in a Trem2-dependent manner. Cell 178, 686–698.e14 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Zhang P. et al. Neuregulin 4 suppresses NASH-HCC development by restraining tumor-prone liver microenvironment. Cell Metab. 34, 1359–1376.e7 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Xiong X. et al. Landscape of intercellular crosstalk in healthy and NASH liver revealed by single-cell secretome gene analysis. Mol. Cell 75, 644–660.e5 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Seidman JS et al. Niche-specific reprogramming of epigenetic landscapes drives myeloid cell diversity in nonalcoholic steatohepatitis. Immunity 52, 1057–1074.e7 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Ganguly S. et al. Lipid-associated macrophages’ promotion of fibrosis resolution during MASH regression requires TREM2. Proc. Natl Acad. Sci. USA 121, e2405746121 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Zhou L. et al. Lipid droplet efferocytosis attenuates proinflammatory signaling in macrophages via TREM2- and MS4A7-dependent mechanisms. Cell Rep. 44, 115310 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Fredrickson G. et al. TREM2 macrophages mediate the beneficial effects of bariatric surgery against MASH. Hepatology 81, 1776–1791 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Ramachandran P. et al. Resolving the fibrotic niche of human liver cirrhosis at single-cell level. Nature 575, 512 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Guilliams M. & Scott CL Liver macrophages in health and disease. Immunity 55, 1515–1529 (2022). [DOI] [PubMed] [Google Scholar]
- 123.Feng DC et al. Monocyte-derived macrophages orchestrate multiple cell-type interactions to repair necrotic liver lesions in disease models. J. Clin. Invest 133, e166954 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Wen YK, Lambrecht J, Ju C. & Tacke F. Hepatic macrophages in liver homeostasis and diseases-diversity, plasticity and therapeutic opportunities. Cell Mol. Immunol 18, 45–56 (2021). [Google Scholar]
- 125.Li Z. et al. Presence of onco-fetal neighborhoods in hepatocellular carcinoma is associated with relapse and response to immunotherapy. Nat. Cancer 5, 167–186 (2024). [DOI] [PubMed] [Google Scholar]
- 126.Sharma A. et al. Onco-fetal reprogramming of endothelial cells drives immunosuppressive macrophages in hepatocellular carcinoma. Cell 183, 377–394.e21 (2020). [DOI] [PubMed] [Google Scholar]
- 127.Cappuyns S. et al. PD-1- CD45RA+ effector-memory CD8 T cells and CXCL10+ macrophages are associated with response to atezolizumab plus bevacizumab in advanced hepatocellular carcinoma. Nat. Commun 14, 7825 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Tan J. et al. TREM2+ macrophages suppress CD8+ T-cell infiltration after transarterial chemoembolisation in hepatocellular carcinoma. J. Hepatol 79, 126–140 (2023). [DOI] [PubMed] [Google Scholar]
- 129.Ning J. et al. Macrophage-coated tumor cluster aggravates hepatoma invasion and immunotherapy resistance via generating local immune deprivation. Cell Rep. Med 5, 101505 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Deczkowska A. et al. XCR1+ type 1 conventional dendritic cells drive liver pathology in non-alcoholic steatohepatitis. Nat. Med 27, 1043–1054 (2021). [DOI] [PubMed] [Google Scholar]
- 131.Heier EC et al. Murine CD103+ dendritic cells protect against steatosis progression towards steatohepatitis. J. Hepatol 66, 1241–1250 (2017). [DOI] [PubMed] [Google Scholar]
- 132.Zhang Q. et al. Landscape and dynamics of single immune cells in hepatocellular carcinoma. Cell 179, 829–845.e20 (2019). [DOI] [PubMed] [Google Scholar]
- 133.Herber DL et al. Lipid accumulation and dendritic cell dysfunction in cancer. Nat. Med 16, 880–886 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Jaillon S. et al. Neutrophil diversity and plasticity in tumour progression and therapy. Nat. Rev. Cancer 20, 485–503 (2020). [DOI] [PubMed] [Google Scholar]
- 135.Xue R. et al. Liver tumour immune microenvironment subtypes and neutrophil heterogeneity. Nature 612, 141–147 (2022). [DOI] [PubMed] [Google Scholar]
- 136.Wang H. et al. Regulatory T-cell and neutrophil extracellular trap interaction contributes to carcinogenesis in non-alcoholic steatohepatitis. J. Hepatol 75, 1271–1283 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Wang H. et al. Neutrophil extracellular traps in homeostasis and disease. Signal. Transduct. Target. Ther 9, 235 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Xia Y. et al. Erratum: Neutrophil extracellular traps promote MASH fibrosis by metabolic reprogramming of HSC. Hepatology 81, 947–961 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Leslie J. et al. CXCR2 inhibition enables NASH-HCC immunotherapy. Gut 71, 2093–2106 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Malehmir M. et al. Platelet GPIbα is a mediator and potential interventional target for NASH and subsequent liver cancer. Nat. Med 25, 641–655 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Ramadori P, Klag T, Malek NP & Heikenwalder M. Platelets in chronic liver disease, from bench to bedside. JHEP Rep. 1, 448–459 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Ma C. et al. Platelets control liver tumor growth through P2Y12-dependent CD40L release in NAFLD. Cancer Cell 40, 986–998.e5 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Chu P. et al. Recruited CCR9+ macrophages promote murine liver fibrosis through induction of TGF-β in hepatic stellate cells. Hepatology 56, 769a (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Borkham-Kamphorst E. et al. Pro-fibrogenic potential of PDGF-D in liver fibrosis. J. Hepatol 46, 1064–1074 (2007). [DOI] [PubMed] [Google Scholar]
- 145.Simon TG et al. Association of aspirin with hepatocellular carcinoma and liver-related mortality. N. Engl. J. Med 382, 1018–1028 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Dudek M. et al. Auto-aggressive CXCR6+ CD8 T cells cause liver immune pathology in NASH. Nature 592, 444–449 (2021). [DOI] [PubMed] [Google Scholar]
- 147.Ma C. et al. NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis. Nature 531, 253–257 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Kelley RK & Greten TF Hepatocellular carcinoma — origins and outcomes. N. Engl. J. Med 385, 280–282 (2021). [DOI] [PubMed] [Google Scholar]
- 149.Llovet JM et al. Immunotherapies for hepatocellular carcinoma. Nat. Rev. Clin. Oncol 19, 151–172 (2022). [DOI] [PubMed] [Google Scholar]
- 150.Heinrich B. et al. Steatohepatitis impairs T-cell-directed immunotherapies against liver tumors in mice. Gastroenterology 160, 331–345.e336 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Ben Khaled N. et al. Atezolizumab/bevacizumab or lenvatinib in hepatocellular carcinoma: multicenter real-world study with focus on bleeding and thromboembolic events. JHEP Rep. 6, 101065 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Ahn JC et al. Comparative effectiveness of immunotherapy versus lenvatinib in advanced hepatocellular carcinoma: a real-world analysis using target trial emulation. Hepatology 83, 249–260 (2026). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.Mederacke I. et al. Fate tracing reveals hepatic stellate cells as dominant contributors to liver fibrosis independent of its aetiology. Nat. Commun 4, 2823 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Schwabe RF, Tacke F, Sugimoto A. & Friedman SL Antifibrotic therapies for metabolic dysfunction-associated steatotic liver disease. JHEP Rep. 7, 101421 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Schwabe RF & Brenner DA Hepatic stellate cells: balancing homeostasis, hepatoprotection and fibrogenesis in health and disease. Nat. Rev. Gastroenterol. Hepatol 22, 481–499 (2025). [DOI] [PubMed] [Google Scholar]
- 156.Zhang PP et al. Single-cell RNA transcriptomics reveals differences in the immune status of alcoholic and hepatitis B virus-related liver cirrhosis. Front. Endocrinol 14, 1132085 (2023). [Google Scholar]
- 157.Wang Y. et al. Infiltrating macrophages replace Kupffer cells and play diverse roles in severe alcohol-associated hepatitis. Cell Mol. Immunol 22, 1262–1275 (2025). [Google Scholar]
- 158.Khan MAS et al. Neutrophil extracellular traps (NETs) and NETosis in alcohol-associated diseases: a systematic review. Alcohol Clin. Exp. Res 49, 697–711 (2025). [Google Scholar]
- 159.Azzu V, Vacca M, Virtue S, Allison M. & Vidal-Puig A. Adipose tissue-liver cross talk in the control of whole-body metabolism: implications in nonalcoholic fatty liver disease. Gastroenterology 158, 1899–1912 (2020). [DOI] [PubMed] [Google Scholar]
- 160.Nielsen S. & Jensen MD Insulin regulation of regional lipolysis in upper-body obese and lean humans. JCI Insight 9, e175629 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Perry RJ et al. Hepatic acetyl CoA links adipose tissue inflammation to hepatic insulin resistance and type 2 diabetes. Cell 160, 745–758 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Foerster F, Gairing SJ, Muller L. & Galle PR NAFLD-driven HCC: safety and efficacy of current and emerging treatment options. J. Hepatol 76, 446–457 (2022). [DOI] [PubMed] [Google Scholar]
- 163.Falkevall A. et al. Inhibition of VEGF-B signaling prevents non-alcoholic fatty liver disease development by targeting lipolysis in the white adipose tissue. J. Hepatol 78, 901–913 (2023). [DOI] [PubMed] [Google Scholar]
- 164.Boesch M. et al. Adipose tissue macrophage dysfunction is associated with a breach of vascular integrity in NASH. J. Hepatol 80, 397–408 (2024). [DOI] [PubMed] [Google Scholar]
- 165.Montano-Loza AJ et al. Visceral adiposity increases risk for hepatocellular carcinoma in male patients with cirrhosis and recurrence after liver transplant. Hepatology 67, 914–923 (2018). [DOI] [PubMed] [Google Scholar]
- 166.Ohki T. et al. Visceral fat accumulation is an independent risk factor for hepatocellular carcinoma recurrence after curative treatment in patients with suspected NASH. Gut 58, 839–844 (2009). [DOI] [PubMed] [Google Scholar]
- 167.Imai K. et al. Higher accumulation of visceral adipose tissue is an independent risk factor for hepatocellular carcinoma among viral hepatitis patients with non-cirrhotic livers. Cancers 13, 5980 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Liu B. et al. Sparcl1 promotes nonalcoholic steatohepatitis progression in mice through upregulation of CCL2. J. Clin. Invest 131, e144801 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Caviglia GP et al. Biomarkers of oncogenesis, adipose tissue dysfunction and systemic inflammation for the detection of hepatocellular carcinoma in patients with nonalcoholic fatty liver disease. Cancers 13, 2305 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Gunasekar SK et al. Adipose-targeted SWELL1 deletion exacerbates obesity- and age-related nonalcoholic fatty liver disease. JCI Insight 8, e154940 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Park SH et al. Ethanol and its nonoxidative metabolites promote acute liver injury by inducing ER stress, adipocyte death, and lipolysis. Cell Mol. Gastroenterol. Hepatol 15, 281–306 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Turnbaugh PJ et al. A core gut microbiome in obese and lean twins. Nature 457, 480–484 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Lau HC, Zhang X. & Yu J. Gut microbiome in metabolic dysfunction-associated steatotic liver disease and associated hepatocellular carcinoma. Nat. Rev. Gastroenterol. Hepatol 22, 619–638 (2025). [DOI] [PubMed] [Google Scholar]
- 174.Kolodziejczyk AA, Zheng D, Shibolet O. & Elinav E. The role of the microbiome in NAFLD and NASH. EMBO Mol. Med 11, e9302 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Zhang X. et al. Dietary cholesterol drives fatty liver-associated liver cancer by modulating gut microbiota and metabolites. Gut 70, 761–774 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Zeng S. & Schnabl B. Gut mycobiome alterations and implications for liver diseases. PLoS Pathog. 20, e1012377 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Macpherson AJ, Heikenwalder M. & Ganal-Vonarburg SC The liver at the nexus of host-microbial interactions. Cell Host Microbe 20, 561–571 (2016). [DOI] [PubMed] [Google Scholar]
- 178.Yu LX & Schwabe RF The gut microbiome and liver cancer: mechanisms and clinical translation. Nat. Rev. Gastroenterol. Hepatol 14, 527–539 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Mouries J. et al. Microbiota-driven gut vascular barrier disruption is a prerequisite for non-alcoholic steatohepatitis development. J. Hepatol 71, 1216–1228 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Dapito DH et al. Promotion of hepatocellular carcinoma by the intestinal microbiota and TLR4. Cancer Cell 21, 504–516 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Kim C, Tsai TH, Lopez R, McCullough A. & Kasumov T. Obeticholic acid’s effect on HDL function in MASH varies by diabetic status. Lipids 25, 221–231 (2024). [Google Scholar]
- 182.Yoshimoto S. et al. Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome. Nature 499, 97–101 (2013). [DOI] [PubMed] [Google Scholar]
- 183.Ma C. et al. Gut microbiome-mediated bile acid metabolism regulates liver cancer via NKT cells. Science 360, eaan5931 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184.Yang M. et al. Western diet contributes to the pathogenesis of non-alcoholic steatohepatitis in male mice via remodeling gut microbiota and increasing production of 2-oleoylglycerol. Nat. Commun 14, 228 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185.Song Q. et al. Bifidobacterium pseudolongum-generated acetate suppresses non-alcoholic fatty liver disease-associated hepatocellular carcinoma. J. Hepatol 79, 1352–1365 (2023). [DOI] [PubMed] [Google Scholar]
- 186.Wang R. et al. Gut microbiome, liver immunology, and liver diseases. Cell Mol. Immunol 18, 4–17 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187.Wang X. et al. Gut-liver translocation of pathogen Klebsiella pneumoniae promotes hepatocellular carcinoma in mice. Nat. Microbiol 10, 169–184 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Maccioni L. et al. Alcohol-associated bowel disease: new insights into pathogenesis. eGastroenterology 1, e10001 (2023). [Google Scholar]
- 189.Albillos A, de Gottardi A. & Rescigno M. The gut-liver axis in liver disease: pathophysiological basis for therapy. J. Hepatol 72, 558–577 (2020). [DOI] [PubMed] [Google Scholar]
- 190.Mackowiak B, Fu Y, Maccioni L. & Gao B. Alcohol-associated liver disease. J. Clin. Invest 134, e176345 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Wree A, Broderick L, Canbay A, Hoffman HM & Feldstein AE From NAFLD to NASH to cirrhosis-new insights into disease mechanisms. Nat. Rev. Gastroenterol. Hepatol 10, 627–636 (2013). [DOI] [PubMed] [Google Scholar]
- 192.Rivera CA et al. Toll-like receptor-4 signaling and Kupffer cells play pivotal roles in the pathogenesis of non-alcoholic steatohepatitis. J. Hepatol 47, 571–579 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193.Liu Y. et al. Gut-derived lipopolysaccharide promotes alcoholic hepatosteatosis and subsequent hepatocellular carcinoma by stimulating neutrophil extracellular traps through toll-like receptor 4. Clin. Mol. Hepatol 28, 522–539 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Yuan J. et al. Fatty liver disease caused by high-alcohol-producing Klebsiella pneumoniae. Cell Metab. 30, 675–688 e677 (2019). [DOI] [PubMed] [Google Scholar]
- 195.Meijnikman AS et al. Microbiome-derived ethanol in nonalcoholic fatty liver disease. Nat. Med 28, 2100–2106 (2022). [DOI] [PubMed] [Google Scholar]
- 196.Stamation R. Endogenous ethanol production in the human alimentary tract: a literature review. J. Gastroenterol. Hepatol 40, 783–790 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Buchynskyi M. et al. Unlocking the gut-liver axis: microbial contributions to the pathogenesis of metabolic-associated fatty liver disease. Front. Microbiol 16, 1577724 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198.Hsu CL et al. Gut microbial ethanol metabolism contributes to auto-brewery syndrome in an observational cohort. Nat. Microbiol 11, 415–428 (2026). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Xie M, Li X, Lau HC & Yu J. The gut microbiota in cancer immunity and immunotherapy. Cell Mol. Immunol 22, 1012–1031 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200.Wang Y. et al. Roles of the gut microbiota in hepatocellular carcinoma: from the gut dysbiosis to the intratumoral microbiota. Cell Death Discov. 11, 140 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Shen H, Jiang L, Lin JD, Omary MB & Rui L. Brown fat activation mitigates alcohol-induced liver steatosis and injury in mice. J. Clin. Invest 129, 2305–2317 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Zhou C. et al. Sympathetic overdrive and unrestrained adipose lipolysis drive alcohol-induced hepatic steatosis in rodents. Mol. Metab 78, 101813 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203.Xie W. et al. Myocardial infarction accelerates the progression of MASH by triggering immunoinflammatory response and induction of periosti. Cell Metab. 36, 1269–1286.e9 (2024). [DOI] [PubMed] [Google Scholar]
- 204.Llovet JM et al. Hepatocellular carcinoma. Nat. Rev. Dis. Primers 7, 6 (2021). [DOI] [PubMed] [Google Scholar]
- 205.Villanueva A. Hepatocellular carcinoma. N. Engl. J. Med 380, 1450–1462 (2019). [DOI] [PubMed] [Google Scholar]
- 206.Do A, Zahrawi F. & Mehal WZ Therapeutic landscape of metabolic dysfunction-associated steatohepatitis (MASH). Nat. Rev. Drug Discov 24, 171–189 (2025). [DOI] [PubMed] [Google Scholar]
- 207.Cooreman M. et al. The pan-PPAR agonist lanifibranor improves markers of cardiometabolic health in patients with NASH independent of weight change. J. Hepatol 77, S721–S722 (2022). [Google Scholar]
- 208.Mantovani A. et al. Glucagon-like peptide-1 receptor agonists for treatment of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: an updated meta-analysis of randomized controlled trials. Metabolites 11, 73 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Androutsakos T. et al. SGLT-2 inhibitors in NAFLD: expanding their role beyond diabetes and cardioprotection. Int. J. Mol. Sci 23, 3107 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Lazarus JV et al. Opportunities and challenges following approval of resmetirom for MASH liver disease. Nat. Med 30, 3402–3405 (2024). [DOI] [PubMed] [Google Scholar]
- 211.Gallage S. et al. A 5:2 intermittent fasting regimen ameliorates NASH and fibrosis and blunts HCC development via hepatic PPARα and PCK1. Cell Metab. 36, 1371–1393.e7 (2024). [DOI] [PubMed] [Google Scholar]
- 212.Singal AG et al. HCC surveillance improves early detection, curative treatment receipt, and survival in patients with cirrhosis: a meta-analysis. J. Hepatol 77, 128–139 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 213.Choi DT et al. Hepatocellular carcinoma screening is associated with increased survival of patients with cirrhosis. Clin. Gastroenterol. Hepatol 17, 976–987.e4 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Singal AG, Kanwal F. & Llovet JM Global trends in hepatocellular carcinoma epidemiology: implications for screening, prevention and therapy. Nat. Rev. Clin. Oncol 20, 864–884 (2023). [DOI] [PubMed] [Google Scholar]
- 215.Wolf E, Rich NE, Marrero JA, Parikh ND & Singal AG Use of hepatocellular carcinoma surveillance in patients with cirrhosis: a systematic review and meta-analysis. Hepatology 73, 713–725 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Gupta P. et al. Abbreviated MRI for hepatocellular carcinoma screening: a systematic review and meta-analysis. J. Hepatol 75, 108–119 (2021). [DOI] [PubMed] [Google Scholar]
- 217.Kim DH et al. Comparison of non-contrast abbreviated MRI and ultrasound as surveillance modalities for HCC. J. Hepatol 81, 461–470 (2024). [DOI] [PubMed] [Google Scholar]
- 218.Singal AG et al. AASLD Practice Guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma. Hepatology 78, 1922–1965 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219.European Association for the Study of the Liver. EASL Clinical Practice Guidelines: management of hepatocellular carcinoma. J. Hepatol 69, 182–236 (2018). [DOI] [PubMed] [Google Scholar]
- 220.Omata M. et al. Asia-Pacific clinical practice guidelines on the management of hepatocellular carcinoma: a 2017 update. Hepatol. Int 11, 317–370 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221.Berhane S. et al. Role of the GALAD and BALAD-2 serologic models in diagnosis of hepatocellular carcinoma and prediction of survival in patients. Clin. Gastroenterol. Hepatol 14, 875 (2016). [DOI] [PubMed] [Google Scholar]
- 222.Singal AG et al. GALAD demonstrates high sensitivity for HCC surveillance in a cohort of patients with cirrhosis. Hepatology 75, 541–549 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Singal AG et al. Doylestown plus and GALAD demonstrate high sensitivity for HCC detection in patients with cirrhosis. Clin. Gastroenterol. Hepatol 20, 953 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Best J. et al. GALAD score detects early hepatocellular carcinoma in an international cohort of patients with nonalcoholic steatohepatitis. Clin. Gastroenterol. Hepatol 18, 728 (2020). [DOI] [PubMed] [Google Scholar]
- 225.Tayob N, Kanwal F, Alsarraj A, Hernaez R. & El-Serag HB The performance of AFP, AFP-3, DCP as biomarkers for detection of hepatocellular carcinoma (HCC): a phase 3 biomarker study in the United States. Clin. Gastroenterol. Hepatol 21, 415–423.e4 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226.Lok AS et al. Des-γ-carboxy prothrombin and α-fetoprotein as biomarkers for the early detection of hepatocellular carcinoma. Gastroenterology 138, 493–502 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227.Chen L. et al. Cell-free DNA testing for early hepatocellular carcinoma surveillance. eBioMedicine 100, 104962 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Chalasani NP et al. Validation of a novel multitarget blood test shows high sensitivity to detect early stage hepatocellular carcinoma. Clin. Gastroenterol. Hepatol 20, 173 (2022). [DOI] [PubMed] [Google Scholar]
- 229.Lin N. et al. A multi-analyte cell-free DNA-based blood test for early detection of hepatocellular carcinoma. Hepatol. Commun 6, 1753–1763 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.Oussalah A. et al. Plasma mSEPT9: a novel circulating cell-free DNA-based epigenetic biomarker to diagnose hepatocellular carcinoma. J. Hepatol 68, S113–S114 (2018). [Google Scholar]
- 231.Singal AG et al. International liver cancer association (ILCA) white paper on biomarker development for hepatocellular carcinoma. Gastroenterology 160, 2572–2584 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Sun N. et al. Purification of HCC-specific extracellular vesicles on nanosubstrates for early HCC detection by digital scoring. Nat. Commun 11, 4489 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.von Felden J. et al. Unannotated small RNA clusters associated with circulating extracellular vesicles detect early stage liver cancer. Gut 71, 2069–2080 (2022). [Google Scholar]
- 234.Calderaro J, Zigutyté L, Truhn D, Jaffe A. & Kather JN Artificial intelligence in liver cancer — new tools for research and patient management. Nat. Rev. Gastroenterol. Hepatol 21, 585–599 (2024). [DOI] [PubMed] [Google Scholar]
- 235.Calderaro J, Seraphin TP, Luedde T. & Simon TG Artificial intelligence for the prevention and clinical management of hepatocellular carcinoma. J. Hepatol 76, 1348–1361 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Cappuyns S, Corbett V, Yarchoan M, Finn RS & Llovet JM Critical appraisal of guideline recommendations on systemic therapies for advanced hepatocellular carcinoma: a review. JAMA Oncol. 10, 395–404 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Llovet JM et al. Molecular pathogenesis and systemic therapies for hepatocellular carcinoma. Nat. Cancer 3, 386–401 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Llovet JM et al. Adjuvant and neoadjuvant immunotherapies in hepatocellular carcinoma. Nat. Rev. Clin. Oncol 21, 294–311 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239.Llovet JM et al. Locoregional therapies in the era of molecular and immune treatments for hepatocellular carcinoma. Nat. Rev. Gastroenterol. Hepatol 18, 293–313 (2021). [DOI] [PubMed] [Google Scholar]
- 240.Vogel A, Meyer T, Sapisochin G, Salem R. & Saborowski A. Hepatocellular carcinoma. Lancet 400, 1345–1362 (2022). [DOI] [PubMed] [Google Scholar]
- 241.Kudo M. et al. Lenvatinib plus pembrolizumab versus lenvatinib alone as first-line therapy for advanced hepatocellular carcinoma: Longer-term efficacy and safety results from the phase 3 LEAP-002 study. J. Clin. Oncol 42, 482–482 (2024). [DOI] [PubMed] [Google Scholar]
- 242.Young S. et al. Transarterial chemoembolization of hepatocellular carcinoma: propensity score matching study comparing survival and complications in patients with nonalcoholic steatohepatitis versus other causes cirrhosis. Cardiovasc. Inter. Rad 43, 65–75 (2020). [Google Scholar]
- 243.Schotten C. et al. NAFLD-associated comorbidities in advanced stage HCC do not alter the safety and efficacy of Yttrium-90 radioembolization. Liver Cancer 8, 491–504 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244.Finn RS et al. Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma. N. Engl. J. Med 382, 1894–1905 (2020). [DOI] [PubMed] [Google Scholar]
- 245.Abou-Alfa GK et al. Tremelimumab plus durvalumab in unresectable hepatocellular carcinoma. NEJM Evid. 1, EVIDoa2100070 (2022). [DOI] [PubMed] [Google Scholar]
- 246.Cheng AL et al. Updated efficacy and safety data from IMbrave150: atezolizumab plus bevacizumab vs. sorafenib for unresectable hepatocellular carcinoma. J. Hepatol 76, 862–873 (2022). [DOI] [PubMed] [Google Scholar]
- 247.Llovet JM et al. Sorafenib in advanced hepatocellular carcinoma. N. Engl. J. Med 359, 378–390 (2008). [DOI] [PubMed] [Google Scholar]
- 248.Kudo M. et al. Lenvatinib versus sorafenib in first-line treatment of patients with unresectable hepatocellular carcinoma: a randomised phase 3 non-inferiority trial. Lancet 391, 1163–1173 (2018). [DOI] [PubMed] [Google Scholar]
- 249.Ren ZG et al. Tebotelimab, a PD-1/LAG-3 bispecific antibody, in patients with advanced hepatocellular carcinoma who had failed prior targeted therapy and/or immunotherapy: An open-label, single-arm, phase 1/2 dose-escalation and expansion study. J. Clin. Oncol 41, 578–578 (2023). [Google Scholar]
- 250.Xing BC, Da X, Zhang YQ & Ma Y. A phase II study combining KN046 (an anti-PD-L1/CTLA-4 bispecific antibody) and lenvatinib in the treatment for advanced unresectable or metastatic hepatocellular carcinoma (HCC): updated efficacy and safety results. J. Clin. Oncol 40, 4115 (2022). [Google Scholar]
- 251.Qiao Q. et al. The efficacy and safety of cadonilimab combined with lenvatinib for first-line treatment of advanced hepatocellular carcinoma (COMPASSION-08): a phase Ib/II single-arm clinical trial. Front. Immunology 14, 1238667 (2023). [Google Scholar]
- 252.Qi Q. A study of cadonilimab combined with regorafenib as second-line or later therapy in patients with advanced hepatocellular carcinoma (aHCC). J. Clin. Oncol 41, e16154 (2023). [Google Scholar]
- 253.Liang G. et al. The efficacy and safety of transarterial chemoembolization combined with cadonilimab and lenvatinib for unresectable hepatocellular carcinoma: a phase II clinical trial. J. Clin. Oncol 42, 478–478 (2024). [Google Scholar]
- 254.Haber PK et al. Evidence-based management of hepatocellular carcinoma: systematic review and meta-analysis of randomized controlled trials (2002–2020). Gastroenterology 161, 879–898 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255.Wu YL et al. Impact of underlying liver disease on unresectable hepatocellular carcinoma treated with immune checkpoint inhibitors. BJC Rep. 2, 8 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 256.Meyer T, Galani S, Lopes A. & Vogel A. Aetiology of liver disease and response to immune checkpoint inhibitors: An updated meta-analysis confirms benefit in those with non-viral liver disease. J. Hepatol 79, e73–e76 (2023). [DOI] [PubMed] [Google Scholar]
- 257.Zhu W. et al. A novel engineered IL-21 receptor arms T-cell receptor-engineered T cells (TCR-T cells) against hepatocellular carcinoma. Signal. Transduct. Target. Ther 9, 101 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 258.Wabitsch S. et al. Metformin treatment rescues CD8+ T-cell response to immune checkpoint inhibitor therapy in mice with NAFLD. J. Hepatol 77, 748–760 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 259.Reck M. et al. Pembrolizumab versus chemotherapy for PD-L1-positive non-small-cell lung cancer. N. Engl. J. Med 375, 1823–1833 (2016). [DOI] [PubMed] [Google Scholar]
- 260.Le DT et al. PD-1 blockade in tumors with mismatch-repair deficiency. N. Engl. J. Med 372, 2509–2520 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 261.Le DT et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 357, 409–413 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 262.Yarchoan M, Hopkins A. & Jaffee EM Tumor mutational burden and response rate to PD-1 inhibition. N. Engl. J. Med 377, 2500–2501 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263.Doroshow DB et al. PD-L1 as a biomarker of response to immune-checkpoint inhibitors. Nat. Rev. Clin. Oncol 18, 345–362 (2021). [DOI] [PubMed] [Google Scholar]
- 264.Yi M. et al. Biomarkers for predicting efficacy of PD-1/PD-L1 inhibitors. Mol. Cancer 17, 129 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 265.Wong CN et al. Qualification of tumour mutational burden by targeted next-generation sequencing as a biomarker in hepatocellular carcinoma. Liver Int. 41, 192–203 (2021). [DOI] [PubMed] [Google Scholar]
- 266.Brudno JN & Kochenderfer JN Current understanding and management of CAR T cell-associated toxicities. Nat. Rev. Clin. Oncol 21, 501–521 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 267.Wu D. & Li Y. Application of adoptive cell therapy in hepatocellular carcinoma. Immunology 170, 453–469 (2023). [DOI] [PubMed] [Google Scholar]
- 268.Goebeler ME, Stuhler G. & Bargou R. Bispecific and multispecific antibodies in oncology: opportunities and challenges. Nat. Rev. Clin. Oncol 21, 539–560 (2024). [DOI] [PubMed] [Google Scholar]
- 269.Xie CQ et al. A phase I study of GPC3 targeted CAR-T cell therapy in advanced GPC3-expressing hepatocellular carcinoma (HCC). J. Clin. Oncol 41, Tps624 (2023). [Google Scholar]
- 270.Fu Q. et al. RUNX-3-expressing CAR T cells targeting glypican-3 in patients with heavily pretreated advanced hepatocellular carcinoma: a phase I trial. EClinicalMedicine 63, 102175 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271.Du KX et al. A bispecific antibody targeting GPC3 and CD47 induced enhanced antitumor efficacy against dual antigen-expressing HCC. Mol. Ther 29, 1572–1584 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 272.Sun RX et al. GPC3-targeted CAR-T cells expressing GLUT1 or AGK exhibit enhanced antitumor activity against hepatocellular carcinoma. Acta Pharmacol. Sin 45, 1937–1950 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 273.Sayour EJ, Boczkowski D, Mitchell DA & Nair SK Cancer mRNA vaccines: clinical advances and future opportunities. Nat. Rev. Clin. Oncol 21, 489–500 (2024). [DOI] [PubMed] [Google Scholar]
- 274.Rojas LA et al. Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer. Nature 618, 144–150 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 275.Peng S. et al. Combination neoantigen-based dendritic cell vaccination and adoptive T-cell transfer induces antitumor responses against recurrence of hepatocellular carcinoma. Cancer Immunol. Res 10, 728–744 (2022). [DOI] [PubMed] [Google Scholar]
- 276.Yarchoan M. et al. Personalized neoantigen vaccine and pembrolizumab in advanced hepatocellular carcinoma: a phase 1/2 trial. Nat. Med 30, 1044–1053 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 277.Sydor S. et al. Altered microbiota diversity and bile acid signaling in cirrhotic and noncirrhotic NASH-HCC. Clin. Transl. Gastroenterol 11, e00131 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 278.Ponziani FR et al. Hepatocellular carcinoma is associated with gut microbiota profile and inflammation in nonalcoholic fatty liver disease. Hepatology 69, 107–120 (2019). [DOI] [PubMed] [Google Scholar]
- 279.Ferrere G. et al. Fecal microbiota manipulation prevents dysbiosis and alcohol-induced liver injury in mice. J. Hepatol 66, 806–815 (2017). [DOI] [PubMed] [Google Scholar]
- 280.Arab JP, Arrese M. & Shah VH Gut microbiota in non-alcoholic fatty liver disease and alcohol-related liver disease: current concepts and perspectives. Hepatol. Res 50, 407–418 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 281.Schwabe RF & Greten TF Gut microbiome in HCC — mechanisms, diagnosis and therapy. J. Hepatol 72, 230–238 (2020). [DOI] [PubMed] [Google Scholar]
- 282.Chan SL et al. The Lancet Commission on addressing the global hepatocellular carcinoma burden: comprehensive strategies from prevention to treatment. Lancet 406, 731–778 (2025). [DOI] [PubMed] [Google Scholar]
- 283.Buch S. et al. Genetic variation in TERT modifies the risk of hepatocellular carcinoma in alcohol-related cirrhosis: results from a genome-wide case-control study. Gut 72, 381–391 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 284.Gallage S. et al. A researcher’s guide to preclinical mouse NASH models. Nat. Metab 4, 1632–1649 (2022). [DOI] [PubMed] [Google Scholar]
- 285.Nevzorova YA, Boyer-Diaz Z, Cubero FJ & Gracia-Sancho J. Animal models for liver disease — a practical approach for translational research. J. Hepatol 73, 423–440 (2020). [DOI] [PubMed] [Google Scholar]
- 286.Ganguly S. et al. Nonalcoholic steatohepatitis and HCC in a hyperphagic mouse accelerated by Western diet. Cell Mol. Gastroenterol. Hepatol 12, 891–920 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 287.Nakagawa H. et al. ER stress cooperates with hypernutrition to trigger TNF-dependent spontaneous HCC development. Cancer Cell 26, 331–343 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 288.Horie Y. et al. Hepatocyte-specific Pten deficiency results in steatohepatitis and hepatocellular carcinomas. J. Clin. Invest 113, 1774–1783 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 289.Crabbe JC, Harris RA & Koob GF Preclinical studies of alcohol binge drinking. Ann. N. Y. Acad. Sci 1216, 24–40 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 290.Cao P, Chao X, Ni HM & Ding WX An update on animal models of alcohol-associated liver disease. Am. J. Pathol 196, 4–19 (2026). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 291.Bertola A, Mathews S, Ki SH, Wang H. & Gao B. Mouse model of chronic and binge ethanol feeding (the NIAAA model). Nat. Protoc 8, 627–637 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 292.Seitz HK & Stickel F. Molecular mechanisms of alcohol-mediated carcinogenesis. Nat. Rev. Cancer 7, 599–612 (2007). [DOI] [PubMed] [Google Scholar]
- 293.Lange NF, Radu P. & Dufour JF Prevention of NAFLD-associated HCC: role of lifestyle and chemoprevention. J. Hepatol 75, 1217–1227 (2021). [DOI] [PubMed] [Google Scholar]
- 294.Younossi ZM, Zelber-Sagi S, Henry L. & Gerber LH Lifestyle interventions in nonalcoholic fatty liver disease. Nat. Rev. Gastroenterol. Hepatol 20, 708–722 (2023). [DOI] [PubMed] [Google Scholar]
- 295.Vilar-Gomez E. et al. Weight loss through lifestyle modification significantly reduces features of nonalcoholic steatohepatitis. Gastroenterology 149, 367–378.e5 (2015). [DOI] [PubMed] [Google Scholar]
- 296.Sirico F. et al. Effects of physical exercise on adiponectin, leptin, and inflammatory markers in childhood obesity: systematic review and meta-analysis. Child. Obes 14, 207–217 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 297.Harrison SA & Day CP Benefits of lifestyle modification in NAFLD. Gut 56, 1760–1769 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 298.Clifton KK, Ma CX, Fontana L. & Peterson LL Intermittent fasting in the prevention and treatment of cancer. CA Cancer J. Clin 71, 527–546 (2021). [DOI] [PubMed] [Google Scholar]
- 299.Varkaneh HK et al. Effects of the 5:2 intermittent fasting diet on non-alcoholic fatty liver disease: a randomized controlled trial. Front. Nutr 9, 948655 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 300.Romero-Gómez M, Zelber-Sagi S. & Trenell M. Treatment of NAFLD with diet, physical activity and exercise. J. Hepatol 67, 829–846 (2017). [DOI] [PubMed] [Google Scholar]
- 301.Kawanishi N. et al. Exercise training attenuates hepatic inflammation, fibrosis and macrophage infiltration during diet induced-obesity in mice. Brain Behav. Immun 26, 931–941 (2012). [DOI] [PubMed] [Google Scholar]
- 302.Diaz LA et al. New insights into the molecular basis of alcohol abstinence and relapse in alcohol-associated liver disease. Hepatology 82, 254–271 (2025). [DOI] [PubMed] [Google Scholar]
- 303.Oneta CM et al. Dynamics of cytochrome P4502E1 activity in man: induction by ethanol and disappearance during withdrawal phase. J. Hepatol 36, 47–52 (2002). [DOI] [PubMed] [Google Scholar]
- 304.Hofer BS et al. Alcohol abstinence improves prognosis across all stages of portal hypertension in alcohol-related cirrhosis. Clin. Gastroenterol. Hepatol 21, 2308–2317.e7 (2023). [DOI] [PubMed] [Google Scholar]


