Outcomes Of Hepatocellular Carcinoma Patients Research Articles

Real-world experience and outcomes of hepatocellular carcinoma (HCC) treated with transarterial radioembolization (TARE).

463 Background: TARE has been the preferred choice of locoregional therapy to advanced HCC in recent years. We attempted to identify factors contributing to the success of TARE in this retrospective review. Methods: HCC patients who received at least one TARE between 1/1/2015 and 8/30/22 at Ohio State University were included in this study. The patient's baseline characteristics at diagnosis (BLC) were extracted by chart review with post-procedural complications and survival outcomes. Descriptive statistics and log-rank test for survival outcomes were conducted using JMP Pro 16 (SAS Institute Inc., Cary, NC). Results: Our cohort had 144 patients with median age of diagnosis (dx) of 65 years, 81 % Caucasians, 81% males, 5% and 51% with hepatitis B and C, respectively; 24% and 21% ascites (As) and hepatic encephalopathy (HE) at dx, respectively; 72% (n=125) had just one procedure (24 had two planned procedures which were considered as 1), 12% (17) and 1% (2) had second and third procedures for recurrence, respectively. Immune checkpoint inhibitor (ICI) and other systemic therapy (tyrosine kinase inhibitor (TKI) or ramucirumab (Ram)) were given to 27% (5 before and 34 after TARE) and 24% (5 before and 30 after TARE), respectively. Other HCC-related BLC includes the number of lesions 1 vs 2-3 vs multiple = 45% vs 33% vs 22%; single lobe vs two lobes = 66 vs 33%; portal vein tumor thrombosis (PVTT) = in main portal vein vs. non-main veins (left or right or lower level) vs no PVTT = 14% vs 10% vs 76%. Median overall survival (OS) and time to recurrence after the first TARE (TTR) were 11 and 4 months (m), respectively. The only BLC that significantly influenced TTR was As (3 vs 4 m, p=0.008). Factors impacting OS were discussed in the table. Follow-up imaging (median = 3m) was available for response evaluation in 107/144 (indeterminate response (IR) reported in 25), and the response noted was reflective of OS (objective response vs. disease progression vs indeterminate, 22 vs 6 vs 8.5 m, p<0.001). Conclusions: Careful patient selection based on BLC and the use of ICI (before or after) could improve the outcomes in HCC patients treated with TRAE. Larger prospective studies are needed to validate the study. [Table: see text]

Comparing resection and stereotactic body radiation therapy for hepatocellular carcinoma with macrovascular invasion: A propensity score matched study.

521 Background: Macrovascular invasion (MVI) in hepatocellular carcinoma (HCC) patients is a poor prognostic factor. Current guidelines endorse systemic therapy for MVI. Local therapies present a potential for obliteration of MVI and improved survival. Surgery has been the standard local therapy at our institution, and stereotactic body radiotherapy (SBRT) has emerged as an alternative local therapy for this patient population. Methods: In this retrospective study, one-to-one optimal pair propensity score matching was used to compare outcomes of HCC patients with MVI who underwent surgery or received SBRT. Matching was done based on sex, age, ECOG, cirrhosis presence, Child-Pugh class, number of tumours, tumour volume, alpha-fetoprotein level, ALBI score, Japanese Classification of portal vein invasion, and hepatic vein invasion. Overall survival was estimated using the Kaplan-Meier method and between group differences determined using the log-rank test. The cumulative incidence of recurrence, accounting for the competing risk of death, was compared using Gray’s test. Results: Ninety of 193 patients were included after matching (45 patients in both the surgery and SBRT groups) (Table). The SBRT group had a median OS of 15 months (95% CI: 10-38), while in the surgery group it was 24 months (95% CI: 11-81). Comparing the 12-, 36-, and 60-month overall survival (OS) rates between the SBRT group (57%, 33%, 15%) and the surgery group (58%, 37%, 34%), there was no statistically significant differences (p=0.16); the 5-year OS was double in the surgical resection group. The 12-, 36-, and 60-month cumulative incidence of HCC recurrence in the SBRT group (47%, 73%, 75%) was comparable to the surgery group (69%, 69%, 69%) (p=0.89). Conclusions: Long term survival is possible in patients with HCC and MVI in a substantial minority of patients with HCC and MVI treated with local therapies. There was no statistical difference in outcomes; however, surgical resection resulted in numerically longer survival outcomes compared to SBRT after propensity score adjustment. There is rationale for investigating both local therapies with systemic therapies in future clinical trials. [Table: see text]

Safety of nighttime elective hepatectomy for hepatocellular carcinoma patients: a retrospective study.

This study aimed to investigate whether nighttime elective surgery influenced the short-term outcomes and prognosis of hepatocellular carcinoma (HCC) patients. The 1,339 HCC patients who underwent hepatectomy were divided into the daytime surgery group (8 a.m.-6 p.m., n = 1,105) and the nighttime surgery group (after 6 p.m., n = 234) based on the start time of surgery. The 1:2 propensity score matching (PSM) analysis was used to control confounding factors. The short-term outcomes of HCC patients in the 2 groups were compared before and after PSM. Factors associated with major complications (Clavien-Dindo grade, ≥III) and textbook oncologic outcomes (TOO) were separately identified by multivariable logistic regression based on variables screened via least absolute shrinkage and selection operator (LASSO). The Kaplan-Meier method was used to analyze overall survival (OS) and recurrence-free survival (RFS). TOO was achieved after surgery in 897 HCC patients. HCC patients in the nighttime surgery group had a higher body mass index (P = 0.010). After 1:2 PSM, the baseline characteristics of patients between the 2 groups were similar. Short-term outcomes in HCC patients were comparable both before and after PSM (all Ps > 0.05), as were TOO in the 2 groups before (P = 0.673) and after PSM (P = 0.333). In our LASSO-logistic regression, nighttime surgery was not an independent factor associated with major complications or TOO. Both groups also had similar OS (P = 0.950) and RFS (P = 0.740) after PSM. Our study revealed the safety of nighttime elective hepatectomy for HCC patients.

Predictive Biomarkers of Immune Checkpoint Inhibitor-Based Mono- and Combination Therapies for Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is among the most frequent and deadly human cancers worldwide. It has been shown that interaction between immune checkpoint receptors and ligands plays a crucial role in inhibition of T cell-mediated anti-tumor immune responses, thereby assisting tumor cells to evade the host immune surveillance. Therefore, several immune checkpoint inhibitors (ICIs) that selectively block immune checkpoint receptors or ligands have been developed as clinically effective and safe immunotherapeutic agents for treating HCC, including the inhibitors targeting cytotoxic T lymphocyte-associated antigen 4, programmed death 1, and programmed death ligand 1. In addition, various combinations of ICIs and other ICIs or tyrosine kinase inhibitors or vascular endothelial growth factor inhibitors have also emerged as clinically beneficial treatments for HCC. However, the overall response rates of ICI mono-therapy and combination therapy in HCC patients remain unsatisfied, highlighting the urgent need for discovering valuable predictive biomarkers to achieve personalized therapy. This review comprehensively summarizes the literature-based evidence validating a variety of biomarkers with predictive significance for treatment responses and outcomes in HCC patients receiving various ICI-based mono- and combination therapies.

Comprehensive Analysis of the Immunosuppressive Function of Regulatory T Cells in Human Hepatocellular Carcinoma Tissues.

Immune-based therapies are commonly employed to combat hepatocellular carcinoma (HCC). However, the presence of immune-regulating elements, especially regulatory T cells (Tregs), can dramatically impact the treatment efficacy. A deeper examination of the immune-regulation mechanisms linked to these inhibitory factors and their impact on HCC patient outcomes is warranted. We employed multicolor fluorescence immunohistochemistry (mIHC) to stain Foxp3, cytokeratin, and nuclei on an HCC tissue microarray (TMA). Leveraging liver cancer transcriptome data from TCGA, we built a prognostic model focused on Treg-associated gene sets and represented it with a nomogram. We then sourced liver cancer single-cell RNA sequencing data (GSE140228) from the GEO database, selectively focusing on Treg subsets, and conducted further analyses, including cell-to-cell communication and pseudo-time trajectory examination. Our mIHC results revealed a more substantial presence of Foxp3+Tregs in HCC samples than in adjacent normal tissue samples (P < .001). An increased presence of Foxp3+Tregs in HCC samples correlated with unfavorable patient outcomes (HR = 1.722, 95% CI:1.023-2.899, P = .041). The multi-factorial prognosis model we built from TCGA liver cancer data highlighted Tregs as a standalone risk determinant for predicting outcomes (HR = 3.84, 95% CI:2.52-5.83, P < .001). Re-analyzing the scRNA-seq dataset (GSE140228) showcased distinctive gene expression patterns in Tregs from varying tissues. Interactions between Tregs and other CD4+T cell types were predominantly governed by the CXCL13/CXCR3 signaling pathway. Communication pathways between Tregs and macrophages primarily involved MIF-CD74/CXCR4, LGALS9/CD45, and PTPRC/MRC1. Additionally, macrophages could influence Tregs via HLA-class II and CD4 interactions. An elevated presence of Tregs in HCC samples correlated with negative patient outcomes. Elucidating the interplay between Tregs and other immune cells in HCC could provide insights into the modulatory role of Tregs within HCC tissues.

The Effect of Microvascular Invasion on Hepatocellular Carcinoma With Portal Vein Tumor Thrombus After Hepatectomy: A Retrospective Study.

There is no report resolving whether microvascular invasion (MVI) affects the prognosis of hepatectomy for hepatocellular carcinoma (HCC) patients with portal vein tumor thrombus (PVTT). The present study aimed to investigate the effect of MVI on HCC with PVTT after hepatectomy. 362 HCC patients with PVTT were included in this retrospective study. Diagnostic criteria of PVTT in HCC patients were based on typical preoperative radiological features on imaging studies. The log-rank test was utilized to differentiate overall survival (OS) and recurrence-free survival (RFS) rates between the two groups. Univariate and multivariate Cox proportional hazard regression was utilized to detect independent factors. PVTT without MVI accounted for 12.2% (n = 44). PVTT without MVI groups was significantly superior to PVTT with MVI groups in OS (the median survival = 27.1 months vs 13.7 months) and RFS (the median survival = 6.4 months vs 4.1 months). The 1-, 3-, and 5-year OS rates (65.5%, 36.8%, 21.7% vs 53.5%, 18.7%, 10.1%, P = .014) and RFS rates (47.0%, 29.7%, 19.2% vs 28.7%, 12.2%, 6.9%, P = .005) were significant different between two groups. Multivariate analysis showed that MVI was an independent risk factor for OS (hazard ratio (HR) = 1.482; P-value = .045) and RFS (HR = 1.601; P-value = .009). MVI was an independent prognostic factor closely linked to tumor recurrence and poorer clinical outcomes for HCC patients with PVTT after hepatectomy. MVI should be included in current PVTT systems to supplement to the PVTT type.

Cost-effectiveness analysis of durvalumab plus tremelimumab as first-line therapy in patients with unresectable hepatocellular carcinoma

Background: The HIMALAYA trial found that durvalumab plus tremelimumab significantly prolonged progression-free survival and overall survival in patients with unresectable hepatocellular carcinoma (HCC) compared with sorafenib. Objective: This study aimed to investigate the cost-effectiveness of durvalumab plus tremelimumab compared with sorafenib in the first-line HCC setting. Design: A Markov model-based cost-effectiveness analysis. Methods: We created a Markov model to compare healthcare costs and clinical outcomes of HCC patients treated with durvalumab plus tremelimumab in the first-line setting compared with sorafenib. We estimated transition probabilities from randomized trials. Lifetime direct healthcare costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios were calculated for first-line durvalumab plus tremelimumab compared with sorafenib from a US payer’s perspective. Results: In the base case, first-line durvalumab plus tremelimumab was associated with an improvement of 0.29 QALYs compared with sorafenib. While both treatment strategies were associated with considerable lifetime expenditures, first-line durvalumab plus tremelimumab was less expensive than sorafenib ($188,405 vs $218,584). The incremental net monetary benefit for durvalumab plus tremelimumab versus sorafenib was $72,762 (valuing QALYs at $150,000 each). The results of durvalumab plus tremelimumab were better in terms of costs and health outcomes in patients with HBV-related HCC and high alpha-fetoprotein levels. Conclusion: First-line durvalumab plus tremelimumab was estimated to be dominant for the treatment of unresectable HCC compared with sorafenib from a US payer’s perspective.

High tumor burden score indicated the unfavorable prognosis in patients with hepatocellular carcinoma: A meta-analysis.

Tumor burden score (TBS) based on maximum tumor diameter and number has been shown to correlate with prognosis in patients with hepatocellular carcinoma (HCC). Nevertheless, the results are conflicting. Hence, we conducted a meta-analysis to analyze the association between TBS and survival outcomes of HCC patients. A comprehensively search of the databases including PubMed, Embase and Web of Science was performed to retrieve studies satisfying the inclusion criteria until August 31, 2023. The hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. All the data analyses were carried out by STATA 12.0. 10 retrospective studies containing 25073 patients were incorporated in the study. The results demonstrated that high TBS was markedly association with poor overall survival (OS) (HR: 1.79, 95% CI: 1.45-2.23) and relapse-free survival / progression-free survival(RFS/PFS) (HR: 1.71; 95% CI: 1.42-2.07). Subgroup analysis showed that the prognostic value of TBS in HCC was not affected by any subgroup. TBS may be an efficient prognostic index in HCC patients.

Advancements in Molecular Imaging for the Diagnosis and Management of Hepatocellular Carcinoma

Hepatocellular Carcinoma (HCC) is a growing global health burden with high incidence and mortality rates. Despite advances in surgical techniques and perioperative care, outcomes after surgical treatment have not improved over the past three decades. Molecular imaging is an emerging field that enables researchers to study diseases at the molecular and cellular levels, enabling the detection of elevated serum α-fetoprotein (AFP) and abnormal expressions of various HCC-specific and nonspecific cell surface antigens and intracellular targets. Molecular imaging techniques detect liver lesions at the molecular and cellular level, allowing early detection and accurate staging of HCC. Positron emission tomography (PET) imaging offers greater sensitivity and specificity, while hepatobiliary-specific radiotracers with SPECT imaging provide insights into benign and malignant lesion differentiation. Radiomics and artificial intelligence are vital in deciphering molecular imaging data, with machine learning algorithms boosting diagnostic gains and predicting treatment response. Theranostics, a state-of-the-art application, provides diagnostic and therapeutic leverage following a single imaging agent. By understanding tumor biology in real time, radiopharmaceuticals can be transformed into personalized radiotherapies, enabling clinicians to make science-driven decisions throughout the illness. Future directions include developing novel radiotracers and integrating AI into clinical decision-making. Collaboration between academic researchers, clinicians, and industry colleagues is crucial to converting exciting advances into improved clinical outcomes for HCC patients.

Antibiotic Exposure Concurrently with Anti-PD1 Blockade Therapy Reduces Overall Survival in Patients with Child-Pugh Class A Advanced Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer death worldwide with a poor prognosis. Treatment with immune checkpoint inhibitors (ICIs) has improved overall survival in patients with HCC. However, not all patients benefit from the treatment. In this study, 59 patients with HCC were enrolled from two medical centers in Saudi Arabia, with 34% using antibiotics concurrently with their Nivolumab (anti-PD1 blockade). The impact of antibiotic use on the clinical outcomes of patients with HCC undergoing treatment with anti-PD1 blockade was examined. The patients' overall survival (OS) was 5 months (95% CI: 3.2, 6.7) compared to 10 months (95% CI: 0, 22.2) (p = 0.08). Notably, patients with Child-Pugh A cirrhosis receiving anti-PD1 blockade treatment without concurrent antibiotic use showed a significantly longer median OS reaching 22 months (95% CI: 6.5, 37.4) compared to those who were given antibiotics with a median OS of 6 months (95% CI: 2.7, 9.2) (p = 0.02). This difference in overall survival was particularly found in Child-Pugh class A patients receiving anti-PD1 blockade. These findings suggest that antibiotic use may negatively affect survival outcomes in HCC patients undergoing anti-PD1 blockade, potentially due to antibiotic-induced alterations to the gut microbiome impacting the anti-PD1 blockade response. This study suggests the need for careful consideration when prescribing antibiotics to patients with HCC receiving anti-PD1 blockade.

Bifidobacterium longum promotes postoperative liver function recovery in patients with hepatocellular carcinoma

Timely liver function recovery (LFR) is crucial for postoperative hepatocellular carcinoma (HCC) patients. Here, we established the significance of LFR on patient long-term survival through retrospective and prospective cohorts and identified a key gut microbe, Bifidobacterium longum, depleted in patients with delayed recovery. Fecal microbiota transfer from HCC patients with delayed recovery to mice similarly impacted recovery time post hepatectomy. However, oral gavage of B.longum improved liver function and repair in these mice. In a clinical trial of HCC patients, orally administering a probiotic bacteria cocktail containing B.longum reduced the rates of delayed recovery, shortened hospital stays, and improved overall 1-year survival. These benefits, attributed to diminished liver inflammation, reduced liver fibrosis, and hepatocyte proliferation, were associated with changes in key metabolic pathways, including 5-hydroxytryptamine, secondary bile acids, and short-chain fatty acids. Our findings propose that gut microbiota modulation can enhance LFR, thereby improving postoperative outcomes for HCC patients.

Inhibiting cholesterol de novo synthesis promotes hepatocellular carcinoma progression by upregulating prostaglandin E synthase 2-mediated arachidonic acid metabolism under high fatty acid conditions.

Inhibition of cholesterol de novo synthesis (DNS) by statins has controversial effects on the treatment of hepatocellular carcinoma (HCC). High fatty acid conditions have been reported to limit the effect of statins on metabolism diseases. Whether high fatty acid conditions interfere with the effect of statins on HCC remains unclear. Here, we reported that inhibiting cholesterol DNS with atorvastatin promoted the oncogenic capabilities of diethylnitrosamine (DEN) in mice fed high fatty acid diets (HFD). The combined analysis of metabolomics and transcriptomics revealed that arachidonic acid (AA) metabolism was the most significant changed pathway between mice with and without atorvastatin treatment. Invitro, in the presence of AA precursor linoleic acid (LA), atorvastatin promoted the proliferation and migration ability of HCC cell lines. However, in the absence of LA, these phenomena disappeared. TCGA and tissue microarray examination revealed that prostaglandin e synthase 2 (PTGES2), a key enzyme in AA metabolism, was associated with the poor outcome of HCC patients. Overexpression of PTGES2 promoted the proliferation and migration of HCC cell lines, and knockdown of PTGES2 inhibited the proliferation and migration of cells. Additionally, atorvastatin upregulated PTGES2 expression by enhancing Sterol-regulatory element binding protein 2 (SREBP2)-mediated transcription. Knockdown of PTGES2 reversed the proliferation and migration ability enhanced by atorvastatin. Overall, our study reveals that a high fatty acid background is one of the possible conditions limiting the application of statins in HCC, under which statins promote the progression of HCC by enhancing SREBP2-mediated PTGES2 transcription.

Comprehensive analysis of m6A reader YTHDF2 prognosis, immune infiltration, and related regulatory networks in hepatocellular carcinoma

BackgroundN6-Methyladenosine (m6A) RNA modification is the most prevalent internal modification pattern in eukaryotic mRNAs and plays critical roles in diverse physiological and pathological processes. However, the expression of m6A regulator YTHDF2, its prognostic value, its biological function, its correlation with tumor microenvironment (TME) immune infiltrates, and related regulatory networks in hepatocellular carcinoma (HCC) remain determined. MethodsTCGA, GTEx, and GEO databases were used to investigate the expression profile of YTHDF2 in HCC. We performed differentially expressed genes (DEGs) analysis and constructed a PPI network to explore the biological processes of YTHDF2 in HCC. Kaplan-Meier curves and Cox regression analysis were used to assess the prognostic value of YTHDF2 and then a clinical prognostic nomogram was constructed. Additionally, ssGSEA was performed to assess the correlation between YTHDF2 and immune infiltration levels. The TISIDB database was applied to explore the expression of YTHDF2 in immune and molecular subtypes of HCC. GSEA identifies the YTHDF2-related signaling pathways. Finally, we utilized miRNet and starBase database to construct regulatory networks for HCC based on lncRNA-miRNA and miRNA-YTHDF2 interactions. ResultsYTHDF2 was significantly upregulated in HCC tumor tissues compared with the adjacent normal tissues. HCC patients in the high YTHDF2 expression group had poorer survival. Multivariate Cox analysis suggested that YTHDF2 may be a new independent prognostic indicator for HCC patients, with the prognostic nomogram exhibiting satisfactory results. YTHDF2 expression was significantly correlated with TME immune cell-infiltrating characteristics. Strong correlations were also shown in immune subtypes, molecular subtypes and immune checkpoints. Further analysis revealed that the combination of YTHDF2 expression and immune cell score was considerably associated with survival outcome in HCC patients. GESA analysis demonstrated that high YTHDF2 expression is associated with multiple biological processes and oncogenic pathways. Moreover, 14 possible regulatory networks were constructed, which are associated with HCC progression. ConclusionOur findings revealed that YTHDF2 may serve as a promising prognostic biomarker for HCC and may regulate the tumor immune microenvironment to provide effective therapeutic strategies.

Hepatocellular carcinoma immune prognosis score predicts the clinical outcomes of hepatocellular carcinoma patients receiving immune checkpoint inhibitors

ObjectiveThe predictive biomarkers of immune checkpoint inhibitors (ICIs) in hepatocellular carcinoma (HCC) still need to be further explored. This study aims to establish a new immune prognosis biomarker to predict the clinical outcomes of hepatocellular carcinoma patients receiving immune checkpoint inhibitors.MethodsThe subjects of this study were 151 HCC patients receiving ICIs at Harbin Medical University Cancer Hospital from January 2018 to December 2021. This study collected a wide range of blood parameters from patients before treatment and used Cox’s regression analysis to identify independent prognostic factors in blood parameters, as well as their β coefficient. The hepatocellular carcinoma immune prognosis score (HCIPS) was established through Lasso regression analysis and COX multivariate analysis. The cut-off value of HCIPS was calculated from the receiver operating characteristic (ROC) curve. Finally, the prognostic value of HCIPS was validated through survival analysis, stratified analyses, and nomograms.ResultsHCIPS was composed of albumin (ALB) and thrombin time (TT), with a cut-off value of 0.64. There were 56 patients with HCIPS < 0.64 and 95 patients with HCIPS ≥ 0.64, patients with low HCIPS were significantly related to shorter progression-free survival (PFS) (13.10 months vs. 1.63 months, P < 0.001) and overall survival (OS) (14.83 months vs. 25.43 months, P < 0.001). HCIPS has also been found to be an independent prognostic factor in this study. In addition, the stratified analysis found a significant correlation between low HCIPS and shorter OS in patients with tumor size ≥ 5 cm (P of interaction = 0.032). The C-index and 95% CI of the nomograms for PFS and OS were 0.730 (0.680–0.779) and 0.758 (0.711–0.804), respectively.ConclusionsAs a new score established based on HCC patients receiving ICIs, HCIPS was significantly correlated with clinical outcomes in patients with ICIs and might serve as a new biomarker to predict HCC patients who cloud benefit from ICIs.

Intelectin-1 is a novel prognostic biomarker for hepatocellular carcinoma.

The molecular mechanisms of hepatocellular carcinoma (HCC) are still not well understood. Gene microarray analysis showed that the expression of Intelectin-1 (ITLN-1) in tumor-adjacent normal liver tissue was 454.8 times higher than in the corresponding cancer tissue. ITLN-1 is a secreted soluble glycoprotein which has been reported to be associated with the occurrence and development of various tumor types. However, the prognostic significance of ITLN-1 in HCC remain unclear. Real-time fluorescence quantitative polymerase chain reaction was used to investigate 149 liver cancer cases for ITLN-1 mRNA expression. Immunohistochemistry and western blot analysis were used to ascertain protein expression of ITLN-1 in cancer and para-carcinomatous tissue, and further to evaluate the correlation between ITLN-1 mRNA expression and surgical prognosis after liver resection. The ITLN-1 mRNA and protein levels were significantly higher in adjacent normal liver tissues than HCC tissues. Real-time fluorescence quantitative polymerase chain reaction showed that the ITLN-1 expression was decreased in 78.5% (117/149) of HCC tissues compared with their corresponding adjacent liver tissues. Moreover, its low expression was significantly correlated with increased tumor size, tumor differentiation degree, degree of liver cirrhosis, capsule integrity, vascular invasion and tumor recurrence. Patients with high ITLN-1 expression had significantly better overall and recurrence-free survival after curative liver resection. Multivariate cox regression analysis showed that ITLN-1 was an independent predictor of surgical outcomes in HCC patients. The present study suggested that low ITLN-1 expression was associated with poor clinical outcome for HCC patients, indicating a novel biomarker for prognosis evaluation and a potential therapeutic target for HCC patients.

Combining a deep learning model with clinical data better predicts hepatocellular carcinoma behavior following surgery

Hepatocellular carcinoma (HCC) is among the most common cancers worldwide, and tumor recurrence following liver resection or transplantation is one of the highest contributors to mortality in HCC patients after surgery. Using artificial intelligence (AI), we developed an interdisciplinary model to predict HCC recurrence and patient survival following surgery. We collected whole-slide H&E images, clinical variables, and follow-up data from 300 patients with HCC who underwent transplant and 169 patients who underwent resection at the Cleveland Clinic. A deep learning model was trained to predict recurrence-free survival (RFS) and disease-specific survival (DSS) from the H&E-stained slides. Repeated cross-validation splits were used to compute robust C-index estimates, and the results were compared to those obtained by fitting a Cox proportional hazard model using only clinical variables. While the deep learning model alone was predictive of recurrence and survival among patients in both cohorts, integrating the clinical and histologic models significantly increased the C-index in each cohort. In every subgroup analyzed, we found that a combined clinical and deep learning model better predicted post-surgical outcome in HCC patients compared to either approach independently.

BAP18 acting as a novel peroxisome proliferator-activated receptor α co-regulator contributes to hepatocellular carcinoma progression

Hepatocellular carcinoma (HCC) is a common malignancy worldwide with a poor prognosis. The therapeutic outcomes of HCC patients are urgently needed to be improved, and predictive biomarkers for the optimal treatment selection remains to be further defined. In the present study, our results showed that BPTF-associated protein of 18 KDa (BAP18) was highly expressed in HCC tissues. In cultured HCC cells, BAP18 regulated a subset of down-stream genes involved in different functions, particularly including peroxisome proliferator-activated receptor (PPAR) pathway and lipid metabolism. Furthermore, BAP18 co-activated PPARα-mediated transactivation and facilitated the recruitment of nucleosome acetyltransferase of H4 (NuA4)/tat interacting protein 60 (TIP60) complex, thereby increasing histone H4 acetylation on stearoyl-CoA desaturase 1 (SCD1) loci. In addition, BAP18 promoted HCC cell proliferation, increased intracellular lipid levels and enhanced cell survival under the metabolic stress conditions, such as glucose limitation or tyrosine kinase inhibitors (TKIs) treatment. Importantly, higher BAP18 expression was positively correlated with the postoperative recurrence and the poor disease-free survival in clinical patients receiving sorafenib treatment. Altogether, we discovered that BAP18 plays an oncogenic role in the survival and proliferation of HCC cells, and BAP18 may serve as a predictive biomarker for adjunct TKIs treatment in patients with HCC, and further facilitate the precise treatment.

HPB P03 Stereoractic ablative radiotherapy provides a safe and feasible treatment alternative for non-surgical candidates with primary hepatocellular carcinoma

Abstract Background Stereotactic ablative radiotherapy (SABR) is a highly focused radiation treatment that delivers an intense dose of radiation to a tumour whilst limiting exposure of surrounding tissues. SABR has been associated with improvement in overall survival and local control in non-surgical candidates with primary hepatocellular carcinoma (HCC). The aim of this study was to evaluate the outcomes of HCC patients treated with SABR in a tertiary referral hepatobiliary centre. Methods A total of 33 patients (median age 72 years {range 47-85}, 79% male) who received SABR for primary HCC liver lesions over a 2-year period between July 2020 and August 2022 were retrospectively analysed. Patient, treatment and follow-up details were obtained from online patient records and imaging. Patients underwent SABR either due to co-morbidity precluding surgery (23/33), lack of suitable treatment alternatives (9/33) or due to patient choice (1/33). Five patients had previously undergone liver resection, eight transarterial chemoembolisation (TACE) and three microwave ablation (MWA). Results Table 1 shows patient demographics and treatment details of the study cohort. Overall survival was 79% at a median follow-up of 12 months (range 3-25). A total of seven patients died at a median of 8 months post SABR (range 4-18). Only 10/33 (30%) reported toxicity including gastrointestinal upset (n=5), fatigue (n=4) and localised rib discomfort (n=3). No Grade 3/4 toxicities were reported. Of those where radiological outcomes were available, two thirds (20/30) achieved local control at the treatment site while local disease progression occurred in 10/30 (33%). Overall, 6/20 (20%) of patients developed metastatic disease. Conclusions These data suggest SABR is a viable, well-tolerated and potentially effective treatment for HCC in patients unsuitable for surgical therapy. Longer-term follow-up data and prospective studies, including randomised trials, are required to assess survival benefit, and optimise patient selection and dose-fractionation regimens.

Synergistic antitumor efficacy of aspirin plus lenvatinib in hepatocellular carcinoma via regulating of diverse signaling pathways

It has been established that monotherapy yields limited efficacy in treating hepatocellular carcinoma (HCC), especially advanced HCC. Increasing evidence from preclinical studies and clinical trials indicates that combining multiple drugs can potentially refine treatment efficacy. Accordingly, it is crucial to explore more effective clinically feasible combination therapies to enhance the treatment outcomes of HCC patients. This study evaluated the antitumor efficacy and safety of combination therapy involving aspirin and lenvatinib in HCC. Through in vitro and in vivo assays, we demonstrated that this combination yielded stronger antitumor effects compared to lenvatinib or aspirin monotherapy. Furthermore, no significant adverse events were observed in an HCC mouse model during treatment. Mechanistic studies revealed that aspirin plus lenvatinib could target multiple oncogenes and tumor suppressors, affecting diverse signaling pathways in various biological processes conducive to antitumor effects. Overall, our findings suggest that aspirin plus lenvatinib could serve as a promising combination regimen to improve the therapeutic outcomes of HCC.

Prognostic clinical phenotypes associated with tumor stemness in the immune microenvironment of T-cell exhaustion for hepatocellular carcinoma

T-cell exhaustion (TEX) and high heterogeneity of cancer stem cells (CSCs) are associated with progression, metastasis, and treatment resistance in hepatocellular carcinoma (HCC). Here, we aim to characterize TEX-stemness-related genes (TEXSRGs) and screen for HCC patients who are more sensitive to immunotherapy. The immune cell abundance identifier (ImmuCellAI) was utilized to precisely evaluate the abundance of TEX and screen TEX-related genes. The stemness index (mRNAsi) of samples was analyzed through the one-class logistic regression (OCLR) algorithm. Application of the non-negative matrix decomposition algorithm (NMF) for subtype identification of HCC samples. The different subtypes were assessed for differences in prognosis, tumor microenvironment (TME) landscape, and immunotherapy treatment response. Then, the TEXSRGS-score, which can accurately forecast the survival outcome of HCC patients, was built by LASSO-Cox and multivariate Cox regression, and experimentally validated for the most important TEXSRGs. We also analyzed the expression of TEXSRGs and the infiltration of CD8+ T cells in clinical samples using qRT-PCR and immunohistochemistry (IHC). Based on 146 TEXSRGs, we found two distinct clinical phenotypes with different TEX infiltration abundance, tumor stemness index, enrichment pathways, mutational landscape, and immune cell infiltration through the non-negative matrix decomposition algorithm (NMF), which were confirmed in the ICGC dataset. Utilizing eight TEXSRGs linked to clinical outcome, we created a TEXSRGs-score model to further improve the clinical applicability. Patients can be divided into two groups with substantial differences in the characteristics of immune cell infiltration, TEX infiltration abundance, and survival outcomes. The results of qRT-PCR and IHC analysis showed that PAFAH1B3, ZIC2, and ESR1 were differentially expressed in HCC and normal tissues and that patients with high TEXSRGs-scores had higher TEX infiltration abundance and tumor stemness gene expression. Regarding immunotherapy reaction and immune cell infiltration, patients with various TEXSRGs-score levels had various clinical traits. The outcome and immunotherapy efficacy of patients with low TEXSRGs-score was favorable. In conclusion, we identified two clinical subtypes with different prognoses, TEX infiltration abundance, tumor cell stemness index, and immunotherapy response based on TEXSRGs, and developed and validated a TEXSRGs-score capable of accurately predicting survival outcomes in HCC patients by comprehensive bioinformatics analysis. We believe that the TEXSRGs-score has prospective clinical relevance for prognostic assessment and may help physicians select prospective responders in preference to current immune checkpoint inhibitors (ICIs).