Progression Of Hepatocellular Carcinoma Patients Research Articles

SERPING1 Reduces Cell Migration via ERK-MMP2-MMP-9 Cascade in Sorafenib- Resistant Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the most common primary hepatic malignant tumor, and it ranks 2nd in terms of mortality rate among all malignancies in Taiwan. Sorafenib is a multiple tyrosine kinase inhibitor that suppresses tumor cell proliferation and angiogenesis around tumors via different pathways. However, the survival outcome of advanced HCC patients treated with sorafenib is still unsatisfactory. Unfortunately, there are no clinically applicable biomarkers to predict sorafenib therapeutic efficiency in HCC thus far. We found that serpin peptidase inhibitor, clade G, member 1 (SERPING1) is highly associated with overall and recurrence-free survival rates in HCC patients and is also highly correlated with several clinical parameters. SERPING1 expression was increased with sorafenib in both the HCC cell extract and conditioned medium, which was also observed in sorafenib-resistant HepG2 and Huh7 cells. Sorafenib decreased cell viability and migration, which was similar to the effect of SERPING1 in HCC progression. Moreover, sorafenib inhibited both MMP-2 and MMP-9 activity and enhanced the expression of p-ERK in HCC cells. In summary, sorafenib reduces HCC cancer progression might through the p-ERK-MMP-2-MMP-9 cascade via upregulation of SERPING1. In the present study, the roles and molecular mechanisms of SERPING1 and its value as a marker for predicting sorafenib resistance and progression in HCC patients were examined. The results of the present study provide a deep understanding of the roles of SERPING1 in HCC sorafenib resistance, which can be applied to develop early diagnosis and prognosis evaluation methods and establish novel therapeutic targets for specifically treating HCC.

Combined DeRitis ratio and alkaline phosphatase on the prediction of portal vein tumor thrombosis in patients with hepatocellular carcinoma

Portal vein tumor thrombosis (PVTT) is one of the common complications of HCC and represents a sign of poor prognosis. PVTT signifies advanced liver cancer, deteriorating liver function, and heightened susceptibility to intrahepatic dissemination, systemic metastasis, and complications related to portal hypertension. It is important to seek novel strategies for PVTT arising from HCC. Portal vein tumor thrombus (PVTT) in hepatocellular carcinoma (HCC) represents a worse liver function, less treatment tolerance, and poor prognosis. This study aimed to investigate the diagnostic value of the combination of the DeRitis ratio (AST/ALT) and alkaline phosphatase (ALP) index (briefly named DALP) in predicting the occurrence risk of PVTT in patients with HCC. We performed a retrospective study enrolling consecutive patients with HCC from January 2017 to December 2020 in Hebei Medical University Third Hospital. ROC analysis was performed to estimate the predictive effectiveness and optimal cut-off value of DALP for PVTT occurrence in patients with HCC. Kaplan–Meier analysis revealed the survival probabilities in each subgroup according to the risk classification of DALP value. Univariate and multivariate Logistics regression analyses were applied to determine the independent risk for poor prognosis. ROC analysis revealed that the optimal cut-off value for DALP was 1.045, with an area under the curve (AUC) of 0.793 (95% CI 0.697–0.888). Based on the DALP classification (three scores: 0–2) with distinguishable prognoses, patients in the score 0 group had the best prognosis with a 1-year overall survival (OS) of 100%, whereas score 2 patients had the worst prognosis with 1-year OS of 72.4%. Similarly, there was a statistically different recurrence-free survival among the three groups. Besides, this risk classification was also associated with PVTT progression in HCC patients (odds ratio [OR] 5.822, P < 0.0001). Pathologically, patients in the score 2 group had more advanced tumors considering PVTT, extrahepatic metastasis, and ascites than those in score 0, 1 groups. Moreover, patients with a score of 2 had more severe hepatic inflammation than other groups. Combination of DeRitis ratio and ALP index presented a better predictive value for PVTT occurrence in patients with HCC, contributing to the tertiary prevention.

Aberrant expression of LGALS3BP drives an unfavorable prognosis and more aggressive in HCC via regulating PI3K/AKT signaling

Lectin galactoside-binding soluble 3-binding protein (LGALS3BP) is associated with cancer metastasis and is a promising prognostic marker in neoplasms. In hepatocellular carcinoma (HCC), the prognostic impact and pro-metastatic function of LGALS3BP remain unclear. This study evaluated the endogenous LGALS3BP expression in HCC tissue and its association with prognosis. LGALS3BP protein levels were significantly elevated in clinical HCC tissues and cell lines. Increased LGALS3BP expression was closely associated with disease progression in HCC patients, and they also exhibited an unfavorable prognosis. Furthermore, the knockdown of LGALS3BP inhibited the growth, migration, and invasion of HCC cells in vitro. In mice xenografts, silencing LGALS3BP significantly inhibited tumor cell growth in vivo. Mechanically, upon LGALS3BP depletion, the tumor-suppressive function was dependent on inactivating Phosphatidylinositol 3-kinase (PI3K)/V-akt murine thymoma viral oncogene homolog (AKT) signaling pathway. Collectively, these findings suggest that LGALS3BP employs a pro-tumorigenic function in HCC and may be a promising HCC prognostic marker.

Lipid droplet accumulation mediates macrophage survival and Treg recruitment via the CCL20/CCR6 axis in human hepatocellular carcinoma.

Metabolic changes play a crucial role in determining the status and function of macrophages, but how lipid reprogramming in macrophages contributes to tumor progression is not yet fully understood. Here, we investigated the phenotype, contribution, and regulatory mechanisms of lipid droplet (LD)-laden macrophages (LLMs) in hepatocellular carcinoma (HCC). Enriched LLMs were found in tumor tissues and were associated with disease progression in HCC patients. The LLMs displayed immunosuppressive phenotypes (with extensive expression of TREM2, PD-L1, CD206, and CD163) and attenuated the antitumor activities of CD8+ T cells. Mechanistically, tumor-induced reshuffling of cellular lipids and TNFα-mediated uptake of tumoral fatty acids contribute to the generation of triglycerides and LDs in macrophages. LDs prolong LLM survival and promote CCL20 secretion, which further recruits CCR6+ Tregs to HCC tissue. Inhibiting LLM formation by targeting DGAT1 and DGAT2, which catalyze the synthesis of triglycerides, significantly reduced Treg recruitment, and delayed tumor growth in a mouse hepatic tumor model. Our results reveal the suppressive phenotypes and mechanisms of LLM enrichment in HCC and suggest the therapeutic potential of targeting LLMs for HCC patients.

A prospective cohort study on the improvement of disease-free progression survival in patients with hepatocellular carcinoma by combining Sophora japonica granules with targeted and immune checkpoint inhibitors.

e16187 Background: To evaluate the clinical efficacy of combining Sophora japonica granules with targeted therapy and immune checkpoint inhibitors (ICIs) in patients with unresectable hepatocellular carcinoma (HCC) who had not undergone systemic treatment. Methods: A prospective cohort study design was adopted (ChiCTR2400079626), collecting HCC patients visited the Traditional Chinese Medicine Hospital of Xinjiang Uygur Autonomous Region from July 1, 2019, to July 1, 2023. All patients received targeted therapy and ICIs treatment. "Whether Sophora japonica granules were combined during treatment" was considered as the exposure factor. Patients who met this exposure factor were included in the exposure group (n = 48), and those who did not meet this factor were included in the non-exposure group (n = 44). The disease-free survival (PFS), six-month PFS rate, and subgroup analysis between two groups. Results: The PFS of the exposure group was 8.9 months (m), and that of the non-exposure group was 5m(P = 0.001 HR = 0.50, 95%CI (0.32~0.78)). The six-month PFS rates were 66.7% compared to 34.1%(P = 0.001). Subgroup analysis showed that in subgroups with hepatitis, cirrhosis, vascular invasion, extrahepatic metastasis, tumor maximum diameter ≥5cm, combined TKI, the exposure group had significantly longer PFS than the non-exposure group (respectively: 9m VS 5m, 10m VS 4m, 13m VS 3m, 8.3m VS 4m, 9m VS 4m, 9m VS 5m),(P &lt; 0.05). In the subgroup with a history of alcohol consumption, the exposure group's PFS was extended by 9 m (14m VS 5m; P = 0.010); in the subgroup with baseline AFP ≥400ng/ml, PFS was extended by 6m (9m VS 3m; P = 0.017), and in the subgroup with baseline AFP &lt; 400ng/ml, PFS was also extended by 2.9m (8.9m VS 6m; P = 0.024), with all differences being statistically significant. Multivariate analysis showed that extrahepatic metastasis was an independent prognostic factor, with a disease progression risk 1.77 times higher than that of patients without extrahepatic metastasis [HR = 1.77, 95%CI (1.11~2.81), P = 0.016]. Combining Sophora japonica granules was a protective factor [HR = 0.53, 95%CI (0.33~0.84), P = 0.006], reducing the risk of disease progression in HCC patients treated with targeted therapy and ICIs by 47%. Conclusions: Combining Sophora japonica granules can extend the progression-free survival of HCC patients treated with targeted therapy and ICIs, increase the six-month PFS rate, and significantly reduce the risk of disease progression. The survival benefit was more pronounced in subgroups with vascular invasion and a history of alcohol consumption, with PFS exceeding one year. After combining Sophora japonica granules, the survival benefit improved more in the ICIs + TKI subgroup compared to the ICIs + bevacizumab subgroup. Clinical trial information: ChiCTR2400079626.

Reprogramming tumor-associated macrophages and inhibiting tumor neovascularization by targeting MANF–HSF1–HSP70-1 pathway: An effective treatment for hepatocellular carcinoma

In advanced hepatocellular carcinoma (HCC) tissues, M2-like tumor-associated macrophages (TAMs) are in the majority and promotes HCC progression. Contrary to the pro-tumor effect of M2-like TAMs, M1-like TAMs account for a small proportion and have anti-tumor effects. Since TAMs can switch from one type to another, reprogramming TAMs may be an important treatment for HCC therapy. However, the mechanisms of phenotypic switch and reprogramming TAMs are still obscure. In this study, we analyzed differential genes in normal macrophages and TAMs, and found that loss of MANF in TAMs accompanied by high levels of downstream genes negatively regulated by MANF. MANF reprogrammed TAMs into M1 phenotype. Meanwhile, loss of MANF promoted HCC progression in HCC patients and mice HCC model, especially tumor neovascularization. Additionally, macrophages with MANF supplement suppressed HCC progression in mice, suggesting MANF supplement in macrophage was an effective treatment for HCC. Mechanistically, MANF enhanced the HSF1–HSP70-1 interaction, restricted HSF1 in the cytoplasm of macrophages, and decreased both mRNA and protein levels of HSP70-1, which in turn led to reprogramming TAMs, and suppressing neovascularization of HCC. Our study contributes to the exploration the mechanism of TAMs reprogramming, which may provide insights for future therapeutic exploitation of HCC neovascularization.

The impact of liver fibrosis on the progression of hepatocellular carcinoma via a hypoxia-immune-integrated prognostic model

The impact of liver fibrosis on the deterioration of hepatocellular carcinoma (HCC) remains controversial. We hope to explore this issue through establishing a fibrosis-hypoxia-glycolysis-immune related prognostic model. Liver fibrosis-related genes from Molecular Signatures Database were used to evaluate the degree of fibrosis in HCC patients from the TCGA database. The patients were divided into two groups using the fibrosis-related expression matrix based on the algorithm uniform manifold approximation and projection (UMAP) and evaluated for fibrosis by UMAP cluster and gene enrichment analysis. Prognostic model was constructed by differential analysis, LASSO, and multivariate regression analysis. Immune-infiltration analysis was performed by CIBERSORT. Quantitative PCR and immunohistochemistry were performed to measure the gene expression levels in HCC patients from our hospital. In 365 HCC patients from the TCGA database, 111 HCC patients with high fibrosis score have a worse prognosis than those with low fibrosis based on 129 genes related to liver fibrosis, which may be caused by the interaction between fibrosis, angiogenesis, hypoxia, glycolysis, inflammatory response, and high immune infiltration. We constructed a Fibrosis-Hypoxia-Glycolysis-Immune Prognostic Model (FHGISig), which could significantly predict disease progression in HCC patients. Furthermore, we revealed a close correlation between FHGISig and immune cell infiltration level as well as immune checkpoints. Finally, PCR results found TFF3 mRNA was significantly lower in cirrhotic HCC patients compared with non-cirrhotic ones. Liver fibrosis is a poor-prognostic factor for HCC, and our FHGISig could significantly predict disease progression, which could also be a potential predictive marker for immunotherapy in HCC patients.

TC2N Promotes Cell Proliferation and Metastasis in Hepatocellular Carcinoma by Targeting the Wnt/β-Catenin Signaling Pathway

Hepatocellular carcinoma (HCC), one of the most prevalent types of cancer worldwide, has an exceedingly poor prognosis. Tandem C2 domain nuclear protein (TC2N) has been implicated in tumorigenesis and serves as an oncogene or tumor suppressor in different types of cancer. Here, we explore the possible regulatory activities and molecular mechanisms of TC2N in HCC progression. However, TC2N expression was significantly upregulated in HCC tissues and hepatoma cell lines, and this upregulation was positively correlated with tumor progression in HCC patients. The ectopic overexpression of TC2N accelerated the proliferation, migration, and invasion of HCC cells, whereas its knockdown showed the opposite effects. Bioinformatics analysis showed that TC2N participates in the regulation of the Wnt/β-catenin signaling pathway. Mechanistically, TC2N activated the Wnt/β-catenin signaling pathway by regulating the expression levels of β-catenin and its downstream targets CyclinD1, MMP7, c-Myc, c-Jun, AXIN2, and glutamine synthase. Furthermore, the deletion of β-catenin effectively neutralized the regulation of TC2N in HCC proliferation and metastasis. Overall, this study showed that TC2N promotes HCC proliferation and metastasis by activating the Wnt/β-catenin signaling pathway, indicating that TC2N might be a potential molecular target for the treatment of HCC.

A clinically feasible circulating tumor cell sorting system for monitoring the progression of advanced hepatocellular carcinoma

BackgroundHematogenous metastasis is essential for the progression of advanced hepatocellular carcinoma (HCC) and can occur even after patients receive multidisciplinary therapies, including immunotherapy and hepatectomy; circulating tumor cells (CTCs) are one of the dominant components of the metastatic cascade. However, the CTC capture efficiency for HCC is low due to the low sensitivity of the detection method. In this study, epithelial cell adhesion molecule (EpCAM)/vimentin/Glypican-3 (GPC3) antibody-modified lipid magnetic spheres (LMS) were used to capture tumor cells with epithelial phenotype, mesenchymal phenotype and GPC3 phenotype, respectively, in order to capture more CTCs with a more comprehensive phenotype for monitoring tumor metastasis.ResultsThe novel CTC detection system of Ep-LMS/Vi-LMS/GPC3-LMS was characterized by low toxicity, strong specificity (96.94%), high sensitivity (98.12%) and high capture efficiency (98.64%) in vitro. A sudden increase in CTC counts accompanied by the occurrence of lung metastasis was found in vivo, which was further validated by a clinical study. During follow-up, the rapid increase in CTCs predicted tumor progression in HCC patients. Additionally, genetic testing results showed common genetic alterations in primary tumors, CTCs and metastatic tissues. The proportion of patients predicted to benefit from immunotherapy with the CTC detection method was higher than that for the tissue detection method (76.47% vs. 41.18%, P = 0.037), guiding the application of clinical individualized therapy.ConclusionsThe Ep-LMS/Vi-LMS/GPC3-LMS sequential CTC capture system is convenient and feasible for the clinical prediction of HCC progression. CTCs captured by this system could be used as a suitable alternative to HCC tissue detection in guiding immunotherapy, supporting the clinical application of CTC liquid biopsy.

Systemic analysis identifying PVT1/DUSP13 axis for microvascular invasion in hepatocellular carcinoma.

Microvascular invasion (MVI) is an independent detrimental risk factor for tumor recurrence and poor survival in hepatocellular carcinoma (HCC). Competitive endogenous RNA (ceRNA) networks play a pivotal role in the modulation of carcinogenesis and progression among diverse tumor types. However, whether the ceRNA mechanisms are engaged in promoting the MVI process in patients with HCC remains unknown. A ceRNA regulatory network was constructed based on RNA-seq data of patients with HCC from The Cancer Genome Atlas (TCGA) database. In total, 10 hub genes of the ceRNA network were identified using four algorithms: "MCC," "Degree," "Betweenness," and "Stress." Transcriptional expressions were verified by in situ hybridization using clinical samples. Interactions between ceRNA modules were validated by luciferase reporting assay. Logistic regression analysis, correlation analysis, enrichment analysis, promoter region analysis, methylation analysis, and immune infiltration analysis were performed to further investigate the molecular mechanisms and clinical transformation value. The ceRNA regulatory network featuring a tumor invasion phenotype consisting of 3 long noncoding RNAs, 3 microRNAs, and 93 mRNAs was constructed using transcriptional data from the TCGA database. Systemic analysis and experimentally validation identified a ceRNA network (PVT1/miR-1258/DUSP13 axis) characterized by lipid regulatory potential, immune properties, and abnormal methylation states in patients with HCC and MVI. Meanwhile, 28 transcriptional factors were identified as potential promotors of PVT1 with 3 transcriptional factors MXD3, ZNF580, and KDM1A promising as therapeutic targets in patients with HCC and MVI. Furthermore, miR-1258 was an independent predictor for MVI in patients with HCC. The PVT1/DUSP13 axis is significantly associated with MVI progression in HCC patients. This study provides new insight into mechanisms related to lipids, immune phenotypes, and abnormal epigenetics in oncology research.

Effects of Gene Polymorphisms, Metabolic Activity, and Content of Alcohol Dehydrogenase and Acetaldehyde Dehydrogenases on Prognosis of Hepatocellular Carcinoma Patients.

Alcohol dehydrogenase and acetaldehyde dehydrogenases have been associated with hepatocellular carcinoma, but how alcohol dehydrogenase and acetaldehyde dehydrogenases alter the prognosis of hepatocellular carcinoma have not been completely elucidated. Metabolic activities, gene polymorphisms, and content of alcohol dehydrogenase and acetaldehyde dehydrogenases were determined in 68 fibrotic livers from hepatocellular carcinoma patients. These characteristics were then correlated with clinical features and prognosis in these patients. The median survival time of the ALDH-high activity group (727 days) was increased by 128% compared with that of ALDH-low activity group (319 days), and there was a significant negative correlation between the activity of acetaldehyde dehydrogenases and the level of alanine aminotransferase, aspartate aminotransferase, and alkaline phosphatase. There was no difference in survival time between ALDH2-high and ALDH2-low expression group, though the activity of acetaldehyde dehydrogenases had correlation with the content of ALDH2 (r = 0.6887, P < .001). Mutation at ALDH2rs671 significantly decreased both the activity and content of acetalde- hyde dehydrogenases, but the polymorphism had no relationship with progression of hepatocellular carcinoma patients. In addition, the activity and 3 polymorphisms of alcohol dehydrogenase had no effect on overall survival. Mutation at ADH1Crs698 significantly decreased both the activity and content of alcohol dehydrogenase (P < .05), mutation at ADH1C rs2241894 had an inverse effect, and mutation at ADH1B rs1229984 increased activity but did not affect content. The activity of alcohol dehydrogenase had a moderate cor- relation with the content of ADH1A and ADH1C in livers (P < .05). Low activity of acetaldehyde dehydrogenases in livers correlates with poor prognosis and clinical progression in hepatocel- lular carcinoma patients, and both gene polymorphisms and content influence its metabolic activity.

Downregulation of ZC3H13 by miR-362-3p/miR-425-5p is associated with a poor prognosis and adverse outcomes in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is notorious for its poor prognosis. Previous studies identified several N6-methyladenosine (m6A)-related genes that play key roles in the initiation and progression of HCC patients. In particular, the N6-methyladenosine RNA methylation regulator ZC3H13 could be a candidate as a novel biomarker and therapeutic target for hepatocellular carcinoma. In HCC, low expression of ZC3H13 was reported, but the molecular reason is unclear. In this study, we performed pan cancer analysis for ZC3H13 expression and prognosis using The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) data and found that ZC3H13 might be a potential tumor suppressor gene in HCC. Subsequently, miRNAs contributing to ZC3H13 downregulation were identified by a series of in silico analyses, including expression analysis, correlation analysis, and survival analysis. Finally, the miR-362-3p/miR-425-5p-ZC3H13 axis was identified as the most likely upstream miRNA-related pathway of ZC3H13 in HCC. Additionally, miR-362-3p/miR-425-5p mimic and inhibitor results were detected by quantitative real-time PCR (qPCR) analysis and western blotting. We identified an upstream regulatory mechanism of ZC3H13 in HCC, namely, the miR-362-3p/miR-425-5p-ZC3H13 axis. Moreover, the ZC3H13 level was significantly positively associated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression. Collectively, our findings elucidated that ncRNA-mediated downregulation of ZC3H13 was correlated with a poor prognosis and tumor immune infiltration in HCC. In conclusion, this study demonstrates that ZC3H13 is a direct target of miR-362-3p/miR-425-5p in liver hepatocellular carcinoma (LIHC) that regulates immune modulation in the microenvironment of LIHC.

Sorafenib-Induced Autophagy Promotes Glycolysis by Upregulating the p62/HDAC6/HSP90 Axis in Hepatocellular Carcinoma Cells.

Sorafenib has attracted much attention as the first drug approved by the FDA for the treatment of advanced hepatocellular carcinoma (HCC). Because of the drug tolerance, the overall outcomes were far from satisfactory. Current studies suggest that changes in glucose metabolism induced by sorafenib are the pivotal resistant mechanism of HCC cells, but the specific regulatory mechanism remains unclear, which makes it difficult to increase drug sensitivity by targeting glycolysis. As a metabolic-recycling pathway, autophagy regulates multiple important pathways involved in cell survival and death. In this study, we found the expression of key autophagy proteins were closely related to the prognosis and progression of HCC patients. Based on in vitro experiments, our studies showed sorafenib induced autophagy in HCC cells. Inhibition of autophagy by chloroquine could significantly increase the sensitivity of HCC cells to sorafenib and reverse the enhancement of glycolysis. Furthermore, sorafenib-induced autophagy promoted the deacetylase activity of HDAC6 by degrading p62, which promoted the activity of PKM2 by regulating the acetylation of its critical substrate HSP90. In this study, we investigated the role of autophagy-induced HDAC6 in regulating the key glycolytic enzyme PKM2, which may be helpful to clarify the relationship between autophagy and glycolysis in a sorafenib-resistant mechanism. Targeting p62/HDAC6/HSP90 could herald a potential improvement in HCC therapy.

Analysis of MUC6 Genetic Variants on the Clinicopathologic Characteristics of Patients with Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is the leading malignancy associated with cancer-related deaths worldwide. Many studies have indicated that mucin (MUC) expression plays an important role in cancer metastasis and recurrence. MUC6 expression is observed in gastric and oncocytic phenotypes and may play an important role during cancer progression. We found the level of MUC6 is lower in HCC patients but did not affect the survival of HCC patients. Therefore, in this study, we investigated the combined effect of MUC6 polymorphisms and exposure to environmental carcinogens on the susceptibility to and clinicopathological characteristics of HCC. Three single-nucleotide polymorphisms (SNPs) of MUC6 (rs61869016, rs6597947, and rs7481521) from 1197 healthy controls and 423 HCC patients were analyzed using real-time PCR. After adjusting for other co-variants, we found that carrying a CC genotype at MUC6 rs61869016 had a lower risk of developing HCC than wildtype carriers. Moreover, patients with a smoking habit who carried the C allele of rs61869016 and T allele of rs7481521 had a higher (B or C) Child-Pugh score than other genotypes, suggesting significant functional compromise and decompensated disease. Therefore, our findings suggest that genetic variations in MUC6 may corelate to HCC and indicate progression in HCC patients.

MicroRNA-25 Exerts an Oncogenic Function by Regulating the Ubiquitin Ligase Fbxw7 in Hepatocellular Carcinoma.

MicroRNA (miRNA) expression abnormalities are implicated in tumor progression. Previous reports have indicated that microRNA-25 (miR-25) acts as a tumor suppressor or oncogene in diverse cancers. However, its molecular mechanisms in hepatocellular carcinoma (HCC) are still unclear. F-box and WD repeat domain 7 (Fbxw7) is a critical tumor suppressor and is one of the most important deregulated proteins of the ubiquitin-proteasome system in cancer. Our objective was to elucidate the role of miR-25 and Fbxw7 in HCC and to clarify the mechanism by which Fbxw7 is regulated. Fbxw7 expression was estimated in 210 fixed paraffin-embedded HCC samples by immunohistochemistry, and miR-25 expression was evaluated in 142 frozen HCC tissue samples by quantitative real-time PCR. Oncogenic functions of miR-25 and its role in the regulation of Fbxw7 expression were assayed in vitro. miR-25 was overexpressed in HCC tissue compared with adjacent normal tissue and significantly correlated with a poorer prognosis. Moreover, it was inversely correlated with Fbxw7 expression in HCC tissues. Furthermore, miR-25 inhibition significantly reduced the proliferation, migration, and invasion of HCC cellsin vitro. miR-25 may promote tumor progression in HCC patients by repression of Fbxw7 and could serve as a promising molecular target for HCC treatment.

Abstract PO-041: Shape features predicting intrahepatic progression-free and overall survival for SBRT treated HCC patients using radiomics and deep learning based survival models

Abstract Purpose: Intrahepatic failure is a major concern in the treatment of hepatocellular carcinoma (HCC) but lacks clinically reliable predictive markers. This work aims to identify a radiomic signature for risk prediction of intrahepatic progression in HCC patients treated with stereotactic body radiation therapy (SBRT) by extracting magnetic resonance imaging (MRI) and contrast-enhanced CT phenotypes from tumor(s) and liver parenchyma. Materials/Methods: 94 HCC patients treated with SBRT were retrospectively analyzed. The range of follow-up time is 57-1768 days. Samples were right censored if there was no intrahepatic progression within the follow-up time. The event rates is 43/94=45.7%. 112 radiomics features were extracted from tumors and liver parenchyma from CECT and MRI using pyradiomics platform. CT images were first added a 1000 HU shift and MRI images were standardized by the mean and standard deviation. Univariate Cox analysis was applied for radiomics features analysis. Multivariate Cox models and survival neural networks were also used to predict the outcome. Multiple folds cross-validation was used for model evaluation. Models’ performances were assessed using Harrell’s c-index and Kaplan-Meier plot. Results: Sphericity, small dependence emphasis, small dependence high gray level emphasis, run high gray level emphasis and coarseness are significant predictors from MR tumors for the outcome. The Cox models showed c-index of 0.600 (CI 95%: 0.558-0.642). Sphericity and maximal correlation coefficient are significant predictors from CT tumors for the outcome, with a c-index of 0.613 (CI 95%: 0.576-0.649). Volume, elongation and sphericity are significant predictors for overall survival, with a c-index of 0.584 (CI 95%: 0.532-0.636). None of the liver parenchyma features were important predictors. Interestingly, convolutional neural networks (CNN) were applied on the contour of the tumors and the c-index was 0.668 (CI 95%: 0.612-0.723). The 2 channel (MR-tumor region and contour mask) CNN network showed better performance of 0.698 (CI 95%: 0.658-0.749). Conclusions: Shape features showed predictive power for both intrahepatic progression-free and overall survival endpoints, which was proven using both radiomics feature based Cox modeling and CNN based contour methods. Adding MR imaging improved the performance. Citation Format: Lise Wei, Jue Jiang, Harini Veeraraghavan, Issam El Naqa. Shape features predicting intrahepatic progression-free and overall survival for SBRT treated HCC patients using radiomics and deep learning based survival models [abstract]. In: Proceedings of the AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging; 2021 Jan 13-14. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(5_Suppl):Abstract nr PO-041.

Value of miR-1271 and glypican-3 in evaluating the prognosis of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization.

BACKGROUNDHepatocellular carcinoma (HCC) is the third leading cause of cancer death, causing about 750000 deaths worldwide every year. Patients with advanced hepatocellular carcinoma will often only receive transcatheter arterial chemoembolization (TACE). Glypican-3 (GPC3) is one of the most promising serum markers for HCC. Abnormal expression of miRNAs may be involved in the occurrence and development of tumor.AIMTo explore the value of miR-1271 and GPC3 in evaluating the prognosis of patients with HCC after TACE.METHODSFrom January 2016 to December 2018, 162 patients with advanced HCC who received TACE in our hospital were selected into the cancer group, and 162 patients who underwent physical examination during the same period were selected into the health group. The patients in the HCC group were treated with TACE. The changes of serum GPC3 and circulating miR-1271 in the HCC before and after TACE were analyzed. The expression of serum GPC3 was detected by enzyme-linked immunosorbent assay, and the expression of circulating miR-1271 was detected by real-time quantitative polymerase chain reaction. The methodological results of sensitivity, specificity, and accuracy of miR-1271 and GPC3 alone and joint detection of HCC were also evaluated.RESULTSThe level of serum GPC3 in patients with HCC was significantly higher than that in healthy controls. GPC3 levels were increased in both HCC patients and those treated with TACE compared with healthy controls. After TACE, the level of serum GPC3 was significantly lower than that before treatment (P < 0.05), and the level of circulating miR-1271 was significantly higher than that before treatment (P < 0.05). There were 112 cases (69.14%) with remission (complete remission + complete remission + stable disease) and 50 cases (30.86%) with relapse disease progression in HCC patients. After TACE, the miR-1271 level in patients with remission and relapse was lower than that in the healthy group, and the GPC3 level was higher than that in the healthy group, the differences were statistically significant (P < 0.05). The miR-1271 of relapsed patients was lower than that of remission patients, and the level of GPC3 was higher than that of remission patients, and the difference was statistically significant (P < 0.05). The sensitivity of combined detection of miR-1271 and GPC3 was significantly higher than that of single detection, and the difference was statistically significant (P < 0.05); while the specificity of the two combined detections was lower than that of the single detection; and the accuracy was slightly higher than that of single detection, but the difference was not statistically significant.CONCLUSIONThe level of miR-1271 in patients with HCC was significantly increased and the level of GPC3 was decreased after TACE. Monitoring the levels of serum GPC3 and circulating miR-1271 has important clinical reference value for evaluating the prognosis of patients with HCC. The levels of serum GPC3 and circulating miR-1271 may help to determine tumor recurrence, evaluate survival status, and guide the next step of treatment.

High serum sPD-1 and sPD-L1 levels 1 predict outcome in hepatocellular carcinoma patients treated with radiotherapy.

e16672 Background: Accumulating data have shown that soluble (s)PD-1 and sPD-L1 are potential biomarkers for the curative efficacy of chemotherapy in several cancers. However, these markers have not been well established for outcomes in hepatocellular carcinoma (HCC) radiotherapy (RT). Therefore, this study aims to assess sPD-1/sPD-L1 levels before and after RT and their relationship to clinical characteristics and prognoses. Methods: Pre-treatment serum sPD-L1 and sPD-1 levels were measured with an enzyme-linked immunosorbent assay (ELISA) in 281 patients with HCC treated with RT. The association between serum sPD-L1 and sPD-1 levels and prognosis was assessed using survival analysis. Formalin-fixed paraffin-embedded samples were obtained from 40 patients with HCC who underwent surgery. The expression of PD-L1 was evaluated by immunohistochemical analysis. Results: Using multivariate analyses; sPD-L1 and sPD-1 levels were significant independent predictors of disease-free and overall survival. Patients with maximum tumor diameters ≥5 cm and Barcelona clinic liver cancer (BCLC) staging B and C had significantly higher median sPD-1/sPD-L1 serum concentrations compared to patients with smaller tumor sizes and earlier stages. There was a positive correlation (r = 0.377, p &lt; 0.001) between sPD-L1 and sPD-1 levels. High pretreatment sPD-1/sPD-L1 levels were associated with poor prognoses, and increased sPD-1/sPD-L1 levels were associated with disease progression after RT. In post-irradiated tumor tissue, PD-L1 expression was significantly higher than matched, non-irradiated tissue. In addition, higher PD-L1 expression was correlated with decreased cytotoxic T-cell infiltration and poor survival. Therefore, sPD-1/sPD-L1 could be used as noninvasive biomarkers for evaluating HCC malignancy before RT and in predicting the response to RT in HCC patients. Conclusions: High pretreatment serum sPD-L1 and sPD-1 were associated with poor prognoses, and increased serum sPD-L1 levels were associated with the disease progression of HCC patients treated with RT. PD-L1/ PD-1 pathway may be explored as therapeutic targets and potential predictive biomarkers for HCC treated with RT.

LncZEB1-AS1 regulates hepatocellular carcinoma bone metastasis via regulation of the miR-302b-EGFR-PI3K-AKT axis.

In patients with hepatocellular carcinoma (HCC), disease progression and associated bone metastasis (BM) can markedly reduce quality of life. While the long non-coding RNA (lncRNA) zinc finger E-box binding homeobox 1 antisense 1 (ZEB1-AS1) has been shown to function as a key regulator of oncogenic processes in HCC and other tumor types, whether it plays a role in controlling HCC BM remains to be established. In the current study, we detected the significant upregulation of lncZEB1-AS1 in HCC tissues, and we found this expression to be associated with BM progression. When we knocked down this lncRNA in HCC cells, we found that this significantly reduced their migratory, invasive, and metastatic activity both in vitro and in vivo. At a mechanistic level, we found that lncZEB1-AS1 was able to target miR-302b and to thereby increase PI3K-AKT pathway activation and EGFR expression, resulting in the enhanced expression of downstream matrix metalloproteinase genes in HCC cells. In summary, our results provide novel evidence that lncZEB1-AS1 can promote HCC BM through a mechanism dependent upon the activation of PI3K-AKT signaling, thus highlighting a potentially novel therapeutic avenue for the treatment of such metastatic progression in HCC patients.

Identification of TAF1, SAT1, and ARHGEF9 as DNA methylation biomarkers for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a major cause of cancer-related deaths worldwide. More than 90% of primary HCC is HCC. Hepatitis C virus (HCV) infection and alcohol consumption have been widely accepted as two major risk factors for developing HCC. Herein, we aimed to identify DNA methylation genes related to both HCV infection and alcohol consumption. In this study, we identified methylation genes that were associated with the risk of HCV infection and alcohol consumption, respectively, by a large-scale bioinformatic analysis. Through PPI network analysis, we revealed the associations between the two types of genes and found six hub genes-TAF1, SAT1, Phospholipase C-beta 2, FGD1, ARHGAP4, and ARHGEF9-that may be associated with both HCV infection and alcohol consumption. Gene Ontology enrichment analysis was used to analyze the function which these genes in the network enriched. Among them, TAF1, SAT1, and ARHGEF9 were methylated genes that have been found to be related to tumor progression in HCC patients. Through independent data sets, we verified the methylation pattern of these six genes in HCC samples that had both HCV infection and alcohol consumption risks. Furthermore, we found that three of the six methylated genes were also associated with the prognosis of HCC patients. To summarize, we identified six hub genes that were associated with both HCV infection and alcohol consumption in the progress of HCC. The six methylation genes that might play an important role in both HCV infection and alcohol consumption would be potential therapy targets for HCC.