Hepatocellular carcinoma (HCC) is a major cause of cancer-related death worldwide. Although it has been known that hepatic stellate cells (HSCs) play critical roles in the development and progression of HCC, the molecular mechanism underlying crosstalk between HSCs and cancer cells still remains unclear. Here, we investigated the interactions between HSCs and cancer cells through an indirect co-culture system. The expressions of cellular and exosomal miR-148a-3p were evaluated by quantitative real-time PCR. Cell counting kit-8 was used for evaluating cell growth in vitro. Cell migration and invasion ability were evaluated by wound-healing and Transwell assays. Western blot, quantitative real-time PCR and Luciferase reporter assay were performed to determine the target gene of miR-148a-3p. A xenograft liver cancer model was established to study the function of exosomal miR-148a-3p in vivo.

Background Numerous studies have demonstrated limited survival benefits of transarterial chemoembolization (TACE) alone in the treatment of intermediate-stage hepatocellular carcinoma (HCC) beyond up-to-seven criteria. The advent of immunotherapy, particularly immune checkpoint inhibitors (ICIs), has opened new avenues for HCC treatment. However, TACE combined with ICIs has not been investigated for patients with intermediate-stage HCC beyond the up-to-seven criteria. The study aims to evaluate the efficacy and safety of this treatment strategy for such patients. Methods In this single-arm, prospective, phase II study, we enrolled eligible patients with HCC who were treated with TACE plus programmed cell death protein 1 (PD-1) inhibitors (sintilimab) from April 2021 to February 2023. The study’s primary objectives were to assess progression-free survival (PFS) and safety. Secondary objectives included measuring the objective response rate (ORR) and disease control rate (DCR) as per both Response Evaluation Criteria in Solid Tumors (RECIST) V.1.1 and modified RECIST (mRECIST) criteria, as well as overall survival (OS). Additionally, we conducted correlation analyses to identify predictors influencing the efficacy of tumor treatment. Result 20 patients participated in this study, with a median follow-up duration of 22.0 months. Median PFS was 8.4 months (95% CI: 4.7 to 19.7) according to both RECIST V.1.1 and mRECIST. The ORR was 30.0% (95% CI: 14.6% to 51.9%) per RECIST 1.1% and 60% (95% CI: 38.7% to 78.1%) per mRECIST. DCR was 95.0% (95% CI: 76.4% to 99.1%) according to both RECIST V.1.1 and mRECIST. Median OS was not yet reached. Notably, 20% (4/20) of patients underwent successful conversion to curative surgical resection. Treatment-related adverse events (TRAEs) mainly included elevated aspartate aminotransferase levels (19/20, 95.0%), elevated alanine aminotransferase levels (18/20, 90.0%), hypothyroidism (18/20, 90.0%), and reduced appetite (10/20, 50.0%). Among all participants, only one experienced grade 3 TRAE (myocarditis). We employed the Elastic Net regression model to analyze radiomic features from tumor and peritumoral areas to predict the efficacy of this treatment strategy. Conclusion TACE plus PD-1 inhibitors demonstrated promising efficacy and an acceptable safety profile, suggesting it as a potential treatment option for patients with intermediate-stage HCC beyond up-to-seven criteria. Furthermore, our study indicates that specific image-based features may serve as predictors for patients likely to benefit from this treatment approach. Trial registration number NCT04842565.

Intrahepatic cholangiocarcinoma patients without indications of lymph node metastasis not benefit from lymph node dissection Intrahepatic cholangiocarcinoma patients without indications of lymph node metastasis not benefit from lymph node dissection

Objectives: Intrahepatic cholangiocarcinoma (iCCA) is a highly malignant cancer. More than 70% of patients are diagnosed at an advanced stage. The aim of this study was to evaluate the diagnostic value of plasma miR-21, miR-122, and CA19-9, hoping to establish a novel model to improve the accuracy for diagnosing iCCA. Materials and methods: Plasma miR-21 and miR-122 were detected in 359 iCCA patients and 642 controls (healthy, benign liver lesions, other malignant liver tumors). All 1001 samples were allocated to training cohort (n = 668) and validation cohort (n = 333) in a chronological order. A logistic regression model was applied to combine these markers. Area under the receiver operating characteristic curve (AUC) was used as an accuracy index to evaluate the diagnostic performance. Results: Plasma miR-21 and miR-122 were significantly higher in iCCA patients than those in controls. Higher plasma miR-21 level was significantly correlated with larger tumor size (p = 0.030). A three-marker model was constructed by using miR-21, miR-122 and CA19-9, which showed an AUC of 0.853 (95% CI: 0.824–0.879; sensitivity: 73.0%, specificity: 87.4%) to differentiate iCCA from controls. These results were subsequently confirmed in the validation cohort with an AUC of 0.866 (0.825–0.901). The results were similar for diagnosing early (stages 0–I) iCCA patients (AUC: 0.848) and CA19-9^negative iCCA patients (AUC: 0.795). Conclusions: We established a novel three-marker model with a high accuracy based on a large number of participants to differentiate iCCA from controls. This model showed a great clinical value especially for the diagnosis of early iCCA and CA19-9^negative iCCA.

Intrahepatic cholangiocarcinoma (ICC) is a cancer type with high malignancy and a current lack of biomarkers to predict recurrence. In the present study, to identify potential biomarkers, five ICC datasets from the Gene Expression Omnibus database were analyzed to construct initial datasets by using a robust rank aggregation approach. A total of 19 upregulated genes were identified in the initial datasets. The genes identified were then further analysed using data from The Cancer Genome Atlas. Only mucin 1 (MUC1) exhibited significance regarding differential expression and survival prediction. Finally, the expression levels of MUC1 were assessed using reverse transcription‑quantitative PCR in 61 pairs of ICC tumor and matched non‑cancerous samples. The expression of MUC1 was significantly elevated in ICC tissues compared with that in matched non‑cancerous counterparts (P=0.001). Patients with high MUC1 expression levels had significantly shorter overall survival (OS, P=0.009) and recurrence‑free survival (RFS, P=0.012). MUC1 was identified as an independent prognostic factor for OS [hazard ratio (HR)=2.364, 95%CI: 1.214‑4.485; P=0.023] and RFS (HR=2.552 95%CI: 1.294‑5.032; P=0.007) in the multivariate analysis. Using receiver operating characteristic analysis, a co‑index including MUC1 had a high accuracy for predicting survival [MUC1 combined with serum levels of CEA and cancer antigen 19‑9, and lymph node metastasis, area under curve (AUC)=0.746, 95%CI: 0.620‑0.872] and recurrence (MUC1 combined with bile duct invasion and lymph node metastasis, AUC=0.729, 95%CI: 0.605‑854). In conclusion, MUC1 is highly expressed in ICC tissue and is a potential prognostic biomarker and therapeutic target for ICC.