Pembrolizumab plus Lenvatinib is regarded as a significant treatment option for advanced unresectable hepatocellular carcinoma (HCC). This study aims to meticulously monitor and identify adverse events (AEs) related to this combined therapy, enhance patient safety, and offer evidence-based recommendations for the appropriate use of these drugs. We gathered adverse drug reactions (ADRs)-related data from the FAERS database for HCC patients who received Pembrolizumab, both alone and in combination with Lenvatinib from the first quarter of 2014 to the fourth quarter of 2023. ADRs signal detection was performed using the ROR, PRR, BCPNN, MHRA, and MGPS methods. We gathered data on 459 and 358 AEs from patients with HCC treated with pembrolizumab alone and in combination with lenvatinib, respectively. Using four signal quantification techniques, we identified 50 and 38 distinct AEs, which were classified into 15 different System organ class (SOC) categories. Notably, the most common AEs associated with pembrolizumab were gastrointestinal disorders and hepatobiliary disorders. In both patient groups, the most frequently reported AEs were hepatic encephalopathy, blood bilirubin increased and diarrhea. We also observed some unexpected significant AEs, such as dehydration, skin ulcers, and intestinal perforation. The countries reporting the highest number of AEs were the United States, followed by China, France, and Japan. The median onset time for AEs related to pembrolizumab alone and its combination with lenvatinib was 80.5 days (interquartile range 20.0-217.3 days) and 77.5 days (interquartile range 19.7-212.3 days), respectively. This study offers new insights into the monitoring and management of ADRs in HCC patients receiving pembrolizumab alone or in combination with lenvatinib. It is crucial to closely monitor the safety of this treatment regimen in HCC patients to avoid serious AEs.

Hepatocellular carcinoma (HCC) remains imposing an enormous economic and healthcare burden worldwide. In this present study, we constructed and validated a novel autophagy-related gene signature to predict the recurrence of HCC patients. A total of 29 autophagy-related differentially expressed genes were identified. A five-gene signature (CLN3, HGF, TRIM22, SNRPD1, and SNRPE) was constructed for HCC recurrence prediction. Patients in high-risk groups exhibited a significantly poor prognosis compared with low-risk patients both in the training set (GSE14520 dataset) and the validation set (TCGA and GSE76427 dataset). Multivariate cox regression analysis demonstrated that the 5-gene signature was an independent risk factor for recurrence-free survival (RFS) in HCC patients. The nomograms incorporating 5-gene signature and clinical prognostic risk factors were able to effectively predict RFS. KEGG and GSEA analysis revealed that the high-risk group was enriched with multiple oncology characteristics and invasive-related pathways. Besides, the high-risk group had a higher level of immune cells and higher levels of immune checkpoint-related gene expression in the tumor microenvironment, suggesting that they might be more likely to benefit from immunotherapy. Finally, the immunohistochemistry and cell experiments confirmed the role of SNRPE, the most significant gene in the gene signature. SNRPE was significantly overexpressed in HCC. After SNRPE knockdown, the proliferation, migration and invasion ability of the HepG2 cell line were significantly inhibited. Our study established a novel five-gene signature and nomogram to predict RFS of HCC, which may help in clinical decision-making for individual treatment.

Splicing alterations have been shown to be key tumorigenesis drivers. In this study, we identified a novel spliceosome-related genes (SRGs) signature to predict the overall survival (OS) of patients with hepatocellular carcinoma (HCC). A total of 25 SRGs were identified from the GSE14520 dataset (training set). Univariate and least absolute shrinkage and selection operator (LASSO) regression analyses were utilized to construct the signature using genes with predictive significance. We then constructed a risk model using six SRGs (BUB3, IGF2BP3, RBM3, ILF3, ZC3H13, and CCT3). The reliability and predictive power of the gene signature were validated in two validation sets (TCGA and GSE76427 dataset). Patients in training and validation sets were divided into high and low-risk groups based on the gene signature. Patients in high-risk groups exhibited a poorer OS than in low-risk groups both in the training set and two validation sets. Next, risk score, BCLC staging, TNM staging, and multinodular were combined in a nomogram for OS prediction, and the decision curve analysis (DCA) curve exhibited the excellent prediction performance of the nomogram. The functional enrichment analyses demonstrated high-risk score patients were closely related to multiple oncology characteristics and invasive-related pathways, such as Cell cycle, DNA replication, and Spliceosome. Different compositions of the tumor microenvironment and immunocyte infiltration ratio might contribute to the prognostic difference between high and low-risk score groups. In conclusion, a spliceosome-related six-gene signature exhibited good performance for predicting the OS of patients with HCC, which may aid in clinical decision-making for individual treatment.

Chaperonin containing TCP1 subunit 7 (CCT7) regulates the expression of many tumor-related proteins. We investigated the diagnostic and prognostic value of CCT7 expression for hepatocellular carcinoma (HCC). In datasets from The Cancer Genome Atlas and the Gene Expression Omnibus, CCT7 mRNA levels were greater in HCC tissues than adjacent normal tissues, and these results were validated using immunohistochemistry. In patients with early-stage disease and low alpha-fetoprotein expression, CCT7 expression was still higher in HCC tissues than normal tissues. Receiver operating characteristic curve analyses indicated that CCT7 expression had better diagnostic value than alpha-fetoprotein for HCC patients with early-stage disease and low alpha-fetoprotein expression. The positive predictive value of CCT7 expression was higher than that of alpha-fetoprotein expression. Higher CCT7 mRNA and protein levels were independent risk factors for poorer overall and recurrence-free survival in HCC patients. Greater methylation of the CpG site cg19515186 was associated with better overall survival in HCC patients. Genes co-expressed with CCT7 were upregulated in HCC and associated with poorer overall survival. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes and Gene Set Enrichment Analyses demonstrated that CCT7 expression correlated with spliceosome signaling. These findings demonstrate that CCT7 has diagnostic and prognostic value for HCC.

Abstract Background Chaperonin containing TCP1 subunit 7 (CCT7), a member of the chaperonin containing TCP1 complex (CCT), has been reported regulating the expression of many tumor-related proteins. In this study, we investigated the diagnostic and prognostic value of CCT7 expression for hepatocellular carcinoma (HCC). Methods We investigated the CCT7 expression in HCC in The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and our cohort. The diagnostic and prognostic value were verified by receiver operating characteristic curve (ROC) analysis and Kaplan-Meier analysis, respectively. The association between CCT7 expression with DNA methylation status was investigated in the TCGA database. Gene ontology (GO), The Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) analysis were employed to identify the potential pathway in which CCT7 is involved in tumorigenesis and progression. Results CCT7 expression in HCC was significantly higher than adjacent normal tissues, and elevated CCT7 expression correlated with tumor stages and tumor grade. Furthermore, the ROC curve showed CCT mRNA expression has a better diagnostic value for HCC with early-stage and low alpha-fetoprotein expression. Positive predictive value (PPV) of CCT7 was higher than alpha-fetoprotein both in the GEO and TCGA database. The Multivariate Cox Regression analysis of clinicopathologic characteristics revealed that both high mRNA and protein expression of CCT7 were independent risk factors for overall survival (OS) and recurrence-free survival (RFS). High DNA methylation of CpG site(cg19515186) was associated with low CCT7 expression and better OS in HCC. The GO, KEGG and GSEA analysis demonstrated that CCT7 mRNA expression was associated with Spliceosome signaling pathway. Conclusions The findings of this study demonstrated that CCT7 has diagnostic and prognostic value for HCC.