Enhancement of gemcitabine sensitivity in intrahepatic cholangiocarcinoma through Saikosaponin-a mediated modulation of the p-AKT/BCL-6/ABCA1 axis.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) remains a significant challenge in cancer therapy, especially due to its resistance to established treatments like Gemcitabine, necessitating novel therapeutic approaches. METHODS: This study utilized Gemcitabine-resistant cell lines, patient-derived organotypic tumor spheroids (PDOTs), and patient-derived xenografts (PDX) to evaluate the effects of Saikosaponin-a (SSA) on ICC cellular proliferation, migration, apoptosis, and its potential synergistic interaction with Gemcitabine. Techniques such as transcriptome sequencing, Luciferase reporter assays, and molecular docking were employed to unravel the molecular mechanisms. RESULTS: SSA exhibited antitumor effects in both in vitro and PDX models, indicating its considerable potential for ICC treatment. SSA markedly inhibited ICC progression by reducing cellular proliferation, enhancing apoptosis, and decreasing migration and invasion. Crucially, it augmented Gemcitabine's efficacy by targeting the p-AKT/BCL6/ABCA1 signaling pathway. This modulation led to the downregulation of p-AKT and suppression of BCL6 transcriptional activity, ultimately reducing ABCA1 expression and enhancing chemosensitivity to Gemcitabine. Additionally, ABCA1 was validated as a predictive biomarker for drug resistance, with a direct correlation between ABCA1 expression levels and the IC50 values of various small molecule drugs in ICC gene profiles. CONCLUSION: This study highlights the synergistic potential of SSA combined with Gemcitabine in enhancing therapeutic efficacy against ICC and identifies ABCA1 as a key biomarker for drug responsiveness. Furthermore, the introduction of the novel PDOTs microfluidic model provides enhanced insights into ICC research. This combination strategy may provide a novel approach to overcoming treatment challenges in ICC.

Development and validation of a chromatin regulator signature for predicting prognosis hepatocellular carcinoma patient.

Background: Hepatocellular carcinoma (HCC) is a malignancy with a bleak prognosis. Although emerging research increasingly supports the involvement of chromatin regulators (CRs) in cancer development, CRs in HCC patients have not received proportionate attention. This study aimed to investigate the role and prognostic significance of CRs in HCC patients, providing new insights for clinical diagnosis and treatment strategies. Methods: We analyzed 424 samples in The Cancer Genome Atlas-Liver hepatocellular carcinoma (TCGA-LIHC) data to identify key CR genes associated with HCC prognosis by differential expression and univariate Cox regression analyses. LASSO-multivariate Cox regression method was used for construction of a prognostic signature and development of a CR-related prognosis model. The prognosis capacity of the model was evaluated via Kaplan-Meier method. Relationship between the model and tumor microenvironment (TME) was evaluated. Additionally, clinical variables and the model were incorporated to create a nomogram. The role of the prognostic gene MRG-binding protein (MRGBP) in HCC was elucidated by immunohistochemistry and semiquantitative analysis. Results: A risk score model, comprising B-lymphoma Mo-MLV insertion region 1 (BMI1), chromobox 2 (CBX2), and MRGBP, was constructed. The area under the curve (AUC) of the CR-based signature is 0.698 (P<0.05), exhibiting robust predictive power. Functional and pathway analyses illuminated the biological relevance of these genes. Immune microenvironment analysis suggested potential implications for immunotherapy. Drug sensitivity analysis identified agents for targeted treatment. Clinical samples show that MRGBP is highly expressed in HCC tissues. Conclusions: This CR-based signature shows promise as a valuable prognostic tool for HCC patients. It demonstrates predictive capabilities, independence from other clinical factors, and potential clinical applicability. In addition, we need more experiments to validate our findings. These findings offer insights into HCC prognosis and treatment, with implications for personalized medicine and improved patient outcomes.

PANoptosis-based molecular subtyping and HPAN-index predicts therapeutic response and survival in hepatocellular carcinoma.

Background: Hepatocellular carcinoma (HCC) is a highly prevalent and fatal cancer. The role of PANoptosis, a novel form of programmed cell death, in HCC is yet to be fully understood. This study focuses on identifying and analyzing PANoptosis-associated differentially expressed genes in HCC (HPAN_DEGs), aiming to enhance our understanding of HCC pathogenesis and potential treatment strategies. Methods: We analyzed HCC differentially expressed genes from TCGA and IGCG databases and mapped them to the PANoptosis gene set, identifying 69 HPAN_DEGs. These genes underwent enrichment analyses, and consensus clustering analysis was used to determine three distinct HCC subgroups based on their expression profiles. The immune characteristics and mutation landscape of these subgroups were evaluated, and drug sensitivity was predicted using the HPAN-index and relevant databases. Results: The HPAN_DEGs were mainly enriched in pathways associated with the cell cycle, DNA damage, Drug metabolism, Cytokines, and Immune receptors. We identified three HCC subtypes (Cluster_1, SFN+PDK4-; Cluster_2, SFN-PDK4+; Cluster_3, SFN/PDK4 intermediate expression) based on the expression profiles of the 69 HPAN_DEGs. These subtypes exhibited distinct clinical outcomes, immune characteristics, and mutation landscapes. The HPAN-index, generated by machine learning using the expression levels of 69 HPAN_DEGs, was identified as an independent prognostic factor for HCC. Moreover, the high HPAN-index group exhibited a high response to immunotherapy, while the low HPAN-index group showed sensitivity to small molecule targeted drugs. Notably, we observed that the YWHAB gene plays a significant role in Sorafenib resistance. Conclusion: This study identified 69 HPAN_DEGs crucial to tumor growth, immune infiltration, and drug resistance in HCC. Additionally, we discovered three distinct HCC subtypes and constructed an HPAN-index to predict immunotherapeutic response and drug sensitivity. Our findings underscore the role of YWHAB in Sorafenib resistance, presenting valuable insights for personalized therapeutic strategy development in HCC.