Project description:As all known, hepatocellular carcinoma (HCC) accounts for the majority of cases of liver cancer, which is the third leading cause of cancer mortality globally. Moreover, HCC is always accompanied with HBV infection. Here, we used CMAP, a systematic approach for the discovery of functional connections among diseases and drug actions, to identify quercetin as an effective compound to potentially treat HCC. Furthermore, we proved the inhibitory effects of quercetin on HCC cells, shown as decreased cell viability in HCCLM3 and HepG2 cells. In addition, quercetin disturbed the migration of HCC cells in a dose-dependent manner. Furthermore, quercetin treatments effectively elevated the activities of caspase-3 as well as caspase-9 and increased the Bax expression in HCC cells accompanied with decreased levels of p53 and BCL-2, indicating an enhancement of apoptosis induced by quercetin. Notably, quercetin depressed the activities of antioxidant enzymes, including SOD, GST, GPx and CAT, leading to an increase of ROS accumulation. Additionally, quercetin also exhibited an obvious inhibition of tumor growth of HCC in vivo. Through RNA-seq, results showed that genes related to regulation of cell proliferations were enriched, in which IGFBP3 played a critical role in mediating the effects of quercetin on HCC cells by reducing PI3K-mTOR activation. After silencing IGFBP3 in HCCLM3 cells, quercetin exhibited weaken effects on cell proliferation and apoptosis. Notably, IGFBP3 promotor strengthened the suppressed effects induced by single quercetin administration, indicating a potential drug combination for treatments of HCC. Collectively, this study clarified a novel mechanism underlying the inhibitory effects of quercetin on HCC, providing a potential approach for HCC treatment in clinic.
Project description:Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is a leading cause of cancer related mortality worldwide. HCC occurs typically from a background of chronic liver disease, caused by a spectrum of predisposing conditions. Tumour development is driven by the expansion of clones that accumulated progressive driver mutations, with hepatocytes the most likely cell of origin. However, the landscape of driver mutations in HCC is independent of the underlying aetiologies. Despite an increasing range of systemic treatment options for advanced HCC outcomes remain heterogeneous and typically poor. Emerging data suggest that drug efficacies depend on disease aetiology and genetic alterations. Exploring subtypes in preclinical models with human relevance will therefore be essential to advance precision medicine in HCC. We generated over twenty-five new genetically-driven in vivo and in vitro HCC models. Our models represent multiple features of human HCC, including clonal origin, histopathological appearance, and metastasis to distant organs. We integrated transcriptomic data from the mouse models with human HCC data and identified four common human-mouse subtype clusters. The subtype clusters had distinct transcriptomic characteristics that aligned with histopathology. In a proof-of-principle analysis, we verified response to standard of care treatment and used a linked in vitro-in vivo pipeline to identify a promising therapeutic candidate, cladribine, that has not been linked to HCC treatment before. Cladribine acts in a highly effective subtype-specific manner in combination with standard of care therapy.
Project description:Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, is a leading cause of cancer related mortality worldwide. HCC occurs typically from a background of chronic liver disease, caused by a spectrum of predisposing conditions. Tumour development is driven by the expansion of clones that accumulated progressive driver mutations, with hepatocytes the most likely cell of origin. However, the landscape of driver mutations in HCC is independent of the underlying aetiologies. Despite an increasing range of systemic treatment options for advanced HCC outcomes remain heterogeneous and typically poor. Emerging data suggest that drug efficacies depend on disease aetiology and genetic alterations. Exploring subtypes in preclinical models with human relevance will therefore be essential to advance precision medicine in HCC. We generated over twenty-five new genetically-driven in vivo and in vitro HCC models. Our models represent multiple features of human HCC, including clonal origin, histopathological appearance, and metastasis to distant organs. We integrated transcriptomic data from the mouse models with human HCC data and identified four common human-mouse subtype clusters. The subtype clusters had distinct transcriptomic characteristics that aligned with histopathology. In a proof-of-principle analysis, we verified response to standard of care treatment and used a linked in vitro-in vivo pipeline to identify a promising therapeutic candidate, cladribine, that has not been linked to HCC treatment before. Cladribine acts in a highly effective subtype-specific manner in combination with standard of care therapy.
Project description:Molecular targeted therapy has shown promise as a treatment for advanced hepatocellular carcinoma (HCC). Sorafenib, a multikinase inhibitor, recently received FDA approval for the treatment of advanced HCC. However, although sorafenib is well tolerated, concern for its safety has been expressed. Celecoxib (CelebrexM-BM-.) is a selective cyclooxygenase-2 (COX-2) inhibitor wich exhibits antitumor effects in human HCC cells. The present study examined the interaction between celecoxib and sorafenib in two human liver tumor cell lines HepG2 and Huh7. Our data showed that each inhibitor reduced cell growth and the combination of celecoxib with sorafenib synergistically inhibited cell growth and increased apoptosis. To better understand the molecular mechanisms underlying the synergistic antitumor activity of combination, we investigated the expression profile of the combination-treated liver cancer cell lines, using microarray analysis. Combination treatment significantly altered expression levels of 1,986 and 2,483 transcripts in HepG2 and Huh7 cells, respectively. Genes, functionally involved in cell death, signal transduction and regulation of transcription were predominantly up-regulated, while genes implicated in metabolism, cell cycle control and DNA replication and repair were mainly down-regulated upon treatment. However, combination-treated HCC cell line displayed specificity in the expression and activity of crucial factors involved in hepatocarcinogenesis. The altered expression of some of these genes was confirmed by semiquantitative and quantitative RT-PCR and by Western blotting. Many novel genes emerged from our transcriptomics analyses, and further functional analyses may determine whether these genes can serve as potential molecular targets for more effective anti-HCC strategies. To identify new potential mechanisms of combined action of celecoxib and sorafenib, their effects on global gene expression in both cell lines were investigated and compared using the DNA microarray technology. Agilent 44K Human Whole Genome Oligonucleotide Microarrays (containing ~44,000 genes) were used to identify global gene expression changes in the HepG2 and Huh7 hepatocellular carcinoma (HCC) cell lines, following simultaneous treatment with 50 M-BM-5M celecoxib and 7.5 M-BM-5M sorafenib for 48 hours. All microarray experiments (a total of four) were performed in duplicates applying dye-swaps to avoid labeling bias.
Project description:To enhance hepatocellular carcinoma (HCC) treatment, the combination of Nobelitin (NOB) and Sorafenib (SOR) is being explored. Nobelitin is utilized to induce the expression of BMAL1, a circadian rhythm-related protein, with the goal of improving the effectiveness of SOR in treating HCC. This innovative strategy holds promise for optimizing treatment outcomes for HCC patients.