TPX2 enhances the transcription factor activation of PXR and enhances the resistance of hepatocellular carcinoma cells to antitumor drugs

E2F8-TPX2 axis regulates glycolysis and angiogenesis to promote progression and reduce chemosensitivity of liver cancer

Liver cancer (LC) is a global health concern, marked by its high prevalence and mortality rates and known for its resistance to chemotherapy. The treatment of LC patients is facing great challenges. Targeting protein for Xenopus kinesin-like protein 2 (TPX2) is a LC marker that has been discovered in recent years, and there are sporadic data suggesting that it has an impact on the level of chemoresistance, but the exact mechanism remains to be deciphered. Our investigation, grounded in bioinformatics strategies including the TCGA database, GEO database, K-M plot database, GSEA, Pearson correlation analysis, and detection of clinical samples, led to the identification of TPX2 and its upstream transcription factor E2F8 as differentially expressed elements in LC tissues. We also probed the role of the axis in glycolysis, angiogenesis, tumor progression, and chemoresistance in LC cells. This was achieved by a battery of molecular and cellular experiments, such as qRT-PCR, CCK-8, Transwell, flow cytometry, and angiogenesis assays. Both TPX2 and E2F8 were upregulated in LC tissues and cells with E2F8 being responsible for the upregulation of TPX2. Through bioinformatics analysis, we observed a significant enrichment of TPX2 in the glycolysis and angiogenesis pathways. Cell-based experiments corroborated these findings, demonstrating that TPX2 knockdown led to significant inhibition of glycolysis and angiogenesis, along with a suppression of the malignant progression of LC cells. This was mirrored by a reduction in the IC50 values for cisplatin and apatinib to 0.8257 µM and 10.79 µM, respectively. In contrast, E2F8 overexpression reversed these effects in LC cells, increasing the IC50 values to 3.375 and 16.06 µM, respectively. The E2F8-TPX2 axis promotes glycolysis and angiogenesis in LC cells, which in turn accelerates cancer progression and reduces chemosensitivity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10616-024-00655-w.

ACTR10 Overexpression Facilitates the Progression and Tyrosine Kinase Inhibitor Resistance in Hepatocellular Carcinoma

Background

In the present day, hepatocellular carcinoma (HCC) remains a formidable threat to human health. Actin-related protein 10 (ACTR10) is related to tyrosine kinase inhibitor (TKI) resistance. A comprehensive analysis of ACTR10 in HCC will further our understanding of the molecular mechanisms underlying this resistance phenomenon, shedding light on potential therapeutic strategies for combating TKI resistance in HCC.

Methods

We conducted an integration of high-throughput datasets across various centers, analyzing ACTR10 expression using the Cancer Cell Line Encyclopedia (CCLE) and assessing its implications through clustered regularly interspaced short palindromic repeats (CRISPR) knockout screen. Pathogenic mechanisms were elucidated through enrichment analysis. Prognostic assessment utilized Kaplan-Meier survival and univariate Cox analyses. An integrated analysis of gene expression profiles related to TKI in HCC was conducted, and TKI resistance mechanisms were explored through enrichment analysis. Potential therapeutic drugs were identified using the Drug Gene Budger database and molecular docking techniques.

Results

The standardized mean difference (SMD) of 0.34 (95% confidence interval (CI): 0.22 - 0.45, P < 0.05) and ACTR10-dependent growth in HCC cells confirm its upregulation in HCC. The area under the summary receiver operating characteristic (sROC) curve was 0.69, indicating moderate discriminative ability of ACTR10 in HCC patients. ACTR10 exerts its pro-cancer effect by influencing RNA splicing, mRNA processing and nucleocytoplasmic transport. A hazard ratio of 2.19 (95% CI: 1.56 - 3.08, P < 0.05) identifies ACTR10 as an independent prognostic risk factor. Additionally, the SMD of 0.88 (95% CI: 0.01 - 0.76, P < 0.05) validates ACTR10 as a TKI-resistance gene, mediating resistance via enhanced exocytosis, autophagy, and apoptosis in HCC patients. Trichostatin A emerges as a prospective targeted agent for HCC.

Conclusion

The upregulation of ACTR10 accelerates HCC progression, promotes TKI resistance, and emerges as a prospective target for the treatment of HCC.

Pralatrexate represses the resistance of HCC cells to molecular targeted agents via the miRNA-34a/Notch pathway

Metabolism-related pathways are important targets for intervention in the treatment of hepatocellular carcinoma (HCC), but few studies have reported on the combination of inhibitors of folate metabolism-related enzymes and molecularly targeted drugs for HCC. The results of the present work are the first to reveal the effects of an inhibitor of dihydrofolate reductase (DHFR), pralatrexate, on the sensitivity of HCC cells to molecularly targeted agents examined using multiple assays. In HCC cells, knockdown of DHFR or treatment with pralatrexate enhanced the sensitivity of HCC cells to molecularly targeted agents, such as sorafenib, regorafenib, lenvatinib, cabozantinib, or anlotinib. Mechanically, pralatrexate decreased the methylation rates of miRNA-34a's promoter region to enhance the expression of miRNA-34a. Treatment with pralatrexate inhibited the expression of Notch and its downstream factors by enhancing the expression of miRNA-34a in HCC cells. In clinical specimens, the expression of miRNA-34a was negatively correlated with DHFR expression, while DHFR expression was positively correlated with the Notch intracellular domain (NICD) and downstream factors of the Notch pathway. The expression of miRNA-34a was negatively correlated with DHFR expression, while the methylation rates of miRNA-34a's promoter were positively related to DHFR. The effect of pralatrexate on the metabolic profile of HCC cells is very different from that of small molecule inhibitors related to glycolipid metabolism. Therefore, pralatrexate upregulates the sensitivity of HCC cells to molecularly targeted drugs. These results expand our understanding of folate metabolism and HCC and can help provide more options for HCC treatment.

Enhancing antitumor activity of herceptin in HER2-positive breast cancer cells: a novel DNMT-1 inhibitor approach

HER2 antagonists remain the cornerstone of therapy for patients with HER2-positive breast cancer. This study introduces a novel small-molecule inhibitor of DNA methyltransferase 1 (DNMT-1), referred to as DI-1, designed to synergize with HER2 antagonists in treating HER2-positive breast cancer cells. Clinical data reveal a negative correlation between DNMT-1 expression and PTEN levels, and a positive correlation with the methylation rates of PTEN's promoter. In experiments with SKBR3 and BT474 cells, DI-1 effectively reduced the methylation of PTEN's promoter region, thereby upregulating PTEN expression. This upregulation, in turn, enhanced the cells' sensitivity to HER2 antagonists, indicating that DI-1's mechanism involves inhibiting DNMT-1's recruitment to PTEN's promoter region. Consequently, by increasing PTEN expression, DI-1 amplifies the sensitivity of HER2-positive breast cancer cells to treatment, suggesting its potential as a promising therapeutic strategy in this context.

A novel super-enhancer-related risk model for predicting prognosis and guiding personalized treatment in hepatocellular carcinoma

BACKGROUND

Our research endeavored to develop a robust predictive signature grounded in super-enhancer-related genes (SERGs), with the dual objectives of forecasting survival outcomes and evaluating the tumor immune microenvironment (TiME) in hepatocellular carcinoma (HCC).

METHODS

HCC RNA-sequencing data were retrieved from The Cancer Genome Atlas (TCGA), and 365 patients were randomly assigned to training or testing sets in 1:1 ratio. SERGs of HCC were downloaded from Super-Enhancer Database (SEdb). On the basis of training set, a SERGs signature was identified, and its prognostic value was confirmed by internal and external validation (GSE14520) sets. We subsequently examined the model for potential functional enrichment and the degree of tumor immune infiltration. Additionally, we carried out in vitro experiments to delve into the biological functions of CBX2 gene.

RESULTS

An SE-related prognostic model including CBX2, TPX2, EFNA3, DNASE1L3 and SOCS2 was established and validated. According to this risk model, patients in the high-risk group had a significantly worse prognosis, and their immune cell infiltration was significantly different from that of low-risk group. Moreover, the high-risk group exhibited a significant enrichment of tumor-associated pathological pathways. The SERGs signature can generally be utilized to screen HCC patients who are likely to respond to immunotherapy, as there is a positive correlation between the risk score and the Tumor Immune Dysfunction and Exclusion (TIDE) score. Furthermore, the downregulation of the CBX2 gene expression was found to inhibit HCC cell viability, migration, and cell cycle progression, while simultaneously promoting apoptosis.

CONCLUSIONS

We developed a novel HCC prognostic model utilizing SERGs, indicating that patients with high-risk score not only face a poorer prognosis but also may exhibit a diminished therapeutic response to immune checkpoint inhibitors (ICIs). This model is designed to tailor personalized treatment strategies to the individual needs of each patient, thereby improving the overall clinical outcomes for HCC patients. Furthermore, CBX2 is a promising candidate for therapeutic intervention in HCC.

Integrated Bioinformatic Analysis Reveals the Oncogenic, Survival, and Prognostic Characteristics of TPX2 in Hepatocellular Carcinoma

Targeting protein for Xenopus kinesin-like protein 2 (TPX2), a well-known mitotic protein, has been linked to carcinogenesis in several cancers. This study investigated the role of TPX2 in hepatocellular carcinoma (HCC) from various aspects using bioinformatic analyses. TPX2 expression and its prognostic value in pan-cancers were analyzed using SangerBox. TPX2 expression and its association with prognosis, immune infiltration, tumor mutations, and signaling pathways in HCC were analyzed using UALCAN, BoxKaplan-Meier Plotter, GEPIA, Human Protein Atlas, TIMER 2.0, and SangerBox. Genes co-expressed with TPX2 in HCC were analyzed using the HCCDB database, followed by functional enrichment using SangerBox. Clinical predictive models were established based on TPX2 and its co-expressed genes using the ACLBI database. TPX2 expression significantly increased in pan-cancers and was associated with survival in nearly half of the cancer types. High TPX2 expression has been linked to poor survival outcomes in patients with HCC. TPX2 expression was positively correlated with abundant infiltration of immune cells (including B cells, CD4 + /CD8 + T cells, macrophages, neutrophils, and dendritic cells), TP53 mutation, and carcinogenesis-related pathways, such as the PI3K/AKT/mTOR pathway, cellular response to hypoxia, and tumor proliferation signature. Nineteen genes were found to be co-expressed with TPX2 in HCC, and these genes showed close positive correlations and were mainly implicated in cell cycle-related functions. A prognostic model established using TPX2 and its expressed genes could stratify HCC patients into high- and low-risk groups, with a significantly shorter survival time in high-risk groups. The prognostic model performed well in predicting 1-, 3-, and 5-year survival of patients with HCC, with areas under the curve of 0.801, 0.725, and 0.711, respectively. TPX2 functions as an oncogene in HCC, and its high expression is detrimental to the survival of patients with HCC. Thus, TPX2 may be a prognostic biomarker and potential therapeutic target for HCC.

Pro-oncogene FBI-1 inhibits the ferroptosis of prostate carcinoma PC-3 cells via the microRNA-324-3p/GPX4 axis

Ferroptosis has been characterized as non-apoptotic programmed cell death and is considered a novel strategy for antitumor treatment. The factor that binds to inducer of short transcripts-1 (FBI-1) is an important proto-oncogene playing multiple roles in human malignancies and the development of resistance to therapy. However, the roles of FBI-1 in ferroptosis of endocrine independent prostate carcinoma are still unknown. The results of this study showed that FBI-1 inhibited the ferroptosis of prostate carcinoma PC-3 cells (a typical endocrine-independent prostate carcinoma cell line) via the miR-324-3p/glutathione peroxidase 4 (miR-324-3p/GPX4) axis. Overexpression of FBI-1 enhanced the expression levels of GPX4. In contrast, knockdown of FBI-1 decreased the expression of GPX4 and induced the ferroptosis of PC-3 cells. The miR-324-3p decreased the expression of GPX4 by targeting the 3'-untranslated region of GPX4 to induce ferroptosis. Notably, FBI-1 increased the expression of GPX4 by repressing the levels of miR-324-3p. The transcription of miR-324-3p was mediated by specificity protein 1 (SP1), and FBI-1 repressed the expression of miR-324-3p by repressing the activation of SP1. In clinical specimens, the endogenous levels of FBI-1 were positively associated with Glutathione Peroxidase 4 (GPX4) and negatively related with the expression of miR-324-3p. Therefore, the results indicated that the miR-324-3p/GPX4 axis participates in the FBI-1-mediated ferroptosis of prostate carcinoma cells.

TPX2 upregulates MMP13 to promote the progression of lipopolysaccharide-induced osteoarthritis

Purpose

This study seeks to identify potential clinical biomarkers for osteoarthritis (OA) using bioinformatics and investigate OA mechanisms through cellular assays.

Methods

Differentially Expressed Genes (DEGs) from GSE52042 (four OA samples, four control samples) were screened and analyzed with protein-protein interaction (PPI) analysis. Overlapping genes in GSE52042 and GSE206848 (seven OA samples, and seven control samples) were identified and evaluated using Gene Set Enrichment Analysis (GSEA) and clinical diagnostic value analysis to determine the hub gene. Finally, whether and how the hub gene impacts LPS-induced OA progression was explored by in vitro experiments, including Western blotting (WB), co-immunoprecipitation (Co-IP), flow cytometry, etc.

Result

Bioinformatics analysis of DEGs (142 up-regulated and 171 down-regulated) in GSE52042 identified two overlapping genes (U2AF2, TPX2) that exhibit significant clinical diagnostic value. These genes are up-regulated in OA samples from both GSE52042 and GSE206848 datasets. Notably, TPX2, which AUC = 0.873 was identified as the hub gene. In vitro experiments have demonstrated that silencing TPX2 can alleviate damage to chondrocytes induced by lipopolysaccharide (LPS). Furthermore, there is a protein interaction between TPX2 and MMP13 in OA. Excessive MMP13 can attenuate the effects of TPX2 knockdown on LPS-induced changes in OA protein expression, cell growth, and apoptosis.

Conclusion

In conclusion, our findings shed light on the molecular mechanisms of OA and suggested TPX2 as a potential therapeutic target. TPX2 could promote the progression of LPS-induced OA by up-regulating the expression of MMP13, which provides some implications for clinical research.

Bile acids, gut microbiota, and therapeutic insights in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a prevalent and aggressive liver malignancy. The interplay between bile acids (BAs) and the gut microbiota has emerged as a critical factor in HCC development and progression. Under normal conditions, BA metabolism is tightly regulated through a bidirectional interplay between gut microorganisms and BAs. The gut microbiota plays a critical role in BA metabolism, and BAs are endogenous signaling molecules that help maintain liver and intestinal homeostasis. Of note, dysbiotic changes in the gut microbiota during pathogenesis and cancer development can disrupt BA homeostasis, thereby leading to liver inflammation and fibrosis, and ultimately contributing to HCC development. Therefore, understanding the intricate interplay between BAs and the gut microbiota is crucial for elucidating the mechanisms underlying hepatocarcinogenesis. In this review, we comprehensively explore the roles and functions of BA metabolism, with a focus on the interactions between BAs and gut microorganisms in HCC. Additionally, therapeutic strategies targeting BA metabolism and the gut microbiota are discussed, including the use of BA agonists/antagonists, probiotic/prebiotic and dietary interventions, fecal microbiota transplantation, and engineered bacteria. In summary, understanding the complex BA-microbiota crosstalk can provide valuable insights into HCC development and facilitate the development of innovative therapeutic approaches for liver malignancy.