The morbidity and mortality of gallbladder cancer were rising. At present, there was no effective chemotherapy regimen, so it was of great practical significance to explore new therapy target. Ferroptosis is a non-apoptotic form of cell death characterized by iron-dependent lipid peroxidation and metabolic constraints. In recent years, it had become a research hotspot. Many studies had been carried out on the relevant biological mechanisms such as liver cancer, breast cancer, pancreatic cancer, and other cancer. At present, there are still few studies on ferroptosis in gallbladder cancer, and its relevant mechanisms need further in-depth analysis, which opens up a new research direction for exploring the treatment of gallbladder cancer.
Objective To summarize the papers about the research status and prospects of ferroptosis in hepatocellular carcinoma (HCC) and its drug resistance in recent years in order to provide directions and ideas for the treatment of HCC. Method The relevant literatures at home and abroad in recent years about ferroptosis in HCC and its drug resistance were reviewed. Results The mechanism of ferroptosis in the development and drug resistance of HCC was complicated, involving multiple protein and molecular pathways. Ferroptosis played an important role in improving chemotherapy and sorafenib resistance, and it had a broad application prospect in HCC. Conclusions The molecular mechanism of ferroptosis in HCC and its drug resistance has not been fully elucidated. Further research on the mechanism of ferroptosis in HCC may provide new molecular therapeutic targets for HCC. Ferroptosis has a broad application prospect in the treatment of HCC.
ObjectiveTo investigate the effect of Huaier extract on the proliferation, invasion, and ferroptosis pathways of colorectal cancer (CRC) cells. MethodsThe CRC cell line SW620 was cultured in vitro, and the cells were treated with Huaier extract solution at different concentrations (0, 5, 10, 20, and 50 mg/mL). The cell counting kit 8 was used to detect the proliferation of CRC cells at different concentrations to scree the test dose of the Huaier extract. The Transwell and the scratch assays were used to detect the cell invasion and migration. The reactive oxygen species (ROS), glutathione (GSH), and malondialdehyde (MDA) kits were used to detect the cellular oxidative stress level. The Western blot was used to detect the ferroptosis-related proteins levels, including glutathione peroxidase 4 (GPX4), nuclear factor E2-related factor 2 (NRF2), and high mobility group box-1 (HMGB1). ResultsIn this study, it could statistically inhibit the proliferation of CRC cells after 48 h interfering with Huaier extract at 10, 20 mg/mL concentrations, so we chose 10, 20 mg/mL concentrations as the test dose, 0 mg/L as the control dose. Huaier extract effectively inhibited the migration and invasion abilities of SW620 cells in a dose-dependent manner (Transwell: F=480.0, P<0.001; scratch assay: F=24.3, P=0.001). The level of ROS in the SW620 cells increased with the increase of concentration in a dose-dependent manner (F=806.3, P<0.001). the level of GSH in the SW620 cells decreased with the increase of concentration in a dose-dependent manner (F=35.0, P=0.005), but the level of MDA was highest at 10 mg/mL (F=22.9, P=0.002) . Further the Huaier extract could effectively reduce the expressions of GPX4 (F=74.2, P<0.001), NRF2 (F=32.8, P=0.001), and HMGB1 (F=55.1, P<0.001) in a dose-dependent manner. ConclusionFrom the results of this study, Huaier extract at 10 and 20 mg/mL concentrations can inhibit the proliferation and invasion of CRC SW620 cells by inducing ferroptosis.
ObjectiveTo establish and validate the diagnostic model of ferroptosis genes for acute myocardial infarction (AMI) based on bioinformatics. MethodsFive AMI gene expression data were obtained from Gene Expression Omnibus (GEO), namely GSE66360, GSE48060, GSE60993, GSE83500, GSE34198. Among them, GSE66360 was used as the training set to perform differential analysis, and intersection of differential genes and ferroptosis genes was taken to obtain differentially expressed ferroptosis genes in AMI. GO and KEGG enrichment analyses were performed using Metascape website. Subsequently, random forest (RF) algorithm was used to screen out key genes with high classification performance according to the Keeny coefficient score, and artificial neural network (ANN) diagnostic model of AMI ferroptosis feature gene was constructed by model group GSE83500. The area under the receiver operating characteristic curve (AUC) of 10-fold cross-validation was used to evaluate the performance and generalization ability of the model, and 3 external independent datasets were used to verify the diagnostic performance of this model. The single sample gene set enrichment analysis was used to explore the difference in immune cell infiltration between infarcted myocardium and normal myocardium after AMI. In addition, correlation analysis between immune cells and key genes was also conducted. Finally, potential drugs that would prevent and treat AMI by regulating ferroptosis were screened out from the Coremin Medical platform. ResultsA total of 16 differentially expressed ferroptosis genes were obtained in the training set, GO enrichment analysis showed that they mainly participated in biological functions such as cellular response to biological stimuli and chemical stress, and regulation of interleukin 17. KEGG enrichment analysis showed that these genes were significantly enriched in NOD-like receptor signaling pathway, programmed cell necrosis, Leishmaniasis and other pathways. Four genes with good classification performance were screened out using RF algorithm, namely EPAS1, SLC7A5, FTH1, and ZFP36. The results of 10-fold cross-validation showed that the minimum AUC value was 0.746, the maximum value was 0.906, and the average value was 0.805. The AUC of the ANN model was 0.859, and the AUC values of the three independent validation sets were 0.763 (GSE48060), 0.673 (GSE60993), 0.698 (GSE34198). Immune cell infiltration found that macrophages, mast cells and monocytes were significantly active after AMI. Correlation analysis found that there were positive correlations between 4 key genes and activated dendritic cells, eosinophils and γδT cells. A total of 20 potential western medicines were predicted which could prevent and treat AMI by regulating ferroptosis, and the predicted potential Chinese medicine was mainly heat-clearing and detoxifying and blood-activating and removing blood stasis drugs. ConclusionThe identified AMI ferroptosis genes by bioinformatics method have certain diagnostic significance, which provides a reference for disease diagnosis and treatment.
ObjectiveTo investigate the expression profile, prognostic value, gene co-expression network, and immunomodulatory role of BRF1 in a pan-cancer context, and to explore its biological functions and molecular regulatory mechanisms in esophageal squamous cell carcinoma (ESCC). MethodsThe pan-cancer dataset from The Cancer Genome Atlas (TCGA) was utilized to analyze the differential expression of BRF1 in tumor versus normal tissues, its association with patient survival, pathway enrichment for co-expressed genes, and immune features (including immune checkpoints, cytokines, and immune cell infiltration). The expression profile of BRF1 in ESCC was validated using the Gene Expression Omnibus (GEO) database. In vitro, BRF1 was knocked down in ESCC cells using siRNA. Cell proliferation and migration were assessed by MTT and Transwell assays, respectively. The expression levels of proliferation- and migration-related proteins were detected by Western blotting. The correlation between BRF1 and ferroptosis was analyzed using TCGA data. ResultsBRF1 was significantly upregulated in over 20 types of cancer, and its high expression was associated with poor prognosis in patients with adrenocortical carcinoma and prostate adenocarcinoma. BRF1 was found to positively regulate the T-cell-mediated cell death pathway in esophageal adenocarcinoma and was associated with the circadian rhythm regulation pathway in pancreatic adenocarcinoma. The correlation of BRF1 with immune checkpoints, cytokine networks, and immune cell infiltration was found to be cancer type-specific. In vitro experiments demonstrated that knocking down BRF1 significantly inhibited the proliferation of ESCC cells, accompanied by the downregulation of the proliferation marker PCNA. Cell migration was also significantly impaired, with decreased expression of Vimentin and MMPs and increased expression of E-cadherin. Furthermore, the expression of BRF1 was positively correlated with that of ferroptosis-antagonizing genes, such as GPX4, HSPA5, and SLC7A11. ConclusionBRF1 plays complex roles in pan-cancer, participating in the regulation of tumorigenesis, progression, and immune infiltration. BRF1 promotes the proliferation and migration of ESCC cells, a mechanism potentially associated with the regulation of ferroptosis resistance. These findings suggest that BRF1 could be a potential therapeutic target for ESCC.
ObjectiveTo summarize a comprehensive overview of the mechanism of ferroptosis and its associated microRNAs in the occurrence and development of hepatocellular carcinoma (HCC), and to offer novel insights and potential avenues for tumor marker screening and targeted treatment in clinical hepatocellular carcinoma patients. MethodThe literatures on the basic and clinical application research of ferroptosis and related microRNA in the occurrence, development and prognosis of HCC at home and abroad in recent years were reviewed and summarized, and the research progress of microRNA regulating ferroptosis in HCC was summarized. ResultsMicroRNA, a type of non-coding small RNA, had the ability to regulate gene expression at the post-transcriptional and translational levels. It held promising potential in the diagnosis and treatment of HCC. Ferroptosis, on the other hand, was a form of cell death triggered by iron-dependent lipid peroxidation. It played a crucial role in the development of HCC. A series of miRNAs related to ferroptosis might act as HCC growth regulators to regulate the growth of cancer cells, or reverse the drug resistance of cancer cells, thereby promoting or inhibiting the occurrence and progression of HCC. ConclusionsMicroRNA can regulate the occurrence and development of HCC through the ferroptosis pathway and may become tumor markers for the early diagnosis of HCC. Additionally, microRNA may also serve as a related therapeutic target and provide a new treatment option for HCC.
Objective To observe the expression of hepcidin-ferroportin (FPN) pathway in adenine-induced chronic kidney disease (CKD) rat model and to explore the mechanism of its involvement in renal fibrosis in CKD. Methods A total of 20 6-week-old male SD rats without specific pathogen were selected. The rats were divided into control group and CKD group, with 10 rats in each group, using a simple random method. Rats were sacrificed at the end of the second and sixth weeks after modeling. The levels of serum creatinine (Scr), blood urea nitrogen (BUN) and 24 h urine protein quantification were measured. The pathological changes of rats were observed. The iron content of rat kidney tissue was detected by colorimetric method, and the level of serum hepcidin-25 was detected by enzyme linked immunosorbent assay method in both groups. Immunohistochemistry and reverse transcription-polymerase chain reaction were used to detect the renal protein and mRNA expression of α-smooth muscle actin (α-SMA), collagen type Ⅰ (Col-Ⅰ), FPN1, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), nuclear factor kappa-B (NF-κB) P65. Results Compared with the control group, the levels of Scr, BUN, and 24 h urine protein quantification were higher in the CKD group at the end of the second and sixth weeks of modeling (P<0.05). The results of renal tissue staining showed that the CKD group had obvious glomerular structural disorders, tubular dilation, and interstitial collagen fiber deposition. Compared with the control group, the serum hepcidin-25 level and the iron content of kidney tissues in the CKD group were significantly higher, and correlation analysis suggested that both were positively correlated with the renal function of rats (P<0.05). Compared with the control group, the protein and mRNA expression levels of α-SMA, Col-Ⅰ, HAMP, IL-6, TNF-α, NF-κB P65 were higher (P<0.05), while FPN1 expression was lower in CKD group at the end of the second and sixth weeks of modeling (P<0.05). Correlation analysis results showed that HAMP mRNA expression was positively correlated with α-SMA, Col-Ⅰ, IL-6, TNF-α, and NF-κB p65 (P<0.001), which was negatively correlated with FPN1 mRNA expression (P<0.001). FPN1 mRNA expression was significantly negatively correlated with α-SMA, Col-Ⅰ (P<0.001). Conclusions Ferroptosis may be present in the adenine-induced rat model of CKD, and it may be involved in the process of renal fibrosis through the interaction of HAMP-FPN signaling pathway with the inflammatory response. Serum hepcidin-25 is expected to be a serological marker for the early diagnosis of CKD.
ObjectiveTo understand the molecular mechanism of ferroptosis and its research progress and future prospects in pancreatic cancer. MethodThe relevant literature on the molecular mechanism of ferroptosis and its basic and clinical application in the occurrence and development of pancreatic cancer was retrievaled and reviewed. ResultsFerroptosis was a non-apoptotic form of cell death that depended on iron aggregation, and its molecular biological features included iron ion overload, reactive oxygen species accumulation, lipid peroxidation, and so on. Ferroptosis was closely related to cell metabolism, and the imbalance of ferroptosis caused by abnormal metabolism also existed during the tumorigenesis and progression of pancreatic cancer, which in turn triggered the abnormal proliferation of pancreatic cancer cells and leaded to their progression. By regulating the key molecular signaling pathways of ferroptosis, it was expected to find new drug targets and therapeutic pathways for pancreatic cancer treatment. The results of ferroptosis-related studies so far had shown the potential for future translational research in the field of pancreatic cancer treatment. ConclusionsThe mechanism of ferroptosis is of great value in pancreatic cancer research. At present, there are still many uncharted areas in the study of ferroptosis, and the molecular mechanisms involved are still poorly understood. In the future, as the study of ferroptosis continues, it is expected to provide new ideas for pancreatic cancer treatment and discover new targets for drug development.
Immunoglobulin A nephropathy (IgAN) is an immune-mediated chronic inflammatory disease with a complex pathogenesis and diverse clinical manifestations. Currently, there is no specific treatment plan. Programmed cell death is an active and orderly way of cell death controlled by genes in the body, which maintains the homeostasis of the body and the development of organs and tissues by participating in various molecular signaling pathways. In recent years, programmed cell death has played an important regulatory role in the occurrence and development of IgAN, involving complex signaling pathways. Under pathological conditions, it may relieve kidney damage through various pathways such as reducing oxidative stress, inhibiting inflammation, and improving energy metabolism. This article provides a review of the research progress of IgAN in apoptosis, autophagy, pyroptosis, ferroptosis,and cuproptosis in order to provide new therapeutic targets for IgAN.
ObjectiveTo construct a prognostic prediction model for hepatocellular carcinoma (HCC) based on disulfidptosis-associated genes (DAGs) and ferroptosis-associated genes (FAGs) using data from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases and explore the immune characteristics and antitumor drug sensitivity of HCC patients with high- and low-risk score. MethodsThe transcriptomic and clinical data of HCC were downloaded from the TCGA and ICGC databases. The expression levels of DAGs and FAGs were extracted. Subsequently, the differentially expressed and prognostically relevant DAGs and FAGs (DFAGs) were screened through differential expression and prognostic analysis. A prognostic prediction model for HCC was constructed by LASSO regression analysis. The prognostic value of risk factors was evaluated using univariate and multivariate Cox regression analyses, Kaplan-Meier survival analysis, receiver operating characteristic curves, principal component analysis, and t-distributed stochastic neighbor embedding. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to further elucidate the mechanisms of genes associated with HCC prognosis. The impact of risk factors on immune cells and immune cells functions was analyzed using single-sample gene set enrichment analysis. Based on the Genomics of Drug Sensitivity in Cancer database, the oncoPredict package was used to predict responses to antitumor drugs in for different risk groups. ResultsFour DFAGs (SLC7A11, SLC1A5, G6PD, and LRPPRC) with respective risk coefficients of 0.0350, 0.0442, 0.1597, and 0.0132 were selected to construct the prognostic prediction model. The risk score of prognostic prediction model was calculated as: Risk score =(0.0350×SLC7A11 expression level) + (0.0442×SLC1A5 expression level) + (0.159 7×G6PD expression level) + (0.013 2×LRPPRC expression level). The multivariate Cox regression analysis indicated that a high-risk score was an independent risk factor for HCC patient survival [HR (95%CI) = 5.414 (1.918, 15.279), P<0.001]. Both TCGA and ICGC datasets demonstrated that the high-risk patients had significantly worse survival than low-risk patients (P<0.001 and P=0.003, respectively). Enrichment analysis revealed that the risk-associated genes influenced HCC progression through multiple pathways, such as immune response, cell cycle, glycolysis, gluconeogenesis. Immune analysis showed that the high-risk patients exhibited increased infiltration of immunosuppressive cells, such as activated dendritic cells, macrophages, and regulatory T cells, while natural killer cell infiltration was significantly reduced. The drug sensitivity analysis suggested that the high-risk HCC patients might respond better to 5-fluorouracil, afatinib, cyclophosphamide, and lapatinib, whereas the low-risk patients might benefit more from oxaliplatin and sorafenib. ConclusionsHCC prognosis prediction model based on DFAGs in this study suggests a certain predictive value for the survival of HCC patients in the data from both TCGA and ICGC datasets. There are significant differences in pionts of immune cells infiltration and immune cells functions between high-risk and low-risk HCC patients. Additionally, significant differences exist in sensitivity to targeted drugs and chemotherapeutic drugs. This model can provide some references for immunotherapy, personalized treatment, and prognosis evaluation of HCC patients.