Gene Expression Profiling Interactive Analysis Research Articles

Baicalein inhibits cell proliferation and induces apoptosis in brain glioma cells by downregulating the LGR4-EGFR pathway.

Patients diagnosed with brain glioma have a poor prognosis and limited therapeutic options. LGR4 is overexpressed in brain glioma and involved in the tumorigenesis of many tumors. Baicalein (BAI) is a kind of flavonoid that has exhibited anti-tumor effects in various tumors. Nevertheless, the functions and associations of BAI and LGR4 in brain glioma remain unclear. In this study, Gene Expression Profiling Interactive Analysis and Human Protein Atlas databases were used to perform expression and survival analysis of LGR4 in brain glioma patients. Subsequently, the significance of LGR4-EGFR in brain glioma cells (HS683 and KNS89) and brain glioma animal models was explored by RNA interference and subcutaneous transplantation. Additionally, brain glioma cells were treated with BAI to explore the roles and mechanisms of BAI in brain glioma. The results showed that LGR4 was highly expressed in brain glioma and was related to a poor prognosis. LGR4 knockdown repressed the proliferation and EGFR phosphorylation but induced apoptosis in brain glioma cells. However, these effects were reversed by EGFR overexpression and CBL knockdown. In contrast, both in vitro and in vivo experiments revealed that LGR4 overexpression facilitated brain glioma cell malignant behavior and promoted tumor development, but these effects were rescued by BAI and an EGFR inhibitor. Furthermore, si-LGR4 accelerated EGFR protein degradation, while oe-LGR4 exhibited the opposite effect. Without affecting normal cellular viability, BAI inhibited malignant behavior, interacted with LGR4, and blocked the LGR4-EGFR pathway for brain glioma cells. In conclusion, our data suggested that BAI inhibited brain glioma cell proliferation and induced apoptosis by downregulating the LGR4-EGFR pathway, which provides a novel strategy and potential therapeutic targets to treat brain glioma.

Dysgerminomas: germ cell tumors exhibit high expression of PD-L1 and associated with high TILs and good prognosis

Ovarian germ cell tumors (OVGCTs) account for 28% of all diagnosed ovarian cancers, and malignant germ cell tumors specifically account for approximately 13% of diagnosed ovarian cancers in Saudi Arabia. Although most germ cell tumor patients have a high survival rate, patients who experience tumor recurrence have a poor prognosis and present with more aggressive and chemoresistant tumors. The use of immunotherapeutic agents such as PD-L1/PD-1 inhibitors for OVGCTs remains very limited because few studies have described the immunological characteristics of these tumors. This study is the first to investigate PD-L1 expression in ovarian germ cell tumors and explore the role of PD-L1 expression in tumor microenvironment cells and genetic alterations. A total of 34 ovarian germ cell tumors were collected from pathology archives. The collected tumor tissues included ten dysgerminomas, five yolk sac tumors, five immature teratomas, and one mature teratoma, and the remaining samples were mixed germ cell tumors. The tumors were analyzed using immunohistochemical analysis to determine PD-L1 expression, immune cell infiltration and cancer stem cell populations and their correlation with clinical outcome. Furthermore, the genetic alterations in different subtypes of germ cell tumors were correlated with PD-L1 expression and clinical outcome. Datasets for testicular germ cells (TGCTs) were retrieved from The Cancer Genome Atlas (TCGA) and analyzed using cBioPortal (cbioportal.org) and Gene Expression Profiling Interactive Analysis (GEPIA). Compared with yolk sac tumors, dysgerminomas highly express PD-L1 and are associated with high levels of tumor infiltrating lymphocytes (TILs) and stem cell markers. In addition, compared with PD-L1-negative yolk sac tissue, dysgerminomas/seminomas with high PD-L1 expression are associated with more genetic alterations and a better prognosis. Our findings will contribute to the knowledge about the potential benefits of ovarian cancer immunotherapy in specific subsets of germ cell tumor patients and the risk factors for resistance mediated by tumor microenvironment cells.

Determination of FGFR1 Functions in Cytarabine Treatment of Acute Myeloid Leukemia Through Bioinformatics Analysis

Aim: Among the most prevalent subtypes of acute leukemia is acute myeloid leukemia (LAML). Consequently, it is essential to understand the molecular causes of LAML and find its predictive and diagnostic biomarkers. The aim of this study is to determine the molecular functions of fibroblast growth factor receptor 1(FGFR1) involved in LAML pathogenesis and its potential therapeutic effect for AML treatment. Methods: The molecular docking interaction of the Cytarabine with its target FGFR1 was examined. The Gene Expression Profiling Interactive Analysis, version 2 (GEPIA2), and UALCAN tools database were used to obtain the LAML gene expression datasets. Gene functional annotation was performed to investigate the DEGs' possible role. Using the Interactive Gene database retrieval tool (STRING) and a few chosen hub modules from the GeneMANIA database, the protein- protein interaction (PPI) network were constructed. A survival analysis was performed on the effects of hub genes on the overall survival of LAML patients. Results: As a result of docking, a strong interaction was observed between cytarabine and FGFR1. It has been discovered that cytarabine can reverse FGFR1 expression. The survival study results showed an association between the prognosis of AML patients and one of the central genes, FGFR1. Conclusion: The expression profile and functions of FGFR1 were determined in LAML patients. It has been shown that FGFR1 can be a viable therapeutic target for LAML and a possible biomarker for diagnosis.

Clinical and prognostic significance of FBXL6 expression in ovarian cancer

ObjectiveGrowing evidence indicates that F-box and leucine-rich repeat protein 6 (FBXL6) is associated with the progression of various cancers, including gastric cancer, hepatocellular carcinoma, and colorectal cancer. This study focuses on the prognostic significance of FBXL6 in OC. MethodsDifferential levels of FBXL6 in multiple cancers were evaluated using the TCGA and GSE26712 databases. We screened FBXL6-related differentially expressed genes using the GSE63885 dataset and conducted Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways analysis. The genes that associate with FBXL6 were screened using the “limma” package, the STRING database, and Cytoscape software, and the association was validated through Gene Expression Profiling Interactive Analysis. The potential substrates of FBXL6 were predicted using UbiBrowser2.0 database. FBXL6 protein levels in 84 OC samples were evaluated using immunohistochemistry. The prognostic significance of FBXL6 was explored using Kaplan–Meier and Cox regression analyses. Based on the Cox regression results, an FBXL6-based nomogram that can predict the overall survival (OS) rate were constructed. Moreover, we examined the net benefits and discriminative ability of the nomogram using the decision curve analysis (DCA), calibration plots, and receiver operating characteristic (ROC) curve. ResultsFBXL6 was elevated in OC tissues, and the overexpression of FBXL6 was linked to poor prognosis in OC patients. The ROC and DCA curves indicated that the prognostic value of the FBXL6-based nomogram model was superior to that of FBXL6, age, and FIGO stage alone. ConclusionsElevated FBXL6 expression was an independent factor for OC, and an easily applied nomogram was developed to predict OS in OC patients.

Dihydroartemisinin inhibits ATP6 activity, reduces energy metabolism of hepatocellular carcinoma cells, promotes apoptosis and inhibits metastasis via CANX.

Dihydroartemisinin (DHA) may inhibit the migration and invasion of liver cancer cells by reducing ATP synthase production (specifically ATP1A1 and ATP5H) through the calcium/calmodulin dependent protein kinase kinase 2/solute carrier family 8 member B1 signaling pathway. However, it is unclear whether DHA regulates ATP synthase activity by modulating other calcium ion signals to inhibit the energy metabolism and the transfer of hepatocellular carcinoma (HCC) cells. Using the Gene Expression Profiling Interactive Analysis database, a search for specific expression genes in liver cancer tissues was performed. Human HCC HuH-7 and Li-7 cells were used to produce CANX overexpression and small interfering RNA cell models. The study assessed changes in cell proliferation, apoptosis, migration and invasion. Reactive oxygen species production, ATP production, mitochondrial membrane potential (JC-1), NAD+/NADH ratio and mitochondrial fluorescence were also evaluated. Western blotting was used to assess changes in CANX, ATP6V1 domain (ATP6V1F) and V0 domain (ATP6V0B) protein expression levels. The results demonstrated that CANX is highly expressed in liver cancer tissues. Furthermore, CANX regulated malignant biological behavior, mediated mitochondrial function and energy metabolism. However, these effects were inhibited by DHA, which decreased the expression of CANX, ATP6V0B and ATP6V1F. The findings of the present study underscore the central role of CANX in affecting the malignant biological behavior of liver cancer cells by regulating mitochondrial function and energy metabolism. Additionally, they indicate that DHA serves an anticancer role by inhibiting CANX expression.

Research on the Regulatory Mechanism of Ginseng on the Tumor Microenvironment of Colorectal Cancer based on Network Pharmacology and Bioinformatics Validation.

A network pharmacology study on the biological action of ginseng in the treatment of colorectal cancer (CRC) by regulating the tumor microenvironment (TME). To investigate the potential mechanism of action of ginseng in the treatment of CRC by regulating TME. This research employed network pharmacology, molecular docking techniques, and bioinformatics validation. Firstly, the active ingredients and the corresponding targets of ginseng were retrieved using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), the Traditional Chinese Medicine Integrated Database (TCMID), and the Traditional Chinese Medicine Database@Taiwan (TCM Database@Taiwan). Secondly, the targets related to CRC were retrieved using Genecards, Therapeutic Target Database (TTD), and Online Mendelian Inheritance in Man (OMIM). Tertiary, the targets related to TME were derived from screening the GeneCards and National Center for Biotechnology Information (NCBI)-Gene. Then the common targets of ginseng, CRC, and TME were obtained by Venn diagram. Afterward, the Protein-protein interaction (PPI) network was constructed in the STRING 11.5 database, intersecting targets identified by PPI analysis were introduced into Cytoscape 3.8.2 software cytoHubba plugin, and the final determination of core targets was based on degree value. The OmicShare Tools platform was used to analyze the Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the core targets. Autodock and PyMOL were used for molecular docking verification and visual data analysis of docking results. Finally, we verified the core targets by Gene Expression Profiling Interactive Analysis (GEPIA) and Human Protein Atlas (HPA) databases in bioinformatics. A total of 22 active ingredients and 202 targets were identified to be closely related to the TME of CRC. PPI network mapping identified SRC, STAT3, PIK3R1, HSP90AA1, and AKT1 as possible core targets. Go enrichment analysis showed that it was mainly involved in T cell co-stimulation, lymphocyte co-stimulation, growth hormone response, protein input, and other biological processes; KEGG pathway analysis found 123 related signal pathways, including EGFR tyrosine kinase inhibitor resistance, chemokine signaling pathway, VEGF signaling pathway, ErbB signaling pathway, PD-L1 expression and PD-1 checkpoint pathway in cancer, etc. The molecular docking results showed that the main chemical components of ginseng have a stable binding activity to the core targets. The results of the GEPIA database showed that the mRNA levels of PIK3R1 were significantly lowly expressed and HSP90AA1 was significantly highly expressed in CRC tissues. Analysis of the relationship between core target mRNA levels and the pathological stage of CRC showed that the levels of SRC changed significantly with the pathological stage. The HPA database results showed that the expression levels of SRC were increased in CRC tissues, while the expression of STAT3, PIK3R1, HSP90AA1, and AKT1 were decreased in CRC tissues. Ginseng may act on SRC, STAT3, PIK3R1, HSP90AA1, and AKT1 to regulate T cell costimulation, lymphocyte costimulation, growth hormone response, protein input as a molecular mechanism regulating TME for CRC. It reflects the multi-target and multi-pathway role of ginseng in modulating TME for CRC, which provides new ideas to further reveal its pharmacological basis, mechanism of action and new drug design and development.

Novel repurposing of sulfasalazine for the treatment of adrenocortical carcinomas, probably through the SLC7A11/xCT-hsa-miR-92a-3p-OIP5-AS1 network pathway

BackgroundRecent multigenomic analysis of adrenocortical carcinomas (ACCs) identified SLC7A11/xCT as a novel biomarker. The Food and Drug Administration–approved anti-inflammatory drug, sulfasalazine (SAS), induces ferroptosis by blocking SLC7A11 expression. We hypothesize that SAS could be repurposed to target ACC cells. MethodsExpression of SLC7A11 and its association with ACC survival was analyzed using Gene Expression Profiling Interactive Analysis (GEPIA). The validated ACC cell lines NCI-H295R, ACC1, and ACC2 were grown in 2D culture. In vitro studies included the CellTiter-Glo assay to calculate viability, Western blot (WB) analysis for apoptosis and other target protein changes, reverse transcriptase polymerase chain reaction for steroidogenic enzyme changes, C11BODIPY for lipid peroxidation, and mass spectrometry for changes in lipids. ResultsThe Cancer Genome Atlas Program database analysis in GEPIA showed that SLC7A11 and linked long noncoding RNA OAP5-AS1 are highly expressed in ACC tumors versus normal adrenals (n = 77 vs 128; P < .05). This was associated with poor overall and disease-free survival with hazard ratios of 4.3 and 5.2 for SLC7A11 and 4.8 and 2.7 for OAP5-AS1, respectively. ACC cell line half-inhibitory maximum concentration values after 72-hour SAS treatment ranged from 412 nM (ACC1) to 799 nM (ACC2), and all showed cleavage of poly (ADP-ribose) polymerase, upregulation of p-Akt and p-ERK, and downregulation of GPX4 and SLC7A11 (P < .05) by WB analysis. Sphere formation, migration, and invasion assay showed inhibition, and lipid peroxidation using C11BODIPY, increase in intracellular iron, induction of oxidative stress, and significant upregulation of oxidized polyunsaturated fatty acid phospholipids (P < .05 each) by mass spectrometry suggests induction of ferroptosis. ConclusionSAS downregulates tSLC7A11 in ACCs, targets the Akt/ERK pathway and lipid metabolism, and induces cell death in vitro, warranting additional translational studies to define its therapeutic potential in ACC.

SNX4 Is Correlated With Immune Infiltration and Prognosis in Clear Cell Renal Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) is known as the most common and malignant histologic subtype of renal carcinoma. Sorting nexin 4 (SNX4) plays a regulatory role in recycling from endosomes to the plasma membrane and promotes autophagosome assembly and transport, which may exert the cancerous growth and progression. This study aimed to assess the biological role of SNX4 in ccRCC and their clinical association via public biological data platforms combined with experimental verification. In our study, we analyzed the mRNA and protein expression of SNX4 in ccRCC under different clinicopathological characteristics through The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC) databases. We used the Gene Expression Profiling Interactive Analysis (GEPIA) platform to conduct the survival analysis and figure out the immune cell infiltration level under different expression levels of SNX4 combined with Tumor Immune Estimation Resource (TIMER) database. Furthermore, we predicted competing endogenous RNA (ceRNA) regulatory network using TargetScan, miRDB, starBase and miRTarBase online databases. We totally collected six paired ccRCC tissues and adjacent tissues and applied quantitative real-time polymerase chain reaction (qRT-PCR) and western blot (WB) to detect the expression of SNX4 in the collected clinical specimens. The mRNA and protein expression level of SNX4 was significantly lower in ccRCC than those in normal tissues. The results proposed that lower SNX4 was expressed in patients with higher histologic grade and in male patients. Kaplan-Meier analysis demonstrated that lower mRNA expression level of SNX4 was correlated with poorer prognosis. SNX4 had positive correlation with immune cell infiltrating levels and programmed cell death-ligand 1 (PD-L1) expression. Furthermore, we constructed the SNX4/miR-221-3p/miR-222-3p/DHRS4-AS1 axis, which may be the underlying ceRNA interaction network. Finally, we verified the reduced expression of SNX4 in ccRCC by qRT-PCR and WB. The expression of SNX4 in ccRCC was lower than adjacent tissues and its downregulated expression was associated with poor prognosis of ccRCC patients. SNX4 may exert critical roles in the tumorigenesis, development and migration of ccRCC via various mechanisms.

Identification of potential core genes in lung cancer and therapeutic traditional Chinese medicine compounds using bioinformatics analysis.

Lung cancer (LC) remains the leading cause of cancer-related death. We identified potential therapeutic targets and traditional Chinese medicine (TCM) compounds for LC treatment. GSE43346 and GSE18842 were derived from the Gene Expression Omnibus (GEO) database and used to identify differentially expressed genes (DEGs). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed using The Database for Annotation, Visualization and Integrated Discovery (DAVID). Protein-protein interactions were analyzed using STRING and Cytoscape software. Hub gene expression was validated using Gene Expression Profiling Interactive Analysis and the Human Protein Atlas. Kaplan-Meier survival analysis was conducted to evaluate the prognostic value of hub genes in patients with LC. Therapeutic TCM compounds were screened using the Comparative Toxicogenomics Database, and DEGs were largely enriched in biological processes, including cell division and mitotic nuclear division, such as the cell cycle and p53 signaling pathways. Elevated expression of hub genes was observed in LC samples. Overexpression of CDC20, CCNB2, and TOP2A is an unfavorable prognostic factor for postprogressive survival in patients with LC. Paclitaxel, quercetin, and rotenone have been identified as active substances in TCM. CDC20, CCNB2, and TOP2A are novel hub genes associated with LC. Paclitaxel, quercetin, and rotenone can be used as therapeutic agents in TCM.

Study on the expression and prognostic relationship of MYL6B in liver cancer based on bioinformatics.

Primary liver cancer is a prevalent and deadly cancer type. Despite treatment advances, prognosis remains poor, with high recurrence rates. Early detection is crucial but challenging due to the disease's insidious nature. Myosin proteins play significant roles in cancer development, influencing cell migration, invasion, and tumor suppression. MYL6B, a myosin light chain, is involved in various cellular processes and has been associated with poor prognosis in colorectal adenocarcinoma and potential as a biomarker in breast cancer. To investigate the expression of MYL6B in liver hepatocellular carcinoma (LIHC) and its impact on prognosis and potential mechanisms of action using bioinformatics methods. The expression of MYL6B in pan-cancer and normal tissues was analyzed using the gene expression profiling interactive analysis 2 and tumor immune estimation resource databases. The expression level of MYL6B in LIHC tissues and its relationship with prognosis were analyzed, immunohistochemical analysis of MYL6B and its effect on immune cell infiltration, and the protein network were further studied. MYL6B was highly expressed in diffuse large b-cell lymphoma, LIHC, pancreatic adenocarcinoma, skin cutaneous melanoma, thymoma, uterine corpus endometrial carcinoma, uterine carcinosarcoma, and lowly expressed in kidney chromophobe, acute myeloid leukemia, testicular germ cell tumors. The expression level of MYL6B was significantly different between cancer and normal tissues. It had a significant impact on both overall survival and disease-free survival. MYL6B is highly expressed in hepatocellular carcinoma and its expression level increases with cancer progression. High MYL6B expression is associated with poor prognosis in terms of overall survival and recurrence-free survival. The immunohistochemical level of MYL6B is high in hepatocellular carcinoma tissues, and MYL6B has a high level of immune infiltration inflammation. In protein network analysis, MYL6B is correlated with MYL2, MYL6, MYL9, MYLK4, MYLK2, MYL12A, MYL12B, MYH11, MYH9 and MYH10. The expression level of MYL6B in LIHC was significantly higher than in normal liver tissues, and it was correlated with the degree of differentiation survival rate, and immune infiltration. MYL6B is a potential target for LIHC treatment.

Silencing EPHB2 diminished the malignant biological properties of esophagus cancer cells by blocking autophagy and Wnt/β-catenin pathway.

Eph receptor B2 (EPHB2) is overexpressed in some tumors and relevant to unfavorable outcomes of tumor patients. By searching Gene Expression Profiling Interactive Analysis and KM Plot websites, we discovered that EPHB2 was highly expressed in patients with esophageal cancer, leading to poor prognosis. However, the role and molecular mechanism of EPHB2 in esophagus cancer is unknown. Our study aims to unveil the underlying mechanism by which EPHB2 modulates the biological properties of esophagus cancer cells. After si-EPHB2 transfection, the malignant biological properties of esophagus cancer cells were determined by several biological experiments. IWP-4 was applied to block Wnt/β-catenin signaling pathway. The expressions of autophagy and Wnt/β-catenin signaling pathway relevant molecules were tested by western blot assay. An increased expression of EPHB2 was happened in esophagus cancer samples and loss of EPHB2 diminished esophagus cancer cells proliferation, migration, and invasion. Moreover, our data showed that depletion of EPHB2 blocked the autophagy and in-activated Wnt/β-catenin signaling pathway in esophagus cancer cells. While, IWP-4 treatment inhibited the autophagy and limited esophagus cancer cells proliferation, migration, and invasion. Moreover, EPHB2 knocked down strengthened the effect of IWP-4 treatment in regulating esophagus cancer cells proliferation, migration, and invasion. Finally, we illustrated that EPHB2 regulated the biological properties of esophagus cancer cells by modulating autophagy and Wnt/β-catenin signaling pathway. Our study illustrated that EPHB2 might be a worthwhile target considering for the treatment of esophagus cancer.

Matrix stiffness regulates the protein profile of extracellular vesicles of pancreatic cancer cell lines.

The fibrotic stroma characterizing pancreatic ductal adenocarcinoma (PDAC) derives from a progressive tissue rigidification, which induces epithelial mesenchymal transition and metastatic dissemination. The aim of this study was to investigate the influence of matrix stiffness on PDAC progression by analyzing the proteome of PDAC-derived extracellular vesicles (EVs). PDAC cell lines (mPDAC and KPC) were grown on synthetic supports with a stiffness close to non-tumor (NT) or tumor tissue (T), and the protein expression levels in cell-derived EVs were analyzed by a quantitative MSE label-free mass spectrometry approach. Our analysis figured out 15 differentially expressed proteins (DEPs) in mPDAC-EVs and 20 DEPs in KPC-EVs in response to matrix rigidification. Up-regulated proteins participate to the processes of metabolism, matrix remodeling, and immune response, altogether hallmarks of PDAC progression. A multimodal network analysis revealed that the majority of DEPs are strongly related to pancreatic cancer. Interestingly, among DEPs, 11 related genes (ACTB/ANXA7/C3/IGSF8/LAMC1/LGALS3/PCD6IP/SFN/TPM3/VARS/YWHAZ) for mPDAC-EVs and 9 (ACTB/ALDH2/GAPDH/HNRNPA2B/ITGA2/NEXN/PKM/RPN1/S100A6) for KPC-EVs were significantly overexpressed in tumor tissues according to gene expression profiling interaction analysis (GEPIA). Concerning the potential clinical relevance of these data, the cluster of ACTB, ITGA2, GAPDH and PKM genes displayed an adverse effect (p<0.05) on the overall survival of PDAC patients.

Prognostic value of PEA3 subfamily gene expression in cholangiocarcinoma.

Cholangiocarcinoma (CCA) is a lethal malignancy with limited treatment options and poor prognosis. The PEA3 subfamily of E26 transformation specific genes: ETV1, ETV4, and ETV5 are known to play significant roles in various cancers by influencing cell proliferation, invasion, and metastasis. To analyze PEA3 subfamily gene expression levels in CCA and their correlation with clinical parameters to determine their prognostic value for CCA. The expression levels of PEA3 subfamily genes in pan-cancer and CCA data in the cancer genome atlas and genotype-tissue expression project databases were analyzed with R language software. Survival curve and receiver operating characteristic analyses were performed using the SurvMiner, Survival, and Procr language packages. The gene expression profiling interactive analysis 2.0 database was used to analyze the expression levels of PEA3 subfamily genes in different subtypes and stages of CCA. Web Gestalt was used to perform the gene ontology/ Kyoto encyclopedia of genes and genomes (GO/KEGG) analysis, and STRING database analysis was used to determine the genes and proteins related to PEA3 subfamily genes. ETV1, ETV4, and ETV5 expression levels were significantly increased in CCA. There were significant differences in ETV1, ETV4, and ETV5 expression levels among the different subtypes of CCA, and predictive analysis revealed that only high ETV1 and ETV4 expression levels were significantly associated with shorter overall survival in patients with CCA. GO/KEGG analysis revealed that PEA3 subfamily genes were closely related to transcriptional misregulation in cancer. In vitro and in vivo experiments revealed that PEA3 silencing inhibited the invasion and metastasis of CCA cells. The expression level of ETV4 may be a predictive biomarker of survival in patients with CCA.

PRMT1 promotes radiotherapy resistance in glioma stem cells by inhibiting ferroptosis.

The existence of glioma stem cells (GSCs) in cancer is related to glioma radiotherapy resistance. In this research, the effect of protein arginine methyltransferase 1 (PRMT1) on the radiosensitivity of glioma stem cell (GSC)-like cells, as well as its underlying mechanism, was investigated. GSCs-like cells were analyzed and identified by flow cytometry. The self-renewal capability was evaluated by sphere-forming assay. The PRMT1 expression level in glioblastoma were analyzed using the Gene Expression Profiling Interactive Analysis database. The mRNA and protein were scrutinized by RT-qPCR and western blot, respectively. The radiosensitivity was evaluated by clonogenic survival assay. Ferroptosis was evaluated by detecting the levels of reactive oxygen species, malondialdehyde, Fe2+, glutathione, and 4-hydroxynonenal. U87 and SHG44 cells with GSC-like phenotype (GSC-U87 and GSC-SHG44) displayed strong expression of CD133 and nestin versus the glioma cells. GSC-U87 and GSC-SHG44 possess the self-renewal capability. The level of PRMT1 was higher in glioblastoma tumor tissues than in the normal paracancer tissues. Knockdown of PRMT1 enhanced the radiotherapy sensitivity of GSCs-like cells, which wasevidenced by reduced survival fraction in GSC-U87 and GSC-SHG44 underwent sh-PRMT1 transfection. But, this effect was attenuated by Fer-1 (a ferroptosis inhibitor) treatment, accompanied by the abatement of ferroptosis. PRMT1 promoted radiotherapy resistance in GSCs-like cells by inhibiting ferroptosis.

RGS4 inhibits glioma cells sensitivity to radiotherapy and temozolomide by regulating ferroptosis

Background Chemoradiotherapy is the major means in the treatment of gliomas followed by surgery. Ferroptosis has been shown to play an important role in carcinogenesis by many studies. However, its underlying effect on chemoradiotherapy sensitivity in gliomas remains unclear. Methods The genetic and clinical information and ferroptosis-related genes were downloaded from The Cancer Genome Atlas (TCGA) database. Gene Expression Profiling Interactive Analysis (GEPIA) was used to perform hub gene expression and survival analysis. Cell Counting Kit 8 (CCK-8), colony formation, 5-Ethynyl-2′-Deoxyuridine (EdU), Transwell and chemoradiotherapy sensitivity experiments were performed to confirm the biological function of RGS4 in glioma cells. The molecular mechanism of RGS4 on ferroptosis in gliomas was explored in vitro. Results 385 ferroptosis-related genes were identified via bioinformatics analysis. 16 differential expressed genes (DEGs) were identified as radiation-related genes. Among them, RGS4, HSPA5, and SLC40A1 had prognostic values in further analysis. The calculated risk score could significantly distinguish the high-risk population. Moreover, RGS4 expression was closely related with immune infiltration and regulators. RGS4 knockdown could inhibit the proliferation and migration of glioma cells. Down-regulation of RGS4 expression induced ferroptosis to promote cancer sensitivity to chemoradiotherapy. Conclusions A three-gene signature was developed in a risk-score model, which could be used to predict the prognosis of glioma patients. RGS4 is dysregulated in many types of cancers, and is a candidate prognostic biomarker for many types of cancers. Moreover, RGS4 may be a target for predicting and enhancing the chemoradiotherapy sensitivity of gliomas.

Minning of Immuno-mitotic and GABAergic genes as potential biomarkers of glioblastoma: An integrated transcriptomic analysis

Glioblastoma (GBM) is a highly lethal Central Nervous System (CNS) tumor prevalent in both adults and children, exhibiting elevated rates of mortality and morbidity. Due to the heterogenous nature of GBM, coupled with its nonspecific symptoms underscore the imperative for innovative biomarkers to enhance prognosis and the development of efficacious therapeutic interventions. This bioinformatics study seeks to elucidate the culprit genes, both up-regulated and down-regulated, within the context of their functional relevance, through a comparative analysis of gene expression profiles in GBM and normal brain tissues. Deregulated genes were identified from two Gene Expression Omnibus (GEO) datasets, employing the GEO2R tool to analyze expression data from normal and GBM tissues. Subsequently, differences in expression of genes (DEGs) through functional enrichment analysis were conducted by DAVID to discern their functional implications. Further, Protein-Protein Interaction (PPI) networks were constructed to identify hub genes among the selected up-regulated and down-regulated genes, employing various bioinformatics tools. The impact of the selected hub genes on patient overall survival was investigated using the Gene Expression Profiling Interactive Analysis 2 (GEPIA2). Notably, the up-regulated hub genes KIF2C and TTK exhibited significant correlations with overall survival, implicating their potential as immuno-mitotic biomarkers. Conversely, GAD2, the sole down-regulated hub gene, emerged as a promising molecular target for GBM, given its association with GABAergic signaling and amino acid metabolism. Consequently, these findings suggest that KIF2C and TTK may serve as immune-mitotic biomarkers, while GAD2 could be explored as a molecular target for GBM therapy. Nevertheless, additional research is essential to unravel the precise mechanistic underpinnings of GBM.

Impact of CDKN2A gene expression on colon adenocarcinoma via biosignature analysis.

Colorectal adenocarcinoma (COAD) has a poor prognosis. Cyclin-dependent kinase inhibitor 2A (CDKN2A) significantly affects the development and progression of various human tumors. However, the significance and pathological mechanisms of CDKN2A in COAD remain to be elucidated. We assessed expression levels, clinical significance, biological function, co-expressed genes, and enrichment of related pathways of CDKN2A in COAD using various databases, including The University of Alabama at Birmingham Cancer Data Analysis Portal, Gene Expression Profiling Interactive Analysis, Tumor Immune Estimation Resource, Human Protein Atlas, STRING, GeneMANIA, cBioPortal, and Linked Omics. Our investigation showed that CDKN2A was highly expressed in colon adenocarcinomas (P < .001). It is weakly expressed or not expressed in normal tissues. The survival time of patients with colon adenocarcinoma with high CDKN2A expression is significantly shorter than that of patients with low expression levels (P = .011). There was a significant positive correlation between the expression level of CDKN2A in colon adenocarcinoma tissues and the infiltration of CD4+ T cells, macrophages, and neutrophils. Moreover, there was a significant negative association between the expression level of CDKN2A in colon adenocarcinoma tissues and B cell infiltration. The ten hub genes included tumor protein 53, V-myc Avian Myelocytomatosis Viral Oncogene Homolog, AKT serine/threonine kinase 1, cyclin-dependent kinase 2, phosphatase and tensin homolog deleted on chromosome ten, cyclin D1, cyclin dependent kinase 4, cyclin dependent kinase inhibitor 1A, catenin beta 1, and B-Raf proto-oncogene, serine/threonine kinase. Mutations in the CDKN2A genome in colon adenocarcinoma reduce survival. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that the differentially expressed genes were enriched in apoptotic signaling pathways and multiple pathways related to metabolic progression. Our results indicate that CDKN2A can be used as a marker of poor prognosis in patients with colon adenocarcinoma. CDKN2A may regulate the occurrence and development of colon adenocarcinomas by influencing immune cell infiltration and metabolic pathways.

Hypoxia-induced BNIP3 facilitates the progression and metastasis of uveal melanoma by driving metabolic reprogramming

ABSTRACT Uveal melanoma (UM) is an aggressive intraocular malignancy derived from melanocytes in the uvea tract of the eye. Up to 50% of patients with UM develop distant metastases which is usually fatal within one year; preventing metastases is therefore essential. Metabolic reprogramming plays a critical role in UM progression and metastasis. However, the metabolic phenotype of UM cells in the hypoxic tumor is not well understood. Here, we report that hypoxia-induced BNIP3 reprograms tumor cell metabolism, promoting their survival and metastasis. In response to hypoxia, BNIP3-mediated mitophagy alleviates mitochondrial dysfunction and enhances mitochondrial oxidative phosphorylation (OXPHOS) while simultaneously reducing mitochondrial reactive oxygen species (mtROS) production. This, in turn, impairs HIF1A/HIF-1α protein stability and inhibits glycolysis. Inhibition of mitophagy significantly suppresses BNIP3-induced UM progression and metastasis in vitro and in vivo. Collectively, these observations demonstrate a novel mechanism whereby BNIP3 promotes UM metabolic reprogramming and malignant progression by mediating hypoxia-induced mitophagy and suggest that BNIP3 could be an important therapeutic target to prevent metastasis in patients with UM. Abbreviations: AOD: average optical density; BNIP3: BCL2/adenovirus E1B interacting protein 3; CQ: chloroquine; CoCl2: cobalt chloride; GEPIA: Gene Expression Profiling Interactive Analysis; HIF1A: hypoxia inducible factor 1, alpha subunit; IHC: immunohistochemistry; mtROS: mitochondrial reactive oxygen species; NAC: N-acetylcysteine; OCR: oxygen consumption rate; OXPHOS: oxidative phosphorylation; ROS: reactive oxygen species; TCGA: The Cancer Genome Atlas; UM: uveal melanoma.

Identification of LINC02454-related key pathways and genes in papillary thyroid cancer by weighted gene coexpression network analysis (WGCNA)

BackgroundOur previous study demonstrated that long intergenic noncoding RNA 02454 (LINC02454) may act as an oncogene to promote the proliferation and inhibit the apoptosis of papillary thyroid cancer (PTC) cells. This study was designed to investigate the mechanisms whereby LINC02454 is related to PTC tumorigenesis.MethodsThyroid cancer RNA sequence data were obtained from The Cancer Genome Atlas (TCGA) database. Weighted gene coexpression network analysis (WGCNA) was applied to identify modules closely associated with PTC. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to identify the key pathways, and the maximal clique centrality (MCC) topological method was used to identify the hub genes. The Gene Expression Profiling Interactive Analysis (GEPIA) database was used to compare expression levels of key genes between PTC samples and normal samples and explore the prognostic value of key genes. The key genes were further validated with GEO dataset.ResultsThe top 5000 variable genes were investigated, followed by an analysis of 8 modules, and the turquoise module was the most positively correlated with the clinical stage of PTC. KEGG pathway analysis found the top two pathways of the ECM − receptor interaction and MAPK signaling pathway. In addition, five key genes (FN1, LAMB3, ITGA3, SDC4, and IL1RAP) were identified through the MCC algorithm and KEGG analysis. The expression levels of the five key genes were significantly upregulated in thyroid cancer in both TCGA and GEO datasets, and of these five genes, FN1 and ITGA3 were associated with poor disease-free prognosis.ConclusionsOur study identified five key genes and two key pathways associated with LINC02454, which might shed light on the underlying mechanism of LINC02454 action in PTC.

Deubiquitylase USP31 Induces Autophagy and Promotes the Progression in Lung Squamous Cell Carcinoma Cells by Stabilizing E2F1 Expression.

Autophagy exerts a vital role in the progression of lung squamous cell carcinoma (LUSC). Ubiquitin-specific peptidase 31 (USP31) has recently been found to be involved in the development of a variety of cancers. However, whether USP31 modulates autophagy in LUSC remains unclear. This study revealed that high levels of USP31 were discovered in LUSC tissue samples employing the Gene Expression Profiling Interactive Analysis (GEPIA) database, quantitative real- time PCR (qRT-PCR), and Western blot analysis. Cell proliferation was tested via cell counting kit 8 (CCK-8) as well as colony formation, demonstrating that USP31-stable knockdown reduced cell viability. Immunofluorescence analysis illustrated that USP31 knockdown blocked the occurrence of LUSC autophagy. Meanwhile, USP31 has been shown to stabilize the expression of E2F transcription factor 1 (E2F1) through the proteasome pathway. Furthermore, overexpressed E2F1 effectively eliminated the effect of USP31 knockdown on LUSC cell proliferation and autophagy. In summary, this investigation proved that USP31 promoted LUSC cell growth and autophagy, at least in part by stabilizing E2F1 expression, which provided a potential therapeutic gene for the treatment of LUSC.