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OBJECTIVE@#To screen the prognostic biomarkers of metabolic genes in patients with multiple myeloma (MM), and construct a prognostic model of metabolic genes.@*METHODS@#The histological database related to MM patients was searched. Data from MM patients and healthy controls with complete clinical information were selected for analysis.The second generation sequencing data and clinical information of bone marrow tissue of MM patients and healthy controls were collected from human protein atlas (HPA) and multiple myeloma research foundation (MMRF) databases. The gene set of metabolism-related pathways was extracted from Molecular Signatures Database (MSigDB) by Perl language. The biomarkers related to MM metabolism were screened by difference analysis, univariate Cox risk regression analysis and LASSO regression analysis, and the risk prognostic model and Nomogram were constructed. Risk curve and survival curve were used to verify the grouping effect of the model. Gene set enrichment analysis (GSEA) was used to study the difference of biological pathway enrichment between high risk group and low risk group. Multivariate Cox risk regression analysis was used to verify the independent prognostic ability of risk score.@*RESULTS@#A total of 8 mRNAs which were significantly related to the survival and prognosis of MM patients were obtained (P<0.01). As molecular markers, MM patients could be divided into high-risk group and low-risk group. Survival curve and risk curve showed that the overall survival time of patients in the low-risk group was significantly better than that in the high risk group (P<0.001). GSEA results showed that signal pathways related to basic metabolism, cell differentiation and cell cycle were significantly enriched in the high-risk group, while ribosome and N polysaccharide biosynthesis signaling pathway were more enriched in the low-risk group. Multivariate Cox regression analysis showed that the risk score composed of the eight metabolism-related genes could be used as an independent risk factor for the prognosis of MM patients, and receiver operating characteristic curve (ROC) showed that the molecular signatures of metabolism-related genes had the best predictive effect.@*CONCLUSION@#Metabolism-related pathways play an important role in the pathogenesis and prognosis of patients with MM. The clinical significance of the risk assessment model for patients with MM constructed based on eight metabolism-related core genes needs to be confirmed by further clinical studies.
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Humans , Cell Cycle , Multiple Myeloma/genetics , Prognosis , Risk FactorsABSTRACT
Objective:To analyze the expression of cell division cycle associated protein 5 (CDCA5) in pancreatic cancer tissues and its correlation with prognosis based on the bioinformatics.Methods:The RNA sequencing data (HTSeq-FPKM) and corresponding clinical information of 168 pancreatic cancer samples from January to December 2021 were downloaded from the Cancer Genome Atlas (TCGA) database, and the data of 179 pancreatic patients from January to December 2021 were downloaded from the GEPIA2 database, and 171 normal pancreatic tissues from TCGA and GTEx databases were simultaneously integrated. The relative expression level of CDCA5 mRNA in pancreatic cancer patients in GEPIA2 database and its relationship with overall survival (OS) and disease-free survival (DFS) were explored. Combined with the clinical data of the patients, univariate and multivariate Cox regression model analysis was used to analyze the factors influencing the OS of pancreatic cancer patients. Gene set enrichment analysis (GSEA) was performed to investigate the possibly involved signal pathways of CDCA5 in pancreatic cancer.Results:In the GEPIA2 database, the relative expression level of CDCA5 mRNA in pancreatic cancer tissues was higher than that in normal pancreatic tissues, and the difference was statistically significant ( P < 0.05). The pancreatic cancer patients were divided into the high CDCA5 mRNA expression group (89 cases) and the low CDCA5 mRNA expression group (89 cases) according to the median of relative expression level of CDCA5 mRNA (the case equal to the median value was not subgrouped). Survival analysis showed that patients with high CDCA5 mRNA expression had shorter OS ( P = 0.024) and DFS ( P = 0.025) compared with those with low CDCA5 mRNA expression. Multivariate Cox analysis showed that in TCGA database, N staging ( HR = 2.15, 95% CI 1.24-3.72, P = 0.006) and CDCA5 expression ( HR = 1.71, 95% CI 1.23-2.38, P = 0.001) were independent influencing factors of OS for pancreatic cancer patients. The results of GSEA enrichment analysis indicated that high CDCA5 mRNA expression was enriched in 13 biological pathways [all P < 0.05, false discovery rate (FDR) < 0.005] including cell cycle, DNA replication, homologous recombination, pyrimidine metabolism, mismatch repair, pentose phosphate pathway, glycolysis gluconeogenesis and p53. The expression of CDCA5 mRNA was positively correlated with the expressions of HK2, PKM, PGK1, ALDOA, EN01 and LDHA (all P < 0.05). Conclusions:CDCA5 is highly expressed in pancreatic cancer tissues and is associated with poor prognosis of patients, and it can be used as a prognostic marker for pancreatic cancer.
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Objective: To explore the pathogenic genes and potential drug therapeutic targets of ulcerative colitis and its malignant complications by a variety of bioinformatics analysis. Methods: Four expression profiling datasets (GSE13367, GSE9452 and GSE36807 as UC group, and GSE37283 as UCN group) downloaded from the Gene Expression Omnibus (GEO) database were jointly analyzed to identify the differential genes. Key genes related to ulcerative colitis and its malignant complications were obtained by subsequent immunoassay and gene correlation analysis, and a number of small molecule drugs with potential therapeutic effects were screened by LINCS L1000 database. Results: Eighty-six and 253 significant differentially expressed genes were identified respectively in the differential gene analysis of UC group and UCN group. The scoring analysis of the node genes in protein-protein interaction (PPI) network of UC group showed that the core gene of the network was CXCL8. KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analysis indicated that CXCL8 mainly participated in the recruitment of neutrophils in IL-17 signaling pathway, and three small molecule drugs (butein, levocetirizine, pseudoephedrine) for CXCL8 were found based on the screening results of LINCS L1000 database. Conclusion: The core differentially expressed gene CXCL8 may be a new drug target for the treatment of ulcerative colitis and its malignant complications. The three screened small molecule drugs may have potential treatment effect on ulcerative colitis and its malignant complications.
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Objective::Based on gene array technology, gene set enrichment analysis (GSEA) and immune infiltration analysis were performed on chip data of intracranial aneurysm (IA) mRNA expression profile, in order to provide theoretical basis for understanding the formation mechanism of IA. Method::The GSE75436 raw data were obtained from the gene expression omnibus (GEO). GSEA of biological process (BP) in gene ontology (GO) and Kyoto gene and genome encyclopedia (KEGG) signaling pathways were analyzed for gene expression profile by R software. The CIBERSORT deconvolution method was used to analyze the infiltration ratio of 22 types of immune cells in the expression profile. And COREMINE database was used to predict traditional Chinese medicines (TCMs), which were significant correlation with the enrichment result. Result::The GSEA results showed that the changes in gene expression of IA samples mainly involved in the regulation of cytokines, activation and differentiation of leukocyte, inflammatory immune response and other processes. The infiltration matrix analysis of immune cells showed that mast cells resting and neutrophils were significantly reduced in IA samples. The comparison of paired samples showed that mast cells and natural killer cells (NK cells) were significantly activated in the IA samples of the same individual, while neutrophils and T cells CD4 naive were significantly reduced. Through COREMINE prediction, it was found that Stephaniae Tetrandrae Radix was correlated with the activation of granulocytes, Sapindi Mukorossi Semen and Pistaciae Chinensis Cortex were correlated with the activation of neutrophils, Trichosanthis Semen, Paeoniae Radix Alba and Ligustri Lucidi Fructus were correlated with the cytotoxicity mediated by NK cells. Conclusion::Activation of mast cells and NK cells are closely associated with the occurrence and development of IA. The inflammatory immune processes and pathways such as nucleotide-binding oligomerization domain (NOD)-like receptor (NLR) signaling pathway and cytotoxicity mediated by NK cells may be important factors in the pathogenesis of IA, and TCMs such as Stephaniae Tetrandrae Radix may be the potential molecular drug sources.
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Objective To investigate the differences in the gene expression profiles between SW480 and SW620 cell lines.Methods A dataset of GDS756 containing the gene expression profiles of SW480 and SW620 was downloaded from the GEO database in NCBI.The differential expression genes between SW480 and SW620 were analyzed with gene set enrichment analysis (GSEA) and leading edge subset analysis.The genes in leading edge subset were re-annotated by FunRich software.The core genes of leading edge subset closely relating to SW480 or SW620 were analyzed with the STRING on-line analytical system.The functional core genes closely relating to SW480 or SW620 were obtained by the combined analysis of the core genes and high frequency genes from leading edge subset.Results GSEA identified 12 significantly enriched gene sets,491 leading edge genes and 7 highly overlapping genes from SW480 and 80 significantly enriched gene sets,870 leading edge genes and 6 highly overlapping genes from SW620.The STRING system identified 5 core genes from SW480 and 8 from SW620.The combined analysis of GSEA and bionetwork obtained 2 functional core genes,TOP2A and CDK1,from SW620.Conclusion The SW480 and SW620 cells with identical genetic background have different functional gene expression profiles,and the functional core genes TOP2A and CDK1 in SW620 cells may be related to the signal pathways of colon cancer metastasis.
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Objective To investigate the susceptibility related sites to schizophrenia through whole genome analysis combined with bioinformatics analysis method.Methods The research was carried out by two stages.In the first stage,300 cases of schizophrenia and 300 healthy controls were enrolled,and 5ml pe-ripheral venous blood was drawn to extract genome DNA.After quality control and concentration adjustment by ultraviolet spectrophotometer,equal mass of DNA was mixed into DNA pooling for case group and control group respectively.Genome-Wide Human SNP Array 6.0 chips were used to detect the polymorphism of the SNP.Plink software was used to locate the differential SNP to genes.GSEA was used to analyze the gene to pathway.Ten loci with the smallest P value of screened pathway were chosen as investigated subjects.In the second stage,240 schizophrenias and 200 healthy controls were collected to gain the genome DNA to verity the genotype of the 10 loci.Results Many single nucleotide polymorphism loci which P<9.2×10-8were found in GWAS.The GSEA pathway analysis showed that the axon guidance pathway was significantly related to the incidence of schizophrenia.The distribution of rs4632195 genotypes involved the distribution of among 10 loci(χ2=11.484,P=0.003)and alleles(χ2=8.824,P=0.009)were statistically significant,and T al-lele was susceptibility genes of schizophrenia(OR=1.537,95%CI:1.157-2.203).Conclusion rs4632195 of DCC gene in the axon guidance pathway is associated with schizophrenia,and the T allele is associated with susceptibility to schizophrenia.
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We have previously reported that NS-398, a cyclooxygenase-2 (COX-2)–selective inhibitor, inhibited replicative cellular senescence in human dermal fibroblasts and skin aging in hairless mice. In contrast, celecoxib, another COX-2–selective inhibitor, and aspirin, a non-selective COX inhibitor, accelerated the senescence and aging. To figure out causal factors for the senescence-modulating effect of the inhibitors, we here performed cDNA microarray experiment and subsequent Gene Set Enrichment Analysis. The data showed that several senescence-related gene sets were regulated by the inhibitor treatment. NS-398 up-regulated gene sets involved in the tumor necrosis factor β receptor pathway and the fructose and mannose metabolism, whereas it down-regulated a gene set involved in protein secretion. Celecoxib up-regulated gene sets involved in G2M checkpoint and E2F targets. Aspirin up-regulated the gene set involved in protein secretion, and down-regulated gene sets involved in RNA transcription. These results suggest that COX inhibitors modulate cellular senescence by different mechanisms and will provide useful information to understand senescence-modulating mechanisms of COX inhibitors.
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Animals , Humans , Mice , Aging , Aspirin , Celecoxib , Cellular Senescence , Cyclooxygenase 2 , Fibroblasts , Fructose , Gene Expression , Genes, vif , Mannose , Metabolism , Mice, Hairless , Oligonucleotide Array Sequence Analysis , RNA , Skin Aging , Tumor Necrosis Factor-alphaABSTRACT
OBJECTIVES: We analyzed gene-expression profiles after 14 day odontogenic induction of human dental pulp cells (DPCs) using a DNA microarray and sought candidate genes possibly associated with mineralization. MATERIALS AND METHODS: Induced human dental pulp cells were obtained by culturing DPCs in odontogenic induction medium (OM) for 14 day. Cells exposed to normal culture medium were used as controls. Total RNA was extracted from cells and analyzed by microarray analysis and the key results were confirmed selectively by reverse-transcriptase polymerase chain reaction (RT-PCR). We also performed a gene set enrichment analysis (GSEA) of the microarray data. RESULTS: Six hundred and five genes among the 47,320 probes on the BeadChip differed by a factor of more than two-fold in the induced cells. Of these, 217 genes were upregulated, and 388 were down-regulated. GSEA revealed that in the induced cells, genes implicated in Apoptosis and Signaling by wingless MMTV integration (Wnt) were significantly upregulated. CONCLUSIONS: Genes implicated in Apoptosis and Signaling by Wnt are highly connected to the differentiation of dental pulp cells into odontoblast.