Immunedysregulatory Events in Hodgkin’s Disease.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 968-968
Author(s):  
Christian Koenecke ◽  
Robert Geffers ◽  
Wenji Piao ◽  
Hunger J. Katrin ◽  
Ganser Arnold ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Differentially Expressed Genes ◽  
Differentially Expressed ◽  
Signal Molecules ◽  
Control Groups ◽  
Anova Analysis ◽  
Immune Clearance ◽  
Immune Related Genes ◽  
Shock Proteins ◽  
And Control

Abstract Background and Aims: Impairment of cell-mediated immunity has long been recognized in classical Hodgkin’s lymphoma (cHL), but it is still under discussion whether the ineffective immune clearance of Hodgkin/ Reed-Sternberg (H/R-S) cells is exclusively resulting from the immunosuppressive environment at the tumor site or might be due to a primary T cell defect. Therefore, we applied a microarray approach in order to analyze circulating T lymphocytes for specific dysregulation. Material and Methods: CD3+ T cells isolated from peripheral blood samples of untreated patients with cHL were analyzed for their gene expression profile in comparison to 2 control groups consisting of healthy donors and patients with sarcoidosis by applying Affymetrix HG-U95Av2 GeneChip. Fold change values of normalized differentially expressed genes (p<0.01; ANOVA analysis) were calculated from the mean expression of duplicates for each group. To further elucidate molecular differences ANOVA selected transcripts have been grouped by using 2D hierarchical clustering. Results:Among more than 12,500 genes 541 transcripts were detected as differentially expressed (p<0.01, CI>99%; ANOVA analysis). A hierarchical clustering identified within 541 selected transcripts specific expression profiles clearly discriminating between cHL and the control groups (Figure 1.): The identified transcripts fell into several functional classes of genes important in cell cycle regulation (i.e., cyclin A/B1, Cdc2), translational control (i.e., RPL23, LOXL1, ARAF1), intercellular communication/receptor (i.e., CXCR3, CXCR5), and most importantly immune response (i.e., cathepsin C, LTß, MIP1ß, SAP). Conclusions: The molecular study identified that circulating T lymphocytes of cHL seem to be globally affected in cell cycle transition, proliferation and Th1/Th2 balance with induction of immune regulatory genes. Altogether these results are arguing for a primary cellular defect contributing to an ineffective immune clearance of H/R-S cells. Figure 1. Distribution of the 541 differentially expressed genes discriminating between cHL and control groups CCG, Cytokines/chemokines, growth factors and receptors; BM, bioynthesis and metabolism; adhesion and motility; HLA, HLA and heat shock proteins; CIT, Calcium and ion channel binding and other transporters; AP, apoptosis and proteolytic systems; MP, membrane proteins and other proteins; TR, transcriptional regulation; IR, other immune related genes; CP, cell proliferation and regulation genes; ES, enzymes and other signal molecules; MISC, miscellaneous. Figure 1. Distribution of the 541 differentially expressed genes discriminating between cHL and control groups . / CCG, Cytokines/chemokines, growth factors and receptors; BM, bioynthesis and metabolism; adhesion and motility; HLA, HLA and heat shock proteins; CIT, Calcium and ion channel binding and other transporters; AP, apoptosis and proteolytic systems; MP, membrane proteins and other proteins; TR, transcriptional regulation; IR, other immune related genes; CP, cell proliferation and regulation genes; ES, enzymes and other signal molecules; MISC, miscellaneous.

611 RNA-sequencing reveals a unique immune transcriptional landscape in the vaccine sites of patients with circulating T-cell responses to cancer immunization

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A646-A647
Author(s):  
Max Meneveau ◽  
Pankaj Kumar ◽  
Kevin Lynch ◽  
Karlyn Pollack ◽  
Craig Slingluff
Keyword(s):  
T Cell ◽  
Differentially Expressed Genes ◽  
T Cell Responses ◽  
Differentially Expressed ◽  
Gene Set Enrichment ◽  
Gene Set ◽  
Cell Responses ◽  
Vaccine Site ◽  
And Control ◽  
Transcriptional Landscape

BackgroundVaccines are a promising therapeutic for patients with advanced cancer, but achieving robust T-cell responses remains a challenge. Melanoma-associated antigen-A3 (MAGE-A3) in combination with adjuvant AS15 (a formulation of Toll-Like-Receptor (TLR)-4 and 9 agonists and a saponin), induced systemic CD4+ T-cell responses in 50% of patients when given subcutaneously/intradermally. Little is known about the transcriptional landscape of the vaccine-site microenvironment (VSME) of patients with systemic T-cell responses versus those without. We hypothesized that patients with systemic T-cell responses to vaccination would exhibit increased immune activation in the VSME, higher dendritic cell (DC) activation/maturation, TLR-pathway activation, and enhanced Th1 signatures.MethodsBiopsies of the VSME were obtained from participants on the Mel55 clinical trial (NCT01425749) who were immunized with MAGE-A3/AS15. Biopsies were taken 8 days after immunization. T-cell response to MAGE-A3 was assessed in PBMC after in-vitro stimulation with recMAGE-A3, by IFNγ ELISPOT assay. Gene expression was assessed by RNAseq using DESeq2. Comparisons were made between immune-responders (IR), non-responders (NR), and normal skin controls. FDR p<0.01 was considered significant.ResultsFour IR, four NR, and three controls were evaluated. The 500 most variable genes were used for principal component analysis (PCA). Two IR samples were identified as outliers on PCA and excluded from further analysis. There were 882 differentially expressed genes (DEGs) in the IR group vs the NR group (figure 1A). Unsupervised clustering of the top 500 DEGs revealed clustering according to the experimental groups (figure 1B). Of the 10 most highly upregulated DEGs, 9 were immune-related (figure 1C). Gene-set enrichment analysis revealed that immune-related pathways were highly enriched in IRs vs NRs (figure 1D). CD4 and CD8 expression did not differ between IR and NR (figure 2A), though both were higher in IR compared to control. Markers of DC activation/maturation were higher in IR vs NR (figure 2B), as were several Th1 associated genes (figure 2C). Interestingly, markers of exhaustion were higher in IR v NR (figure 2D). Expression of numerous TLR-pathway genes was higher in IR vs NR, including MYD88, but not TICAM1 (figure 2E).Abstract 611 Figure 1Gene expression profiling of vaccine site samples from patients immunized with MAGE-A3/AS15. (A) Volcano plots showing the distribution of differentially expressed genes (DEGs) between immune responders (IR) and non-responders (NR), IR and control, and NR and control. (B) Heatmap of the top 500 most differentially expressed genes demonstrating hierarchical clustering of sequenced samples according to IR, NR, and control. (C) Table showing the 10 most highly up and down-regulated genes in IR compared to NR. 9 of the top 10 most highly up-regulated genes are related to the immune response. (D) Enrichment plots from a gene set enrichment analysis highlighting the upregulation of immune related pathways in IR compared to NR. Gene set enrichment data was generated from the Reactome gene set database and included all expressed genes. Significance was set at FDR p <0.01Abstract 611 Figure 2Expression of T-cell markers in IR vs NR vs Control samples in the vaccine site microenvironment (VSME). (A) T-cell markers showing similar expression in IR vs NR but higher expression in IR vs control. (B) Markers of dendritic cell activation and maturation in the VSME which are higher in IR vs control but not IR vs NR. (B) Transcription factors and genes associated with Th1/Th2 responses within the VSME. (D) Genes associated with T-cell exhaustion at the VSME. (E) Expression of TLR pathway genes in the VSME. Expression data is provided in terms of normalized counts. Bars demonstrate median and interquartile range. N=9. IR = immune responder, NR = non-responder, TLR = Toll-like Receptor. * = <0.01, ** < 0.001, *** <0.0001, **** < 0.00001ConclusionsThese findings suggest a unique immune-transcriptional landscape in the VSME is associated with circulating T-cell responses to immunization, with differences in DC activation/maturation, Th1 response, and TLR signaling. Thus, immunologic changes in the VSME are useful predictors of systemic immune response, and host factors that modulate immune-related signaling at the vaccine site may have concordant systemic effects on promoting or limiting immune responses to vaccines.Trial RegistrationSamples for this work were collected from patients enrolled on the Mel55 clinical trial NCT01425749.Ethics ApprovalThis work was completed after approval from the UVA institutional review board IRB-HSR# 15398.

Suppressed Immune-Related Profile Rescues Abortion-Prone Fetuses: A Novel Insight Into the CBA/J × DBA/2J Mouse Model

2019 ◽  
Vol 26 (11) ◽  
pp. 1485-1492
Author(s):  
Xiaochun Yi ◽  
Jie Zhang ◽  
Huixiang Liu ◽  
Tianxia Yi ◽  
Yuhua Ou ◽  
...  
Keyword(s):  
Immune System ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Poor Treatment ◽  
Polymerase Chain ◽  
Poor Treatment Outcome ◽  
Immune Related Genes ◽  
And Control ◽  
Upregulated Genes ◽  
Tgf Β1

The adverse clinical result and poor treatment outcome in recurrent spontaneous abortion (RSA) make it necessary to understand the pathogenic mechanism. The mating combination CBA/J × DBA/2 has been widely used as an abortion-prone model compared to DBA/2-mated CBA/J mice. Here, we used RNA-seq to get a comprehensive catalogue of genes differentially expressed between survival placenta in abortion-prone model and control. Five hundred twenty-four differentially expressed genes were obtained followed by clustering analysis, Gene Ontology analysis, and pathway analysis. We paid more attention to immune-related genes namely “immune response” and “immune system process” including 33 downregulated genes and 28 upregulated genes. Twenty-one genes contribute to suppressing immune system and 7 are against it. Six genes were validated by reverse transcription-polymerase chain reaction, namely Ccr1l1, Tlr4, Tgf-β1, Tyro3, Gzmb, and Il-1β. Furthermore, Tlr4, Tgf-β1, and Il-1β were analyzed by Western blot. Such immune profile gives us a better understanding of the complicated immune processing in RSA and immunosuppression can rescue pregnancy loss.

scholarly journals Proteomic Identification of Altered Cerebral Proteins in the Complex Regional Pain Syndrome Animal Model

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Francis Sahngun Nahm ◽  
Zee-Yong Park ◽  
Sang-Soep Nahm ◽  
Yong Chul Kim ◽  
Pyung Bok Lee
Keyword(s):  
Animal Model ◽  
Complex Regional Pain Syndrome ◽  
Proteomic Analysis ◽  
Protein Identification ◽  
Pain Syndrome ◽  
Differentially Expressed ◽  
Control Groups ◽  
Altered Expression ◽  
Rat Cerebrum ◽  
And Control

Background. Complex regional pain syndrome (CRPS) is a rare but debilitating pain disorder. Although the exact pathophysiology of CRPS is not fully understood, central and peripheral mechanisms might be involved in the development of this disorder. To reveal the central mechanism of CRPS, we conducted a proteomic analysis of rat cerebrum using the chronic postischemia pain (CPIP) model, a novel experimental model of CRPS.Materials and Methods. After generating the CPIP animal model, we performed a proteomic analysis of the rat cerebrum using a multidimensional protein identification technology, and screened the proteins differentially expressed between the CPIP and control groups.Results. A total of 155 proteins were differentially expressed between the CPIP and control groups: 125 increased and 30 decreased; expressions of proteins related to cell signaling, synaptic plasticity, regulation of cell proliferation, and cytoskeletal formation were increased in the CPIP group. However, proenkephalin A, cereblon, and neuroserpin were decreased in CPIP group.Conclusion. Altered expression of cerebral proteins in the CPIP model indicates cerebral involvement in the pathogenesis of CRPS. Further study is required to elucidate the roles of these proteins in the development and maintenance of CRPS.

scholarly journals METTL3-mediated M6a Modification Regulates Cell Cycle Progression of Dental Pulp Stem Cells

2021 ◽  
Author(s):  
Haiyun Luo ◽  
Wenjing Liu ◽  
Yanli Zhang ◽  
Xiao Jiang ◽  
Shiqing Wu ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Tissue Engineering ◽  
Stem Cells ◽  
Flow Cytometry ◽  
Differentially Expressed Genes ◽  
Dental Pulp ◽  
Cell Cycle Control ◽  
Dental Pulp Stem Cells ◽  
Differentially Expressed ◽  
Expression Level

Abstract Background: Dental pulp stem cells (DPSCs) exhibited self-renewal, pluripotency capacity and served as promising cells source in endodontic regeneration and tissue engineering. Meanwhile, the regenerative capacity of DPSCs is limited and reduced in long lifespan. N6-methyladenosine (m6A) is the most prevalent, reversible internal modification in RNAs. The methyltransferases complex and demethylases mediated m6A methylation and cooperated to impact various biological processes associated with stem cell fate determination. However, the biological effect of m6A methylation in DPSCs remained unclear. Methods: Cell surface markers and differentiation potential of primary DPSCs were identified and m6A immunoprecipitation with deep sequencing (m6A RIP-seq) was used to uncover characteristics of m6A modifications in DPSCs transcriptome. Expression level of m6A-related genes were evaluated in immature/mature pulp tissues and cells. Lentiviral vectors were constructed to knockdown or overexpress methyltransferase like 3 (METTL3). Cell morphology, viability, senescence and apoptosis were further analyzed by β-galactosidase, TUNEL staining and flow cytometry. Bioinformatic analysis combing m6A RIP and shMETTL3 RNA-seq was used to functionally enrich overlapped genes and screen target of METTL3. Cell cycle distributions were assayed by flow cytometry and m6A RIP-qPCR was used to confirm METTL3 mediated m6A methylation in DPSCs. Results: Here, m6A peaks distribution, binding area and motif in DPSCs were first revealed by m6A RIP-seq. We also found a relative high expression level of METTL3 in immature DPSCs with superior regenerative potential and METTL3 knockdown induced cell apoptosis and senescence. Furthermore, Conjoint analysis of m6A RIP and RNA-sequencing showed differentially expressed genes affected by METTL3 depletion was mainly enriched in cell cycle, mitosis and alteration of METTL3 expression resulted in cell cycle arrest which indicated METTL3 make essential effect in cell cycle control. To further investigate underlying mechanisms, we explored proteins interaction network of differentially expressed genes and Polo-like Kinase 1 (PLK1), a critical cycle modulator was identified as target of METTL3-mediated m6A methylation in DPSCs. Conclusions: These results revealed m6A methylated hallmarks in DPSCs and a regulatory role of METTL3 in cell cycle control. Our study shed light on therapeutic approaches in vital pulp therapy and serve new insight in stem cells based tissue engineering.

scholarly journals Prognostic Value and Regulatory Network of Immune-Related Genes in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Xiang Zhou ◽  
Keying Zhang ◽  
Fa Yang ◽  
Chao Xu ◽  
Jianhua Jiao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Risk Model ◽  
Cox Regression ◽  
Wilcoxon Test ◽  
Differentially Expressed ◽  
Cox Regression Analysis ◽  
Immune Related Genes

Abstract Background: Hepatocellular carcinoma (HCC) is a disease with higher morbidity, mortality, and poor prognosis in the whole world. Understanding the crosslink between HCC and the immune system is essential for people to uncover a few potential and valuable therapeutic strategies. This study aimed to reveal the correlation between HCC and immune-related genes and establish a clinical evaluation model. Methods: We had analyzed the clinical information consisted of 373 HCC and 49 normal samples from the cancer genome atlas (TCGA). The differentially expressed genes (DEGs) were selected by the Wilcoxon test and the immune-related differentially expressed genes (IRDEGs) in DEGs were identified by matching DEGs with immune-related genes downloaded from the ImmPort database. Furthermore, the univariate Cox regression analysis and multivariate Cox regression analysis were performed to construct a prognostic risk model. Then, twenty-two types of tumor immune-infiltrating cells (TIICs) were downloaded from Tumor Immune Estimation Resource (TIMER) and were used to construct the correlational graphs between the TIICs and risk score by the CIBERSORT. Subsequently, the transcription factors (TFs) were gained in the Cistrome website and the differentially expressed TFs (DETFs) were achieved. Finally, the KEGG pathway analysis and GO analysis were performed to further understand the molecular mechanisms between DETFs and PDIRGs.Results: In our study, 5839 DEGs, 326 IRDEGs, and 31 prognosis-related IRDEGs (PIRDEGs) were identified. And 8 optimal PIRDEGs were employed to construct a prognostic risk model by multivariate Cox regression analysis. The correlation between risk genes and clinical characterizations and TIICs has verified that the prognostic model was effective in predicting the prognosis of HCC patients. Finally, several important immune-related pathways and molecular functions of the eight PIRDEGs were significantly enriched and there was a distinct association between the risk IRDEGs and TFs. Conclusion: The prognostic risk model showed a more valuable predicting role for HCC patients, and produced many novel therapeutic targets and strategies for HCC.

scholarly journals Identification of microRNAs and genes as biomarkers of atrial fibrillation using a bioinformatics approach

2019 ◽  
Vol 47 (8) ◽  
pp. 3580-3589 ◽  
Author(s):  
Yingyuan Li ◽  
Wulin Tan ◽  
Fang Ye ◽  
Faling Xue ◽  
Shaowei Gao ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Target Genes ◽  
Enrichment Analysis ◽  
Gene Expression Omnibus ◽  
Differentially Expressed ◽  
Control Groups ◽  
Protein Protein Interaction ◽  
Differentially Expressed Mirnas ◽  
Software Modules ◽  
And Control

Objective We aimed to explore potential microRNAs (miRNAs) and target genes related to atrial fibrillation (AF). Methods Data for microarrays GSE70887 and GSE68475, both of which include AF and control groups, were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs between AF and control groups were identified within each microarray, and the intersection of these two sets was obtained. These miRNAs were mapped to target genes in the miRNet database. Functional annotation and enrichment analysis of these target genes was performed in the DAVID database. The protein-protein interaction (PPI) network from the STRING database and the miRNA-target-gene network were merged into a PPI-miRNA network using Cytoscape software. Modules of this network containing miRNAs were detected and further analyzed. Results Ten differentially expressed miRNAs and 1520 target genes were identified. Three PPI-miRNA modules were constructed, which contained miR-424, miR-15a, miR-542-3p, and miR-421 as well as their target genes, CDK1, CDK6, and CCND3. Conclusion The identified miRNAs and genes may be related to the pathogenesis of AF. Thus, they may be potential biomarkers for diagnosis and targets for treatment of AF.

scholarly journals Transcriptional modulator ZBED6 affects cell cycle and growth of human colorectal cancer cells

2015 ◽  
Vol 112 (25) ◽  
pp. 7743-7748 ◽  
Author(s):  
Muhammad Akhtar Ali ◽  
Shady Younis ◽  
Ola Wallerman ◽  
Rajesh Gupta ◽  
Leif Andersson ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cell Cycle ◽  
Cell Lines ◽  
Differentially Expressed Genes ◽  
Target Genes ◽  
Egf Receptor ◽  
Differentially Expressed ◽  
Striking Difference ◽  
Human Colorectal Cancer ◽  
Chip Sequencing

The transcription factor ZBED6 (zinc finger, BED-type containing 6) is a repressor of IGF2 whose action impacts development, cell proliferation, and growth in placental mammals. In human colorectal cancers, IGF2 overexpression is mutually exclusive with somatic mutations in PI3K signaling components, providing genetic evidence for a role in the PI3K pathway. To understand the role of ZBED6 in tumorigenesis, we engineered and validated somatic cell ZBED6 knock-outs in the human colorectal cancer cell lines RKO and HCT116. Ablation of ZBED6 affected the cell cycle and led to increased growth rate in RKO cells but reduced growth in HCT116 cells. This striking difference was reflected in the transcriptome analyses, which revealed enrichment of cell-cycle–related processes among differentially expressed genes in both cell lines, but the direction of change often differed between the cell lines. ChIP sequencing analyses displayed enrichment of ZBED6 binding at genes up-regulated in ZBED6-knockout clones, consistent with the view that ZBED6 modulates gene expression primarily by repressing transcription. Ten differentially expressed genes were identified as putative direct gene targets, and their down-regulation by ZBED6 was validated experimentally. Eight of these genes were linked to the Wnt, Hippo, TGF-β, EGF receptor, or PI3K pathways, all involved in colorectal cancer development. The results of this study show that the effect of ZBED6 on tumor development depends on the genetic background and the transcriptional state of its target genes.

scholarly journals Wfs1 and Related Molecules as Key Candidate Genes in the Hippocampus of Depression

2021 ◽  
Vol 11 ◽  
Author(s):  
Jing Yang ◽  
Chaoqin Chen ◽  
Xiaoyuan Jin ◽  
Lu Liu ◽  
Jiajia Lin ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Mouse Model ◽  
Differentially Expressed Genes ◽  
Molecular Mechanisms ◽  
Visual Analysis ◽  
Pathological Process ◽  
Differentially Expressed ◽  
Mild Stress ◽  
Ppi Networks ◽  
Chemokine Signaling

BackgroundDepression is a prevalent mental disorder, which is difficult to diagnose and treat due to its unclear pathogenic mechanisms. The discovery of novel and effective therapeutic targets for depression is urgently needed. The hippocampus is a crucial region involved in depression and has been a therapeutic target for many antidepressants. Thus, it is beneficial for comprehensive research to be carried out on the molecular mechanisms of the hippocampus involved in the pathogenesis of depression. This study aims to investigate the differentially expressed genes (DEG) in the hippocampus in a chronic unpredictable mild stress (CUMS) mouse model.MethodThe study obtained GSE84183 from the GEO database. The R language screened the differential expression genes (DEG) in the hippocampus tissue of depressed mice, and the enrichment pathways of DEGs were analyzed. A protein-protein interaction (PPI) network was constructed in the STRING database and visualized in Cytoscape software. MicroRNAs for these DEGs were obtained from TarBase and mortar base databases, and transcription factors (TF) related to DEG were predicted from the ENCODE database. Both networks used the visual analysis platform NetworkAnalyst. Finally, the microRNA-TF network was integrated based on the above two networks and imported into Cytoscape for further analysis.ResultsThis study screened 325 differentially expressed genes, containing 42 downregulated genes and 283 upregulated genes. Most of these genes are enriched in the cell cycle and the chemokine signaling pathway. Meanwhile, Wfs1, one of the top ten DEGs, was identified as the key regulator of the cell cycle and the participator in the highest number of modules screened out in PPI networks. Wfs1-related molecules, including UBTF, mmu-mir-17-5p, and mmu-mir-7b-5p, were therefore screened out. Furthermore, we confirmed the downregulation of Wfs1 and upregulation of UBTF/mmu-mir-17-5p/mmu-mir-7b-5p in the hippocampus of the CUMS mouse model. Our data indicate that Wfs1 and related molecules were predicted to be associated with the pathological process of depression. This research provided potential new molecular targets of stress-induced depression.

scholarly journals Hub Genes Related to the Pathogenesis and Progression of Colorectal Cancer and Adenoma by Integrative Bioinformatics Approaches

2021 ◽  
Author(s):  
Yuxuan HUANG ◽  
Ge CUI
Keyword(s):  
Colorectal Cancer ◽  
Cell Cycle ◽  
Differentially Expressed Genes ◽  
Protein Interaction ◽  
Biological Networks ◽  
Interaction Network ◽  
Differentially Expressed ◽  
Venn Diagram ◽  
Hub Genes ◽  
Protein Protein Interaction

Abstract Aims: To utilize the bioinformatics to analyze the differentially expressed genes (DEGs), interaction proteins, perform gene enrichment analysis, protein-protein interaction network (PPI) and map the hub genes between colorectal cancer(CRC) and colorectal adenocarcinomas(CA).Methods: We analyzed a microarray dataset (GSE32323 and GSE4183) from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in tumor tissues and non-cancerous tissues were identified using the dplyr and Venn diagram packages of the R Studio software. Functional annotation of the DEGs was performed using the Gene Ontology (GO) website. Pathway enrichment (KEGG) used the WebGestalt to analyze the data and R Studio to generate the graph. We constructed a protein–protein interaction (PPI) network of DEGs using STRING and Cytoscape software was used for visualization. Survival analysis of the hub genes and was performed using the online platform GEPIA to determine the prognostic value of the expression of hub genes in cell lines from CRC patients. The expression of molecules with prognostic values was validated on the UALCAN database. The expression of hub genes was examined using the Human Protein Atlas. Results: Applying the GEO2R analysis and R studio, we identified a total of 471 upregulated and 278 downregulated DEGs. By using the online database WebGestalt, we identified the most relevant biological networks involving DEGs with statistically significant differences in expression were mainly associated with biological processes involved in the cell proliferation, cell cycle transition, cell homeostasis and indicated the role of each DEGs in cell cycle regulation pathways. We found 10 hub genes with prognostic values were overexpressed in the CRC and CA samples.Conclusion: we found out ten hub genes and three core genes closely associated with the pathogenesis and prognosis of CRC and CA, which is of great significance for colorectal tumor early detection and prognosis evaluation.

Sign in / Sign up

Export Citation Format

Share Document