scholarly journals Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Jiayu Shen ◽  
Shuqian Yu ◽  
Xiwen Sun ◽  
Meichen Yin ◽  
Jing Fei ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Adhesion ◽  
Adhesion Molecules ◽  
Transforming Growth Factor Beta ◽  
Cell Adhesion Molecules ◽  
Cellular Response ◽  
Transforming Growth Factor ◽  
Expression Profiles ◽  
Regulation Of Transcription ◽  
Hub Genes

Abstract Background Ovarian cancer (OC) is the deadliest cause in the gynecological malignancies. Most OC patients are diagnosed in advanced stages with less than 40% of women cured. However, the possible mechanism underlying tumorigenesis and candidate biomarkers remain to be further elucidated. Results Gene expression profiles of GSE18520, GSE54388, and GSE27651 were available from Gene Expression Omnibus (GEO) database with a total of 91 OC samples and 22 normal ovarian (OV) tissues. Three hundred forty-nine differentially expressed genes (DEGs) were screened between OC tissues and OV tissues via GEO2R and online Venn software, followed by KEGG pathway and gene ontology (GO) enrichment analysis. The enriched functions and pathways of these DEGs contain male gonad development, cellular response to transforming growth factor beta stimulus, positive regulation of transcription from RNA polymerase II promoter, calcium independent cell-cell adhesion via plasma membrane cell adhesion molecules, extracellular matrix organization, pathways in cancer, cell cycle, cell adhesion molecules, PI3K-AKT signaling pathway, and progesterone mediated oocyte maturation. The protein-protein network (PPI) was established and module analysis was carried out using STRING and Cytoscape. Next, with PPI network analyzed by four topological methods in Cytohubba plugin of Cytoscape, 6 overlapping genes (DTL, DLGAP5, KIF15, NUSAP1, RRM2, and TOP2A) were eventually selected. GEPIA and Oncomine were implemented for validating the gene expression and all the six hub genes were highly expressed in OC specimens compared to normal OV tissues. Furthermore, 5 of 6 genes except for DTL were associated with worse prognosis using Kaplan Meier-plotter online tool and 3 of 6 genes were significantly related to clinical stages, including RRM2, DTL, and KIF15. Additionally, cBioPortal showed that TOP2A and RRM2 were the targets of cancer drugs in patients with OC, indicating the other four genes may also be potential drug targets. Conclusion Six hub genes (DTL, DLGAP5, KIF15, NUSAP1, RRM2, and TOP2A) present promising predictive value for the development and prognosis of OC and may be used as candidate targets for diagnosis and treatment of OC.

scholarly journals Cell Adhesion Molecules in Normal Skin and Melanoma

Biomolecules ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1213
Author(s):  
Cian D’Arcy ◽  
Christina Kiel
Keyword(s):  
Gene Expression ◽  
Cell Adhesion ◽  
Single Cell ◽  
Adhesion Molecules ◽  
Cell Adhesion Molecules ◽  
Molecular Mechanisms ◽  
Expression Profiles ◽  
Cellular Interactions ◽  
Expression Levels ◽  
Skin Physiology

Cell adhesion molecules (CAMs) of the cadherin, integrin, immunoglobulin, and selectin protein families are indispensable for the formation and maintenance of multicellular tissues, especially epithelia. In the epidermis, they are involved in cell–cell contacts and in cellular interactions with the extracellular matrix (ECM), thereby contributing to the structural integrity and barrier formation of the skin. Bulk and single cell RNA sequencing data show that >170 CAMs are expressed in the healthy human skin, with high expression levels in melanocytes, keratinocytes, endothelial, and smooth muscle cells. Alterations in expression levels of CAMs are involved in melanoma propagation, interaction with the microenvironment, and metastasis. Recent mechanistic analyses together with protein and gene expression data provide a better picture of the role of CAMs in the context of skin physiology and melanoma. Here, we review progress in the field and discuss molecular mechanisms in light of gene expression profiles, including recent single cell RNA expression information. We highlight key adhesion molecules in melanoma, which can guide the identification of pathways and strategies for novel anti-melanoma therapies.

scholarly journals Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis

2022 ◽  
Vol 2022 ◽  
pp. 1-16
Author(s):  
Xiujin Chen ◽  
Nan Zhang ◽  
Yuanyuan Zheng ◽  
Zhichao Tong ◽  
Tuanmin Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Adhesion ◽  
Adhesion Molecules ◽  
Expression Profile ◽  
Cell Adhesion Molecules ◽  
Bioinformatics Analysis ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Hub Genes

Purpose. Osteosarcoma (OS) is the most primary bone malignant tumor in adolescents. Although the treatment of OS has made great progress, patients’ prognosis remains poor due to tumor invasion and metastasis. Materials and Methods. We downloaded the expression profile GSE12865 from the Gene Expression Omnibus database. We screened differential expressed genes (DEGs) by making use of the R limma software package. Based on Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis, we performed the function and pathway enrichment analyses. Then, we constructed a Protein-Protein Interaction network and screened hub genes through the Search Tool for the Retrieval of Interacting Genes. Result. By analyzing the gene expression profile GSE12865, we obtained 703 OS-related DEGs, which contained 166 genes upregulated and 537 genes downregulated. The DEGs were primarily abundant in ribosome, cell adhesion molecules, ubiquitin-ubiquitin ligase activity, and p53 signaling pathway. The hub genes of OS were KDR, CDH5, CD34, CDC42, RBX1, POLR2C, PPP2CA, and RPS2 through PPI network analysis. Finally, GSEA analysis showed that cell adhesion molecules, chemokine signal pathway, transendothelial migration, and focal adhesion were associated with OS. Conclusion. In this study, through analyzing microarray technology and bioinformatics analysis, the hub genes and pathways about OS are identified, and the new molecular mechanism of OS is clarified.

scholarly journals MON-500 Cell Adhesion Molecules mRNA Expression in Thyroid Tumors

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Larissa Teodoro ◽  
Karina Colombera Peres ◽  
Matheus Nascimento ◽  
Elisangela Souza Teixeira ◽  
Icleia Siqueira Barreto ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Adhesion ◽  
Mrna Expression ◽  
Adhesion Molecules ◽  
Cell Adhesion Molecules ◽  
Cancer Biology ◽  
Thyroid Nodules ◽  
Thyroid Tumors ◽  
Papillary Thyroid ◽  
Thyroid Carcinomas

Abstract Thyroid cancer biology is extremely diverse. While some cases never progress clinically or do so indolently, others evolve aggressively and may even lead to death. Cell adhesion molecules are glycoproteins present in the cell membrane and play an important role in inflammatory and neoplastic diseases by recruiting immune cells to these sites. The aim of the present study was to investigate the role of mRNA expression of SELL, ICAM1 and ITGAL in thyroid tumors and their relationship with lymphocyte infiltration. We evaluated by RT-qPCR technique 191 thyroid nodules including 97 benign (79 females, 17 males; 49.8±12.5 years old) and 94 malignant (71 females, 23 males; 48.3±15.5years old) cases. Clinical and pathology data were obtained from 47 goiters; 50 follicular adenomas (FA); 74 papillary thyroid carcinomas (PTC), including: 29 classic papillary thyroid carcinomas (CPTC), 21 follicular variant of PTC (FVPTC), 12oxifilic variant of PTC (OVPTC), 12 tall cell papillary thyroid carcinomas (TCPTC); and 20 follicular thyroid carcinomas (FTC). All patients were managed according to a standard protocol based on current guidelines and followed-up for 78.7±54.2 months. SELL was more expressed in malignant (0.85±1.54 UA) than in benign (0.54±0.71 UA, p=0.0027) nodules. The same occurred with ICAM1 (0.99±1.41 vs. 0.46±0.85, p=0.0001), but not with ITGAL gene expression (1.04±1.63 vs. 0.76±1.21, p=0.2131). In addition, the expression of SELL was different when we compared PTC with FA (0.94±1.62 UA vs. 0.47±0.72 UA, p=0.0018) and FTC with FA (0.82±2.38 UA vs. 0.47±0.72 UA, p=0.0078). ICAM1 expression was lower in goiters (0.46±0.90 UA) when compared with PTC (0.93±1.22 UA, p=0.0030) and FTC (1.03±3.30 UA, p=0.0207). Higher expression of ICAM1 (1.16±3.04 UA vs. 0.52±0.96 UA, p=0.0064) and ITGAL (1.17±1.54 UA vs. 0.49±1.39 UA, p=0.0244) was observed in tumors with lymphocyte infiltrate. Also, ITGAL gene expression was higher in tumors that had distant metastasis at diagnosis (1.53±2.18 UA vs. 0.57±1.10 UA, p=0.0217). We were not able to demonstrate any association between any of the investigated molecules and patients’ outcome. In conclusion, our data suggest that cell adhesion molecules may play an important role in neoplastic thyroid cells proliferation. In addition, our findings show that gene expression of SELL and ICAM1 may assist in the histological characterization of follicular patterned thyroid nodules.

Lenalidomide Up-Regulates SPARC and Inhibits In Vitro Growth of the Malignant Clone in Myelodysplastic Syndrome Patients with 5q Deletion.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 855-855
Author(s):  
Andrea Pellagatti ◽  
Martin Jädersten ◽  
Ann-Mari Forsblom ◽  
Helen Cattan ◽  
Birger Christensson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Myelodysplastic Syndrome ◽  
Transforming Growth Factor Beta ◽  
Transforming Growth Factor ◽  
Expression Profiles ◽  
Activin A ◽  
Healthy Controls ◽  
Erythroid Progenitors ◽  
Normal Cells

Abstract The immunomodulatory drug lenalidomide induces cytogenetic remissions in 75% of patients with myelodysplastic syndrome (MDS) and del(5)(q31) through unknown mechanisms. We investigated the in vitro effects of lenalidomide on growth and maturation in differentiating erythroblasts from MDS patients with del(5)(q31) (n=13) and from healthy controls (n=10). Lenalidomide selectively inhibited growth of del(5q) erythroblasts, while not affecting normal cells, including cytogenetically normal cells from MDS del(5q) patients. The inhibitory effect was more pronounced in erythroid than in myeloid cells. In order to gain insight into the mode of action of lenalidomide and to identify the molecular targets of this drug, we have investigated the gene expression profiles of the lenalidomide-treated and untreated intermediate erythroblasts from MDS del(5q) patients (n=9) and from healthy controls (n=8). GeneChip Human Genome U133 Plus 2.0 arrays (Affymetrix), covering over 47,000 transcripts representing 39,000 human genes, were used. Treatment with lenalidomide significantly influenced the pattern of gene expression in del(5q) intermediate erythroblasts, with up-regulation of VSIG4, PPIC, TPBG, and SPARC in all samples, and down-regulation of many genes involved in erythropoiesis, including HBA2, GYPA, and KLF1, in most samples. Up-regulation of SPARC (median 4.4-fold, range 2.4–9.5) is of particular interest since SPARC, a gene with known tumor suppressor functions, is both anti-proliferative and anti-angiogenic, and is located at 5q31–q32, within the commonly deleted region in MDS 5q- syndrome. Activin A was one of the most significant differentially expressed genes between lenalidomide-treated cells of MDS del(5q) patients and healthy controls. Activin A is a member of the transforming growth factor-beta superfamily, with pleiotropic functions including apoptosis of hemopoietic cells. We conclude that lenalidomide specifically inhibits growth of del(5q) erythroid progenitors, while not affecting cytogenetically normal cells. These novel findings suggest that up-regulation of SPARC and Activin A may underlie the potent effects of lenalidomide, in particular growth inhibition and anti-angiogenesis, in MDS with del(5)(q31). The localization of the SPARC gene to the CDR of the 5q- syndrome is intriguing and, in relation to the findings of the present study, we suggest that SPARC may well play a role in the molecular pathogenesis of the 5q- syndrome.

scholarly journals PO-050 Effects of Exercise on Gene Expression Correlative to Bone Metabolism in Peripheral Blood Mononuclear Cells

2018 ◽  
Vol 1 (3) ◽  
Author(s):  
Yongjie Yang ◽  
Li Gao
Keyword(s):  
Gene Expression ◽  
Cell Adhesion ◽  
Bone Metabolism ◽  
Adhesion Molecules ◽  
Peripheral Blood Mononuclear Cells ◽  
Peripheral Blood ◽  
Cell Adhesion Molecules ◽  
Mononuclear Cells ◽  
Peripheral Blood Mononuclear ◽  
Blood Mononuclear Cells

Objective To examine the gene expression pattern of Peripheral Blood Mononuclear Cells （PBMCs）and to explore exercise-sensitive genes correlative to bone metabolism in PBMCs. Thus to provide a theoretical basis for exercise intervention to prevent and treat osteoporosis.  Methods Uphill (+8° ) and downhill (-8° ) training were used for the exercise loading in two-month-old male Sprague-Dawley rats. The exercise method performed at 25 m/min, training 50 min/d, 5 d/wk, for 12 wk, respectively. Bone mineral density of distal femurs was measured using dual X-ray absorptiometry, and the expressed gene profile of PBMCs was examined using Gene Chip IVT Labeling Kit (Affymetrix).  Results Compared with control (CON) group, the BMD of the femur in the downhill (DOWN) group was significantly increased. Compared with the uphill （UP）group, the BMD and BMC of the femur in the DOWN group were significantly increased. There were 38 genes detected differentially expressed between two exercise groups together with CON group. The expression of genes modified by running involved in immunity, cell proliferation，Rheumatoid arthritis，Cell adhesion molecules and Tnf signaling pathway. There were 105 differently expressed genes between the DOWN group and the UP group which were mainly enriched in biological processes and pathways such as response to hydrogen peroxide，lipopolysaccharide，cell factor and  mechanical stimulus，Cell adhesion molecules，cell migration，collagen biosynthetic process and Tnf signaling pathway. Tnf, Cxcl2, Ccl2, Jun and Mmp9 as the key nodes of protein interaction network were identified as candidate genes related to bone metabolism and sensitive to exercise.  Conclusions With weight gaining，age increasing and training time prolonging, long-term and high-intensity exercise will be harm for bone. At the same time and same running speed, downhill running conduces to increase bone density more than uphill running. It may be associated with differential expression of exercise-sensitive genes involved in bone metabolism in PBMCs.

Leukocyte recruitment in colon cancer: Role of cell adhesion molecules, nitric oxide, and transforming growth factor β1

2002 ◽  
Vol 122 (4) ◽  
pp. 1122-1132 ◽  
Author(s):  
Xavier Bessa ◽  
J.Ignasi Elizalde ◽  
Francesc Mitjans ◽  
Virgínia Piñol ◽  
Rosa Miquel ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Colon Cancer ◽  
Cell Adhesion ◽  
Growth Factor ◽  
Adhesion Molecules ◽  
Cell Adhesion Molecules ◽  
Transforming Growth Factor ◽  
Transforming Growth Factor Β1 ◽  
Leukocyte Recruitment
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