A Case–Control Study on Association of Ulcerative Colitis with<i>FCGR2A</i>Gene Polymorphisms in Chinese Patients

Xia, Shenglong; Lin, Deqing; Lin, Quankui; Sun, Liang; Wang, Xiaoqi; Hong, Weijun; Lin, Zijian; Du, Chong-Chen; Jiang, Yi

doi:10.1089/gtmb.2018.0042

Cited by 8 publications

(8 citation statements)

References 29 publications

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“…Activating FcγRIIA and FcγRIIIB on human neutrophils have low affinity for monomeric IgG but efficiently bind antigen-complexed immunoglobulin Gs (IgGs), which promotes receptor clustering and activation of neutrophil effector functions. Single nucleotide polymorphisms (SNPs) in FcγRIIA are associated with diseases ranging from rheumatoid arthritis to sepsis ( Anania et al, 2018 ; Beppler et al, 2016 ; Duits et al, 1995 ; Khor et al, 2011 ; Radstake et al, 2003 ; Rossi et al, 2018 ; Xia et al, 2018 ). FcγRIIA mediates destructive antibody-based inflammation ( Bruhns and Jönsson, 2015 ) by promoting a number of neutrophil effector responses by immunoreceptor-tyrosine-based-activation motif (ITAM)-based signaling ( Ben Mkaddem et al, 2019 ; Wang and Jönsson, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Inhibitory affinity modulation of FcγRIIA ligand binding by glycosphingolipids by inside-out signaling

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Inhibitory affinity modulation of FcγRIIA ligand binding by glycosphingolipids by inside-out signaling

et al. 2021

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“…These autoimmune diseases responsible genes might be critical for the development of CD. Recently, study found that CXCL5 [454], S100A12 [455], OSM (oncostatin M) [456], LRG1 [457], LCN2 [458], CXCL1 [459], S100A9 [460], IFITM1 [461], XBP1 [462], MMP3 [457], IFITM3 [463], IL1B [464], GBP5 [465], HGF (hepatocyte growth factor) [466], CXCL9 [467], SLC11A1 [468], IL1RN [469], STAT1 [470], CYP27B1 [471], MMP1 [472], SOCS3 [473], TLR8 [474], CD55 [475], CCL28 [476], FCGR2A [477], CCL2 [478], CFB (complement factor B) [479], CD14 [480], GPR84 [481], PCSK9 [482], FOXP3 [483], LPL (lipoprotein lipase) [484], IL1R2 [485], TLR2 [486], MEFV (MEFV innate immuity regulator, pyrin) [487], VWF (von Willebrand factor) [488], NOD2 [489], DMBT1 [490], HSPA6 [491], TIMP1 [492], ICAM1 [493], EGR1 [494], CCL11 [495], IFNG (interferon gamma) [496], APOE (apolipoprotein E) [497] FGR (FGR proto-oncogene, Src family tyrosine kinase) [498], IL6 [499], SPP1 [192], IL11 [500], RNF186 [501], MMP2 [502], CD24 [503], SPHK1 [504], GZMB (granzyme B) [505], MUC5AC [506], SERPINA3 [507], TWIST1 [508], PLAU (plasminogen activator, urokinase) [509], CA2 [510], CA9 [510], CTLA4 [511], PADI4 [512], MMP13 [513], MPO (myeloperoxidase) [244], LEFTY1 [514], CA1 [515], MMP7 [513], ABCG2 [516], CYP2J2 [517], AICDA (activation induced cytidine deaminase) [518], CYP2D6 [519], CYP3A5 [52...…”

Section: Discussionmentioning

confidence: 99%

Identification of hub genes and key pathways in pediatric Crohn’s disease using next generation sequencing and bioinformatics analysis

Vastrad¹,

Vastrad²

2022

Preprint

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Pediatric Crohn's Disease (CD) also known as inflammatory bowel diseases, affects millions of people all over the world. The aim of this investigation is to identify the key genes in CD and uncover their potential functions. We downloaded the next generation sequencing (NGS) dataset GSE73374 from the Gene Expression Omnibus (GEO) database. The NGS dataset GSE73374 was used to screen differentially expressed genes (DEGs) between samples from patients with CD and healthy controls. Gene ontology (GO) and REACTOME pathway enrichment analyses were applied for the DEGs. Subsequently, a protein - protein interaction (PPI) network, modules, miRNA- hub gene regulatory network and TF - hub gene regulatory network were constructed to identify hub genes, miRNAs and TFs. Receiver operating characteristic curve (ROC) analysis was applied to validate the hub genes. A total of 957 DEGs were identified, including 478 up regulated genes and 479 down regulated genes. GO and REACTOME results suggested that several Go terms and pathways are involved in response to stimulus, extracellular region, signaling receptor binding, small molecule metabolic process, membrane, transporter activity, immune system and biological oxidations. The top centrality hub genes MDFI, MNDA, FBXO6, TFRC, STAT1, DPP4, MME, SLC39A4, APOA1 and TMEM25 were screened out as the critical genes among the DEGs from the PPI network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network. This investigation identified key genes and signal pathways, which might help us improve our understanding of the molecular mechanisms of CD and identify some novel therapeutic targets for CD.

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“…In a previous study, FCGRs generated by the natural killer (NK) cells, macrophages, and DCs could modulate the antibody-dependent cytotoxicities, which were crucial for the elimination of can-cer cells. FCGR2A gene polymorphism was reportedly associated with the susceptibility of inflammation-related diseases, such as atherosclerosis [6], Takayasu arteritis [7], systemic lupus erythematosus (SLE) [8], and ulcerative colitis [9]. To 2 BioMed Research International date, some studies have been conducted to investigate the roles of FCGR2A gene polymorphism in malignancies.…”

Section: Introductionmentioning

confidence: 99%

FCGR2A Could Function as a Prognostic Marker and Correlate with Immune Infiltration in Head and Neck Squamous Cell Carcinoma

Dai

Chen

Huang

et al. 2021

BioMed Research International

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Objective. We aim to investigate the correlation between FCGR2A mRNA level and prognosis of head and neck squamous cancer (HNSC) in public databases. In addition, we investigated the correlation between FCGR2A expression and clinicopathological characteristics and tumor-infiltrating immune cells in HNSC patients. Methods. FCGR2A mRNA expression in multiple cancers was analyzed based on Gene Expression Profiling Interactive Analysis. A protein-protein interaction network was obtained based on the STRING database. The 10 proteins most closely related to FCGR2A (i.e., CD3G, PLCG2, LAT, LYN, SYK, FCGR3A, PIK3R1, HCK, ITGAM, and ITGB2) were screened, followed by establishing the protein-protein interaction network. The correlation between FCGR2A expression and immunocytes was investigated, together with the effects of FCGR2A on the metastasis, recurrence, and survival of HNSC. Results. FCGR2A expression in several carcinoma tissues was significantly higher than that of adjacent tissues. Significant differences were noticed in the HNSC samples and the adjacent tissue samples except the seven samples of grade 4. There were statistical differences between the FCGR2A expression in tissues of grade 1, grade 2, and grade 3 ( P < 0.05 ). In the tissues of grade 4, the expression of FCGR2A was the lowest. The FCGR2A protein was a type of II-a receptor in γFc of the low-affinity immunoglobulin, which could bind with the Fc region of the immunoglobulin γ. There was a correlation between the FCGR2A gene and the distal HNSC metastasis. FCGR2A gene expression was correlated with the survival and prognosis. The GSE65858 dataset was selected for the validation. The FCGR2A expression was significantly correlated with total survival ( P = 0.0107 ) and progression-free survival ( P = 0.0362 ). Conclusions. Our findings shed light on the importance of FCGR2A in HNSC and illustrated a potential relationship between FCGR2A and tumor-immune interactions.

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A Case–Control Study on Association of Ulcerative Colitis withFCGR2AGene Polymorphisms in Chinese Patients

Cited by 8 publications

References 29 publications

Inhibitory affinity modulation of FcγRIIA ligand binding by glycosphingolipids by inside-out signaling

Inhibitory affinity modulation of FcγRIIA ligand binding by glycosphingolipids by inside-out signaling

Identification of hub genes and key pathways in pediatric Crohn’s disease using next generation sequencing and bioinformatics analysis

FCGR2A Could Function as a Prognostic Marker and Correlate with Immune Infiltration in Head and Neck Squamous Cell Carcinoma

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