Immunohistochemical Study of NR2C2, BTG2, TBX19, and CDK2 Expression in 31 Paired Primary/Recurrent Nonfunctioning Pituitary Adenomas

Yao, Xiaohui; Zhang, Yazhou; Wu, Lijuan; Cheng, Rui; Li, Chuzhong; Qu, Chongxiao; Ji, Hongming

doi:10.1155/2019/5731639

Cited by 7 publications

(7 citation statements)

References 46 publications

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“…This protein functions as protector of cells from oxidative stress. Overexpression of NR2C2 has been associated with adenoma progression previously (Yao et al 2019). NR2C2 has been downregulated in this study.…”

Section: Discussionsupporting

confidence: 55%

Biomarker Candidates Identified in Behcet’s Disease Using Integrative Analysis

Sevimoglu

2021

Konya Journal of Engineering Sciences

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Behcet's Disease is a rare auto inflammatory and autoimmune disorder that causes blood vessel inflammation throughout the body and can affect all organ systems. The pathophysiology of the disease is still under investigation. Since the symptoms are varying it is difficult to diagnose and there are no sufficient medical treatments for the disease. In this study Behcet's Disease gene (Samples from isolated CD4+ T cells and CD14+ monocytes) and miRNA expression (samples from platelet free plasma) datasets were statistically analyzed. Differentially expressed genes for CD4+ T cells and CD14+ monocytes have been identified and miRNA associated with this data were listed. Protein-protein and miRNA -target gene interaction networks were constructed and hubs of these networks were identified for both cell types. Metabolites and metabolic pathways associated with gene expression data were displayed and enrichment analysis was done to identify associated signaling pathways and diseases. Differentially expressed miRNAs of platelet free plasma samples were also identified. The analysis results indicated cell/tissue type dependent genomic reprogramming. Mutual hub miRNAs (hsa-miR-17-5p, hsa-miR-603, hsa-miR-375, hsa-miR-107, hsa-miR-454-3p, hsa-miR-650, hsa-miR-142-3p and hsa-miR-765) in all cell/tissue types and metabolites (guanidinoacetate and histone-L-lysine) for CD4+ and CD14+ cells may be considered as biomarker candidates. Future studies focusing on these candidate biomarkers might yield a diagnostic kit or design of enhanced therapeutics for Behcet's Disease.

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Section: Discussionsupporting

confidence: 55%

Biomarker Candidates Identified in Behcet’s Disease Using Integrative Analysis

Sevimoglu

2021

Konya Journal of Engineering Sciences

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“…The role of age in recurrence is controversial. Yao et al and Batista et al both revealed that age was not associated with recurrence (22,23). However, Losa et al indicated that younger age was associated with the possibility of tumor recurrence (24).…”

Section: A B Cmentioning

confidence: 99%

Nomogram predictive model of post-operative recurrence in non-functioning pituitary adenoma

et al. 2021

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Background:To analyze and predict the possibility of post-operative recurrence in non-functioning pituitary adenoma (NFPA) patients, we investigated the clinical factors leading to tumor recurrence and built a nomogram predictive model based on these risk factors.Methods: A single-center retrospective study was performed. A total of 145 NFPA patients who underwent surgical treatment at Shenzhen People's Hospital from September 2013 to January 2019 were selected. Among them, 52 patients were diagnosed with recurrence of NFPA according to follow-up investigations.Binary logistic regression analysis was used to determine the significant risk factors. A nomogram model was then built to predict recurrence using these factors. Results:The univariate analysis and the binary logistic regression analysis showed that age, tumor size, cavernous invasion, sphenoid sinus invasion, and surgical extension were significant factors affecting tumor recurrence. We then built a nomogram model to predict post-operative recurrence in NFPA patients using these factors. The correlation analysis indicated that sphenoid sinus invasion [hazard ratio (HR) =13.14, 95%

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“…For the downregulated intergenic lncRNA, ENST00000432511, the results of high-throughput sequencing revealed BTG2 (PC3|TIS21) as its coexpressed gene. BTG2 encodes antiproliferative factor 2, which is a transcriptional synergistic regulatory factor involved in the regulation of cell differentiation, growth, and survival [23].…”

Section: Data Comparison Between the Lada And Nondiseasedmentioning

confidence: 99%

The Differential Expression of Long Noncoding RNAs in Type 2 Diabetes Mellitus and Latent Autoimmune Diabetes in Adults

Zhang

Yan

et al. 2020

International Journal of Endocrinology

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Background. Long noncoding RNAs (lncRNAs) were previously found to be closely related to the pathogenesis of diabetes. Objectives. To reveal the differentially expressed lncRNAs and messenger RNAs (mRNAs) involved in type 2 diabetes mellitus (T2DM) and latent autoimmune diabetes in adults (LADA) and predict the lncRNA target genes to derive their expression profiles for the diagnosis of T2DM and LADA and their differential diagnosis. Methods. Twelve venous blood samples were collected from T2DM patients, LADA patients, and nondiseased subjects to obtain total RNAs. After removing rRNA from total RNAs to establish the desired library for sequencing, quality control and quantification analyses were carried out. The fragments per kilobase of exon model per million reads mapped (FPKM) of lncRNAs were calculated to construct the gene expression profiles of lncRNAs and mRNAs. Fold changes (fold change: 2.0) and p values (p value: 0.05, FPKM ≥ 0.1) were calculated, and then differentially expressed lncRNAs and mRNAs were screened. To obtain the significantly coexpressed lncRNA-mRNA pairs, the lncRNA target genes were deduced according to the association between adjacent sites. Results. Compared to nondiseased controls, 68,763 versus 28,523 lncRNAs and 133 versus 1035 mRNAs were significantly upregulated and significantly downregulated, respectively, in T2DM patients. For LADA patients, 68,748 versus 28,538 lncRNAs and 219 versus 805 mRNAs were significantly upregulated and significantly downregulated, respectively, relative to nondiseased controls. Compared to T2DM patients, 74,207 versus 23,079 lncRNAs and 349 versus 137 mRNAs were significantly upregulated and significantly downregulated, respectively, in LADA patients. Based on the correlation analysis, seven lncRNA-mRNA pairs (BTG2, A2M, HECTD4, MBTPS1, DBH, FLVCR1, and NCBP2) were significantly coexpressed, and two lncRNAs (ENST00000608916 and ENST00000436373) were newly discovered. Conclusion. Significant differences in lncRNA expression were discovered among the three groups. Furthermore, after predicting lncRNA expression profiles, GO/KEGG pathway analysis could deduce the target gene function.

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Immunohistochemical Study of NR2C2, BTG2, TBX19, and CDK2 Expression in 31 Paired Primary/Recurrent Nonfunctioning Pituitary Adenomas

Cited by 7 publications

References 46 publications

Biomarker Candidates Identified in Behcet’s Disease Using Integrative Analysis

Biomarker Candidates Identified in Behcet’s Disease Using Integrative Analysis

Nomogram predictive model of post-operative recurrence in non-functioning pituitary adenoma

The Differential Expression of Long Noncoding RNAs in Type 2 Diabetes Mellitus and Latent Autoimmune Diabetes in Adults

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