ArticleInternational journal of endocrinology2015
Identification of differentially expressed genes in pituitary adenomas by integrating analysis of microarray data.
Article in International journal of endocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 25 citations in OpenAlex.
- Differential Expression of Hypothalamic Genes in Laying Hens Housed in Caged and Cage-Free Systems Under Commercial Conditions in the Tropics.Animals : an open access journal from MDPI · 2026Article
- Identification of Immune-Related Ferroptosis Biomarkers in Diabetic Kidney Disease and Screening of Associated Inhibitors.Current medical science · 2025Article
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- O-GlcNAcylation Is Essential for Rapid Pomc Expression and Cell Proliferation in Corticotropic Tumor Cells.Endocrinology · 2021Article
- Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma.PloS one · 2021Article
- Identification of Key Candidate Genes and Chemical Perturbagens in Diabetic Kidney Disease Using Integrated Bioinformatics Analysis.Frontiers in endocrinology · 2021Article
- Identification of Potential Biomarkers with Diagnostic Value in Pituitary Adenomas Using Prediction Analysis for Microarrays Method.Journal of molecular neuroscience : MN · 2019Article
- Regulating the CCNB1 gene can affect cell proliferation and apoptosis in pituitary adenomas and activate epithelial-to-mesenchymal transition.Oncology letters · 2019Article
- Identification and analysis of genes associated with papillary thyroid carcinoma by bioinformatics methods.Bioscience reports · 2019Article
- Integrative analysis of gene expression profiles reveals distinct molecular characteristics in oral tongue squamous cell carcinoma.Oncology letters · 2019Article
- Identification of Transcriptional Metabolic Dysregulation in Subtypes of Pituitary Adenoma by Integrated Bioinformatics Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019Article
- Identification and bioinformatics analysis of overlapping differentially expressed genes in depression, papillary thyroid cancer and uterine fibroids.Experimental and therapeutic medicine · 2018Article
- Elucidating mechanistic insights into drug action for atopic dermatitis: a systems biology approach.BMC dermatology · 2018Article
- Identification of common key genes in breast, lung and prostate cancer and exploration of their heterogeneous expression.Oncology letters · 2018Article
- Corrigendum to "Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data".International journal of endocrinology · 2018Article
- Comment on "Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data".International journal of endocrinology · 2017Article
- Microarray technology reveals potentially novel genes and pathways involved in non-functioning pituitary adenomas.Balkan journal of medical genetics : BJMG · 2016Article
- Exploring the intrinsic differences among breast tumor subtypes defined using immunohistochemistry markers based on the decision tree.Scientific reports · 2016Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pituitary adenomas, monoclonal in origin, are the most common intracranial neoplasms. Altered gene expression as well as somatic mutations is detected frequently in pituitary adenomas. The purpose of this study was to detect differentially expressed genes (DEGs) and biological processes during tumor formation of pituitary adenomas. We performed an integrated analysis of publicly available GEO datasets of pituitary adenomas to identify DEGs between pituitary adenomas and normal control (NC) tissues. Gene function analysis including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) networks analysis was conducted to interpret the biological role of those DEGs. In this study we detected 3994 DEGs (2043 upregulated and 1951 downregulated) in pituitary adenoma through an integrated analysis of 5 different microarray datasets. Gene function analysis revealed that the functions of those DEGs were highly correlated with the development of pituitary adenoma. This integrated analysis of microarray data identified some genes and pathways associated with pituitary adenoma, which may help to understand the pathology underlying pituitary adenoma and contribute to the successful identification of therapeutic targets for pituitary adenoma.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.