ArticleFrontiers in endocrinology2019
Co-expression Network Analysis Elucidated a Core Module in Association With Prognosis of Non-functioning Non-invasive Human Pituitary Adenoma.
Article in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 35 citations in OpenAlex.
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- PDCD2L overexpression represents an unfavorable prognostic marker and its inhibition shows promising therapeutic potential for gastric cancer.Cancer biomarkers : section A of Disease markers · 2025Article
- Golgi_traff phylogeny reveals ancient eukaryotic genes with recent surprises: replication and diversification of HID1 domain-containing protein unique to Schizosaccharomyces.FEMS microbiology letters · 2025Article
- Transcriptome Analysis Reveals Distinct Patterns Between the Invasive and Noninvasive Pituitary Neuroendocrine Tumors.Journal of the Endocrine Society · 2024Article
- HDAC-driven mechanisms in anticancer resistance: epigenetics and beyond.Cancer drug resistance (Alhambra, Calif.) · 2024Review
- Differential co-expression network analysis elucidated genes associated with sensitivity to farnesyltransferase inhibitor and prognosis of acute myeloid leukemia.Cancer medicine · 2023Article
- Epigenomic and transcriptomic landscaping unraveled candidate repositioned therapeutics for non-functioning pituitary neuroendocrine tumors.Journal of endocrinological investigation · 2023Article
- Predictive Value of Blood Markers in Nonfunctional Pituitary Adenomas using Artificial Neural Network.Advanced biomedical research · 2023Article
- Prognostic value of the immune target CEACAM6 in cancer: a meta-analysis.Therapeutic advances in medical oncology · 2022Article
- Gene co-expression network analysis revealed novel biomarkers for ovarian cancer.Frontiers in genetics · 2022Article
- Prognostic prediction and gene regulation network ofJournal of gastrointestinal oncology · 2021Article
- Overview of omics biomarkers in pituitary neuroendocrine tumors to design future diagnosis and treatment strategies.The EPMA journal · 2021Review
- A Transcriptome Community-and-Module Approach of the Human Mesoconnectome.Entropy (Basel, Switzerland) · 2021Article
- Is there any gender difference in epidemiology, clinical presentation and co-morbidities of non-functioning pituitary adenomas? A prospective survey of a National Referral Center and review of the literature.Journal of endocrinological investigation · 2021Article
- Transcriptomic analysis identifies a tumor subtype mRNA classifier for invasive non-functioning pituitary neuroendocrine tumor diagnostics.Theranostics · 2021Article
- Y-Box Binding Protein-1 Promotes Epithelial-Mesenchymal Transition in Sorafenib-Resistant Hepatocellular Carcinoma Cells.International journal of molecular sciences · 2020Article
- Identification of gene co-expression modules and hub genes associated with the invasiveness of pituitary adenoma.Endocrine · 2020Article
- Drug Repositioning for P-Glycoprotein Mediated Co-Expression Networks in Colorectal Cancer.Frontiers in oncology · 2020Article
- Systematic Identification of Hub Genes in Placenta Accreta Spectrum Based on Integrated Transcriptomic and Proteomic Analysis.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-functioning pituitary adenomas (NFPAs) are tumors with clinically challenging features since they have insidious progression. A complex network of gene interactions is thought to have roles in tumor formation and progression. Therefore, revealing the genetic network behind NFPA tumorigenesis is not only essential to attain further knowledge of tumor biology, but also plays a fundamental role in the development of efficacious treatment strategies. Differential co-expression network analysis is an outstanding approach for elucidation of groups of genes which show distinct co-expression patterns among phenotypes. In this study, we carried out a differential co-expression network analysis of NFPA-associated transcriptome dataset (
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