ArticlePloS one2017
Contribution of molecular analysis to the typification of the non-functioning pituitary adenomas.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Practical approaches to diagnosing PitNETs/adenomas based on cell lineage.Brain pathology (Zurich, Switzerland) · 2025Review
- An Update on Silent Corticotroph Adenomas: Diagnosis, Mechanisms, Clinical Features, and Management.Cancers · 2021Review
- The silent variants of pituitary tumors: demographic, radiological and molecular characteristics.Journal of endocrinological investigation · 2021Observational
- Differential Expression of MicroRNAs in Silent and Functioning Corticotroph Tumors.Journal of clinical medicine · 2020Article
- IncreasedDiagnostics (Basel, Switzerland) · 2020Article
- Article
- Association between radiological parameters and clinical and molecular characteristics in human somatotropinomas.Scientific reports · 2018Article
- Management of NFAs: medical treatment.Pituitary · 2018Review
- Is it time to consider the expression of specific-pituitary hormone genes when typifying pituitary tumours?PloS one · 2018Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimThe WHO Classification of Tumours of Endocrine Organs considers the inmunohistochemical characterization of pituitary adenomas (PA) as mandatory for patient diagnosis. Recent advances in the knowledge of the molecular patterns of these tumours could complement this classification with gene expression profiling.
methodsWithin the context of the Spanish Molecular Registry of Pituitary Adenomas (REMAH), a multicentre clinical-basic research project, we analysed the molecular phenotype of 142 PAs with complete IHC and clinical information. Gene expression levels of all pituitary hormones, type 1 corticotrophin-releasing hormone receptor, dopamine receptors and arginine vasopressin receptor 1b were measured by quantitative real-time polymerase chain reaction. In addition, we used three housekeeping genes for normalization and a pool of nine healthy pituitary glands from autopsies as calibration reference standard.
resultsBased on the clinically functioning PA (FPA: somatotroph, corticotroph, thyrotroph and lactotroph adenomas), we established the interquartile range of relative expression for all genes studied in each PA subtype. That allowed molecularly the different PA subtypes, including the clinically non-functioning PA (NFPA). Afterwards, we estimated the concordance of the molecular and immunohistochemical classification with clinical diagnosis in FPA and between them in NFPA. The kappa values were higher in molecular than in immunohistochemical classification in FPA and showed a bad concordance in all NFPA subtypes.
conclusionsAccording to these results, the molecular characterization of the PA complements the IHC analysis, allowing a better typification of the NFPA.
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