ArticleActa neuropathologica communications2021
Annotation of pituitary neuroendocrine tumors with genome-wide expression analysis.
Article in Acta neuropathologica communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Pituitary neuroendocrine tumors with PIT1/SF1 co-expression show distinct clinicopathological and molecular features.Acta neuropathologica · 2024Pooled it
- The Role of Activation of PI3K/AKT/mTOR and RAF/MEK/ERK Pathways in Aggressive Pituitary Adenomas-New Potential Therapeutic Approach-A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Gemella morbillorum Promotes Colorectal Carcinogenesis: LPBDCP-Mediated Invasion Activates Ras Signaling and Destabilizes p53.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Tissue- and tumor-type-specific expression of internal-promoter-driven YEATS-domain-devoid isoforms of MLLT1 and MLLT3.Biomarker research · 2026Article
- Rapid intraoperative boundary diagnosis of somatotroph pituitary neuroendocrine tumors using real-time PCR.Acta neuropathologica communications · 2026Article
- Mixed gangliocytoma-pituitary neuroendocrine tumour: clinical, immunohistochemical, and molecular genetic profiles in a series of four patients.Acta neuropathologica communications · 2026Article
- Corticotroph Tumour Type Influences Clinical Behaviour in Patients With Nonfunctioning Pituitary Neuroendocrine Tumours.Endocrinology, diabetes & metabolism · 2026Article
- Multidimensional tumor-blood profiling uncovers systemic lymphocyte-monocyte imbalance in pituitary neuroendocrine tumors.Signal transduction and targeted therapy · 2025Article
- Genome Selection and Genome-Wide Association Analyses for Litter Size Traits in Large White Pigs.Animals : an open access journal from MDPI · 2025Article
- The evolution and application of multi-omic analysis for pituitary neuroendocrine tumors.Frontiers in medicine · 2025Review
- Grading and staging for pituitary neuroendocrine tumors.Brain pathology (Zurich, Switzerland) · 2025Review
- The 2022 WHO classification of tumors of the pituitary gland: An update on aggressive and metastatic pituitary neuroendocrine tumors.Brain pathology (Zurich, Switzerland) · 2025Review
- Transcriptome Analysis Reveals Distinct Patterns Between the Invasive and Noninvasive Pituitary Neuroendocrine Tumors.Journal of the Endocrine Society · 2024Article
- A Study of Alternative TrkA Splicing Identifies TrkAIII as a Novel Potentially Targetable Participant in PitNET Progression.Biology · 2024Article
- Article
- Integrated proteogenomic characterization across major histological types of pituitary neuroendocrine tumors.Cell research · 2022Article
- Genome-Wide Association Study Identifies Multiple Susceptibility Loci for Malignant Neoplasms of the Brain in Taiwan.Journal of personalized medicine · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pituitary neuroendocrine tumors (PitNETs) are common, generally benign tumors with complex clinical characteristics related to hormone hypersecretion and/or growing sellar tumor mass. PitNETs can be classified based on the expression pattern of anterior pituitary hormones and three main transcriptions factors (TF), SF1, PIT1 and TPIT that regulate differentiation of adenohypophysial cells. Here, we have extended this classification based on the global transcriptomics landscape using tumor tissue from a well-defined cohort comprising 51 PitNETs of different clinical and histological types. The molecular profiles were compared with current classification schemes based on immunohistochemistry. Our results identified three main clusters of PitNETs that were aligned with the main pituitary TFs expression patterns. Our analyses enabled further identification of specific genes and expression patterns, including both known and unknown genes, that could distinguish the three different classes of PitNETs. We conclude that the current classification of PitNETs based on the expression of SF1, PIT1 and TPIT reflects three distinct subtypes of PitNETs with different underlying biology and partly independent from the expression of corresponding hormones. The transcriptomic analysis reveals several potentially targetable tumor-driving genes with previously unknown role in pituitary tumorigenesis.
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