SynthesisActa neuropathologica2024
Pituitary neuroendocrine tumors with PIT1/SF1 co-expression show distinct clinicopathological and molecular features.
Synthesis in Acta neuropathologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Pituitary Neuroendocrine Tumor or Pituitary Adenoma? Let's Ask the Epigenome!Endocrine pathology · 2025Pooled it
- Genomic characterization of aggressiveness in pituitary neuroendocrine tumors.Neuro-oncology · 2026Article
- Association between preoperative MRI radiomic features and methylation-defined phenotypes in non-functioning pituitary adenomas.Pituitary · 2026Article
- Multi-omics integration unravels four molecular subgroups of corticotroph pituitary neuroendocrine tumours with distinct clinicopathological features.Nature communications · 2026Article
- Invasiveness, SOX2 Expression, and Resection Outcomes in TF-Defined PitNETs After Extra-Pseudocapsular Resection.Current medical science · 2026Article
- GH responsiveness to corticotropin-releasing hormone identifies corticotroph-like somatotroph adenomas in acromegaly.Pituitary · 2026Article
- Adenoma receptors and histologic characteristics determining management outcomes.The Journal of clinical endocrinology and metabolism · 2026Review
- From Histology to Multi-Omics: Review of Chordoma Classification and Its Clinical Implications.Cells · 2026Review
- The role of methylation in pituitary neuroendocrine tumors current insights and emerging perspectives.Molecular biology reports · 2026Review
- Clinicopathological analysis of 19 cases of mixed gangliocytoma-pituitary neuroendocrine tumors.Diagnostic pathology · 2026Article
- Synergistic prognostic value of transcription factor multiplicity and Ki-67 in pituitary neuroendocrine tumour recurrence after endoscopic transsphenoidal surgery: a novel tiered molecular risk model.Frontiers in endocrinology · 2026Article
- Pathological Classification and Clinical Characteristics of Growth Hormone-Secreting PitNETs.Neuroendocrinology · 2026Article
- Acidophil stem cell-like pituitary neuroendocrine tumors with heterogeneous PIT1/SF1 or LH lineage-marker expression: a clinicopathological study of three cases.Frontiers in endocrinology · 2026Article
- DNA methylation profiling of pituitary neuroendocrine tumors identifies distinct clinical and pathological subtypes based on epigenetic differentiation.Neuro-oncology · 2025Article
- CCNV: a user-friendly R package enabling large-scale cumulative copy number variation analyses of DNA methylation data.BMC bioinformatics · 2025Article
- PIT-1/SF-1-positive pituitary tumors in patients with acromegaly: transcriptomic perspective.Acta neuropathologica communications · 2025Article
- Current understanding of the role of DNA methylation in pituitary neuroendocrine tumors.Neuro-oncology advances · 2025Article
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- Comparison of the clinical and prognostic characteristics of patients with different pathological types in acromegaly.Frontiers in endocrinology · 2025Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Pituitary neuroendocrine tumors (PitNETs) are classified according to cell lineage, which requires immunohistochemistry for adenohypophyseal hormones and the transcription factors (TFs) PIT1, SF1, and TPIT. According to the current WHO 2022 classification, PitNETs with co-expression of multiple TFs are termed "plurihormonal". Previously, PIT1/SF1 co-expression was prevailingly reported in PitNETs, which otherwise correspond to the somatotroph lineage. However, little is known about such tumors and the WHO classification has not recognized their significance. We compiled an in-house case series of 100 tumors, previously diagnosed as somatotroph PitNETs. Following TF staining, histopathological features associated with PIT1/SF1 co-expression were assessed. Integration of in-house and publicly available sample data allowed for a meta-analysis of SF1-associated clinicopathological and molecular features across a total of 270 somatotroph PitNETs. The majority (74%, 52/70) of our densely granulated somatotroph PitNETs (DGST) unequivocally co-expressed PIT1 and SF1 (DGST-PIT1/SF1). None (0%, 0/30) of our sparsely granulated somatotroph PitNETs (SGST) stained positive for SF1 (SGST-PIT1). Among DGST, PIT1/SF1 co-expression was significantly associated with scarce FSH/LH expression and fewer fibrous bodies compared to DGST-PIT1. Integrated molecular analyses including publicly available samples confirmed that DGST-PIT1/SF1, DGST-PIT1 and SGST-PIT1 represent distinct tumor subtypes. Clinicopathological meta-analyses indicated that DGST-PIT1 respond more favorably towards treatment with somatostatin analogs compared to DGST-PIT1/SF1, while both these subtypes show an overall less aggressive clinical course than SGST-PIT1. In this study, we spotlight that DGST with co-expression of PIT1 and SF1 represent a common, yet underrecognized, distinct PitNET subtype. Our study questions the rationale of generally classifying such tumors as "plurihormonal", and calls for a refinement of the WHO classification. We propose the term "somatogonadotroph PitNET".
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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.